From 39350d107049e502566c3ba1b9bbb1b5114ee333 Mon Sep 17 00:00:00 2001 From: bes-dev Date: Sun, 29 Jun 2025 14:16:36 +0400 Subject: [PATCH 1/8] add simple implementation of localdb --- DEVELOPMENT.md | 184 ---- Makefile | 9 +- README.md | 228 +---- examples/README.md | 35 + examples/health_db_demo.py | 444 +++++++++ pyproject.toml | 29 +- src/garmy/localdb/__init__.py | 8 + src/garmy/localdb/config.py | 49 + src/garmy/localdb/db.py | 592 ++++++++++++ src/garmy/localdb/models.py | 18 + src/garmy/localdb/progress.py | 470 +++++++++ src/garmy/localdb/sync.py | 748 +++++++++++++++ src/garmy/mcp/__init__.py | 77 -- src/garmy/mcp/__main__.py | 10 - src/garmy/mcp/cli.py | 159 ---- src/garmy/mcp/config.py | 205 ---- src/garmy/mcp/prompts/__init__.py | 9 - src/garmy/mcp/prompts/templates.py | 133 --- src/garmy/mcp/resources/__init__.py | 9 - src/garmy/mcp/resources/providers.py | 95 -- src/garmy/mcp/server.py | 353 ------- src/garmy/mcp/tools/__init__.py | 12 - src/garmy/mcp/tools/analysis.py | 190 ---- src/garmy/mcp/tools/auth.py | 165 ---- src/garmy/mcp/tools/metrics.py | 716 -------------- tests/test_mcp_analysis.py | 335 ------- tests/test_mcp_auth.py | 496 ---------- tests/test_mcp_config.py | 381 -------- tests/test_mcp_metrics.py | 1320 -------------------------- tests/test_mcp_prompts.py | 257 ----- tests/test_mcp_resources.py | 177 ---- tests/test_mcp_server.py | 848 ----------------- 32 files changed, 2372 insertions(+), 6389 deletions(-) delete mode 100644 DEVELOPMENT.md create mode 100644 examples/health_db_demo.py create mode 100644 src/garmy/localdb/__init__.py create mode 100644 src/garmy/localdb/config.py create mode 100644 src/garmy/localdb/db.py create mode 100644 src/garmy/localdb/models.py create mode 100644 src/garmy/localdb/progress.py create mode 100644 src/garmy/localdb/sync.py delete mode 100644 src/garmy/mcp/__init__.py delete mode 100644 src/garmy/mcp/__main__.py delete mode 100644 src/garmy/mcp/cli.py delete mode 100644 src/garmy/mcp/config.py delete mode 100644 src/garmy/mcp/prompts/__init__.py delete mode 100644 src/garmy/mcp/prompts/templates.py delete mode 100644 src/garmy/mcp/resources/__init__.py delete mode 100644 src/garmy/mcp/resources/providers.py delete mode 100644 src/garmy/mcp/server.py delete mode 100644 src/garmy/mcp/tools/__init__.py delete mode 100644 src/garmy/mcp/tools/analysis.py delete mode 100644 src/garmy/mcp/tools/auth.py delete mode 100644 src/garmy/mcp/tools/metrics.py delete mode 100644 tests/test_mcp_analysis.py delete mode 100644 tests/test_mcp_auth.py delete mode 100644 tests/test_mcp_config.py delete mode 100644 tests/test_mcp_metrics.py delete mode 100644 tests/test_mcp_prompts.py delete mode 100644 tests/test_mcp_resources.py delete mode 100644 tests/test_mcp_server.py diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md deleted file mode 100644 index 32dc6d4..0000000 --- a/DEVELOPMENT.md +++ /dev/null @@ -1,184 +0,0 @@ -# ๐Ÿ”ง Garmy Development Guide - -Complete guide for local development and testing of the Garmy library. - -## ๐Ÿ“ฆ Quick Start - -### Initial Setup -```bash -# Clone and navigate to directory -git clone -cd garmy - -# Install in development mode -make install-dev -``` - -## ๐Ÿš€ Main Commands - -### Help -```bash -make help # Show all available commands -``` - -### Development Environment Setup -```bash -make install-dev # Install development dependencies -``` - -### Code Formatting and Linting -```bash -make format # Format code (black + isort) -make check # Check formatting without changes -make lint # Run all linters -make lint-ruff # Fast linting with ruff -make lint-mypy # Type checking with mypy -make lint-bandit # Security scanning with bandit -``` - -### Testing -```bash -make test # Run all tests with coverage -make test-core # Core module tests -make test-auth # Authentication tests -make test-metrics # Metrics tests -make test-mcp # MCP server tests -``` - -### CI/CD Pipelines -```bash -make quick-check # Quick check (format + ruff + mypy) -make ci # Full pipeline (format + lint + tests) -``` - -### Build and Cleanup -```bash -make build # Build package for distribution -make clean # Clean temporary files and cache -``` - -## ๐Ÿ’ก Recommended Workflows - -### Daily Development -```bash -# 1. Quick check during development -make quick-check - -# 2. Test specific module -make test-core # or other needed module -``` - -### Before Commit -```bash -# Full pipeline before commit -make ci -``` - -### Fixing Code Issues -```bash -# 1. Automatic formatting -make format - -# 2. Automatic ruff fixes -ruff check src/ tests/ examples/ --fix - -# 3. Check results -make quick-check -``` - -## ๐Ÿ“Š Test Coverage Analysis - -After running `make test`, a coverage report is created: - -- **Terminal**: Shows coverage percentage by file -- **HTML Report**: `htmlcov/index.html` (detailed view) - -## ๐Ÿ” Debugging and Diagnostics - -### Logging -```bash -# Enable debug mode for MCP -export GARMY_MCP_DEBUG=true - -# View server logs -garmy-mcp serve --debug -``` - -### Environment Variables -```bash -# Credentials for testing -export GARMIN_EMAIL="your-email@example.com" -export GARMIN_PASSWORD="your-password" - -# MCP configuration -export GARMY_MCP_DEBUG=true -export GARMY_MCP_CACHE_ENABLED=true -export GARMY_MCP_CACHE_SIZE=100 -``` - -## โšก Quick Commands - -| Purpose | Command | -|---------|---------| -| First run | `make install-dev` | -| Quick check | `make quick-check` | -| Before commit | `make ci` | -| Fix formatting | `make format` | -| Single module tests | `make test-mcp` | -| Clean all | `make clean` | - -## ๐Ÿ—๏ธ Project Architecture - -``` -garmy/ -โ”œโ”€โ”€ src/garmy/ # Main code -โ”‚ โ”œโ”€โ”€ auth/ # Authentication -โ”‚ โ”œโ”€โ”€ core/ # Library core -โ”‚ โ”œโ”€โ”€ mcp/ # MCP server -โ”‚ โ””โ”€โ”€ metrics/ # Health metrics -โ”œโ”€โ”€ tests/ # Tests -โ”œโ”€โ”€ examples/ # Usage examples -โ””โ”€โ”€ Makefile # Development commands -``` - -## ๐Ÿ› Troubleshooting - -### Dependency Issues -```bash -# Reinstall dependencies -pip uninstall garmy -make install-dev -``` - -### Type Checking Issues -```bash -# Install types -pip install types-requests - -# Check types -make lint-mypy -``` - -### Formatting Issues -```bash -# Force formatting -make format -make check -``` - -## ๐Ÿ“ Contributing - -1. Create branch: `git checkout -b feature/new-feature` -2. Develop changes -3. Run: `make ci` -4. Create pull request - -## ๐Ÿ”— Useful Links - -- [README.md](README.md) - Main documentation -- [CHANGELOG.md](CHANGELOG.md) - Change history -- [examples/](examples/) - Usage examples - ---- - -๐Ÿ’ก **Tip**: Use `make help` to view all available commands with descriptions. \ No newline at end of file diff --git a/Makefile b/Makefile index cd1fc8f..9f120e7 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: help lint format check test test-mcp test-core test-auth test-metrics clean install-dev build ci +.PHONY: help lint format check test test-core test-auth test-metrics clean install-dev build ci # Default target help: @@ -22,7 +22,7 @@ help: @echo " test-core - Run core module tests" @echo " test-auth - Run authentication tests" @echo " test-metrics - Run metrics tests" - @echo " test-mcp - Run MCP server tests" + @echo "" @echo "" @echo "๐Ÿš€ CI/CD:" @echo " ci - Run full CI pipeline (format, lint, test)" @@ -106,11 +106,6 @@ test-metrics: pytest tests/test_metrics_*.py -v @echo "โœ… Metrics tests complete!" -# Run MCP server tests -test-mcp: - @echo "๐Ÿงช Running MCP server tests..." - pytest tests/test_mcp_*.py -v - @echo "โœ… MCP tests complete!" # Clean build artifacts clean: diff --git a/README.md b/README.md index c661d9a..9e23897 100644 --- a/README.md +++ b/README.md @@ -5,14 +5,13 @@ [![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![Tests](https://github.com/bes-dev/garmy/workflows/Tests/badge.svg)](https://github.com/bes-dev/garmy/actions) -An AI-powered Python library for Garmin Connect API designed specifically for health data analysis and AI agent integration via Model Context Protocol (MCP). Build intelligent health assistants and data analysis tools with seamless access to Garmin's comprehensive fitness metrics. +An AI-powered Python library for Garmin Connect API designed specifically for health data analysis and AI agent integration. Build intelligent health assistants and data analysis tools with seamless access to Garmin's comprehensive fitness metrics. **Inspired by [garth](https://github.com/matin/garth)** - This project was heavily inspired by the excellent garth library, building upon its foundation with enhanced modularity, type safety, and AI integration capabilities. ## ๐ŸŽฏ Key Features - **๐Ÿค– AI-First Design**: Built specifically for AI health agents and intelligent assistants -- **๐Ÿ”Œ MCP Integration**: Native Model Context Protocol support for seamless AI interactions - **๐Ÿฅ Health Analytics**: Advanced data analysis capabilities for fitness and wellness insights - **๐Ÿ“Š Rich Metrics**: Complete access to sleep, heart rate, stress, training readiness, and more - **๐Ÿ—ฃ๏ธ Natural Language**: Query health data using conversational commands @@ -27,16 +26,12 @@ An AI-powered Python library for Garmin Connect API designed specifically for he pip install garmy ``` -### With MCP Support (Recommended for AI Agents) -```bash -pip install garmy[mcp] -``` ### Development Installation ```bash git clone https://github.com/bes-dev/garmy.git cd garmy -pip install -e ".[dev,mcp]" +pip install -e ".[dev]" ``` ## ๐Ÿš€ Quick Start @@ -139,215 +134,6 @@ Garmy provides access to a comprehensive set of Garmin Connect metrics: | `activities` | Activity summaries and details | `api_client.metrics.get('activities').list(days=30)` | | `daily_summary` | Comprehensive daily health summary | `api_client.metrics.get('daily_summary').get()` | -## ๐Ÿค– AI Health Agent Integration (MCP) - -Garmy is specifically designed for building **AI health agents** and intelligent assistants through native **Model Context Protocol (MCP)** integration. Transform your Garmin health data into actionable insights using natural language interactions. - -### What Makes Garmy AI-First? - -Garmy isn't just an API wrapper โ€“ it's a complete AI health agent platform that enables: - -- **๐Ÿง  Intelligent Health Analysis**: AI-powered insights into sleep patterns, training readiness, and recovery -- **๐Ÿ—ฃ๏ธ Natural Language Queries**: Ask questions like "How was my sleep quality this week?" or "Am I ready for training today?" -- **๐Ÿ“Š Predictive Analytics**: Build AI models that predict optimal training times, recovery needs, and health trends -- **๐Ÿ”„ Real-time Monitoring**: Create AI agents that continuously monitor health metrics and provide recommendations -- **๐ŸŽจ Custom Health Dashboards**: Generate AI-driven visualizations and reports tailored to individual health goals -- **๐Ÿ“ฑ Multi-modal Integration**: Combine Garmin data with other health sources for comprehensive AI analysis - -### MCP Installation - -```bash -# Install Garmy with MCP support -pip install garmy[mcp] - -# Verify installation -garmy-mcp --help -``` - -### MCP Server Setup - -#### Option 1: Command Line Interface - -```bash -# Start MCP server for Claude Desktop (STDIO transport) -garmy-mcp serve --transport stdio - -# Start HTTP server for web clients -garmy-mcp serve --transport http --port 8080 - -# Show server information -garmy-mcp info - -# List available metrics -garmy-mcp metrics - -# Test server configuration -garmy-mcp test -``` - -#### Option 2: Programmatic Usage - -```python -from garmy.mcp import GarmyMCPServer, MCPConfig - -# Create and configure server -config = MCPConfig.for_production() -server = GarmyMCPServer(config) - -# Run server -server.run(transport="stdio") # For Claude Desktop -server.run(transport="http", port=8080) # For HTTP clients -``` - -### Claude Desktop Configuration - -#### Secure Setup (Recommended) - -Add this to your Claude Desktop MCP configuration file: - -```json -{ - "mcpServers": { - "garmy": { - "command": "/path/to/your/venv/bin/python", - "args": ["-m", "garmy.mcp", "serve", "--transport", "stdio"], - "env": { - "GARMIN_EMAIL": "your_email@example.com", - "GARMIN_PASSWORD": "your_password", - "GARMY_MCP_DEBUG": "false", - "GARMY_MCP_CACHE_ENABLED": "true" - } - } - } -} -``` - -#### Configuration File Locations - -- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` -- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` -- **Linux**: `~/.config/Claude/claude_desktop_config.json` - -### Authentication Options - -Garmy MCP supports multiple authentication methods: - -#### 1. Environment Variables (Most Secure) -```bash -export GARMIN_EMAIL="your_email@example.com" -export GARMIN_PASSWORD="your_password" -``` -- โœ… Credentials never pass through AI servers -- โœ… Most secure method -- โœ… Use with: *"Auto-login to Garmin Connect"* - -#### 2. Manual Input (Less Secure) -- โš ๏ธ Credentials may be visible to AI servers -- โš ๏ธ Use only when necessary -- โš ๏ธ Use with: *"Log into Garmin Connect with email [email] and password [password]"* - -### AI Health Agent Commands - -Once configured, your AI health agent can interact with Garmin data using natural language. Here are examples of what your AI assistant can do: - -#### Intelligent Health Monitoring -- *"Analyze my recovery patterns and tell me if I should train today"* -- *"What's my sleep efficiency trend over the past month?"* -- *"Create a personalized training plan based on my readiness scores"* -- *"Identify correlations between my stress and sleep quality"* -- *"Generate a health report with actionable insights"* - -#### Predictive Health Analytics -- *"Predict my optimal training windows for next week"* -- *"What factors are affecting my sleep quality most?"* -- *"Alert me when my recovery metrics indicate overtraining"* -- *"Build a model to predict my daily energy levels"* - -#### Conversational Health Queries -- *"How am I progressing towards my fitness goals?"* -- *"What's unusual about my health data this week?"* -- *"Compare my current training load to last month"* -- *"Should I adjust my sleep schedule based on my data?"* - -#### Smart Data Export & Visualization -- *"Create an interactive dashboard of my health metrics"* -- *"Export my data in a format suitable for machine learning"* -- *"Generate a health summary for my doctor"* -- *"Build charts showing my progress over time"* - -### MCP Configuration Options - -#### Environment Variables - -| Variable | Description | Default | -|----------|-------------|---------| -| `GARMIN_EMAIL` | Garmin Connect email | None | -| `GARMIN_PASSWORD` | Garmin Connect password | None | -| `GARMY_MCP_DEBUG` | Enable debug logging | `false` | -| `GARMY_MCP_CACHE_ENABLED` | Enable data caching | `false` | -| `GARMY_MCP_CACHE_SIZE` | Cache size limit | `100` | -| `GARMY_MCP_MAX_HISTORY_DAYS` | Max historical data | `365` | -| `GARMY_MCP_DEFAULT_ANALYSIS_PERIOD` | Default analysis period | `30` | - -#### Configuration Presets - -```python -from garmy.mcp.config import MCPConfig - -# Development setup -config = MCPConfig.for_development() - -# Production setup -config = MCPConfig.for_production() - -# Minimal setup -config = MCPConfig.minimal() -``` - -### Troubleshooting MCP - -#### Common Issues - -1. **"Server not responding"** - ```bash - # Check if server is running - garmy-mcp test - - # Restart with debug mode - GARMY_MCP_DEBUG=true garmy-mcp serve --transport stdio - ``` - -2. **"Authentication failed"** - ```bash - # Verify credentials - echo $GARMIN_EMAIL - echo $GARMIN_PASSWORD - - # Test authentication - garmy-mcp test --auth - ``` - -3. **"No data available"** - ```bash - # Check available metrics - garmy-mcp metrics - - # Verify date range - garmy-mcp test --date 2023-12-01 - ``` - -#### Debug Mode - -Enable debug logging for troubleshooting: - -```bash -# Enable debug mode -export GARMY_MCP_DEBUG=true - -# Run server with debug output -garmy-mcp serve --transport stdio --debug -``` - ## ๐Ÿ“Š AI Health Data Analysis ### Building AI Health Models @@ -477,8 +263,6 @@ python examples/training_readiness_demo.py # Comprehensive metrics sync python examples/metrics_sync_demo.py -# MCP server demo -python examples/mcp_integration_demo.py ``` ### Adding Custom Metrics @@ -538,7 +322,6 @@ make test make test-core # Core functionality make test-auth # Authentication make test-metrics # Metrics -make test-mcp # MCP server # Check code quality make lint @@ -613,7 +396,7 @@ set_config(config) ### AI Agent Security Best Practices 1. **Environment Variables**: Essential for AI agents - store credentials securely outside code -2. **MCP Security**: Use environment variables in MCP configuration to prevent credential exposure to AI servers +2. **Data Security**: Use environment variables to prevent credential exposure to external services 3. **OAuth Token Management**: Garmy handles OAuth tokens securely with automatic refresh for long-running AI agents 4. **HTTPS Only**: All communications use HTTPS with certificate verification 5. **AI Data Privacy**: Health data never leaves your local environment unless explicitly exported @@ -644,12 +427,10 @@ auth_client.login(email, password) - **`AuthClient`**: Handles authentication and session management - **`APIClient`**: Main interface for accessing Garmin Connect data - **`MetricAccessor`**: Provides access to specific metrics -- **`GarmyMCPServer`**: MCP server for AI assistant integration ### Configuration Classes - **`GarmyConfig`**: Main configuration class -- **`MCPConfig`**: MCP server configuration - **`ConfigManager`**: Configuration management utilities ### Metrics Classes @@ -692,7 +473,6 @@ Garmy was heavily inspired by the excellent [garth](https://github.com/matin/gar - Enhanced modularity and extensibility - Full type safety with mypy compliance -- Model Context Protocol (MCP) integration for AI assistants - Comprehensive async/await support - Auto-discovery system for metrics - Modern Python architecture and testing practices @@ -716,4 +496,4 @@ This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENS --- -*Garmy makes Garmin Connect data accessible with modern Python practices, type safety, and AI assistant integration via MCP.* \ No newline at end of file +*Garmy makes Garmin Connect data accessible with modern Python practices, type safety, and AI assistant integration.* \ No newline at end of file diff --git a/examples/README.md b/examples/README.md index f7ca2a7..2b9e0fb 100644 --- a/examples/README.md +++ b/examples/README.md @@ -53,6 +53,11 @@ This directory contains practical examples demonstrating how to use Garmy for ac python examples/sleep_phases_analysis.py ``` +8. **๐Ÿฅ Health Database System (NEW!)**: + ```bash + python examples/health_db_demo.py + ``` + ## ๐Ÿ“ Example Files ### ๐Ÿ” `basic_auth.py` @@ -208,6 +213,36 @@ python examples/sleep_phases_analysis.py - Daily metrics compilation - Health trend analysis +### ๐Ÿฅ `health_db_demo.py` โญ **NEW!** +**Purpose**: Complete health database system demonstration + +**Features**: +- **Database synchronization** with normalized schema +- **Progress tracking** with multiple display options (Rich, TQDM, logging) +- **Health analytics** with sleep, activity, and wellness insights +- **Data export** capabilities (JSON, CSV) +- **Advanced SQL queries** for health correlations +- **Real-time progress** updates during sync + +**Usage**: +```bash +# Set your credentials +export GARMIN_EMAIL="your_email@example.com" +export GARMIN_PASSWORD="your_password" + +# Run the comprehensive demo +python examples/health_db_demo.py +``` + +**What it demonstrates**: +- ๐Ÿ“Š Different progress reporting styles +- ๐Ÿ’พ Normalized database storage for efficient queries +- ๐Ÿ“ˆ Health trends and correlations analysis +- ๐Ÿƒโ€โ™‚๏ธ Activity patterns and performance metrics +- ๐Ÿ˜ด Sleep quality analysis with phase breakdowns +- ๐Ÿ“ค Data export for external analysis +- ๐Ÿ” Advanced SQL queries for health insights + ## ๐Ÿ›  Usage Patterns ### Basic Authentication diff --git a/examples/health_db_demo.py b/examples/health_db_demo.py new file mode 100644 index 0000000..5871923 --- /dev/null +++ b/examples/health_db_demo.py @@ -0,0 +1,444 @@ +#!/usr/bin/env python3 +""" +Comprehensive demo of the Garmin Health Database system. + +This script demonstrates: +- Database synchronization with progress tracking +- Normalized health metrics storage +- Activity tracking and analytics +- Different progress reporting styles +- Data export capabilities +- Advanced SQL queries for health analysis + +Usage: + export GARMIN_EMAIL="your_email@example.com" + export GARMIN_PASSWORD="your_password" + python examples/health_db_demo.py +""" + +import asyncio +import json +import os +import sys +from datetime import date, timedelta +from pathlib import Path + +# Add project root to path +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from src.garmy.localdb.sync import SyncManager +from src.garmy.localdb.config import LocalDBConfig +from src.garmy.localdb.progress import create_reporter, MultiReporter + + +class HealthDBDemo: + """Comprehensive demo of the health database system.""" + + def __init__(self): + self.db_path = Path("health_demo.db") + self.user_id = 1 + self.sync_manager = None + + async def run_complete_demo(self): + """Run the complete demonstration.""" + print("๐Ÿฅ Garmin Health Database System Demo") + print("=" * 50) + + # Get credentials + email = os.getenv('GARMIN_EMAIL') + password = os.getenv('GARMIN_PASSWORD') + + if not email or not password: + print("โŒ Please set GARMIN_EMAIL and GARMIN_PASSWORD environment variables") + return + + try: + await self._demo_progress_types() + await self._demo_sync_and_analytics() + await self._demo_data_export() + await self._demo_advanced_queries() + self._cleanup() + + except Exception as e: + print(f"โŒ Demo failed: {e}") + import traceback + traceback.print_exc() + + async def _demo_progress_types(self): + """Demo different progress reporting styles.""" + print("\n๐Ÿ“Š Progress Reporting Demo") + print("-" * 30) + + email = os.getenv('GARMIN_EMAIL') + password = os.getenv('GARMIN_PASSWORD') + + # Demo period (small for quick demo) + end_date = date.today() + start_date = end_date - timedelta(days=2) + + # 1. Rich progress (if available) + try: + print("๐ŸŽจ Rich Progress (beautiful terminal UI):") + rich_reporter = create_reporter("rich", name="Health Sync", show_stats_table=True) + + config = LocalDBConfig() + sync_manager = SyncManager( + db_path=Path("demo_rich.db"), + config=config, + progress_reporter=rich_reporter + ) + + await sync_manager.initialize(email, password) + await sync_manager.sync_range(self.user_id, start_date, end_date) + print("โœ… Rich demo completed\n") + + except ImportError: + print("โš ๏ธ Rich not available (install: pip install rich)\n") + + # 2. TQDM progress bar + try: + print("๐Ÿ“Š TQDM Progress Bar:") + tqdm_reporter = create_reporter("tqdm", name="Health Sync", show_details=True) + + config = LocalDBConfig() + sync_manager = SyncManager( + db_path=Path("demo_tqdm.db"), + config=config, + progress_reporter=tqdm_reporter + ) + + await sync_manager.initialize(email, password) + await sync_manager.sync_range(self.user_id, start_date, end_date) + print("โœ… TQDM demo completed\n") + + except ImportError: + print("โš ๏ธ TQDM not available (install: pip install tqdm)\n") + + # 3. Combined reporting + print("๐Ÿ”„ Combined Progress (Logging + JSON):") + multi_reporter = MultiReporter("Combined Sync") + multi_reporter.add_reporter(create_reporter("logging", name="Health Sync")) + multi_reporter.add_reporter(create_reporter("json", output_file="sync_report.json", real_time=False)) + + config = LocalDBConfig() + sync_manager = SyncManager( + db_path=Path("demo_combined.db"), + config=config, + progress_reporter=multi_reporter + ) + + await sync_manager.initialize(email, password) + await sync_manager.sync_range(self.user_id, start_date, end_date) + print("โœ… Combined demo completed (see sync_report.json)\n") + + async def _demo_sync_and_analytics(self): + """Demo main synchronization and analytics.""" + print("\n๐Ÿ’š Health Data Synchronization & Analytics") + print("-" * 45) + + # Clean start + if self.db_path.exists(): + self.db_path.unlink() + + # Setup with automatic progress selection + config = LocalDBConfig() + + try: + progress_reporter = create_reporter("rich", name="Health Analytics") + print("๐ŸŽจ Using Rich progress display") + except ImportError: + try: + progress_reporter = create_reporter("tqdm", name="Health Analytics") + print("๐Ÿ“Š Using TQDM progress display") + except ImportError: + progress_reporter = create_reporter("logging", name="Health Analytics") + print("๐Ÿ“ Using logging progress display") + + self.sync_manager = SyncManager( + db_path=self.db_path, + config=config, + progress_reporter=progress_reporter + ) + + # Initialize + email = os.getenv('GARMIN_EMAIL') + password = os.getenv('GARMIN_PASSWORD') + await self.sync_manager.initialize(email, password) + + # Sync recent data + end_date = date.today() + start_date = end_date - timedelta(days=7) + + print(f"\n๐Ÿ“… Syncing health data: {start_date} to {end_date}") + stats = await self.sync_manager.sync_range(self.user_id, start_date, end_date) + + print(f"\n๐Ÿ“Š Sync Results:") + print(f" โœ… Success: {stats['completed']}") + print(f" โญ๏ธ Skipped: {stats['skipped']}") + print(f" โŒ Failed: {stats['failed']}") + print(f" ๐Ÿ“ˆ Total: {stats['total_tasks']}") + + # Database statistics + db_stats = self.sync_manager.get_stats() + print(f"\n๐Ÿ—๏ธ Database Statistics:") + print(f" ๐Ÿ“‹ Health metrics: {db_stats.get('health_metrics_count', 0)}") + print(f" ๐Ÿƒโ€โ™‚๏ธ Activities: {db_stats.get('activities_count', 0)}") + print(f" ๐Ÿ“Š Timeseries points: {db_stats.get('timeseries_count', 0)}") + print(f" ๐Ÿ‘ฅ Users: {db_stats.get('users', 0)}") + + # Show data coverage + coverage = db_stats.get('coverage', {}) + if coverage: + print(f"\n๐Ÿ“… Data Coverage:") + print(f" ๐Ÿ‘Ÿ Days with steps: {coverage.get('days_with_steps', 0)}") + print(f" ๐Ÿ˜ด Days with sleep: {coverage.get('days_with_sleep', 0)}") + print(f" โค๏ธ Days with heart rate: {coverage.get('days_with_hr', 0)}") + print(f" ๐Ÿ’ช Days with readiness: {coverage.get('days_with_readiness', 0)}") + + # Analytics demos + await self._show_health_analytics(start_date, end_date) + await self._show_activity_analytics(start_date, end_date) + await self._show_sleep_analytics(start_date, end_date) + + async def _show_health_analytics(self, start_date: date, end_date: date): + """Show health analytics.""" + print(f"\n๐Ÿ’š Health Trends Analysis") + + trends = self.sync_manager.get_health_trends(self.user_id, start_date, end_date) + if trends: + print(f" ๐Ÿ“Š Average daily steps: {trends.get('avg_daily_steps', 0):,.0f}") + print(f" โค๏ธ Average resting HR: {trends.get('avg_resting_hr', 0):.0f} bpm") + print(f" ๐Ÿ˜ฐ Average stress level: {trends.get('avg_stress', 0):.0f}") + print(f" ๐Ÿ”‹ Average Body Battery: {trends.get('avg_body_battery_high', 0):.0f}") + print(f" ๐Ÿ’ช Average training readiness: {trends.get('avg_training_readiness', 0):.0f}") + print(f" ๐ŸŽฏ Days >10k steps: {trends.get('days_over_10k_steps', 0)}") + print(f" ๐Ÿ˜ด Days >8h sleep: {trends.get('days_over_8h_sleep', 0)}") + + async def _show_activity_analytics(self, start_date: date, end_date: date): + """Show activity analytics.""" + print(f"\n๐Ÿƒโ€โ™‚๏ธ Activity Analysis") + + activity_summary = self.sync_manager.get_activity_summary(self.user_id, start_date, end_date) + if activity_summary.get('total_activities', 0) > 0: + total_hours = activity_summary.get('total_duration_seconds', 0) / 3600 + avg_minutes = activity_summary.get('avg_duration_seconds', 0) / 60 + + print(f" ๐Ÿ“ˆ Total activities: {activity_summary['total_activities']}") + print(f" ๐ŸŽฏ Activity types: {activity_summary.get('unique_activity_types', 0)}") + print(f" โฑ๏ธ Total time: {total_hours:.1f} hours") + print(f" ๐Ÿ“Š Average duration: {avg_minutes:.0f} minutes") + print(f" โค๏ธ Average heart rate: {activity_summary.get('avg_heart_rate_across_activities', 0):.0f} bpm") + print(f" ๐Ÿ† Most common: {activity_summary.get('most_common_activity', 'N/A')}") + else: + print(" ๐Ÿ“Š No activities found in this period") + + async def _show_sleep_analytics(self, start_date: date, end_date: date): + """Show sleep analytics.""" + print(f"\n๐Ÿ˜ด Sleep Analysis") + + sleep_analysis = self.sync_manager.get_sleep_analysis(self.user_id, start_date, end_date) + if sleep_analysis.get('total_nights', 0) > 0: + print(f" ๐ŸŒ™ Total nights: {sleep_analysis['total_nights']}") + print(f" โฐ Average duration: {sleep_analysis.get('avg_sleep_duration', 0):.1f} hours") + print(f" ๐Ÿ›Œ Deep sleep: {sleep_analysis.get('avg_deep_sleep_pct', 0):.1f}%") + print(f" ๐ŸŒ™ REM sleep: {sleep_analysis.get('avg_rem_sleep_pct', 0):.1f}%") + print(f" ๐Ÿซ Average SpO2: {sleep_analysis.get('avg_spo2', 0):.1f}%") + print(f" ๐Ÿ“Š Range: {sleep_analysis.get('min_sleep', 0):.1f}h - {sleep_analysis.get('max_sleep', 0):.1f}h") + else: + print(" ๐Ÿ“Š No sleep data found in this period") + + async def _demo_data_export(self): + """Demo data export capabilities.""" + print(f"\n๐Ÿ“ค Data Export Demo") + print("-" * 20) + + if not self.sync_manager: + print("โš ๏ธ No sync manager available for export demo") + return + + end_date = date.today() + start_date = end_date - timedelta(days=7) + + # Export health metrics + health_data = self.sync_manager.query_health_metrics(self.user_id, start_date, end_date) + if health_data: + # Save to JSON + export_file = "health_export.json" + with open(export_file, 'w') as f: + json.dump(health_data, f, indent=2, default=str) + print(f"โœ… Health metrics exported to {export_file} ({len(health_data)} records)") + + # Export activities + activities = self.sync_manager.query_activities(self.user_id, start_date, end_date) + if activities: + activities_file = "activities_export.json" + with open(activities_file, 'w') as f: + json.dump(activities, f, indent=2, default=str) + print(f"โœ… Activities exported to {activities_file} ({len(activities)} records)") + + # Export timeseries (last day only) + if health_data: + from src.garmy.localdb.models import MetricType + from datetime import datetime + + last_date = datetime.strptime(health_data[-1]['metric_date'], '%Y-%m-%d').date() + start_time = datetime.combine(last_date, datetime.min.time()) + end_time = start_time + timedelta(days=1) + + hr_data = self.sync_manager.query_timeseries(self.user_id, MetricType.HEART_RATE, start_time, end_time) + if hr_data: + hr_file = "heart_rate_timeseries.json" + with open(hr_file, 'w') as f: + json.dump(hr_data, f, indent=2, default=str) + print(f"โœ… Heart rate timeseries exported to {hr_file} ({len(hr_data)} points)") + + async def _demo_advanced_queries(self): + """Demo advanced SQL queries.""" + print(f"\n๐Ÿ” Advanced Health Analytics") + print("-" * 35) + + if not self.sync_manager: + print("โš ๏ธ No sync manager available for queries demo") + return + + # Direct SQL queries for advanced analytics + with self.sync_manager.db.connection() as conn: + + # 1. Sleep quality vs training readiness correlation + print("๐Ÿ“Š Sleep Quality vs Training Readiness:") + correlation = conn.execute(""" + SELECT + CASE + WHEN sleep_duration_hours >= 8 THEN 'Good Sleep (8+ hrs)' + WHEN sleep_duration_hours >= 6 THEN 'Fair Sleep (6-8 hrs)' + ELSE 'Poor Sleep (<6 hrs)' + END as sleep_quality, + AVG(training_readiness_score) as avg_readiness, + COUNT(*) as days + FROM daily_health_metrics + WHERE user_id = ? AND sleep_duration_hours IS NOT NULL + AND training_readiness_score IS NOT NULL + GROUP BY 1 + ORDER BY avg_readiness DESC + """, (self.user_id,)).fetchall() + + for row in correlation: + print(f" {row[0]}: Readiness {row[1]:.0f}, {row[2]} days") + + # 2. Activity patterns by day of week + print(f"\n๐Ÿ“… Activity Patterns by Day of Week:") + weekly_pattern = conn.execute(""" + SELECT + CASE strftime('%w', activity_date) + WHEN '0' THEN 'Sunday' + WHEN '1' THEN 'Monday' + WHEN '2' THEN 'Tuesday' + WHEN '3' THEN 'Wednesday' + WHEN '4' THEN 'Thursday' + WHEN '5' THEN 'Friday' + WHEN '6' THEN 'Saturday' + END as day_of_week, + COUNT(*) as activities, + AVG(duration_seconds/60) as avg_duration_min + FROM activities + WHERE user_id = ? + GROUP BY strftime('%w', activity_date) + ORDER BY strftime('%w', activity_date) + """, (self.user_id,)).fetchall() + + for row in weekly_pattern: + print(f" {row[0]}: {row[1]} activities, {row[2]:.0f} min avg") + + # 3. Most active days + print(f"\n๐Ÿ† Most Active Days:") + active_days = conn.execute(""" + SELECT + metric_date, + total_steps, + (SELECT COUNT(*) FROM activities a + WHERE a.user_id = dhm.user_id AND a.activity_date = dhm.metric_date) as activities_count + FROM daily_health_metrics dhm + WHERE user_id = ? AND total_steps IS NOT NULL + ORDER BY total_steps DESC + LIMIT 5 + """, (self.user_id,)).fetchall() + + for row in active_days: + print(f" ๐Ÿ“… {row[0]}: {row[1]:,} steps, {row[2]} activities") + + # 4. Recovery analysis + print(f"\n๐Ÿ”‹ Recovery Analysis (Body Battery vs Stress):") + recovery = conn.execute(""" + SELECT + metric_date, + body_battery_high, + body_battery_low, + (body_battery_high - body_battery_low) as battery_recovery, + avg_stress_level + FROM daily_health_metrics + WHERE user_id = ? + AND body_battery_high IS NOT NULL + AND avg_stress_level IS NOT NULL + ORDER BY battery_recovery DESC + LIMIT 5 + """, (self.user_id,)).fetchall() + + for row in recovery: + print(f" ๐Ÿ“… {row[0]}: ๐Ÿ”‹ Recovery {row[3]}, ๐Ÿ˜ฐ Stress {row[4]}") + + def _cleanup(self): + """Clean up demo files.""" + print(f"\n๐Ÿงน Cleanup") + print("-" * 10) + + # Show file sizes + demo_files = [ + "health_demo.db", "demo_rich.db", "demo_tqdm.db", "demo_combined.db", + "health_export.json", "activities_export.json", "heart_rate_timeseries.json", + "sync_report.json" + ] + + print("๐Ÿ“ Generated files:") + total_size = 0 + for file_path in demo_files: + path = Path(file_path) + if path.exists(): + size_kb = path.stat().st_size / 1024 + total_size += size_kb + print(f" ๐Ÿ“„ {file_path}: {size_kb:.1f} KB") + + print(f" ๐Ÿ“Š Total size: {total_size:.1f} KB") + + # Option to clean up + response = input("\n๐Ÿ—‘๏ธ Delete demo files? (y/N): ").lower().strip() + if response == 'y': + for file_path in demo_files: + path = Path(file_path) + if path.exists(): + path.unlink() + print(f" โœ… Deleted {file_path}") + else: + print(" ๐Ÿ“‚ Demo files kept for inspection") + + +async def main(): + """Main demo function.""" + demo = HealthDBDemo() + await demo.run_complete_demo() + + print(f"\n๐ŸŽ‰ Demo completed!") + print(f"\n๐Ÿ’ก Next steps:") + print(f" โ€ข Explore the generated files") + print(f" โ€ข Check out other examples in the examples/ directory") + print(f" โ€ข Read PROGRESS_SYSTEM.md for progress customization") + print(f" โ€ข Integrate the health DB into your own projects") + + +if __name__ == "__main__": + print("๐Ÿฅ Garmin Health Database Demo") + print("๐Ÿ” Make sure GARMIN_EMAIL and GARMIN_PASSWORD are set") + print("๐Ÿ“ฆ Optional dependencies for better progress display:") + print(" pip install rich tqdm") + print() + + asyncio.run(main()) \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 857de34..b762031 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta" [project] name = "garmy" version = "1.0.0" -description = "AI-powered Garmin Connect API library with MCP integration for health agents and data analysis" +description = "AI-powered Garmin Connect API library for health agents and data analysis" readme = "README.md" license = {text = "Apache-2.0"} authors = [ @@ -26,7 +26,6 @@ keywords = [ "lightweight", "modular", "garth", - "mcp", "ai-integration", "type-safe" ] @@ -55,10 +54,6 @@ dependencies = [ ] [project.optional-dependencies] -mcp = [ - "fastmcp>=1.0.0", - "click>=8.0.0" -] dev = [ "pytest>=7.0.0", "pytest-cov>=4.0.0", @@ -94,8 +89,6 @@ Repository = "https://github.com/bes-dev/garmy.git" "Bug Tracker" = "https://github.com/bes-dev/garmy/issues" Changelog = "https://github.com/bes-dev/garmy/blob/master/CHANGELOG.md" -[project.scripts] -garmy-mcp = "garmy.mcp.cli:main" [tool.setuptools] package-dir = {"" = "src"} @@ -144,19 +137,11 @@ warn_unused_ignores = true warn_no_return = true warn_unreachable = true strict_equality = true -exclude = ["src/garmy/mcp/"] [[tool.mypy.overrides]] module = "requests_oauthlib.*" ignore_missing_imports = true -[[tool.mypy.overrides]] -module = "fastmcp.*" -ignore_missing_imports = true - -[[tool.mypy.overrides]] -module = "anyio.*" -ignore_missing_imports = true [tool.pytest.ini_options] testpaths = ["tests"] @@ -171,26 +156,17 @@ addopts = [ "--cov-report=term-missing", "--cov-report=html", "--cov-report=xml", - "--ignore=tests/test_mcp_analysis.py", - "--ignore=tests/test_mcp_auth.py", - "--ignore=tests/test_mcp_config.py", - "--ignore=tests/test_mcp_metrics.py", - "--ignore=tests/test_mcp_prompts.py", - "--ignore=tests/test_mcp_resources.py", - "--ignore=tests/test_mcp_server.py" ] markers = [ "integration: marks tests as integration tests (deselect with '-m \"not integration\"')", "slow: marks tests as slow (deselect with '-m \"not slow\"')", - "mcp: marks tests as MCP tests requiring fastmcp dependencies (deselect with '-m \"not mcp\"')" ] [tool.coverage.run] source = ["src/garmy"] omit = [ "*/tests/*", - "*/test_*", - "src/garmy/mcp/*" + "*/test_*" ] [tool.coverage.report] @@ -251,7 +227,6 @@ ignore = [ "tests/*" = ["T201", "PLR2004", "SIM117", "F841"] # Allow print statements, magic values, nested with, unused vars in tests "examples/*" = ["T201", "C901", "PLR0912"] # Allow print statements and complexity in examples "src/garmy/core/discovery.py" = ["T201"] # Allow prints in discovery module -"src/garmy/mcp/*" = ["T201"] # Allow print statements in MCP modules for debugging [tool.flake8] max-line-length = 100 diff --git a/src/garmy/localdb/__init__.py b/src/garmy/localdb/__init__.py new file mode 100644 index 0000000..22e00d5 --- /dev/null +++ b/src/garmy/localdb/__init__.py @@ -0,0 +1,8 @@ +"""Simple local database module for Garmin health metrics storage and synchronization.""" + +from .db import HealthDB +from .sync import SyncManager +from .models import MetricType +from .config import LocalDBConfig + +__all__ = ['HealthDB', 'SyncManager', 'MetricType', 'LocalDBConfig'] \ No newline at end of file diff --git a/src/garmy/localdb/config.py b/src/garmy/localdb/config.py new file mode 100644 index 0000000..2891db2 --- /dev/null +++ b/src/garmy/localdb/config.py @@ -0,0 +1,49 @@ +"""Configuration for localdb module.""" + +from dataclasses import dataclass, field +from typing import Optional +from pathlib import Path + + +@dataclass +class SyncConfig: + """Sync operation configuration.""" + + # Retry settings + max_retries: int = 3 + retry_exponential_base: int = 2 + + # Rate limiting + rate_limit_delay: float = 0.5 + + # Progress reporting + progress_reporter: str = "logging" # logging, tqdm, rich, json, silent + progress_show_details: bool = True + progress_log_interval: int = 50 # For logging reporter + + # Activities API (handled by iterator) + activities_batch_size: int = 50 + + # Timeseries validation + min_timeseries_fields: int = 2 + + +@dataclass +class DatabaseConfig: + """Database configuration.""" + + # Connection settings + timeout: float = 30.0 + enable_wal_mode: bool = True + + # Timestamp conversion + ms_per_second: int = 1000 + seconds_per_day: int = 24 * 60 * 60 + + +@dataclass +class LocalDBConfig: + """Complete localdb configuration.""" + + sync: SyncConfig = field(default_factory=SyncConfig) + database: DatabaseConfig = field(default_factory=DatabaseConfig) \ No newline at end of file diff --git a/src/garmy/localdb/db.py b/src/garmy/localdb/db.py new file mode 100644 index 0000000..a4b4d6d --- /dev/null +++ b/src/garmy/localdb/db.py @@ -0,0 +1,592 @@ +"""Simple SQLite database for health metrics storage.""" + +import json +import sqlite3 +from contextlib import contextmanager +from datetime import date +from pathlib import Path +from typing import List, Optional, Dict, Any, Tuple, TYPE_CHECKING + +from .models import MetricType + +if TYPE_CHECKING: + from .config import DatabaseConfig +else: + # Import for runtime use + DatabaseConfig = None + + +def _get_default_config() -> 'DatabaseConfig': + """Get default database configuration.""" + if DatabaseConfig is None: + from .config import DatabaseConfig as _DatabaseConfig + return _DatabaseConfig() + return DatabaseConfig() + + +class HealthMetric: + """Simple data class for health metrics.""" + def __init__(self, user_id: int, metric_date: date, data: Dict[str, Any]): + self.user_id = user_id + self.metric_date = metric_date + self.data = data + + +class HealthDB: + """Simple SQLite database for health metrics.""" + + def __init__(self, + db_path: Path = Path("health.db"), + config: Optional['DatabaseConfig'] = None): + """Initialize database. + + Args: + db_path: Path to SQLite database file (default: "health.db") + config: Database configuration (default: DatabaseConfig()) + """ + self.db_path = db_path + self.config = config if config is not None else _get_default_config() + self._init_schema() + + def _init_schema(self): + """Initialize database schema.""" + try: + with self.connection() as conn: + # Daily aggregated metrics + conn.execute(""" + CREATE TABLE IF NOT EXISTS daily_metrics ( + user_id INTEGER NOT NULL, + metric_date DATE NOT NULL, + data JSON NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (user_id, metric_date) + ) + """) + + # High-frequency timeseries data + conn.execute(""" + CREATE TABLE IF NOT EXISTS timeseries ( + user_id INTEGER NOT NULL, + metric_type TEXT NOT NULL, + timestamp INTEGER NOT NULL, + value REAL NOT NULL, + metadata JSON, + PRIMARY KEY (user_id, metric_type, timestamp) + ) + """) + + # Activities table for efficient querying + conn.execute(""" + CREATE TABLE IF NOT EXISTS activities ( + user_id INTEGER NOT NULL, + activity_id TEXT NOT NULL, + activity_date DATE NOT NULL, + activity_name TEXT, + duration_seconds INTEGER, + avg_heart_rate INTEGER, + training_load REAL, + start_time TEXT, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (user_id, activity_id) + ) + """) + + # Normalized daily health metrics for efficient querying + conn.execute(""" + CREATE TABLE IF NOT EXISTS daily_health_metrics ( + user_id INTEGER NOT NULL, + metric_date DATE NOT NULL, + + -- Steps & Distance + total_steps INTEGER, + step_goal INTEGER, + total_distance_meters REAL, + + -- Calories + total_calories INTEGER, + active_calories INTEGER, + bmr_calories INTEGER, + + -- Heart Rate (daily summary) + resting_heart_rate INTEGER, + max_heart_rate INTEGER, + min_heart_rate INTEGER, + average_heart_rate INTEGER, + + -- Stress + avg_stress_level INTEGER, + max_stress_level INTEGER, + + -- Body Battery + body_battery_high INTEGER, + body_battery_low INTEGER, + + -- Sleep Duration (hours) + sleep_duration_hours REAL, + deep_sleep_hours REAL, + light_sleep_hours REAL, + rem_sleep_hours REAL, + awake_hours REAL, + + -- Sleep Percentages + deep_sleep_percentage REAL, + light_sleep_percentage REAL, + rem_sleep_percentage REAL, + awake_percentage REAL, + + -- Sleep Quality + average_spo2 REAL, + average_respiration REAL, + + -- Training Readiness + training_readiness_score INTEGER, + training_readiness_level TEXT, + training_readiness_feedback TEXT, + + -- HRV + hrv_weekly_avg REAL, + hrv_last_night_avg REAL, + hrv_status TEXT, + + -- Respiration + avg_waking_respiration_value REAL, + avg_sleep_respiration_value REAL, + lowest_respiration_value REAL, + highest_respiration_value REAL, + + -- Metadata + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + + PRIMARY KEY (user_id, metric_date) + ) + """) + + # Indices for performance + conn.execute("CREATE INDEX IF NOT EXISTS idx_daily_user_date ON daily_metrics(user_id, metric_date)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_timeseries_user_type_time ON timeseries(user_id, metric_type, timestamp)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_activities_user_date ON activities(user_id, activity_date)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_activities_name ON activities(activity_name)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_activities_duration ON activities(duration_seconds)") + + # Indices for daily health metrics + conn.execute("CREATE INDEX IF NOT EXISTS idx_health_user_date ON daily_health_metrics(user_id, metric_date)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_health_steps ON daily_health_metrics(total_steps)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_health_sleep_duration ON daily_health_metrics(sleep_duration_hours)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_health_resting_hr ON daily_health_metrics(resting_heart_rate)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_health_stress ON daily_health_metrics(avg_stress_level)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_health_body_battery ON daily_health_metrics(body_battery_high)") + conn.execute("CREATE INDEX IF NOT EXISTS idx_health_training_readiness ON daily_health_metrics(training_readiness_score)") + + except sqlite3.Error as e: + raise RuntimeError(f"Failed to initialize database schema: {e}") + except Exception as e: + raise RuntimeError(f"Unexpected error during database initialization: {e}") + + @contextmanager + def connection(self): + """Database connection context manager.""" + conn = sqlite3.connect(str(self.db_path), timeout=self.config.timeout) + conn.row_factory = sqlite3.Row + + # Enable WAL mode for better concurrency if configured + if self.config.enable_wal_mode: + conn.execute("PRAGMA journal_mode=WAL") + + try: + yield conn + conn.commit() + except Exception: + conn.rollback() + raise + finally: + conn.close() + + def store_daily_metric(self, user_id: int, metric_date: date, data: Dict[str, Any]): + """Store or update daily metric data.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(metric_date, date): + raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") + if not isinstance(data, dict): + raise ValueError(f"data must be a dictionary, got {type(data)}") + + try: + with self.connection() as conn: + conn.execute(""" + INSERT OR REPLACE INTO daily_metrics (user_id, metric_date, data, updated_at) + VALUES (?, ?, ?, CURRENT_TIMESTAMP) + """, (user_id, metric_date.isoformat(), json.dumps(data))) + except sqlite3.Error as e: + raise RuntimeError(f"Failed to store daily metric: {e}") + except (TypeError, ValueError) as e: + raise ValueError(f"Invalid data format for JSON serialization: {e}") + + def store_timeseries_batch(self, user_id: int, metric_type: MetricType, data: List[Tuple]): + """Store batch of timeseries data.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(metric_type, MetricType): + raise ValueError(f"metric_type must be MetricType enum, got {type(metric_type)}") + if not isinstance(data, list): + raise ValueError(f"data must be a list of tuples, got {type(data)}") + + try: + with self.connection() as conn: + for i, item in enumerate(data): + if not isinstance(item, (tuple, list)) or len(item) < 2: + raise ValueError(f"Item {i} must be tuple/list with at least 2 elements: (timestamp, value[, metadata])") + + timestamp, value = item[0], item[1] + metadata = item[2] if len(item) > 2 else None + + if not isinstance(timestamp, (int, float)): + raise ValueError(f"Timestamp must be numeric, got {type(timestamp)} for item {i}") + if not isinstance(value, (int, float)): + raise ValueError(f"Value must be numeric, got {type(value)} for item {i}") + + metadata_json = json.dumps(metadata) if metadata else None + conn.execute(""" + INSERT OR REPLACE INTO timeseries (user_id, metric_type, timestamp, value, metadata) + VALUES (?, ?, ?, ?, ?) + """, (user_id, metric_type.value, timestamp, value, metadata_json)) + except sqlite3.Error as e: + raise RuntimeError(f"Failed to store timeseries batch: {e}") + except (TypeError, ValueError) as e: + raise ValueError(f"Invalid data format: {e}") + + def store_activity(self, user_id: int, activity_data: Dict[str, Any]): + """Store individual activity in activities table.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(activity_data, dict): + raise ValueError(f"activity_data must be a dictionary, got {type(activity_data)}") + + required_fields = ['activity_id', 'activity_date'] + for field in required_fields: + if field not in activity_data or activity_data[field] is None: + raise ValueError(f"Missing required field: {field}") + + try: + with self.connection() as conn: + conn.execute(""" + INSERT OR REPLACE INTO activities + (user_id, activity_id, activity_date, activity_name, duration_seconds, + avg_heart_rate, training_load, start_time) + VALUES (?, ?, ?, ?, ?, ?, ?, ?) + """, ( + user_id, + activity_data['activity_id'], + activity_data['activity_date'].isoformat() if hasattr(activity_data['activity_date'], 'isoformat') else activity_data['activity_date'], + activity_data.get('activity_name'), + activity_data.get('duration_seconds'), + activity_data.get('avg_heart_rate'), + activity_data.get('training_load'), + activity_data.get('start_time') + )) + except sqlite3.Error as e: + raise RuntimeError(f"Failed to store activity: {e}") + except (TypeError, ValueError) as e: + raise ValueError(f"Invalid activity data format: {e}") + + def store_health_metric(self, user_id: int, metric_date: date, **kwargs): + """Store or update daily health metrics in normalized table.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(metric_date, date): + raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") + + # Calculate sleep hours from percentages if sleep_duration_hours is provided + if 'sleep_duration_hours' in kwargs and kwargs['sleep_duration_hours']: + total_sleep = kwargs['sleep_duration_hours'] + if 'deep_sleep_percentage' in kwargs and kwargs['deep_sleep_percentage']: + kwargs['deep_sleep_hours'] = total_sleep * (kwargs['deep_sleep_percentage'] / 100) + if 'light_sleep_percentage' in kwargs and kwargs['light_sleep_percentage']: + kwargs['light_sleep_hours'] = total_sleep * (kwargs['light_sleep_percentage'] / 100) + if 'rem_sleep_percentage' in kwargs and kwargs['rem_sleep_percentage']: + kwargs['rem_sleep_hours'] = total_sleep * (kwargs['rem_sleep_percentage'] / 100) + if 'awake_percentage' in kwargs and kwargs['awake_percentage']: + kwargs['awake_hours'] = total_sleep * (kwargs['awake_percentage'] / 100) + + # Build dynamic INSERT OR REPLACE query + fields = ['user_id', 'metric_date'] + [k for k in kwargs.keys() if kwargs[k] is not None] + placeholders = ', '.join(['?' for _ in fields]) + field_names = ', '.join(fields) + values = [user_id, metric_date.isoformat()] + [kwargs[k] for k in kwargs.keys() if kwargs[k] is not None] + + try: + with self.connection() as conn: + # First, get existing record + existing = conn.execute( + "SELECT * FROM daily_health_metrics WHERE user_id = ? AND metric_date = ?", + (user_id, metric_date.isoformat()) + ).fetchone() + + if existing: + # Update existing record with new values + update_fields = [f"{k} = ?" for k in kwargs.keys() if kwargs[k] is not None] + if update_fields: + query = f"UPDATE daily_health_metrics SET {', '.join(update_fields)}, updated_at = CURRENT_TIMESTAMP WHERE user_id = ? AND metric_date = ?" + update_values = [kwargs[k] for k in kwargs.keys() if kwargs[k] is not None] + [user_id, metric_date.isoformat()] + conn.execute(query, update_values) + else: + # Insert new record + query = f"INSERT INTO daily_health_metrics ({field_names}) VALUES ({placeholders})" + conn.execute(query, values) + + except sqlite3.Error as e: + raise RuntimeError(f"Failed to store health metric: {e}") + except (TypeError, ValueError) as e: + raise ValueError(f"Invalid health metric data: {e}") + + def get_daily_metrics(self, user_id: int, start_date: date, end_date: date) -> List[HealthMetric]: + """Get daily metrics for date range.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(start_date, date): + raise ValueError(f"start_date must be a date object, got {type(start_date)}") + if not isinstance(end_date, date): + raise ValueError(f"end_date must be a date object, got {type(end_date)}") + if start_date > end_date: + raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") + + try: + with self.connection() as conn: + rows = conn.execute(""" + SELECT user_id, metric_date, data + FROM daily_metrics + WHERE user_id = ? AND metric_date BETWEEN ? AND ? + ORDER BY metric_date + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() + + return [HealthMetric( + user_id=row['user_id'], + metric_date=date.fromisoformat(row['metric_date']), + data=json.loads(row['data']) + ) for row in rows] + except sqlite3.Error as e: + raise RuntimeError(f"Failed to fetch daily metrics: {e}") + except (json.JSONDecodeError, ValueError) as e: + raise RuntimeError(f"Database contains invalid data: {e}") + + def get_timeseries(self, user_id: int, metric_type: MetricType, + start_time: int, end_time: int) -> List[Tuple[int, float, Dict]]: + """Get timeseries data for time range.""" + with self.connection() as conn: + rows = conn.execute(""" + SELECT timestamp, value, metadata + FROM timeseries + WHERE user_id = ? AND metric_type = ? AND timestamp BETWEEN ? AND ? + ORDER BY timestamp + """, (user_id, metric_type.value, start_time, end_time)).fetchall() + + return [(row['timestamp'], row['value'], + json.loads(row['metadata']) if row['metadata'] else {}) + for row in rows] + + def get_activities(self, user_id: int, start_date: date, end_date: date, + activity_name: Optional[str] = None) -> List[Dict[str, Any]]: + """Get activities for date range with optional filtering by activity name.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(start_date, date): + raise ValueError(f"start_date must be a date object, got {type(start_date)}") + if not isinstance(end_date, date): + raise ValueError(f"end_date must be a date object, got {type(end_date)}") + if start_date > end_date: + raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") + + try: + with self.connection() as conn: + if activity_name: + rows = conn.execute(""" + SELECT * FROM activities + WHERE user_id = ? AND activity_date BETWEEN ? AND ? AND activity_name = ? + ORDER BY activity_date, start_time + """, (user_id, start_date.isoformat(), end_date.isoformat(), activity_name)).fetchall() + else: + rows = conn.execute(""" + SELECT * FROM activities + WHERE user_id = ? AND activity_date BETWEEN ? AND ? + ORDER BY activity_date, start_time + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() + + return [dict(row) for row in rows] + except sqlite3.Error as e: + raise RuntimeError(f"Failed to fetch activities: {e}") + + def activity_exists(self, user_id: int, activity_id: str) -> bool: + """Check if activity already exists.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not activity_id: + raise ValueError("activity_id cannot be empty") + + try: + with self.connection() as conn: + result = conn.execute( + "SELECT 1 FROM activities WHERE user_id = ? AND activity_id = ?", + (user_id, activity_id) + ).fetchone() + return result is not None + except sqlite3.Error as e: + raise RuntimeError(f"Failed to check activity existence: {e}") + + def get_health_metrics(self, user_id: int, start_date: date, end_date: date) -> List[Dict[str, Any]]: + """Get normalized daily health metrics for date range.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(start_date, date): + raise ValueError(f"start_date must be a date object, got {type(start_date)}") + if not isinstance(end_date, date): + raise ValueError(f"end_date must be a date object, got {type(end_date)}") + if start_date > end_date: + raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") + + try: + with self.connection() as conn: + rows = conn.execute(""" + SELECT * FROM daily_health_metrics + WHERE user_id = ? AND metric_date BETWEEN ? AND ? + ORDER BY metric_date + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() + + return [dict(row) for row in rows] + except sqlite3.Error as e: + raise RuntimeError(f"Failed to fetch health metrics: {e}") + + def health_metric_exists(self, user_id: int, metric_date: date) -> bool: + """Check if health metrics exist for a specific date.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(metric_date, date): + raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") + + try: + with self.connection() as conn: + result = conn.execute( + "SELECT 1 FROM daily_health_metrics WHERE user_id = ? AND metric_date = ?", + (user_id, metric_date.isoformat()) + ).fetchone() + return result is not None + except sqlite3.Error as e: + raise RuntimeError(f"Failed to check health metric existence: {e}") + + def get_sleep_analysis(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: + """Get sleep analysis with aggregated statistics.""" + try: + with self.connection() as conn: + result = conn.execute(""" + SELECT + COUNT(*) as total_nights, + AVG(sleep_duration_hours) as avg_sleep_duration, + AVG(deep_sleep_percentage) as avg_deep_sleep_pct, + AVG(rem_sleep_percentage) as avg_rem_sleep_pct, + AVG(average_spo2) as avg_spo2, + MIN(sleep_duration_hours) as min_sleep, + MAX(sleep_duration_hours) as max_sleep + FROM daily_health_metrics + WHERE user_id = ? AND metric_date BETWEEN ? AND ? + AND sleep_duration_hours IS NOT NULL + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() + + return dict(result) if result else {} + except sqlite3.Error as e: + raise RuntimeError(f"Failed to get sleep analysis: {e}") + + def get_activity_summary(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: + """Get activity summary with aggregated statistics.""" + try: + with self.connection() as conn: + result = conn.execute(""" + SELECT + COUNT(*) as total_activities, + COUNT(DISTINCT activity_name) as unique_activity_types, + SUM(duration_seconds) as total_duration_seconds, + AVG(duration_seconds) as avg_duration_seconds, + AVG(avg_heart_rate) as avg_heart_rate_across_activities, + activity_name as most_common_activity + FROM activities + WHERE user_id = ? AND activity_date BETWEEN ? AND ? + GROUP BY activity_name + ORDER BY COUNT(*) DESC + LIMIT 1 + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() + + return dict(result) if result else {} + except sqlite3.Error as e: + raise RuntimeError(f"Failed to get activity summary: {e}") + + def get_health_trends(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: + """Get health trends and correlations.""" + try: + with self.connection() as conn: + result = conn.execute(""" + SELECT + AVG(total_steps) as avg_daily_steps, + AVG(resting_heart_rate) as avg_resting_hr, + AVG(avg_stress_level) as avg_stress, + AVG(body_battery_high) as avg_body_battery_high, + AVG(training_readiness_score) as avg_training_readiness, + COUNT(CASE WHEN total_steps > 10000 THEN 1 END) as days_over_10k_steps, + COUNT(CASE WHEN sleep_duration_hours > 8 THEN 1 END) as days_over_8h_sleep + FROM daily_health_metrics + WHERE user_id = ? AND metric_date BETWEEN ? AND ? + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() + + return dict(result) if result else {} + except sqlite3.Error as e: + raise RuntimeError(f"Failed to get health trends: {e}") + + def get_stats(self) -> Dict[str, Any]: + """Get database statistics.""" + with self.connection() as conn: + stats = {} + + # Count records + stats['daily_metrics_count'] = conn.execute("SELECT COUNT(*) FROM daily_metrics").fetchone()[0] + stats['timeseries_count'] = conn.execute("SELECT COUNT(*) FROM timeseries").fetchone()[0] + stats['activities_count'] = conn.execute("SELECT COUNT(*) FROM activities").fetchone()[0] + stats['health_metrics_count'] = conn.execute("SELECT COUNT(*) FROM daily_health_metrics").fetchone()[0] + + # Users + stats['users'] = conn.execute("SELECT COUNT(DISTINCT user_id) FROM daily_health_metrics").fetchone()[0] + + # Date range from new normalized table + date_range = conn.execute(""" + SELECT MIN(metric_date) as min_date, MAX(metric_date) as max_date + FROM daily_health_metrics + """).fetchone() + stats['date_range'] = dict(date_range) if date_range['min_date'] else {} + + # Health metrics coverage + coverage = conn.execute(""" + SELECT + COUNT(CASE WHEN total_steps IS NOT NULL THEN 1 END) as days_with_steps, + COUNT(CASE WHEN sleep_duration_hours IS NOT NULL THEN 1 END) as days_with_sleep, + COUNT(CASE WHEN resting_heart_rate IS NOT NULL THEN 1 END) as days_with_hr, + COUNT(CASE WHEN training_readiness_score IS NOT NULL THEN 1 END) as days_with_readiness + FROM daily_health_metrics + """).fetchone() + stats['coverage'] = dict(coverage) if coverage else {} + + return stats + + def has_data_for_date(self, user_id: int, metric_type: MetricType, sync_date: date) -> bool: + """Check if legacy data exists for specific date and metric (for backwards compatibility).""" + # Check daily data (legacy JSON storage) + daily_data = self.get_daily_metrics(user_id, sync_date, sync_date) + if daily_data and metric_type.value in daily_data[0].data: + return True + + # Check timeseries data for timeseries metrics + if metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, + MetricType.HEART_RATE, MetricType.RESPIRATION]: + start_ts = int(sync_date.strftime('%s')) * self.config.ms_per_second + end_ts = start_ts + (self.config.seconds_per_day * self.config.ms_per_second) - 1 + timeseries_data = self.get_timeseries(user_id, metric_type, start_ts, end_ts) + if timeseries_data: + return True + + return False \ No newline at end of file diff --git a/src/garmy/localdb/models.py b/src/garmy/localdb/models.py new file mode 100644 index 0000000..c2ca086 --- /dev/null +++ b/src/garmy/localdb/models.py @@ -0,0 +1,18 @@ +"""Simple data models for local database.""" + +from enum import Enum + + +class MetricType(Enum): + """Available Garmin metrics.""" + DAILY_SUMMARY = "daily_summary" + SLEEP = "sleep" + BODY_BATTERY = "body_battery" + HEART_RATE = "heart_rate" + STRESS = "stress" + TRAINING_READINESS = "training_readiness" + ACTIVITIES = "activities" + STEPS = "steps" + CALORIES = "calories" + HRV = "hrv" + RESPIRATION = "respiration" \ No newline at end of file diff --git a/src/garmy/localdb/progress.py b/src/garmy/localdb/progress.py new file mode 100644 index 0000000..5cca7b2 --- /dev/null +++ b/src/garmy/localdb/progress.py @@ -0,0 +1,470 @@ +""" +ะกะธัั‚ะตะผะฐ ะพั‚ะพะฑั€ะฐะถะตะฝะธั ะฟั€ะพะณั€ะตััะฐ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ. +ะŸะพะดะดะตั€ะถะธะฒะฐะตั‚ ั€ะฐะทะปะธั‡ะฝั‹ะต ั‚ะธะฟั‹ ะฒั‹ะฒะพะดะฐ: ะปะพะณะธ, progress bars, JSON ะธ ะดั€ัƒะณะธะต. +""" + +import json +import logging +import time +from abc import ABC, abstractmethod +from datetime import datetime +from typing import Dict, Any, Optional, List +from dataclasses import dataclass, asdict +from enum import Enum + +try: + from tqdm import tqdm + TQDM_AVAILABLE = True +except ImportError: + TQDM_AVAILABLE = False + +try: + from rich.console import Console + from rich.progress import Progress, TaskID, SpinnerColumn, TextColumn, BarColumn, MofNCompleteColumn, TimeElapsedColumn + from rich.live import Live + from rich.table import Table + from rich.text import Text + RICH_AVAILABLE = True +except ImportError: + RICH_AVAILABLE = False + + +class ProgressEventType(Enum): + """ะขะธะฟั‹ ัะพะฑั‹ั‚ะธะน ะฟั€ะพะณั€ะตััะฐ.""" + SYNC_START = "sync_start" + SYNC_END = "sync_end" + TASK_START = "task_start" + TASK_COMPLETE = "task_complete" + TASK_FAILED = "task_failed" + TASK_SKIPPED = "task_skipped" + BATCH_PROGRESS = "batch_progress" + METRIC_SYNCED = "metric_synced" + ACTIVITY_SYNCED = "activity_synced" + ERROR = "error" + WARNING = "warning" + INFO = "info" + + +@dataclass +class ProgressEvent: + """ะกะพะฑั‹ั‚ะธะต ะฟั€ะพะณั€ะตััะฐ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" + event_type: ProgressEventType + message: str + timestamp: datetime + data: Dict[str, Any] + + def to_dict(self) -> Dict[str, Any]: + """ะšะพะฝะฒะตั€ั‚ะฐั†ะธั ะฒ ัะปะพะฒะฐั€ัŒ.""" + result = asdict(self) + result['timestamp'] = self.timestamp.isoformat() + result['event_type'] = self.event_type.value + return result + + +@dataclass +class SyncStats: + """ะกั‚ะฐั‚ะธัั‚ะธะบะฐ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" + total_tasks: int = 0 + completed: int = 0 + failed: int = 0 + skipped: int = 0 + current_task: str = "" + start_time: Optional[datetime] = None + end_time: Optional[datetime] = None + + @property + def processed(self) -> int: + """ะ’ัะตะณะพ ะพะฑั€ะฐะฑะพั‚ะฐะฝะพ ะทะฐะดะฐั‡.""" + return self.completed + self.failed + self.skipped + + @property + def progress_percentage(self) -> float: + """ะŸั€ะพั†ะตะฝั‚ ะฒั‹ะฟะพะปะฝะตะฝะธั.""" + return (self.processed / self.total_tasks * 100) if self.total_tasks > 0 else 0 + + @property + def elapsed_time(self) -> float: + """ะ’ั€ะตะผั ะฒั‹ะฟะพะปะฝะตะฝะธั ะฒ ัะตะบัƒะฝะดะฐั….""" + if not self.start_time: + return 0 + end = self.end_time or datetime.now() + return (end - self.start_time).total_seconds() + + @property + def eta_seconds(self) -> Optional[float]: + """ะžั†ะตะฝะบะฐ ะฒั€ะตะผะตะฝะธ ะดะพ ะทะฐะฒะตั€ัˆะตะฝะธั.""" + if self.processed == 0 or self.elapsed_time == 0: + return None + + remaining_tasks = self.total_tasks - self.processed + avg_task_time = self.elapsed_time / self.processed + return remaining_tasks * avg_task_time + + +class ProgressReporter(ABC): + """ะะฑัั‚ั€ะฐะบั‚ะฝั‹ะน ั€ะตะฟะพั€ั‚ะตั€ ะฟั€ะพะณั€ะตััะฐ.""" + + def __init__(self, name: str = "sync"): + self.name = name + self.stats = SyncStats() + self.events: List[ProgressEvent] = [] + + def emit_event(self, event_type: ProgressEventType, message: str, **data): + """ะžั‚ะฟั€ะฐะฒะบะฐ ัะพะฑั‹ั‚ะธั.""" + event = ProgressEvent( + event_type=event_type, + message=message, + timestamp=datetime.now(), + data=data + ) + self.events.append(event) + self._handle_event(event) + + @abstractmethod + def _handle_event(self, event: ProgressEvent): + """ะžะฑั€ะฐะฑะพั‚ะบะฐ ัะพะฑั‹ั‚ะธั (ะดะพะปะถะฝะฐ ะฑั‹ั‚ัŒ ั€ะตะฐะปะธะทะพะฒะฐะฝะฐ ะฒ ะฟะพะดะบะปะฐััะต).""" + pass + + def start_sync(self, total_tasks: int, description: str = ""): + """ะะฐั‡ะฐะปะพ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" + self.stats.total_tasks = total_tasks + self.stats.start_time = datetime.now() + self.emit_event(ProgressEventType.SYNC_START, f"Starting sync: {description}", + total_tasks=total_tasks, description=description) + + def end_sync(self, success: bool = True): + """ะžะบะพะฝั‡ะฐะฝะธะต ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" + self.stats.end_time = datetime.now() + status = "completed" if success else "failed" + self.emit_event(ProgressEventType.SYNC_END, f"Sync {status}", + success=success, stats=asdict(self.stats)) + + def task_start(self, task_name: str, details: str = ""): + """ะะฐั‡ะฐะปะพ ะทะฐะดะฐั‡ะธ.""" + self.stats.current_task = task_name + self.emit_event(ProgressEventType.TASK_START, f"Starting: {task_name}", + task_name=task_name, details=details) + + def task_complete(self, task_name: str, details: str = ""): + """ะ—ะฐะฒะตั€ัˆะตะฝะธะต ะทะฐะดะฐั‡ะธ.""" + self.stats.completed += 1 + self.emit_event(ProgressEventType.TASK_COMPLETE, f"Completed: {task_name}", + task_name=task_name, details=details) + + def task_failed(self, task_name: str, error: str = ""): + """ะžัˆะธะฑะบะฐ ะฒ ะทะฐะดะฐั‡ะต.""" + self.stats.failed += 1 + self.emit_event(ProgressEventType.TASK_FAILED, f"Failed: {task_name}", + task_name=task_name, error=error) + + def task_skipped(self, task_name: str, reason: str = ""): + """ะŸั€ะพะฟัƒัะบ ะทะฐะดะฐั‡ะธ.""" + self.stats.skipped += 1 + self.emit_event(ProgressEventType.TASK_SKIPPED, f"Skipped: {task_name}", + task_name=task_name, reason=reason) + + def metric_synced(self, metric_type: str, date: str, records: int): + """ะกะธะฝั…ั€ะพะฝะธะทะธั€ะพะฒะฐะฝะฐ ะผะตั‚ั€ะธะบะฐ.""" + self.emit_event(ProgressEventType.METRIC_SYNCED, f"Synced {metric_type} for {date}", + metric_type=metric_type, date=date, records=records) + + def activity_synced(self, date: str, count: int): + """ะกะธะฝั…ั€ะพะฝะธะทะธั€ะพะฒะฐะฝั‹ ะฐะบั‚ะธะฒะฝะพัั‚ะธ.""" + self.emit_event(ProgressEventType.ACTIVITY_SYNCED, f"Synced {count} activities for {date}", + date=date, count=count) + + def error(self, message: str, **data): + """ะžัˆะธะฑะบะฐ.""" + self.emit_event(ProgressEventType.ERROR, message, **data) + + def warning(self, message: str, **data): + """ะŸั€ะตะดัƒะฟั€ะตะถะดะตะฝะธะต.""" + self.emit_event(ProgressEventType.WARNING, message, **data) + + def info(self, message: str, **data): + """ะ˜ะฝั„ะพั€ะผะฐั†ะธั.""" + self.emit_event(ProgressEventType.INFO, message, **data) + + +class LoggingReporter(ProgressReporter): + """ะ ะตะฟะพั€ั‚ะตั€ ั‡ะตั€ะตะท ัั‚ะฐะฝะดะฐั€ั‚ะฝะพะต ะปะพะณะธั€ะพะฒะฐะฝะธะต.""" + + def __init__(self, name: str = "sync", logger: Optional[logging.Logger] = None, + log_level: int = logging.INFO, show_progress: bool = True): + super().__init__(name) + self.logger = logger or logging.getLogger(f"{__name__}.{name}") + self.log_level = log_level + self.show_progress = show_progress + self._last_progress_log = 0 + self._progress_interval = 10 # ะ›ะพะณะธั€ะพะฒะฐั‚ัŒ ะฟั€ะพะณั€ะตัั ะบะฐะถะดั‹ะต 10 ะทะฐะดะฐั‡ + + def _handle_event(self, event: ProgressEvent): + """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท ะปะพะณะธั€ะพะฒะฐะฝะธะต.""" + level_map = { + ProgressEventType.ERROR: logging.ERROR, + ProgressEventType.WARNING: logging.WARNING, + ProgressEventType.TASK_FAILED: logging.WARNING, + } + + log_level = level_map.get(event.event_type, self.log_level) + + # ะ”ะพะฑะฐะฒะปัะตะผ ะบะพะฝั‚ะตะบัั‚ ะดะปั ะฝะตะบะพั‚ะพั€ั‹ั… ัะพะฑั‹ั‚ะธะน + message = event.message + if event.event_type == ProgressEventType.SYNC_START: + message = f"๐Ÿš€ {message}" + elif event.event_type == ProgressEventType.SYNC_END: + elapsed = self.stats.elapsed_time + message = f"โœ… {message} in {elapsed:.1f}s - {self.stats.completed} success, {self.stats.failed} failed, {self.stats.skipped} skipped" + elif event.event_type == ProgressEventType.TASK_COMPLETE and self.show_progress: + # ะ›ะพะณะธั€ัƒะตะผ ะฟั€ะพะณั€ะตัั ะฟะตั€ะธะพะดะธั‡ะตัะบะธ + if self.stats.processed - self._last_progress_log >= self._progress_interval: + progress = self.stats.progress_percentage + eta = self.stats.eta_seconds + eta_str = f", ETA: {eta:.0f}s" if eta else "" + message = f"๐Ÿ“Š Progress: {self.stats.processed}/{self.stats.total_tasks} ({progress:.1f}%){eta_str}" + self._last_progress_log = self.stats.processed + else: + return # ะะต ะปะพะณะธั€ัƒะตะผ ะบะฐะถะดัƒัŽ ะทะฐะดะฐั‡ัƒ + + self.logger.log(log_level, message) + + +class TqdmReporter(ProgressReporter): + """ะ ะตะฟะพั€ั‚ะตั€ ั‡ะตั€ะตะท tqdm progress bar.""" + + def __init__(self, name: str = "sync", leave: bool = True, + show_details: bool = True, update_interval: float = 0.1): + super().__init__(name) + if not TQDM_AVAILABLE: + raise ImportError("tqdm is required for TqdmReporter. Install with: pip install tqdm") + + self.leave = leave + self.show_details = show_details + self.update_interval = update_interval + self.pbar: Optional[tqdm] = None + self._last_update = 0 + + def _handle_event(self, event: ProgressEvent): + """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท tqdm.""" + if event.event_type == ProgressEventType.SYNC_START: + self.pbar = tqdm( + total=self.stats.total_tasks, + desc=f"๐Ÿ”„ {self.name}", + leave=self.leave, + unit="task" + ) + + elif event.event_type == ProgressEventType.SYNC_END and self.pbar: + self.pbar.close() + + elif event.event_type in [ProgressEventType.TASK_COMPLETE, ProgressEventType.TASK_FAILED, ProgressEventType.TASK_SKIPPED]: + if self.pbar: + # ะžะฑะฝะพะฒะปัะตะผ ะฟั€ะพะณั€ะตัั + self.pbar.update(1) + + # ะžะฑะฝะพะฒะปัะตะผ ะพะฟะธัะฐะฝะธะต, ะตัะปะธ ะฝัƒะถะฝะพ + if self.show_details and time.time() - self._last_update > self.update_interval: + progress = self.stats.progress_percentage + desc = f"๐Ÿ”„ {self.name} ({progress:.1f}%)" + if self.stats.current_task: + desc += f" - {self.stats.current_task}" + self.pbar.set_description(desc) + self._last_update = time.time() + + elif event.event_type == ProgressEventType.ERROR and self.pbar: + self.pbar.write(f"โŒ Error: {event.message}") + + elif event.event_type == ProgressEventType.WARNING and self.pbar: + self.pbar.write(f"โš ๏ธ Warning: {event.message}") + + +class RichReporter(ProgressReporter): + """ะ ะตะฟะพั€ั‚ะตั€ ั‡ะตั€ะตะท Rich (ะบั€ะฐัะธะฒั‹ะน ั‚ะตั€ะผะธะฝะฐะปัŒะฝั‹ะน ะฒั‹ะฒะพะด).""" + + def __init__(self, name: str = "sync", show_details: bool = True, + show_stats_table: bool = True): + super().__init__(name) + if not RICH_AVAILABLE: + raise ImportError("rich is required for RichReporter. Install with: pip install rich") + + self.console = Console() + self.show_details = show_details + self.show_stats_table = show_stats_table + self.progress: Optional[Progress] = None + self.task_id: Optional[TaskID] = None + self.live: Optional[Live] = None + + def _handle_event(self, event: ProgressEvent): + """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท Rich.""" + if event.event_type == ProgressEventType.SYNC_START: + self.progress = Progress( + SpinnerColumn(), + TextColumn("[progress.description]{task.description}"), + BarColumn(), + MofNCompleteColumn(), + TextColumn("({task.percentage:>3.0f}%)"), + TimeElapsedColumn(), + console=self.console + ) + + self.task_id = self.progress.add_task( + f"๐Ÿ”„ {self.name}", + total=self.stats.total_tasks + ) + + if self.show_stats_table: + self.live = Live(self._create_layout(), console=self.console, refresh_per_second=2) + self.live.start() + else: + self.progress.start() + + elif event.event_type == ProgressEventType.SYNC_END: + if self.live: + self.live.stop() + elif self.progress: + self.progress.stop() + + # ะคะธะฝะฐะปัŒะฝะพะต ัะพะพะฑั‰ะตะฝะธะต + status = "โœ… Completed" if event.data.get('success', True) else "โŒ Failed" + elapsed = self.stats.elapsed_time + self.console.print(f"{status} in {elapsed:.1f}s - {self.stats.completed} success, {self.stats.failed} failed, {self.stats.skipped} skipped") + + elif event.event_type in [ProgressEventType.TASK_COMPLETE, ProgressEventType.TASK_FAILED, ProgressEventType.TASK_SKIPPED]: + if self.progress and self.task_id is not None: + self.progress.update(self.task_id, advance=1) + + if self.show_details and self.stats.current_task: + desc = f"๐Ÿ”„ {self.name} - {self.stats.current_task}" + self.progress.update(self.task_id, description=desc) + + elif event.event_type == ProgressEventType.ERROR: + self.console.print(f"โŒ [red]Error:[/red] {event.message}") + + elif event.event_type == ProgressEventType.WARNING: + self.console.print(f"โš ๏ธ [yellow]Warning:[/yellow] {event.message}") + + def _create_layout(self): + """ะกะพะทะดะฐะฝะธะต ะปัะนะฐัƒั‚ะฐ ั ั‚ะฐะฑะปะธั†ะตะน ัั‚ะฐั‚ะธัั‚ะธะบะธ.""" + if not self.progress: + return Table() + + # ะžัะฝะพะฒะฝะพะน ะฟั€ะพะณั€ะตัั + progress_panel = self.progress + + # ะขะฐะฑะปะธั†ะฐ ัั‚ะฐั‚ะธัั‚ะธะบะธ + stats_table = Table(title="๐Ÿ“Š Sync Statistics", show_header=True, header_style="bold magenta") + stats_table.add_column("Metric", style="cyan") + stats_table.add_column("Value", justify="right") + + stats_table.add_row("โœ… Completed", str(self.stats.completed)) + stats_table.add_row("โŒ Failed", str(self.stats.failed)) + stats_table.add_row("โญ๏ธ Skipped", str(self.stats.skipped)) + stats_table.add_row("โฑ๏ธ Elapsed", f"{self.stats.elapsed_time:.1f}s") + + if self.stats.eta_seconds: + stats_table.add_row("๐Ÿ”ฎ ETA", f"{self.stats.eta_seconds:.1f}s") + + # ะšะพะผะฟะพะฝัƒะตะผ ะฒัะต ะฒะผะตัั‚ะต + from rich.columns import Columns + return Columns([progress_panel, stats_table]) + + +class JsonReporter(ProgressReporter): + """ะ ะตะฟะพั€ั‚ะตั€ ะฒ JSON ั„ะพั€ะผะฐั‚ (ะดะปั ะผะฐัˆะธะฝะฝะพะน ะพะฑั€ะฐะฑะพั‚ะบะธ).""" + + def __init__(self, name: str = "sync", output_file: Optional[str] = None, + real_time: bool = False): + super().__init__(name) + self.output_file = output_file + self.real_time = real_time # ะŸะธัะฐั‚ัŒ ัะพะฑั‹ั‚ะธั ะฒ ั€ะตะฐะปัŒะฝะพะผ ะฒั€ะตะผะตะฝะธ + + def _handle_event(self, event: ProgressEvent): + """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท JSON ะฒั‹ะฒะพะด.""" + event_dict = event.to_dict() + event_dict['stats'] = asdict(self.stats) + + if self.real_time: + if self.output_file: + # ะ”ะพะฑะฐะฒะปัะตะผ ะฒ ั„ะฐะนะป + with open(self.output_file, 'a') as f: + json.dump(event_dict, f, ensure_ascii=False) + f.write('\n') + else: + # ะ’ั‹ะฒะพะดะธะผ ะฒ stdout + print(json.dumps(event_dict, ensure_ascii=False)) + + def end_sync(self, success: bool = True): + """ะžะบะพะฝั‡ะฐะฝะธะต ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ ั ัะพั…ั€ะฐะฝะตะฝะธะตะผ ะฟะพะปะฝะพะณะพ ะพั‚ั‡ะตั‚ะฐ.""" + super().end_sync(success) + + if not self.real_time and self.output_file: + # ะกะพั…ั€ะฐะฝัะตะผ ะฟะพะปะฝั‹ะน ะพั‚ั‡ะตั‚ ะฒ ะบะพะฝั†ะต + report = { + 'sync_name': self.name, + 'stats': asdict(self.stats), + 'events': [event.to_dict() for event in self.events], + 'summary': { + 'success': success, + 'total_events': len(self.events), + 'duration_seconds': self.stats.elapsed_time + } + } + + with open(self.output_file, 'w') as f: + json.dump(report, f, indent=2, ensure_ascii=False) + + +class MultiReporter(ProgressReporter): + """ะ ะตะฟะพั€ั‚ะตั€, ะพะฑัŠะตะดะธะฝััŽั‰ะธะน ะฝะตัะบะพะปัŒะบะพ ั€ะตะฟะพั€ั‚ะตั€ะพะฒ.""" + + def __init__(self, name: str = "sync", reporters: List[ProgressReporter] = None): + super().__init__(name) + self.reporters = reporters or [] + + # ะกะธะฝั…ั€ะพะฝะธะทะธั€ัƒะตะผ ัั‚ะฐั‚ะธัั‚ะธะบัƒ ะผะตะถะดัƒ ั€ะตะฟะพั€ั‚ะตั€ะฐะผะธ + for reporter in self.reporters: + reporter.stats = self.stats + + def add_reporter(self, reporter: ProgressReporter): + """ะ”ะพะฑะฐะฒะปะตะฝะธะต ั€ะตะฟะพั€ั‚ะตั€ะฐ.""" + reporter.stats = self.stats + self.reporters.append(reporter) + + def _handle_event(self, event: ProgressEvent): + """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท ะฒัะต ั€ะตะฟะพั€ั‚ะตั€ั‹.""" + for reporter in self.reporters: + try: + reporter._handle_event(event) + except Exception as e: + # ะะต ะฟะฐะดะฐะตะผ, ะตัะปะธ ะพะดะธะฝ ะธะท ั€ะตะฟะพั€ั‚ะตั€ะพะฒ ัะปะพะผะฐะปัั + print(f"Warning: Reporter {type(reporter).__name__} failed: {e}") + + +class SilentReporter(ProgressReporter): + """ะขะธั…ะธะน ั€ะตะฟะพั€ั‚ะตั€ (ะฝะธั‡ะตะณะพ ะฝะต ะฒั‹ะฒะพะดะธั‚).""" + + def _handle_event(self, event: ProgressEvent): + """ะะธั‡ะตะณะพ ะฝะต ะดะตะปะฐะตะผ.""" + pass + + +# ะคะฐะฑั€ะธะบะฐ ะดะปั ัะพะทะดะฐะฝะธั ั€ะตะฟะพั€ั‚ะตั€ะพะฒ +def create_reporter(reporter_type: str, **kwargs) -> ProgressReporter: + """ะคะฐะฑั€ะธะบะฐ ะดะปั ัะพะทะดะฐะฝะธั ั€ะตะฟะพั€ั‚ะตั€ะพะฒ.""" + + if reporter_type == "logging": + return LoggingReporter(**kwargs) + elif reporter_type == "tqdm": + if not TQDM_AVAILABLE: + raise ImportError("tqdm is required. Install with: pip install tqdm") + return TqdmReporter(**kwargs) + elif reporter_type == "rich": + if not RICH_AVAILABLE: + raise ImportError("rich is required. Install with: pip install rich") + return RichReporter(**kwargs) + elif reporter_type == "json": + return JsonReporter(**kwargs) + elif reporter_type == "silent": + return SilentReporter(**kwargs) + else: + raise ValueError(f"Unknown reporter type: {reporter_type}") \ No newline at end of file diff --git a/src/garmy/localdb/sync.py b/src/garmy/localdb/sync.py new file mode 100644 index 0000000..ac7fe73 --- /dev/null +++ b/src/garmy/localdb/sync.py @@ -0,0 +1,748 @@ +"""Simple sequential sync manager for Garmin data.""" + +import asyncio +import logging +from datetime import date, datetime, timedelta +from typing import Optional, List, Dict, Any +from pathlib import Path + +from ..core.client import APIClient +from ..auth.client import AuthClient +from .db import HealthDB +from .models import MetricType +from .config import LocalDBConfig +from .progress import create_reporter, ProgressReporter + + +class SyncManager: + """Simple sequential sync manager - no task queues, no complexity.""" + + def __init__(self, + db_path: Path = Path("health.db"), + config: Optional[LocalDBConfig] = None, + progress_reporter: Optional[ProgressReporter] = None): + """Initialize sync manager. + + Args: + db_path: Path to SQLite database file (default: "health.db") + config: Sync configuration (default: LocalDBConfig()) + progress_reporter: Custom progress reporter (optional) + """ + self.config = config if config is not None else LocalDBConfig() + self.db = HealthDB(db_path, self.config.database) + self.api_client: Optional[APIClient] = None + self.logger = logging.getLogger(__name__) + + # ะะฐัั‚ั€ะพะนะบะฐ ะฟั€ะพะณั€ะตััะฐ + if progress_reporter: + self.progress = progress_reporter + else: + self.progress = create_reporter( + self.config.sync.progress_reporter, + name="garmin_sync", + show_details=self.config.sync.progress_show_details, + logger=self.logger, + log_level=logging.INFO, + progress_interval=self.config.sync.progress_log_interval + ) + + self._setup_logging() + + def _setup_logging(self): + """Setup basic logging.""" + if not self.logger.handlers: + handler = logging.StreamHandler() + handler.setFormatter(logging.Formatter('%(levelname)s - %(message)s')) + self.logger.addHandler(handler) + self.logger.setLevel(logging.INFO) + + async def initialize(self, email: str, password: str): + """Initialize with Garmin credentials.""" + if not email or not isinstance(email, str): + raise ValueError("Email must be a non-empty string") + if not password or not isinstance(password, str): + raise ValueError("Password must be a non-empty string") + + try: + auth_client = AuthClient() + self.api_client = APIClient(auth_client=auth_client) + auth_client.login(email, password) + self.progress.info("Garmin authentication successful") + except Exception as e: + self.api_client = None + self.progress.error(f"Failed to authenticate with Garmin: {e}") + raise RuntimeError(f"Failed to authenticate with Garmin: {e}") from e + + async def sync_range(self, user_id: int, start_date: date, end_date: date, + metrics: Optional[List[MetricType]] = None, max_retries: Optional[int] = None) -> Dict[str, int]: + """ + Simple sequential sync for date range. + + Args: + user_id: User ID + start_date: Start date for sync + end_date: End date for sync + metrics: Specific metrics to sync (default: all) + max_retries: Max retry attempts per metric + + Returns: + Dict with sync statistics + """ + if not self.api_client: + raise RuntimeError("Sync manager not initialized. Call initialize() first.") + + # Validate input parameters + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(start_date, date): + raise ValueError(f"start_date must be a date object, got {type(start_date)}") + if not isinstance(end_date, date): + raise ValueError(f"end_date must be a date object, got {type(end_date)}") + if start_date > end_date: + raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") + + if metrics is None: + metrics = list(MetricType) + elif not isinstance(metrics, list) or not all(isinstance(m, MetricType) for m in metrics): + raise ValueError("metrics must be a list of MetricType enum values") + + if max_retries is None: + max_retries = self.config.sync.max_retries + elif not isinstance(max_retries, int) or max_retries < 1: + raise ValueError(f"max_retries must be a positive integer, got {max_retries}") + + # Calculate total work + date_count = (end_date - start_date).days + 1 + + # Prevent extremely large sync ranges + MAX_SYNC_DAYS = 3650 # ~10 years + if date_count > MAX_SYNC_DAYS: + raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {MAX_SYNC_DAYS} days") + + non_activities_metrics = [m for m in metrics if m != MetricType.ACTIVITIES] + total_tasks = date_count * len(metrics) # Include activities in total count + + stats = { + 'total_tasks': total_tasks, + 'completed': 0, + 'failed': 0, + 'skipped': 0 + } + + current_date = end_date # Start from newest date + task_num = 0 + + # Initialize activities iterator if needed + activities_iterator = None + if MetricType.ACTIVITIES in metrics: + activities_iterator = ActivitiesIterator(self.api_client, self.config.sync, self.progress) + self.progress.info(f"Initialized activities iterator for date-based sync") + + # ะะฐั‡ะธะฝะฐะตะผ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธัŽ + description = f"{date_count} days ร— {len(metrics)} metrics" + self.progress.start_sync(total_tasks, description) + + while current_date >= start_date: + # Sync regular metrics (non-activities) + for metric in non_activities_metrics: + task_num += 1 + + # Skip if already synced + if self._has_metric_data(user_id, metric, current_date): + self.progress.task_skipped(f"{metric.value} {current_date}", "Already exists") + stats['skipped'] += 1 + continue + + # Start task + self.progress.task_start(f"{metric.value} {current_date}") + + # Sync with retry logic + success = await self._sync_metric_with_retry( + user_id, metric, current_date, max_retries + ) + + if success: + self.progress.task_complete(f"{metric.value} {current_date}") + stats['completed'] += 1 + else: + self.progress.task_failed(f"{metric.value} {current_date}") + stats['failed'] += 1 + + # Rate limiting + await asyncio.sleep(self.config.sync.rate_limit_delay) + + # Sync activities for this date using iterator + if activities_iterator: + task_num += 1 + task_name = f"activities {current_date}" + + try: + self.progress.task_start(task_name) + date_activities = await activities_iterator.get_activities_for_date(current_date) + + if date_activities: + activities_synced = 0 + for activity in date_activities: + # Extract and validate activity data + activity_data = self._extract_activity_data(activity) + + if not activity_data or not activity_data.get('activity_id'): + stats['failed'] += 1 + continue + + activity_id = activity_data['activity_id'] + + # Check if already stored + if self.db.activity_exists(user_id, activity_id): + stats['skipped'] += 1 + continue + + # Store activity in dedicated table + activity_data['activity_date'] = current_date + self.db.store_activity(user_id, activity_data) + activities_synced += 1 + stats['completed'] += 1 + + if activities_synced > 0: + self.progress.activity_synced(str(current_date), activities_synced) + self.progress.task_complete(task_name, f"{activities_synced} activities") + else: + self.progress.task_skipped(task_name, "No new activities") + stats['skipped'] += 1 + else: + # No activities for this date - this is normal + self.progress.task_skipped(task_name, "No activities found") + stats['skipped'] += 1 + + except Exception as e: + self.progress.task_failed(task_name, str(e)) + stats['failed'] += 1 + + current_date -= timedelta(days=1) + + # ะ—ะฐะฒะตั€ัˆะฐะตะผ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธัŽ + success = stats['failed'] == 0 + self.progress.end_sync(success) + return stats + + async def _sync_metric_with_retry(self, user_id: int, metric_type: MetricType, + sync_date: date, max_retries: int) -> bool: + """Sync single metric with retry logic.""" + for attempt in range(max_retries): + try: + data = await self._fetch_metric_data(metric_type, sync_date) + + if data is None: + # No data available - this is normal, mark as success + return True + + # Store data in appropriate table + records_stored = self._store_metric_data(user_id, metric_type, sync_date, data) + + if records_stored > 0: + self.progress.metric_synced(metric_type.value, str(sync_date), records_stored) + + return True + + except Exception as e: + if attempt == max_retries - 1: + self.progress.error(f"Failed to sync {metric_type.value} for {sync_date} after {max_retries} attempts: {e}") + return False + else: + wait_time = self.config.sync.retry_exponential_base ** attempt # Exponential backoff + self.progress.warning(f"Retry {attempt + 1}/{max_retries} for {metric_type.value} {sync_date} in {wait_time}s: {e}") + await asyncio.sleep(wait_time) + + return False + + # Note: _sync_activities_batch method removed - replaced with ActivitiesIterator integration + + # Note: _extract_activity_date moved to ActivitiesIterator class + + + async def _fetch_metric_data(self, metric_type: MetricType, sync_date: date) -> Optional[Any]: + """Fetch metric data from Garmin API.""" + date_str = sync_date.strftime('%Y-%m-%d') + + try: + metric_accessor = self.api_client.metrics.get(metric_type.value) + + if metric_type == MetricType.ACTIVITIES: + # Activities API doesn't support date-specific queries + # Skip individual date sync - activities are handled separately + return None + else: + data = metric_accessor.get(date_str) + + return data if isinstance(data, list) else [data] if data else None + + except Exception as e: + error_str = str(e).lower() + # Handle common "no data" scenarios + if any(phrase in error_str for phrase in [ + "404", "no data", "not found", "missing 1 required positional argument", + "required field", "missing required", "validation error" + ]): + return None + # Re-raise unexpected errors with context + raise RuntimeError(f"Failed to fetch {metric_type.value} data for {date_str}: {e}") from e + + def _store_metric_data(self, user_id: int, metric_type: MetricType, + sync_date: date, data: List[Any]) -> int: + """Store metric data using proper extraction methods.""" + records_stored = 0 + + for item in data: + try: + # Extract data using metric-specific methods + extracted_data = self._extract_metric_data(item, metric_type) + + # Only store if there's actual data (not empty dict) + if extracted_data and any(value is not None for value in extracted_data.values()): + if metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, + MetricType.HEART_RATE, MetricType.RESPIRATION]: + # Try timeseries first, fallback to summary + timeseries_data = self._extract_timeseries_data(item, metric_type) + if timeseries_data: + self.db.store_timeseries_batch(user_id, metric_type, timeseries_data) + records_stored += len(timeseries_data) + + # Also store summary data in normalized table + if extracted_data: + self._store_health_metric(user_id, sync_date, metric_type, extracted_data) + records_stored += 1 + elif metric_type in [MetricType.DAILY_SUMMARY, MetricType.SLEEP, + MetricType.TRAINING_READINESS, MetricType.HRV]: + # Store in normalized health metrics table + self._store_health_metric(user_id, sync_date, metric_type, extracted_data) + records_stored += 1 + else: + # Legacy metrics - skip or log warning + self.progress.warning(f"Metric {metric_type.value} not supported in normalized schema") + records_stored += 1 + + except Exception as e: + self.progress.warning(f"Failed to process {metric_type.value} item: {e}") + + return records_stored + + def _extract_metric_data(self, data: Any, metric_type: MetricType) -> Optional[Dict]: + """Extract data using proper metric architecture.""" + try: + if metric_type == MetricType.DAILY_SUMMARY: + return self._extract_daily_summary_data(data) + elif metric_type == MetricType.SLEEP: + return self._extract_sleep_data(data) + elif metric_type == MetricType.HEART_RATE: + return self._extract_heart_rate_summary(data) + elif metric_type == MetricType.TRAINING_READINESS: + return self._extract_training_readiness_data(data) + elif metric_type == MetricType.HRV: + return self._extract_hrv_data(data) + elif metric_type == MetricType.RESPIRATION: + return self._extract_respiration_summary(data) + elif metric_type == MetricType.ACTIVITIES: + return self._extract_activity_data(data) + + except Exception as e: + self.progress.warning(f"Failed to extract {metric_type.value} data: {e}") + + return None + + def _extract_daily_summary_data(self, data: Any) -> Dict[str, Any]: + """Extract comprehensive daily summary - main hub for daily metrics.""" + return { + # Steps metrics (primary source) + 'total_steps': getattr(data, 'total_steps', None), + 'step_goal': getattr(data, 'step_goal', None), + 'total_distance_meters': getattr(data, 'total_distance', None), + + # Calories metrics (primary source) + 'total_calories': getattr(data, 'total_kilocalories', None), + 'active_calories': getattr(data, 'active_kilocalories', None), + 'bmr_calories': getattr(data, 'bmr_kilocalories', None), + + # Heart rate metrics (primary source) + 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), + 'max_heart_rate': getattr(data, 'max_heart_rate', None), + 'min_heart_rate': getattr(data, 'min_heart_rate', None), + + # Stress metrics (primary source) + 'avg_stress_level': getattr(data, 'average_stress_level', None), + 'max_stress_level': getattr(data, 'max_stress_level', None), + + # Body Battery metrics (primary source) + 'body_battery_high': getattr(data, 'body_battery_highest_value', None), + 'body_battery_low': getattr(data, 'body_battery_lowest_value', None) + } + + def _extract_sleep_data(self, data: Any) -> Dict[str, Any]: + """Extract sleep metrics - unique to sleep.""" + return { + 'sleep_duration_hours': getattr(data, 'sleep_duration_hours', None), + 'deep_sleep_percentage': getattr(data, 'deep_sleep_percentage', None), + 'light_sleep_percentage': getattr(data, 'light_sleep_percentage', None), + 'rem_sleep_percentage': getattr(data, 'rem_sleep_percentage', None), + 'awake_percentage': getattr(data, 'awake_percentage', None), + 'average_spo2': getattr(data, 'average_spo2', None), + 'average_respiration': getattr(data, 'average_respiration', None) + } + + def _extract_heart_rate_summary(self, data: Any) -> Dict[str, Any]: + """Extract heart rate summary - unique fields not in daily_summary.""" + return { + 'average_heart_rate': getattr(data, 'average_heart_rate', None) + } + + def _extract_training_readiness_data(self, data: Any) -> Dict[str, Any]: + """Extract training readiness data.""" + return { + 'score': getattr(data, 'score', None), + 'level': getattr(data, 'level', None), + 'feedback': getattr(data, 'feedback_short', None) + } + + def _extract_hrv_data(self, data: Any) -> Dict[str, Any]: + """Extract HRV using nested summary.""" + hrv_summary = getattr(data, 'hrv_summary', None) + if hrv_summary: + return { + 'weekly_avg': getattr(hrv_summary, 'weekly_avg', None), + 'last_night_avg': getattr(hrv_summary, 'last_night_avg', None), + 'status': getattr(hrv_summary, 'status', None) + } + return {} + + + def _extract_respiration_summary(self, data: Any) -> Dict[str, Any]: + """Extract respiration summary - unique respiratory metrics.""" + summary = getattr(data, 'respiration_summary', None) + if summary: + return { + 'avg_waking_respiration_value': getattr(summary, 'avg_waking_respiration_value', None), + 'avg_sleep_respiration_value': getattr(summary, 'avg_sleep_respiration_value', None), + 'lowest_respiration_value': getattr(summary, 'lowest_respiration_value', None), + 'highest_respiration_value': getattr(summary, 'highest_respiration_value', None) + } + return {} + + def _extract_activity_data(self, data: Any) -> Dict[str, Any]: + """Extract activity data from both parsed and raw formats.""" + # Handle both object attributes and dict keys + def get_value(obj, *keys): + for key in keys: + if hasattr(obj, key): + return getattr(obj, key, None) + elif isinstance(obj, dict) and key in obj: + return obj[key] + return None + + activity_id = get_value(data, 'activity_id', 'activityId') + if activity_id: + return { + 'activity_id': activity_id, + 'activity_name': get_value(data, 'activity_name', 'activityName', 'activityTypeName'), + 'duration_seconds': get_value(data, 'duration', 'movingDuration', 'elapsedDuration'), + 'avg_heart_rate': get_value(data, 'average_hr', 'averageHR', 'avgHR'), + 'training_load': get_value(data, 'activity_training_load', 'trainingLoad'), + 'start_time': get_value(data, 'start_time_local', 'startTimeLocal', 'start_time') + } + return {} + + def _extract_timeseries_data(self, data: Any, metric_type: MetricType) -> List[tuple]: + """Extract timeseries using computed properties.""" + try: + if metric_type == MetricType.BODY_BATTERY: + readings = getattr(data, 'body_battery_readings', []) or [] + return [(r.timestamp, r.level, {'status': r.status}) for r in readings] + + elif metric_type == MetricType.STRESS: + readings = getattr(data, 'stress_readings', []) or [] + return [(r.timestamp, r.stress_level, {'category': getattr(r, 'stress_category', None)}) + for r in readings] + + elif metric_type == MetricType.HEART_RATE: + # HeartRate doesn't have computed readings property, use raw array + values = getattr(data, 'heart_rate_values_array', []) or [] + result = [] + for item in values: + if isinstance(item, (list, tuple)) and len(item) >= self.config.sync.min_timeseries_fields: + ts, val = item[0], item[1] + if ts and val is not None: + result.append((ts, val, None)) + return result + + elif metric_type == MetricType.RESPIRATION: + # Respiration uses raw arrays + values = getattr(data, 'respiration_values_array', []) or [] + result = [] + for item in values: + if isinstance(item, (list, tuple)) and len(item) >= self.config.sync.min_timeseries_fields: + ts, val = item[0], item[1] + if ts and val is not None: + result.append((ts, val, None)) + return result + + except Exception as e: + self.progress.warning(f"Failed to extract timeseries for {metric_type}: {e}") + + return [] + + + def _store_health_metric(self, user_id: int, sync_date: date, metric_type: MetricType, data: Dict): + """Store data in normalized health metrics table.""" + if metric_type == MetricType.DAILY_SUMMARY: + self.db.store_health_metric( + user_id, sync_date, + total_steps=data.get('total_steps'), + step_goal=data.get('step_goal'), + total_distance_meters=data.get('total_distance_meters'), + total_calories=data.get('total_calories'), + active_calories=data.get('active_calories'), + bmr_calories=data.get('bmr_calories'), + resting_heart_rate=data.get('resting_heart_rate'), + max_heart_rate=data.get('max_heart_rate'), + min_heart_rate=data.get('min_heart_rate'), + avg_stress_level=data.get('avg_stress_level'), + max_stress_level=data.get('max_stress_level'), + body_battery_high=data.get('body_battery_high'), + body_battery_low=data.get('body_battery_low') + ) + elif metric_type == MetricType.SLEEP: + self.db.store_health_metric( + user_id, sync_date, + sleep_duration_hours=data.get('sleep_duration_hours'), + deep_sleep_percentage=data.get('deep_sleep_percentage'), + light_sleep_percentage=data.get('light_sleep_percentage'), + rem_sleep_percentage=data.get('rem_sleep_percentage'), + awake_percentage=data.get('awake_percentage'), + average_spo2=data.get('average_spo2'), + average_respiration=data.get('average_respiration') + ) + elif metric_type == MetricType.HEART_RATE: + self.db.store_health_metric( + user_id, sync_date, + average_heart_rate=data.get('average_heart_rate') + ) + elif metric_type == MetricType.TRAINING_READINESS: + self.db.store_health_metric( + user_id, sync_date, + training_readiness_score=data.get('score'), + training_readiness_level=data.get('level'), + training_readiness_feedback=data.get('feedback') + ) + elif metric_type == MetricType.HRV: + self.db.store_health_metric( + user_id, sync_date, + hrv_weekly_avg=data.get('weekly_avg'), + hrv_last_night_avg=data.get('last_night_avg'), + hrv_status=data.get('status') + ) + elif metric_type == MetricType.RESPIRATION: + self.db.store_health_metric( + user_id, sync_date, + avg_waking_respiration_value=data.get('avg_waking_respiration_value'), + avg_sleep_respiration_value=data.get('avg_sleep_respiration_value'), + lowest_respiration_value=data.get('lowest_respiration_value'), + highest_respiration_value=data.get('highest_respiration_value') + ) + + def _has_metric_data(self, user_id: int, metric_type: MetricType, sync_date: date) -> bool: + """Universal method to check if metric data exists.""" + if metric_type in [MetricType.DAILY_SUMMARY, MetricType.SLEEP, + MetricType.TRAINING_READINESS, MetricType.HRV, MetricType.RESPIRATION]: + return self.db.health_metric_exists(user_id, sync_date) + elif metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, MetricType.HEART_RATE]: + # Check both timeseries and normalized table + return (self.db.health_metric_exists(user_id, sync_date) or + self.db.has_data_for_date(user_id, metric_type, sync_date)) + else: + # Legacy metrics + return self.db.has_data_for_date(user_id, metric_type, sync_date) + + def query_health_metrics(self, user_id: int, start_date: date, end_date: date) -> List[Dict]: + """Query normalized health metrics for analysis.""" + return self.db.get_health_metrics(user_id, start_date, end_date) + + def query_activities(self, user_id: int, start_date: date, end_date: date, + activity_name: Optional[str] = None) -> List[Dict]: + """Query activities for analysis.""" + return self.db.get_activities(user_id, start_date, end_date, activity_name) + + def query_timeseries(self, user_id: int, metric_type: MetricType, + start_time: datetime, end_time: datetime) -> List[Dict]: + """Query timeseries data.""" + start_ts = int(start_time.timestamp() * self.config.database.ms_per_second) + end_ts = int(end_time.timestamp() * self.config.database.ms_per_second) + + data = self.db.get_timeseries(user_id, metric_type, start_ts, end_ts) + + return [{ + 'timestamp': ts, + 'datetime': datetime.fromtimestamp(ts / self.config.database.ms_per_second).isoformat(), + 'value': value, + 'metadata': metadata + } for ts, value, metadata in data] + + # Analytics methods + def get_sleep_analysis(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: + """Get comprehensive sleep analysis.""" + return self.db.get_sleep_analysis(user_id, start_date, end_date) + + def get_activity_summary(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: + """Get activity summary and statistics.""" + return self.db.get_activity_summary(user_id, start_date, end_date) + + def get_health_trends(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: + """Get health trends and key metrics.""" + return self.db.get_health_trends(user_id, start_date, end_date) + + def get_stats(self) -> Dict[str, Any]: + """Get database statistics.""" + return self.db.get_stats() + + +class ActivitiesIterator: + """Iterator-based activities synchronization with automatic pagination.""" + + def __init__(self, api_client, sync_config, progress_reporter): + """Initialize activities iterator.""" + self.api_client = api_client + self.config = sync_config + self.progress = progress_reporter + self.metric_accessor = api_client.metrics.get('activities') + + # Pagination state + self.current_offset = 0 + self.batch_size = sync_config.activities_batch_size + self.current_batch = [] + self.batch_index = 0 + self.exhausted = False + + # Activity processing state + self.current_activity = None + self.current_activity_date = None + + async def _fetch_next_batch(self) -> bool: + """Fetch next batch of activities. Returns True if more data available.""" + if self.exhausted: + return False + + try: + batch = self.metric_accessor.raw(limit=self.batch_size, start=self.current_offset) + + if not batch or len(batch) == 0: + self.exhausted = True + return False + + self.current_batch = batch + self.batch_index = 0 + self.current_offset += len(batch) + + # Check if we've reached the end + if len(batch) < self.batch_size: + self.exhausted = True + + # Rate limiting + await asyncio.sleep(self.config.rate_limit_delay) + return True + + except Exception as e: + self.progress.error(f"Failed to fetch activities batch at offset {self.current_offset}: {e}") + self.exhausted = True + # For critical network/API errors, we should fail fast rather than silently continue + if "network" in str(e).lower() or "connection" in str(e).lower(): + raise RuntimeError(f"Network error during activities sync: {e}") from e + return False + + async def _advance_to_next_activity(self) -> bool: + """Move to next activity. Returns True if activity available.""" + # Try to get next activity from current batch + while self.batch_index >= len(self.current_batch): + # Need to fetch next batch + if not await self._fetch_next_batch(): + self.current_activity = None + self.current_activity_date = None + return False + + # Get current activity from batch + raw_activity = self.current_batch[self.batch_index] + self.batch_index += 1 + + # Parse activity data + try: + if isinstance(raw_activity, dict): + activity_obj = type('Activity', (), raw_activity) + else: + activity_obj = raw_activity + + self.current_activity = activity_obj + self.current_activity_date = self._extract_activity_date(activity_obj) + + if not self.current_activity_date: + return await self._advance_to_next_activity() # Try next activity + + return True + + except Exception as e: + self.progress.warning(f"Failed to parse activity: {e}") + return await self._advance_to_next_activity() # Try next activity + + def _extract_activity_date(self, activity) -> Optional[date]: + """Extract date from activity start time.""" + try: + start_time = getattr(activity, 'start_time_local', None) or \ + getattr(activity, 'startTimeLocal', None) or \ + getattr(activity, 'start_time', None) + + if start_time: + if isinstance(start_time, str): + from datetime import datetime + start_time = start_time.replace('Z', '+00:00') + if '.' in start_time and '+' in start_time: + dt = datetime.fromisoformat(start_time) + else: + dt = datetime.fromisoformat(start_time) + return dt.date() + elif hasattr(start_time, 'date'): + return start_time.date() + except Exception: + pass + return None + + async def get_activities_for_date(self, target_date: date) -> List[Any]: + """Get all activities for a specific date.""" + activities = [] + + # Ensure we have a current activity + if self.current_activity is None: + if not await self._advance_to_next_activity(): + return activities + + # Process activities while they match or are newer than target_date + while self.current_activity is not None: + if self.current_activity_date is None: + # Skip activities without dates + if not await self._advance_to_next_activity(): + break + continue + + if self.current_activity_date > target_date: + # Activity is newer than target - skip it + if not await self._advance_to_next_activity(): + break + continue + + elif self.current_activity_date == target_date: + # Activity matches target date - collect it + activities.append(self.current_activity) + if not await self._advance_to_next_activity(): + break + continue + + else: # self.current_activity_date < target_date + # Activity is older than target - we're done for this date + break + + return activities + diff --git a/src/garmy/mcp/__init__.py b/src/garmy/mcp/__init__.py deleted file mode 100644 index 6ccb30b..0000000 --- a/src/garmy/mcp/__init__.py +++ /dev/null @@ -1,77 +0,0 @@ -"""Garmy MCP (Model Context Protocol) module. - -This module provides MCP server functionality for Garmy, enabling AI assistants -to access Garmin Connect health and fitness data through the standardized MCP protocol. - -Example: - >>> from garmy.mcp import create_server - >>> server = create_server() - >>> server.run() - -Classes: - GarmyMCPServer: Main MCP server implementation. - MCPConfig: Configuration for MCP server. - -Functions: - create_server: Factory function to create a configured MCP server. - run_server: Convenience function to run a server with default settings. -""" - -from typing import Optional - -from .config import MCPConfig -from .server import GarmyMCPServer - - -def create_server(config: Optional[MCPConfig] = None) -> GarmyMCPServer: - """Create a configured Garmy MCP server. - - Args: - config: Optional configuration. Uses defaults if not provided. - - Returns: - Configured GarmyMCPServer instance. - - Example: - >>> from garmy.mcp import create_server - >>> server = create_server() - >>> server.run() - """ - if config is None: - config = MCPConfig() - - return GarmyMCPServer(config) - - -def run_server( - transport: str = "stdio", - host: str = "127.0.0.1", - port: int = 8000, - path: str = "/mcp", - config: Optional[MCPConfig] = None, -) -> None: - """Create and run a Garmy MCP server with the specified transport. - - Args: - transport: Transport type ("stdio" or "http"). - host: Host for HTTP transport. - port: Port for HTTP transport. - path: Path for HTTP transport. - config: Optional server configuration. - - Example: - >>> from garmy.mcp import run_server - >>> run_server("stdio") # For Claude Desktop - >>> run_server("http", port=8080) # For HTTP clients - """ - server = create_server(config) - - if transport == "http": - server.run(transport="streamable-http", host=host, port=port, path=path) - elif transport == "stdio": - server.run(transport="stdio") - else: - raise ValueError(f"Unknown transport: {transport}. Use 'stdio' or 'http'") - - -__all__ = ["GarmyMCPServer", "MCPConfig", "create_server", "run_server"] diff --git a/src/garmy/mcp/__main__.py b/src/garmy/mcp/__main__.py deleted file mode 100644 index 1af63d8..0000000 --- a/src/garmy/mcp/__main__.py +++ /dev/null @@ -1,10 +0,0 @@ -"""Entry point for running Garmy MCP CLI as a module. - -This allows the MCP CLI to be executed using: - python -m garmy.mcp.cli -""" - -from .cli import main - -if __name__ == "__main__": - main() diff --git a/src/garmy/mcp/cli.py b/src/garmy/mcp/cli.py deleted file mode 100644 index ed7d8b6..0000000 --- a/src/garmy/mcp/cli.py +++ /dev/null @@ -1,159 +0,0 @@ -"""CLI for Garmy MCP server. - -Provides command-line interface for running and managing the MCP server. -""" - -import logging -from typing import Optional - -import click - -from .config import ConfigManager, MCPConfig -from .server import GarmyMCPServer - - -@click.group() -@click.option("--debug", is_flag=True, help="Enable debug logging") -@click.option("--config-file", type=click.Path(exists=True), help="Path to config file") -@click.pass_context -def cli(ctx: click.Context, debug: bool, config_file: Optional[str]): - """Garmy MCP Server CLI. - - Manage and run MCP servers for Garmin Connect health data. - """ - # Setup logging - if debug: - logging.basicConfig(level=logging.DEBUG) - else: - logging.basicConfig(level=logging.INFO) - - # Load configuration - config = MCPConfig() if config_file else ConfigManager.load_from_env() - - # Store in context - ctx.ensure_object(dict) - ctx.obj["config"] = config - - -@cli.command() -@click.option( - "--transport", - type=click.Choice(["stdio", "http"]), - default="stdio", - help="Transport protocol", -) -@click.option("--host", default="127.0.0.1", help="Host for HTTP transport") -@click.option("--port", default=8000, help="Port for HTTP transport") -@click.option("--path", default="/mcp", help="Path for HTTP transport") -@click.pass_context -def run(ctx: click.Context, transport: str, host: str, port: int, path: str): - """Run the MCP server.""" - config = ctx.obj["config"] - - # Suppress output for MCP stdio to avoid JSON parsing issues - if transport != "stdio": - click.echo("Starting Garmy MCP Server") - click.echo(f"Transport: {transport}") - - server = GarmyMCPServer(config) - - try: - if transport == "stdio": - server.run(transport="stdio") - elif transport == "http": - click.echo(f"HTTP Server: http://{host}:{port}{path}") - server.run(transport="streamable-http", host=host, port=port, path=path) - except KeyboardInterrupt: - if transport != "stdio": - click.echo("\nServer stopped") - except Exception as e: - click.echo(f"Error: {e}", err=True) - raise click.Abort() from e - - -@cli.command() -@click.pass_context -def info(ctx: click.Context): - """Show server information.""" - config = ctx.obj["config"] - - click.echo("Garmy MCP Server Information") - click.echo("=" * 40) - click.echo(f"Server Name: {config.server_name}") - click.echo(f"Version: {config.server_version}") - click.echo() - - click.echo("Features:") - click.echo(f" Auth Tools: {config.enable_auth_tools}") - click.echo(f" Metric Tools: {config.enable_metric_tools}") - click.echo(f" Analysis Tools: {config.enable_analysis_tools}") - click.echo(f" Resources: {config.enable_resources}") - click.echo(f" Prompts: {config.enable_prompts}") - click.echo() - - click.echo("Limits:") - click.echo(f" Max History Days: {config.max_history_days}") - click.echo(f" Analysis Period: {config.default_analysis_period}") - click.echo(f" Cache: {'Enabled' if config.cache_enabled else 'Disabled'}") - if config.cache_enabled: - click.echo(f" Cache Size: {config.cache_size}") - - -@cli.command() -@click.pass_context -def metrics(ctx: click.Context): - """List available metrics.""" - from ..core.discovery import MetricDiscovery - - try: - discovered_metrics = MetricDiscovery.discover_metrics() - MetricDiscovery.validate_metrics(discovered_metrics) - - click.echo(f"Available Metrics ({len(discovered_metrics)})") - click.echo("=" * 40) - - for name, config in discovered_metrics.items(): - status = " (DEPRECATED)" if config.deprecated else "" - click.echo(f"{name}{status}") - click.echo(f" Class: {config.metric_class.__name__}") - click.echo(f" Endpoint: {config.endpoint or 'Dynamic'}") - if config.description: - click.echo(f" Description: {config.description}") - click.echo() - - except Exception as e: - click.echo(f"Error discovering metrics: {e}", err=True) - raise click.Abort() from e - - -@cli.command() -@click.option( - "--profile", - type=click.Choice(["development", "production", "minimal"]), - help="Configuration profile", -) -def config(profile: Optional[str]): - """Show or generate configuration.""" - if profile: - if profile == "development": - config = MCPConfig.for_development() - elif profile == "production": - config = MCPConfig.for_production() - elif profile == "minimal": - config = MCPConfig.minimal() - - click.echo(f"{profile.title()} Configuration:") - click.echo("=" * 40) - click.echo(f"Server Name: {config.server_name}") - click.echo(f"Debug Mode: {config.debug_mode}") - click.echo(f"Cache Enabled: {config.cache_enabled}") - click.echo(f"Cache Size: {config.cache_size}") - click.echo(f"Max History Days: {config.max_history_days}") - else: - click.echo("Available profiles: development, production, minimal") - click.echo("Use --profile to see configuration details") - - -def main(): - """Entry point for CLI.""" - cli() diff --git a/src/garmy/mcp/config.py b/src/garmy/mcp/config.py deleted file mode 100644 index 16b7beb..0000000 --- a/src/garmy/mcp/config.py +++ /dev/null @@ -1,205 +0,0 @@ -"""Configuration for Garmy MCP server. - -This module provides configuration classes and utilities for customizing -the behavior of the Garmy MCP server. -""" - -from dataclasses import dataclass, field -from typing import Any, Dict, Optional - - -@dataclass -class MCPConfig: - """Configuration for Garmy MCP server. - - Attributes: - server_name: Name of the MCP server. - server_version: Version of the MCP server. - enable_auth_tools: Whether to enable authentication tools. - enable_metric_tools: Whether to enable metric access tools. - enable_analysis_tools: Whether to enable data analysis tools. - enable_resources: Whether to enable MCP resources. - enable_prompts: Whether to enable MCP prompts. - cache_enabled: Whether to enable data caching. - cache_size: Maximum number of cached items. - max_history_days: Maximum days for historical data requests. - default_analysis_period: Default period for analysis tools (days). - custom_tool_config: Custom configuration for tools. - debug_mode: Whether to enable debug logging. - """ - - # Server identification - server_name: str = "Garmy Health & Fitness Server" - server_version: str = "1.0.0" - - # Feature toggles - enable_auth_tools: bool = True - enable_metric_tools: bool = True - enable_analysis_tools: bool = True - enable_resources: bool = True - enable_prompts: bool = True - - # Performance settings - cache_enabled: bool = False - cache_size: int = 100 - - # Data limits - max_history_days: int = 365 - default_analysis_period: int = 30 - - # Custom configuration - custom_tool_config: Dict[str, Any] = field(default_factory=dict) - - # Development settings - debug_mode: bool = False - - def __post_init__(self): - """Validate configuration after initialization.""" - if self.max_history_days <= 0: - raise ValueError("max_history_days must be positive") - - if self.default_analysis_period <= 0: - raise ValueError("default_analysis_period must be positive") - - if self.cache_size <= 0: - raise ValueError("cache_size must be positive") - - @classmethod - def for_development(cls) -> "MCPConfig": - """Create a configuration optimized for development. - - Returns: - MCPConfig with development-friendly settings. - """ - return cls( - debug_mode=True, cache_enabled=True, cache_size=50, max_history_days=90 - ) - - @classmethod - def for_production(cls) -> "MCPConfig": - """Create a configuration optimized for production. - - Returns: - MCPConfig with production-ready settings. - """ - return cls( - debug_mode=False, cache_enabled=True, cache_size=200, max_history_days=365 - ) - - @classmethod - def minimal(cls) -> "MCPConfig": - """Create a minimal configuration with only basic features. - - Returns: - MCPConfig with minimal feature set. - """ - return cls( - enable_analysis_tools=False, - enable_resources=False, - enable_prompts=False, - cache_enabled=False, - max_history_days=30, - ) - - -@dataclass -class ToolConfig: - """Configuration for individual MCP tools. - - Attributes: - enabled: Whether the tool is enabled. - rate_limit: Maximum calls per minute (0 = no limit). - timeout_seconds: Timeout for tool execution. - custom_params: Custom parameters for the tool. - """ - - enabled: bool = True - rate_limit: int = 0 # 0 = no limit - timeout_seconds: int = 30 - custom_params: Dict[str, Any] = field(default_factory=dict) - - -class ConfigManager: - """Manager for MCP server configuration. - - Provides utilities for loading, validating, and updating configuration. - """ - - @staticmethod - def load_from_env() -> MCPConfig: - """Load configuration from environment variables. - - Environment variables: - GARMY_MCP_DEBUG: Enable debug mode (true/false). - GARMY_MCP_CACHE_ENABLED: Enable caching (true/false). - GARMY_MCP_CACHE_SIZE: Cache size (integer). - GARMY_MCP_MAX_HISTORY_DAYS: Max history days (integer). - GARMIN_EMAIL: Garmin Connect email (for auto-authentication). - GARMIN_PASSWORD: Garmin Connect password (for auto-authentication). - - Returns: - MCPConfig loaded from environment. - """ - import os - - def get_bool(key: str, default: bool) -> bool: - value = os.getenv(key, "").lower() - if value in ("true", "1", "yes", "on"): - return True - elif value in ("false", "0", "no", "off"): - return False - return default - - def get_int(key: str, default: int) -> int: - try: - return int(os.getenv(key, str(default))) - except ValueError: - return default - - return MCPConfig( - debug_mode=get_bool("GARMY_MCP_DEBUG", False), - cache_enabled=get_bool("GARMY_MCP_CACHE_ENABLED", False), - cache_size=get_int("GARMY_MCP_CACHE_SIZE", 100), - max_history_days=get_int("GARMY_MCP_MAX_HISTORY_DAYS", 365), - default_analysis_period=get_int("GARMY_MCP_DEFAULT_ANALYSIS_PERIOD", 30), - ) - - @staticmethod - def validate_config(config: MCPConfig) -> None: - """Validate MCP configuration. - - Args: - config: Configuration to validate. - - Raises: - ValueError: If configuration is invalid. - """ - if not config.server_name.strip(): - raise ValueError("server_name cannot be empty") - - if not config.server_version.strip(): - raise ValueError("server_version cannot be empty") - - # Additional validation happens in MCPConfig.__post_init__ - - @staticmethod - def get_garmin_credentials() -> tuple[Optional[str], Optional[str]]: - """Get Garmin Connect credentials from environment variables. - - Returns: - Tuple of (email, password) from environment variables. - Both may be None if not set in environment. - """ - import os - - return os.getenv("GARMIN_EMAIL"), os.getenv("GARMIN_PASSWORD") - - @staticmethod - def has_garmin_credentials() -> bool: - """Check if Garmin Connect credentials are available in environment. - - Returns: - True if both email and password are set in environment. - """ - email, password = ConfigManager.get_garmin_credentials() - return bool(email and password) diff --git a/src/garmy/mcp/prompts/__init__.py b/src/garmy/mcp/prompts/__init__.py deleted file mode 100644 index 1098dbc..0000000 --- a/src/garmy/mcp/prompts/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -"""MCP Prompts for Garmy. - -This module provides prompt template implementations for the Garmy MCP server, -helping AI assistants with health data analysis. -""" - -from .templates import PromptTemplates - -__all__ = ["PromptTemplates"] diff --git a/src/garmy/mcp/prompts/templates.py b/src/garmy/mcp/prompts/templates.py deleted file mode 100644 index 7758c28..0000000 --- a/src/garmy/mcp/prompts/templates.py +++ /dev/null @@ -1,133 +0,0 @@ -"""Prompt templates for Garmy MCP server. - -Provides structured prompt templates for health data analysis. -""" - -import logging -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from fastmcp import FastMCP - - from ..server import GarmyMCPServer - -logger = logging.getLogger(__name__) - - -class PromptTemplates: - """Prompt templates for MCP server.""" - - def __init__(self, server: "GarmyMCPServer"): - """Initialize prompt templates. - - Args: - server: The parent MCP server instance. - """ - self.server = server - - def register_prompts(self, mcp: "FastMCP"): - """Register prompts with the MCP server. - - Args: - mcp: FastMCP server instance to register prompts with. - """ - - @mcp.prompt() - def analyze_health_data(metric_type: str, time_period: str = "week") -> str: - """Generate a prompt for analyzing health data. - - Args: - metric_type: Type of metric (sleep, steps, heart_rate, etc.). - time_period: Analysis period (day, week, month). - """ - return f""" -Analyze the {metric_type} data for the past {time_period} and provide: - -1. **Key Metrics**: averages, minimums, maximums -2. **Trends**: improvement or decline patterns -3. **Patterns**: regularity, anomalies -4. **Recommendations**: specific advice for health improvement -5. **Goals**: suggested targets for next period - -Make the analysis clear and actionable, with specific numbers and recommendations. -""" - - @mcp.prompt() - def health_summary_request(period_days: int = 7) -> str: - """Prompt for creating a comprehensive health summary. - - Args: - period_days: Number of days for the summary. - """ - return f""" -Create a comprehensive health and fitness summary for the last {period_days} days: - -**Include these sections:** - -1. **๐Ÿ’ค Sleep**: quality, duration, patterns -2. **๐Ÿšถ Activity**: steps, distance, calories -3. **โค๏ธ Cardio**: resting heart rate, variability, zones -4. **๐Ÿ˜ฐ Stress**: levels, recovery, balance -5. **๐Ÿ”‹ Energy**: Body Battery, charging/draining trends -6. **๐Ÿƒ Readiness**: training readiness, contributing factors - -**For each section provide:** -- Key metrics and trends -- Comparison with previous period -- Improvement recommendations -- Risk warnings - -Make the summary personal and actionable. -""" - - @mcp.prompt() - def training_analysis_request(metric_focus: str = "training_readiness") -> str: - """Prompt for training-focused analysis. - - Args: - metric_focus: Primary metric to focus on. - """ - return f""" -Analyze training and recovery data with focus on {metric_focus}: - -**Training Analysis:** -1. **Readiness Trends**: daily scores and factors -2. **Recovery Patterns**: sleep, HRV, stress impact -3. **Training Load**: acute vs chronic workload -4. **Performance Indicators**: heart rate zones, recovery time - -**Recommendations:** -1. **Training Schedule**: when to push vs rest -2. **Recovery Strategies**: sleep, stress management -3. **Performance Optimization**: training intensity guidance -4. **Risk Management**: overtraining prevention - -Focus on actionable insights for athletic performance. -""" - - @mcp.prompt() - def wellness_trend_analysis(metrics: str = "sleep,stress,hrv") -> str: - """Prompt for wellness trend analysis. - - Args: - metrics: Comma-separated list of metrics to analyze. - """ - metric_list = [m.strip() for m in metrics.split(",")] - - return f""" -Analyze wellness trends across multiple metrics: {", ".join(metric_list)} - -**Cross-Metric Analysis:** -1. **Correlations**: how metrics influence each other -2. **Patterns**: weekly/monthly cycles -3. **Triggers**: factors affecting wellness -4. **Recovery**: bounce-back patterns - -**Holistic Recommendations:** -1. **Lifestyle Adjustments**: daily habits -2. **Stress Management**: techniques and timing -3. **Sleep Optimization**: quality improvement -4. **Overall Wellness**: balanced approach - -Provide insights that connect the metrics for comprehensive wellness understanding. -""" diff --git a/src/garmy/mcp/resources/__init__.py b/src/garmy/mcp/resources/__init__.py deleted file mode 100644 index 5a87426..0000000 --- a/src/garmy/mcp/resources/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -"""MCP Resources for Garmy. - -This module provides resource implementations for the Garmy MCP server, -allowing AI assistants to read structured data. -""" - -from .providers import ResourceProviders - -__all__ = ["ResourceProviders"] diff --git a/src/garmy/mcp/resources/providers.py b/src/garmy/mcp/resources/providers.py deleted file mode 100644 index 922273f..0000000 --- a/src/garmy/mcp/resources/providers.py +++ /dev/null @@ -1,95 +0,0 @@ -"""Resource providers for Garmy MCP server. - -Provides structured data resources for AI assistants. -""" - -import json -import logging -from datetime import datetime -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - from fastmcp import FastMCP - - from ..server import GarmyMCPServer - -logger = logging.getLogger(__name__) - - -class ResourceProviders: - """Resource providers for MCP server.""" - - def __init__(self, server: "GarmyMCPServer"): - """Initialize resource providers. - - Args: - server: The parent MCP server instance. - """ - self.server = server - - def register_resources(self, mcp: "FastMCP"): - """Register resources with the MCP server. - - Args: - mcp: FastMCP server instance to register resources with. - """ - - @mcp.resource("garmy://metrics/available") - async def available_metrics_resource(): - """List of all available metrics.""" - metrics_info = [] - for name, config in self.server.discovered_metrics.items(): - metrics_info.append( - { - "name": name, - "description": config.description, - "endpoint": config.endpoint, - "deprecated": config.deprecated, - "class": config.metric_class.__name__, - } - ) - - return json.dumps(metrics_info, indent=2, ensure_ascii=False) - - @mcp.resource("garmy://status/auth") - async def auth_status_resource(): - """Authentication status information.""" - status = { - "authenticated": self.server.is_authenticated(), - "timestamp": datetime.now().isoformat(), - "available_metrics": len(self.server.discovered_metrics), - } - - if self.server.api_client: - try: - status["api_metrics_count"] = len( - list(self.server.api_client.metrics.keys()) - ) - except Exception: - status["api_metrics_count"] = 0 - - return json.dumps(status, indent=2, ensure_ascii=False) - - @mcp.resource("garmy://config/server") - async def server_config_resource(): - """Server configuration information.""" - config_info = { - "server_name": self.server.config.server_name, - "server_version": self.server.config.server_version, - "features": { - "auth_tools": self.server.config.enable_auth_tools, - "metric_tools": self.server.config.enable_metric_tools, - "analysis_tools": self.server.config.enable_analysis_tools, - "resources": self.server.config.enable_resources, - "prompts": self.server.config.enable_prompts, - }, - "limits": { - "max_history_days": self.server.config.max_history_days, - "default_analysis_period": self.server.config.default_analysis_period, - "cache_enabled": self.server.config.cache_enabled, - "cache_size": self.server.config.cache_size, - }, - "debug_mode": self.server.config.debug_mode, - } - - return json.dumps(config_info, indent=2, ensure_ascii=False) diff --git a/src/garmy/mcp/server.py b/src/garmy/mcp/server.py deleted file mode 100644 index 1df03d3..0000000 --- a/src/garmy/mcp/server.py +++ /dev/null @@ -1,353 +0,0 @@ -#!/usr/bin/env python3 -"""Garmy MCP Server implementation. - -This module provides the main MCP server class for Garmy, enabling AI assistants -to access Garmin Connect health and fitness data through the standardized MCP protocol. -""" - -import logging -from typing import Any, Dict, List, Optional, Union - -import anyio -from fastmcp import FastMCP - -try: - from builtins import BaseExceptionGroup # Python 3.11+ -except ImportError: - # Python < 3.11 compatibility - BaseExceptionGroup = Exception - -from .. import APIClient, AuthClient -from ..core.discovery import MetricDiscovery -from .config import MCPConfig -from .prompts import PromptTemplates -from .resources import ResourceProviders -from .tools import AnalysisTools, AuthTools, MetricTools - -logger = logging.getLogger(__name__) - - -class GarmyMCPServer: - """MCP server for Garmy with authentication state management. - - Provides AI assistants access to Garmin Connect data through - the standardized MCP protocol. - - Attributes: - config: Server configuration. - mcp: FastMCP server instance. - auth_client: Garmin authentication client. - api_client: Garmin API client. - discovered_metrics: Discovered health metrics. - """ - - def __init__(self, config: Optional[MCPConfig] = None): - """Initialize MCP server. - - Args: - config: Server configuration. Uses defaults if not provided. - """ - self.config = config or MCPConfig() - self.mcp = FastMCP(self.config.server_name) - - # Authentication state - self.auth_client: Optional[AuthClient] = None - self.api_client: Optional[APIClient] = None - - # Discovered metrics - self.discovered_metrics: Dict[str, Any] = {} - - # Setup logging - if self.config.debug_mode: - logging.basicConfig(level=logging.DEBUG) - - # Initialize components - self._initialize_components() - - def _initialize_components(self): - """Initialize all server components.""" - # Discover metrics - self._discover_metrics() - - # Register components according to configuration - if self.config.enable_auth_tools: - self._register_auth_tools() - - if self.config.enable_metric_tools: - self._register_metric_tools() - - if self.config.enable_analysis_tools: - self._register_analysis_tools() - - if self.config.enable_resources: - self._register_resources() - - if self.config.enable_prompts: - self._register_prompts() - - def _discover_metrics(self): - """Discover all available metrics.""" - try: - self.discovered_metrics = MetricDiscovery.discover_metrics() - MetricDiscovery.validate_metrics(self.discovered_metrics) - logger.info(f"Discovered {len(self.discovered_metrics)} metrics") - except Exception as e: - logger.error(f"Error discovering metrics: {e}") - self.discovered_metrics = {} - - def _register_auth_tools(self): - """Register authentication tools.""" - auth_tools = AuthTools(self) - auth_tools.register_tools(self.mcp) - - def _register_metric_tools(self): - """Register metric access tools.""" - metric_tools = MetricTools(self) - metric_tools.register_tools(self.mcp) - - def _register_analysis_tools(self): - """Register data analysis tools.""" - analysis_tools = AnalysisTools(self) - analysis_tools.register_tools(self.mcp) - - def _register_resources(self): - """Register data reading resources.""" - resource_providers = ResourceProviders(self) - resource_providers.register_resources(self.mcp) - - def _register_prompts(self): - """Register prompt templates.""" - prompt_templates = PromptTemplates(self) - prompt_templates.register_prompts(self.mcp) - - def authenticate(self, email: str, password: str) -> bool: - """Perform authentication with Garmin Connect. - - Args: - email: Email address. - password: Password. - - Returns: - True if authentication successful, False otherwise. - """ - try: - self.auth_client = AuthClient() - self.api_client = APIClient(auth_client=self.auth_client) - self.auth_client.login(email, password) - return True - except Exception as e: - logger.error(f"Authentication failed: {e}") - self.auth_client = None - self.api_client = None - return False - - def logout(self): - """Perform logout from system.""" - self.auth_client = None - self.api_client = None - logger.info("Logged out from Garmin Connect") - - def is_authenticated(self) -> bool: - """Check if user is authenticated. - - Returns: - True if user is authenticated. - """ - return bool(self.auth_client and self.api_client) - - def _validate_authentication(self) -> None: - """Validate that user is authenticated. - - Raises: - ValueError: If user is not authenticated. - """ - if not self.is_authenticated(): - raise ValueError("Authentication required") - - def _validate_metric_name(self, metric_name: str) -> None: - """Validate that metric name exists. - - Args: - metric_name: Name of the metric to validate. - - Raises: - ValueError: If metric name is not found. - """ - if metric_name not in self.api_client.metrics: - available = list(self.api_client.metrics.keys()) - raise ValueError(f"Unknown metric '{metric_name}'. Available: {available}") - - def get_metric_data( - self, metric_name: str, date_input: Optional[Union[str]] = None - ) -> Any: - """Get metric data for specified date. - - Args: - metric_name: Name of the metric. - date_input: Date (defaults to today). - - Returns: - Metric data or None. - - Raises: - ValueError: If user not authenticated or metric not found. - """ - self._validate_authentication() - self._validate_metric_name(metric_name) - return self.api_client.metrics[metric_name].get(date_input) - - def get_metric_history( - self, metric_name: str, days: int = 7, end_date: Optional[str] = None - ) -> List[Any]: - """Get historical metric data. - - Args: - metric_name: Name of the metric. - days: Number of days. - end_date: End date (defaults to today). - - Returns: - List of metric data. - - Raises: - ValueError: If user not authenticated or metric not found. - """ - self._validate_authentication() - self._validate_metric_name(metric_name) - - # Limit days according to configuration - days = min(days, self.config.max_history_days) - - return self.api_client.metrics[metric_name].list(end=end_date, days=days) - - def format_metric_data( - self, data: Any, metric_name: str, compact: bool = False - ) -> str: - """Format metric data for display using generic approach. - - Args: - data: Metric data object. - metric_name: Name of the metric. - compact: Compact display mode (currently unused, kept for compatibility). - - Returns: - Formatted string using object's __str__ method or fallback. - """ - if not data: - return "No data" - - try: - # Use object's __str__ method if available and meaningful - if hasattr(data, "__str__") and not isinstance( - data, (str, int, float, bool) - ): - formatted = str(data) - # Check if __str__ was overridden (not default object.__str__) - if formatted and formatted != object.__str__(data): - return formatted - - # Fallback for objects with useful attributes - return self._format_object_attributes(data, compact) - - except Exception as e: - logger.error(f"Error formatting {metric_name} data: {e}") - return f"Formatting error: {e!s}" - - def _format_object_attributes(self, data: Any, compact: bool) -> str: - """Generic object attribute formatting as fallback. - - Args: - data: Object to format. - compact: Whether to use compact formatting. - - Returns: - Formatted string showing object attributes. - """ - if hasattr(data, "__dict__"): - fields = data.__dict__ - result = [] - max_fields = 3 if compact else 8 - - for key, value in list(fields.items())[:max_fields]: - if value is not None and not key.startswith("_"): - # Format value appropriately - if isinstance(value, float): - formatted_value = f"{value:.1f}" - elif isinstance(value, int) and value > 1000: - formatted_value = f"{value:,}" - else: - formatted_value = str(value) - - result.append( - f"โ€ข {key.replace('_', ' ').title()}: {formatted_value}" - ) - - return "\n".join(result) if result else "Data available" - else: - return str(data) - - def run(self, transport: str = "stdio", **kwargs): - """Start MCP server. - - Args: - transport: Transport type ("stdio" or "streamable-http"). - **kwargs: Additional transport parameters. - """ - # Only print debug info if explicitly in debug mode to avoid MCP protocol interference - if self.config.debug_mode: - self._log_debug("Starting Garmy MCP Server...") - self._log_debug(f"Transport: {transport}") - self._log_debug(f"Discovered metrics: {len(self.discovered_metrics)}") - self._log_debug("Server ready!") - - try: - self.mcp.run(transport=transport, **kwargs) - except BaseExceptionGroup as eg: - # Handle exception groups from anyio TaskGroup - has_broken_resource = any( - isinstance(exc, anyio.BrokenResourceError) for exc in eg.exceptions - ) - if has_broken_resource and self.config.debug_mode: - self._log_debug("MCP client disconnected (normal)") - if not has_broken_resource: - # Only re-raise if there are serious errors, not just disconnections - self._log_error( - f"Error in MCP server: {eg}", eg if self.config.debug_mode else None - ) - raise - except anyio.BrokenResourceError: - # Normal client disconnection - if self.config.debug_mode: - self._log_debug("MCP client disconnected (normal)") - except Exception as e: - self._log_error( - f"Error running MCP server: {e}", e if self.config.debug_mode else None - ) - raise - - def _log_error(self, message: str, exception: Optional[Exception] = None) -> None: - """Log error message with optional traceback. - - Args: - message: Error message to log. - exception: Optional exception for traceback. - """ - # Use stderr for logging to avoid MCP protocol interference - import sys - - sys.stderr.write(f"{message}\n") - sys.stderr.flush() - if exception and self.config.debug_mode: - import traceback - - traceback.print_exception( - type(exception), exception, exception.__traceback__, file=sys.stderr - ) - - def _log_debug(self, message: str) -> None: - """Log debug message to stderr if debug mode is enabled.""" - if self.config.debug_mode: - import sys - - sys.stderr.write(f"DEBUG: {message}\n") - sys.stderr.flush() diff --git a/src/garmy/mcp/tools/__init__.py b/src/garmy/mcp/tools/__init__.py deleted file mode 100644 index dcf284e..0000000 --- a/src/garmy/mcp/tools/__init__.py +++ /dev/null @@ -1,12 +0,0 @@ -""" -MCP Tools for Garmy. - -This module provides tool implementations for the Garmy MCP server, -organized by functionality. -""" - -from .analysis import AnalysisTools -from .auth import AuthTools -from .metrics import MetricTools - -__all__ = ["AnalysisTools", "AuthTools", "MetricTools"] diff --git a/src/garmy/mcp/tools/analysis.py b/src/garmy/mcp/tools/analysis.py deleted file mode 100644 index 06a0392..0000000 --- a/src/garmy/mcp/tools/analysis.py +++ /dev/null @@ -1,190 +0,0 @@ -"""Data analysis tools for Garmy MCP server. - -Provides tools for analyzing health and fitness trends. -""" - -import logging -from datetime import date, timedelta -from typing import TYPE_CHECKING - -from fastmcp import Context - -if TYPE_CHECKING: - from fastmcp import FastMCP - - from ..server import GarmyMCPServer - -logger = logging.getLogger(__name__) - - -class AnalysisTools: - """Data analysis tools for MCP server.""" - - def __init__(self, server: "GarmyMCPServer"): - """Initialize analysis tools. - - Args: - server: The parent MCP server instance. - """ - self.server = server - - def register_tools(self, mcp: "FastMCP"): - """Register analysis tools with the MCP server. - - Args: - mcp: FastMCP server instance to register tools with. - """ - - @mcp.tool() - async def analyze_sleep_trends(days: int = 30, ctx: Context = None) -> str: - """Analyze sleep trends over a specified period. - - Args: - days: Number of days to analyze (default 30). - """ - if not self.server.is_authenticated(): - return "Authentication required." - - try: - await ctx.info(f"Analyzing sleep trends for {days} days") - - sleep_data = self.server.get_metric_history("sleep", days) - - if not sleep_data: - return "No sleep data available for analysis" - - # Analyze data - durations = [] - deep_sleep_percentages = [] - - for sleep in sleep_data: - if ( - hasattr(sleep, "sleep_duration_hours") - and sleep.sleep_duration_hours - ): - durations.append(sleep.sleep_duration_hours) - if ( - hasattr(sleep, "deep_sleep_percentage") - and sleep.deep_sleep_percentage - ): - deep_sleep_percentages.append(sleep.deep_sleep_percentage) - - result = f"**Sleep Analysis for {days} days** ({len(sleep_data)} records):\n\n" - - if durations: - avg_duration = sum(durations) / len(durations) - min_duration = min(durations) - max_duration = max(durations) - - result += "**Sleep Duration:**\n" - result += f"โ€ข Average: {avg_duration:.1f} hours\n" - result += f"โ€ข Minimum: {min_duration:.1f} hours\n" - result += f"โ€ข Maximum: {max_duration:.1f} hours\n\n" - - if deep_sleep_percentages: - avg_deep = sum(deep_sleep_percentages) / len(deep_sleep_percentages) - result += "**Deep Sleep:**\n" - result += f"โ€ข Average percentage: {avg_deep:.1f}%\n\n" - - result += "**Recommendations:**\n" - if durations and avg_duration < 7: - result += "โ€ข Average sleep duration below recommended (7-9 hours)\n" - elif durations and avg_duration >= 7: - result += "โ€ข Good average sleep duration\n" - - await ctx.info("Sleep analysis completed") - return result - - except Exception as e: - await ctx.error(f"Analysis error: {e!s}") - return f"Analysis error: {e!s}" - - @mcp.tool() - async def compare_metrics( - metric_name: str, - period1_days: int = 7, - period2_days: int = 7, - ctx: Context = None, - ) -> str: - """Compare a metric between two time periods. - - Args: - metric_name: Name of the metric to compare. - period1_days: Days for first period (recent). - period2_days: Days for second period (previous). - """ - if not self.server.is_authenticated(): - return "Authentication required." - - try: - await ctx.info(f"Comparing {metric_name} between periods") - - # Get data for both periods - today = date.today() - - # Period 1 (recent days) - period1_data = self.server.get_metric_history( - metric_name, period1_days, today - ) - - # Period 2 (previous days) - period2_end = today - timedelta(days=period1_days) - period2_data = self.server.get_metric_history( - metric_name, period2_days, period2_end - ) - - result = f"**{metric_name.replace('_', ' ').title()} Comparison**:\n\n" - result += f"**Period 1** (last {period1_days} days): {len(period1_data)} records\n" - result += f"**Period 2** (previous {period2_days} days): {len(period2_data)} records\n\n" - - # Analyze key metrics based on metric type - if metric_name == "steps": - p1_steps = [ - getattr(d, "total_steps", 0) - for d in period1_data - if hasattr(d, "total_steps") - ] - p2_steps = [ - getattr(d, "total_steps", 0) - for d in period2_data - if hasattr(d, "total_steps") - ] - - if p1_steps and p2_steps: - avg1 = sum(p1_steps) / len(p1_steps) - avg2 = sum(p2_steps) / len(p2_steps) - change = ((avg1 - avg2) / avg2) * 100 if avg2 > 0 else 0 - - result += "**Average Steps:**\n" - result += f"โ€ข Period 1: {avg1:,.0f} steps\n" - result += f"โ€ข Period 2: {avg2:,.0f} steps\n" - result += f"โ€ข Change: {change:+.1f}%\n" - - elif metric_name == "sleep": - p1_duration = [ - getattr(d, "sleep_duration_hours", 0) - for d in period1_data - if hasattr(d, "sleep_duration_hours") and d.sleep_duration_hours - ] - p2_duration = [ - getattr(d, "sleep_duration_hours", 0) - for d in period2_data - if hasattr(d, "sleep_duration_hours") and d.sleep_duration_hours - ] - - if p1_duration and p2_duration: - avg1 = sum(p1_duration) / len(p1_duration) - avg2 = sum(p2_duration) / len(p2_duration) - change = avg1 - avg2 - - result += "**Average Sleep Duration:**\n" - result += f"โ€ข Period 1: {avg1:.1f} hours\n" - result += f"โ€ข Period 2: {avg2:.1f} hours\n" - result += f"โ€ข Change: {change:+.1f} hours\n" - - await ctx.info("Comparison completed") - return result - - except Exception as e: - await ctx.error(f"Comparison error: {e!s}") - return f"Comparison error: {e!s}" diff --git a/src/garmy/mcp/tools/auth.py b/src/garmy/mcp/tools/auth.py deleted file mode 100644 index 0769cf9..0000000 --- a/src/garmy/mcp/tools/auth.py +++ /dev/null @@ -1,165 +0,0 @@ -"""Authentication tools for Garmy MCP server. - -Provides tools for logging in/out of Garmin Connect and checking authentication status. -""" - -import logging -from typing import TYPE_CHECKING - -from fastmcp import Context - -if TYPE_CHECKING: - from fastmcp import FastMCP - - from ..server import GarmyMCPServer - -logger = logging.getLogger(__name__) - - -class AuthTools: - """Authentication tools for MCP server.""" - - def __init__(self, server: "GarmyMCPServer"): - """ - Initialize authentication tools. - - Args: - server: The parent MCP server instance - """ - self.server = server - - def _resolve_credentials(self, email: str, password: str) -> tuple[str, str, bool]: - """Resolve final credentials and determine source. - - Args: - email: Provided email (may be empty). - password: Provided password (may be empty). - - Returns: - Tuple of (final_email, final_password, is_manual). - - Raises: - ValueError: If no credentials are available. - """ - from ..config import ConfigManager - - # Use provided credentials or fall back to environment variables - final_email = email or None - final_password = password or None - - if not final_email or not final_password: - env_email, env_password = ConfigManager.get_garmin_credentials() - final_email = final_email or env_email - final_password = final_password or env_password - - if not final_email or not final_password: - raise ValueError( - "No credentials provided. Either provide email and password manually or set GARMIN_EMAIL and GARMIN_PASSWORD environment variables." - ) - - is_manual = bool(email and password) - return final_email, final_password, is_manual - - def _mask_email(self, email: str) -> str: - """Mask email for secure logging.""" - if "@" not in email: - return "***" - parts = email.split("@") - return f"{parts[0][:3]}***@{parts[1]}" - - def register_tools(self, mcp: "FastMCP"): - """ - Register authentication tools with the MCP server. - - Args: - mcp: FastMCP server instance to register tools with - """ - - @mcp.tool() - async def garmin_login( - ctx: Context, email: str = "", password: str = "" - ) -> str: - """Log into Garmin Connect with credentials. - - Will automatically use environment variables GARMIN_EMAIL and GARMIN_PASSWORD - if no credentials are provided manually. - - Args: - email: Garmin Connect email address (optional if set in environment). - password: Garmin Connect password (optional if set in environment). - """ - try: - final_email, final_password, is_manual = self._resolve_credentials( - email, password - ) - masked_email = self._mask_email(final_email) - - # Log attempt with security warning - await ctx.info(f"Attempting login for user: {masked_email}") - if is_manual: - await ctx.info( - "WARNING: Credentials passed manually may be visible to Anthropic servers" - ) - else: - await ctx.info( - "Using credentials from environment variables (secure)" - ) - - success = self.server.authenticate(final_email, final_password) - - if success: - await ctx.info("Successfully logged into Garmin Connect") - source = "manual input" if is_manual else "environment variables" - return f"Successfully logged into Garmin Connect using {source}. All health metrics are now available." - else: - await ctx.error("Login failed") - return "Login failed. Please check your credentials." - - except ValueError as e: - await ctx.error("No credentials provided") - return f"Authentication failed: {e!s}" - except Exception as e: - await ctx.error(f"Login error: {e!s}") - return f"Login error: {e!s}" - - @mcp.tool() - async def garmin_auto_login(ctx: Context) -> str: - """Automatically log into Garmin Connect using environment variables. - - Uses GARMIN_EMAIL and GARMIN_PASSWORD environment variables. - This is the most secure way to authenticate as credentials never - pass through Claude/Anthropic servers. - """ - # Delegate to garmin_login with empty credentials (will use env vars) - return await garmin_login(ctx, "", "") - - @mcp.tool() - async def garmin_logout(ctx: Context) -> str: - """Log out of Garmin Connect.""" - try: - if self.server.is_authenticated(): - self.server.logout() - await ctx.info("Logged out of Garmin Connect") - return "Successfully logged out." - else: - return "User was not authenticated." - except Exception as e: - await ctx.error(f"Logout error: {e!s}") - return f"Logout error: {e!s}" - - @mcp.tool() - async def check_auth_status(ctx: Context) -> str: - """Check authentication status.""" - if self.server.is_authenticated(): - try: - # Check API availability by getting metrics list - available_metrics = list(self.server.api_client.metrics.keys()) - await ctx.info( - f"Authenticated. Available metrics: {len(available_metrics)}" - ) - return f"Authenticated with Garmin Connect. {len(available_metrics)} metrics available." - except Exception as e: - await ctx.warning(f"Authentication issues: {e}") - return f"Possible authentication issues: {e}" - else: - return "Not authenticated. Use garmin_login to log in." diff --git a/src/garmy/mcp/tools/metrics.py b/src/garmy/mcp/tools/metrics.py deleted file mode 100644 index 37d52ad..0000000 --- a/src/garmy/mcp/tools/metrics.py +++ /dev/null @@ -1,716 +0,0 @@ -"""Metric access tools for Garmy MCP server. - -Provides tools for accessing and querying Garmin health metrics. -""" - -import csv -import io -import json -import logging -from dataclasses import dataclass -from datetime import date, datetime, timedelta -from typing import TYPE_CHECKING, Any, List, Optional - -from fastmcp import Context - -if TYPE_CHECKING: - from fastmcp import FastMCP - - from ..server import GarmyMCPServer - -logger = logging.getLogger(__name__) - - -@dataclass -class DatedMetricData: - """Wrapper for metric data with associated date.""" - - date: date - data: Any - - def __str__(self) -> str: - """Format dated metric data for display.""" - if self.data is None: - return f"**{self.date}**: No data" - - # Special formatting for activities - if isinstance(self.data, dict) and "activities" in self.data: - return self._format_activities_data() - - # Standard formatting for other metrics - data_str = str(self.data) - return f"**{self.date}**:\n{data_str}" - - def _format_activities_data(self) -> str: - """Format activities data for display.""" - activities = self.data["activities"] - count = self.data["count"] - - if count == 0: - return f"**{self.date}**: No activities" - - result = f"**{self.date}**: {count} activit{'y' if count == 1 else 'ies'}\n" - - for i, activity in enumerate(activities, 1): - # Get activity details - name = activity.activity_name or "Unnamed Activity" - activity_type = getattr(activity, "activity_type_name", "Unknown") - duration_min = getattr(activity, "duration_minutes", 0) - - result += f" {i}. {name} ({activity_type})" - if duration_min: - result += f" - {duration_min:.0f} min" - if hasattr(activity, "average_hr") and activity.average_hr: - result += f" - {activity.average_hr:.0f} bpm avg" - result += "\n" - - return result.rstrip() - - -class MetricTools: - """Metric access tools for MCP server.""" - - def __init__(self, server: "GarmyMCPServer"): - """Initialize metric tools. - - Args: - server: The parent MCP server instance. - """ - self.server = server - - def _export_to_csv(self, data_list: List[Any], metric_name: str) -> str: - """Export data list to CSV format. - - Args: - data_list: List of metric data objects. - metric_name: Name of the metric for context. - - Returns: - CSV formatted string. - """ - if not data_list: - return "No data to export" - - output = io.StringIO() - - # Get first object to determine fields - first_obj = data_list[0] - - if hasattr(first_obj, "__dict__"): - # Use object attributes as CSV columns - fieldnames = [] - for key in first_obj.__dict__: - if not key.startswith("_"): - fieldnames.append(key) - - writer = csv.DictWriter(output, fieldnames=fieldnames) - writer.writeheader() - - for obj in data_list: - row = {} - for field in fieldnames: - value = getattr(obj, field, None) - # Convert complex objects to string representation - if isinstance(value, (list, dict)): - row[field] = json.dumps(value) - elif value is None: - row[field] = "" - else: - row[field] = str(value) - writer.writerow(row) - - else: - # Fallback for simple objects - writer = csv.writer(output) - writer.writerow([metric_name.replace("_", " ").title()]) - for obj in data_list: - writer.writerow([str(obj)]) - - return output.getvalue() - - def _export_dated_to_csv( - self, dated_data_list: List[DatedMetricData], metric_name: str - ) -> str: - """Export dated data list to CSV format with date column. - - Args: - dated_data_list: List of DatedMetricData objects. - metric_name: Name of the metric for context. - - Returns: - CSV formatted string with date column. - """ - if not dated_data_list: - return "No data to export" - - output = io.StringIO() - - # Special handling for activities - if metric_name == "activities": - return self._export_activities_to_csv(dated_data_list) - - # Filter out entries with no data - valid_data = [d for d in dated_data_list if d.data is not None] - - if not valid_data: - writer = csv.writer(output) - writer.writerow(["date", metric_name.replace("_", " ").title()]) - writer.writerow(["No data available", ""]) - return output.getvalue() - - # Get first valid object to determine fields - first_obj = valid_data[0].data - - if hasattr(first_obj, "__dict__"): - # Use object attributes as CSV columns, with date as first column - fieldnames = ["date"] - for key in first_obj.__dict__: - if not key.startswith("_"): - fieldnames.append(key) - - writer = csv.DictWriter(output, fieldnames=fieldnames) - writer.writeheader() - - for dated_data in reversed(dated_data_list): # Chronological order - if dated_data.data is None: - # Write row with date but empty data - row = {"date": str(dated_data.date)} - for field in fieldnames[1:]: - row[field] = "" - writer.writerow(row) - else: - row = {"date": str(dated_data.date)} - for field in fieldnames[1:]: - value = getattr(dated_data.data, field, None) - # Convert complex objects to string representation - if isinstance(value, (list, dict)): - row[field] = json.dumps(value) - elif value is None: - row[field] = "" - else: - row[field] = str(value) - writer.writerow(row) - else: - # Fallback for simple objects - writer = csv.writer(output) - writer.writerow(["date", metric_name.replace("_", " ").title()]) - for dated_data in reversed(dated_data_list): # Chronological order - if dated_data.data is None: - writer.writerow([str(dated_data.date), "No data"]) - else: - writer.writerow([str(dated_data.date), str(dated_data.data)]) - - return output.getvalue() - - def _export_activities_to_csv(self, dated_data_list: List[DatedMetricData]) -> str: - """Export activities data to CSV format with one row per activity. - - Args: - dated_data_list: List of DatedMetricData objects containing activities. - - Returns: - CSV formatted string with one row per activity. - """ - output = io.StringIO() - - # Collect all activities - all_activities = [] - for dated_data in dated_data_list: - if dated_data.data and "activities" in dated_data.data: - for activity in dated_data.data["activities"]: - all_activities.append(activity) - - if not all_activities: - writer = csv.writer(output) - writer.writerow( - ["date", "activity_name", "activity_type", "duration_minutes"] - ) - writer.writerow(["No activities found", "", "", ""]) - return output.getvalue() - - # Determine fieldnames from first activity - first_activity = all_activities[0] - fieldnames = ["date"] # Always start with date - - if hasattr(first_activity, "__dict__"): - for key in first_activity.__dict__: - if not key.startswith("_"): - fieldnames.append(key) - - writer = csv.DictWriter(output, fieldnames=fieldnames) - writer.writeheader() - - # Write activities sorted by date (chronological order) - activities_with_dates = [] - for dated_data in dated_data_list: - if dated_data.data and "activities" in dated_data.data: - for activity in dated_data.data["activities"]: - activities_with_dates.append((dated_data.date, activity)) - - # Sort by date - activities_with_dates.sort(key=lambda x: x[0]) - - for activity_date, activity in activities_with_dates: - row = {"date": str(activity_date)} - - for field in fieldnames[1:]: - value = getattr(activity, field, None) - if isinstance(value, (list, dict)): - row[field] = json.dumps(value) - elif value is None: - row[field] = "" - else: - row[field] = str(value) - - writer.writerow(row) - - return output.getvalue() - - def _get_metric_history_with_dates( - self, metric_name: str, days: int, end_date: Optional[date] = None - ) -> List[DatedMetricData]: - """Get metric history with date labels. - - Args: - metric_name: Name of the metric. - days: Number of days to fetch. - end_date: End date (defaults to today). - - Returns: - List of DatedMetricData objects. - """ - if end_date is None: - end_date = date.today() - - # Special handling for activities - if metric_name == "activities": - return self._get_activities_history_with_dates(days, end_date) - - # Generate date list (most recent first) - dates = [end_date - timedelta(days=i) for i in range(days)] - - # Get metric data for each date - dated_data = [] - for target_date in dates: - try: - data = self.server.get_metric_data(metric_name, target_date) - dated_data.append(DatedMetricData(date=target_date, data=data)) - except Exception as e: - logger.warning( - f"Failed to get {metric_name} data for {target_date}: {e}" - ) - dated_data.append(DatedMetricData(date=target_date, data=None)) - - return dated_data - - def _get_activities_history_with_dates( - self, days: int, end_date: Optional[date] = None - ) -> List[DatedMetricData]: - """Get activities history grouped by dates. - - Args: - days: Number of days to fetch. - end_date: End date (defaults to today). - - Returns: - List of DatedMetricData objects with activities grouped by date. - """ - if end_date is None: - end_date = date.today() - - cutoff_date = end_date - timedelta(days=days - 1) - - try: - # Get activities from API (get more to ensure we capture all in the range) - activities_accessor = self.server.api_client.metrics.get("activities") - if not activities_accessor: - return [] - - all_activities = activities_accessor.list(limit=100) # Get more activities - - # Group activities by date - activities_by_date = {} - for activity in all_activities: - try: - # Parse activity date from start_date property - activity_date_str = activity.start_date # YYYY-MM-DD format - if activity_date_str: - activity_date = datetime.strptime( - activity_date_str, "%Y-%m-%d" - ).date() - - # Only include activities in our date range - if cutoff_date <= activity_date <= end_date: - if activity_date not in activities_by_date: - activities_by_date[activity_date] = [] - activities_by_date[activity_date].append(activity) - except Exception as e: - logger.warning(f"Failed to parse activity date: {e}") - continue - - # Create DatedMetricData for each day (most recent first) - dated_data = [] - for i in range(days): - target_date = end_date - timedelta(days=i) - activities_for_date = activities_by_date.get(target_date, []) - - if activities_for_date: - # Create a summary of activities for this date - activity_summary = { - "date": target_date, - "count": len(activities_for_date), - "activities": activities_for_date, - } - dated_data.append( - DatedMetricData(date=target_date, data=activity_summary) - ) - else: - dated_data.append(DatedMetricData(date=target_date, data=None)) - - return dated_data - - except Exception as e: - logger.error(f"Failed to get activities history: {e}") - return [ - DatedMetricData(date=end_date - timedelta(days=i), data=None) - for i in range(days) - ] - - def register_tools(self, mcp: "FastMCP"): - """Register metric tools with the MCP server. - - Args: - mcp: FastMCP server instance to register tools with. - """ - - @mcp.tool() - async def list_available_metrics(ctx: Context) -> str: - """Show all available health metrics.""" - if not self.server.discovered_metrics: - return "No metrics discovered. Check Garmy installation." - - result = "Available health and fitness metrics:\n\n" - - for i, (name, config) in enumerate( - self.server.discovered_metrics.items(), 1 - ): - title = name.replace("_", " ").title() - description = config.description or "No description available" - deprecated = " (DEPRECATED)" if config.deprecated else "" - - result += f"{i}. **{title}**{deprecated}\n" - result += f" โ€ข Key: `{name}`\n" - result += f" โ€ข {description}\n\n" - - await ctx.info(f"Discovered {len(self.server.discovered_metrics)} metrics") - return result - - @mcp.tool() - async def get_metric_data( - metric_name: str, date_str: Optional[str] = None, ctx: Context = None - ) -> str: - """Get metric data for a specific date. - - Args: - metric_name: Name of the metric (e.g. 'sleep', 'steps', 'heart_rate'). - date_str: Date in YYYY-MM-DD format (defaults to today). - """ - if not self.server.is_authenticated(): - return "Authentication required. Use garmin_login." - - try: - target_date = date.today() - if date_str: - target_date = datetime.strptime(date_str, "%Y-%m-%d").date() - - await ctx.info(f"Getting {metric_name} data for {target_date}") - - # Get data through API - data = self.server.get_metric_data(metric_name, target_date) - - if not data: - return f"No {metric_name} data for {target_date}" - - # Format result - result = f"**{metric_name.replace('_', ' ').title()}** for {target_date}:\n\n" - result += self.server.format_metric_data(data, metric_name) - - await ctx.info(f"Successfully retrieved {metric_name} data") - return result - - except ValueError as e: - if "Unknown metric" in str(e): - available = list(self.server.api_client.metrics.keys()) - return f"Unknown metric '{metric_name}'. Available: {', '.join(available)}" - else: - return f"Error: {e!s}" - except Exception as e: - await ctx.error(f"Error getting data: {e!s}") - return f"Error: {e!s}" - - @mcp.tool() - async def get_metric_history( - metric_name: str, - days: int = 7, - end_date: Optional[str] = None, - ctx: Context = None, - ) -> str: - """Get historical metric data for multiple days with date labels. - - Args: - metric_name: Name of the metric. - days: Number of days (default 7). - end_date: End date in YYYY-MM-DD format (defaults to today). - """ - if not self.server.is_authenticated(): - return "Authentication required. Use garmin_login." - - try: - target_end = date.today() - if end_date: - target_end = datetime.strptime(end_date, "%Y-%m-%d").date() - - await ctx.info( - f"Getting {metric_name} history for {days} days until {target_end}" - ) - - # Get historical data with dates - dated_history = self._get_metric_history_with_dates( - metric_name, days, target_end - ) - - if not dated_history or all(d.data is None for d in dated_history): - return f"No historical {metric_name} data" - - result = f"**{metric_name.replace('_', ' ').title()} History** ({days} days until {target_end}):\n\n" - - # Show records with dates (most recent first) - valid_records = [d for d in dated_history if d.data is not None] - result += f"Found records: {len(valid_records)} out of {len(dated_history)} days\n\n" - - # Show up to 10 recent records with dates - records_to_show = dated_history[:10] - for dated_data in records_to_show: - if dated_data.data: - result += str(dated_data) + "\n\n" - else: - result += f"**{dated_data.date}**: No data\n\n" - - if len(dated_history) > 10: - result += f"... and {len(dated_history) - 10} more days\n" - - await ctx.info( - f"Successfully retrieved {metric_name} history: {len(valid_records)} valid records" - ) - return result - - except ValueError as e: - return f"Error: {e!s}" - except Exception as e: - await ctx.error(f"Error getting history: {e!s}") - return f"Error: {e!s}" - - @mcp.tool() - async def get_metric_range( # noqa: PLR0911 - metric_name: str, - start_date: str, - end_date: Optional[str] = None, - ctx: Context = None, - ) -> str: - """Get metric data for a specific date range with date labels. - - Args: - metric_name: Name of the metric. - start_date: Start date in YYYY-MM-DD format. - end_date: End date in YYYY-MM-DD format (defaults to today). - """ - if not self.server.is_authenticated(): - return "Authentication required. Use garmin_login." - - try: - start = datetime.strptime(start_date, "%Y-%m-%d").date() - end = date.today() - if end_date: - end = datetime.strptime(end_date, "%Y-%m-%d").date() - - if start > end: - return "Error: Start date cannot be after end date" - - days = (end - start).days + 1 - if days > self.server.config.max_history_days: - return f"Error: Requested range ({days} days) exceeds maximum allowed ({self.server.config.max_history_days} days)" - - await ctx.info( - f"Getting {metric_name} data from {start} to {end} ({days} days)" - ) - - # Get range data with dates - dated_range = self._get_metric_history_with_dates( - metric_name, days, end - ) - - if not dated_range or all(d.data is None for d in dated_range): - return f"No {metric_name} data for range {start} to {end}" - - result = f"**{metric_name.replace('_', ' ').title()}** from {start} to {end}:\n\n" - - valid_records = [d for d in dated_range if d.data is not None] - result += f"Found records: {len(valid_records)} out of {days} days\n\n" - - # Show all records for smaller ranges, or summarize for larger ones - if len(dated_range) <= 15: - # Show all records with dates - for dated_data in reversed(dated_range): # Chronological order - if dated_data.data: - result += str(dated_data) + "\n\n" - else: - result += f"**{dated_data.date}**: No data\n\n" - else: - # Show first 5 and last 5 with dates - result += "**First 5 days:**\n\n" - for dated_data in reversed( - dated_range[-5:] - ): # First 5 chronologically - if dated_data.data: - result += str(dated_data) + "\n\n" - else: - result += f"**{dated_data.date}**: No data\n\n" - - result += f"... {len(dated_range) - 10} more days ...\n\n" - - result += "**Last 5 days:**\n\n" - for dated_data in dated_range[:5]: # Last 5 (most recent) - if dated_data.data: - result += str(dated_data) + "\n\n" - else: - result += f"**{dated_data.date}**: No data\n\n" - - await ctx.info( - f"Successfully retrieved {metric_name} range data: {len(valid_records)} valid records" - ) - return result - - except ValueError as e: - if "time data" in str(e): - return "Error: Invalid date format. Use YYYY-MM-DD format." - return f"Error: {e!s}" - except Exception as e: - await ctx.error(f"Error getting range data: {e!s}") - return f"Error: {e!s}" - - @mcp.tool() - async def export_metric_csv( - metric_name: str, - days: int = 30, - end_date: Optional[str] = None, - ctx: Context = None, - ) -> str: - """Export metric data as CSV for analysis with date columns. - - Args: - metric_name: Name of the metric. - days: Number of days to export (default 30). - end_date: End date in YYYY-MM-DD format (defaults to today). - """ - if not self.server.is_authenticated(): - return "Authentication required. Use garmin_login." - - try: - target_end = date.today() - if end_date: - target_end = datetime.strptime(end_date, "%Y-%m-%d").date() - - await ctx.info( - f"Exporting {metric_name} data as CSV for {days} days until {target_end}" - ) - - # Get historical data with dates - dated_history = self._get_metric_history_with_dates( - metric_name, days, target_end - ) - - if not dated_history or all(d.data is None for d in dated_history): - return f"No {metric_name} data to export" - - # Generate CSV with dates - csv_content = self._export_dated_to_csv(dated_history, metric_name) - - valid_records = [d for d in dated_history if d.data is not None] - result = f"**{metric_name.replace('_', ' ').title()} CSV Export** ({len(valid_records)} valid records out of {len(dated_history)} days):\n\n" - result += "```csv\n" - result += csv_content - result += "\n```\n\n" - result += f"Data exported successfully. Contains {len(valid_records)} valid records from {days} days with date labels." - - await ctx.info( - f"Successfully exported {metric_name} data: {len(valid_records)} valid records" - ) - return result - - except Exception as e: - await ctx.error(f"Error exporting CSV: {e!s}") - return f"Error: {e!s}" - - @mcp.tool() - async def get_metric_schema(metric_name: str, ctx: Context = None) -> str: - """Get detailed schema information for a metric. - - Args: - metric_name: Name of the metric to inspect. - """ - try: - # Check if metric exists in discovered metrics - if metric_name not in self.server.discovered_metrics: - available = list(self.server.discovered_metrics.keys()) - return f"Unknown metric '{metric_name}'. Available: {', '.join(available)}" - - config = self.server.discovered_metrics[metric_name] - - result = f"**{metric_name.replace('_', ' ').title()} Schema**:\n\n" - result += f"โ€ข **Class**: {config.metric_class.__name__}\n" - result += ( - f"โ€ข **Description**: {config.description or 'No description'}\n" - ) - result += f"โ€ข **Version**: {config.version}\n" - result += f"โ€ข **Requires User ID**: {config.requires_user_id}\n" - result += f"โ€ข **Deprecated**: {config.deprecated}\n\n" - - # Get class attributes if possible - try: - if hasattr(config.metric_class, "__dataclass_fields__"): - result += "**Available Fields**:\n" - for ( - field_name, - field_info, - ) in config.metric_class.__dataclass_fields__.items(): - field_type = ( - str(field_info.type) - .replace("", "") - ) - result += f"โ€ข `{field_name}`: {field_type}\n" - result += "\n" - - # Look for properties - properties = [] - for attr_name in dir(config.metric_class): - if not attr_name.startswith("_"): - attr = getattr(config.metric_class, attr_name, None) - if isinstance(attr, property): - properties.append(attr_name) - - if properties: - result += "**Computed Properties**:\n" - for prop in properties: - result += f"โ€ข `{prop}`\n" - result += "\n" - - except Exception as e: - result += f"Schema introspection error: {e!s}\n" - - await ctx.info(f"Retrieved schema for {metric_name}") - return result - - except Exception as e: - await ctx.error(f"Error getting schema: {e!s}") - return f"Error: {e!s}" diff --git a/tests/test_mcp_analysis.py b/tests/test_mcp_analysis.py deleted file mode 100644 index 17d921a..0000000 --- a/tests/test_mcp_analysis.py +++ /dev/null @@ -1,335 +0,0 @@ -""" -Comprehensive tests for MCP analysis tools module. - -Tests all analysis functionality to achieve 100% coverage. -""" - -from datetime import date -from unittest.mock import AsyncMock, Mock, patch - -import pytest -from fastmcp import Context - -from garmy.mcp.tools.analysis import AnalysisTools - - -class TestAnalysisTools: - """Test suite for AnalysisTools class.""" - - def setup_method(self): - """Set up test fixtures.""" - self.mock_server = Mock() - self.mock_server.config.default_analysis_period = 30 - self.analysis_tools = AnalysisTools(self.mock_server) - self.mock_ctx = AsyncMock(spec=Context) - - def test_init(self): - """Test AnalysisTools initialization.""" - server = Mock() - analysis_tools = AnalysisTools(server) - assert analysis_tools.server is server - - @pytest.mark.asyncio - async def test_analyze_metric_trends_not_authenticated(self): - """Test metric trend analysis when not authenticated.""" - self.mock_server.is_authenticated.return_value = False - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["analyze_metric_trends"]( - "sleep", 7, None, self.mock_ctx - ) - - assert "Authentication required" in result - - @pytest.mark.asyncio - async def test_analyze_metric_trends_success(self): - """Test successful metric trend analysis.""" - self.mock_server.is_authenticated.return_value = True - - # Mock metric history data - mock_history = [ - Mock(value=8.5), # Sleep hours for different days - Mock(value=7.2), - Mock(value=8.8), - Mock(value=6.5), - Mock(value=9.1), - ] - self.mock_server.get_metric_history.return_value = mock_history - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["analyze_metric_trends"]( - "sleep", 5, "2023-12-01", self.mock_ctx - ) - - assert "**Sleep Trend Analysis**" in result - assert "Period: 5 days until 2023-12-01" in result - assert "Data Points: 5" in result - assert "Average:" in result - assert "Min:" in result - assert "Max:" in result - assert "Trend:" in result - - self.mock_server.get_metric_history.assert_called_once_with( - "sleep", 5, "2023-12-01" - ) - self.mock_ctx.info.assert_any_call( - "Analyzing sleep trends for 5 days until 2023-12-01" - ) - - @pytest.mark.asyncio - async def test_analyze_metric_trends_no_data(self): - """Test metric trend analysis with no data.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_history.return_value = [] - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["analyze_metric_trends"]( - "sleep", 7, None, self.mock_ctx - ) - - assert "No sleep data available for trend analysis" in result - - @pytest.mark.asyncio - async def test_analyze_metric_trends_default_period(self): - """Test metric trend analysis with default period.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_history.return_value = [Mock(value=123)] - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - await tool_functions["analyze_metric_trends"]( - "steps", None, None, self.mock_ctx - ) - - # Should use default analysis period from config - self.mock_server.get_metric_history.assert_called_once_with("steps", 30, None) - - @pytest.mark.asyncio - async def test_analyze_metric_trends_exception(self): - """Test metric trend analysis with exception.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_history.side_effect = Exception("API Error") - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["analyze_metric_trends"]( - "sleep", 7, None, self.mock_ctx - ) - - assert "Error analyzing trends: API Error" in result - self.mock_ctx.error.assert_called_once_with("Error analyzing trends: API Error") - - @pytest.mark.asyncio - async def test_compare_time_periods_not_authenticated(self): - """Test time period comparison when not authenticated.""" - self.mock_server.is_authenticated.return_value = False - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["compare_time_periods"]( - "steps", 7, 7, self.mock_ctx - ) - - assert "Authentication required" in result - - @pytest.mark.asyncio - async def test_compare_time_periods_success(self): - """Test successful time period comparison.""" - self.mock_server.is_authenticated.return_value = True - - # Mock data for two periods - current_data = [Mock(value=8000), Mock(value=9000), Mock(value=7500)] - previous_data = [Mock(value=7000), Mock(value=8500), Mock(value=6500)] - - self.mock_server.get_metric_history.side_effect = [current_data, previous_data] - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - with patch("garmy.mcp.tools.analysis.date") as mock_date: - mock_date.today.return_value = date(2023, 12, 15) - mock_date.side_effect = lambda *args: date(*args) - - result = await tool_functions["compare_time_periods"]( - "steps", 3, 3, self.mock_ctx - ) - - assert "**Steps Period Comparison**" in result - assert "Current Period:" in result - assert "Previous Period:" in result - assert "Current Average:" in result - assert "Previous Average:" in result - assert "Change:" in result - assert "Current Data Points: 3" in result - assert "Previous Data Points: 3" in result - - @pytest.mark.asyncio - async def test_compare_time_periods_no_current_data(self): - """Test time period comparison with no current data.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_history.side_effect = [[], [Mock(value=100)]] - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["compare_time_periods"]( - "steps", 7, 7, self.mock_ctx - ) - - assert "No current period data available" in result - - @pytest.mark.asyncio - async def test_compare_time_periods_no_previous_data(self): - """Test time period comparison with no previous data.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_history.side_effect = [[Mock(value=100)], []] - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["compare_time_periods"]( - "steps", 7, 7, self.mock_ctx - ) - - assert "No previous period data available for comparison" in result - - @pytest.mark.asyncio - async def test_compare_time_periods_exception(self): - """Test time period comparison with exception.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_history.side_effect = Exception("API Error") - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.analysis_tools.register_tools(mock_mcp) - - result = await tool_functions["compare_time_periods"]( - "steps", 7, 7, self.mock_ctx - ) - - assert "Error comparing periods: API Error" in result - self.mock_ctx.error.assert_called_once_with( - "Error comparing periods: API Error" - ) - - -if __name__ == "__main__": - pytest.main([__file__]) diff --git a/tests/test_mcp_auth.py b/tests/test_mcp_auth.py deleted file mode 100644 index 2f79c06..0000000 --- a/tests/test_mcp_auth.py +++ /dev/null @@ -1,496 +0,0 @@ -""" -Comprehensive tests for MCP authentication tools module. - -Tests all functions and edge cases to achieve 100% coverage. -""" - -import os -from unittest.mock import AsyncMock, Mock, patch - -import pytest -from fastmcp import Context - -from garmy.mcp.tools.auth import AuthTools - - -class TestAuthTools: - """Test suite for AuthTools class.""" - - def setup_method(self): - """Set up test fixtures.""" - self.mock_server = Mock() - self.auth_tools = AuthTools(self.mock_server) - self.mock_ctx = AsyncMock(spec=Context) - - def test_init(self): - """Test AuthTools initialization.""" - server = Mock() - auth_tools = AuthTools(server) - assert auth_tools.server is server - - def test_resolve_credentials_with_provided_credentials(self): - """Test resolving credentials when both email and password are provided.""" - email = "test@example.com" - password = "test123" - - result_email, result_password, is_manual = self.auth_tools._resolve_credentials( - email, password - ) - - assert result_email == email - assert result_password == password - assert is_manual is True - - def test_resolve_credentials_with_partial_credentials(self): - """Test resolving credentials with only email provided.""" - with ( - patch.dict( - os.environ, - {"GARMIN_EMAIL": "env@example.com", "GARMIN_PASSWORD": "envpass"}, - ), - patch("garmy.mcp.tools.auth.ConfigManager") as mock_config, - ): - mock_config.get_garmin_credentials.return_value = ( - "env@example.com", - "envpass", - ) - - result_email, result_password, is_manual = ( - self.auth_tools._resolve_credentials("test@example.com", "") - ) - - assert result_email == "test@example.com" - assert result_password == "envpass" - assert is_manual is False - - def test_resolve_credentials_from_environment(self): - """Test resolving credentials from environment variables.""" - with patch("garmy.mcp.tools.auth.ConfigManager") as mock_config: - mock_config.get_garmin_credentials.return_value = ( - "env@example.com", - "envpass", - ) - - result_email, result_password, is_manual = ( - self.auth_tools._resolve_credentials("", "") - ) - - assert result_email == "env@example.com" - assert result_password == "envpass" - assert is_manual is False - - def test_resolve_credentials_no_credentials_available(self): - """Test resolving credentials when none are available.""" - with patch("garmy.mcp.tools.auth.ConfigManager") as mock_config: - mock_config.get_garmin_credentials.return_value = (None, None) - - with pytest.raises(ValueError, match="No credentials provided"): - self.auth_tools._resolve_credentials("", "") - - def test_resolve_credentials_missing_email(self): - """Test resolving credentials when email is missing.""" - with patch("garmy.mcp.tools.auth.ConfigManager") as mock_config: - mock_config.get_garmin_credentials.return_value = (None, "password") - - with pytest.raises(ValueError, match="No credentials provided"): - self.auth_tools._resolve_credentials("", "test123") - - def test_resolve_credentials_missing_password(self): - """Test resolving credentials when password is missing.""" - with patch("garmy.mcp.tools.auth.ConfigManager") as mock_config: - mock_config.get_garmin_credentials.return_value = ("email@test.com", None) - - with pytest.raises(ValueError, match="No credentials provided"): - self.auth_tools._resolve_credentials("test@example.com", "") - - def test_mask_email_valid_email(self): - """Test email masking for valid email addresses.""" - assert self.auth_tools._mask_email("test@example.com") == "tes***@example.com" - assert self.auth_tools._mask_email("a@b.com") == "a***@b.com" - assert ( - self.auth_tools._mask_email("verylongemail@domain.org") - == "ver***@domain.org" - ) - - def test_mask_email_invalid_email(self): - """Test email masking for invalid email format.""" - assert self.auth_tools._mask_email("notanemail") == "***" - assert self.auth_tools._mask_email("") == "***" - assert self.auth_tools._mask_email("no_at_symbol") == "***" - - @pytest.mark.asyncio - async def test_garmin_login_success_with_manual_credentials(self): - """Test successful login with manually provided credentials.""" - # Setup mocks - self.mock_server.authenticate.return_value = True - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_login"]( - self.mock_ctx, "test@example.com", "password123" - ) - - # Verify results - assert "Successfully logged into Garmin Connect using manual input" in result - self.mock_server.authenticate.assert_called_once_with( - "test@example.com", "password123" - ) - self.mock_ctx.info.assert_any_call( - "Attempting login for user: tes***@example.com" - ) - self.mock_ctx.info.assert_any_call( - "WARNING: Credentials passed manually may be visible to Anthropic servers" - ) - self.mock_ctx.info.assert_any_call("Successfully logged into Garmin Connect") - - @pytest.mark.asyncio - async def test_garmin_login_success_with_env_credentials(self): - """Test successful login with environment credentials.""" - # Setup mocks - self.mock_server.authenticate.return_value = True - - with patch("garmy.mcp.tools.auth.ConfigManager") as mock_config: - mock_config.get_garmin_credentials.return_value = ( - "env@example.com", - "envpass", - ) - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function with empty credentials - result = await tool_functions["garmin_login"](self.mock_ctx, "", "") - - # Verify results - assert ( - "Successfully logged into Garmin Connect using environment variables" - in result - ) - self.mock_server.authenticate.assert_called_once_with( - "env@example.com", "envpass" - ) - self.mock_ctx.info.assert_any_call( - "Using credentials from environment variables (secure)" - ) - - @pytest.mark.asyncio - async def test_garmin_login_failure(self): - """Test failed login attempt.""" - # Setup mocks - self.mock_server.authenticate.return_value = False - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_login"]( - self.mock_ctx, "test@example.com", "wrongpass" - ) - - # Verify results - assert "Login failed. Please check your credentials." in result - self.mock_ctx.error.assert_called_once_with("Login failed") - - @pytest.mark.asyncio - async def test_garmin_login_no_credentials_error(self): - """Test login with no credentials available.""" - with patch("garmy.mcp.tools.auth.ConfigManager") as mock_config: - mock_config.get_garmin_credentials.return_value = (None, None) - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_login"](self.mock_ctx, "", "") - - # Verify results - assert "Authentication failed: No credentials provided" in result - self.mock_ctx.error.assert_called_once_with("No credentials provided") - - @pytest.mark.asyncio - async def test_garmin_login_exception(self): - """Test login with unexpected exception.""" - # Setup mocks - self.mock_server.authenticate.side_effect = Exception("Connection error") - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_login"]( - self.mock_ctx, "test@example.com", "password123" - ) - - # Verify results - assert "Login error: Connection error" in result - self.mock_ctx.error.assert_called_once_with("Login error: Connection error") - - @pytest.mark.asyncio - async def test_garmin_auto_login(self): - """Test automatic login using environment variables.""" - with patch("garmy.mcp.tools.auth.ConfigManager") as mock_config: - mock_config.get_garmin_credentials.return_value = ( - "auto@example.com", - "autopass", - ) - self.mock_server.authenticate.return_value = True - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_auto_login"](self.mock_ctx) - - # Verify results - assert ( - "Successfully logged into Garmin Connect using environment variables" - in result - ) - self.mock_server.authenticate.assert_called_once_with( - "auto@example.com", "autopass" - ) - - @pytest.mark.asyncio - async def test_garmin_logout_when_authenticated(self): - """Test logout when user is authenticated.""" - # Setup mocks - self.mock_server.is_authenticated.return_value = True - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_logout"](self.mock_ctx) - - # Verify results - assert "Successfully logged out." in result - self.mock_server.logout.assert_called_once() - self.mock_ctx.info.assert_called_once_with("Logged out of Garmin Connect") - - @pytest.mark.asyncio - async def test_garmin_logout_when_not_authenticated(self): - """Test logout when user is not authenticated.""" - # Setup mocks - self.mock_server.is_authenticated.return_value = False - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_logout"](self.mock_ctx) - - # Verify results - assert "User was not authenticated." in result - self.mock_server.logout.assert_not_called() - - @pytest.mark.asyncio - async def test_garmin_logout_exception(self): - """Test logout with exception.""" - # Setup mocks - self.mock_server.is_authenticated.return_value = True - self.mock_server.logout.side_effect = Exception("Logout error") - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["garmin_logout"](self.mock_ctx) - - # Verify results - assert "Logout error: Logout error" in result - self.mock_ctx.error.assert_called_once_with("Logout error: Logout error") - - @pytest.mark.asyncio - async def test_check_auth_status_authenticated(self): - """Test auth status check when authenticated.""" - # Setup mocks - self.mock_server.is_authenticated.return_value = True - self.mock_server.api_client.metrics.keys.return_value = [ - "sleep", - "steps", - "heart_rate", - ] - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["check_auth_status"](self.mock_ctx) - - # Verify results - assert "Authenticated with Garmin Connect. 3 metrics available." in result - self.mock_ctx.info.assert_called_once_with( - "Authenticated. Available metrics: 3" - ) - - @pytest.mark.asyncio - async def test_check_auth_status_authenticated_with_api_error(self): - """Test auth status check when authenticated but API has issues.""" - # Setup mocks - self.mock_server.is_authenticated.return_value = True - self.mock_server.api_client.metrics.keys.side_effect = Exception("API Error") - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["check_auth_status"](self.mock_ctx) - - # Verify results - assert "Possible authentication issues: API Error" in result - self.mock_ctx.warning.assert_called_once_with( - "Authentication issues: API Error" - ) - - @pytest.mark.asyncio - async def test_check_auth_status_not_authenticated(self): - """Test auth status check when not authenticated.""" - # Setup mocks - self.mock_server.is_authenticated.return_value = False - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.auth_tools.register_tools(mock_mcp) - - # Call the registered function - result = await tool_functions["check_auth_status"](self.mock_ctx) - - # Verify results - assert "Not authenticated. Use garmin_login to log in." in result - - -if __name__ == "__main__": - pytest.main([__file__]) diff --git a/tests/test_mcp_config.py b/tests/test_mcp_config.py deleted file mode 100644 index af96288..0000000 --- a/tests/test_mcp_config.py +++ /dev/null @@ -1,381 +0,0 @@ -""" -Comprehensive tests for MCP configuration module. - -Tests all configuration classes and utilities to achieve 100% coverage. -""" - -import os -from unittest.mock import patch - -import pytest - -from garmy.mcp.config import ConfigManager, MCPConfig, ToolConfig - - -class TestMCPConfig: - """Test suite for MCPConfig class.""" - - def test_default_initialization(self): - """Test MCPConfig with default values.""" - config = MCPConfig() - - assert config.server_name == "Garmy Health & Fitness Server" - assert config.server_version == "1.0.0" - assert config.enable_auth_tools is True - assert config.enable_metric_tools is True - assert config.enable_analysis_tools is True - assert config.enable_resources is True - assert config.enable_prompts is True - assert config.cache_enabled is False - assert config.cache_size == 100 - assert config.max_history_days == 365 - assert config.default_analysis_period == 30 - assert config.custom_tool_config == {} - assert config.debug_mode is False - - def test_custom_initialization(self): - """Test MCPConfig with custom values.""" - custom_config = {"tool1": {"param1": "value1"}} - - config = MCPConfig( - server_name="Custom Server", - server_version="2.0.0", - enable_auth_tools=False, - cache_enabled=True, - cache_size=50, - max_history_days=180, - default_analysis_period=14, - custom_tool_config=custom_config, - debug_mode=True, - ) - - assert config.server_name == "Custom Server" - assert config.server_version == "2.0.0" - assert config.enable_auth_tools is False - assert config.cache_enabled is True - assert config.cache_size == 50 - assert config.max_history_days == 180 - assert config.default_analysis_period == 14 - assert config.custom_tool_config == custom_config - assert config.debug_mode is True - - def test_post_init_validation_valid(self): - """Test successful post-init validation.""" - # Should not raise any exception - config = MCPConfig( - max_history_days=30, default_analysis_period=7, cache_size=10 - ) - assert config is not None - - def test_post_init_validation_invalid_max_history_days(self): - """Test post-init validation with invalid max_history_days.""" - with pytest.raises(ValueError, match="max_history_days must be positive"): - MCPConfig(max_history_days=0) - - with pytest.raises(ValueError, match="max_history_days must be positive"): - MCPConfig(max_history_days=-10) - - def test_post_init_validation_invalid_default_analysis_period(self): - """Test post-init validation with invalid default_analysis_period.""" - with pytest.raises( - ValueError, match="default_analysis_period must be positive" - ): - MCPConfig(default_analysis_period=0) - - with pytest.raises( - ValueError, match="default_analysis_period must be positive" - ): - MCPConfig(default_analysis_period=-5) - - def test_post_init_validation_invalid_cache_size(self): - """Test post-init validation with invalid cache_size.""" - with pytest.raises(ValueError, match="cache_size must be positive"): - MCPConfig(cache_size=0) - - with pytest.raises(ValueError, match="cache_size must be positive"): - MCPConfig(cache_size=-20) - - def test_for_development(self): - """Test development configuration factory method.""" - config = MCPConfig.for_development() - - assert config.debug_mode is True - assert config.cache_enabled is True - assert config.cache_size == 50 - assert config.max_history_days == 90 - # Other values should be defaults - assert config.server_name == "Garmy Health & Fitness Server" - assert config.enable_auth_tools is True - - def test_for_production(self): - """Test production configuration factory method.""" - config = MCPConfig.for_production() - - assert config.debug_mode is False - assert config.cache_enabled is True - assert config.cache_size == 200 - assert config.max_history_days == 365 - # Other values should be defaults - assert config.server_name == "Garmy Health & Fitness Server" - assert config.enable_auth_tools is True - - def test_minimal(self): - """Test minimal configuration factory method.""" - config = MCPConfig.minimal() - - assert config.enable_analysis_tools is False - assert config.enable_resources is False - assert config.enable_prompts is False - assert config.cache_enabled is False - assert config.max_history_days == 30 - # Other values should be defaults - assert config.server_name == "Garmy Health & Fitness Server" - assert config.enable_auth_tools is True - assert config.enable_metric_tools is True - - -class TestToolConfig: - """Test suite for ToolConfig class.""" - - def test_default_initialization(self): - """Test ToolConfig with default values.""" - config = ToolConfig() - - assert config.enabled is True - assert config.rate_limit == 0 - assert config.timeout_seconds == 30 - assert config.custom_params == {} - - def test_custom_initialization(self): - """Test ToolConfig with custom values.""" - custom_params = {"param1": "value1", "param2": 42} - - config = ToolConfig( - enabled=False, - rate_limit=60, - timeout_seconds=120, - custom_params=custom_params, - ) - - assert config.enabled is False - assert config.rate_limit == 60 - assert config.timeout_seconds == 120 - assert config.custom_params == custom_params - - -class TestConfigManager: - """Test suite for ConfigManager class.""" - - def test_load_from_env_defaults(self): - """Test loading configuration from environment with no env vars set.""" - with patch.dict(os.environ, {}, clear=True): - config = ConfigManager.load_from_env() - - assert config.debug_mode is False - assert config.cache_enabled is False - assert config.cache_size == 100 - assert config.max_history_days == 365 - assert config.default_analysis_period == 30 - - def test_load_from_env_debug_true_variations(self): - """Test loading debug mode with various true values.""" - true_values = ["true", "1", "yes", "on", "TRUE", "True", "YES", "ON"] - - for true_val in true_values: - with patch.dict(os.environ, {"GARMY_MCP_DEBUG": true_val}): - config = ConfigManager.load_from_env() - assert config.debug_mode is True, f"Failed for value: {true_val}" - - def test_load_from_env_debug_false_variations(self): - """Test loading debug mode with various false values.""" - false_values = ["false", "0", "no", "off", "FALSE", "False", "NO", "OFF"] - - for false_val in false_values: - with patch.dict(os.environ, {"GARMY_MCP_DEBUG": false_val}): - config = ConfigManager.load_from_env() - assert config.debug_mode is False, f"Failed for value: {false_val}" - - def test_load_from_env_debug_invalid_value(self): - """Test loading debug mode with invalid value falls back to default.""" - with patch.dict(os.environ, {"GARMY_MCP_DEBUG": "maybe"}): - config = ConfigManager.load_from_env() - assert config.debug_mode is False # Should use default - - def test_load_from_env_cache_enabled_true(self): - """Test loading cache enabled with true value.""" - with patch.dict(os.environ, {"GARMY_MCP_CACHE_ENABLED": "true"}): - config = ConfigManager.load_from_env() - assert config.cache_enabled is True - - def test_load_from_env_cache_enabled_false(self): - """Test loading cache enabled with false value.""" - with patch.dict(os.environ, {"GARMY_MCP_CACHE_ENABLED": "false"}): - config = ConfigManager.load_from_env() - assert config.cache_enabled is False - - def test_load_from_env_cache_size_valid(self): - """Test loading cache size with valid integer.""" - with patch.dict(os.environ, {"GARMY_MCP_CACHE_SIZE": "250"}): - config = ConfigManager.load_from_env() - assert config.cache_size == 250 - - def test_load_from_env_cache_size_invalid(self): - """Test loading cache size with invalid value falls back to default.""" - with patch.dict(os.environ, {"GARMY_MCP_CACHE_SIZE": "not_a_number"}): - config = ConfigManager.load_from_env() - assert config.cache_size == 100 # Should use default - - def test_load_from_env_max_history_days_valid(self): - """Test loading max history days with valid integer.""" - with patch.dict(os.environ, {"GARMY_MCP_MAX_HISTORY_DAYS": "180"}): - config = ConfigManager.load_from_env() - assert config.max_history_days == 180 - - def test_load_from_env_max_history_days_invalid(self): - """Test loading max history days with invalid value falls back to default.""" - with patch.dict(os.environ, {"GARMY_MCP_MAX_HISTORY_DAYS": "invalid"}): - config = ConfigManager.load_from_env() - assert config.max_history_days == 365 # Should use default - - def test_load_from_env_default_analysis_period_valid(self): - """Test loading default analysis period with valid integer.""" - with patch.dict(os.environ, {"GARMY_MCP_DEFAULT_ANALYSIS_PERIOD": "14"}): - config = ConfigManager.load_from_env() - assert config.default_analysis_period == 14 - - def test_load_from_env_default_analysis_period_invalid(self): - """Test loading default analysis period with invalid value falls back to default.""" - with patch.dict(os.environ, {"GARMY_MCP_DEFAULT_ANALYSIS_PERIOD": "not_valid"}): - config = ConfigManager.load_from_env() - assert config.default_analysis_period == 30 # Should use default - - def test_load_from_env_all_values_set(self): - """Test loading configuration with all environment variables set.""" - env_vars = { - "GARMY_MCP_DEBUG": "true", - "GARMY_MCP_CACHE_ENABLED": "true", - "GARMY_MCP_CACHE_SIZE": "150", - "GARMY_MCP_MAX_HISTORY_DAYS": "200", - "GARMY_MCP_DEFAULT_ANALYSIS_PERIOD": "21", - } - - with patch.dict(os.environ, env_vars): - config = ConfigManager.load_from_env() - - assert config.debug_mode is True - assert config.cache_enabled is True - assert config.cache_size == 150 - assert config.max_history_days == 200 - assert config.default_analysis_period == 21 - - def test_validate_config_valid(self): - """Test validating a valid configuration.""" - config = MCPConfig(server_name="Valid Server", server_version="1.0.0") - - # Should not raise any exception - ConfigManager.validate_config(config) - - def test_validate_config_empty_server_name(self): - """Test validating configuration with empty server name.""" - config = MCPConfig(server_name="") - - with pytest.raises(ValueError, match="server_name cannot be empty"): - ConfigManager.validate_config(config) - - def test_validate_config_whitespace_server_name(self): - """Test validating configuration with whitespace-only server name.""" - config = MCPConfig(server_name=" ") - - with pytest.raises(ValueError, match="server_name cannot be empty"): - ConfigManager.validate_config(config) - - def test_validate_config_empty_server_version(self): - """Test validating configuration with empty server version.""" - config = MCPConfig(server_version="") - - with pytest.raises(ValueError, match="server_version cannot be empty"): - ConfigManager.validate_config(config) - - def test_validate_config_whitespace_server_version(self): - """Test validating configuration with whitespace-only server version.""" - config = MCPConfig(server_version=" ") - - with pytest.raises(ValueError, match="server_version cannot be empty"): - ConfigManager.validate_config(config) - - def test_get_garmin_credentials_both_set(self): - """Test getting Garmin credentials when both are set.""" - with patch.dict( - os.environ, - {"GARMIN_EMAIL": "test@example.com", "GARMIN_PASSWORD": "password123"}, - ): - email, password = ConfigManager.get_garmin_credentials() - - assert email == "test@example.com" - assert password == "password123" - - def test_get_garmin_credentials_email_only(self): - """Test getting Garmin credentials when only email is set.""" - with patch.dict(os.environ, {"GARMIN_EMAIL": "test@example.com"}, clear=True): - email, password = ConfigManager.get_garmin_credentials() - - assert email == "test@example.com" - assert password is None - - def test_get_garmin_credentials_password_only(self): - """Test getting Garmin credentials when only password is set.""" - with patch.dict(os.environ, {"GARMIN_PASSWORD": "password123"}, clear=True): - email, password = ConfigManager.get_garmin_credentials() - - assert email is None - assert password == "password123" - - def test_get_garmin_credentials_none_set(self): - """Test getting Garmin credentials when none are set.""" - with patch.dict(os.environ, {}, clear=True): - email, password = ConfigManager.get_garmin_credentials() - - assert email is None - assert password is None - - def test_has_garmin_credentials_both_set(self): - """Test checking for Garmin credentials when both are set.""" - with patch.dict( - os.environ, - {"GARMIN_EMAIL": "test@example.com", "GARMIN_PASSWORD": "password123"}, - ): - result = ConfigManager.has_garmin_credentials() - - assert result is True - - def test_has_garmin_credentials_email_only(self): - """Test checking for Garmin credentials when only email is set.""" - with patch.dict(os.environ, {"GARMIN_EMAIL": "test@example.com"}, clear=True): - result = ConfigManager.has_garmin_credentials() - - assert result is False - - def test_has_garmin_credentials_password_only(self): - """Test checking for Garmin credentials when only password is set.""" - with patch.dict(os.environ, {"GARMIN_PASSWORD": "password123"}, clear=True): - result = ConfigManager.has_garmin_credentials() - - assert result is False - - def test_has_garmin_credentials_none_set(self): - """Test checking for Garmin credentials when none are set.""" - with patch.dict(os.environ, {}, clear=True): - result = ConfigManager.has_garmin_credentials() - - assert result is False - - def test_has_garmin_credentials_empty_values(self): - """Test checking for Garmin credentials with empty string values.""" - with patch.dict(os.environ, {"GARMIN_EMAIL": "", "GARMIN_PASSWORD": ""}): - result = ConfigManager.has_garmin_credentials() - - assert result is False - - -if __name__ == "__main__": - pytest.main([__file__]) diff --git a/tests/test_mcp_metrics.py b/tests/test_mcp_metrics.py deleted file mode 100644 index b00da87..0000000 --- a/tests/test_mcp_metrics.py +++ /dev/null @@ -1,1320 +0,0 @@ -""" -Comprehensive tests for MCP metrics tools module. - -Tests all functions, classes, and edge cases to achieve 100% coverage. -""" - -from dataclasses import dataclass -from datetime import date -from typing import List, Optional -from unittest.mock import AsyncMock, Mock, patch - -import pytest -from fastmcp import Context - -from garmy.mcp.tools.metrics import DatedMetricData, MetricTools - - -# Test data classes for mocking -@dataclass -class MockMetricData: - """Mock metric data class for testing.""" - - value: float = 0.0 - quality: str = "good" - timestamp: Optional[str] = None - - -@dataclass -class MockActivityData: - """Mock activity data class for testing.""" - - activity_name: str = "Running" - activity_type_name: str = "running" - duration_minutes: float = 30.0 - average_hr: Optional[float] = 150.0 - start_date: str = "2023-12-01" - - -class TestDatedMetricData: - """Test suite for DatedMetricData class.""" - - def test_init(self): - """Test DatedMetricData initialization.""" - test_date = date(2023, 12, 1) - test_data = {"value": 123} - - dated_data = DatedMetricData(date=test_date, data=test_data) - - assert dated_data.date == test_date - assert dated_data.data == test_data - - def test_str_with_none_data(self): - """Test string representation with None data.""" - test_date = date(2023, 12, 1) - dated_data = DatedMetricData(date=test_date, data=None) - - result = str(dated_data) - - assert result == "**2023-12-01**: No data" - - def test_str_with_activities_data(self): - """Test string representation with activities data.""" - test_date = date(2023, 12, 1) - activities_data = {"activities": [MockActivityData()], "count": 1} - dated_data = DatedMetricData(date=test_date, data=activities_data) - - with patch.object( - dated_data, "_format_activities_data", return_value="formatted activities" - ): - result = str(dated_data) - - assert result == "formatted activities" - - def test_str_with_standard_data(self): - """Test string representation with standard metric data.""" - test_date = date(2023, 12, 1) - test_data = MockMetricData(value=123.45, quality="excellent") - dated_data = DatedMetricData(date=test_date, data=test_data) - - result = str(dated_data) - - expected = f"**{test_date}**:\n{test_data!s}" - assert result == expected - - def test_format_activities_data_no_activities(self): - """Test activities formatting with no activities.""" - test_date = date(2023, 12, 1) - activities_data = {"activities": [], "count": 0} - dated_data = DatedMetricData(date=test_date, data=activities_data) - - result = dated_data._format_activities_data() - - assert result == "**2023-12-01**: No activities" - - def test_format_activities_data_single_activity(self): - """Test activities formatting with single activity.""" - test_date = date(2023, 12, 1) - activity = MockActivityData( - activity_name="Morning Run", - activity_type_name="running", - duration_minutes=45.0, - average_hr=160.0, - ) - activities_data = {"activities": [activity], "count": 1} - dated_data = DatedMetricData(date=test_date, data=activities_data) - - result = dated_data._format_activities_data() - - expected_parts = [ - "**2023-12-01**: 1 activity", - "1. Morning Run (running) - 45 min - 160 bpm avg", - ] - for part in expected_parts: - assert part in result - - def test_format_activities_data_multiple_activities(self): - """Test activities formatting with multiple activities.""" - test_date = date(2023, 12, 1) - activities = [ - MockActivityData(activity_name="Morning Run", duration_minutes=30.0), - MockActivityData( - activity_name="Evening Walk", duration_minutes=15.0, average_hr=None - ), - ] - activities_data = {"activities": activities, "count": 2} - dated_data = DatedMetricData(date=test_date, data=activities_data) - - result = dated_data._format_activities_data() - - assert "**2023-12-01**: 2 activities" in result - assert "1. Morning Run" in result - assert "2. Evening Walk" in result - - def test_format_activities_data_unnamed_activity(self): - """Test activities formatting with unnamed activity.""" - test_date = date(2023, 12, 1) - activity = MockActivityData(activity_name=None) - activities_data = {"activities": [activity], "count": 1} - dated_data = DatedMetricData(date=test_date, data=activities_data) - - result = dated_data._format_activities_data() - - assert "Unnamed Activity" in result - - def test_format_activities_data_missing_attributes(self): - """Test activities formatting with missing attributes.""" - test_date = date(2023, 12, 1) - # Create activity with minimal attributes - activity = Mock() - activity.activity_name = "Test" - # Missing duration_minutes and average_hr attributes - activities_data = {"activities": [activity], "count": 1} - dated_data = DatedMetricData(date=test_date, data=activities_data) - - result = dated_data._format_activities_data() - - assert "Test (Unknown)" in result - - -class TestMetricTools: - """Test suite for MetricTools class.""" - - def setup_method(self): - """Set up test fixtures.""" - self.mock_server = Mock() - self.mock_server.config.max_history_days = 90 - self.metric_tools = MetricTools(self.mock_server) - self.mock_ctx = AsyncMock(spec=Context) - - def test_init(self): - """Test MetricTools initialization.""" - server = Mock() - metric_tools = MetricTools(server) - assert metric_tools.server is server - - def test_export_to_csv_empty_data(self): - """Test CSV export with empty data.""" - result = self.metric_tools._export_to_csv([], "test_metric") - assert result == "No data to export" - - def test_export_to_csv_with_dataclass_objects(self): - """Test CSV export with dataclass objects.""" - data_list = [ - MockMetricData(value=123.45, quality="good"), - MockMetricData(value=234.56, quality="excellent"), - ] - - result = self.metric_tools._export_to_csv(data_list, "test_metric") - - assert "value,quality,timestamp" in result - assert "123.45,good," in result - assert "234.56,excellent," in result - - def test_export_to_csv_with_complex_objects(self): - """Test CSV export with complex nested objects.""" - - @dataclass - class ComplexData: - simple_value: str - list_value: List[str] - dict_value: dict - none_value: Optional[str] - - data_list = [ - ComplexData( - simple_value="test", - list_value=["a", "b"], - dict_value={"key": "value"}, - none_value=None, - ) - ] - - result = self.metric_tools._export_to_csv(data_list, "complex_metric") - - assert '"[""a"", ""b""]"' in result or '["a", "b"]' in result - assert '{"key": "value"}' in result or '"{\\"key\\": \\"value\\"}"' in result - assert "test" in result - - def test_export_to_csv_fallback_simple_objects(self): - """Test CSV export fallback for simple objects.""" - data_list = ["simple_string", 123, {"not": "dataclass"}] - - result = self.metric_tools._export_to_csv(data_list, "simple_metric") - - assert "Simple Metric" in result - assert "simple_string" in result - assert "123" in result - - def test_export_dated_to_csv_empty_data(self): - """Test dated CSV export with empty data.""" - result = self.metric_tools._export_dated_to_csv([], "test_metric") - assert result == "No data to export" - - def test_export_dated_to_csv_activities_special_case(self): - """Test dated CSV export with activities (special case).""" - dated_data = [DatedMetricData(date=date.today(), data={"activities": []})] - - with patch.object( - self.metric_tools, - "_export_activities_to_csv", - return_value="activities csv", - ): - result = self.metric_tools._export_dated_to_csv(dated_data, "activities") - - assert result == "activities csv" - - def test_export_dated_to_csv_no_valid_data(self): - """Test dated CSV export with no valid data.""" - dated_data = [ - DatedMetricData(date=date(2023, 12, 1), data=None), - DatedMetricData(date=date(2023, 12, 2), data=None), - ] - - result = self.metric_tools._export_dated_to_csv(dated_data, "test_metric") - - assert "date,Test Metric" in result - assert "No data available" in result - - def test_export_dated_to_csv_with_valid_data(self): - """Test dated CSV export with valid dataclass data.""" - dated_data = [ - DatedMetricData(date=date(2023, 12, 1), data=MockMetricData(value=100.0)), - DatedMetricData(date=date(2023, 12, 2), data=None), - DatedMetricData(date=date(2023, 12, 3), data=MockMetricData(value=200.0)), - ] - - result = self.metric_tools._export_dated_to_csv(dated_data, "test_metric") - - assert "date,value,quality,timestamp" in result - assert "2023-12-03,100.0,good," in result # Most recent first (reversed) - assert "2023-12-02,," in result # Empty data row - assert "2023-12-01,200.0,good," in result - - def test_export_dated_to_csv_fallback_simple_objects(self): - """Test dated CSV export fallback for simple objects.""" - dated_data = [ - DatedMetricData(date=date(2023, 12, 1), data="simple_data"), - DatedMetricData(date=date(2023, 12, 2), data=None), - ] - - result = self.metric_tools._export_dated_to_csv(dated_data, "simple_metric") - - assert "date,Simple Metric" in result - assert "2023-12-02,No data" in result # Most recent first (reversed) - assert "2023-12-01,simple_data" in result - - def test_export_activities_to_csv_no_activities(self): - """Test activities CSV export with no activities.""" - dated_data = [] - - result = self.metric_tools._export_activities_to_csv(dated_data) - - assert "date,activity_name,activity_type,duration_minutes" in result - assert "No activities found" in result - - def test_export_activities_to_csv_with_activities(self): - """Test activities CSV export with activities.""" - activities = [ - MockActivityData(activity_name="Run", duration_minutes=30.0), - MockActivityData(activity_name="Walk", duration_minutes=15.0), - ] - dated_data = [ - DatedMetricData( - date=date(2023, 12, 1), data={"activities": activities, "count": 2} - ) - ] - - result = self.metric_tools._export_activities_to_csv(dated_data) - - assert ( - "date,activity_name,activity_type_name,duration_minutes,average_hr,start_date" - in result - ) - assert "2023-12-01,Run,running,30.0,150.0,2023-12-01" in result - assert "2023-12-01,Walk,running,15.0,150.0,2023-12-01" in result - - def test_export_activities_to_csv_sorted_by_date(self): - """Test activities CSV export sorting by date.""" - activity1 = MockActivityData(activity_name="Activity1") - activity2 = MockActivityData(activity_name="Activity2") - - dated_data = [ - DatedMetricData( - date=date(2023, 12, 2), data={"activities": [activity2], "count": 1} - ), - DatedMetricData( - date=date(2023, 12, 1), data={"activities": [activity1], "count": 1} - ), - ] - - result = self.metric_tools._export_activities_to_csv(dated_data) - - lines = result.strip().split("\n") - # Should be sorted chronologically (date ascending) - assert "2023-12-01,Activity1" in lines[1] # After header - assert "2023-12-02,Activity2" in lines[2] - - def test_export_activities_to_csv_complex_data(self): - """Test activities CSV export with complex data types.""" - - @dataclass - class ComplexActivity: - activity_name: str - list_data: List[str] - dict_data: dict - none_data: Optional[str] = None - - activity = ComplexActivity( - activity_name="Complex", - list_data=["a", "b"], - dict_data={"key": "value"}, - none_data=None, - ) - - dated_data = [ - DatedMetricData( - date=date(2023, 12, 1), data={"activities": [activity], "count": 1} - ) - ] - - result = self.metric_tools._export_activities_to_csv(dated_data) - - assert "Complex" in result - assert '["a", "b"]' in result or '"[""a"", ""b""]"' in result - - def test_get_metric_history_with_dates_standard_metric(self): - """Test getting metric history with dates for standard metrics.""" - self.mock_server.get_metric_data.side_effect = [ - MockMetricData(value=100.0), - MockMetricData(value=200.0), - None, # No data for one day - ] - - result = self.metric_tools._get_metric_history_with_dates( - "sleep", 3, date(2023, 12, 3) - ) - - assert len(result) == 3 - assert result[0].date == date(2023, 12, 3) # Most recent first - assert result[0].data.value == 100.0 - assert result[1].date == date(2023, 12, 2) - assert result[1].data.value == 200.0 - assert result[2].date == date(2023, 12, 1) - assert result[2].data is None - - def test_get_metric_history_with_dates_activities_special_case(self): - """Test getting metric history with dates for activities (special case).""" - with patch.object( - self.metric_tools, - "_get_activities_history_with_dates", - return_value="activities_result", - ): - result = self.metric_tools._get_metric_history_with_dates( - "activities", 7, date.today() - ) - - assert result == "activities_result" - - def test_get_metric_history_with_dates_default_end_date(self): - """Test getting metric history with default end date.""" - self.mock_server.get_metric_data.return_value = MockMetricData(value=123.0) - - with patch("garmy.mcp.tools.metrics.date") as mock_date: - mock_date.today.return_value = date(2023, 12, 10) - mock_date.side_effect = lambda *args: date( - *args - ) # Allow date() constructor - - result = self.metric_tools._get_metric_history_with_dates("steps", 2) - - assert len(result) == 2 - assert result[0].date == date(2023, 12, 10) - assert result[1].date == date(2023, 12, 9) - - def test_get_metric_history_with_dates_api_exception(self): - """Test getting metric history with API exceptions.""" - self.mock_server.get_metric_data.side_effect = [ - MockMetricData(value=100.0), - Exception("API Error"), - MockMetricData(value=300.0), - ] - - with patch("garmy.mcp.tools.metrics.logger") as mock_logger: - result = self.metric_tools._get_metric_history_with_dates( - "heart_rate", 3, date(2023, 12, 3) - ) - - assert len(result) == 3 - assert result[0].data.value == 100.0 - assert result[1].data is None # Exception handled - assert result[2].data.value == 300.0 - mock_logger.warning.assert_called_once() - - def test_get_activities_history_with_dates_success(self): - """Test getting activities history with successful API call.""" - mock_activity1 = Mock() - mock_activity1.start_date = "2023-12-01" - mock_activity2 = Mock() - mock_activity2.start_date = "2023-12-02" - mock_activity3 = Mock() - mock_activity3.start_date = "2023-11-30" # Outside range - - mock_activities_accessor = Mock() - mock_activities_accessor.list.return_value = [ - mock_activity1, - mock_activity2, - mock_activity3, - ] - - self.mock_server.api_client.metrics.get.return_value = mock_activities_accessor - - result = self.metric_tools._get_activities_history_with_dates( - 3, date(2023, 12, 2) - ) - - assert len(result) == 3 - # Check that activities are grouped by date - assert result[0].date == date(2023, 12, 2) # Most recent first - assert result[0].data["count"] == 1 - assert result[0].data["activities"] == [mock_activity2] - - assert result[1].date == date(2023, 12, 1) - assert result[1].data["count"] == 1 - assert result[1].data["activities"] == [mock_activity1] - - assert result[2].date == date(2023, 11, 30) - assert result[2].data is None # No activities this day (outside range) - - def test_get_activities_history_with_dates_no_accessor(self): - """Test getting activities history when accessor is not available.""" - self.mock_server.api_client.metrics.get.return_value = None - - result = self.metric_tools._get_activities_history_with_dates( - 3, date(2023, 12, 2) - ) - - assert result == [] - - def test_get_activities_history_with_dates_invalid_date_format(self): - """Test getting activities history with invalid activity date format.""" - mock_activity = Mock() - mock_activity.start_date = "invalid-date" - - mock_activities_accessor = Mock() - mock_activities_accessor.list.return_value = [mock_activity] - - self.mock_server.api_client.metrics.get.return_value = mock_activities_accessor - - with patch("garmy.mcp.tools.metrics.logger") as mock_logger: - result = self.metric_tools._get_activities_history_with_dates( - 1, date(2023, 12, 1) - ) - - assert len(result) == 1 - assert result[0].data is None # No valid activities - mock_logger.warning.assert_called() - - def test_get_activities_history_with_dates_api_exception(self): - """Test getting activities history with API exception.""" - self.mock_server.api_client.metrics.get.side_effect = Exception("API Error") - - with patch("garmy.mcp.tools.metrics.logger") as mock_logger: - result = self.metric_tools._get_activities_history_with_dates( - 2, date(2023, 12, 1) - ) - - assert len(result) == 2 - assert all(item.data is None for item in result) - mock_logger.error.assert_called_once() - - def test_get_activities_history_with_dates_default_end_date(self): - """Test getting activities history with default end date.""" - mock_activities_accessor = Mock() - mock_activities_accessor.list.return_value = [] - self.mock_server.api_client.metrics.get.return_value = mock_activities_accessor - - with patch("garmy.mcp.tools.metrics.date") as mock_date: - mock_date.today.return_value = date(2023, 12, 10) - mock_date.side_effect = lambda *args: date(*args) - - result = self.metric_tools._get_activities_history_with_dates(1) - - assert len(result) == 1 - assert result[0].date == date(2023, 12, 10) - - @pytest.mark.asyncio - async def test_list_available_metrics_no_metrics(self): - """Test listing available metrics when none are discovered.""" - self.mock_server.discovered_metrics = {} - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["list_available_metrics"](self.mock_ctx) - - assert "No metrics discovered" in result - - @pytest.mark.asyncio - async def test_list_available_metrics_with_metrics(self): - """Test listing available metrics with discovered metrics.""" - mock_config1 = Mock() - mock_config1.description = "Sleep data" - mock_config1.deprecated = False - - mock_config2 = Mock() - mock_config2.description = None - mock_config2.deprecated = True - - self.mock_server.discovered_metrics = { - "sleep": mock_config1, - "old_metric": mock_config2, - } - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["list_available_metrics"](self.mock_ctx) - - assert "**Sleep** (DEPRECATED)" not in result # Sleep is not deprecated - assert "**Old Metric** (DEPRECATED)" in result - assert "Sleep data" in result - assert "No description available" in result - self.mock_ctx.info.assert_called_once_with("Discovered 2 metrics") - - @pytest.mark.asyncio - async def test_get_metric_data_not_authenticated(self): - """Test getting metric data when not authenticated.""" - self.mock_server.is_authenticated.return_value = False - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_data"]( - "sleep", "2023-12-01", self.mock_ctx - ) - - assert "Authentication required" in result - - @pytest.mark.asyncio - async def test_get_metric_data_success(self): - """Test successful metric data retrieval.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_data.return_value = MockMetricData(value=123.45) - self.mock_server.format_metric_data.return_value = "Formatted data" - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_data"]( - "sleep", "2023-12-01", self.mock_ctx - ) - - assert "**Sleep** for 2023-12-01" in result - assert "Formatted data" in result - self.mock_ctx.info.assert_any_call("Getting sleep data for 2023-12-01") - self.mock_ctx.info.assert_any_call("Successfully retrieved sleep data") - - @pytest.mark.asyncio - async def test_get_metric_data_no_data(self): - """Test metric data retrieval with no data.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_data.return_value = None - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_data"]( - "sleep", "2023-12-01", self.mock_ctx - ) - - assert "No sleep data for 2023-12-01" in result - - @pytest.mark.asyncio - async def test_get_metric_data_default_date(self): - """Test metric data retrieval with default date.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_data.return_value = MockMetricData() - self.mock_server.format_metric_data.return_value = "Data" - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - with patch("garmy.mcp.tools.metrics.date") as mock_date: - mock_date.today.return_value = date(2023, 12, 15) - mock_date.side_effect = lambda *args: date(*args) - - result = await tool_functions["get_metric_data"]( - "steps", None, self.mock_ctx - ) - - assert "2023-12-15" in result - - @pytest.mark.asyncio - async def test_get_metric_data_unknown_metric(self): - """Test metric data retrieval with unknown metric.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_data.side_effect = ValueError( - "Unknown metric 'unknown'" - ) - self.mock_server.api_client.metrics.keys.return_value = ["sleep", "steps"] - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_data"]( - "unknown", "2023-12-01", self.mock_ctx - ) - - assert "Unknown metric 'unknown'" in result - assert "Available: sleep, steps" in result - - @pytest.mark.asyncio - async def test_get_metric_data_other_value_error(self): - """Test metric data retrieval with other ValueError.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_data.side_effect = ValueError("Invalid date format") - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_data"]( - "sleep", "invalid-date", self.mock_ctx - ) - - assert "Error: Invalid date format" in result - - @pytest.mark.asyncio - async def test_get_metric_data_general_exception(self): - """Test metric data retrieval with general exception.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.get_metric_data.side_effect = Exception("API Error") - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_data"]( - "sleep", "2023-12-01", self.mock_ctx - ) - - assert "Error: API Error" in result - self.mock_ctx.error.assert_called_once_with("Error getting data: API Error") - - @pytest.mark.asyncio - async def test_get_metric_history_success(self): - """Test successful metric history retrieval.""" - self.mock_server.is_authenticated.return_value = True - - mock_dated_data = [ - DatedMetricData(date=date(2023, 12, 3), data=MockMetricData(value=100.0)), - DatedMetricData(date=date(2023, 12, 2), data=MockMetricData(value=200.0)), - DatedMetricData(date=date(2023, 12, 1), data=None), - ] - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - return_value=mock_dated_data, - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_history"]( - "sleep", 3, "2023-12-03", self.mock_ctx - ) - - assert "**Sleep History** (3 days until 2023-12-03)" in result - assert "Found records: 2 out of 3 days" in result - assert "**2023-12-03**" in result - assert "**2023-12-02**" in result - assert "**2023-12-01**: No data" in result - - @pytest.mark.asyncio - async def test_get_metric_history_no_data(self): - """Test metric history retrieval with no data.""" - self.mock_server.is_authenticated.return_value = True - - mock_dated_data = [DatedMetricData(date=date(2023, 12, 1), data=None)] - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - return_value=mock_dated_data, - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_history"]( - "sleep", 1, None, self.mock_ctx - ) - - assert "No historical sleep data" in result - - @pytest.mark.asyncio - async def test_get_metric_history_large_dataset(self): - """Test metric history retrieval with large dataset (>10 records).""" - self.mock_server.is_authenticated.return_value = True - - # Create 15 records - mock_dated_data = [ - DatedMetricData(date=date(2023, 12, i), data=MockMetricData(value=i * 10.0)) - for i in range(1, 16) - ] - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - return_value=mock_dated_data, - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_history"]( - "sleep", 15, None, self.mock_ctx - ) - - assert "Found records: 15 out of 15 days" in result - assert "... and 5 more days" in result # Should truncate to first 10 - - @pytest.mark.asyncio - async def test_get_metric_range_success(self): - """Test successful metric range retrieval.""" - self.mock_server.is_authenticated.return_value = True - - mock_dated_data = [ - DatedMetricData(date=date(2023, 12, 1), data=MockMetricData(value=100.0)), - DatedMetricData(date=date(2023, 12, 2), data=MockMetricData(value=200.0)), - ] - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - return_value=mock_dated_data, - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_range"]( - "sleep", "2023-12-01", "2023-12-02", self.mock_ctx - ) - - assert "**Sleep** from 2023-12-01 to 2023-12-02" in result - assert "Found records: 2 out of 2 days" in result - - @pytest.mark.asyncio - async def test_get_metric_range_invalid_date_order(self): - """Test metric range retrieval with invalid date order.""" - self.mock_server.is_authenticated.return_value = True - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_range"]( - "sleep", "2023-12-02", "2023-12-01", self.mock_ctx - ) - - assert "Error: Start date cannot be after end date" in result - - @pytest.mark.asyncio - async def test_get_metric_range_exceeds_max_days(self): - """Test metric range retrieval exceeding maximum days.""" - self.mock_server.is_authenticated.return_value = True - self.mock_server.config.max_history_days = 30 - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_range"]( - "sleep", "2023-01-01", "2023-12-31", self.mock_ctx - ) - - assert "exceeds maximum allowed (30 days)" in result - - @pytest.mark.asyncio - async def test_get_metric_range_large_dataset(self): - """Test metric range retrieval with large dataset (>15 records).""" - self.mock_server.is_authenticated.return_value = True - - # Create 20 records - mock_dated_data = [ - DatedMetricData(date=date(2023, 12, i), data=MockMetricData(value=i * 10.0)) - for i in range(1, 21) - ] - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - return_value=mock_dated_data, - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_range"]( - "sleep", "2023-12-01", "2023-12-20", self.mock_ctx - ) - - assert "**First 5 days:**" in result - assert "**Last 5 days:**" in result - assert "10 more days" in result - - @pytest.mark.asyncio - async def test_get_metric_range_invalid_date_format(self): - """Test metric range retrieval with invalid date format.""" - self.mock_server.is_authenticated.return_value = True - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_range"]( - "sleep", "invalid-date", None, self.mock_ctx - ) - - assert "Error: Invalid date format. Use YYYY-MM-DD format." in result - - @pytest.mark.asyncio - async def test_export_metric_csv_success(self): - """Test successful metric CSV export.""" - self.mock_server.is_authenticated.return_value = True - - mock_dated_data = [ - DatedMetricData(date=date(2023, 12, 1), data=MockMetricData(value=100.0)), - DatedMetricData(date=date(2023, 12, 2), data=None), - ] - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - return_value=mock_dated_data, - ): - with patch.object( - self.metric_tools, "_export_dated_to_csv", return_value="CSV content" - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["export_metric_csv"]( - "sleep", 2, "2023-12-02", self.mock_ctx - ) - - assert "**Sleep CSV Export**" in result - assert "1 valid records out of 2 days" in result - assert "```csv" in result - assert "CSV content" in result - - @pytest.mark.asyncio - async def test_export_metric_csv_no_data(self): - """Test metric CSV export with no data.""" - self.mock_server.is_authenticated.return_value = True - - mock_dated_data = [DatedMetricData(date=date(2023, 12, 1), data=None)] - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - return_value=mock_dated_data, - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["export_metric_csv"]( - "sleep", 1, None, self.mock_ctx - ) - - assert "No sleep data to export" in result - - @pytest.mark.asyncio - async def test_export_metric_csv_exception(self): - """Test metric CSV export with exception.""" - self.mock_server.is_authenticated.return_value = True - - with patch.object( - self.metric_tools, - "_get_metric_history_with_dates", - side_effect=Exception("Export error"), - ): - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["export_metric_csv"]( - "sleep", 1, None, self.mock_ctx - ) - - assert "Error: Export error" in result - self.mock_ctx.error.assert_called_once_with("Error exporting CSV: Export error") - - @pytest.mark.asyncio - async def test_get_metric_schema_success(self): - """Test successful metric schema retrieval.""" - mock_config = Mock() - mock_config.metric_class = MockMetricData - mock_config.description = "Test metric description" - mock_config.version = "2.0" - mock_config.requires_user_id = True - mock_config.deprecated = False - - self.mock_server.discovered_metrics = {"test_metric": mock_config} - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_schema"]("test_metric", self.mock_ctx) - - assert "**Test Metric Schema**" in result - assert "**Class**: MockMetricData" in result - assert "**Description**: Test metric description" in result - assert "**Version**: 2.0" in result - assert "**Requires User ID**: True" in result - assert "**Deprecated**: False" in result - assert "**Available Fields**:" in result - assert "`value`:" in result - assert "`quality`:" in result - - @pytest.mark.asyncio - async def test_get_metric_schema_unknown_metric(self): - """Test metric schema retrieval for unknown metric.""" - self.mock_server.discovered_metrics = {"known_metric": Mock()} - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_schema"]( - "unknown_metric", self.mock_ctx - ) - - assert "Unknown metric 'unknown_metric'" in result - assert "Available: known_metric" in result - - @pytest.mark.asyncio - async def test_get_metric_schema_with_properties(self): - """Test metric schema retrieval with computed properties.""" - - @dataclass - class MetricWithProperties: - value: float - - @property - def computed_value(self) -> float: - return self.value * 2 - - mock_config = Mock() - mock_config.metric_class = MetricWithProperties - mock_config.description = "Metric with properties" - mock_config.version = "1.0" - mock_config.requires_user_id = False - mock_config.deprecated = False - - self.mock_server.discovered_metrics = {"prop_metric": mock_config} - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_schema"]("prop_metric", self.mock_ctx) - - assert "**Computed Properties**:" in result - assert "`computed_value`" in result - - @pytest.mark.asyncio - async def test_get_metric_schema_introspection_error(self): - """Test metric schema retrieval with introspection error.""" - mock_config = Mock() - # Create a class that will cause introspection to fail - mock_config.metric_class = Mock() - mock_config.metric_class.__name__ = "BadClass" - mock_config.metric_class.__dataclass_fields__ = ( - None # This will cause AttributeError - ) - mock_config.description = "Bad class" - mock_config.version = "1.0" - mock_config.requires_user_id = False - mock_config.deprecated = False - - self.mock_server.discovered_metrics = {"bad_metric": mock_config} - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - result = await tool_functions["get_metric_schema"]("bad_metric", self.mock_ctx) - - assert "Schema introspection error:" in result - - @pytest.mark.asyncio - async def test_get_metric_schema_general_exception(self): - """Test metric schema retrieval with general exception.""" - self.mock_server.discovered_metrics = {"test_metric": Mock()} - - # Create mock MCP and register tools - mock_mcp = Mock() - tool_functions = {} - - def mock_tool(func=None): - def decorator(f): - tool_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.tool = mock_tool - self.metric_tools.register_tools(mock_mcp) - - # Make discovered_metrics access fail - with patch.object( - self.mock_server, - "discovered_metrics", - side_effect=Exception("Schema error"), - ): - result = await tool_functions["get_metric_schema"]( - "test_metric", self.mock_ctx - ) - - assert "Error: Schema error" in result - self.mock_ctx.error.assert_called_once_with( - "Error getting schema: Schema error" - ) - - -if __name__ == "__main__": - pytest.main([__file__]) diff --git a/tests/test_mcp_prompts.py b/tests/test_mcp_prompts.py deleted file mode 100644 index 8c4faf7..0000000 --- a/tests/test_mcp_prompts.py +++ /dev/null @@ -1,257 +0,0 @@ -""" -Comprehensive tests for MCP prompt templates module. - -Tests all prompt template functionality to achieve 100% coverage. -""" - -from unittest.mock import Mock - -import pytest - -from garmy.mcp.prompts.templates import PromptTemplates - - -class TestPromptTemplates: - """Test suite for PromptTemplates class.""" - - def setup_method(self): - """Set up test fixtures.""" - self.mock_server = Mock() - self.prompt_templates = PromptTemplates(self.mock_server) - - def test_init(self): - """Test PromptTemplates initialization.""" - server = Mock() - templates = PromptTemplates(server) - assert templates.server is server - - def test_register_prompts(self): - """Test prompt registration with MCP server.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - # Verify that prompts were registered - expected_prompts = [ - "health_data_analysis", - "fitness_goal_planning", - "sleep_optimization", - "activity_summary", - ] - - for prompt_name in expected_prompts: - assert prompt_name in prompt_functions - - @pytest.mark.asyncio - async def test_health_data_analysis_prompt(self): - """Test health data analysis prompt template.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["health_data_analysis"]( - "sleep", "7", "2023-12-01" - ) - - assert isinstance(result, str) - assert "analyze" in result.lower() - assert "sleep" in result.lower() - assert "7" in result - assert "2023-12-01" in result - assert "patterns" in result.lower() or "trends" in result.lower() - - @pytest.mark.asyncio - async def test_health_data_analysis_prompt_default_params(self): - """Test health data analysis prompt with default parameters.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["health_data_analysis"]() - - assert isinstance(result, str) - assert "analyze" in result.lower() - # Should have default values - assert "health" in result.lower() - - @pytest.mark.asyncio - async def test_fitness_goal_planning_prompt(self): - """Test fitness goal planning prompt template.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["fitness_goal_planning"]( - "weight loss", "10000 steps daily" - ) - - assert isinstance(result, str) - assert "goal" in result.lower() - assert "weight loss" in result.lower() - assert "10000 steps daily" in result.lower() - assert "plan" in result.lower() or "strategy" in result.lower() - - @pytest.mark.asyncio - async def test_fitness_goal_planning_prompt_default_params(self): - """Test fitness goal planning prompt with default parameters.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["fitness_goal_planning"]() - - assert isinstance(result, str) - assert "fitness" in result.lower() - assert "goal" in result.lower() - - @pytest.mark.asyncio - async def test_sleep_optimization_prompt(self): - """Test sleep optimization prompt template.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["sleep_optimization"]( - "6.5 hours", "frequent wakings" - ) - - assert isinstance(result, str) - assert "sleep" in result.lower() - assert "6.5 hours" in result.lower() - assert "frequent wakings" in result.lower() - assert "optimize" in result.lower() or "improve" in result.lower() - - @pytest.mark.asyncio - async def test_sleep_optimization_prompt_default_params(self): - """Test sleep optimization prompt with default parameters.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["sleep_optimization"]() - - assert isinstance(result, str) - assert "sleep" in result.lower() - assert "optimize" in result.lower() or "improve" in result.lower() - - @pytest.mark.asyncio - async def test_activity_summary_prompt(self): - """Test activity summary prompt template.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["activity_summary"]("2023-12-01", "2023-12-07") - - assert isinstance(result, str) - assert "activity" in result.lower() or "activities" in result.lower() - assert "summary" in result.lower() - assert "2023-12-01" in result - assert "2023-12-07" in result - - @pytest.mark.asyncio - async def test_activity_summary_prompt_default_params(self): - """Test activity summary prompt with default parameters.""" - mock_mcp = Mock() - prompt_functions = {} - - def mock_prompt(func=None): - def decorator(f): - prompt_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.prompt = mock_prompt - - self.prompt_templates.register_prompts(mock_mcp) - - result = await prompt_functions["activity_summary"]() - - assert isinstance(result, str) - assert "activity" in result.lower() or "activities" in result.lower() - assert "summary" in result.lower() - - -if __name__ == "__main__": - pytest.main([__file__]) diff --git a/tests/test_mcp_resources.py b/tests/test_mcp_resources.py deleted file mode 100644 index 435b6e1..0000000 --- a/tests/test_mcp_resources.py +++ /dev/null @@ -1,177 +0,0 @@ -""" -Comprehensive tests for MCP resource providers module. - -Tests all resource provider functionality to achieve 100% coverage. -""" - -from unittest.mock import Mock - -import pytest - -from garmy.mcp.resources.providers import ResourceProviders - - -class TestResourceProviders: - """Test suite for ResourceProviders class.""" - - def setup_method(self): - """Set up test fixtures.""" - self.mock_server = Mock() - self.resource_providers = ResourceProviders(self.mock_server) - - def test_init(self): - """Test ResourceProviders initialization.""" - server = Mock() - providers = ResourceProviders(server) - assert providers.server is server - - def test_register_resources(self): - """Test resource registration with MCP server.""" - mock_mcp = Mock() - resource_functions = {} - - def mock_resource(func=None): - def decorator(f): - resource_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.resource = mock_resource - - self.resource_providers.register_resources(mock_mcp) - - # Verify that resources were registered - expected_resources = [ - "garmin_health_data_schema", - "garmin_metric_definitions", - "garmin_api_endpoints", - ] - - for resource_name in expected_resources: - assert resource_name in resource_functions - - @pytest.mark.asyncio - async def test_garmin_health_data_schema(self): - """Test Garmin health data schema resource.""" - mock_mcp = Mock() - resource_functions = {} - - def mock_resource(func=None): - def decorator(f): - resource_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.resource = mock_resource - - self.resource_providers.register_resources(mock_mcp) - - result = await resource_functions["garmin_health_data_schema"]() - - assert isinstance(result, str) - assert "Garmin Connect Health Data Schema" in result - assert "sleep" in result.lower() - assert "steps" in result.lower() - assert "heart_rate" in result.lower() - - @pytest.mark.asyncio - async def test_garmin_metric_definitions(self): - """Test Garmin metric definitions resource.""" - # Mock discovered metrics - mock_config1 = Mock() - mock_config1.description = "Sleep data tracking" - mock_config1.version = "1.0" - mock_config1.deprecated = False - - mock_config2 = Mock() - mock_config2.description = "Daily step count" - mock_config2.version = "2.0" - mock_config2.deprecated = True - - self.mock_server.discovered_metrics = { - "sleep": mock_config1, - "steps": mock_config2, - } - - mock_mcp = Mock() - resource_functions = {} - - def mock_resource(func=None): - def decorator(f): - resource_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.resource = mock_resource - - self.resource_providers.register_resources(mock_mcp) - - result = await resource_functions["garmin_metric_definitions"]() - - assert isinstance(result, str) - assert "Available Garmin Health Metrics" in result - assert "Sleep" in result - assert "Steps" in result - assert "Sleep data tracking" in result - assert "Daily step count" in result - assert "Version: 1.0" in result - assert "Version: 2.0" in result - assert "DEPRECATED" in result # Should show deprecated status - - @pytest.mark.asyncio - async def test_garmin_metric_definitions_no_metrics(self): - """Test Garmin metric definitions resource with no discovered metrics.""" - self.mock_server.discovered_metrics = {} - - mock_mcp = Mock() - resource_functions = {} - - def mock_resource(func=None): - def decorator(f): - resource_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.resource = mock_resource - - self.resource_providers.register_resources(mock_mcp) - - result = await resource_functions["garmin_metric_definitions"]() - - assert isinstance(result, str) - assert "No metrics discovered" in result - - @pytest.mark.asyncio - async def test_garmin_api_endpoints(self): - """Test Garmin API endpoints resource.""" - mock_mcp = Mock() - resource_functions = {} - - def mock_resource(func=None): - def decorator(f): - resource_functions[f.__name__] = f - return f - - return decorator(func) if func else decorator - - mock_mcp.resource = mock_resource - - self.resource_providers.register_resources(mock_mcp) - - result = await resource_functions["garmin_api_endpoints"]() - - assert isinstance(result, str) - assert "Garmin Connect API Endpoints" in result - assert "Base URL:" in result - assert "connect.garmin.com" in result - assert "Authentication:" in result - assert "OAuth" in result - assert "Rate Limiting:" in result - - -if __name__ == "__main__": - pytest.main([__file__]) diff --git a/tests/test_mcp_server.py b/tests/test_mcp_server.py deleted file mode 100644 index 70db565..0000000 --- a/tests/test_mcp_server.py +++ /dev/null @@ -1,848 +0,0 @@ -""" -Comprehensive tests for MCP server module. - -Tests the main GarmyMCPServer class and all its functionality to achieve 100% coverage. -""" - -import logging -from dataclasses import dataclass -from io import StringIO -from unittest.mock import Mock, patch - -import anyio -import pytest - -try: - from builtins import BaseExceptionGroup # Python 3.11+ -except ImportError: - # Python < 3.11 compatibility - BaseExceptionGroup = Exception - -from garmy.mcp.config import MCPConfig -from garmy.mcp.server import GarmyMCPServer - - -@dataclass -class MockMetricData: - """Mock metric data for testing.""" - - value: float = 123.45 - quality: str = "good" - - def __str__(self): - return f"MockMetricData(value={self.value}, quality='{self.quality}')" - - -class TestGarmyMCPServer: - """Test suite for GarmyMCPServer class.""" - - def setup_method(self): - """Set up test fixtures.""" - self.mock_config = MCPConfig() - self.mock_config.debug_mode = False # Disable debug output for clean tests - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_init_with_default_config(self, mock_fastmcp, mock_discovery): - """Test server initialization with default configuration.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer() - - assert server.config is not None - assert server.mcp is not None - assert server.auth_client is None - assert server.api_client is None - assert server.discovered_metrics == {} - mock_fastmcp.assert_called_once() - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_init_with_custom_config(self, mock_fastmcp, mock_discovery): - """Test server initialization with custom configuration.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig(server_name="Test Server", debug_mode=True) - server = GarmyMCPServer(config) - - assert server.config == config - mock_fastmcp.assert_called_once_with("Test Server") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.logging.basicConfig") - def test_init_with_debug_mode( - self, mock_logging_config, mock_fastmcp, mock_discovery - ): - """Test server initialization with debug mode enabled.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig(debug_mode=True) - GarmyMCPServer(config) - - mock_logging_config.assert_called_once_with(level=logging.DEBUG) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_discover_metrics_success(self, mock_fastmcp, mock_discovery): - """Test successful metric discovery.""" - mock_metrics = {"sleep": Mock(), "steps": Mock()} - mock_discovery.discover_metrics.return_value = mock_metrics - mock_discovery.validate_metrics.return_value = None - - with patch("garmy.mcp.server.logger") as mock_logger: - server = GarmyMCPServer(self.mock_config) - - assert server.discovered_metrics == mock_metrics - mock_discovery.discover_metrics.assert_called_once() - mock_discovery.validate_metrics.assert_called_once_with(mock_metrics) - mock_logger.info.assert_called_once_with("Discovered 2 metrics") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_discover_metrics_failure(self, mock_fastmcp, mock_discovery): - """Test metric discovery failure.""" - mock_discovery.discover_metrics.side_effect = Exception("Discovery failed") - - with patch("garmy.mcp.server.logger") as mock_logger: - server = GarmyMCPServer(self.mock_config) - - assert server.discovered_metrics == {} - mock_logger.error.assert_called_once_with( - "Error discovering metrics: Discovery failed" - ) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.AuthTools") - def test_register_auth_tools( - self, mock_auth_tools_class, mock_fastmcp, mock_discovery - ): - """Test authentication tools registration.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - mock_auth_tools = Mock() - mock_auth_tools_class.return_value = mock_auth_tools - - config = MCPConfig(enable_auth_tools=True) - server = GarmyMCPServer(config) - - mock_auth_tools_class.assert_called_once_with(server) - mock_auth_tools.register_tools.assert_called_once_with(server.mcp) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.MetricTools") - def test_register_metric_tools( - self, mock_metric_tools_class, mock_fastmcp, mock_discovery - ): - """Test metric tools registration.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - mock_metric_tools = Mock() - mock_metric_tools_class.return_value = mock_metric_tools - - config = MCPConfig(enable_metric_tools=True) - server = GarmyMCPServer(config) - - mock_metric_tools_class.assert_called_once_with(server) - mock_metric_tools.register_tools.assert_called_once_with(server.mcp) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.AnalysisTools") - def test_register_analysis_tools( - self, mock_analysis_tools_class, mock_fastmcp, mock_discovery - ): - """Test analysis tools registration.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - mock_analysis_tools = Mock() - mock_analysis_tools_class.return_value = mock_analysis_tools - - config = MCPConfig(enable_analysis_tools=True) - server = GarmyMCPServer(config) - - mock_analysis_tools_class.assert_called_once_with(server) - mock_analysis_tools.register_tools.assert_called_once_with(server.mcp) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.ResourceProviders") - def test_register_resources( - self, mock_resource_providers_class, mock_fastmcp, mock_discovery - ): - """Test resource providers registration.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - mock_resource_providers = Mock() - mock_resource_providers_class.return_value = mock_resource_providers - - config = MCPConfig(enable_resources=True) - server = GarmyMCPServer(config) - - mock_resource_providers_class.assert_called_once_with(server) - mock_resource_providers.register_resources.assert_called_once_with(server.mcp) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.PromptTemplates") - def test_register_prompts( - self, mock_prompt_templates_class, mock_fastmcp, mock_discovery - ): - """Test prompt templates registration.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - mock_prompt_templates = Mock() - mock_prompt_templates_class.return_value = mock_prompt_templates - - config = MCPConfig(enable_prompts=True) - server = GarmyMCPServer(config) - - mock_prompt_templates_class.assert_called_once_with(server) - mock_prompt_templates.register_prompts.assert_called_once_with(server.mcp) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_initialize_components_all_disabled(self, mock_fastmcp, mock_discovery): - """Test component initialization with all features disabled.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig( - enable_auth_tools=False, - enable_metric_tools=False, - enable_analysis_tools=False, - enable_resources=False, - enable_prompts=False, - ) - - # Should not raise any errors - server = GarmyMCPServer(config) - assert server is not None - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.AuthClient") - @patch("garmy.mcp.server.APIClient") - def test_authenticate_success( - self, - mock_api_client_class, - mock_auth_client_class, - mock_fastmcp, - mock_discovery, - ): - """Test successful authentication.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - mock_auth_client = Mock() - mock_api_client = Mock() - mock_auth_client_class.return_value = mock_auth_client - mock_api_client_class.return_value = mock_api_client - - server = GarmyMCPServer(self.mock_config) - result = server.authenticate("test@example.com", "password123") - - assert result is True - assert server.auth_client == mock_auth_client - assert server.api_client == mock_api_client - mock_auth_client.login.assert_called_once_with( - "test@example.com", "password123" - ) - mock_api_client_class.assert_called_once_with(auth_client=mock_auth_client) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - @patch("garmy.mcp.server.AuthClient") - def test_authenticate_failure( - self, mock_auth_client_class, mock_fastmcp, mock_discovery - ): - """Test authentication failure.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - mock_auth_client = Mock() - mock_auth_client.login.side_effect = Exception("Login failed") - mock_auth_client_class.return_value = mock_auth_client - - with patch("garmy.mcp.server.logger") as mock_logger: - server = GarmyMCPServer(self.mock_config) - result = server.authenticate("test@example.com", "wrongpass") - - assert result is False - assert server.auth_client is None - assert server.api_client is None - mock_logger.error.assert_called_once_with("Authentication failed: Login failed") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_logout(self, mock_fastmcp, mock_discovery): - """Test logout functionality.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = Mock() - server.api_client = Mock() - - with patch("garmy.mcp.server.logger") as mock_logger: - server.logout() - - assert server.auth_client is None - assert server.api_client is None - mock_logger.info.assert_called_once_with("Logged out from Garmin Connect") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_is_authenticated_true(self, mock_fastmcp, mock_discovery): - """Test authentication status when authenticated.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = Mock() - server.api_client = Mock() - - assert server.is_authenticated() is True - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_is_authenticated_false_no_auth_client(self, mock_fastmcp, mock_discovery): - """Test authentication status with no auth client.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = None - server.api_client = Mock() - - assert server.is_authenticated() is False - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_is_authenticated_false_no_api_client(self, mock_fastmcp, mock_discovery): - """Test authentication status with no API client.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = Mock() - server.api_client = None - - assert server.is_authenticated() is False - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_validate_authentication_success(self, mock_fastmcp, mock_discovery): - """Test authentication validation when authenticated.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = Mock() - server.api_client = Mock() - - # Should not raise an exception - server._validate_authentication() - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_validate_authentication_failure(self, mock_fastmcp, mock_discovery): - """Test authentication validation when not authenticated.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = None - server.api_client = None - - with pytest.raises(ValueError, match="Authentication required"): - server._validate_authentication() - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_validate_metric_name_success(self, mock_fastmcp, mock_discovery): - """Test metric name validation with valid metric.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.api_client = Mock() - server.api_client.metrics.keys.return_value = ["sleep", "steps", "heart_rate"] - - # Should not raise an exception - server._validate_metric_name("sleep") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_validate_metric_name_failure(self, mock_fastmcp, mock_discovery): - """Test metric name validation with invalid metric.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.api_client = Mock() - server.api_client.metrics.keys.return_value = ["sleep", "steps"] - - with pytest.raises(ValueError, match="Unknown metric 'invalid'"): - server._validate_metric_name("invalid") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_get_metric_data_success(self, mock_fastmcp, mock_discovery): - """Test successful metric data retrieval.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = Mock() - server.api_client = Mock() - - mock_metric_accessor = Mock() - mock_metric_data = MockMetricData(value=123.45) - mock_metric_accessor.get.return_value = mock_metric_data - server.api_client.metrics = {"sleep": mock_metric_accessor} - server.api_client.metrics.keys.return_value = ["sleep"] - - result = server.get_metric_data("sleep", "2023-12-01") - - assert result == mock_metric_data - mock_metric_accessor.get.assert_called_once_with("2023-12-01") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_get_metric_data_not_authenticated(self, mock_fastmcp, mock_discovery): - """Test metric data retrieval when not authenticated.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = None - server.api_client = None - - with pytest.raises(ValueError, match="Authentication required"): - server.get_metric_data("sleep", "2023-12-01") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_get_metric_data_invalid_metric(self, mock_fastmcp, mock_discovery): - """Test metric data retrieval with invalid metric name.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = Mock() - server.api_client = Mock() - server.api_client.metrics.keys.return_value = ["sleep"] - - with pytest.raises(ValueError, match="Unknown metric 'invalid'"): - server.get_metric_data("invalid", "2023-12-01") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_get_metric_history_success(self, mock_fastmcp, mock_discovery): - """Test successful metric history retrieval.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.auth_client = Mock() - server.api_client = Mock() - - mock_metric_accessor = Mock() - mock_history_data = [MockMetricData(value=100.0), MockMetricData(value=200.0)] - mock_metric_accessor.list.return_value = mock_history_data - server.api_client.metrics = {"sleep": mock_metric_accessor} - server.api_client.metrics.keys.return_value = ["sleep"] - - result = server.get_metric_history("sleep", 7, "2023-12-01") - - assert result == mock_history_data - mock_metric_accessor.list.assert_called_once_with(end="2023-12-01", days=7) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_get_metric_history_limit_days(self, mock_fastmcp, mock_discovery): - """Test metric history retrieval with days limit.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig(max_history_days=30) - server = GarmyMCPServer(config) - server.auth_client = Mock() - server.api_client = Mock() - - mock_metric_accessor = Mock() - mock_metric_accessor.list.return_value = [] - server.api_client.metrics = {"sleep": mock_metric_accessor} - server.api_client.metrics.keys.return_value = ["sleep"] - - server.get_metric_history( - "sleep", 100 - ) # Request 100 days, should be limited to 30 - - mock_metric_accessor.list.assert_called_once_with(end=None, days=30) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_metric_data_none(self, mock_fastmcp, mock_discovery): - """Test formatting None metric data.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - result = server.format_metric_data(None, "sleep") - assert result == "No data" - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_metric_data_with_str_method(self, mock_fastmcp, mock_discovery): - """Test formatting metric data with custom __str__ method.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - data = MockMetricData(value=123.45, quality="excellent") - - result = server.format_metric_data(data, "sleep") - assert "MockMetricData(value=123.45, quality='excellent')" in result - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_metric_data_fallback_to_attributes( - self, mock_fastmcp, mock_discovery - ): - """Test formatting metric data falling back to attributes.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - # Create object without meaningful __str__ method - class SimpleData: - def __init__(self): - self.temperature = 98.6 - self.humidity = 65 - self.pressure = 1013.25 - - data = SimpleData() - - result = server.format_metric_data(data, "weather") - assert "Temperature: 98.6" in result - assert "Humidity: 65" in result - assert "Pressure: 1013.3" in result # Float formatting - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_metric_data_string_type(self, mock_fastmcp, mock_discovery): - """Test formatting string metric data.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - # String data should use object attributes fallback - result = server.format_metric_data("simple string", "test") - assert result == "simple string" - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_metric_data_exception(self, mock_fastmcp, mock_discovery): - """Test formatting metric data with exception.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - # Create object that will cause exception during formatting - class BadData: - def __str__(self): - raise ValueError("Formatting error") - - def __dict__(self): - raise ValueError("Dict access error") - - data = BadData() - - with patch("garmy.mcp.server.logger") as mock_logger: - result = server.format_metric_data(data, "bad_metric") - - assert "Formatting error:" in result - mock_logger.error.assert_called_once() - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_object_attributes_compact(self, mock_fastmcp, mock_discovery): - """Test formatting object attributes in compact mode.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - class TestData: - def __init__(self): - self.field1 = "value1" - self.field2 = "value2" - self.field3 = "value3" - self.field4 = "value4" # Should be excluded in compact mode - - data = TestData() - - result = server._format_object_attributes(data, compact=True) - lines = result.split("\n") - assert len(lines) <= 3 # Compact mode should limit fields - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_object_attributes_large_numbers(self, mock_fastmcp, mock_discovery): - """Test formatting object attributes with large numbers.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - class TestData: - def __init__(self): - self.large_int = 1234567 - self.float_val = 123.456789 - self.small_int = 42 - - data = TestData() - - result = server._format_object_attributes(data, compact=False) - assert "1,234,567" in result # Large integer formatting - assert "123.5" in result # Float formatting - assert "42" in result # Small integer - no formatting change - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_object_attributes_none_values(self, mock_fastmcp, mock_discovery): - """Test formatting object attributes with None values.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - class TestData: - def __init__(self): - self.valid_field = "value" - self.none_field = None - self._private_field = "private" - - data = TestData() - - result = server._format_object_attributes(data, compact=False) - assert "Valid Field: value" in result - assert "none_field" not in result # None values should be excluded - assert "_private_field" not in result # Private fields should be excluded - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_object_attributes_no_dict(self, mock_fastmcp, mock_discovery): - """Test formatting object without __dict__ attribute.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - # Use a simple type without __dict__ - data = 42 - - result = server._format_object_attributes(data, compact=False) - assert result == "42" - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_format_object_attributes_empty_dict(self, mock_fastmcp, mock_discovery): - """Test formatting object with empty attributes.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - class EmptyData: - pass - - data = EmptyData() - - result = server._format_object_attributes(data, compact=False) - assert result == "Data available" # Fallback for empty attributes - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_run_stdio_transport(self, mock_fastmcp, mock_discovery): - """Test running server with stdio transport.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - server.run(transport="stdio") - server.mcp.run.assert_called_once_with(transport="stdio") - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_run_debug_mode(self, mock_fastmcp, mock_discovery): - """Test running server in debug mode.""" - mock_discovery.discover_metrics.return_value = {"sleep": Mock()} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig(debug_mode=True) - server = GarmyMCPServer(config) - - # Capture stderr output - with patch("sys.stderr", new_callable=StringIO) as mock_stderr: - server.run(transport="stdio") - - stderr_output = mock_stderr.getvalue() - assert "Starting Garmy MCP Server..." in stderr_output - assert "Transport: stdio" in stderr_output - assert "Discovered metrics: 1" in stderr_output - assert "Server ready!" in stderr_output - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_run_broken_resource_error(self, mock_fastmcp, mock_discovery): - """Test running server with BrokenResourceError (normal disconnection).""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig(debug_mode=True) - server = GarmyMCPServer(config) - server.mcp.run.side_effect = anyio.BrokenResourceError("Client disconnected") - - with patch("sys.stderr", new_callable=StringIO) as mock_stderr: - server.run(transport="stdio") # Should not raise - - stderr_output = mock_stderr.getvalue() - assert "MCP client disconnected (normal)" in stderr_output - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_run_exception_group_with_broken_resource( - self, mock_fastmcp, mock_discovery - ): - """Test running server with BaseExceptionGroup containing BrokenResourceError.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig(debug_mode=True) - server = GarmyMCPServer(config) - - # Create exception group with BrokenResourceError - broken_error = anyio.BrokenResourceError("Connection broken") - exception_group = BaseExceptionGroup("Multiple errors", [broken_error]) - server.mcp.run.side_effect = exception_group - - with patch("sys.stderr", new_callable=StringIO) as mock_stderr: - server.run(transport="stdio") # Should not raise - - stderr_output = mock_stderr.getvalue() - assert "MCP client disconnected (normal)" in stderr_output - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_run_exception_group_without_broken_resource( - self, mock_fastmcp, mock_discovery - ): - """Test running server with BaseExceptionGroup without BrokenResourceError.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - # Create exception group with other errors - other_error = ValueError("Some other error") - exception_group = BaseExceptionGroup("Multiple errors", [other_error]) - server.mcp.run.side_effect = exception_group - - with patch.object(server, "_log_error") as mock_log_error: - with pytest.raises(BaseExceptionGroup): - server.run(transport="stdio") - - mock_log_error.assert_called_once() - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_run_general_exception(self, mock_fastmcp, mock_discovery): - """Test running server with general exception.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - server.mcp.run.side_effect = RuntimeError("Server error") - - with patch.object(server, "_log_error") as mock_log_error: - with pytest.raises(RuntimeError): - server.run(transport="stdio") - - mock_log_error.assert_called_once_with( - "Error running MCP server: Server error", mock_log_error.call_args[0][1] - ) - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_log_error_without_exception(self, mock_fastmcp, mock_discovery): - """Test error logging without exception.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) - - with patch("sys.stderr", new_callable=StringIO) as mock_stderr: - server._log_error("Test error message") - - stderr_output = mock_stderr.getvalue() - assert "Test error message" in stderr_output - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_log_error_with_exception_debug_mode(self, mock_fastmcp, mock_discovery): - """Test error logging with exception in debug mode.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - config = MCPConfig(debug_mode=True) - server = GarmyMCPServer(config) - - exception = ValueError("Test exception") - - with patch("sys.stderr", new_callable=StringIO) as mock_stderr: - with patch( - "garmy.mcp.server.traceback.print_exception" - ) as mock_print_exception: - server._log_error("Test error message", exception) - - stderr_output = mock_stderr.getvalue() - assert "Test error message" in stderr_output - mock_print_exception.assert_called_once() - - @patch("garmy.mcp.server.MetricDiscovery") - @patch("garmy.mcp.server.FastMCP") - def test_log_error_with_exception_no_debug(self, mock_fastmcp, mock_discovery): - """Test error logging with exception not in debug mode.""" - mock_discovery.discover_metrics.return_value = {} - mock_discovery.validate_metrics.return_value = None - - server = GarmyMCPServer(self.mock_config) # debug_mode=False - - exception = ValueError("Test exception") - - with patch("sys.stderr", new_callable=StringIO) as mock_stderr: - with patch( - "garmy.mcp.server.traceback.print_exception" - ) as mock_print_exception: - server._log_error("Test error message", exception) - - stderr_output = mock_stderr.getvalue() - assert "Test error message" in stderr_output - mock_print_exception.assert_not_called() # Should not print traceback - - -if __name__ == "__main__": - pytest.main([__file__]) From 13ca8778b89210d66576758309ff323b232ba7a4 Mon Sep 17 00:00:00 2001 From: bes-dev Date: Sun, 29 Jun 2025 16:58:00 +0400 Subject: [PATCH 2/8] clean code --- BREAKING_CHANGES.md | 173 +++++ DATABASE_SCHEMA.md | 197 ++++++ LOCALDB_CLEANUP.md | 218 ++++++ SYNC_REFACTORING.md | 228 ++++++ examples/README.md | 29 + examples/health_db_demo.py | 113 ++- examples/schema_demo.py | 183 +++++ src/garmy/localdb/activities_iterator.py | 148 ++++ src/garmy/localdb/config.py | 3 + src/garmy/localdb/db.py | 447 +++--------- src/garmy/localdb/extractors.py | 142 ++++ src/garmy/localdb/schema.py | 250 +++++++ src/garmy/localdb/sync.py | 864 +++++------------------ src/garmy/mcp/__init__.py | 0 test.db | Bin 0 -> 81920 bytes 15 files changed, 1906 insertions(+), 1089 deletions(-) create mode 100644 BREAKING_CHANGES.md create mode 100644 DATABASE_SCHEMA.md create mode 100644 LOCALDB_CLEANUP.md create mode 100644 SYNC_REFACTORING.md create mode 100644 examples/schema_demo.py create mode 100644 src/garmy/localdb/activities_iterator.py create mode 100644 src/garmy/localdb/extractors.py create mode 100644 src/garmy/localdb/schema.py create mode 100644 src/garmy/mcp/__init__.py create mode 100644 test.db diff --git a/BREAKING_CHANGES.md b/BREAKING_CHANGES.md new file mode 100644 index 0000000..ae66ef3 --- /dev/null +++ b/BREAKING_CHANGES.md @@ -0,0 +1,173 @@ +# Breaking Changes: Legacy Support Removal + +## โš ๏ธ BREAKING CHANGES + +This release removes **ALL backward compatibility** with legacy JSON storage. This is an intentional breaking change to simplify the codebase and eliminate maintenance overhead. + +## ๐Ÿ—‘๏ธ Removed Components + +### 1. Legacy JSON Storage System +**Removed:** +- `daily_metrics` table (JSON storage) +- `DAILY_METRICS` schema definition +- `HealthMetric` class wrapper +- `get_daily_metrics()` method +- `store_daily_metric()` method + +### 2. Schema Changes +**Before (4 tables):** +``` +- daily_metrics (JSON storage) โŒ REMOVED +- timeseries (High-frequency data) โœ… KEPT +- activities (Activity records) โœ… KEPT +- daily_health_metrics (Normalized data) โœ… KEPT +``` + +**After (3 tables):** +``` +- timeseries (High-frequency data) โœ… +- activities (Activity records) โœ… +- daily_health_metrics (Normalized data) โœ… +``` + +## ๐Ÿ’ฅ What Breaks + +### 1. Existing Databases +- **Old databases will NOT work** with the new schema +- Tables created before this change will be incompatible +- `daily_metrics` table will not be created or accessed + +### 2. Data Migration Required +If you have existing data in `daily_metrics` table: + +```sql +-- Manual migration required (if needed) +-- Extract data from old daily_metrics.data JSON column +-- Transform and insert into daily_health_metrics normalized columns +``` + +### 3. Code Dependencies +Any code that used: +```python +# These methods NO LONGER EXIST +db.get_daily_metrics(...) # โŒ REMOVED +db.store_daily_metric(...) # โŒ REMOVED + +# This class NO LONGER EXISTS +HealthMetric(...) # โŒ REMOVED +``` + +## โœ… Migration Path + +### For New Installations +- No migration needed +- Fresh installations use only normalized schema +- Better performance and cleaner architecture + +### For Existing Installations +**Option 1: Fresh Start** +```bash +# Delete old database and start fresh +rm your_health.db +# New schema will be created automatically +``` + +**Option 2: Manual Migration (if data preservation needed)** +```python +# Backup your data first! +# Manual extraction and transformation required +# Contact for migration assistance if needed +``` + +## ๐ŸŽฏ Benefits + +### 1. Simplified Architecture +- Single storage pattern (normalized only) +- No dual storage maintenance +- Cleaner, more predictable code + +### 2. Better Performance +- No JSON parsing overhead +- Optimized indexes for queries +- Efficient SQL operations + +### 3. Easier Maintenance +- One schema to maintain +- No legacy code paths +- Simpler testing and debugging + +### 4. Reduced Code Size +- 203 fewer lines of code (-10%) +- Eliminated complexity +- Focused functionality + +## ๐Ÿ—‚๏ธ New Schema (Final) + +### Current Tables (3 total) +1. **`timeseries`** - High-frequency metrics (HR, stress, etc.) +2. **`activities`** - Individual workouts and activities +3. **`daily_health_metrics`** - Daily aggregated health data + +### Key Features +- All data stored in normalized columns +- Efficient indexes for common queries +- Direct SQL access for analytics +- Type-safe column access + +## ๐Ÿš€ Advantages of Breaking Changes + +### For Developers +- Cleaner, more focused API +- No legacy compatibility overhead +- Easier to understand and maintain +- Better performance characteristics + +### For Users +- Faster sync operations +- More reliable data storage +- Better query performance +- Future-proof architecture + +## ๐Ÿ“‹ Action Required + +1. **Backup existing data** if needed +2. **Update application code** to remove legacy method calls +3. **Test with new schema** before production deployment +4. **Create fresh database** or migrate data manually + +## ๐Ÿ†˜ Support + +If you need help with migration: +- Check the documentation for new API usage +- Use direct SQL queries for analytics +- Consider the examples in `health_db_demo.py` + +## ๐Ÿ“ˆ Schema Comparison + +### Before (Legacy Support) +``` +๐Ÿ“Š Total Tables: 4 +๐Ÿ“‹ JSON Storage: daily_metrics (legacy) +๐Ÿ” Dual Storage: JSON + Normalized +โšก Performance: Mixed (JSON parsing overhead) +๐Ÿงน Maintenance: Complex (dual paths) +``` + +### After (Clean Architecture) +``` +๐Ÿ“Š Total Tables: 3 +๐Ÿ“‹ Storage: Normalized only +๐Ÿ” Single Pattern: Efficient columns +โšก Performance: Optimized (no JSON overhead) +๐Ÿงน Maintenance: Simple (single path) +``` + +## ๐ŸŽ‰ Result + +The health database is now: +- **20% fewer tables** (4 โ†’ 3) +- **10% less code** (2052 โ†’ 1849 lines) +- **100% normalized storage** (no JSON) +- **Zero legacy overhead** (clean architecture) + +This breaking change prioritizes long-term maintainability and performance over short-term compatibility. \ No newline at end of file diff --git a/DATABASE_SCHEMA.md b/DATABASE_SCHEMA.md new file mode 100644 index 0000000..1116b18 --- /dev/null +++ b/DATABASE_SCHEMA.md @@ -0,0 +1,197 @@ +# Database Schema Architecture + +This document describes the clean database schema architecture implemented in Garmy's health database system. + +## ๐Ÿ—๏ธ Architecture Overview + +The database schema is now **completely separated** from database implementation logic, providing: + +- **๐Ÿ“š Self-documenting schema** with descriptions and metadata +- **๐Ÿ” Runtime validation** and introspection capabilities +- **๐Ÿš€ Evolution support** for future schema changes +- **๐Ÿ—บ๏ธ Clear mapping** from API data to database columns +- **๐Ÿงน Clean separation** of concerns + +## ๐Ÿ“ Files + +| File | Purpose | +|------|---------| +| `src/garmy/localdb/schema.py` | Centralized schema definition | +| `src/garmy/localdb/db.py` | Database implementation (uses schema) | +| `examples/schema_demo.py` | Schema architecture demonstration | + +## ๐Ÿ—„๏ธ Schema Definition + +### Core Classes + +```python +@dataclass +class TableDefinition: + name: str # Table name + sql: str # CREATE TABLE statement + description: str # Human-readable description + primary_key: List[str] # Primary key columns + indexes: List[str] # Performance indexes + +@dataclass +class DatabaseSchema: + version: SchemaVersion # Schema version for migrations + tables: List[TableDefinition] # All table definitions + global_indexes: List[str] # Cross-table indexes +``` + +### Current Schema (v1.0.0) + +| Table | Purpose | Primary Key | +|-------|---------|-------------| +| `daily_metrics` | Legacy JSON storage | `(user_id, metric_date)` | +| `timeseries` | High-frequency data | `(user_id, metric_type, timestamp)` | +| `activities` | Activity records | `(user_id, activity_id)` | +| `daily_health_metrics` | Normalized daily data | `(user_id, metric_date)` | + +## ๐Ÿ”„ Data Extraction + +API data is extracted using direct attribute access in the sync process: + +```python +# Example extraction in sync.py +def _extract_daily_summary_data(self, data: Any) -> Dict[str, Any]: + return { + 'total_steps': getattr(data, 'total_steps', None), + 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), + 'sleep_duration_hours': getattr(data, 'sleep_duration_hours', None), + # ... direct attribute access + } +``` + +## ๐Ÿš€ Usage + +### Schema Introspection + +```python +from garmy.localdb.schema import get_schema_info, HEALTH_DB_SCHEMA + +# Get schema information +info = get_schema_info() +print(f"Version: {info['version']}") +print(f"Tables: {info['total_tables']}") + +# Access specific table +table = HEALTH_DB_SCHEMA.get_table("daily_health_metrics") +print(f"Description: {table.description}") +``` + +### Database Integration + +```python +from garmy.localdb.db import HealthDB + +db = HealthDB("health.db") + +# Validate schema +is_valid = db.validate_schema() + +# Get schema info from database +info = db.get_schema_info() +``` + +### Data Extraction + +```python +# Direct attribute access in sync process +def extract_metrics(api_response): + return { + 'total_steps': getattr(api_response, 'total_steps', None), + 'resting_heart_rate': getattr(api_response, 'resting_heart_rate', None) + } +``` + +## ๐ŸŽฏ Benefits + +### Before (Mixed Concerns) +```python +def _init_schema(self): + # 120+ lines of hardcoded SQL strings + conn.execute(""" + CREATE TABLE IF NOT EXISTS daily_health_metrics ( + user_id INTEGER NOT NULL, + metric_date DATE NOT NULL, + total_steps INTEGER, + # ... 50+ more lines ... + ) + """) + # More hardcoded indexes... +``` + +### After (Clean Separation) +```python +def _init_schema(self): + # Clean, maintainable implementation + for statement in HEALTH_DB_SCHEMA.get_all_sql_statements(): + conn.execute(statement) +``` + +## ๐Ÿ”ง Schema Evolution + +### Adding New Table + +```python +NEW_TABLE = TableDefinition( + name="wellness_metrics", + description="Daily wellness and recovery metrics", + primary_key=["user_id", "metric_date"], + sql=""" + CREATE TABLE IF NOT EXISTS wellness_metrics ( + user_id INTEGER NOT NULL, + metric_date DATE NOT NULL, + stress_score INTEGER, + recovery_score INTEGER, + PRIMARY KEY (user_id, metric_date) + ) + """, + indexes=[ + "CREATE INDEX IF NOT EXISTS idx_wellness_stress ON wellness_metrics(stress_score)" + ] +) + +# Add to schema +HEALTH_DB_SCHEMA.tables.append(NEW_TABLE) +``` + +### Version Migration (Future) + +```python +def migrate_v1_to_v2(): + """Example migration function.""" + statements = get_migration_statements( + SchemaVersion.V1_0_0, + SchemaVersion.V2_0_0 + ) + for stmt in statements: + conn.execute(stmt) +``` + +## ๐Ÿงช Testing + +```python +def test_schema_completeness(): + """Test that all expected tables exist.""" + db = HealthDB(":memory:") + + expected_tables = set(get_table_names()) + actual_tables = set(/* get from db */) + + assert expected_tables == actual_tables +``` + +## ๐ŸŽ‰ Result + +The schema is now: + +โœ… **Self-documenting** - Each table has clear purpose and description +โœ… **Maintainable** - Single source of truth for all schema changes +โœ… **Testable** - Easy to validate and introspect +โœ… **Evolvable** - Built-in support for migrations and versioning +โœ… **Clean** - Complete separation from database implementation logic + +Run `python examples/schema_demo.py` to see the new architecture in action! \ No newline at end of file diff --git a/LOCALDB_CLEANUP.md b/LOCALDB_CLEANUP.md new file mode 100644 index 0000000..8237c0f --- /dev/null +++ b/LOCALDB_CLEANUP.md @@ -0,0 +1,218 @@ +# Local DB Module Cleanup + +This document summarizes the significant cleanup performed on the `localdb` module to remove unnecessary code and improve maintainability. + +## ๐ŸŽฏ Goals + +- Remove predefined analytics queries that were only used in demos +- Eliminate legacy/unused code from database refactoring +- Simplify the module API to minimal necessary functionality +- Maintain only essential features required for sync operations + +## ๐Ÿ“Š Results + +### Code Reduction (Including Breaking Changes) +- **Total reduction**: 203 lines (-10%) +- **db.py**: 491 โ†’ 328 lines (-163 lines, -33%) +- **schema.py**: 272 โ†’ 250 lines (-22 lines, -8%) +- **sync.py**: 748 โ†’ 730 lines (-18 lines, -2%) + +### Files Affected +| File | Before | After | Change | +|------|--------|-------|--------| +| `db.py` | 491 lines | 328 lines | -163 (-33%) | +| `schema.py` | 272 lines | 250 lines | -22 (-8%) | +| `sync.py` | 748 lines | 730 lines | -18 (-2%) | +| **Total** | **2052 lines** | **1849 lines** | **-203 (-10%)** | + +## ๐Ÿ—‘๏ธ Removed Components + +### 1. Predefined Analytics Queries (db.py) +**Removed methods:** +- `get_sleep_analysis()` - 20 lines of complex sleep statistics SQL +- `get_activity_summary()` - 22 lines of activity aggregation SQL +- `get_health_trends()` - 19 lines of health correlation SQL +- `get_stats()` - 32 lines of database statistics SQL +- `has_data_for_date()` - 17 lines of legacy data existence check + +**Why removed:** +- Only used in demo files, not core functionality +- Complex predefined queries increase maintenance burden +- Direct SQL access via `db.connection()` provides more flexibility +- Analytics should be custom, not hardcoded + +### 2. Analytics Wrapper Methods (sync.py) +**Removed methods:** +- `get_sleep_analysis()` - Simple wrapper +- `get_activity_summary()` - Simple wrapper +- `get_health_trends()` - Simple wrapper +- `get_stats()` - Simple wrapper + +**Why removed:** +- Just pass-through methods with no added value +- Removed after underlying DB methods were eliminated +- Encourages direct SQL for custom analytics + +### 3. Legacy JSON Storage (Breaking Changes) +**Removed components:** +- `daily_metrics` table - Legacy JSON storage table +- `DAILY_METRICS` schema definition - Table definition +- `HealthMetric` class - Legacy data wrapper class +- Legacy comments and references throughout codebase + +**Why removed (BREAKING CHANGES):** +- โš ๏ธ **Breaks backward compatibility** with existing JSON data +- Eliminates dual storage systems (JSON + normalized) +- Simplifies schema to only normalized tables +- Removes maintenance burden of legacy data support +- Forces migration to efficient normalized storage + +### 4. Unused Column Mapping (schema.py) +**Removed from previous cleanup:** +- `HEALTH_METRIC_COLUMNS` - 50+ line mapping dictionary +- `get_column_mapping()` - Accessor function + +**Why removed:** +- Never actually used in sync process +- Sync uses direct `getattr()` calls instead +- Theoretical code that provided no practical value + +## โœ… What Remains (Essential Functionality) + +### Core Storage Methods (Required for Sync) +- `store_timeseries_batch()` - Batch timeseries storage +- `store_activity()` - Individual activity storage +- `store_health_metric()` - Normalized health metrics storage + +### Existence Checks (Required for Sync) +- `activity_exists()` - Check activity duplicates +- `health_metric_exists()` - Check metric duplicates + +### Basic Queries (Required for Export) +- `get_health_metrics()` - Raw health data retrieval +- `get_activities()` - Raw activity data retrieval +- `get_timeseries()` - Raw timeseries data retrieval + +### Schema Management +- `get_schema_info()` - Schema introspection +- `validate_schema()` - Schema validation +- `connection()` - Database connection manager + +## ๐Ÿ—๏ธ Architecture Improvements + +### Before: Bloated API +```python +# 22 methods including complex analytics +class HealthDB: + def store_health_metric(...) # Core + def get_sleep_analysis(...) # Analytics โŒ + def get_activity_summary(...) # Analytics โŒ + def get_health_trends(...) # Analytics โŒ + def get_stats(...) # Analytics โŒ + def has_data_for_date(...) # Legacy โŒ + # ... 17 more methods +``` + +### After: Minimal API +```python +# 11 essential methods only +class HealthDB: + # Storage (required for sync) + def store_health_metric(...) + def store_activity(...) + def store_timeseries_batch(...) + + # Queries (required for export) + def get_health_metrics(...) + def get_activities(...) + def get_timeseries(...) + + # Utilities + def activity_exists(...) + def health_metric_exists(...) + def validate_schema(...) + def get_schema_info(...) + def connection(...) +``` + +## ๐Ÿ“ Updated Demo + +The `health_db_demo.py` was updated to use direct SQL instead of removed methods: + +### Before (Using Removed Methods) +```python +# Used removed analytics methods +db_stats = self.sync_manager.get_stats() +trends = self.sync_manager.get_health_trends(user_id, start_date, end_date) +sleep_analysis = self.sync_manager.get_sleep_analysis(user_id, start_date, end_date) +``` + +### After (Direct SQL) +```python +# Direct SQL for custom analytics +with self.sync_manager.db.connection() as conn: + trends = conn.execute(""" + SELECT AVG(total_steps) as avg_daily_steps, + AVG(resting_heart_rate) as avg_resting_hr, + AVG(sleep_duration_hours) as avg_sleep_hours + FROM daily_health_metrics + WHERE user_id = ? AND metric_date BETWEEN ? AND ? + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() +``` + +## ๐ŸŽฏ Benefits + +### 1. **Maintainability** +- Fewer methods to maintain and test +- Less complex SQL query logic in core module +- Clear separation between core functionality and analytics + +### 2. **Flexibility** +- Custom analytics via direct SQL access +- No predefined query limitations +- Easier to add new analysis without bloating core module + +### 3. **Performance** +- Smaller module surface area +- Faster imports and initialization +- Less code to load and parse + +### 4. **Clarity** +- Crystal clear what the module actually provides +- Essential vs. convenience methods are obvious +- Easier onboarding for new developers + +## ๐Ÿš€ Migration Guide + +### If You Used Analytics Methods +**Before:** +```python +trends = sync_manager.get_health_trends(user_id, start_date, end_date) +``` + +**After:** +```python +with sync_manager.db.connection() as conn: + trends = conn.execute("SELECT ... FROM daily_health_metrics WHERE ...").fetchone() +``` + +### Benefits of Direct SQL +- **Custom queries**: Write exactly what you need +- **Performance**: No intermediate processing +- **Flexibility**: Join tables, complex aggregations, etc. +- **Learning**: Understand your data structure better + +## ๐Ÿ“ˆ Conclusion + +The cleanup successfully reduced the `localdb` module by **196 lines (10%)** while maintaining all essential functionality. The module now provides: + +โœ… **Core sync functionality** - All storage and existence checking +โœ… **Basic data retrieval** - Raw data access for export +โœ… **Schema management** - Validation and introspection +โœ… **Direct SQL access** - Ultimate flexibility for analytics + +โŒ **No predefined analytics** - Encourages custom, flexible queries +โŒ **No legacy cruft** - Clean, focused API surface +โŒ **No unused mappings** - Only working code remains + +The module is now leaner, more maintainable, and more flexible. \ No newline at end of file diff --git a/SYNC_REFACTORING.md b/SYNC_REFACTORING.md new file mode 100644 index 0000000..6495e85 --- /dev/null +++ b/SYNC_REFACTORING.md @@ -0,0 +1,228 @@ +# Sync Module Refactoring: From Monolith to Clean Architecture + +## ๐ŸŽฏ Problem Solved + +The original `sync.py` was a **730-line monolith** with multiple responsibilities mixed together: +- โŒ **Magic constants** hardcoded in code (`MAX_SYNC_DAYS = 3650`) +- โŒ **Mixed responsibilities** (sync logic + data extraction + activities pagination) +- โŒ **Poor separation of concerns** (everything in one huge file) +- โŒ **Hard to test and maintain** (29 methods in 2 classes) + +## ๐Ÿ—๏ธ Solution: Modular Architecture + +Broke down the monolithic sync.py into **3 focused modules**: + +### 1. **`sync.py`** - Minimal Sync Manager (277 lines) +**Responsibility**: Core synchronization orchestration +- Sync coordination and flow control +- Progress tracking and error handling +- Basic query methods for data access +- **50% fewer lines** than original + +### 2. **`extractors.py`** - Data Extraction (141 lines) +**Responsibility**: API response โ†’ Database format conversion +- Extract daily summary, sleep, activities data +- Handle different API response formats +- Normalize data for database storage +- **Single responsibility principle** + +### 3. **`activities_iterator.py`** - Activity Pagination (147 lines) +**Responsibility**: Activity API pagination and iteration +- Handle large activity datasets with batching +- Automatic pagination management +- Date-based activity filtering +- **Encapsulated complexity** + +## ๐Ÿ“Š Results + +### Code Reduction +| Component | Before | After | Change | +|-----------|--------|-------|--------| +| **sync.py** | 730 lines | 277 lines | **-453 (-62%)** | +| **Total functionality** | 730 lines | 565 lines | **-165 (-23%)** | + +### Architecture Improvements +| Aspect | Before | After | +|--------|--------|-------| +| **Files** | 1 monolith | 3 focused modules | +| **Responsibilities** | Mixed | Single responsibility | +| **Magic constants** | Hardcoded | In configuration | +| **Testability** | Poor | Excellent | +| **Maintainability** | Difficult | Easy | + +## ๐Ÿ”ง Magic Constant Fix + +### Before (Hardcoded) +```python +# In sync.py - magic constant buried in code +MAX_SYNC_DAYS = 3650 # ~10 years +if date_count > MAX_SYNC_DAYS: + raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {MAX_SYNC_DAYS} days") +``` + +### After (Configurable) +```python +# In config.py - centralized configuration +@dataclass +class SyncConfig: + max_sync_days: int = 3650 # ~10 years maximum sync range + +# In sync.py - uses configuration +if date_count > self.config.sync.max_sync_days: + raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {self.config.sync.max_sync_days} days") +``` + +## ๐ŸŽฏ Single Responsibility Principle + +### Before: Mixed Responsibilities +```python +class SyncManager: # 730 lines, 27 methods + def sync_range(...) # Sync orchestration + def _extract_sleep_data(...) # Data extraction โŒ + def _extract_daily_summary(...) # Data extraction โŒ + def _extract_activity_data(...) # Data extraction โŒ + def get_activities_for_date(...) # Activity pagination โŒ + def _load_next_batch(...) # Activity pagination โŒ + # ... everything mixed together +``` + +### After: Clean Separation +```python +# sync.py - ONLY sync orchestration +class SyncManager: # 277 lines, 12 methods + def sync_range(...) # Sync orchestration โœ… + def _sync_date(...) # Sync orchestration โœ… + def query_health_metrics(...) # Basic queries โœ… + +# extractors.py - ONLY data transformation +class DataExtractor: # 141 lines, 10 methods + def extract_metric_data(...) # Data extraction โœ… + def _extract_sleep_data(...) # Data extraction โœ… + def _extract_activity_data(...) # Data extraction โœ… + +# activities_iterator.py - ONLY activity pagination +class ActivitiesIterator: # 147 lines, 7 methods + def get_activities_for_date(...) # Activity pagination โœ… + def _load_next_batch(...) # Activity pagination โœ… +``` + +## ๐Ÿงช Testability Improvements + +### Before: Monolithic Testing +```python +# Hard to test - everything coupled together +def test_sync_manager(): + # Must mock API, database, extraction, pagination all at once + # 730 lines of mixed logic to test +``` + +### After: Focused Unit Tests +```python +def test_sync_manager(): + # Only tests sync orchestration logic + +def test_data_extractor(): + # Only tests data transformation logic + +def test_activities_iterator(): + # Only tests pagination logic +``` + +## ๐Ÿ“ New Module Structure + +``` +src/garmy/localdb/ +โ”œโ”€โ”€ sync.py # Core sync orchestration (277 lines) +โ”œโ”€โ”€ extractors.py # Data extraction utilities (141 lines) +โ”œโ”€โ”€ activities_iterator.py # Activity pagination (147 lines) +โ”œโ”€โ”€ db.py # Database operations (328 lines) +โ”œโ”€โ”€ config.py # Configuration (51 lines) +โ”œโ”€โ”€ progress.py # Progress reporting (469 lines) +โ”œโ”€โ”€ schema.py # Database schema (250 lines) +โ””โ”€โ”€ models.py # Data models (17 lines) +``` + +## ๐Ÿ”„ Usage (No Breaking Changes) + +The public API remains exactly the same: + +```python +# Same usage as before +from garmy.localdb import SyncManager + +sync_manager = SyncManager() +await sync_manager.initialize(email, password) +stats = await sync_manager.sync_range(user_id, start_date, end_date) + +# Configuration now available +config = LocalDBConfig() +config.sync.max_sync_days = 1000 # Customize limit +sync_manager = SyncManager(config=config) +``` + +## ๐Ÿš€ Benefits + +### 1. **Maintainability** +- Each module has single, clear responsibility +- Easy to find and fix bugs +- Simple to add new features + +### 2. **Testability** +- Unit test each component in isolation +- Mock dependencies cleanly +- Better test coverage + +### 3. **Readability** +- 62% fewer lines in main sync logic +- Clear module boundaries +- Self-documenting code structure + +### 4. **Configuration** +- No more magic constants +- Centralized configuration management +- Easy to customize behavior + +### 5. **Extensibility** +- Add new extractors without touching sync logic +- Improve pagination without affecting data extraction +- Swap implementations easily + +## ๐Ÿ” Code Quality Metrics + +| Metric | Before | After | Improvement | +|--------|--------|-------|-------------| +| **Lines per file** | 730 | 277 max | 62% reduction | +| **Methods per class** | 27 | 12 max | 56% reduction | +| **Responsibilities** | Multiple | Single | 100% separation | +| **Magic constants** | 1 | 0 | 100% elimination | +| **Testability** | Poor | Excellent | Significant | + +## ๐Ÿ“‹ Migration Notes + +### For Developers +- **No API changes** - existing code continues to work +- **Better debugging** - easier to isolate issues +- **Simpler testing** - mock only what you need + +### For Configuration +```python +# Old way (hardcoded) +# MAX_SYNC_DAYS was fixed at 3650 + +# New way (configurable) +config = LocalDBConfig() +config.sync.max_sync_days = 365 # Custom limit +sync_manager = SyncManager(config=config) +``` + +## ๐ŸŽ‰ Conclusion + +Transformed a **730-line monolith** into **3 focused modules** totaling **565 lines**: + +โœ… **23% less code** with same functionality +โœ… **100% separation** of concerns +โœ… **Zero magic constants** remaining +โœ… **Excellent testability** for each component +โœ… **Clean architecture** following SOLID principles + +The sync module is now maintainable, testable, and follows clean architecture principles while delivering the same functionality with significantly less code. \ No newline at end of file diff --git a/examples/README.md b/examples/README.md index 2b9e0fb..281651c 100644 --- a/examples/README.md +++ b/examples/README.md @@ -58,6 +58,11 @@ This directory contains practical examples demonstrating how to use Garmy for ac python examples/health_db_demo.py ``` +9. **๐Ÿ—„๏ธ Database Schema Architecture (NEW!)**: + ```bash + python examples/schema_demo.py + ``` + ## ๐Ÿ“ Example Files ### ๐Ÿ” `basic_auth.py` @@ -243,6 +248,30 @@ python examples/health_db_demo.py - ๐Ÿ“ค Data export for external analysis - ๐Ÿ” Advanced SQL queries for health insights +### ๐Ÿ—„๏ธ `schema_demo.py` โญ **NEW!** +**Purpose**: Database schema architecture demonstration + +**Features**: +- **Clean schema separation** from database implementation logic +- **Centralized schema management** with version tracking +- **Schema validation** and introspection capabilities +- **Direct data extraction** using attribute access +- **Evolution support** for future schema changes +- **Self-documenting** schema with descriptions and metadata + +**Usage**: +```bash +python examples/schema_demo.py +``` + +**What it demonstrates**: +- ๐Ÿ—๏ธ Structured schema definition with TableDefinition classes +- ๐Ÿ“š Comprehensive documentation for each table and column +- ๐Ÿ” Runtime schema validation and introspection +- ๐Ÿ”ง Direct attribute extraction from API responses to database +- ๐Ÿš€ Foundation for schema migrations and evolution +- ๐Ÿงน Clean separation of concerns in database architecture + ## ๐Ÿ›  Usage Patterns ### Basic Authentication diff --git a/examples/health_db_demo.py b/examples/health_db_demo.py index 5871923..3edab53 100644 --- a/examples/health_db_demo.py +++ b/examples/health_db_demo.py @@ -178,74 +178,55 @@ async def _demo_sync_and_analytics(self): print(f" โŒ Failed: {stats['failed']}") print(f" ๐Ÿ“ˆ Total: {stats['total_tasks']}") - # Database statistics - db_stats = self.sync_manager.get_stats() - print(f"\n๐Ÿ—๏ธ Database Statistics:") - print(f" ๐Ÿ“‹ Health metrics: {db_stats.get('health_metrics_count', 0)}") - print(f" ๐Ÿƒโ€โ™‚๏ธ Activities: {db_stats.get('activities_count', 0)}") - print(f" ๐Ÿ“Š Timeseries points: {db_stats.get('timeseries_count', 0)}") - print(f" ๐Ÿ‘ฅ Users: {db_stats.get('users', 0)}") - - # Show data coverage - coverage = db_stats.get('coverage', {}) - if coverage: - print(f"\n๐Ÿ“… Data Coverage:") - print(f" ๐Ÿ‘Ÿ Days with steps: {coverage.get('days_with_steps', 0)}") - print(f" ๐Ÿ˜ด Days with sleep: {coverage.get('days_with_sleep', 0)}") - print(f" โค๏ธ Days with heart rate: {coverage.get('days_with_hr', 0)}") - print(f" ๐Ÿ’ช Days with readiness: {coverage.get('days_with_readiness', 0)}") - - # Analytics demos - await self._show_health_analytics(start_date, end_date) - await self._show_activity_analytics(start_date, end_date) - await self._show_sleep_analytics(start_date, end_date) - - async def _show_health_analytics(self, start_date: date, end_date: date): - """Show health analytics.""" - print(f"\n๐Ÿ’š Health Trends Analysis") - - trends = self.sync_manager.get_health_trends(self.user_id, start_date, end_date) - if trends: - print(f" ๐Ÿ“Š Average daily steps: {trends.get('avg_daily_steps', 0):,.0f}") - print(f" โค๏ธ Average resting HR: {trends.get('avg_resting_hr', 0):.0f} bpm") - print(f" ๐Ÿ˜ฐ Average stress level: {trends.get('avg_stress', 0):.0f}") - print(f" ๐Ÿ”‹ Average Body Battery: {trends.get('avg_body_battery_high', 0):.0f}") - print(f" ๐Ÿ’ช Average training readiness: {trends.get('avg_training_readiness', 0):.0f}") - print(f" ๐ŸŽฏ Days >10k steps: {trends.get('days_over_10k_steps', 0)}") - print(f" ๐Ÿ˜ด Days >8h sleep: {trends.get('days_over_8h_sleep', 0)}") - - async def _show_activity_analytics(self, start_date: date, end_date: date): - """Show activity analytics.""" - print(f"\n๐Ÿƒโ€โ™‚๏ธ Activity Analysis") - - activity_summary = self.sync_manager.get_activity_summary(self.user_id, start_date, end_date) - if activity_summary.get('total_activities', 0) > 0: - total_hours = activity_summary.get('total_duration_seconds', 0) / 3600 - avg_minutes = activity_summary.get('avg_duration_seconds', 0) / 60 + # Simple database statistics using direct SQL + with self.sync_manager.db.connection() as conn: + health_count = conn.execute("SELECT COUNT(*) FROM daily_health_metrics").fetchone()[0] + activities_count = conn.execute("SELECT COUNT(*) FROM activities").fetchone()[0] + timeseries_count = conn.execute("SELECT COUNT(*) FROM timeseries").fetchone()[0] - print(f" ๐Ÿ“ˆ Total activities: {activity_summary['total_activities']}") - print(f" ๐ŸŽฏ Activity types: {activity_summary.get('unique_activity_types', 0)}") - print(f" โฑ๏ธ Total time: {total_hours:.1f} hours") - print(f" ๐Ÿ“Š Average duration: {avg_minutes:.0f} minutes") - print(f" โค๏ธ Average heart rate: {activity_summary.get('avg_heart_rate_across_activities', 0):.0f} bpm") - print(f" ๐Ÿ† Most common: {activity_summary.get('most_common_activity', 'N/A')}") - else: - print(" ๐Ÿ“Š No activities found in this period") + print(f"\n๐Ÿ—๏ธ Database Statistics:") + print(f" ๐Ÿ“‹ Health metrics: {health_count}") + print(f" ๐Ÿƒโ€โ™‚๏ธ Activities: {activities_count}") + print(f" ๐Ÿ“Š Timeseries points: {timeseries_count}") + + # Show simple analytics using direct SQL + await self._show_simple_analytics(start_date, end_date) - async def _show_sleep_analytics(self, start_date: date, end_date: date): - """Show sleep analytics.""" - print(f"\n๐Ÿ˜ด Sleep Analysis") - - sleep_analysis = self.sync_manager.get_sleep_analysis(self.user_id, start_date, end_date) - if sleep_analysis.get('total_nights', 0) > 0: - print(f" ๐ŸŒ™ Total nights: {sleep_analysis['total_nights']}") - print(f" โฐ Average duration: {sleep_analysis.get('avg_sleep_duration', 0):.1f} hours") - print(f" ๐Ÿ›Œ Deep sleep: {sleep_analysis.get('avg_deep_sleep_pct', 0):.1f}%") - print(f" ๐ŸŒ™ REM sleep: {sleep_analysis.get('avg_rem_sleep_pct', 0):.1f}%") - print(f" ๐Ÿซ Average SpO2: {sleep_analysis.get('avg_spo2', 0):.1f}%") - print(f" ๐Ÿ“Š Range: {sleep_analysis.get('min_sleep', 0):.1f}h - {sleep_analysis.get('max_sleep', 0):.1f}h") - else: - print(" ๐Ÿ“Š No sleep data found in this period") + async def _show_simple_analytics(self, start_date: date, end_date: date): + """Show simple analytics using direct SQL queries.""" + print(f"\n๐Ÿ“Š Simple Analytics (Direct SQL)") + + with self.sync_manager.db.connection() as conn: + # Health trends + trends = conn.execute(""" + SELECT + AVG(total_steps) as avg_daily_steps, + AVG(resting_heart_rate) as avg_resting_hr, + AVG(sleep_duration_hours) as avg_sleep_hours, + COUNT(CASE WHEN total_steps > 10000 THEN 1 END) as days_over_10k_steps + FROM daily_health_metrics + WHERE user_id = ? AND metric_date BETWEEN ? AND ? + """, (self.user_id, start_date.isoformat(), end_date.isoformat())).fetchone() + + if trends and trends[0]: + print(f" ๐Ÿ‘Ÿ Average daily steps: {trends[0]:,.0f}") + print(f" โค๏ธ Average resting HR: {trends[1]:.0f} bpm" if trends[1] else " โค๏ธ No HR data") + print(f" ๐Ÿ˜ด Average sleep: {trends[2]:.1f} hours" if trends[2] else " ๐Ÿ˜ด No sleep data") + print(f" ๐ŸŽฏ Days >10k steps: {trends[3]}") + + # Activities summary + activities = conn.execute(""" + SELECT COUNT(*) as total_activities, COUNT(DISTINCT activity_name) as activity_types + FROM activities + WHERE user_id = ? AND activity_date BETWEEN ? AND ? + """, (self.user_id, start_date.isoformat(), end_date.isoformat())).fetchone() + + if activities and activities[0] > 0: + print(f"\n๐Ÿƒโ€โ™‚๏ธ Activities:") + print(f" ๐Ÿ“ˆ Total activities: {activities[0]}") + print(f" ๐ŸŽฏ Activity types: {activities[1]}") + else: + print(f"\n๐Ÿƒโ€โ™‚๏ธ No activities found in this period") async def _demo_data_export(self): """Demo data export capabilities.""" diff --git a/examples/schema_demo.py b/examples/schema_demo.py new file mode 100644 index 0000000..4bf350b --- /dev/null +++ b/examples/schema_demo.py @@ -0,0 +1,183 @@ +#!/usr/bin/env python3 +""" +Demo of the new database schema architecture. + +This script demonstrates: +- Clean separation of schema definition from database logic +- Schema validation and introspection +- Centralized schema management +- Easy schema evolution and migration planning +""" + +import sys +from pathlib import Path + +# Add project root to path +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from src.garmy.localdb.schema import ( + HEALTH_DB_SCHEMA, + get_schema_info, + get_table_names, + SchemaVersion +) +from src.garmy.localdb.db import HealthDB + + +def demo_schema_info(): + """Demo schema introspection capabilities.""" + print("๐Ÿ—„๏ธ Database Schema Information") + print("=" * 50) + + schema_info = get_schema_info() + + print(f"๐Ÿ“Š Schema Version: {schema_info['version']}") + print(f"๐Ÿ“‹ Total Tables: {schema_info['total_tables']}") + print(f"๐Ÿ” Total Indexes: {schema_info['total_indexes']}") + print() + + print("๐Ÿ“ Tables:") + for table_name, info in schema_info['tables'].items(): + print(f" โ€ข {table_name}") + print(f" Description: {info['description']}") + print(f" Primary Key: {', '.join(info['primary_key'])}") + print(f" Indexes: {info['indexes_count']}") + print() + + +def demo_schema_definition(): + """Demo clean schema definition structure.""" + print("\n๐Ÿ—๏ธ Schema Definition Structure") + print("=" * 40) + + print(f"Schema contains {len(HEALTH_DB_SCHEMA.tables)} tables:") + + for table in HEALTH_DB_SCHEMA.tables: + print(f"\n๐Ÿ“‹ {table.name.upper()}") + print(f" Purpose: {table.description}") + print(f" Primary Key: [{', '.join(table.primary_key)}]") + print(f" Indexes: {len(table.indexes)} performance indexes") + + # Show table SQL (first few lines) + sql_lines = table.sql.strip().split('\n') + print(f" Schema Preview:") + for i, line in enumerate(sql_lines[:4]): + if line.strip(): + print(f" {line.strip()}") + if len(sql_lines) > 4: + print(" ...") + + +def demo_data_extraction(): + """Demo how sync process extracts data to database columns.""" + print("\n๐Ÿ”„ Data Extraction Process") + print("=" * 30) + + print("The sync process uses direct attribute access:") + print() + print("๐Ÿ“Š Example extraction logic:") + print(" API Response โ†’ Database Column") + print(" data.total_steps โ†’ total_steps") + print(" data.resting_heart_rate โ†’ resting_heart_rate") + print(" data.sleep_duration_hours โ†’ sleep_duration_hours") + print(" data.training_readiness.score โ†’ training_readiness_score") + print() + print("๐Ÿ”ง Implementation uses getattr() for safe extraction:") + print(" getattr(data, 'total_steps', None)") + print(" getattr(training_readiness, 'score', None)") + print() + print("โœ… No mapping table needed - direct attribute access!") + + +def demo_database_integration(): + """Demo how the schema integrates with the database.""" + print("\n๐Ÿ’พ Database Integration Demo") + print("=" * 35) + + # Create temporary database for demo + db_path = Path("schema_demo.db") + db = HealthDB(db_path) + + print("โœ… Database initialized with new schema architecture") + + # Validate schema + is_valid = db.validate_schema() + print(f"๐Ÿ” Schema validation: {'โœ… PASSED' if is_valid else 'โŒ FAILED'}") + + # Show schema info from database + db_schema_info = db.get_schema_info() + print(f"๐Ÿ“Š Schema version: {db_schema_info['version']}") + print(f"๐Ÿ“‹ Tables created: {db_schema_info['total_tables']}") + + print("\n๐Ÿ“ Expected vs Created Tables:") + expected_tables = set(get_table_names()) + print(f" Expected: {', '.join(sorted(expected_tables))}") + + # Check actual tables in database + with db.connection() as conn: + actual_tables = { + row[0] for row in conn.execute( + "SELECT name FROM sqlite_master WHERE type='table'" + ).fetchall() + } + print(f" Created: {', '.join(sorted(actual_tables))}") + + missing = expected_tables - actual_tables + extra = actual_tables - expected_tables + + if missing: + print(f" โŒ Missing: {', '.join(missing)}") + if extra: + print(f" โž• Extra: {', '.join(extra)}") + if not missing and not extra: + print(" โœ… Perfect match!") + + # Clean up demo database + if db_path.exists(): + db_path.unlink() + print(f"\n๐Ÿงน Cleaned up demo database: {db_path}") + + +def demo_benefits(): + """Demo the benefits of this architecture.""" + print("\n๐ŸŒŸ Benefits of Centralized Schema Management") + print("=" * 55) + + benefits = [ + "๐Ÿงน Clean separation: Schema definition is separate from database logic", + "๐Ÿ“š Documentation: Each table has clear description and purpose", + "๐Ÿ” Introspection: Easy to query schema info programmatically", + "๐Ÿš€ Evolution: Schema changes are centralized and trackable", + "๐Ÿ”ง Validation: Can validate database matches expected schema", + "๐Ÿ“Š Mapping: Clear mapping from API data to database columns", + "๐Ÿงช Testing: Easy to create test schemas and validate migrations", + "๐Ÿ—๏ธ Maintenance: Single source of truth for all schema changes" + ] + + for benefit in benefits: + print(f" {benefit}") + + +def main(): + """Run all schema demos.""" + print("๐Ÿ—„๏ธ Health Database Schema Architecture Demo") + print("=" * 60) + print("This demo shows the clean separation of schema definition") + print("from database implementation logic.\n") + + demo_schema_info() + demo_schema_definition() + demo_data_extraction() + demo_database_integration() + demo_benefits() + + print(f"\n๐ŸŽ‰ Schema Demo Complete!") + print(f"๐Ÿ’ก The schema is now:") + print(f" โ€ข Documented and well-structured") + print(f" โ€ข Separated from database implementation") + print(f" โ€ข Easy to evolve and maintain") + print(f" โ€ข Self-validating and introspectable") + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/garmy/localdb/activities_iterator.py b/src/garmy/localdb/activities_iterator.py new file mode 100644 index 0000000..7f88a9c --- /dev/null +++ b/src/garmy/localdb/activities_iterator.py @@ -0,0 +1,148 @@ +"""Activity pagination and iteration utilities.""" + +from datetime import date +from typing import Any, List, Optional +import asyncio + + +class ActivitiesIterator: + """Iterator-based activities synchronization with automatic pagination.""" + + def __init__(self, api_client, sync_config, progress_reporter): + """Initialize activities iterator. + + Args: + api_client: Garmin API client for data access + sync_config: Sync configuration with batch sizes + progress_reporter: Progress reporting interface + """ + self.api_client = api_client + self.sync_config = sync_config + self.progress = progress_reporter + + # Iterator state + self.current_activity = None + self.current_activity_date = None + self.activities_cache = [] + self.batch_offset = 0 + self.has_more_data = True + + def initialize(self): + """Initialize the iterator by loading first batch.""" + self._load_next_batch() + self._advance_to_next_activity() + + def _load_next_batch(self) -> bool: + """Load next batch of activities from API.""" + if not self.has_more_data: + return False + + try: + batch_size = self.sync_config.activities_batch_size + activities_batch = self.api_client.metrics.get('activities').list( + limit=batch_size, + start=self.batch_offset + ) + + if not activities_batch or len(activities_batch) == 0: + self.has_more_data = False + return False + + # Append to cache and update offset + self.activities_cache.extend(activities_batch) + self.batch_offset += len(activities_batch) + + # Check if we got less than requested (indicates end of data) + if len(activities_batch) < batch_size: + self.has_more_data = False + + return True + + except Exception as e: + self.progress.warning(f"Failed to load activities batch at offset {self.batch_offset}: {e}") + self.has_more_data = False + return False + + def _advance_to_next_activity(self) -> bool: + """Advance to next activity, loading batches as needed.""" + while True: + # If cache is empty, try to load more + if not self.activities_cache: + if not self._load_next_batch(): + self.current_activity = None + self.current_activity_date = None + return False + + # Get next activity from cache + if self.activities_cache: + self.current_activity = self.activities_cache.pop(0) + self.current_activity_date = self._extract_activity_date(self.current_activity) + return True + else: + # No more activities available + self.current_activity = None + self.current_activity_date = None + return False + + def _extract_activity_date(self, activity) -> Optional[date]: + """Extract activity date from various possible fields.""" + start_time = None + + # Try different attribute names for start time + for attr in ['start_time_local', 'startTimeLocal', 'start_time', 'activityDate']: + if hasattr(activity, attr): + start_time = getattr(activity, attr) + break + + if start_time: + try: + # Handle ISO string format + if isinstance(start_time, str): + from datetime import datetime + start_time = start_time.replace('Z', '+00:00') + if '.' in start_time and '+' in start_time: + dt = datetime.fromisoformat(start_time) + else: + dt = datetime.fromisoformat(start_time) + return dt.date() + elif hasattr(start_time, 'date'): + return start_time.date() + except Exception: + pass + return None + + def get_activities_for_date(self, target_date: date) -> List[Any]: + """Get all activities for a specific date.""" + activities = [] + + # Ensure we have a current activity + if self.current_activity is None: + if not self._advance_to_next_activity(): + return activities + + # Process activities while they match or are newer than target_date + while self.current_activity is not None: + if self.current_activity_date is None: + # Skip activities without dates + if not self._advance_to_next_activity(): + break + continue + + if self.current_activity_date > target_date: + # Activity is newer than target - skip it + if not self._advance_to_next_activity(): + break + continue + + elif self.current_activity_date == target_date: + # Activity matches target date - collect it + activities.append(self.current_activity) + if not self._advance_to_next_activity(): + break + continue + + else: # self.current_activity_date < target_date + # Activity is older than target - we're done for this date + break + + return activities \ No newline at end of file diff --git a/src/garmy/localdb/config.py b/src/garmy/localdb/config.py index 2891db2..0f112ad 100644 --- a/src/garmy/localdb/config.py +++ b/src/garmy/localdb/config.py @@ -26,6 +26,9 @@ class SyncConfig: # Timeseries validation min_timeseries_fields: int = 2 + + # Sync range limits + max_sync_days: int = 3650 # ~10 years maximum sync range @dataclass diff --git a/src/garmy/localdb/db.py b/src/garmy/localdb/db.py index a4b4d6d..d4c1edf 100644 --- a/src/garmy/localdb/db.py +++ b/src/garmy/localdb/db.py @@ -1,4 +1,4 @@ -"""Simple SQLite database for health metrics storage.""" +"""Minimal SQLite database for health metrics storage.""" import json import sqlite3 @@ -8,6 +8,7 @@ from typing import List, Optional, Dict, Any, Tuple, TYPE_CHECKING from .models import MetricType +from .schema import HEALTH_DB_SCHEMA if TYPE_CHECKING: from .config import DatabaseConfig @@ -24,16 +25,9 @@ def _get_default_config() -> 'DatabaseConfig': return DatabaseConfig() -class HealthMetric: - """Simple data class for health metrics.""" - def __init__(self, user_id: int, metric_date: date, data: Dict[str, Any]): - self.user_id = user_id - self.metric_date = metric_date - self.data = data - class HealthDB: - """Simple SQLite database for health metrics.""" + """Minimal SQLite database for health metrics.""" def __init__(self, db_path: Path = Path("health.db"), @@ -49,141 +43,40 @@ def __init__(self, self._init_schema() def _init_schema(self): - """Initialize database schema.""" + """Initialize database schema using centralized schema definition.""" try: with self.connection() as conn: - # Daily aggregated metrics - conn.execute(""" - CREATE TABLE IF NOT EXISTS daily_metrics ( - user_id INTEGER NOT NULL, - metric_date DATE NOT NULL, - data JSON NOT NULL, - created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - PRIMARY KEY (user_id, metric_date) - ) - """) - - # High-frequency timeseries data - conn.execute(""" - CREATE TABLE IF NOT EXISTS timeseries ( - user_id INTEGER NOT NULL, - metric_type TEXT NOT NULL, - timestamp INTEGER NOT NULL, - value REAL NOT NULL, - metadata JSON, - PRIMARY KEY (user_id, metric_type, timestamp) - ) - """) - - # Activities table for efficient querying - conn.execute(""" - CREATE TABLE IF NOT EXISTS activities ( - user_id INTEGER NOT NULL, - activity_id TEXT NOT NULL, - activity_date DATE NOT NULL, - activity_name TEXT, - duration_seconds INTEGER, - avg_heart_rate INTEGER, - training_load REAL, - start_time TEXT, - created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - PRIMARY KEY (user_id, activity_id) - ) - """) - - # Normalized daily health metrics for efficient querying - conn.execute(""" - CREATE TABLE IF NOT EXISTS daily_health_metrics ( - user_id INTEGER NOT NULL, - metric_date DATE NOT NULL, - - -- Steps & Distance - total_steps INTEGER, - step_goal INTEGER, - total_distance_meters REAL, - - -- Calories - total_calories INTEGER, - active_calories INTEGER, - bmr_calories INTEGER, - - -- Heart Rate (daily summary) - resting_heart_rate INTEGER, - max_heart_rate INTEGER, - min_heart_rate INTEGER, - average_heart_rate INTEGER, - - -- Stress - avg_stress_level INTEGER, - max_stress_level INTEGER, - - -- Body Battery - body_battery_high INTEGER, - body_battery_low INTEGER, - - -- Sleep Duration (hours) - sleep_duration_hours REAL, - deep_sleep_hours REAL, - light_sleep_hours REAL, - rem_sleep_hours REAL, - awake_hours REAL, - - -- Sleep Percentages - deep_sleep_percentage REAL, - light_sleep_percentage REAL, - rem_sleep_percentage REAL, - awake_percentage REAL, - - -- Sleep Quality - average_spo2 REAL, - average_respiration REAL, - - -- Training Readiness - training_readiness_score INTEGER, - training_readiness_level TEXT, - training_readiness_feedback TEXT, - - -- HRV - hrv_weekly_avg REAL, - hrv_last_night_avg REAL, - hrv_status TEXT, - - -- Respiration - avg_waking_respiration_value REAL, - avg_sleep_respiration_value REAL, - lowest_respiration_value REAL, - highest_respiration_value REAL, - - -- Metadata - created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - - PRIMARY KEY (user_id, metric_date) - ) - """) - - # Indices for performance - conn.execute("CREATE INDEX IF NOT EXISTS idx_daily_user_date ON daily_metrics(user_id, metric_date)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_timeseries_user_type_time ON timeseries(user_id, metric_type, timestamp)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_activities_user_date ON activities(user_id, activity_date)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_activities_name ON activities(activity_name)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_activities_duration ON activities(duration_seconds)") - - # Indices for daily health metrics - conn.execute("CREATE INDEX IF NOT EXISTS idx_health_user_date ON daily_health_metrics(user_id, metric_date)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_health_steps ON daily_health_metrics(total_steps)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_health_sleep_duration ON daily_health_metrics(sleep_duration_hours)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_health_resting_hr ON daily_health_metrics(resting_heart_rate)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_health_stress ON daily_health_metrics(avg_stress_level)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_health_body_battery ON daily_health_metrics(body_battery_high)") - conn.execute("CREATE INDEX IF NOT EXISTS idx_health_training_readiness ON daily_health_metrics(training_readiness_score)") - + # Execute all schema statements from the centralized definition + for statement in HEALTH_DB_SCHEMA.get_all_sql_statements(): + conn.execute(statement) + except sqlite3.Error as e: raise RuntimeError(f"Failed to initialize database schema: {e}") except Exception as e: raise RuntimeError(f"Unexpected error during database initialization: {e}") + def get_schema_info(self) -> Dict[str, Any]: + """Get current database schema information.""" + from .schema import get_schema_info + return get_schema_info() + + def validate_schema(self) -> bool: + """Validate current database schema matches expected schema.""" + from .schema import get_table_names + + try: + with self.connection() as conn: + # Check if all expected tables exist + expected_tables = set(get_table_names()) + existing_tables = set() + + for table_info in conn.execute("SELECT name FROM sqlite_master WHERE type='table'").fetchall(): + existing_tables.add(table_info[0]) + + return expected_tables.issubset(existing_tables) + except sqlite3.Error: + return False + @contextmanager def connection(self): """Database connection context manager.""" @@ -203,25 +96,9 @@ def connection(self): finally: conn.close() - def store_daily_metric(self, user_id: int, metric_date: date, data: Dict[str, Any]): - """Store or update daily metric data.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(metric_date, date): - raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") - if not isinstance(data, dict): - raise ValueError(f"data must be a dictionary, got {type(data)}") - - try: - with self.connection() as conn: - conn.execute(""" - INSERT OR REPLACE INTO daily_metrics (user_id, metric_date, data, updated_at) - VALUES (?, ?, ?, CURRENT_TIMESTAMP) - """, (user_id, metric_date.isoformat(), json.dumps(data))) - except sqlite3.Error as e: - raise RuntimeError(f"Failed to store daily metric: {e}") - except (TypeError, ValueError) as e: - raise ValueError(f"Invalid data format for JSON serialization: {e}") + # ======================================================================================== + # CORE STORAGE METHODS (Required for sync) + # ======================================================================================== def store_timeseries_batch(self, user_id: int, metric_type: MetricType, data: List[Tuple]): """Store batch of timeseries data.""" @@ -340,81 +217,9 @@ def store_health_metric(self, user_id: int, metric_date: date, **kwargs): except (TypeError, ValueError) as e: raise ValueError(f"Invalid health metric data: {e}") - def get_daily_metrics(self, user_id: int, start_date: date, end_date: date) -> List[HealthMetric]: - """Get daily metrics for date range.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(start_date, date): - raise ValueError(f"start_date must be a date object, got {type(start_date)}") - if not isinstance(end_date, date): - raise ValueError(f"end_date must be a date object, got {type(end_date)}") - if start_date > end_date: - raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") - - try: - with self.connection() as conn: - rows = conn.execute(""" - SELECT user_id, metric_date, data - FROM daily_metrics - WHERE user_id = ? AND metric_date BETWEEN ? AND ? - ORDER BY metric_date - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() - - return [HealthMetric( - user_id=row['user_id'], - metric_date=date.fromisoformat(row['metric_date']), - data=json.loads(row['data']) - ) for row in rows] - except sqlite3.Error as e: - raise RuntimeError(f"Failed to fetch daily metrics: {e}") - except (json.JSONDecodeError, ValueError) as e: - raise RuntimeError(f"Database contains invalid data: {e}") - - def get_timeseries(self, user_id: int, metric_type: MetricType, - start_time: int, end_time: int) -> List[Tuple[int, float, Dict]]: - """Get timeseries data for time range.""" - with self.connection() as conn: - rows = conn.execute(""" - SELECT timestamp, value, metadata - FROM timeseries - WHERE user_id = ? AND metric_type = ? AND timestamp BETWEEN ? AND ? - ORDER BY timestamp - """, (user_id, metric_type.value, start_time, end_time)).fetchall() - - return [(row['timestamp'], row['value'], - json.loads(row['metadata']) if row['metadata'] else {}) - for row in rows] - - def get_activities(self, user_id: int, start_date: date, end_date: date, - activity_name: Optional[str] = None) -> List[Dict[str, Any]]: - """Get activities for date range with optional filtering by activity name.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(start_date, date): - raise ValueError(f"start_date must be a date object, got {type(start_date)}") - if not isinstance(end_date, date): - raise ValueError(f"end_date must be a date object, got {type(end_date)}") - if start_date > end_date: - raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") - - try: - with self.connection() as conn: - if activity_name: - rows = conn.execute(""" - SELECT * FROM activities - WHERE user_id = ? AND activity_date BETWEEN ? AND ? AND activity_name = ? - ORDER BY activity_date, start_time - """, (user_id, start_date.isoformat(), end_date.isoformat(), activity_name)).fetchall() - else: - rows = conn.execute(""" - SELECT * FROM activities - WHERE user_id = ? AND activity_date BETWEEN ? AND ? - ORDER BY activity_date, start_time - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() - - return [dict(row) for row in rows] - except sqlite3.Error as e: - raise RuntimeError(f"Failed to fetch activities: {e}") + # ======================================================================================== + # EXISTENCE CHECKS (Required for sync) + # ======================================================================================== def activity_exists(self, user_id: int, activity_id: str) -> bool: """Check if activity already exists.""" @@ -433,6 +238,27 @@ def activity_exists(self, user_id: int, activity_id: str) -> bool: except sqlite3.Error as e: raise RuntimeError(f"Failed to check activity existence: {e}") + def health_metric_exists(self, user_id: int, metric_date: date) -> bool: + """Check if health metrics exist for a specific date.""" + if not isinstance(user_id, int) or user_id <= 0: + raise ValueError(f"Invalid user_id: {user_id}") + if not isinstance(metric_date, date): + raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") + + try: + with self.connection() as conn: + result = conn.execute( + "SELECT 1 FROM daily_health_metrics WHERE user_id = ? AND metric_date = ?", + (user_id, metric_date.isoformat()) + ).fetchone() + return result is not None + except sqlite3.Error as e: + raise RuntimeError(f"Failed to check health metric existence: {e}") + + # ======================================================================================== + # BASIC QUERIES (Required for sync and export) + # ======================================================================================== + def get_health_metrics(self, user_id: int, start_date: date, end_date: date) -> List[Dict[str, Any]]: """Get normalized daily health metrics for date range.""" if not isinstance(user_id, int) or user_id <= 0: @@ -456,137 +282,48 @@ def get_health_metrics(self, user_id: int, start_date: date, end_date: date) -> except sqlite3.Error as e: raise RuntimeError(f"Failed to fetch health metrics: {e}") - def health_metric_exists(self, user_id: int, metric_date: date) -> bool: - """Check if health metrics exist for a specific date.""" + def get_activities(self, user_id: int, start_date: date, end_date: date, + activity_name: Optional[str] = None) -> List[Dict[str, Any]]: + """Get activities for date range with optional filtering by activity name.""" if not isinstance(user_id, int) or user_id <= 0: raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(metric_date, date): - raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") + if not isinstance(start_date, date): + raise ValueError(f"start_date must be a date object, got {type(start_date)}") + if not isinstance(end_date, date): + raise ValueError(f"end_date must be a date object, got {type(end_date)}") + if start_date > end_date: + raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") try: with self.connection() as conn: - result = conn.execute( - "SELECT 1 FROM daily_health_metrics WHERE user_id = ? AND metric_date = ?", - (user_id, metric_date.isoformat()) - ).fetchone() - return result is not None - except sqlite3.Error as e: - raise RuntimeError(f"Failed to check health metric existence: {e}") - - def get_sleep_analysis(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: - """Get sleep analysis with aggregated statistics.""" - try: - with self.connection() as conn: - result = conn.execute(""" - SELECT - COUNT(*) as total_nights, - AVG(sleep_duration_hours) as avg_sleep_duration, - AVG(deep_sleep_percentage) as avg_deep_sleep_pct, - AVG(rem_sleep_percentage) as avg_rem_sleep_pct, - AVG(average_spo2) as avg_spo2, - MIN(sleep_duration_hours) as min_sleep, - MAX(sleep_duration_hours) as max_sleep - FROM daily_health_metrics - WHERE user_id = ? AND metric_date BETWEEN ? AND ? - AND sleep_duration_hours IS NOT NULL - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() - - return dict(result) if result else {} - except sqlite3.Error as e: - raise RuntimeError(f"Failed to get sleep analysis: {e}") - - def get_activity_summary(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: - """Get activity summary with aggregated statistics.""" - try: - with self.connection() as conn: - result = conn.execute(""" - SELECT - COUNT(*) as total_activities, - COUNT(DISTINCT activity_name) as unique_activity_types, - SUM(duration_seconds) as total_duration_seconds, - AVG(duration_seconds) as avg_duration_seconds, - AVG(avg_heart_rate) as avg_heart_rate_across_activities, - activity_name as most_common_activity - FROM activities - WHERE user_id = ? AND activity_date BETWEEN ? AND ? - GROUP BY activity_name - ORDER BY COUNT(*) DESC - LIMIT 1 - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() - - return dict(result) if result else {} - except sqlite3.Error as e: - raise RuntimeError(f"Failed to get activity summary: {e}") - - def get_health_trends(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: - """Get health trends and correlations.""" - try: - with self.connection() as conn: - result = conn.execute(""" - SELECT - AVG(total_steps) as avg_daily_steps, - AVG(resting_heart_rate) as avg_resting_hr, - AVG(avg_stress_level) as avg_stress, - AVG(body_battery_high) as avg_body_battery_high, - AVG(training_readiness_score) as avg_training_readiness, - COUNT(CASE WHEN total_steps > 10000 THEN 1 END) as days_over_10k_steps, - COUNT(CASE WHEN sleep_duration_hours > 8 THEN 1 END) as days_over_8h_sleep - FROM daily_health_metrics - WHERE user_id = ? AND metric_date BETWEEN ? AND ? - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() + if activity_name: + rows = conn.execute(""" + SELECT * FROM activities + WHERE user_id = ? AND activity_date BETWEEN ? AND ? AND activity_name = ? + ORDER BY activity_date, start_time + """, (user_id, start_date.isoformat(), end_date.isoformat(), activity_name)).fetchall() + else: + rows = conn.execute(""" + SELECT * FROM activities + WHERE user_id = ? AND activity_date BETWEEN ? AND ? + ORDER BY activity_date, start_time + """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() - return dict(result) if result else {} + return [dict(row) for row in rows] except sqlite3.Error as e: - raise RuntimeError(f"Failed to get health trends: {e}") + raise RuntimeError(f"Failed to fetch activities: {e}") - def get_stats(self) -> Dict[str, Any]: - """Get database statistics.""" + def get_timeseries(self, user_id: int, metric_type: MetricType, + start_time: int, end_time: int) -> List[Tuple[int, float, Dict]]: + """Get timeseries data for time range.""" with self.connection() as conn: - stats = {} - - # Count records - stats['daily_metrics_count'] = conn.execute("SELECT COUNT(*) FROM daily_metrics").fetchone()[0] - stats['timeseries_count'] = conn.execute("SELECT COUNT(*) FROM timeseries").fetchone()[0] - stats['activities_count'] = conn.execute("SELECT COUNT(*) FROM activities").fetchone()[0] - stats['health_metrics_count'] = conn.execute("SELECT COUNT(*) FROM daily_health_metrics").fetchone()[0] - - # Users - stats['users'] = conn.execute("SELECT COUNT(DISTINCT user_id) FROM daily_health_metrics").fetchone()[0] - - # Date range from new normalized table - date_range = conn.execute(""" - SELECT MIN(metric_date) as min_date, MAX(metric_date) as max_date - FROM daily_health_metrics - """).fetchone() - stats['date_range'] = dict(date_range) if date_range['min_date'] else {} - - # Health metrics coverage - coverage = conn.execute(""" - SELECT - COUNT(CASE WHEN total_steps IS NOT NULL THEN 1 END) as days_with_steps, - COUNT(CASE WHEN sleep_duration_hours IS NOT NULL THEN 1 END) as days_with_sleep, - COUNT(CASE WHEN resting_heart_rate IS NOT NULL THEN 1 END) as days_with_hr, - COUNT(CASE WHEN training_readiness_score IS NOT NULL THEN 1 END) as days_with_readiness - FROM daily_health_metrics - """).fetchone() - stats['coverage'] = dict(coverage) if coverage else {} + rows = conn.execute(""" + SELECT timestamp, value, metadata + FROM timeseries + WHERE user_id = ? AND metric_type = ? AND timestamp BETWEEN ? AND ? + ORDER BY timestamp + """, (user_id, metric_type.value, start_time, end_time)).fetchall() - return stats - - def has_data_for_date(self, user_id: int, metric_type: MetricType, sync_date: date) -> bool: - """Check if legacy data exists for specific date and metric (for backwards compatibility).""" - # Check daily data (legacy JSON storage) - daily_data = self.get_daily_metrics(user_id, sync_date, sync_date) - if daily_data and metric_type.value in daily_data[0].data: - return True - - # Check timeseries data for timeseries metrics - if metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, - MetricType.HEART_RATE, MetricType.RESPIRATION]: - start_ts = int(sync_date.strftime('%s')) * self.config.ms_per_second - end_ts = start_ts + (self.config.seconds_per_day * self.config.ms_per_second) - 1 - timeseries_data = self.get_timeseries(user_id, metric_type, start_ts, end_ts) - if timeseries_data: - return True - - return False \ No newline at end of file + return [(row['timestamp'], row['value'], + json.loads(row['metadata']) if row['metadata'] else {}) + for row in rows] \ No newline at end of file diff --git a/src/garmy/localdb/extractors.py b/src/garmy/localdb/extractors.py new file mode 100644 index 0000000..91eb042 --- /dev/null +++ b/src/garmy/localdb/extractors.py @@ -0,0 +1,142 @@ +"""Data extraction utilities for converting API responses to database format.""" + +from datetime import date +from typing import Any, Dict, List, Optional, Tuple +from .models import MetricType + + +class DataExtractor: + """Extracts and normalizes data from API responses for database storage.""" + + def extract_metric_data(self, data: Any, metric_type: MetricType) -> Optional[Dict]: + """Extract data based on metric type.""" + if metric_type == MetricType.DAILY_SUMMARY: + return self._extract_daily_summary_data(data) + elif metric_type == MetricType.SLEEP: + return self._extract_sleep_data(data) + elif metric_type == MetricType.TRAINING_READINESS: + return self._extract_training_readiness_data(data) + elif metric_type == MetricType.HRV: + return self._extract_hrv_data(data) + elif metric_type == MetricType.RESPIRATION: + return self._extract_respiration_summary(data) + elif metric_type == MetricType.ACTIVITIES: + return self._extract_activity_data(data) + else: + return None + + def _extract_daily_summary_data(self, data: Any) -> Dict[str, Any]: + """Extract daily summary data.""" + return { + 'total_steps': getattr(data, 'total_steps', None), + 'step_goal': getattr(data, 'step_goal', None), + 'total_distance_meters': getattr(data, 'total_distance_meters', None), + 'total_calories': getattr(data, 'total_kilocalories', None), + 'active_calories': getattr(data, 'active_kilocalories', None), + 'bmr_calories': getattr(data, 'bmr_kilocalories', None), + 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), + 'max_heart_rate': getattr(data, 'max_heart_rate', None), + 'min_heart_rate': getattr(data, 'min_heart_rate', None), + 'average_heart_rate': getattr(data, 'average_heart_rate', None), + 'avg_stress_level': getattr(data, 'avg_stress_level', None), + 'max_stress_level': getattr(data, 'max_stress_level', None), + 'body_battery_high': getattr(data, 'body_battery_highest_value', None), + 'body_battery_low': getattr(data, 'body_battery_lowest_value', None) + } + + def _extract_sleep_data(self, data: Any) -> Dict[str, Any]: + """Extract sleep data with percentages and durations.""" + sleep_data = { + 'sleep_duration_hours': getattr(data, 'sleep_time_seconds', 0) / 3600 if getattr(data, 'sleep_time_seconds', None) else None, + 'deep_sleep_percentage': getattr(data, 'deep_sleep_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'deep_sleep_seconds', None) else None, + 'light_sleep_percentage': getattr(data, 'light_sleep_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'light_sleep_seconds', None) else None, + 'rem_sleep_percentage': getattr(data, 'rem_sleep_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'rem_sleep_seconds', None) else None, + 'awake_percentage': getattr(data, 'awake_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'awake_seconds', None) else None, + 'average_spo2': getattr(data, 'average_sp_o2_value', None), + 'average_respiration': getattr(data, 'average_respiration_value', None) + } + return sleep_data + + def _extract_heart_rate_summary(self, data: Any) -> Dict[str, Any]: + """Extract heart rate summary data.""" + return { + 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), + 'max_heart_rate': getattr(data, 'max_heart_rate', None), + 'min_heart_rate': getattr(data, 'min_heart_rate', None) + } + + def _extract_training_readiness_data(self, data: Any) -> Dict[str, Any]: + """Extract training readiness nested data.""" + return { + 'score': getattr(data, 'score', None), + 'level': getattr(data, 'level', None), + 'feedback': getattr(data, 'feedback_short', None) + } + + def _extract_hrv_data(self, data: Any) -> Dict[str, Any]: + """Extract HRV using nested summary.""" + hrv_summary = getattr(data, 'hrv_summary', None) + if hrv_summary: + return { + 'weekly_avg': getattr(hrv_summary, 'weekly_avg', None), + 'last_night_avg': getattr(hrv_summary, 'last_night_avg', None), + 'status': getattr(hrv_summary, 'status', None) + } + return {} + + def _extract_respiration_summary(self, data: Any) -> Dict[str, Any]: + """Extract respiration summary - unique respiratory metrics.""" + summary = getattr(data, 'respiration_summary', None) + if summary: + return { + 'avg_waking_respiration_value': getattr(summary, 'avg_waking_respiration_value', None), + 'avg_sleep_respiration_value': getattr(summary, 'avg_sleep_respiration_value', None), + 'lowest_respiration_value': getattr(summary, 'lowest_respiration_value', None), + 'highest_respiration_value': getattr(summary, 'highest_respiration_value', None) + } + return {} + + def _extract_activity_data(self, data: Any) -> Dict[str, Any]: + """Extract activity data from both parsed and raw formats.""" + # Handle both object attributes and dict keys + def get_value(obj, *keys): + for key in keys: + if hasattr(obj, key): + return getattr(obj, key, None) + elif isinstance(obj, dict) and key in obj: + return obj[key] + return None + + activity_id = get_value(data, 'activity_id', 'activityId') + if activity_id: + return { + 'activity_id': activity_id, + 'activity_name': get_value(data, 'activity_name', 'activityName', 'activityTypeName'), + 'duration_seconds': get_value(data, 'duration', 'movingDuration', 'elapsedDuration'), + 'avg_heart_rate': get_value(data, 'average_hr', 'averageHR', 'avgHR'), + 'training_load': get_value(data, 'activity_training_load', 'trainingLoad'), + 'start_time': get_value(data, 'start_time_local', 'startTimeLocal', 'start_time') + } + return {} + + def extract_timeseries_data(self, data: Any, metric_type: MetricType) -> List[Tuple]: + """Extract timeseries data points.""" + if not hasattr(data, 'data_points') or not data.data_points: + return [] + + timeseries_data = [] + for point in data.data_points: + if hasattr(point, 'timestamp') and hasattr(point, 'value'): + timestamp = point.timestamp + value = point.value + metadata = {} + + # Add metric-specific metadata + if metric_type == MetricType.HEART_RATE and hasattr(point, 'zone'): + metadata['zone'] = point.zone + elif metric_type == MetricType.STRESS and hasattr(point, 'stress_level'): + metadata['stress_level'] = point.stress_level + + timeseries_data.append((timestamp, value, metadata)) + + return timeseries_data \ No newline at end of file diff --git a/src/garmy/localdb/schema.py b/src/garmy/localdb/schema.py new file mode 100644 index 0000000..3b78cdd --- /dev/null +++ b/src/garmy/localdb/schema.py @@ -0,0 +1,250 @@ +""" +Health Database Schema Definition + +This module contains the complete database schema for the Garmin health metrics system. +Separating schema from database logic improves maintainability and makes schema evolution easier. +""" + +from dataclasses import dataclass +from typing import List, Dict, Any, Optional +from enum import Enum + + +class SchemaVersion(Enum): + """Database schema versions for migration support.""" + V1_0_0 = "1.0.0" + CURRENT = V1_0_0 + + +@dataclass +class TableDefinition: + """Definition of a database table.""" + name: str + sql: str + description: str + primary_key: List[str] + indexes: List[str] + + +@dataclass +class DatabaseSchema: + """Complete database schema with tables and indexes.""" + version: SchemaVersion + tables: List[TableDefinition] + global_indexes: List[str] + + def get_table(self, name: str) -> Optional[TableDefinition]: + """Get table definition by name.""" + return next((t for t in self.tables if t.name == name), None) + + def get_all_sql_statements(self) -> List[str]: + """Get all SQL statements needed to create the schema.""" + statements = [] + + # Add table creation statements + for table in self.tables: + statements.append(table.sql) + + # Add table-specific indexes + for table in self.tables: + statements.extend(table.indexes) + + # Add global indexes + statements.extend(self.global_indexes) + + return statements + + +# ======================================================================================== +# TABLE DEFINITIONS +# ======================================================================================== + +# Note: daily_metrics table removed - JSON storage no longer supported + +# High-frequency timeseries data +TIMESERIES = TableDefinition( + name="timeseries", + description="High-frequency timeseries data (heart rate, stress, body battery, etc.)", + primary_key=["user_id", "metric_type", "timestamp"], + sql=""" + CREATE TABLE IF NOT EXISTS timeseries ( + user_id INTEGER NOT NULL, + metric_type TEXT NOT NULL, + timestamp INTEGER NOT NULL, + value REAL NOT NULL, + metadata JSON, + PRIMARY KEY (user_id, metric_type, timestamp) + ) + """, + indexes=[ + "CREATE INDEX IF NOT EXISTS idx_timeseries_user_type_time ON timeseries(user_id, metric_type, timestamp)" + ] +) + +# Activities table for efficient querying +ACTIVITIES = TableDefinition( + name="activities", + description="Individual activities and workouts with key metrics", + primary_key=["user_id", "activity_id"], + sql=""" + CREATE TABLE IF NOT EXISTS activities ( + user_id INTEGER NOT NULL, + activity_id TEXT NOT NULL, + activity_date DATE NOT NULL, + activity_name TEXT, + duration_seconds INTEGER, + avg_heart_rate INTEGER, + training_load REAL, + start_time TEXT, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + PRIMARY KEY (user_id, activity_id) + ) + """, + indexes=[ + "CREATE INDEX IF NOT EXISTS idx_activities_user_date ON activities(user_id, activity_date)", + "CREATE INDEX IF NOT EXISTS idx_activities_name ON activities(activity_name)", + "CREATE INDEX IF NOT EXISTS idx_activities_duration ON activities(duration_seconds)" + ] +) + +# Normalized daily health metrics for efficient querying +DAILY_HEALTH_METRICS = TableDefinition( + name="daily_health_metrics", + description="Normalized daily health metrics with dedicated columns for efficient querying", + primary_key=["user_id", "metric_date"], + sql=""" + CREATE TABLE IF NOT EXISTS daily_health_metrics ( + user_id INTEGER NOT NULL, + metric_date DATE NOT NULL, + + -- Steps & Distance + total_steps INTEGER, + step_goal INTEGER, + total_distance_meters REAL, + + -- Calories + total_calories INTEGER, + active_calories INTEGER, + bmr_calories INTEGER, + + -- Heart Rate (daily summary) + resting_heart_rate INTEGER, + max_heart_rate INTEGER, + min_heart_rate INTEGER, + average_heart_rate INTEGER, + + -- Stress + avg_stress_level INTEGER, + max_stress_level INTEGER, + + -- Body Battery + body_battery_high INTEGER, + body_battery_low INTEGER, + + -- Sleep Duration (hours) + sleep_duration_hours REAL, + deep_sleep_hours REAL, + light_sleep_hours REAL, + rem_sleep_hours REAL, + awake_hours REAL, + + -- Sleep Percentages + deep_sleep_percentage REAL, + light_sleep_percentage REAL, + rem_sleep_percentage REAL, + awake_percentage REAL, + + -- Sleep Quality + average_spo2 REAL, + average_respiration REAL, + + -- Training Readiness + training_readiness_score INTEGER, + training_readiness_level TEXT, + training_readiness_feedback TEXT, + + -- HRV (Heart Rate Variability) + hrv_weekly_avg REAL, + hrv_last_night_avg REAL, + hrv_status TEXT, + + -- Respiration + avg_waking_respiration_value REAL, + avg_sleep_respiration_value REAL, + lowest_respiration_value REAL, + highest_respiration_value REAL, + + -- Metadata + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + + PRIMARY KEY (user_id, metric_date) + ) + """, + indexes=[ + # Primary performance indexes + "CREATE INDEX IF NOT EXISTS idx_health_user_date ON daily_health_metrics(user_id, metric_date)", + + # Common query indexes + "CREATE INDEX IF NOT EXISTS idx_health_steps ON daily_health_metrics(total_steps)", + "CREATE INDEX IF NOT EXISTS idx_health_sleep_duration ON daily_health_metrics(sleep_duration_hours)", + "CREATE INDEX IF NOT EXISTS idx_health_resting_hr ON daily_health_metrics(resting_heart_rate)", + "CREATE INDEX IF NOT EXISTS idx_health_stress ON daily_health_metrics(avg_stress_level)", + "CREATE INDEX IF NOT EXISTS idx_health_body_battery ON daily_health_metrics(body_battery_high)", + "CREATE INDEX IF NOT EXISTS idx_health_training_readiness ON daily_health_metrics(training_readiness_score)" + ] +) + +# ======================================================================================== +# SCHEMA DEFINITION +# ======================================================================================== + +HEALTH_DB_SCHEMA = DatabaseSchema( + version=SchemaVersion.CURRENT, + tables=[ + TIMESERIES, + ACTIVITIES, + DAILY_HEALTH_METRICS + ], + global_indexes=[] # Additional cross-table indexes can be added here +) + + +# ======================================================================================== +# SCHEMA UTILITIES +# ======================================================================================== + +def get_schema_info() -> Dict[str, Any]: + """Get comprehensive schema information.""" + return { + "version": HEALTH_DB_SCHEMA.version.value, + "tables": { + table.name: { + "description": table.description, + "primary_key": table.primary_key, + "indexes_count": len(table.indexes) + } + for table in HEALTH_DB_SCHEMA.tables + }, + "total_tables": len(HEALTH_DB_SCHEMA.tables), + "total_indexes": sum(len(table.indexes) for table in HEALTH_DB_SCHEMA.tables) + len(HEALTH_DB_SCHEMA.global_indexes) + } + + +def validate_schema_version(current_version: str) -> bool: + """Validate if current version matches expected schema version.""" + return current_version == HEALTH_DB_SCHEMA.version.value + + +def get_table_names() -> List[str]: + """Get list of all table names in the schema.""" + return [table.name for table in HEALTH_DB_SCHEMA.tables] + + +def get_migration_statements(from_version: SchemaVersion, to_version: SchemaVersion) -> List[str]: + """Get SQL statements for schema migration (placeholder for future use).""" + if from_version == to_version: + return [] + + # Future migration logic would go here + raise NotImplementedError(f"Migration from {from_version.value} to {to_version.value} not implemented") diff --git a/src/garmy/localdb/sync.py b/src/garmy/localdb/sync.py index ac7fe73..fb9db50 100644 --- a/src/garmy/localdb/sync.py +++ b/src/garmy/localdb/sync.py @@ -1,529 +1,220 @@ -"""Simple sequential sync manager for Garmin data.""" +"""Minimal and clean synchronization manager.""" import asyncio -import logging from datetime import date, datetime, timedelta -from typing import Optional, List, Dict, Any +from typing import List, Dict, Any, Optional from pathlib import Path -from ..core.client import APIClient -from ..auth.client import AuthClient from .db import HealthDB -from .models import MetricType from .config import LocalDBConfig +from .models import MetricType from .progress import create_reporter, ProgressReporter +from .extractors import DataExtractor +from .activities_iterator import ActivitiesIterator class SyncManager: - """Simple sequential sync manager - no task queues, no complexity.""" - - def __init__(self, - db_path: Path = Path("health.db"), + """Minimal synchronization manager for health metrics.""" + + def __init__(self, + db_path: Path = Path("health.db"), config: Optional[LocalDBConfig] = None, progress_reporter: Optional[ProgressReporter] = None): """Initialize sync manager. - + Args: - db_path: Path to SQLite database file (default: "health.db") - config: Sync configuration (default: LocalDBConfig()) - progress_reporter: Custom progress reporter (optional) + db_path: Path to SQLite database file + config: Configuration object (default: LocalDBConfig()) + progress_reporter: Custom progress reporter (default: from config) """ + self.db_path = db_path self.config = config if config is not None else LocalDBConfig() + + # Initialize database self.db = HealthDB(db_path, self.config.database) - self.api_client: Optional[APIClient] = None - self.logger = logging.getLogger(__name__) - - # ะะฐัั‚ั€ะพะนะบะฐ ะฟั€ะพะณั€ะตััะฐ + + # Initialize progress reporter if progress_reporter: self.progress = progress_reporter else: self.progress = create_reporter( self.config.sync.progress_reporter, name="garmin_sync", - show_details=self.config.sync.progress_show_details, - logger=self.logger, - log_level=logging.INFO, - progress_interval=self.config.sync.progress_log_interval + show_details=self.config.sync.progress_show_details ) - - self._setup_logging() - - def _setup_logging(self): - """Setup basic logging.""" - if not self.logger.handlers: - handler = logging.StreamHandler() - handler.setFormatter(logging.Formatter('%(levelname)s - %(message)s')) - self.logger.addHandler(handler) - self.logger.setLevel(logging.INFO) - - async def initialize(self, email: str, password: str): + + # Initialize utilities + self.extractor = DataExtractor() + self.api_client = None + self.activities_iterator = None + + def initialize(self, email: str, password: str): """Initialize with Garmin credentials.""" - if not email or not isinstance(email, str): - raise ValueError("Email must be a non-empty string") - if not password or not isinstance(password, str): - raise ValueError("Password must be a non-empty string") - try: + from garmy import AuthClient, APIClient + + # Setup authentication auth_client = AuthClient() - self.api_client = APIClient(auth_client=auth_client) auth_client.login(email, password) - self.progress.info("Garmin authentication successful") + self.api_client = APIClient(auth_client=auth_client) + + # Initialize activities iterator + self.activities_iterator = ActivitiesIterator( + self.api_client, + self.config.sync, + self.progress + ) + self.activities_iterator.initialize() + + self.progress.info("Successfully initialized Garmin API connection") + except Exception as e: - self.api_client = None - self.progress.error(f"Failed to authenticate with Garmin: {e}") - raise RuntimeError(f"Failed to authenticate with Garmin: {e}") from e - - async def sync_range(self, user_id: int, start_date: date, end_date: date, - metrics: Optional[List[MetricType]] = None, max_retries: Optional[int] = None) -> Dict[str, int]: - """ - Simple sequential sync for date range. - + self.progress.error(f"Failed to initialize: {e}") + raise + + def sync_range(self, user_id: int, start_date: date, end_date: date, + metrics: Optional[List[MetricType]] = None) -> Dict[str, int]: + """Sync metrics for date range. + Args: - user_id: User ID - start_date: Start date for sync - end_date: End date for sync - metrics: Specific metrics to sync (default: all) - max_retries: Max retry attempts per metric - + user_id: User identifier + start_date: Start of sync range + end_date: End of sync range + metrics: List of metrics to sync (default: all) + Returns: Dict with sync statistics """ if not self.api_client: - raise RuntimeError("Sync manager not initialized. Call initialize() first.") - - # Validate input parameters - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(start_date, date): - raise ValueError(f"start_date must be a date object, got {type(start_date)}") - if not isinstance(end_date, date): - raise ValueError(f"end_date must be a date object, got {type(end_date)}") - if start_date > end_date: - raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") - - if metrics is None: - metrics = list(MetricType) - elif not isinstance(metrics, list) or not all(isinstance(m, MetricType) for m in metrics): - raise ValueError("metrics must be a list of MetricType enum values") - - if max_retries is None: - max_retries = self.config.sync.max_retries - elif not isinstance(max_retries, int) or max_retries < 1: - raise ValueError(f"max_retries must be a positive integer, got {max_retries}") - + raise RuntimeError("Must call initialize() before syncing") + + # # Validate date range + # if start_date > end_date: + # raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") + # Calculate total work - date_count = (end_date - start_date).days + 1 - + date_count = abs((end_date - start_date).days) + 1 + # Prevent extremely large sync ranges - MAX_SYNC_DAYS = 3650 # ~10 years - if date_count > MAX_SYNC_DAYS: - raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {MAX_SYNC_DAYS} days") - + if date_count > self.config.sync.max_sync_days: + raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {self.config.sync.max_sync_days} days") + + # Use all metrics if none specified + if metrics is None: + metrics = list(MetricType) + + # Calculate work non_activities_metrics = [m for m in metrics if m != MetricType.ACTIVITIES] - total_tasks = date_count * len(metrics) # Include activities in total count - - stats = { - 'total_tasks': total_tasks, - 'completed': 0, - 'failed': 0, - 'skipped': 0 - } - - current_date = end_date # Start from newest date - task_num = 0 - - # Initialize activities iterator if needed - activities_iterator = None - if MetricType.ACTIVITIES in metrics: - activities_iterator = ActivitiesIterator(self.api_client, self.config.sync, self.progress) - self.progress.info(f"Initialized activities iterator for date-based sync") - - # ะะฐั‡ะธะฝะฐะตะผ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธัŽ - description = f"{date_count} days ร— {len(metrics)} metrics" - self.progress.start_sync(total_tasks, description) - - while current_date >= start_date: - # Sync regular metrics (non-activities) - for metric in non_activities_metrics: - task_num += 1 - - # Skip if already synced - if self._has_metric_data(user_id, metric, current_date): - self.progress.task_skipped(f"{metric.value} {current_date}", "Already exists") - stats['skipped'] += 1 - continue - - # Start task - self.progress.task_start(f"{metric.value} {current_date}") - - # Sync with retry logic - success = await self._sync_metric_with_retry( - user_id, metric, current_date, max_retries - ) - - if success: - self.progress.task_complete(f"{metric.value} {current_date}") - stats['completed'] += 1 - else: - self.progress.task_failed(f"{metric.value} {current_date}") - stats['failed'] += 1 - - # Rate limiting - await asyncio.sleep(self.config.sync.rate_limit_delay) - - # Sync activities for this date using iterator - if activities_iterator: - task_num += 1 - task_name = f"activities {current_date}" - - try: - self.progress.task_start(task_name) - date_activities = await activities_iterator.get_activities_for_date(current_date) - - if date_activities: - activities_synced = 0 - for activity in date_activities: - # Extract and validate activity data - activity_data = self._extract_activity_data(activity) - - if not activity_data or not activity_data.get('activity_id'): - stats['failed'] += 1 - continue - - activity_id = activity_data['activity_id'] - - # Check if already stored - if self.db.activity_exists(user_id, activity_id): - stats['skipped'] += 1 - continue - - # Store activity in dedicated table - activity_data['activity_date'] = current_date - self.db.store_activity(user_id, activity_data) - activities_synced += 1 - stats['completed'] += 1 - - if activities_synced > 0: - self.progress.activity_synced(str(current_date), activities_synced) - self.progress.task_complete(task_name, f"{activities_synced} activities") - else: - self.progress.task_skipped(task_name, "No new activities") - stats['skipped'] += 1 - else: - # No activities for this date - this is normal - self.progress.task_skipped(task_name, "No activities found") - stats['skipped'] += 1 - - except Exception as e: - self.progress.task_failed(task_name, str(e)) - stats['failed'] += 1 - - current_date -= timedelta(days=1) - - # ะ—ะฐะฒะตั€ัˆะฐะตะผ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธัŽ - success = stats['failed'] == 0 - self.progress.end_sync(success) - return stats - - async def _sync_metric_with_retry(self, user_id: int, metric_type: MetricType, - sync_date: date, max_retries: int) -> bool: - """Sync single metric with retry logic.""" - for attempt in range(max_retries): - try: - data = await self._fetch_metric_data(metric_type, sync_date) - - if data is None: - # No data available - this is normal, mark as success - return True - - # Store data in appropriate table - records_stored = self._store_metric_data(user_id, metric_type, sync_date, data) - - if records_stored > 0: - self.progress.metric_synced(metric_type.value, str(sync_date), records_stored) - - return True - - except Exception as e: - if attempt == max_retries - 1: - self.progress.error(f"Failed to sync {metric_type.value} for {sync_date} after {max_retries} attempts: {e}") - return False - else: - wait_time = self.config.sync.retry_exponential_base ** attempt # Exponential backoff - self.progress.warning(f"Retry {attempt + 1}/{max_retries} for {metric_type.value} {sync_date} in {wait_time}s: {e}") - await asyncio.sleep(wait_time) - - return False - - # Note: _sync_activities_batch method removed - replaced with ActivitiesIterator integration - - # Note: _extract_activity_date moved to ActivitiesIterator class - - - async def _fetch_metric_data(self, metric_type: MetricType, sync_date: date) -> Optional[Any]: - """Fetch metric data from Garmin API.""" - date_str = sync_date.strftime('%Y-%m-%d') - + total_tasks = date_count * len(metrics) + + # Initialize progress + self.progress.start_sync(total_tasks, f"Syncing {date_count} days") + + # Sync statistics + stats = {'completed': 0, 'skipped': 0, 'failed': 0, 'total_tasks': total_tasks} + try: - metric_accessor = self.api_client.metrics.get(metric_type.value) - - if metric_type == MetricType.ACTIVITIES: - # Activities API doesn't support date-specific queries - # Skip individual date sync - activities are handled separately - return None - else: - data = metric_accessor.get(date_str) - - return data if isinstance(data, list) else [data] if data else None - + # Process each date + for current_date in self._date_range(start_date, end_date): + self._sync_date(user_id, current_date, metrics, stats) + except Exception as e: - error_str = str(e).lower() - # Handle common "no data" scenarios - if any(phrase in error_str for phrase in [ - "404", "no data", "not found", "missing 1 required positional argument", - "required field", "missing required", "validation error" - ]): - return None - # Re-raise unexpected errors with context - raise RuntimeError(f"Failed to fetch {metric_type.value} data for {date_str}: {e}") from e - - def _store_metric_data(self, user_id: int, metric_type: MetricType, - sync_date: date, data: List[Any]) -> int: - """Store metric data using proper extraction methods.""" - records_stored = 0 - - for item in data: + self.progress.error(f"Sync failed: {e}") + raise + finally: + self.progress.end_sync(stats['failed'] == 0) + + return stats + + def _sync_date(self, user_id: int, sync_date: date, metrics: List[MetricType], stats: Dict[str, int]): + """Sync all metrics for a single date.""" + for metric_type in metrics: try: - # Extract data using metric-specific methods - extracted_data = self._extract_metric_data(item, metric_type) - - # Only store if there's actual data (not empty dict) - if extracted_data and any(value is not None for value in extracted_data.values()): - if metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, - MetricType.HEART_RATE, MetricType.RESPIRATION]: - # Try timeseries first, fallback to summary - timeseries_data = self._extract_timeseries_data(item, metric_type) - if timeseries_data: - self.db.store_timeseries_batch(user_id, metric_type, timeseries_data) - records_stored += len(timeseries_data) - - # Also store summary data in normalized table - if extracted_data: - self._store_health_metric(user_id, sync_date, metric_type, extracted_data) - records_stored += 1 - elif metric_type in [MetricType.DAILY_SUMMARY, MetricType.SLEEP, - MetricType.TRAINING_READINESS, MetricType.HRV]: - # Store in normalized health metrics table - self._store_health_metric(user_id, sync_date, metric_type, extracted_data) - records_stored += 1 - else: - # Legacy metrics - skip or log warning - self.progress.warning(f"Metric {metric_type.value} not supported in normalized schema") - records_stored += 1 - + if metric_type == MetricType.ACTIVITIES: + self._sync_activities_for_date(user_id, sync_date, stats) + else: + self._sync_metric_for_date(user_id, sync_date, metric_type, stats) + except Exception as e: - self.progress.warning(f"Failed to process {metric_type.value} item: {e}") - - return records_stored - - def _extract_metric_data(self, data: Any, metric_type: MetricType) -> Optional[Dict]: - """Extract data using proper metric architecture.""" + self.progress.warning(f"Failed to sync {metric_type.value} for {sync_date}: {e}") + stats['failed'] += 1 + + def _sync_metric_for_date(self, user_id: int, sync_date: date, metric_type: MetricType, stats: Dict[str, int]): + """Sync a single metric for a date.""" + # Check if already exists + if self._has_metric_data(user_id, metric_type, sync_date): + stats['skipped'] += 1 + self.progress.task_skipped(f"{metric_type.value} for {sync_date}", "Already exists") + return + try: - if metric_type == MetricType.DAILY_SUMMARY: - return self._extract_daily_summary_data(data) - elif metric_type == MetricType.SLEEP: - return self._extract_sleep_data(data) - elif metric_type == MetricType.HEART_RATE: - return self._extract_heart_rate_summary(data) - elif metric_type == MetricType.TRAINING_READINESS: - return self._extract_training_readiness_data(data) - elif metric_type == MetricType.HRV: - return self._extract_hrv_data(data) - elif metric_type == MetricType.RESPIRATION: - return self._extract_respiration_summary(data) - elif metric_type == MetricType.ACTIVITIES: - return self._extract_activity_data(data) - + # Fetch data from API + if metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, MetricType.HEART_RATE, MetricType.RESPIRATION]: + # Timeseries data + data = self.api_client.metrics.get(metric_type.value).get(sync_date) + timeseries_data = self.extractor.extract_timeseries_data(data, metric_type) + if timeseries_data: + self.db.store_timeseries_batch(user_id, metric_type, timeseries_data) + stats['completed'] += 1 + else: + stats['skipped'] += 1 + else: + # Daily metrics + data = self.api_client.metrics.get(metric_type.value).get(sync_date) + extracted_data = self.extractor.extract_metric_data(data, metric_type) + + if extracted_data and any(v is not None for v in extracted_data.values()): + self._store_health_metric(user_id, sync_date, metric_type, extracted_data) + stats['completed'] += 1 + else: + stats['skipped'] += 1 + + self.progress.task_complete(f"{metric_type.value} for {sync_date}") + except Exception as e: - self.progress.warning(f"Failed to extract {metric_type.value} data: {e}") - - return None - - def _extract_daily_summary_data(self, data: Any) -> Dict[str, Any]: - """Extract comprehensive daily summary - main hub for daily metrics.""" - return { - # Steps metrics (primary source) - 'total_steps': getattr(data, 'total_steps', None), - 'step_goal': getattr(data, 'step_goal', None), - 'total_distance_meters': getattr(data, 'total_distance', None), - - # Calories metrics (primary source) - 'total_calories': getattr(data, 'total_kilocalories', None), - 'active_calories': getattr(data, 'active_kilocalories', None), - 'bmr_calories': getattr(data, 'bmr_kilocalories', None), - - # Heart rate metrics (primary source) - 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), - 'max_heart_rate': getattr(data, 'max_heart_rate', None), - 'min_heart_rate': getattr(data, 'min_heart_rate', None), - - # Stress metrics (primary source) - 'avg_stress_level': getattr(data, 'average_stress_level', None), - 'max_stress_level': getattr(data, 'max_stress_level', None), - - # Body Battery metrics (primary source) - 'body_battery_high': getattr(data, 'body_battery_highest_value', None), - 'body_battery_low': getattr(data, 'body_battery_lowest_value', None) - } - - def _extract_sleep_data(self, data: Any) -> Dict[str, Any]: - """Extract sleep metrics - unique to sleep.""" - return { - 'sleep_duration_hours': getattr(data, 'sleep_duration_hours', None), - 'deep_sleep_percentage': getattr(data, 'deep_sleep_percentage', None), - 'light_sleep_percentage': getattr(data, 'light_sleep_percentage', None), - 'rem_sleep_percentage': getattr(data, 'rem_sleep_percentage', None), - 'awake_percentage': getattr(data, 'awake_percentage', None), - 'average_spo2': getattr(data, 'average_spo2', None), - 'average_respiration': getattr(data, 'average_respiration', None) - } - - def _extract_heart_rate_summary(self, data: Any) -> Dict[str, Any]: - """Extract heart rate summary - unique fields not in daily_summary.""" - return { - 'average_heart_rate': getattr(data, 'average_heart_rate', None) - } - - def _extract_training_readiness_data(self, data: Any) -> Dict[str, Any]: - """Extract training readiness data.""" - return { - 'score': getattr(data, 'score', None), - 'level': getattr(data, 'level', None), - 'feedback': getattr(data, 'feedback_short', None) - } - - def _extract_hrv_data(self, data: Any) -> Dict[str, Any]: - """Extract HRV using nested summary.""" - hrv_summary = getattr(data, 'hrv_summary', None) - if hrv_summary: - return { - 'weekly_avg': getattr(hrv_summary, 'weekly_avg', None), - 'last_night_avg': getattr(hrv_summary, 'last_night_avg', None), - 'status': getattr(hrv_summary, 'status', None) - } - return {} - - - def _extract_respiration_summary(self, data: Any) -> Dict[str, Any]: - """Extract respiration summary - unique respiratory metrics.""" - summary = getattr(data, 'respiration_summary', None) - if summary: - return { - 'avg_waking_respiration_value': getattr(summary, 'avg_waking_respiration_value', None), - 'avg_sleep_respiration_value': getattr(summary, 'avg_sleep_respiration_value', None), - 'lowest_respiration_value': getattr(summary, 'lowest_respiration_value', None), - 'highest_respiration_value': getattr(summary, 'highest_respiration_value', None) - } - return {} - - def _extract_activity_data(self, data: Any) -> Dict[str, Any]: - """Extract activity data from both parsed and raw formats.""" - # Handle both object attributes and dict keys - def get_value(obj, *keys): - for key in keys: - if hasattr(obj, key): - return getattr(obj, key, None) - elif isinstance(obj, dict) and key in obj: - return obj[key] - return None - - activity_id = get_value(data, 'activity_id', 'activityId') - if activity_id: - return { - 'activity_id': activity_id, - 'activity_name': get_value(data, 'activity_name', 'activityName', 'activityTypeName'), - 'duration_seconds': get_value(data, 'duration', 'movingDuration', 'elapsedDuration'), - 'avg_heart_rate': get_value(data, 'average_hr', 'averageHR', 'avgHR'), - 'training_load': get_value(data, 'activity_training_load', 'trainingLoad'), - 'start_time': get_value(data, 'start_time_local', 'startTimeLocal', 'start_time') - } - return {} - - def _extract_timeseries_data(self, data: Any, metric_type: MetricType) -> List[tuple]: - """Extract timeseries using computed properties.""" + self.progress.warning(f"Failed to sync {metric_type.value} for {sync_date}: {e}") + stats['failed'] += 1 + + def _sync_activities_for_date(self, user_id: int, sync_date: date, stats: Dict[str, int]): + """Sync activities for a specific date.""" + if not self.activities_iterator: + stats['failed'] += 1 + return + try: - if metric_type == MetricType.BODY_BATTERY: - readings = getattr(data, 'body_battery_readings', []) or [] - return [(r.timestamp, r.level, {'status': r.status}) for r in readings] - - elif metric_type == MetricType.STRESS: - readings = getattr(data, 'stress_readings', []) or [] - return [(r.timestamp, r.stress_level, {'category': getattr(r, 'stress_category', None)}) - for r in readings] - - elif metric_type == MetricType.HEART_RATE: - # HeartRate doesn't have computed readings property, use raw array - values = getattr(data, 'heart_rate_values_array', []) or [] - result = [] - for item in values: - if isinstance(item, (list, tuple)) and len(item) >= self.config.sync.min_timeseries_fields: - ts, val = item[0], item[1] - if ts and val is not None: - result.append((ts, val, None)) - return result - - elif metric_type == MetricType.RESPIRATION: - # Respiration uses raw arrays - values = getattr(data, 'respiration_values_array', []) or [] - result = [] - for item in values: - if isinstance(item, (list, tuple)) and len(item) >= self.config.sync.min_timeseries_fields: - ts, val = item[0], item[1] - if ts and val is not None: - result.append((ts, val, None)) - return result - + activities = self.activities_iterator.get_activities_for_date(sync_date) + + for activity in activities: + activity_data = self.extractor.extract_metric_data(activity, MetricType.ACTIVITIES) + if not activity_data or 'activity_id' not in activity_data: + continue + + activity_id = activity_data['activity_id'] + + # Check if already stored + if self.db.activity_exists(user_id, activity_id): + stats['skipped'] += 1 + continue + + # Add required date field + activity_data['activity_date'] = sync_date + + # Store activity + self.db.store_activity(user_id, activity_data) + stats['completed'] += 1 + + self.progress.task_complete(f"activities for {sync_date}") + except Exception as e: - self.progress.warning(f"Failed to extract timeseries for {metric_type}: {e}") - - return [] - - + self.progress.warning(f"Failed to sync activities for {sync_date}: {e}") + stats['failed'] += 1 + def _store_health_metric(self, user_id: int, sync_date: date, metric_type: MetricType, data: Dict): - """Store data in normalized health metrics table.""" + """Store health metric data in normalized table.""" if metric_type == MetricType.DAILY_SUMMARY: - self.db.store_health_metric( - user_id, sync_date, - total_steps=data.get('total_steps'), - step_goal=data.get('step_goal'), - total_distance_meters=data.get('total_distance_meters'), - total_calories=data.get('total_calories'), - active_calories=data.get('active_calories'), - bmr_calories=data.get('bmr_calories'), - resting_heart_rate=data.get('resting_heart_rate'), - max_heart_rate=data.get('max_heart_rate'), - min_heart_rate=data.get('min_heart_rate'), - avg_stress_level=data.get('avg_stress_level'), - max_stress_level=data.get('max_stress_level'), - body_battery_high=data.get('body_battery_high'), - body_battery_low=data.get('body_battery_low') - ) + self.db.store_health_metric(user_id, sync_date, **data) elif metric_type == MetricType.SLEEP: - self.db.store_health_metric( - user_id, sync_date, - sleep_duration_hours=data.get('sleep_duration_hours'), - deep_sleep_percentage=data.get('deep_sleep_percentage'), - light_sleep_percentage=data.get('light_sleep_percentage'), - rem_sleep_percentage=data.get('rem_sleep_percentage'), - awake_percentage=data.get('awake_percentage'), - average_spo2=data.get('average_spo2'), - average_respiration=data.get('average_respiration') - ) - elif metric_type == MetricType.HEART_RATE: - self.db.store_health_metric( - user_id, sync_date, - average_heart_rate=data.get('average_heart_rate') - ) + self.db.store_health_metric(user_id, sync_date, **data) elif metric_type == MetricType.TRAINING_READINESS: self.db.store_health_metric( user_id, sync_date, @@ -539,210 +230,47 @@ def _store_health_metric(self, user_id: int, sync_date: date, metric_type: Metri hrv_status=data.get('status') ) elif metric_type == MetricType.RESPIRATION: - self.db.store_health_metric( - user_id, sync_date, - avg_waking_respiration_value=data.get('avg_waking_respiration_value'), - avg_sleep_respiration_value=data.get('avg_sleep_respiration_value'), - lowest_respiration_value=data.get('lowest_respiration_value'), - highest_respiration_value=data.get('highest_respiration_value') - ) - + self.db.store_health_metric(user_id, sync_date, **data) + def _has_metric_data(self, user_id: int, metric_type: MetricType, sync_date: date) -> bool: - """Universal method to check if metric data exists.""" - if metric_type in [MetricType.DAILY_SUMMARY, MetricType.SLEEP, + """Check if metric data already exists.""" + if metric_type in [MetricType.DAILY_SUMMARY, MetricType.SLEEP, MetricType.TRAINING_READINESS, MetricType.HRV, MetricType.RESPIRATION]: return self.db.health_metric_exists(user_id, sync_date) - elif metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, MetricType.HEART_RATE]: - # Check both timeseries and normalized table - return (self.db.health_metric_exists(user_id, sync_date) or - self.db.has_data_for_date(user_id, metric_type, sync_date)) else: - # Legacy metrics - return self.db.has_data_for_date(user_id, metric_type, sync_date) - + # For other metrics, just check normalized table + return self.db.health_metric_exists(user_id, sync_date) + + def _date_range(self, start_date: date, end_date: date): + """Generate date range in either direction.""" + step = 1 if start_date <= end_date else -1 + current = start_date + while (step > 0 and current <= end_date) or (step < 0 and current >= end_date): + yield current + current += timedelta(days=step) + + # ======================================================================================== + # QUERY METHODS (Basic data access) + # ======================================================================================== + def query_health_metrics(self, user_id: int, start_date: date, end_date: date) -> List[Dict]: """Query normalized health metrics for analysis.""" return self.db.get_health_metrics(user_id, start_date, end_date) - - def query_activities(self, user_id: int, start_date: date, end_date: date, + + def query_activities(self, user_id: int, start_date: date, end_date: date, activity_name: Optional[str] = None) -> List[Dict]: - """Query activities for analysis.""" + """Query activities for date range.""" return self.db.get_activities(user_id, start_date, end_date, activity_name) - - def query_timeseries(self, user_id: int, metric_type: MetricType, + + def query_timeseries(self, user_id: int, metric_type: MetricType, start_time: datetime, end_time: datetime) -> List[Dict]: - """Query timeseries data.""" - start_ts = int(start_time.timestamp() * self.config.database.ms_per_second) - end_ts = int(end_time.timestamp() * self.config.database.ms_per_second) - + """Query timeseries data for time range.""" + start_ts = int(start_time.timestamp()) * self.config.database.ms_per_second + end_ts = int(end_time.timestamp()) * self.config.database.ms_per_second + data = self.db.get_timeseries(user_id, metric_type, start_ts, end_ts) - return [{ 'timestamp': ts, - 'datetime': datetime.fromtimestamp(ts / self.config.database.ms_per_second).isoformat(), 'value': value, 'metadata': metadata } for ts, value, metadata in data] - - # Analytics methods - def get_sleep_analysis(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: - """Get comprehensive sleep analysis.""" - return self.db.get_sleep_analysis(user_id, start_date, end_date) - - def get_activity_summary(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: - """Get activity summary and statistics.""" - return self.db.get_activity_summary(user_id, start_date, end_date) - - def get_health_trends(self, user_id: int, start_date: date, end_date: date) -> Dict[str, Any]: - """Get health trends and key metrics.""" - return self.db.get_health_trends(user_id, start_date, end_date) - - def get_stats(self) -> Dict[str, Any]: - """Get database statistics.""" - return self.db.get_stats() - - -class ActivitiesIterator: - """Iterator-based activities synchronization with automatic pagination.""" - - def __init__(self, api_client, sync_config, progress_reporter): - """Initialize activities iterator.""" - self.api_client = api_client - self.config = sync_config - self.progress = progress_reporter - self.metric_accessor = api_client.metrics.get('activities') - - # Pagination state - self.current_offset = 0 - self.batch_size = sync_config.activities_batch_size - self.current_batch = [] - self.batch_index = 0 - self.exhausted = False - - # Activity processing state - self.current_activity = None - self.current_activity_date = None - - async def _fetch_next_batch(self) -> bool: - """Fetch next batch of activities. Returns True if more data available.""" - if self.exhausted: - return False - - try: - batch = self.metric_accessor.raw(limit=self.batch_size, start=self.current_offset) - - if not batch or len(batch) == 0: - self.exhausted = True - return False - - self.current_batch = batch - self.batch_index = 0 - self.current_offset += len(batch) - - # Check if we've reached the end - if len(batch) < self.batch_size: - self.exhausted = True - - # Rate limiting - await asyncio.sleep(self.config.rate_limit_delay) - return True - - except Exception as e: - self.progress.error(f"Failed to fetch activities batch at offset {self.current_offset}: {e}") - self.exhausted = True - # For critical network/API errors, we should fail fast rather than silently continue - if "network" in str(e).lower() or "connection" in str(e).lower(): - raise RuntimeError(f"Network error during activities sync: {e}") from e - return False - - async def _advance_to_next_activity(self) -> bool: - """Move to next activity. Returns True if activity available.""" - # Try to get next activity from current batch - while self.batch_index >= len(self.current_batch): - # Need to fetch next batch - if not await self._fetch_next_batch(): - self.current_activity = None - self.current_activity_date = None - return False - - # Get current activity from batch - raw_activity = self.current_batch[self.batch_index] - self.batch_index += 1 - - # Parse activity data - try: - if isinstance(raw_activity, dict): - activity_obj = type('Activity', (), raw_activity) - else: - activity_obj = raw_activity - - self.current_activity = activity_obj - self.current_activity_date = self._extract_activity_date(activity_obj) - - if not self.current_activity_date: - return await self._advance_to_next_activity() # Try next activity - - return True - - except Exception as e: - self.progress.warning(f"Failed to parse activity: {e}") - return await self._advance_to_next_activity() # Try next activity - - def _extract_activity_date(self, activity) -> Optional[date]: - """Extract date from activity start time.""" - try: - start_time = getattr(activity, 'start_time_local', None) or \ - getattr(activity, 'startTimeLocal', None) or \ - getattr(activity, 'start_time', None) - - if start_time: - if isinstance(start_time, str): - from datetime import datetime - start_time = start_time.replace('Z', '+00:00') - if '.' in start_time and '+' in start_time: - dt = datetime.fromisoformat(start_time) - else: - dt = datetime.fromisoformat(start_time) - return dt.date() - elif hasattr(start_time, 'date'): - return start_time.date() - except Exception: - pass - return None - - async def get_activities_for_date(self, target_date: date) -> List[Any]: - """Get all activities for a specific date.""" - activities = [] - - # Ensure we have a current activity - if self.current_activity is None: - if not await self._advance_to_next_activity(): - return activities - - # Process activities while they match or are newer than target_date - while self.current_activity is not None: - if self.current_activity_date is None: - # Skip activities without dates - if not await self._advance_to_next_activity(): - break - continue - - if self.current_activity_date > target_date: - # Activity is newer than target - skip it - if not await self._advance_to_next_activity(): - break - continue - - elif self.current_activity_date == target_date: - # Activity matches target date - collect it - activities.append(self.current_activity) - if not await self._advance_to_next_activity(): - break - continue - - else: # self.current_activity_date < target_date - # Activity is older than target - we're done for this date - break - - return activities - diff --git a/src/garmy/mcp/__init__.py b/src/garmy/mcp/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/test.db b/test.db new file mode 100644 index 0000000000000000000000000000000000000000..4cbc013a8700d318c812d7e818929bab90a0563b GIT binary patch literal 81920 zcmeI2&u<&Y6~{^aqAgRB-6kMVpuiXbQZ8cGa0HUzS zKe9WNP2ZRVz7dwLpPh5}?SnhyFDMa_P)2xwAvgl7`a@TaV-4vs3-$0Tzod2mE*!^@@x+UoX$ z&H06Qrn;4|r(4FPPjZt*fs5Kw{PzVcII1i%a(6zBZnHhd$p={O_B0CN&SrckSnxN-LKZk(Srs#I<3`i z7^+kXl8Rc;T4v~O-Xtf{l6s$1yil-ClNVHyjYNsT>1@$iJFqAWThfR7oCSi^WrC4%6fP3>+ieyM z977rKPwaS=HeHe9Ok;>@ABIWo% zF;uoAXOv;7WkXzb^u^j}5{tx_4vRUOfVbx;*mL$wMoOK08HpZ$sAC>9c}K{wn!!pr z+DjyJyqzi3F3*(3eosjZ)=5Mj_L=VqGx*~q4SU@WE&h(XWg7OpxB|)G(+HT?k;{wJ zIdi?vWHyUYHx0(!G;DT*j3sDM$7`TbecUkjGK=&n=k6J6J|nSu62|@dBT`Q78IM@t zu`^GhF*l4>a6zAQ{!A8Jaxq%yD1pyHK|4_rW{cz|E&5@GKXuL4a8+#pGA-4XmBLRi znBV6XXQKTgsuf>HEf=ud4qt0xwI$5b8cxe(JLH1N)1DdaO&NDtyir-3Hx3S~Cym|1 zV^XPpyn9+}kb9@~diAJ5lO8j~{a#e~z4lnc@Nxa%aJT-1d|G`%rs{#HC`shb{@PmU zvz>e{Do(;LWJYkx`l1{CElb1c(wpA4wHCgrEf-4HujgMiqq;&DQ~GJes3COw8&wXY z;REWqQIe%9hxB%u$kgYaEHSLYsG6K!bd%MqJ`0RlWCG7SY?I~dcbRL+YPoXcL99x; z(dtPX_&G^s&x?eR=jy${*Kv{r{pz z5dMPz2!H?xfB*=900@8p2!H?xfWUkLc>kZz2nrAY0T2KI5C8!X009sH0T2KI5Lk2q zc>iDY2*Q65009sH0T2KI5C8!X009sH0T7r^0Pp|v89@O8AOHd&00JNY0w4eaAOHd& z00N6n0Pp{c9zpmI0w4eaAOHd&00JNY0w4eaAOHgM3E=&IJ|ieV00ck)1V8`;KmY_l z00ck)1VCWX3E=&I(IW`|K>!3m00ck)1V8`;KmY_l00cl_J^{S{&u0V$2!H?xfB*=9 z00@8p2!H?xfB*tmIZ#c5<74 z-TGJYFPopQ>=Y}@-z_^!KP=VqKjx2f-{<~ln`OANSt$KsCqHz&j>}(o?hD%D%oi;h z@KAW2bJ_}A=J|thbDN96Yld6*>ebywl^h&Zs*j0v7Pk{J%f&3q$*4^0k-~FtkT|T72`5-Dl*2K1ooip4h6iWNj_}#>~@Y-C) zR*{Vci9wH3)u=lzO?jaECI%@tbZ0qnV-#IA`Hfg0Si9$ZQ(TSm?b|zoo%z<>vgO;_ z$f3sWUae|f;-tJzQa>X<VHy zjYNsT>1@$iJFqAWThfR7Y8xeWnP8+Gg^Ps!cAEtQ$52l1x^~anEII;4J9CD{>!|Z! 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This is an intentional breaking change to simplify the codebase and eliminate maintenance overhead. - -## ๐Ÿ—‘๏ธ Removed Components - -### 1. Legacy JSON Storage System -**Removed:** -- `daily_metrics` table (JSON storage) -- `DAILY_METRICS` schema definition -- `HealthMetric` class wrapper -- `get_daily_metrics()` method -- `store_daily_metric()` method - -### 2. Schema Changes -**Before (4 tables):** -``` -- daily_metrics (JSON storage) โŒ REMOVED -- timeseries (High-frequency data) โœ… KEPT -- activities (Activity records) โœ… KEPT -- daily_health_metrics (Normalized data) โœ… KEPT -``` - -**After (3 tables):** -``` -- timeseries (High-frequency data) โœ… -- activities (Activity records) โœ… -- daily_health_metrics (Normalized data) โœ… -``` - -## ๐Ÿ’ฅ What Breaks - -### 1. Existing Databases -- **Old databases will NOT work** with the new schema -- Tables created before this change will be incompatible -- `daily_metrics` table will not be created or accessed - -### 2. Data Migration Required -If you have existing data in `daily_metrics` table: - -```sql --- Manual migration required (if needed) --- Extract data from old daily_metrics.data JSON column --- Transform and insert into daily_health_metrics normalized columns -``` - -### 3. Code Dependencies -Any code that used: -```python -# These methods NO LONGER EXIST -db.get_daily_metrics(...) # โŒ REMOVED -db.store_daily_metric(...) # โŒ REMOVED - -# This class NO LONGER EXISTS -HealthMetric(...) # โŒ REMOVED -``` - -## โœ… Migration Path - -### For New Installations -- No migration needed -- Fresh installations use only normalized schema -- Better performance and cleaner architecture - -### For Existing Installations -**Option 1: Fresh Start** -```bash -# Delete old database and start fresh -rm your_health.db -# New schema will be created automatically -``` - -**Option 2: Manual Migration (if data preservation needed)** -```python -# Backup your data first! -# Manual extraction and transformation required -# Contact for migration assistance if needed -``` - -## ๐ŸŽฏ Benefits - -### 1. Simplified Architecture -- Single storage pattern (normalized only) -- No dual storage maintenance -- Cleaner, more predictable code - -### 2. Better Performance -- No JSON parsing overhead -- Optimized indexes for queries -- Efficient SQL operations - -### 3. Easier Maintenance -- One schema to maintain -- No legacy code paths -- Simpler testing and debugging - -### 4. Reduced Code Size -- 203 fewer lines of code (-10%) -- Eliminated complexity -- Focused functionality - -## ๐Ÿ—‚๏ธ New Schema (Final) - -### Current Tables (3 total) -1. **`timeseries`** - High-frequency metrics (HR, stress, etc.) -2. **`activities`** - Individual workouts and activities -3. **`daily_health_metrics`** - Daily aggregated health data - -### Key Features -- All data stored in normalized columns -- Efficient indexes for common queries -- Direct SQL access for analytics -- Type-safe column access - -## ๐Ÿš€ Advantages of Breaking Changes - -### For Developers -- Cleaner, more focused API -- No legacy compatibility overhead -- Easier to understand and maintain -- Better performance characteristics - -### For Users -- Faster sync operations -- More reliable data storage -- Better query performance -- Future-proof architecture - -## ๐Ÿ“‹ Action Required - -1. **Backup existing data** if needed -2. **Update application code** to remove legacy method calls -3. **Test with new schema** before production deployment -4. **Create fresh database** or migrate data manually - -## ๐Ÿ†˜ Support - -If you need help with migration: -- Check the documentation for new API usage -- Use direct SQL queries for analytics -- Consider the examples in `health_db_demo.py` - -## ๐Ÿ“ˆ Schema Comparison - -### Before (Legacy Support) -``` -๐Ÿ“Š Total Tables: 4 -๐Ÿ“‹ JSON Storage: daily_metrics (legacy) -๐Ÿ” Dual Storage: JSON + Normalized -โšก Performance: Mixed (JSON parsing overhead) -๐Ÿงน Maintenance: Complex (dual paths) -``` - -### After (Clean Architecture) -``` -๐Ÿ“Š Total Tables: 3 -๐Ÿ“‹ Storage: Normalized only -๐Ÿ” Single Pattern: Efficient columns -โšก Performance: Optimized (no JSON overhead) -๐Ÿงน Maintenance: Simple (single path) -``` - -## ๐ŸŽ‰ Result - -The health database is now: -- **20% fewer tables** (4 โ†’ 3) -- **10% less code** (2052 โ†’ 1849 lines) -- **100% normalized storage** (no JSON) -- **Zero legacy overhead** (clean architecture) - -This breaking change prioritizes long-term maintainability and performance over short-term compatibility. \ No newline at end of file diff --git a/DATABASE_SCHEMA.md b/DATABASE_SCHEMA.md deleted file mode 100644 index 1116b18..0000000 --- a/DATABASE_SCHEMA.md +++ /dev/null @@ -1,197 +0,0 @@ -# Database Schema Architecture - -This document describes the clean database schema architecture implemented in Garmy's health database system. - -## ๐Ÿ—๏ธ Architecture Overview - -The database schema is now **completely separated** from database implementation logic, providing: - -- **๐Ÿ“š Self-documenting schema** with descriptions and metadata -- **๐Ÿ” Runtime validation** and introspection capabilities -- **๐Ÿš€ Evolution support** for future schema changes -- **๐Ÿ—บ๏ธ Clear mapping** from API data to database columns -- **๐Ÿงน Clean separation** of concerns - -## ๐Ÿ“ Files - -| File | Purpose | -|------|---------| -| `src/garmy/localdb/schema.py` | Centralized schema definition | -| `src/garmy/localdb/db.py` | Database implementation (uses schema) | -| `examples/schema_demo.py` | Schema architecture demonstration | - -## ๐Ÿ—„๏ธ Schema Definition - -### Core Classes - -```python -@dataclass -class TableDefinition: - name: str # Table name - sql: str # CREATE TABLE statement - description: str # Human-readable description - primary_key: List[str] # Primary key columns - indexes: List[str] # Performance indexes - -@dataclass -class DatabaseSchema: - version: SchemaVersion # Schema version for migrations - tables: List[TableDefinition] # All table definitions - global_indexes: List[str] # Cross-table indexes -``` - -### Current Schema (v1.0.0) - -| Table | Purpose | Primary Key | -|-------|---------|-------------| -| `daily_metrics` | Legacy JSON storage | `(user_id, metric_date)` | -| `timeseries` | High-frequency data | `(user_id, metric_type, timestamp)` | -| `activities` | Activity records | `(user_id, activity_id)` | -| `daily_health_metrics` | Normalized daily data | `(user_id, metric_date)` | - -## ๐Ÿ”„ Data Extraction - -API data is extracted using direct attribute access in the sync process: - -```python -# Example extraction in sync.py -def _extract_daily_summary_data(self, data: Any) -> Dict[str, Any]: - return { - 'total_steps': getattr(data, 'total_steps', None), - 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), - 'sleep_duration_hours': getattr(data, 'sleep_duration_hours', None), - # ... direct attribute access - } -``` - -## ๐Ÿš€ Usage - -### Schema Introspection - -```python -from garmy.localdb.schema import get_schema_info, HEALTH_DB_SCHEMA - -# Get schema information -info = get_schema_info() -print(f"Version: {info['version']}") -print(f"Tables: {info['total_tables']}") - -# Access specific table -table = HEALTH_DB_SCHEMA.get_table("daily_health_metrics") -print(f"Description: {table.description}") -``` - -### Database Integration - -```python -from garmy.localdb.db import HealthDB - -db = HealthDB("health.db") - -# Validate schema -is_valid = db.validate_schema() - -# Get schema info from database -info = db.get_schema_info() -``` - -### Data Extraction - -```python -# Direct attribute access in sync process -def extract_metrics(api_response): - return { - 'total_steps': getattr(api_response, 'total_steps', None), - 'resting_heart_rate': getattr(api_response, 'resting_heart_rate', None) - } -``` - -## ๐ŸŽฏ Benefits - -### Before (Mixed Concerns) -```python -def _init_schema(self): - # 120+ lines of hardcoded SQL strings - conn.execute(""" - CREATE TABLE IF NOT EXISTS daily_health_metrics ( - user_id INTEGER NOT NULL, - metric_date DATE NOT NULL, - total_steps INTEGER, - # ... 50+ more lines ... - ) - """) - # More hardcoded indexes... -``` - -### After (Clean Separation) -```python -def _init_schema(self): - # Clean, maintainable implementation - for statement in HEALTH_DB_SCHEMA.get_all_sql_statements(): - conn.execute(statement) -``` - -## ๐Ÿ”ง Schema Evolution - -### Adding New Table - -```python -NEW_TABLE = TableDefinition( - name="wellness_metrics", - description="Daily wellness and recovery metrics", - primary_key=["user_id", "metric_date"], - sql=""" - CREATE TABLE IF NOT EXISTS wellness_metrics ( - user_id INTEGER NOT NULL, - metric_date DATE NOT NULL, - stress_score INTEGER, - recovery_score INTEGER, - PRIMARY KEY (user_id, metric_date) - ) - """, - indexes=[ - "CREATE INDEX IF NOT EXISTS idx_wellness_stress ON wellness_metrics(stress_score)" - ] -) - -# Add to schema -HEALTH_DB_SCHEMA.tables.append(NEW_TABLE) -``` - -### Version Migration (Future) - -```python -def migrate_v1_to_v2(): - """Example migration function.""" - statements = get_migration_statements( - SchemaVersion.V1_0_0, - SchemaVersion.V2_0_0 - ) - for stmt in statements: - conn.execute(stmt) -``` - -## ๐Ÿงช Testing - -```python -def test_schema_completeness(): - """Test that all expected tables exist.""" - db = HealthDB(":memory:") - - expected_tables = set(get_table_names()) - actual_tables = set(/* get from db */) - - assert expected_tables == actual_tables -``` - -## ๐ŸŽ‰ Result - -The schema is now: - -โœ… **Self-documenting** - Each table has clear purpose and description -โœ… **Maintainable** - Single source of truth for all schema changes -โœ… **Testable** - Easy to validate and introspect -โœ… **Evolvable** - Built-in support for migrations and versioning -โœ… **Clean** - Complete separation from database implementation logic - -Run `python examples/schema_demo.py` to see the new architecture in action! \ No newline at end of file diff --git a/LOCALDB_CLEANUP.md b/LOCALDB_CLEANUP.md deleted file mode 100644 index 8237c0f..0000000 --- a/LOCALDB_CLEANUP.md +++ /dev/null @@ -1,218 +0,0 @@ -# Local DB Module Cleanup - -This document summarizes the significant cleanup performed on the `localdb` module to remove unnecessary code and improve maintainability. - -## ๐ŸŽฏ Goals - -- Remove predefined analytics queries that were only used in demos -- Eliminate legacy/unused code from database refactoring -- Simplify the module API to minimal necessary functionality -- Maintain only essential features required for sync operations - -## ๐Ÿ“Š Results - -### Code Reduction (Including Breaking Changes) -- **Total reduction**: 203 lines (-10%) -- **db.py**: 491 โ†’ 328 lines (-163 lines, -33%) -- **schema.py**: 272 โ†’ 250 lines (-22 lines, -8%) -- **sync.py**: 748 โ†’ 730 lines (-18 lines, -2%) - -### Files Affected -| File | Before | After | Change | -|------|--------|-------|--------| -| `db.py` | 491 lines | 328 lines | -163 (-33%) | -| `schema.py` | 272 lines | 250 lines | -22 (-8%) | -| `sync.py` | 748 lines | 730 lines | -18 (-2%) | -| **Total** | **2052 lines** | **1849 lines** | **-203 (-10%)** | - -## ๐Ÿ—‘๏ธ Removed Components - -### 1. Predefined Analytics Queries (db.py) -**Removed methods:** -- `get_sleep_analysis()` - 20 lines of complex sleep statistics SQL -- `get_activity_summary()` - 22 lines of activity aggregation SQL -- `get_health_trends()` - 19 lines of health correlation SQL -- `get_stats()` - 32 lines of database statistics SQL -- `has_data_for_date()` - 17 lines of legacy data existence check - -**Why removed:** -- Only used in demo files, not core functionality -- Complex predefined queries increase maintenance burden -- Direct SQL access via `db.connection()` provides more flexibility -- Analytics should be custom, not hardcoded - -### 2. Analytics Wrapper Methods (sync.py) -**Removed methods:** -- `get_sleep_analysis()` - Simple wrapper -- `get_activity_summary()` - Simple wrapper -- `get_health_trends()` - Simple wrapper -- `get_stats()` - Simple wrapper - -**Why removed:** -- Just pass-through methods with no added value -- Removed after underlying DB methods were eliminated -- Encourages direct SQL for custom analytics - -### 3. Legacy JSON Storage (Breaking Changes) -**Removed components:** -- `daily_metrics` table - Legacy JSON storage table -- `DAILY_METRICS` schema definition - Table definition -- `HealthMetric` class - Legacy data wrapper class -- Legacy comments and references throughout codebase - -**Why removed (BREAKING CHANGES):** -- โš ๏ธ **Breaks backward compatibility** with existing JSON data -- Eliminates dual storage systems (JSON + normalized) -- Simplifies schema to only normalized tables -- Removes maintenance burden of legacy data support -- Forces migration to efficient normalized storage - -### 4. Unused Column Mapping (schema.py) -**Removed from previous cleanup:** -- `HEALTH_METRIC_COLUMNS` - 50+ line mapping dictionary -- `get_column_mapping()` - Accessor function - -**Why removed:** -- Never actually used in sync process -- Sync uses direct `getattr()` calls instead -- Theoretical code that provided no practical value - -## โœ… What Remains (Essential Functionality) - -### Core Storage Methods (Required for Sync) -- `store_timeseries_batch()` - Batch timeseries storage -- `store_activity()` - Individual activity storage -- `store_health_metric()` - Normalized health metrics storage - -### Existence Checks (Required for Sync) -- `activity_exists()` - Check activity duplicates -- `health_metric_exists()` - Check metric duplicates - -### Basic Queries (Required for Export) -- `get_health_metrics()` - Raw health data retrieval -- `get_activities()` - Raw activity data retrieval -- `get_timeseries()` - Raw timeseries data retrieval - -### Schema Management -- `get_schema_info()` - Schema introspection -- `validate_schema()` - Schema validation -- `connection()` - Database connection manager - -## ๐Ÿ—๏ธ Architecture Improvements - -### Before: Bloated API -```python -# 22 methods including complex analytics -class HealthDB: - def store_health_metric(...) # Core - def get_sleep_analysis(...) # Analytics โŒ - def get_activity_summary(...) # Analytics โŒ - def get_health_trends(...) # Analytics โŒ - def get_stats(...) # Analytics โŒ - def has_data_for_date(...) # Legacy โŒ - # ... 17 more methods -``` - -### After: Minimal API -```python -# 11 essential methods only -class HealthDB: - # Storage (required for sync) - def store_health_metric(...) - def store_activity(...) - def store_timeseries_batch(...) - - # Queries (required for export) - def get_health_metrics(...) - def get_activities(...) - def get_timeseries(...) - - # Utilities - def activity_exists(...) - def health_metric_exists(...) - def validate_schema(...) - def get_schema_info(...) - def connection(...) -``` - -## ๐Ÿ“ Updated Demo - -The `health_db_demo.py` was updated to use direct SQL instead of removed methods: - -### Before (Using Removed Methods) -```python -# Used removed analytics methods -db_stats = self.sync_manager.get_stats() -trends = self.sync_manager.get_health_trends(user_id, start_date, end_date) -sleep_analysis = self.sync_manager.get_sleep_analysis(user_id, start_date, end_date) -``` - -### After (Direct SQL) -```python -# Direct SQL for custom analytics -with self.sync_manager.db.connection() as conn: - trends = conn.execute(""" - SELECT AVG(total_steps) as avg_daily_steps, - AVG(resting_heart_rate) as avg_resting_hr, - AVG(sleep_duration_hours) as avg_sleep_hours - FROM daily_health_metrics - WHERE user_id = ? AND metric_date BETWEEN ? AND ? - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchone() -``` - -## ๐ŸŽฏ Benefits - -### 1. **Maintainability** -- Fewer methods to maintain and test -- Less complex SQL query logic in core module -- Clear separation between core functionality and analytics - -### 2. **Flexibility** -- Custom analytics via direct SQL access -- No predefined query limitations -- Easier to add new analysis without bloating core module - -### 3. **Performance** -- Smaller module surface area -- Faster imports and initialization -- Less code to load and parse - -### 4. **Clarity** -- Crystal clear what the module actually provides -- Essential vs. convenience methods are obvious -- Easier onboarding for new developers - -## ๐Ÿš€ Migration Guide - -### If You Used Analytics Methods -**Before:** -```python -trends = sync_manager.get_health_trends(user_id, start_date, end_date) -``` - -**After:** -```python -with sync_manager.db.connection() as conn: - trends = conn.execute("SELECT ... FROM daily_health_metrics WHERE ...").fetchone() -``` - -### Benefits of Direct SQL -- **Custom queries**: Write exactly what you need -- **Performance**: No intermediate processing -- **Flexibility**: Join tables, complex aggregations, etc. -- **Learning**: Understand your data structure better - -## ๐Ÿ“ˆ Conclusion - -The cleanup successfully reduced the `localdb` module by **196 lines (10%)** while maintaining all essential functionality. The module now provides: - -โœ… **Core sync functionality** - All storage and existence checking -โœ… **Basic data retrieval** - Raw data access for export -โœ… **Schema management** - Validation and introspection -โœ… **Direct SQL access** - Ultimate flexibility for analytics - -โŒ **No predefined analytics** - Encourages custom, flexible queries -โŒ **No legacy cruft** - Clean, focused API surface -โŒ **No unused mappings** - Only working code remains - -The module is now leaner, more maintainable, and more flexible. \ No newline at end of file diff --git a/README.md b/README.md index 9e23897..e653e28 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,8 @@ An AI-powered Python library for Garmin Connect API designed specifically for he - **๐Ÿค– AI-First Design**: Built specifically for AI health agents and intelligent assistants - **๐Ÿฅ Health Analytics**: Advanced data analysis capabilities for fitness and wellness insights - **๐Ÿ“Š Rich Metrics**: Complete access to sleep, heart rate, stress, training readiness, and more -- **๐Ÿ—ฃ๏ธ Natural Language**: Query health data using conversational commands +- **๐Ÿ’พ Local Database**: Built-in SQLite database for local health data storage and sync +- **๐Ÿ–ฅ๏ธ CLI Tool**: Command-line interface for data synchronization and management - **โšก Real-time Processing**: Async/await support for high-performance AI applications - **๐Ÿ›ก๏ธ Type Safe**: Full type hints and runtime validation for reliable AI workflows - **๐Ÿ”„ Auto-Discovery**: Automatic metric registration and API endpoint discovery @@ -116,6 +117,76 @@ async def main(): asyncio.run(main()) ``` +## ๐Ÿ’พ Local Database & CLI Tool + +### CLI Tool for Data Synchronization + +Garmy includes a powerful CLI tool for local data synchronization and management: + +```bash +# Sync last 7 days of data +garmy-sync sync --last-days 7 + +# Sync specific date range +garmy-sync sync --date-range 2024-01-01 2024-01-31 + +# Sync specific metrics only +garmy-sync sync --metrics DAILY_SUMMARY,SLEEP,BODY_BATTERY + +# Show sync status +garmy-sync status + +# Reset failed sync records +garmy-sync reset --force +``` + +### Local Database Usage + +Store and query health data locally using the built-in SQLite database: + +```python +from garmy.localdb import SyncManager, HealthDB +from datetime import date, timedelta + +# Initialize sync manager +sync_manager = SyncManager(db_path="my_health.db") +sync_manager.initialize("email@garmin.com", "password") + +# Sync data to local database +end_date = date.today() +start_date = end_date - timedelta(days=30) + +stats = sync_manager.sync_range( + user_id=1, + start_date=start_date, + end_date=end_date +) + +print(f"Synced: {stats['completed']} records") + +# Query local data +health_data = sync_manager.query_health_metrics( + user_id=1, + start_date=start_date, + end_date=end_date +) + +activities = sync_manager.query_activities( + user_id=1, + start_date=start_date, + end_date=end_date +) +``` + +### Database Schema + +The local database stores health data in optimized tables: + +- **`daily_health_metrics`**: Normalized daily health data (steps, sleep, HR, etc.) +- **`timeseries`**: High-frequency data (heart rate, stress, body battery) +- **`activities`**: Individual workouts and activities +- **`sync_status`**: Sync status tracking for each metric per date + ## ๐Ÿ“Š Available Metrics Garmy provides access to a comprehensive set of Garmin Connect metrics: @@ -260,9 +331,12 @@ python examples/sleep_demo.py # Training readiness analysis python examples/training_readiness_demo.py -# Comprehensive metrics sync -python examples/metrics_sync_demo.py +# Local database sync example +python examples/localdb_demo.py +# CLI tool usage +garmy-sync sync --last-days 7 +garmy-sync status ``` ### Adding Custom Metrics diff --git a/SYNC_REFACTORING.md b/SYNC_REFACTORING.md deleted file mode 100644 index 6495e85..0000000 --- a/SYNC_REFACTORING.md +++ /dev/null @@ -1,228 +0,0 @@ -# Sync Module Refactoring: From Monolith to Clean Architecture - -## ๐ŸŽฏ Problem Solved - -The original `sync.py` was a **730-line monolith** with multiple responsibilities mixed together: -- โŒ **Magic constants** hardcoded in code (`MAX_SYNC_DAYS = 3650`) -- โŒ **Mixed responsibilities** (sync logic + data extraction + activities pagination) -- โŒ **Poor separation of concerns** (everything in one huge file) -- โŒ **Hard to test and maintain** (29 methods in 2 classes) - -## ๐Ÿ—๏ธ Solution: Modular Architecture - -Broke down the monolithic sync.py into **3 focused modules**: - -### 1. **`sync.py`** - Minimal Sync Manager (277 lines) -**Responsibility**: Core synchronization orchestration -- Sync coordination and flow control -- Progress tracking and error handling -- Basic query methods for data access -- **50% fewer lines** than original - -### 2. **`extractors.py`** - Data Extraction (141 lines) -**Responsibility**: API response โ†’ Database format conversion -- Extract daily summary, sleep, activities data -- Handle different API response formats -- Normalize data for database storage -- **Single responsibility principle** - -### 3. **`activities_iterator.py`** - Activity Pagination (147 lines) -**Responsibility**: Activity API pagination and iteration -- Handle large activity datasets with batching -- Automatic pagination management -- Date-based activity filtering -- **Encapsulated complexity** - -## ๐Ÿ“Š Results - -### Code Reduction -| Component | Before | After | Change | -|-----------|--------|-------|--------| -| **sync.py** | 730 lines | 277 lines | **-453 (-62%)** | -| **Total functionality** | 730 lines | 565 lines | **-165 (-23%)** | - -### Architecture Improvements -| Aspect | Before | After | -|--------|--------|-------| -| **Files** | 1 monolith | 3 focused modules | -| **Responsibilities** | Mixed | Single responsibility | -| **Magic constants** | Hardcoded | In configuration | -| **Testability** | Poor | Excellent | -| **Maintainability** | Difficult | Easy | - -## ๐Ÿ”ง Magic Constant Fix - -### Before (Hardcoded) -```python -# In sync.py - magic constant buried in code -MAX_SYNC_DAYS = 3650 # ~10 years -if date_count > MAX_SYNC_DAYS: - raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {MAX_SYNC_DAYS} days") -``` - -### After (Configurable) -```python -# In config.py - centralized configuration -@dataclass -class SyncConfig: - max_sync_days: int = 3650 # ~10 years maximum sync range - -# In sync.py - uses configuration -if date_count > self.config.sync.max_sync_days: - raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {self.config.sync.max_sync_days} days") -``` - -## ๐ŸŽฏ Single Responsibility Principle - -### Before: Mixed Responsibilities -```python -class SyncManager: # 730 lines, 27 methods - def sync_range(...) # Sync orchestration - def _extract_sleep_data(...) # Data extraction โŒ - def _extract_daily_summary(...) # Data extraction โŒ - def _extract_activity_data(...) # Data extraction โŒ - def get_activities_for_date(...) # Activity pagination โŒ - def _load_next_batch(...) # Activity pagination โŒ - # ... everything mixed together -``` - -### After: Clean Separation -```python -# sync.py - ONLY sync orchestration -class SyncManager: # 277 lines, 12 methods - def sync_range(...) # Sync orchestration โœ… - def _sync_date(...) # Sync orchestration โœ… - def query_health_metrics(...) # Basic queries โœ… - -# extractors.py - ONLY data transformation -class DataExtractor: # 141 lines, 10 methods - def extract_metric_data(...) # Data extraction โœ… - def _extract_sleep_data(...) # Data extraction โœ… - def _extract_activity_data(...) # Data extraction โœ… - -# activities_iterator.py - ONLY activity pagination -class ActivitiesIterator: # 147 lines, 7 methods - def get_activities_for_date(...) # Activity pagination โœ… - def _load_next_batch(...) # Activity pagination โœ… -``` - -## ๐Ÿงช Testability Improvements - -### Before: Monolithic Testing -```python -# Hard to test - everything coupled together -def test_sync_manager(): - # Must mock API, database, extraction, pagination all at once - # 730 lines of mixed logic to test -``` - -### After: Focused Unit Tests -```python -def test_sync_manager(): - # Only tests sync orchestration logic - -def test_data_extractor(): - # Only tests data transformation logic - -def test_activities_iterator(): - # Only tests pagination logic -``` - -## ๐Ÿ“ New Module Structure - -``` -src/garmy/localdb/ -โ”œโ”€โ”€ sync.py # Core sync orchestration (277 lines) -โ”œโ”€โ”€ extractors.py # Data extraction utilities (141 lines) -โ”œโ”€โ”€ activities_iterator.py # Activity pagination (147 lines) -โ”œโ”€โ”€ db.py # Database operations (328 lines) -โ”œโ”€โ”€ config.py # Configuration (51 lines) -โ”œโ”€โ”€ progress.py # Progress reporting (469 lines) -โ”œโ”€โ”€ schema.py # Database schema (250 lines) -โ””โ”€โ”€ models.py # Data models (17 lines) -``` - -## ๐Ÿ”„ Usage (No Breaking Changes) - -The public API remains exactly the same: - -```python -# Same usage as before -from garmy.localdb import SyncManager - -sync_manager = SyncManager() -await sync_manager.initialize(email, password) -stats = await sync_manager.sync_range(user_id, start_date, end_date) - -# Configuration now available -config = LocalDBConfig() -config.sync.max_sync_days = 1000 # Customize limit -sync_manager = SyncManager(config=config) -``` - -## ๐Ÿš€ Benefits - -### 1. **Maintainability** -- Each module has single, clear responsibility -- Easy to find and fix bugs -- Simple to add new features - -### 2. **Testability** -- Unit test each component in isolation -- Mock dependencies cleanly -- Better test coverage - -### 3. **Readability** -- 62% fewer lines in main sync logic -- Clear module boundaries -- Self-documenting code structure - -### 4. **Configuration** -- No more magic constants -- Centralized configuration management -- Easy to customize behavior - -### 5. **Extensibility** -- Add new extractors without touching sync logic -- Improve pagination without affecting data extraction -- Swap implementations easily - -## ๐Ÿ” Code Quality Metrics - -| Metric | Before | After | Improvement | -|--------|--------|-------|-------------| -| **Lines per file** | 730 | 277 max | 62% reduction | -| **Methods per class** | 27 | 12 max | 56% reduction | -| **Responsibilities** | Multiple | Single | 100% separation | -| **Magic constants** | 1 | 0 | 100% elimination | -| **Testability** | Poor | Excellent | Significant | - -## ๐Ÿ“‹ Migration Notes - -### For Developers -- **No API changes** - existing code continues to work -- **Better debugging** - easier to isolate issues -- **Simpler testing** - mock only what you need - -### For Configuration -```python -# Old way (hardcoded) -# MAX_SYNC_DAYS was fixed at 3650 - -# New way (configurable) -config = LocalDBConfig() -config.sync.max_sync_days = 365 # Custom limit -sync_manager = SyncManager(config=config) -``` - -## ๐ŸŽ‰ Conclusion - -Transformed a **730-line monolith** into **3 focused modules** totaling **565 lines**: - -โœ… **23% less code** with same functionality -โœ… **100% separation** of concerns -โœ… **Zero magic constants** remaining -โœ… **Excellent testability** for each component -โœ… **Clean architecture** following SOLID principles - -The sync module is now maintainable, testable, and follows clean architecture principles while delivering the same functionality with significantly less code. \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index b762031..6924f1a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,7 +50,9 @@ dependencies = [ "requests>=2.28.0", "requests-oauthlib>=1.3.0", "aiohttp>=3.8.0", - "aiofiles>=22.0.0" + "aiofiles>=22.0.0", + "sqlalchemy>=1.4.0", + "tqdm>=4.0.0" ] [project.optional-dependencies] @@ -89,6 +91,9 @@ Repository = "https://github.com/bes-dev/garmy.git" "Bug Tracker" = "https://github.com/bes-dev/garmy/issues" Changelog = "https://github.com/bes-dev/garmy/blob/master/CHANGELOG.md" +[project.scripts] +garmy-sync = "garmy.localdb.cli:main" + [tool.setuptools] package-dir = {"" = "src"} diff --git a/src/garmy/localdb/__main__.py b/src/garmy/localdb/__main__.py new file mode 100644 index 0000000..7bd265e --- /dev/null +++ b/src/garmy/localdb/__main__.py @@ -0,0 +1,7 @@ +#!/usr/bin/env python3 +"""Entry point for running localdb as a module: python -m garmy.localdb""" + +from .cli import main + +if __name__ == '__main__': + exit(main()) \ No newline at end of file diff --git a/src/garmy/localdb/cli.py b/src/garmy/localdb/cli.py new file mode 100644 index 0000000..185e692 --- /dev/null +++ b/src/garmy/localdb/cli.py @@ -0,0 +1,295 @@ +#!/usr/bin/env python3 +"""Command-line interface for Garmy LocalDB synchronization.""" + +import argparse +import getpass +import sys +from datetime import date, timedelta +from pathlib import Path +from typing import List, Optional + +from .sync import SyncManager +from .progress import ProgressReporter +from .models import MetricType +from .config import LocalDBConfig + + +def parse_date(date_str: str) -> date: + """Parse date string in YYYY-MM-DD format.""" + try: + return date.fromisoformat(date_str) + except ValueError: + raise argparse.ArgumentTypeError(f"Invalid date format: {date_str}. Use YYYY-MM-DD") + + +def parse_metrics(metrics_str: str) -> List[MetricType]: + """Parse comma-separated list of metrics.""" + if not metrics_str: + return list(MetricType) + + metric_names = [name.strip().upper() for name in metrics_str.split(',')] + metrics = [] + + for name in metric_names: + try: + metric = MetricType[name] + metrics.append(metric) + except KeyError: + available = ', '.join([m.name for m in MetricType]) + raise argparse.ArgumentTypeError( + f"Invalid metric: {name}. Available: {available}" + ) + + return metrics + + +def get_credentials() -> tuple[str, str]: + """Safely get Garmin credentials from user input.""" + print("Enter your Garmin Connect credentials:") + email = input("Email: ").strip() + + if not email: + print("Error: Email cannot be empty") + sys.exit(1) + + password = getpass.getpass("Password: ") + + if not password: + print("Error: Password cannot be empty") + sys.exit(1) + + return email, password + + +def cmd_sync(args) -> int: + """Execute sync command.""" + try: + # Determine date range + if args.last_days: + end_date = date.today() + start_date = end_date - timedelta(days=args.last_days - 1) + elif args.date_range: + start_date, end_date = args.date_range + else: + # Default: last 7 days + end_date = date.today() + start_date = end_date - timedelta(days=6) + + print(f"Syncing data from {start_date} to {end_date}") + + # Get credentials + email, password = get_credentials() + + # Setup progress reporter + progress_reporter = ProgressReporter(use_tqdm=args.progress == 'tqdm') + + # Initialize sync manager + config = LocalDBConfig() + manager = SyncManager( + db_path=args.db_path, + config=config, + progress_reporter=progress_reporter + ) + + # Initialize with credentials + print("Connecting to Garmin Connect...") + manager.initialize(email, password) + + # Parse metrics + metrics = parse_metrics(args.metrics) if args.metrics else list(MetricType) + + print(f"Syncing metrics: {', '.join([m.name for m in metrics])}") + + # Execute sync + stats = manager.sync_range( + user_id=args.user_id, + start_date=start_date, + end_date=end_date, + metrics=metrics + ) + + # Print results + print(f"\nSync completed!") + print(f" Completed: {stats['completed']}") + print(f" Skipped: {stats['skipped']}") + print(f" Failed: {stats['failed']}") + print(f" Total tasks: {stats['total_tasks']}") + + return 0 if stats['failed'] == 0 else 1 + + except KeyboardInterrupt: + print("\nSync interrupted by user") + return 130 + except Exception as e: + print(f"Error: {e}") + return 1 + + +def cmd_status(args) -> int: + """Show sync status.""" + try: + from .db import HealthDB + + db = HealthDB(args.db_path) + + # Show overall statistics + with db.get_session() as session: + from .models import SyncStatus + + # Count by status + status_counts = {} + from sqlalchemy import func + all_statuses = session.query(SyncStatus.status, + func.count(SyncStatus.status)).group_by(SyncStatus.status).all() + + for status, count in all_statuses: + status_counts[status] = count + + print("=== SYNC STATUS OVERVIEW ===") + for status in ['completed', 'pending', 'failed', 'skipped']: + count = status_counts.get(status, 0) + print(f"{status.capitalize()}: {count}") + + # Show failed records if any + if status_counts.get('failed', 0) > 0: + print(f"\n=== FAILED RECORDS ===") + failed_records = session.query(SyncStatus).filter( + SyncStatus.status == 'failed' + ).order_by(SyncStatus.sync_date.desc()).limit(10).all() + + for record in failed_records: + print(f"{record.sync_date} {record.metric_type}: {record.error_message}") + + # Show recent activity + print(f"\n=== RECENT SYNC ACTIVITY ===") + recent_records = session.query(SyncStatus).filter( + SyncStatus.synced_at.isnot(None) + ).order_by(SyncStatus.synced_at.desc()).limit(5).all() + + for record in recent_records: + print(f"{record.synced_at} {record.sync_date} {record.metric_type}: {record.status}") + + return 0 + + except Exception as e: + print(f"Error: {e}") + return 1 + + +def cmd_reset(args) -> int: + """Reset failed sync statuses to pending.""" + try: + from .db import HealthDB + + db = HealthDB(args.db_path) + + with db.get_session() as session: + from .models import SyncStatus + + # Count failed records + failed_count = session.query(SyncStatus).filter(SyncStatus.status == 'failed').count() + + if failed_count == 0: + print("No failed records found") + return 0 + + # Confirm reset + if not args.force: + response = input(f"Reset {failed_count} failed records to pending? (y/N): ") + if response.lower() != 'y': + print("Reset cancelled") + return 0 + + # Reset failed to pending + updated = session.query(SyncStatus).filter(SyncStatus.status == 'failed').update({ + 'status': 'pending', + 'error_message': None, + 'synced_at': None + }) + + session.commit() + print(f"Reset {updated} failed records to pending") + + return 0 + + except Exception as e: + print(f"Error: {e}") + return 1 + + +def create_parser() -> argparse.ArgumentParser: + """Create command-line argument parser.""" + parser = argparse.ArgumentParser( + description="Garmy LocalDB - Synchronize Garmin health data to local database", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + %(prog)s sync --last-days 7 # Sync last 7 days + %(prog)s sync --date-range 2024-01-01 2024-01-31 # Sync date range + %(prog)s sync --metrics DAILY_SUMMARY,SLEEP # Sync specific metrics + %(prog)s status # Show sync status + %(prog)s reset --force # Reset failed records + """ + ) + + # Global options + parser.add_argument('--db-path', type=Path, default=Path('health.db'), + help='Path to SQLite database file (default: health.db)') + parser.add_argument('--user-id', type=int, default=1, + help='User ID for database records (default: 1)') + + # Subcommands + subparsers = parser.add_subparsers(dest='command', help='Available commands') + + # Sync command + sync_parser = subparsers.add_parser('sync', help='Synchronize data from Garmin Connect') + + # Date range options (mutually exclusive) + date_group = sync_parser.add_mutually_exclusive_group() + date_group.add_argument('--last-days', type=int, metavar='N', + help='Sync data for last N days') + date_group.add_argument('--date-range', nargs=2, type=parse_date, + metavar=('START', 'END'), + help='Sync data between START and END dates (YYYY-MM-DD)') + + # Sync options + sync_parser.add_argument('--metrics', type=str, + help='Comma-separated list of metrics to sync (default: all)') + sync_parser.add_argument('--progress', choices=['tqdm', 'simple', 'silent'], + default='tqdm', + help='Progress display mode (default: tqdm)') + + # Status command + status_parser = subparsers.add_parser('status', help='Show synchronization status') + + # Reset command + reset_parser = subparsers.add_parser('reset', help='Reset failed sync records to pending') + reset_parser.add_argument('--force', action='store_true', + help='Reset without confirmation prompt') + + return parser + + +def main() -> int: + """Main CLI entry point.""" + parser = create_parser() + args = parser.parse_args() + + if not args.command: + parser.print_help() + return 1 + + # Execute command + if args.command == 'sync': + return cmd_sync(args) + elif args.command == 'status': + return cmd_status(args) + elif args.command == 'reset': + return cmd_reset(args) + else: + print(f"Unknown command: {args.command}") + return 1 + + +if __name__ == '__main__': + sys.exit(main()) \ No newline at end of file diff --git a/src/garmy/localdb/db.py b/src/garmy/localdb/db.py index d4c1edf..46c3868 100644 --- a/src/garmy/localdb/db.py +++ b/src/garmy/localdb/db.py @@ -1,19 +1,17 @@ -"""Minimal SQLite database for health metrics storage.""" +"""SQLAlchemy database for health metrics storage.""" -import json -import sqlite3 -from contextlib import contextmanager from datetime import date from pathlib import Path -from typing import List, Optional, Dict, Any, Tuple, TYPE_CHECKING +from typing import List, Dict, Any, Optional, TYPE_CHECKING -from .models import MetricType -from .schema import HEALTH_DB_SCHEMA +from sqlalchemy import create_engine, and_ +from sqlalchemy.orm import sessionmaker, Session + +from .models import Base, TimeSeries, Activity, DailyHealthMetric, SyncStatus, MetricType if TYPE_CHECKING: from .config import DatabaseConfig else: - # Import for runtime use DatabaseConfig = None @@ -25,9 +23,8 @@ def _get_default_config() -> 'DatabaseConfig': return DatabaseConfig() - class HealthDB: - """Minimal SQLite database for health metrics.""" + """SQLAlchemy database for health metrics.""" def __init__(self, db_path: Path = Path("health.db"), @@ -35,295 +32,280 @@ def __init__(self, """Initialize database. Args: - db_path: Path to SQLite database file (default: "health.db") - config: Database configuration (default: DatabaseConfig()) + db_path: Path to SQLite database file. + config: Database configuration. """ self.db_path = db_path self.config = config if config is not None else _get_default_config() - self._init_schema() + + self.engine = create_engine(f"sqlite:///{db_path}") + self.SessionLocal = sessionmaker(bind=self.engine) + + Base.metadata.create_all(self.engine) - def _init_schema(self): - """Initialize database schema using centralized schema definition.""" - try: - with self.connection() as conn: - # Execute all schema statements from the centralized definition - for statement in HEALTH_DB_SCHEMA.get_all_sql_statements(): - conn.execute(statement) - - except sqlite3.Error as e: - raise RuntimeError(f"Failed to initialize database schema: {e}") - except Exception as e: - raise RuntimeError(f"Unexpected error during database initialization: {e}") + def get_session(self) -> Session: + """Get database session.""" + return self.SessionLocal() def get_schema_info(self) -> Dict[str, Any]: - """Get current database schema information.""" - from .schema import get_schema_info - return get_schema_info() + """Get database schema information.""" + return { + "tables": [table.name for table in Base.metadata.tables.values()], + "db_path": str(self.db_path) + } def validate_schema(self) -> bool: - """Validate current database schema matches expected schema.""" - from .schema import get_table_names - + """Validate database schema.""" try: - with self.connection() as conn: - # Check if all expected tables exist - expected_tables = set(get_table_names()) - existing_tables = set() - - for table_info in conn.execute("SELECT name FROM sqlite_master WHERE type='table'").fetchall(): - existing_tables.add(table_info[0]) - - return expected_tables.issubset(existing_tables) - except sqlite3.Error: - return False - - @contextmanager - def connection(self): - """Database connection context manager.""" - conn = sqlite3.connect(str(self.db_path), timeout=self.config.timeout) - conn.row_factory = sqlite3.Row - - # Enable WAL mode for better concurrency if configured - if self.config.enable_wal_mode: - conn.execute("PRAGMA journal_mode=WAL") - - try: - yield conn - conn.commit() + expected_tables = {'timeseries', 'activities', 'daily_health_metrics', 'sync_status'} + actual_tables = set(Base.metadata.tables.keys()) + return expected_tables.issubset(actual_tables) except Exception: - conn.rollback() - raise - finally: - conn.close() - - # ======================================================================================== - # CORE STORAGE METHODS (Required for sync) - # ======================================================================================== + return False - def store_timeseries_batch(self, user_id: int, metric_type: MetricType, data: List[Tuple]): + def store_timeseries_batch(self, user_id: int, metric_type: MetricType, data: List[tuple]): """Store batch of timeseries data.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(metric_type, MetricType): - raise ValueError(f"metric_type must be MetricType enum, got {type(metric_type)}") - if not isinstance(data, list): - raise ValueError(f"data must be a list of tuples, got {type(data)}") - - try: - with self.connection() as conn: - for i, item in enumerate(data): - if not isinstance(item, (tuple, list)) or len(item) < 2: - raise ValueError(f"Item {i} must be tuple/list with at least 2 elements: (timestamp, value[, metadata])") - - timestamp, value = item[0], item[1] - metadata = item[2] if len(item) > 2 else None - - if not isinstance(timestamp, (int, float)): - raise ValueError(f"Timestamp must be numeric, got {type(timestamp)} for item {i}") - if not isinstance(value, (int, float)): - raise ValueError(f"Value must be numeric, got {type(value)} for item {i}") - - metadata_json = json.dumps(metadata) if metadata else None - conn.execute(""" - INSERT OR REPLACE INTO timeseries (user_id, metric_type, timestamp, value, metadata) - VALUES (?, ?, ?, ?, ?) - """, (user_id, metric_type.value, timestamp, value, metadata_json)) - except sqlite3.Error as e: - raise RuntimeError(f"Failed to store timeseries batch: {e}") - except (TypeError, ValueError) as e: - raise ValueError(f"Invalid data format: {e}") + with self.get_session() as session: + for timestamp, value, metadata in data: + timeseries = TimeSeries( + user_id=user_id, + metric_type=metric_type.value, + timestamp=timestamp, + value=value, + meta_data=metadata + ) + session.merge(timeseries) + session.commit() def store_activity(self, user_id: int, activity_data: Dict[str, Any]): - """Store individual activity in activities table.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(activity_data, dict): - raise ValueError(f"activity_data must be a dictionary, got {type(activity_data)}") - - required_fields = ['activity_id', 'activity_date'] - for field in required_fields: - if field not in activity_data or activity_data[field] is None: - raise ValueError(f"Missing required field: {field}") - - try: - with self.connection() as conn: - conn.execute(""" - INSERT OR REPLACE INTO activities - (user_id, activity_id, activity_date, activity_name, duration_seconds, - avg_heart_rate, training_load, start_time) - VALUES (?, ?, ?, ?, ?, ?, ?, ?) - """, ( - user_id, - activity_data['activity_id'], - activity_data['activity_date'].isoformat() if hasattr(activity_data['activity_date'], 'isoformat') else activity_data['activity_date'], - activity_data.get('activity_name'), - activity_data.get('duration_seconds'), - activity_data.get('avg_heart_rate'), - activity_data.get('training_load'), - activity_data.get('start_time') - )) - except sqlite3.Error as e: - raise RuntimeError(f"Failed to store activity: {e}") - except (TypeError, ValueError) as e: - raise ValueError(f"Invalid activity data format: {e}") + """Store activity data.""" + with self.get_session() as session: + activity = Activity( + user_id=user_id, + activity_id=activity_data['activity_id'], + activity_date=activity_data['activity_date'], + activity_name=activity_data.get('activity_name'), + duration_seconds=activity_data.get('duration_seconds'), + avg_heart_rate=activity_data.get('avg_heart_rate'), + training_load=activity_data.get('training_load'), + start_time=activity_data.get('start_time') + ) + session.merge(activity) + session.commit() def store_health_metric(self, user_id: int, metric_date: date, **kwargs): - """Store or update daily health metrics in normalized table.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(metric_date, date): - raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") - - # Calculate sleep hours from percentages if sleep_duration_hours is provided - if 'sleep_duration_hours' in kwargs and kwargs['sleep_duration_hours']: - total_sleep = kwargs['sleep_duration_hours'] - if 'deep_sleep_percentage' in kwargs and kwargs['deep_sleep_percentage']: - kwargs['deep_sleep_hours'] = total_sleep * (kwargs['deep_sleep_percentage'] / 100) - if 'light_sleep_percentage' in kwargs and kwargs['light_sleep_percentage']: - kwargs['light_sleep_hours'] = total_sleep * (kwargs['light_sleep_percentage'] / 100) - if 'rem_sleep_percentage' in kwargs and kwargs['rem_sleep_percentage']: - kwargs['rem_sleep_hours'] = total_sleep * (kwargs['rem_sleep_percentage'] / 100) - if 'awake_percentage' in kwargs and kwargs['awake_percentage']: - kwargs['awake_hours'] = total_sleep * (kwargs['awake_percentage'] / 100) - - # Build dynamic INSERT OR REPLACE query - fields = ['user_id', 'metric_date'] + [k for k in kwargs.keys() if kwargs[k] is not None] - placeholders = ', '.join(['?' for _ in fields]) - field_names = ', '.join(fields) - values = [user_id, metric_date.isoformat()] + [kwargs[k] for k in kwargs.keys() if kwargs[k] is not None] - - try: - with self.connection() as conn: - # First, get existing record - existing = conn.execute( - "SELECT * FROM daily_health_metrics WHERE user_id = ? AND metric_date = ?", - (user_id, metric_date.isoformat()) - ).fetchone() - - if existing: - # Update existing record with new values - update_fields = [f"{k} = ?" for k in kwargs.keys() if kwargs[k] is not None] - if update_fields: - query = f"UPDATE daily_health_metrics SET {', '.join(update_fields)}, updated_at = CURRENT_TIMESTAMP WHERE user_id = ? AND metric_date = ?" - update_values = [kwargs[k] for k in kwargs.keys() if kwargs[k] is not None] + [user_id, metric_date.isoformat()] - conn.execute(query, update_values) - else: - # Insert new record - query = f"INSERT INTO daily_health_metrics ({field_names}) VALUES ({placeholders})" - conn.execute(query, values) - - except sqlite3.Error as e: - raise RuntimeError(f"Failed to store health metric: {e}") - except (TypeError, ValueError) as e: - raise ValueError(f"Invalid health metric data: {e}") + """Store daily health metric data.""" + with self.get_session() as session: + # Get existing record or create new one + metric = session.query(DailyHealthMetric).filter( + and_( + DailyHealthMetric.user_id == user_id, + DailyHealthMetric.metric_date == metric_date + ) + ).first() + + if metric is None: + metric = DailyHealthMetric(user_id=user_id, metric_date=metric_date) + + # Update fields from kwargs + for field, value in kwargs.items(): + if hasattr(metric, field): + setattr(metric, field, value) + + session.merge(metric) + session.commit() + + + def create_sync_status(self, user_id: int, sync_date: date, metric_type: MetricType, status: str = 'pending'): + """Create sync status record.""" + with self.get_session() as session: + sync_status = SyncStatus( + user_id=user_id, + sync_date=sync_date, + metric_type=metric_type.value, + status=status + ) + session.merge(sync_status) + session.commit() + + def update_sync_status(self, user_id: int, sync_date: date, metric_type: MetricType, + status: str, error_message: Optional[str] = None): + """Update sync status record.""" + with self.get_session() as session: + from datetime import datetime + sync_status = session.query(SyncStatus).filter( + and_( + SyncStatus.user_id == user_id, + SyncStatus.sync_date == sync_date, + SyncStatus.metric_type == metric_type.value + ) + ).first() + + if sync_status: + sync_status.status = status + sync_status.synced_at = datetime.utcnow() + if error_message: + sync_status.error_message = error_message + session.commit() + + def get_sync_status(self, user_id: int, sync_date: date, metric_type: MetricType) -> Optional[str]: + """Get sync status for specific metric.""" + with self.get_session() as session: + sync_status = session.query(SyncStatus).filter( + and_( + SyncStatus.user_id == user_id, + SyncStatus.sync_date == sync_date, + SyncStatus.metric_type == metric_type.value + ) + ).first() + return sync_status.status if sync_status else None + + def get_pending_metrics(self, user_id: int, sync_date: date) -> List[str]: + """Get list of pending metrics for date.""" + with self.get_session() as session: + pending_statuses = session.query(SyncStatus).filter( + and_( + SyncStatus.user_id == user_id, + SyncStatus.sync_date == sync_date, + SyncStatus.status == 'pending' + ) + ).all() + return [status.metric_type for status in pending_statuses] + + def sync_status_exists(self, user_id: int, sync_date: date, metric_type: MetricType) -> bool: + """Check if sync status record exists.""" + with self.get_session() as session: + return session.query(SyncStatus).filter( + and_( + SyncStatus.user_id == user_id, + SyncStatus.sync_date == sync_date, + SyncStatus.metric_type == metric_type.value + ) + ).first() is not None - # ======================================================================================== - # EXISTENCE CHECKS (Required for sync) - # ======================================================================================== def activity_exists(self, user_id: int, activity_id: str) -> bool: - """Check if activity already exists.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not activity_id: - raise ValueError("activity_id cannot be empty") - - try: - with self.connection() as conn: - result = conn.execute( - "SELECT 1 FROM activities WHERE user_id = ? AND activity_id = ?", - (user_id, activity_id) - ).fetchone() - return result is not None - except sqlite3.Error as e: - raise RuntimeError(f"Failed to check activity existence: {e}") + """Check if activity exists.""" + with self.get_session() as session: + return session.query(Activity).filter( + and_( + Activity.user_id == user_id, + Activity.activity_id == activity_id + ) + ).first() is not None def health_metric_exists(self, user_id: int, metric_date: date) -> bool: - """Check if health metrics exist for a specific date.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(metric_date, date): - raise ValueError(f"metric_date must be a date object, got {type(metric_date)}") - - try: - with self.connection() as conn: - result = conn.execute( - "SELECT 1 FROM daily_health_metrics WHERE user_id = ? AND metric_date = ?", - (user_id, metric_date.isoformat()) - ).fetchone() - return result is not None - except sqlite3.Error as e: - raise RuntimeError(f"Failed to check health metric existence: {e}") + """Check if health metric exists for date.""" + with self.get_session() as session: + return session.query(DailyHealthMetric).filter( + and_( + DailyHealthMetric.user_id == user_id, + DailyHealthMetric.metric_date == metric_date + ) + ).first() is not None - # ======================================================================================== - # BASIC QUERIES (Required for sync and export) - # ======================================================================================== def get_health_metrics(self, user_id: int, start_date: date, end_date: date) -> List[Dict[str, Any]]: - """Get normalized daily health metrics for date range.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(start_date, date): - raise ValueError(f"start_date must be a date object, got {type(start_date)}") - if not isinstance(end_date, date): - raise ValueError(f"end_date must be a date object, got {type(end_date)}") - if start_date > end_date: - raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") - - try: - with self.connection() as conn: - rows = conn.execute(""" - SELECT * FROM daily_health_metrics - WHERE user_id = ? AND metric_date BETWEEN ? AND ? - ORDER BY metric_date - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() - - return [dict(row) for row in rows] - except sqlite3.Error as e: - raise RuntimeError(f"Failed to fetch health metrics: {e}") + """Query health metrics for date range.""" + with self.get_session() as session: + metrics = session.query(DailyHealthMetric).filter( + and_( + DailyHealthMetric.user_id == user_id, + DailyHealthMetric.metric_date >= start_date, + DailyHealthMetric.metric_date <= end_date + ) + ).order_by(DailyHealthMetric.metric_date).all() + + return [self._metric_to_dict(metric) for metric in metrics] def get_activities(self, user_id: int, start_date: date, end_date: date, activity_name: Optional[str] = None) -> List[Dict[str, Any]]: - """Get activities for date range with optional filtering by activity name.""" - if not isinstance(user_id, int) or user_id <= 0: - raise ValueError(f"Invalid user_id: {user_id}") - if not isinstance(start_date, date): - raise ValueError(f"start_date must be a date object, got {type(start_date)}") - if not isinstance(end_date, date): - raise ValueError(f"end_date must be a date object, got {type(end_date)}") - if start_date > end_date: - raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") - - try: - with self.connection() as conn: - if activity_name: - rows = conn.execute(""" - SELECT * FROM activities - WHERE user_id = ? AND activity_date BETWEEN ? AND ? AND activity_name = ? - ORDER BY activity_date, start_time - """, (user_id, start_date.isoformat(), end_date.isoformat(), activity_name)).fetchall() - else: - rows = conn.execute(""" - SELECT * FROM activities - WHERE user_id = ? AND activity_date BETWEEN ? AND ? - ORDER BY activity_date, start_time - """, (user_id, start_date.isoformat(), end_date.isoformat())).fetchall() - - return [dict(row) for row in rows] - except sqlite3.Error as e: - raise RuntimeError(f"Failed to fetch activities: {e}") + """Query activities for date range.""" + with self.get_session() as session: + query = session.query(Activity).filter( + and_( + Activity.user_id == user_id, + Activity.activity_date >= start_date, + Activity.activity_date <= end_date + ) + ) + + if activity_name: + query = query.filter(Activity.activity_name == activity_name) + + activities = query.order_by(Activity.activity_date).all() + return [self._activity_to_dict(activity) for activity in activities] - def get_timeseries(self, user_id: int, metric_type: MetricType, - start_time: int, end_time: int) -> List[Tuple[int, float, Dict]]: - """Get timeseries data for time range.""" - with self.connection() as conn: - rows = conn.execute(""" - SELECT timestamp, value, metadata - FROM timeseries - WHERE user_id = ? AND metric_type = ? AND timestamp BETWEEN ? AND ? - ORDER BY timestamp - """, (user_id, metric_type.value, start_time, end_time)).fetchall() + def get_timeseries(self, user_id: int, metric_type: MetricType, + start_timestamp: int, end_timestamp: int) -> List[tuple]: + """Query timeseries data for time range.""" + with self.get_session() as session: + timeseries = session.query(TimeSeries).filter( + and_( + TimeSeries.user_id == user_id, + TimeSeries.metric_type == metric_type.value, + TimeSeries.timestamp >= start_timestamp, + TimeSeries.timestamp <= end_timestamp + ) + ).order_by(TimeSeries.timestamp).all() - return [(row['timestamp'], row['value'], - json.loads(row['metadata']) if row['metadata'] else {}) - for row in rows] \ No newline at end of file + return [(ts.timestamp, ts.value, ts.meta_data) for ts in timeseries] + + + def _metric_to_dict(self, metric: DailyHealthMetric) -> Dict[str, Any]: + """Convert DailyHealthMetric to dictionary.""" + return { + 'user_id': metric.user_id, + 'metric_date': metric.metric_date, + 'total_steps': metric.total_steps, + 'step_goal': metric.step_goal, + 'total_distance_meters': metric.total_distance_meters, + 'total_calories': metric.total_calories, + 'active_calories': metric.active_calories, + 'bmr_calories': metric.bmr_calories, + 'resting_heart_rate': metric.resting_heart_rate, + 'max_heart_rate': metric.max_heart_rate, + 'min_heart_rate': metric.min_heart_rate, + 'average_heart_rate': metric.average_heart_rate, + 'avg_stress_level': metric.avg_stress_level, + 'max_stress_level': metric.max_stress_level, + 'body_battery_high': metric.body_battery_high, + 'body_battery_low': metric.body_battery_low, + 'sleep_duration_hours': metric.sleep_duration_hours, + 'deep_sleep_hours': metric.deep_sleep_hours, + 'light_sleep_hours': metric.light_sleep_hours, + 'rem_sleep_hours': metric.rem_sleep_hours, + 'awake_hours': metric.awake_hours, + 'deep_sleep_percentage': metric.deep_sleep_percentage, + 'light_sleep_percentage': metric.light_sleep_percentage, + 'rem_sleep_percentage': metric.rem_sleep_percentage, + 'awake_percentage': metric.awake_percentage, + 'average_spo2': metric.average_spo2, + 'average_respiration': metric.average_respiration, + 'training_readiness_score': metric.training_readiness_score, + 'training_readiness_level': metric.training_readiness_level, + 'training_readiness_feedback': metric.training_readiness_feedback, + 'hrv_weekly_avg': metric.hrv_weekly_avg, + 'hrv_last_night_avg': metric.hrv_last_night_avg, + 'hrv_status': metric.hrv_status, + 'avg_waking_respiration_value': metric.avg_waking_respiration_value, + 'avg_sleep_respiration_value': metric.avg_sleep_respiration_value, + 'lowest_respiration_value': metric.lowest_respiration_value, + 'highest_respiration_value': metric.highest_respiration_value, + 'created_at': metric.created_at, + 'updated_at': metric.updated_at + } + + def _activity_to_dict(self, activity: Activity) -> Dict[str, Any]: + """Convert Activity to dictionary.""" + return { + 'user_id': activity.user_id, + 'activity_id': activity.activity_id, + 'activity_date': activity.activity_date, + 'activity_name': activity.activity_name, + 'duration_seconds': activity.duration_seconds, + 'avg_heart_rate': activity.avg_heart_rate, + 'training_load': activity.training_load, + 'start_time': activity.start_time, + 'created_at': activity.created_at + } \ No newline at end of file diff --git a/src/garmy/localdb/extractors.py b/src/garmy/localdb/extractors.py index 91eb042..244853f 100644 --- a/src/garmy/localdb/extractors.py +++ b/src/garmy/localdb/extractors.py @@ -22,6 +22,10 @@ def extract_metric_data(self, data: Any, metric_type: MetricType) -> Optional[Di return self._extract_respiration_summary(data) elif metric_type == MetricType.ACTIVITIES: return self._extract_activity_data(data) + elif metric_type == MetricType.STEPS: + return self._extract_steps_data(data) + elif metric_type == MetricType.CALORIES: + return self._extract_calories_data(data) else: return None @@ -120,23 +124,52 @@ def get_value(obj, *keys): return {} def extract_timeseries_data(self, data: Any, metric_type: MetricType) -> List[Tuple]: - """Extract timeseries data points.""" - if not hasattr(data, 'data_points') or not data.data_points: - return [] - + """Extract timeseries data points from Garmy metrics.""" timeseries_data = [] - for point in data.data_points: - if hasattr(point, 'timestamp') and hasattr(point, 'value'): - timestamp = point.timestamp - value = point.value - metadata = {} - - # Add metric-specific metadata - if metric_type == MetricType.HEART_RATE and hasattr(point, 'zone'): - metadata['zone'] = point.zone - elif metric_type == MetricType.STRESS and hasattr(point, 'stress_level'): - metadata['stress_level'] = point.stress_level - - timeseries_data.append((timestamp, value, metadata)) - return timeseries_data \ No newline at end of file + if metric_type == MetricType.BODY_BATTERY: + if hasattr(data, 'body_battery_readings') and data.body_battery_readings: + for reading in data.body_battery_readings: + metadata = { + 'status': getattr(reading, 'status', None), + 'version': getattr(reading, 'version', None) + } + timeseries_data.append((reading.timestamp, reading.level, metadata)) + + elif metric_type == MetricType.STRESS: + if hasattr(data, 'stress_readings') and data.stress_readings: + for reading in data.stress_readings: + metadata = {} + if hasattr(reading, 'stress_category'): + metadata['stress_category'] = reading.stress_category + timeseries_data.append((reading.timestamp, reading.stress_level, metadata)) + + elif metric_type == MetricType.HEART_RATE: + if hasattr(data, 'heart_rate_values_array') and data.heart_rate_values_array: + for reading in data.heart_rate_values_array: + if isinstance(reading, (list, tuple)) and len(reading) >= 2: + timestamp, heart_rate = reading[0], reading[1] + timeseries_data.append((timestamp, heart_rate, {})) + + elif metric_type == MetricType.RESPIRATION: + # Respiration might have different format - check if it has readings + if hasattr(data, 'respiration_readings') and data.respiration_readings: + for reading in data.respiration_readings: + timeseries_data.append((reading.timestamp, reading.value, {})) + + return timeseries_data + + def _extract_steps_data(self, data: Any) -> Dict[str, Any]: + """Extract steps data.""" + return { + 'total_steps': getattr(data, 'total_steps', None), + 'step_goal': getattr(data, 'step_goal', None) + } + + def _extract_calories_data(self, data: Any) -> Dict[str, Any]: + """Extract calories data.""" + return { + 'total_calories': getattr(data, 'total_kilocalories', None), + 'active_calories': getattr(data, 'active_kilocalories', None), + 'bmr_calories': getattr(data, 'bmr_kilocalories', None) + } \ No newline at end of file diff --git a/src/garmy/localdb/models.py b/src/garmy/localdb/models.py index c2ca086..5d70f98 100644 --- a/src/garmy/localdb/models.py +++ b/src/garmy/localdb/models.py @@ -1,18 +1,121 @@ -"""Simple data models for local database.""" +"""SQLAlchemy models and enums for health database.""" +from datetime import date, datetime from enum import Enum +from sqlalchemy import Column, Integer, String, Float, Date, DateTime, JSON, Text +from sqlalchemy.ext.declarative import declarative_base + + +Base = declarative_base() + class MetricType(Enum): - """Available Garmin metrics.""" + """Health metric types that can be stored in the database.""" DAILY_SUMMARY = "daily_summary" SLEEP = "sleep" + ACTIVITIES = "activities" BODY_BATTERY = "body_battery" - HEART_RATE = "heart_rate" STRESS = "stress" + HEART_RATE = "heart_rate" TRAINING_READINESS = "training_readiness" - ACTIVITIES = "activities" + HRV = "hrv" + RESPIRATION = "respiration" STEPS = "steps" CALORIES = "calories" - HRV = "hrv" - RESPIRATION = "respiration" \ No newline at end of file + + +class TimeSeries(Base): + """High-frequency timeseries data (heart rate, stress, body battery, etc.).""" + __tablename__ = "timeseries" + + user_id = Column(Integer, primary_key=True, nullable=False) + metric_type = Column(String, primary_key=True, nullable=False) + timestamp = Column(Integer, primary_key=True, nullable=False) + value = Column(Float, nullable=False) + meta_data = Column(JSON) + + +class Activity(Base): + """Individual activities and workouts with key metrics.""" + __tablename__ = "activities" + + user_id = Column(Integer, primary_key=True, nullable=False) + activity_id = Column(String, primary_key=True, nullable=False) + activity_date = Column(Date, nullable=False) + activity_name = Column(String) + duration_seconds = Column(Integer) + avg_heart_rate = Column(Integer) + training_load = Column(Float) + start_time = Column(String) + created_at = Column(DateTime, default=datetime.utcnow) + + +class DailyHealthMetric(Base): + """Normalized daily health metrics with dedicated columns for efficient querying.""" + __tablename__ = "daily_health_metrics" + + user_id = Column(Integer, primary_key=True, nullable=False) + metric_date = Column(Date, primary_key=True, nullable=False) + + total_steps = Column(Integer) + step_goal = Column(Integer) + total_distance_meters = Column(Float) + + total_calories = Column(Integer) + active_calories = Column(Integer) + bmr_calories = Column(Integer) + + resting_heart_rate = Column(Integer) + max_heart_rate = Column(Integer) + min_heart_rate = Column(Integer) + average_heart_rate = Column(Integer) + + avg_stress_level = Column(Integer) + max_stress_level = Column(Integer) + + body_battery_high = Column(Integer) + body_battery_low = Column(Integer) + + sleep_duration_hours = Column(Float) + deep_sleep_hours = Column(Float) + light_sleep_hours = Column(Float) + rem_sleep_hours = Column(Float) + awake_hours = Column(Float) + + deep_sleep_percentage = Column(Float) + light_sleep_percentage = Column(Float) + rem_sleep_percentage = Column(Float) + awake_percentage = Column(Float) + + average_spo2 = Column(Float) + average_respiration = Column(Float) + + training_readiness_score = Column(Integer) + training_readiness_level = Column(Text) + training_readiness_feedback = Column(Text) + + hrv_weekly_avg = Column(Float) + hrv_last_night_avg = Column(Float) + hrv_status = Column(Text) + + avg_waking_respiration_value = Column(Float) + avg_sleep_respiration_value = Column(Float) + lowest_respiration_value = Column(Float) + highest_respiration_value = Column(Float) + + created_at = Column(DateTime, default=datetime.utcnow) + updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow) + + +class SyncStatus(Base): + """Sync status tracking for each metric per date.""" + __tablename__ = "sync_status" + + user_id = Column(Integer, primary_key=True, nullable=False) + sync_date = Column(Date, primary_key=True, nullable=False) + metric_type = Column(String, primary_key=True, nullable=False) + status = Column(String, nullable=False) + synced_at = Column(DateTime) + error_message = Column(Text) + created_at = Column(DateTime, default=datetime.utcnow) \ No newline at end of file diff --git a/src/garmy/localdb/progress.py b/src/garmy/localdb/progress.py index 5cca7b2..208530c 100644 --- a/src/garmy/localdb/progress.py +++ b/src/garmy/localdb/progress.py @@ -1,470 +1,67 @@ -""" -ะกะธัั‚ะตะผะฐ ะพั‚ะพะฑั€ะฐะถะตะฝะธั ะฟั€ะพะณั€ะตััะฐ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ. -ะŸะพะดะดะตั€ะถะธะฒะฐะตั‚ ั€ะฐะทะปะธั‡ะฝั‹ะต ั‚ะธะฟั‹ ะฒั‹ะฒะพะดะฐ: ะปะพะณะธ, progress bars, JSON ะธ ะดั€ัƒะณะธะต. -""" +"""Progress reporting for sync operations.""" -import json import logging -import time -from abc import ABC, abstractmethod -from datetime import datetime -from typing import Dict, Any, Optional, List -from dataclasses import dataclass, asdict -from enum import Enum +from datetime import date +from typing import Optional +from tqdm import tqdm -try: - from tqdm import tqdm - TQDM_AVAILABLE = True -except ImportError: - TQDM_AVAILABLE = False -try: - from rich.console import Console - from rich.progress import Progress, TaskID, SpinnerColumn, TextColumn, BarColumn, MofNCompleteColumn, TimeElapsedColumn - from rich.live import Live - from rich.table import Table - from rich.text import Text - RICH_AVAILABLE = True -except ImportError: - RICH_AVAILABLE = False +class ProgressReporter: + """Simple progress reporter with date tracking.""" - -class ProgressEventType(Enum): - """ะขะธะฟั‹ ัะพะฑั‹ั‚ะธะน ะฟั€ะพะณั€ะตััะฐ.""" - SYNC_START = "sync_start" - SYNC_END = "sync_end" - TASK_START = "task_start" - TASK_COMPLETE = "task_complete" - TASK_FAILED = "task_failed" - TASK_SKIPPED = "task_skipped" - BATCH_PROGRESS = "batch_progress" - METRIC_SYNCED = "metric_synced" - ACTIVITY_SYNCED = "activity_synced" - ERROR = "error" - WARNING = "warning" - INFO = "info" - - -@dataclass -class ProgressEvent: - """ะกะพะฑั‹ั‚ะธะต ะฟั€ะพะณั€ะตััะฐ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" - event_type: ProgressEventType - message: str - timestamp: datetime - data: Dict[str, Any] - - def to_dict(self) -> Dict[str, Any]: - """ะšะพะฝะฒะตั€ั‚ะฐั†ะธั ะฒ ัะปะพะฒะฐั€ัŒ.""" - result = asdict(self) - result['timestamp'] = self.timestamp.isoformat() - result['event_type'] = self.event_type.value - return result - - -@dataclass -class SyncStats: - """ะกั‚ะฐั‚ะธัั‚ะธะบะฐ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" - total_tasks: int = 0 - completed: int = 0 - failed: int = 0 - skipped: int = 0 - current_task: str = "" - start_time: Optional[datetime] = None - end_time: Optional[datetime] = None - - @property - def processed(self) -> int: - """ะ’ัะตะณะพ ะพะฑั€ะฐะฑะพั‚ะฐะฝะพ ะทะฐะดะฐั‡.""" - return self.completed + self.failed + self.skipped - - @property - def progress_percentage(self) -> float: - """ะŸั€ะพั†ะตะฝั‚ ะฒั‹ะฟะพะปะฝะตะฝะธั.""" - return (self.processed / self.total_tasks * 100) if self.total_tasks > 0 else 0 - - @property - def elapsed_time(self) -> float: - """ะ’ั€ะตะผั ะฒั‹ะฟะพะปะฝะตะฝะธั ะฒ ัะตะบัƒะฝะดะฐั….""" - if not self.start_time: - return 0 - end = self.end_time or datetime.now() - return (end - self.start_time).total_seconds() - - @property - def eta_seconds(self) -> Optional[float]: - """ะžั†ะตะฝะบะฐ ะฒั€ะตะผะตะฝะธ ะดะพ ะทะฐะฒะตั€ัˆะตะฝะธั.""" - if self.processed == 0 or self.elapsed_time == 0: - return None - - remaining_tasks = self.total_tasks - self.processed - avg_task_time = self.elapsed_time / self.processed - return remaining_tasks * avg_task_time - - -class ProgressReporter(ABC): - """ะะฑัั‚ั€ะฐะบั‚ะฝั‹ะน ั€ะตะฟะพั€ั‚ะตั€ ะฟั€ะพะณั€ะตััะฐ.""" - - def __init__(self, name: str = "sync"): - self.name = name - self.stats = SyncStats() - self.events: List[ProgressEvent] = [] - - def emit_event(self, event_type: ProgressEventType, message: str, **data): - """ะžั‚ะฟั€ะฐะฒะบะฐ ัะพะฑั‹ั‚ะธั.""" - event = ProgressEvent( - event_type=event_type, - message=message, - timestamp=datetime.now(), - data=data - ) - self.events.append(event) - self._handle_event(event) - - @abstractmethod - def _handle_event(self, event: ProgressEvent): - """ะžะฑั€ะฐะฑะพั‚ะบะฐ ัะพะฑั‹ั‚ะธั (ะดะพะปะถะฝะฐ ะฑั‹ั‚ัŒ ั€ะตะฐะปะธะทะพะฒะฐะฝะฐ ะฒ ะฟะพะดะบะปะฐััะต).""" - pass - - def start_sync(self, total_tasks: int, description: str = ""): - """ะะฐั‡ะฐะปะพ ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" - self.stats.total_tasks = total_tasks - self.stats.start_time = datetime.now() - self.emit_event(ProgressEventType.SYNC_START, f"Starting sync: {description}", - total_tasks=total_tasks, description=description) - - def end_sync(self, success: bool = True): - """ะžะบะพะฝั‡ะฐะฝะธะต ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ.""" - self.stats.end_time = datetime.now() - status = "completed" if success else "failed" - self.emit_event(ProgressEventType.SYNC_END, f"Sync {status}", - success=success, stats=asdict(self.stats)) - - def task_start(self, task_name: str, details: str = ""): - """ะะฐั‡ะฐะปะพ ะทะฐะดะฐั‡ะธ.""" - self.stats.current_task = task_name - self.emit_event(ProgressEventType.TASK_START, f"Starting: {task_name}", - task_name=task_name, details=details) - - def task_complete(self, task_name: str, details: str = ""): - """ะ—ะฐะฒะตั€ัˆะตะฝะธะต ะทะฐะดะฐั‡ะธ.""" - self.stats.completed += 1 - self.emit_event(ProgressEventType.TASK_COMPLETE, f"Completed: {task_name}", - task_name=task_name, details=details) - - def task_failed(self, task_name: str, error: str = ""): - """ะžัˆะธะฑะบะฐ ะฒ ะทะฐะดะฐั‡ะต.""" - self.stats.failed += 1 - self.emit_event(ProgressEventType.TASK_FAILED, f"Failed: {task_name}", - task_name=task_name, error=error) - - def task_skipped(self, task_name: str, reason: str = ""): - """ะŸั€ะพะฟัƒัะบ ะทะฐะดะฐั‡ะธ.""" - self.stats.skipped += 1 - self.emit_event(ProgressEventType.TASK_SKIPPED, f"Skipped: {task_name}", - task_name=task_name, reason=reason) - - def metric_synced(self, metric_type: str, date: str, records: int): - """ะกะธะฝั…ั€ะพะฝะธะทะธั€ะพะฒะฐะฝะฐ ะผะตั‚ั€ะธะบะฐ.""" - self.emit_event(ProgressEventType.METRIC_SYNCED, f"Synced {metric_type} for {date}", - metric_type=metric_type, date=date, records=records) - - def activity_synced(self, date: str, count: int): - """ะกะธะฝั…ั€ะพะฝะธะทะธั€ะพะฒะฐะฝั‹ ะฐะบั‚ะธะฒะฝะพัั‚ะธ.""" - self.emit_event(ProgressEventType.ACTIVITY_SYNCED, f"Synced {count} activities for {date}", - date=date, count=count) - - def error(self, message: str, **data): - """ะžัˆะธะฑะบะฐ.""" - self.emit_event(ProgressEventType.ERROR, message, **data) - - def warning(self, message: str, **data): - """ะŸั€ะตะดัƒะฟั€ะตะถะดะตะฝะธะต.""" - self.emit_event(ProgressEventType.WARNING, message, **data) - - def info(self, message: str, **data): - """ะ˜ะฝั„ะพั€ะผะฐั†ะธั.""" - self.emit_event(ProgressEventType.INFO, message, **data) - - -class LoggingReporter(ProgressReporter): - """ะ ะตะฟะพั€ั‚ะตั€ ั‡ะตั€ะตะท ัั‚ะฐะฝะดะฐั€ั‚ะฝะพะต ะปะพะณะธั€ะพะฒะฐะฝะธะต.""" - - def __init__(self, name: str = "sync", logger: Optional[logging.Logger] = None, - log_level: int = logging.INFO, show_progress: bool = True): - super().__init__(name) - self.logger = logger or logging.getLogger(f"{__name__}.{name}") - self.log_level = log_level - self.show_progress = show_progress - self._last_progress_log = 0 - self._progress_interval = 10 # ะ›ะพะณะธั€ะพะฒะฐั‚ัŒ ะฟั€ะพะณั€ะตัั ะบะฐะถะดั‹ะต 10 ะทะฐะดะฐั‡ - - def _handle_event(self, event: ProgressEvent): - """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท ะปะพะณะธั€ะพะฒะฐะฝะธะต.""" - level_map = { - ProgressEventType.ERROR: logging.ERROR, - ProgressEventType.WARNING: logging.WARNING, - ProgressEventType.TASK_FAILED: logging.WARNING, - } - - log_level = level_map.get(event.event_type, self.log_level) - - # ะ”ะพะฑะฐะฒะปัะตะผ ะบะพะฝั‚ะตะบัั‚ ะดะปั ะฝะตะบะพั‚ะพั€ั‹ั… ัะพะฑั‹ั‚ะธะน - message = event.message - if event.event_type == ProgressEventType.SYNC_START: - message = f"๐Ÿš€ {message}" - elif event.event_type == ProgressEventType.SYNC_END: - elapsed = self.stats.elapsed_time - message = f"โœ… {message} in {elapsed:.1f}s - {self.stats.completed} success, {self.stats.failed} failed, {self.stats.skipped} skipped" - elif event.event_type == ProgressEventType.TASK_COMPLETE and self.show_progress: - # ะ›ะพะณะธั€ัƒะตะผ ะฟั€ะพะณั€ะตัั ะฟะตั€ะธะพะดะธั‡ะตัะบะธ - if self.stats.processed - self._last_progress_log >= self._progress_interval: - progress = self.stats.progress_percentage - eta = self.stats.eta_seconds - eta_str = f", ETA: {eta:.0f}s" if eta else "" - message = f"๐Ÿ“Š Progress: {self.stats.processed}/{self.stats.total_tasks} ({progress:.1f}%){eta_str}" - self._last_progress_log = self.stats.processed - else: - return # ะะต ะปะพะณะธั€ัƒะตะผ ะบะฐะถะดัƒัŽ ะทะฐะดะฐั‡ัƒ - - self.logger.log(log_level, message) - - -class TqdmReporter(ProgressReporter): - """ะ ะตะฟะพั€ั‚ะตั€ ั‡ะตั€ะตะท tqdm progress bar.""" - - def __init__(self, name: str = "sync", leave: bool = True, - show_details: bool = True, update_interval: float = 0.1): - super().__init__(name) - if not TQDM_AVAILABLE: - raise ImportError("tqdm is required for TqdmReporter. Install with: pip install tqdm") - - self.leave = leave - self.show_details = show_details - self.update_interval = update_interval + def __init__(self, use_tqdm: bool = False): + self.use_tqdm = use_tqdm + self.logger = logging.getLogger("garmy.sync") self.pbar: Optional[tqdm] = None - self._last_update = 0 - - def _handle_event(self, event: ProgressEvent): - """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท tqdm.""" - if event.event_type == ProgressEventType.SYNC_START: - self.pbar = tqdm( - total=self.stats.total_tasks, - desc=f"๐Ÿ”„ {self.name}", - leave=self.leave, - unit="task" - ) - - elif event.event_type == ProgressEventType.SYNC_END and self.pbar: - self.pbar.close() - - elif event.event_type in [ProgressEventType.TASK_COMPLETE, ProgressEventType.TASK_FAILED, ProgressEventType.TASK_SKIPPED]: - if self.pbar: - # ะžะฑะฝะพะฒะปัะตะผ ะฟั€ะพะณั€ะตัั - self.pbar.update(1) - - # ะžะฑะฝะพะฒะปัะตะผ ะพะฟะธัะฐะฝะธะต, ะตัะปะธ ะฝัƒะถะฝะพ - if self.show_details and time.time() - self._last_update > self.update_interval: - progress = self.stats.progress_percentage - desc = f"๐Ÿ”„ {self.name} ({progress:.1f}%)" - if self.stats.current_task: - desc += f" - {self.stats.current_task}" - self.pbar.set_description(desc) - self._last_update = time.time() - - elif event.event_type == ProgressEventType.ERROR and self.pbar: - self.pbar.write(f"โŒ Error: {event.message}") - - elif event.event_type == ProgressEventType.WARNING and self.pbar: - self.pbar.write(f"โš ๏ธ Warning: {event.message}") - - -class RichReporter(ProgressReporter): - """ะ ะตะฟะพั€ั‚ะตั€ ั‡ะตั€ะตะท Rich (ะบั€ะฐัะธะฒั‹ะน ั‚ะตั€ะผะธะฝะฐะปัŒะฝั‹ะน ะฒั‹ะฒะพะด).""" - - def __init__(self, name: str = "sync", show_details: bool = True, - show_stats_table: bool = True): - super().__init__(name) - if not RICH_AVAILABLE: - raise ImportError("rich is required for RichReporter. Install with: pip install rich") - - self.console = Console() - self.show_details = show_details - self.show_stats_table = show_stats_table - self.progress: Optional[Progress] = None - self.task_id: Optional[TaskID] = None - self.live: Optional[Live] = None - - def _handle_event(self, event: ProgressEvent): - """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท Rich.""" - if event.event_type == ProgressEventType.SYNC_START: - self.progress = Progress( - SpinnerColumn(), - TextColumn("[progress.description]{task.description}"), - BarColumn(), - MofNCompleteColumn(), - TextColumn("({task.percentage:>3.0f}%)"), - TimeElapsedColumn(), - console=self.console - ) - - self.task_id = self.progress.add_task( - f"๐Ÿ”„ {self.name}", - total=self.stats.total_tasks - ) - - if self.show_stats_table: - self.live = Live(self._create_layout(), console=self.console, refresh_per_second=2) - self.live.start() - else: - self.progress.start() - - elif event.event_type == ProgressEventType.SYNC_END: - if self.live: - self.live.stop() - elif self.progress: - self.progress.stop() - - # ะคะธะฝะฐะปัŒะฝะพะต ัะพะพะฑั‰ะตะฝะธะต - status = "โœ… Completed" if event.data.get('success', True) else "โŒ Failed" - elapsed = self.stats.elapsed_time - self.console.print(f"{status} in {elapsed:.1f}s - {self.stats.completed} success, {self.stats.failed} failed, {self.stats.skipped} skipped") - - elif event.event_type in [ProgressEventType.TASK_COMPLETE, ProgressEventType.TASK_FAILED, ProgressEventType.TASK_SKIPPED]: - if self.progress and self.task_id is not None: - self.progress.update(self.task_id, advance=1) - - if self.show_details and self.stats.current_task: - desc = f"๐Ÿ”„ {self.name} - {self.stats.current_task}" - self.progress.update(self.task_id, description=desc) - - elif event.event_type == ProgressEventType.ERROR: - self.console.print(f"โŒ [red]Error:[/red] {event.message}") - - elif event.event_type == ProgressEventType.WARNING: - self.console.print(f"โš ๏ธ [yellow]Warning:[/yellow] {event.message}") - - def _create_layout(self): - """ะกะพะทะดะฐะฝะธะต ะปัะนะฐัƒั‚ะฐ ั ั‚ะฐะฑะปะธั†ะตะน ัั‚ะฐั‚ะธัั‚ะธะบะธ.""" - if not self.progress: - return Table() - - # ะžัะฝะพะฒะฝะพะน ะฟั€ะพะณั€ะตัั - progress_panel = self.progress - - # ะขะฐะฑะปะธั†ะฐ ัั‚ะฐั‚ะธัั‚ะธะบะธ - stats_table = Table(title="๐Ÿ“Š Sync Statistics", show_header=True, header_style="bold magenta") - stats_table.add_column("Metric", style="cyan") - stats_table.add_column("Value", justify="right") - - stats_table.add_row("โœ… Completed", str(self.stats.completed)) - stats_table.add_row("โŒ Failed", str(self.stats.failed)) - stats_table.add_row("โญ๏ธ Skipped", str(self.stats.skipped)) - stats_table.add_row("โฑ๏ธ Elapsed", f"{self.stats.elapsed_time:.1f}s") - - if self.stats.eta_seconds: - stats_table.add_row("๐Ÿ”ฎ ETA", f"{self.stats.eta_seconds:.1f}s") - - # ะšะพะผะฟะพะฝัƒะตะผ ะฒัะต ะฒะผะตัั‚ะต - from rich.columns import Columns - return Columns([progress_panel, stats_table]) - - -class JsonReporter(ProgressReporter): - """ะ ะตะฟะพั€ั‚ะตั€ ะฒ JSON ั„ะพั€ะผะฐั‚ (ะดะปั ะผะฐัˆะธะฝะฝะพะน ะพะฑั€ะฐะฑะพั‚ะบะธ).""" - - def __init__(self, name: str = "sync", output_file: Optional[str] = None, - real_time: bool = False): - super().__init__(name) - self.output_file = output_file - self.real_time = real_time # ะŸะธัะฐั‚ัŒ ัะพะฑั‹ั‚ะธั ะฒ ั€ะตะฐะปัŒะฝะพะผ ะฒั€ะตะผะตะฝะธ - - def _handle_event(self, event: ProgressEvent): - """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท JSON ะฒั‹ะฒะพะด.""" - event_dict = event.to_dict() - event_dict['stats'] = asdict(self.stats) - - if self.real_time: - if self.output_file: - # ะ”ะพะฑะฐะฒะปัะตะผ ะฒ ั„ะฐะนะป - with open(self.output_file, 'a') as f: - json.dump(event_dict, f, ensure_ascii=False) - f.write('\n') - else: - # ะ’ั‹ะฒะพะดะธะผ ะฒ stdout - print(json.dumps(event_dict, ensure_ascii=False)) - - def end_sync(self, success: bool = True): - """ะžะบะพะฝั‡ะฐะฝะธะต ัะธะฝั…ั€ะพะฝะธะทะฐั†ะธะธ ั ัะพั…ั€ะฐะฝะตะฝะธะตะผ ะฟะพะปะฝะพะณะพ ะพั‚ั‡ะตั‚ะฐ.""" - super().end_sync(success) - - if not self.real_time and self.output_file: - # ะกะพั…ั€ะฐะฝัะตะผ ะฟะพะปะฝั‹ะน ะพั‚ั‡ะตั‚ ะฒ ะบะพะฝั†ะต - report = { - 'sync_name': self.name, - 'stats': asdict(self.stats), - 'events': [event.to_dict() for event in self.events], - 'summary': { - 'success': success, - 'total_events': len(self.events), - 'duration_seconds': self.stats.elapsed_time - } - } - - with open(self.output_file, 'w') as f: - json.dump(report, f, indent=2, ensure_ascii=False) - - -class MultiReporter(ProgressReporter): - """ะ ะตะฟะพั€ั‚ะตั€, ะพะฑัŠะตะดะธะฝััŽั‰ะธะน ะฝะตัะบะพะปัŒะบะพ ั€ะตะฟะพั€ั‚ะตั€ะพะฒ.""" - - def __init__(self, name: str = "sync", reporters: List[ProgressReporter] = None): - super().__init__(name) - self.reporters = reporters or [] - - # ะกะธะฝั…ั€ะพะฝะธะทะธั€ัƒะตะผ ัั‚ะฐั‚ะธัั‚ะธะบัƒ ะผะตะถะดัƒ ั€ะตะฟะพั€ั‚ะตั€ะฐะผะธ - for reporter in self.reporters: - reporter.stats = self.stats - - def add_reporter(self, reporter: ProgressReporter): - """ะ”ะพะฑะฐะฒะปะตะฝะธะต ั€ะตะฟะพั€ั‚ะตั€ะฐ.""" - reporter.stats = self.stats - self.reporters.append(reporter) - - def _handle_event(self, event: ProgressEvent): - """ะžะฑั€ะฐะฑะพั‚ะบะฐ ั‡ะตั€ะตะท ะฒัะต ั€ะตะฟะพั€ั‚ะตั€ั‹.""" - for reporter in self.reporters: - try: - reporter._handle_event(event) - except Exception as e: - # ะะต ะฟะฐะดะฐะตะผ, ะตัะปะธ ะพะดะธะฝ ะธะท ั€ะตะฟะพั€ั‚ะตั€ะพะฒ ัะปะพะผะฐะปัั - print(f"Warning: Reporter {type(reporter).__name__} failed: {e}") - - -class SilentReporter(ProgressReporter): - """ะขะธั…ะธะน ั€ะตะฟะพั€ั‚ะตั€ (ะฝะธั‡ะตะณะพ ะฝะต ะฒั‹ะฒะพะดะธั‚).""" - - def _handle_event(self, event: ProgressEvent): - """ะะธั‡ะตะณะพ ะฝะต ะดะตะปะฐะตะผ.""" - pass - - -# ะคะฐะฑั€ะธะบะฐ ะดะปั ัะพะทะดะฐะฝะธั ั€ะตะฟะพั€ั‚ะตั€ะพะฒ -def create_reporter(reporter_type: str, **kwargs) -> ProgressReporter: - """ะคะฐะฑั€ะธะบะฐ ะดะปั ัะพะทะดะฐะฝะธั ั€ะตะฟะพั€ั‚ะตั€ะพะฒ.""" - - if reporter_type == "logging": - return LoggingReporter(**kwargs) - elif reporter_type == "tqdm": - if not TQDM_AVAILABLE: - raise ImportError("tqdm is required. Install with: pip install tqdm") - return TqdmReporter(**kwargs) - elif reporter_type == "rich": - if not RICH_AVAILABLE: - raise ImportError("rich is required. Install with: pip install rich") - return RichReporter(**kwargs) - elif reporter_type == "json": - return JsonReporter(**kwargs) - elif reporter_type == "silent": - return SilentReporter(**kwargs) - else: - raise ValueError(f"Unknown reporter type: {reporter_type}") \ No newline at end of file + self.current_date = None + + def start_sync(self, total: int): + """Start sync progress tracking.""" + if self.use_tqdm: + self.pbar = tqdm(total=total) + + def task_complete(self, task: str, sync_date: date): + """Mark task as completed.""" + msg = f"[{sync_date}] {task}" + if self.pbar: + self.pbar.update(1) + if self.current_date != sync_date: + self.current_date = sync_date + self.pbar.set_description(f"Syncing {sync_date}") + else: + self.logger.info(msg) + + def task_skipped(self, task: str, sync_date: date): + """Mark task as skipped.""" + msg = f"[{sync_date}] {task} (skipped)" + if self.pbar: + self.pbar.update(1) + if self.current_date != sync_date: + self.current_date = sync_date + self.pbar.set_description(f"Syncing {sync_date}") + else: + self.logger.info(msg) + + def task_failed(self, task: str, sync_date: date): + """Mark task as failed.""" + msg = f"[{sync_date}] {task} (failed)" + if self.pbar: + self.pbar.update(1) + if self.current_date != sync_date: + self.current_date = sync_date + self.pbar.set_description(f"Syncing {sync_date}") + else: + self.logger.warning(msg) + + def info(self, message: str): + """Log info message.""" + self.logger.info(message) + + def error(self, message: str): + """Log error message.""" + self.logger.error(message) + + def end_sync(self): + """End sync progress tracking.""" + if self.pbar: + self.pbar.close() \ No newline at end of file diff --git a/src/garmy/localdb/schema.py b/src/garmy/localdb/schema.py deleted file mode 100644 index 3b78cdd..0000000 --- a/src/garmy/localdb/schema.py +++ /dev/null @@ -1,250 +0,0 @@ -""" -Health Database Schema Definition - -This module contains the complete database schema for the Garmin health metrics system. -Separating schema from database logic improves maintainability and makes schema evolution easier. -""" - -from dataclasses import dataclass -from typing import List, Dict, Any, Optional -from enum import Enum - - -class SchemaVersion(Enum): - """Database schema versions for migration support.""" - V1_0_0 = "1.0.0" - CURRENT = V1_0_0 - - -@dataclass -class TableDefinition: - """Definition of a database table.""" - name: str - sql: str - description: str - primary_key: List[str] - indexes: List[str] - - -@dataclass -class DatabaseSchema: - """Complete database schema with tables and indexes.""" - version: SchemaVersion - tables: List[TableDefinition] - global_indexes: List[str] - - def get_table(self, name: str) -> Optional[TableDefinition]: - """Get table definition by name.""" - return next((t for t in self.tables if t.name == name), None) - - def get_all_sql_statements(self) -> List[str]: - """Get all SQL statements needed to create the schema.""" - statements = [] - - # Add table creation statements - for table in self.tables: - statements.append(table.sql) - - # Add table-specific indexes - for table in self.tables: - statements.extend(table.indexes) - - # Add global indexes - statements.extend(self.global_indexes) - - return statements - - -# ======================================================================================== -# TABLE DEFINITIONS -# ======================================================================================== - -# Note: daily_metrics table removed - JSON storage no longer supported - -# High-frequency timeseries data -TIMESERIES = TableDefinition( - name="timeseries", - description="High-frequency timeseries data (heart rate, stress, body battery, etc.)", - primary_key=["user_id", "metric_type", "timestamp"], - sql=""" - CREATE TABLE IF NOT EXISTS timeseries ( - user_id INTEGER NOT NULL, - metric_type TEXT NOT NULL, - timestamp INTEGER NOT NULL, - value REAL NOT NULL, - metadata JSON, - PRIMARY KEY (user_id, metric_type, timestamp) - ) - """, - indexes=[ - "CREATE INDEX IF NOT EXISTS idx_timeseries_user_type_time ON timeseries(user_id, metric_type, timestamp)" - ] -) - -# Activities table for efficient querying -ACTIVITIES = TableDefinition( - name="activities", - description="Individual activities and workouts with key metrics", - primary_key=["user_id", "activity_id"], - sql=""" - CREATE TABLE IF NOT EXISTS activities ( - user_id INTEGER NOT NULL, - activity_id TEXT NOT NULL, - activity_date DATE NOT NULL, - activity_name TEXT, - duration_seconds INTEGER, - avg_heart_rate INTEGER, - training_load REAL, - start_time TEXT, - created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - PRIMARY KEY (user_id, activity_id) - ) - """, - indexes=[ - "CREATE INDEX IF NOT EXISTS idx_activities_user_date ON activities(user_id, activity_date)", - "CREATE INDEX IF NOT EXISTS idx_activities_name ON activities(activity_name)", - "CREATE INDEX IF NOT EXISTS idx_activities_duration ON activities(duration_seconds)" - ] -) - -# Normalized daily health metrics for efficient querying -DAILY_HEALTH_METRICS = TableDefinition( - name="daily_health_metrics", - description="Normalized daily health metrics with dedicated columns for efficient querying", - primary_key=["user_id", "metric_date"], - sql=""" - CREATE TABLE IF NOT EXISTS daily_health_metrics ( - user_id INTEGER NOT NULL, - metric_date DATE NOT NULL, - - -- Steps & Distance - total_steps INTEGER, - step_goal INTEGER, - total_distance_meters REAL, - - -- Calories - total_calories INTEGER, - active_calories INTEGER, - bmr_calories INTEGER, - - -- Heart Rate (daily summary) - resting_heart_rate INTEGER, - max_heart_rate INTEGER, - min_heart_rate INTEGER, - average_heart_rate INTEGER, - - -- Stress - avg_stress_level INTEGER, - max_stress_level INTEGER, - - -- Body Battery - body_battery_high INTEGER, - body_battery_low INTEGER, - - -- Sleep Duration (hours) - sleep_duration_hours REAL, - deep_sleep_hours REAL, - light_sleep_hours REAL, - rem_sleep_hours REAL, - awake_hours REAL, - - -- Sleep Percentages - deep_sleep_percentage REAL, - light_sleep_percentage REAL, - rem_sleep_percentage REAL, - awake_percentage REAL, - - -- Sleep Quality - average_spo2 REAL, - average_respiration REAL, - - -- Training Readiness - training_readiness_score INTEGER, - training_readiness_level TEXT, - training_readiness_feedback TEXT, - - -- HRV (Heart Rate Variability) - hrv_weekly_avg REAL, - hrv_last_night_avg REAL, - hrv_status TEXT, - - -- Respiration - avg_waking_respiration_value REAL, - avg_sleep_respiration_value REAL, - lowest_respiration_value REAL, - highest_respiration_value REAL, - - -- Metadata - created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, - - PRIMARY KEY (user_id, metric_date) - ) - """, - indexes=[ - # Primary performance indexes - "CREATE INDEX IF NOT EXISTS idx_health_user_date ON daily_health_metrics(user_id, metric_date)", - - # Common query indexes - "CREATE INDEX IF NOT EXISTS idx_health_steps ON daily_health_metrics(total_steps)", - "CREATE INDEX IF NOT EXISTS idx_health_sleep_duration ON daily_health_metrics(sleep_duration_hours)", - "CREATE INDEX IF NOT EXISTS idx_health_resting_hr ON daily_health_metrics(resting_heart_rate)", - "CREATE INDEX IF NOT EXISTS idx_health_stress ON daily_health_metrics(avg_stress_level)", - "CREATE INDEX IF NOT EXISTS idx_health_body_battery ON daily_health_metrics(body_battery_high)", - "CREATE INDEX IF NOT EXISTS idx_health_training_readiness ON daily_health_metrics(training_readiness_score)" - ] -) - -# ======================================================================================== -# SCHEMA DEFINITION -# ======================================================================================== - -HEALTH_DB_SCHEMA = DatabaseSchema( - version=SchemaVersion.CURRENT, - tables=[ - TIMESERIES, - ACTIVITIES, - DAILY_HEALTH_METRICS - ], - global_indexes=[] # Additional cross-table indexes can be added here -) - - -# ======================================================================================== -# SCHEMA UTILITIES -# ======================================================================================== - -def get_schema_info() -> Dict[str, Any]: - """Get comprehensive schema information.""" - return { - "version": HEALTH_DB_SCHEMA.version.value, - "tables": { - table.name: { - "description": table.description, - "primary_key": table.primary_key, - "indexes_count": len(table.indexes) - } - for table in HEALTH_DB_SCHEMA.tables - }, - "total_tables": len(HEALTH_DB_SCHEMA.tables), - "total_indexes": sum(len(table.indexes) for table in HEALTH_DB_SCHEMA.tables) + len(HEALTH_DB_SCHEMA.global_indexes) - } - - -def validate_schema_version(current_version: str) -> bool: - """Validate if current version matches expected schema version.""" - return current_version == HEALTH_DB_SCHEMA.version.value - - -def get_table_names() -> List[str]: - """Get list of all table names in the schema.""" - return [table.name for table in HEALTH_DB_SCHEMA.tables] - - -def get_migration_statements(from_version: SchemaVersion, to_version: SchemaVersion) -> List[str]: - """Get SQL statements for schema migration (placeholder for future use).""" - if from_version == to_version: - return [] - - # Future migration logic would go here - raise NotImplementedError(f"Migration from {from_version.value} to {to_version.value} not implemented") diff --git a/src/garmy/localdb/sync.py b/src/garmy/localdb/sync.py index fb9db50..1ab769a 100644 --- a/src/garmy/localdb/sync.py +++ b/src/garmy/localdb/sync.py @@ -1,4 +1,4 @@ -"""Minimal and clean synchronization manager.""" +"""Synchronization manager for Garmin health data.""" import asyncio from datetime import date, datetime, timedelta @@ -8,13 +8,13 @@ from .db import HealthDB from .config import LocalDBConfig from .models import MetricType -from .progress import create_reporter, ProgressReporter +from .progress import ProgressReporter from .extractors import DataExtractor from .activities_iterator import ActivitiesIterator class SyncManager: - """Minimal synchronization manager for health metrics.""" + """Synchronization manager for health metrics.""" def __init__(self, db_path: Path = Path("health.db"), @@ -23,27 +23,16 @@ def __init__(self, """Initialize sync manager. Args: - db_path: Path to SQLite database file - config: Configuration object (default: LocalDBConfig()) - progress_reporter: Custom progress reporter (default: from config) + db_path: Path to SQLite database file. + config: Configuration object. + progress_reporter: Custom progress reporter. """ self.db_path = db_path self.config = config if config is not None else LocalDBConfig() - # Initialize database self.db = HealthDB(db_path, self.config.database) + self.progress = progress_reporter or ProgressReporter() - # Initialize progress reporter - if progress_reporter: - self.progress = progress_reporter - else: - self.progress = create_reporter( - self.config.sync.progress_reporter, - name="garmin_sync", - show_details=self.config.sync.progress_show_details - ) - - # Initialize utilities self.extractor = DataExtractor() self.api_client = None self.activities_iterator = None @@ -53,12 +42,10 @@ def initialize(self, email: str, password: str): try: from garmy import AuthClient, APIClient - # Setup authentication auth_client = AuthClient() auth_client.login(email, password) self.api_client = APIClient(auth_client=auth_client) - # Initialize activities iterator self.activities_iterator = ActivitiesIterator( self.api_client, self.config.sync, @@ -88,41 +75,34 @@ def sync_range(self, user_id: int, start_date: date, end_date: date, if not self.api_client: raise RuntimeError("Must call initialize() before syncing") - # # Validate date range - # if start_date > end_date: - # raise ValueError(f"start_date ({start_date}) cannot be after end_date ({end_date})") - - # Calculate total work date_count = abs((end_date - start_date).days) + 1 - # Prevent extremely large sync ranges if date_count > self.config.sync.max_sync_days: raise ValueError(f"Date range too large: {date_count} days. Maximum allowed: {self.config.sync.max_sync_days} days") - # Use all metrics if none specified if metrics is None: metrics = list(MetricType) - # Calculate work non_activities_metrics = [m for m in metrics if m != MetricType.ACTIVITIES] total_tasks = date_count * len(metrics) - # Initialize progress - self.progress.start_sync(total_tasks, f"Syncing {date_count} days") + self.progress.start_sync(total_tasks) - # Sync statistics stats = {'completed': 0, 'skipped': 0, 'failed': 0, 'total_tasks': total_tasks} try: - # Process each date + for current_date in self._date_range(start_date, end_date): + for metric_type in metrics: + if not self.db.sync_status_exists(user_id, current_date, metric_type): + self.db.create_sync_status(user_id, current_date, metric_type, 'pending') + for current_date in self._date_range(start_date, end_date): self._sync_date(user_id, current_date, metrics, stats) except Exception as e: - self.progress.error(f"Sync failed: {e}") raise finally: - self.progress.end_sync(stats['failed'] == 0) + self.progress.end_sync() return stats @@ -136,43 +116,45 @@ def _sync_date(self, user_id: int, sync_date: date, metrics: List[MetricType], s self._sync_metric_for_date(user_id, sync_date, metric_type, stats) except Exception as e: - self.progress.warning(f"Failed to sync {metric_type.value} for {sync_date}: {e}") + self.db.update_sync_status(user_id, sync_date, metric_type, 'failed', str(e)) + self.progress.task_failed(f"{metric_type.value}", sync_date) stats['failed'] += 1 def _sync_metric_for_date(self, user_id: int, sync_date: date, metric_type: MetricType, stats: Dict[str, int]): """Sync a single metric for a date.""" - # Check if already exists - if self._has_metric_data(user_id, metric_type, sync_date): + if self._is_metric_completed(user_id, metric_type, sync_date): stats['skipped'] += 1 - self.progress.task_skipped(f"{metric_type.value} for {sync_date}", "Already exists") + self.progress.task_skipped(f"{metric_type.value}", sync_date) return try: - # Fetch data from API if metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, MetricType.HEART_RATE, MetricType.RESPIRATION]: - # Timeseries data data = self.api_client.metrics.get(metric_type.value).get(sync_date) timeseries_data = self.extractor.extract_timeseries_data(data, metric_type) if timeseries_data: self.db.store_timeseries_batch(user_id, metric_type, timeseries_data) + self.db.update_sync_status(user_id, sync_date, metric_type, 'completed') stats['completed'] += 1 else: + self.db.update_sync_status(user_id, sync_date, metric_type, 'skipped') stats['skipped'] += 1 else: - # Daily metrics data = self.api_client.metrics.get(metric_type.value).get(sync_date) extracted_data = self.extractor.extract_metric_data(data, metric_type) if extracted_data and any(v is not None for v in extracted_data.values()): self._store_health_metric(user_id, sync_date, metric_type, extracted_data) + self.db.update_sync_status(user_id, sync_date, metric_type, 'completed') stats['completed'] += 1 else: + self.db.update_sync_status(user_id, sync_date, metric_type, 'skipped') stats['skipped'] += 1 - self.progress.task_complete(f"{metric_type.value} for {sync_date}") + self.progress.task_complete(f"{metric_type.value}", sync_date) except Exception as e: - self.progress.warning(f"Failed to sync {metric_type.value} for {sync_date}: {e}") + self.db.update_sync_status(user_id, sync_date, metric_type, 'failed', str(e)) + self.progress.task_failed(f"{metric_type.value}", sync_date) stats['failed'] += 1 def _sync_activities_for_date(self, user_id: int, sync_date: date, stats: Dict[str, int]): @@ -191,22 +173,19 @@ def _sync_activities_for_date(self, user_id: int, sync_date: date, stats: Dict[s activity_id = activity_data['activity_id'] - # Check if already stored if self.db.activity_exists(user_id, activity_id): stats['skipped'] += 1 continue - # Add required date field activity_data['activity_date'] = sync_date - # Store activity self.db.store_activity(user_id, activity_data) stats['completed'] += 1 - self.progress.task_complete(f"activities for {sync_date}") + self.progress.task_complete("activities", sync_date) except Exception as e: - self.progress.warning(f"Failed to sync activities for {sync_date}: {e}") + self.progress.task_failed("activities", sync_date) stats['failed'] += 1 def _store_health_metric(self, user_id: int, sync_date: date, metric_type: MetricType, data: Dict): @@ -232,14 +211,10 @@ def _store_health_metric(self, user_id: int, sync_date: date, metric_type: Metri elif metric_type == MetricType.RESPIRATION: self.db.store_health_metric(user_id, sync_date, **data) - def _has_metric_data(self, user_id: int, metric_type: MetricType, sync_date: date) -> bool: - """Check if metric data already exists.""" - if metric_type in [MetricType.DAILY_SUMMARY, MetricType.SLEEP, - MetricType.TRAINING_READINESS, MetricType.HRV, MetricType.RESPIRATION]: - return self.db.health_metric_exists(user_id, sync_date) - else: - # For other metrics, just check normalized table - return self.db.health_metric_exists(user_id, sync_date) + def _is_metric_completed(self, user_id: int, metric_type: MetricType, sync_date: date) -> bool: + """Check if metric is already completed.""" + status = self.db.get_sync_status(user_id, sync_date, metric_type) + return status == 'completed' def _date_range(self, start_date: date, end_date: date): """Generate date range in either direction.""" @@ -249,10 +224,6 @@ def _date_range(self, start_date: date, end_date: date): yield current current += timedelta(days=step) - # ======================================================================================== - # QUERY METHODS (Basic data access) - # ======================================================================================== - def query_health_metrics(self, user_id: int, start_date: date, end_date: date) -> List[Dict]: """Query normalized health metrics for analysis.""" return self.db.get_health_metrics(user_id, start_date, end_date) diff --git a/test.db b/test.db deleted file mode 100644 index 4cbc013a8700d318c812d7e818929bab90a0563b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 81920 zcmeI2&u<&Y6~{^aqAgRB-6kMVpuiXbQZ8cGa0HUzS zKe9WNP2ZRVz7dwLpPh5}?SnhyFDMa_P)2xwAvgl7`a@TaV-4vs3-$0Tzod2mE*!^@@x+UoX$ z&H06Qrn;4|r(4FPPjZt*fs5Kw{PzVcII1i%a(6zBZnHhd$p={O_B0CN&SrckSnxN-LKZk(Srs#I<3`i z7^+kXl8Rc;T4v~O-Xtf{l6s$1yil-ClNVHyjYNsT>1@$iJFqAWThfR7oCSi^WrC4%6fP3>+ieyM z977rKPwaS=HeHe9Ok;>@ABIWo% zF;uoAXOv;7WkXzb^u^j}5{tx_4vRUOfVbx;*mL$wMoOK08HpZ$sAC>9c}K{wn!!pr z+DjyJyqzi3F3*(3eosjZ)=5Mj_L=VqGx*~q4SU@WE&h(XWg7OpxB|)G(+HT?k;{wJ zIdi?vWHyUYHx0(!G;DT*j3sDM$7`TbecUkjGK=&n=k6J6J|nSu62|@dBT`Q78IM@t zu`^GhF*l4>a6zAQ{!A8Jaxq%yD1pyHK|4_rW{cz|E&5@GKXuL4a8+#pGA-4XmBLRi znBV6XXQKTgsuf>HEf=ud4qt0xwI$5b8cxe(JLH1N)1DdaO&NDtyir-3Hx3S~Cym|1 zV^XPpyn9+}kb9@~diAJ5lO8j~{a#e~z4lnc@Nxa%aJT-1d|G`%rs{#HC`shb{@PmU zvz>e{Do(;LWJYkx`l1{CElb1c(wpA4wHCgrEf-4HujgMiqq;&DQ~GJes3COw8&wXY z;REWqQIe%9hxB%u$kgYaEHSLYsG6K!bd%MqJ`0RlWCG7SY?I~dcbRL+YPoXcL99x; z(dtPX_&G^s&x?eR=jy${*Kv{r{pz z5dMPz2!H?xfB*=900@8p2!H?xfWUkLc>kZz2nrAY0T2KI5C8!X009sH0T2KI5Lk2q zc>iDY2*Q65009sH0T2KI5C8!X009sH0T7r^0Pp|v89@O8AOHd&00JNY0w4eaAOHd& z00N6n0Pp{c9zpmI0w4eaAOHd&00JNY0w4eaAOHgM3E=&IJ|ieV00ck)1V8`;KmY_l z00ck)1VCWX3E=&I(IW`|K>!3m00ck)1V8`;KmY_l00cl_J^{S{&u0V$2!H?xfB*=9 z00@8p2!H?xfB*tmIZ#c5<74 z-TGJYFPopQ>=Y}@-z_^!KP=VqKjx2f-{<~ln`OANSt$KsCqHz&j>}(o?hD%D%oi;h z@KAW2bJ_}A=J|thbDN96Yld6*>ebywl^h&Zs*j0v7Pk{J%f&3q$*4^0k-~FtkT|T72`5-Dl*2K1ooip4h6iWNj_}#>~@Y-C) zR*{Vci9wH3)u=lzO?jaECI%@tbZ0qnV-#IA`Hfg0Si9$ZQ(TSm?b|zoo%z<>vgO;_ z$f3sWUae|f;-tJzQa>X<VHy zjYNsT>1@$iJFqAWThfR7Y8xeWnP8+Gg^Ps!cAEtQ$52l1x^~anEII;4J9CD{>!|Z! zriNYcfSq%z&TuS>r}WN*$S%(1uBe)+&o6jJtdz5M)uf5Nt~(%mOvqpkjJ`A3LC@k2 z+Vaj@_K$4H{O)tDGGtGWmsz25LX?2u{N5-BJrieVvZ)@ z?KukeoIR6~QYT+VqQ@WVmHIkjgzVu8obJcY*GFj~O{ea`taS^LSwXrZG7 zJ_`lyL`j$}lAE;XhZ+9VHCw|~wE@VqR3&H%KfPdnpIe-X_KT=id>yr1z_Pr3t%=o^ zFiUGVEtBn#3nou{X0$hD+-31bnIMgW!|F+6_wblhsvqy3)*9sAX}w-OYS5&|3~|2~ z6@ITh)-ZfrKRDd2KOvu1pOC3~ASy}{xwG}(+`(r%`CL?-gkQ*v;FR@6H~L$ahSP5W z^tP?F@KtTOP`Z9S|Ed|)6}p(xPb)?Zq1)f6au^LCP|uB$ELAzAmsKKDpL?>zunMDU za(dBCR+zsp=pR?C$m4_Q^xjaE?C#Rs4=)mXRxZo5>JJd(ko{ zpPW26G8e3!ZOXxP4X&5p_R=iO8V|j#pO@u3{U!BYkMI9&|GR-U5C8!X009sH0T2KI z5C8!X009vAWf9nrAE&rp%5D8)>vx-f+uYmu_r`wlKgHcE|Ge_2^}ovw{D1%mfB*=9 z00@8p2)qphhQGNcZ=A^+h1KN7nfyvpUGGf3c}#93*uKhrXX@@*=5TfQ%r-@N+ERS? z!5J2=%8Q1!>yGKmHnur`o#j?~V5UQ9QFP Date: Mon, 30 Jun 2025 14:05:13 +0400 Subject: [PATCH 4/8] clean code --- README.md | 556 ++++++++--------------------- docs/README.md | 59 +++ docs/claude-desktop-integration.md | 352 ++++++++++++++++++ docs/database-schema.md | 299 ++++++++++++++++ docs/localdb-guide.md | 306 ++++++++++++++++ docs/mcp-server-guide.md | 343 ++++++++++++++++++ docs/quick-start.md | 142 ++++++++ examples/README.md | 4 +- examples/mcp_server_example.py | 87 +++++ pyproject.toml | 25 +- src/garmy/mcp/__init__.py | 13 + src/garmy/mcp/__main__.py | 6 + src/garmy/mcp/cli.py | 312 ++++++++++++++++ src/garmy/mcp/config.py | 40 +++ src/garmy/mcp/server.py | 478 +++++++++++++++++++++++++ 15 files changed, 2613 insertions(+), 409 deletions(-) create mode 100644 docs/README.md create mode 100644 docs/claude-desktop-integration.md create mode 100644 docs/database-schema.md create mode 100644 docs/localdb-guide.md create mode 100644 docs/mcp-server-guide.md create mode 100644 docs/quick-start.md create mode 100644 examples/mcp_server_example.py create mode 100644 src/garmy/mcp/__main__.py create mode 100644 src/garmy/mcp/cli.py create mode 100644 src/garmy/mcp/config.py create mode 100644 src/garmy/mcp/server.py diff --git a/README.md b/README.md index e653e28..f4ba8a7 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,8 @@ An AI-powered Python library for Garmin Connect API designed specifically for he - **๐Ÿฅ Health Analytics**: Advanced data analysis capabilities for fitness and wellness insights - **๐Ÿ“Š Rich Metrics**: Complete access to sleep, heart rate, stress, training readiness, and more - **๐Ÿ’พ Local Database**: Built-in SQLite database for local health data storage and sync -- **๐Ÿ–ฅ๏ธ CLI Tool**: Command-line interface for data synchronization and management +- **๐Ÿ–ฅ๏ธ CLI Tools**: Command-line interfaces for data synchronization and MCP server management +- **๐Ÿค– MCP Server**: Model Context Protocol server for AI assistant integration (Claude Desktop) - **โšก Real-time Processing**: Async/await support for high-performance AI applications - **๐Ÿ›ก๏ธ Type Safe**: Full type hints and runtime validation for reliable AI workflows - **๐Ÿ”„ Auto-Discovery**: Automatic metric registration and API endpoint discovery @@ -27,6 +28,17 @@ An AI-powered Python library for Garmin Connect API designed specifically for he pip install garmy ``` +### With Optional Features +```bash +# For local database functionality +pip install garmy[localdb] + +# For MCP server functionality (AI assistants) +pip install garmy[mcp] + +# For everything +pip install garmy[all] +``` ### Development Installation ```bash @@ -37,41 +49,7 @@ pip install -e ".[dev]" ## ๐Ÿš€ Quick Start -### AI Agent Example (Recommended) - -```python -from garmy import AuthClient, APIClient -import asyncio - -# Create an AI health agent -async def health_agent(): - auth_client = AuthClient() - api_client = APIClient(auth_client=auth_client) - - # Login using environment variables (secure for AI agents) - await auth_client.login_async( - email=os.getenv('GARMIN_EMAIL'), - password=os.getenv('GARMIN_PASSWORD') - ) - - # AI agent can now analyze multiple health metrics concurrently - sleep_task = api_client.metrics.get('sleep').get_async() - readiness_task = api_client.metrics.get('training_readiness').get_async() - hrv_task = api_client.metrics.get('hrv').get_async() - - sleep_data, readiness_data, hrv_data = await asyncio.gather( - sleep_task, readiness_task, hrv_task - ) - - # AI analysis logic here - health_score = analyze_health_trends(sleep_data, readiness_data, hrv_data) - return health_score - -# Run AI health agent -health_insights = asyncio.run(health_agent()) -``` - -### Basic Usage +### Basic API Usage ```python from garmy import AuthClient, APIClient @@ -90,104 +68,45 @@ print(f"Training Readiness Score: {readiness[0].score}/100") # Get sleep data for specific date sleep_data = api_client.metrics.get('sleep').get('2023-12-01') print(f"Sleep Score: {sleep_data[0].overall_sleep_score}") - -# Get multiple days of data -weekly_steps = api_client.metrics['steps'].list(days=7) ``` -### Async Usage - -```python -import asyncio -from garmy import AuthClient, APIClient - -async def main(): - auth_client = AuthClient() - api_client = APIClient(auth_client=auth_client) - - # Login - await auth_client.login_async("your_email@garmin.com", "your_password") - - # Get multiple metrics concurrently - sleep_task = api_client.metrics.get('sleep').get_async() - hr_task = api_client.metrics.get('heart_rate').get_async() - - sleep_data, hr_data = await asyncio.gather(sleep_task, hr_task) - -asyncio.run(main()) -``` - -## ๐Ÿ’พ Local Database & CLI Tool - -### CLI Tool for Data Synchronization - -Garmy includes a powerful CLI tool for local data synchronization and management: +### Local Database & CLI Tools ```bash -# Sync last 7 days of data +# Sync recent health data to local database garmy-sync sync --last-days 7 -# Sync specific date range -garmy-sync sync --date-range 2024-01-01 2024-01-31 - -# Sync specific metrics only -garmy-sync sync --metrics DAILY_SUMMARY,SLEEP,BODY_BATTERY - -# Show sync status +# Check sync status garmy-sync status -# Reset failed sync records -garmy-sync reset --force -``` - -### Local Database Usage +# Start MCP server for AI assistants +garmy-mcp server --database health.db -Store and query health data locally using the built-in SQLite database: +# Show database info +garmy-mcp info --database health.db -```python -from garmy.localdb import SyncManager, HealthDB -from datetime import date, timedelta - -# Initialize sync manager -sync_manager = SyncManager(db_path="my_health.db") -sync_manager.initialize("email@garmin.com", "password") - -# Sync data to local database -end_date = date.today() -start_date = end_date - timedelta(days=30) - -stats = sync_manager.sync_range( - user_id=1, - start_date=start_date, - end_date=end_date -) +# Get configuration examples +garmy-mcp config +``` -print(f"Synced: {stats['completed']} records") +### AI Assistant Integration (Claude Desktop) -# Query local data -health_data = sync_manager.query_health_metrics( - user_id=1, - start_date=start_date, - end_date=end_date -) +Add to your Claude Desktop configuration (`~/.claude_desktop_config.json`): -activities = sync_manager.query_activities( - user_id=1, - start_date=start_date, - end_date=end_date -) +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": ["server", "--database", "/path/to/health.db", "--max-rows", "500"] + } + } +} ``` -### Database Schema - -The local database stores health data in optimized tables: +Now ask Claude: *"What health data do I have available? Analyze my sleep patterns over the last month."* -- **`daily_health_metrics`**: Normalized daily health data (steps, sleep, HR, etc.) -- **`timeseries`**: High-frequency data (heart rate, stress, body battery) -- **`activities`**: Individual workouts and activities -- **`sync_status`**: Sync status tracking for each metric per date - -## ๐Ÿ“Š Available Metrics +## ๐Ÿ“Š Available Health Metrics Garmy provides access to a comprehensive set of Garmin Connect metrics: @@ -199,192 +118,132 @@ Garmy provides access to a comprehensive set of Garmin Connect metrics: | `steps` | Daily step counts and goals | `api_client.metrics.get('steps').list(days=7)` | | `training_readiness` | Training readiness scores and factors | `api_client.metrics.get('training_readiness').get()` | | `body_battery` | Body battery energy levels | `api_client.metrics.get('body_battery').get()` | -| `hrv` | Heart rate variability data | `api_client.metrics.get('hrv').get()` | -| `respiration` | Respiration rate measurements | `api_client.metrics.get('respiration').get()` | -| `calories` | Daily calorie burn data | `api_client.metrics.get('calories').get()` | | `activities` | Activity summaries and details | `api_client.metrics.get('activities').list(days=30)` | -| `daily_summary` | Comprehensive daily health summary | `api_client.metrics.get('daily_summary').get()` | -## ๐Ÿ“Š AI Health Data Analysis +## ๐Ÿง‘โ€๐Ÿ’ป Architecture Overview -### Building AI Health Models +Garmy consists of three main modules: -```python -from garmy import APIClient, AuthClient -import pandas as pd -import numpy as np -from sklearn.ensemble import RandomForestRegressor -from sklearn.preprocessing import StandardScaler +### ๐Ÿ”Œ **Core Library** +- **Garmin Connect API**: Type-safe access to all health metrics +- **Async Support**: High-performance concurrent operations +- **Auto-Discovery**: Automatic endpoint and metric detection -# Setup AI health analysis pipeline -auth_client = AuthClient() -api_client = APIClient(auth_client=auth_client) -auth_client.login("email", "password") - -# Gather comprehensive health data for AI model -async def build_health_dataset(days=90): - # Collect multiple health metrics concurrently - tasks = [ - api_client.metrics.get('sleep').list_async(days=days), - api_client.metrics.get('training_readiness').list_async(days=days), - api_client.metrics.get('hrv').list_async(days=days), - api_client.metrics.get('stress').list_async(days=days), - api_client.metrics.get('body_battery').list_async(days=days) - ] - - sleep_data, readiness_data, hrv_data, stress_data, battery_data = await asyncio.gather(*tasks) - - # Build comprehensive health dataset - health_df = pd.DataFrame() - # ... merge and process data for AI model training - - return health_df +### ๐Ÿ’พ **LocalDB Module** +- **SQLite Storage**: Local database for health data persistence +- **Data Sync**: Robust synchronization with conflict resolution +- **CLI Tools**: `garmy-sync` for data management -# Train AI model to predict training readiness -def train_readiness_predictor(health_df): - features = ['sleep_score', 'hrv_rmssd', 'stress_avg', 'body_battery_drained'] - X = health_df[features] - y = health_df['training_readiness_score'] - - model = RandomForestRegressor(n_estimators=100, random_state=42) - model.fit(X, y) - - return model +### ๐Ÿค– **MCP Server Module** +- **AI Integration**: Model Context Protocol server for AI assistants +- **Secure Access**: Read-only database access with query validation +- **Claude Desktop**: Native integration with Claude Desktop +- **CLI Tools**: `garmy-mcp` for server management -# AI-powered health insights -def generate_health_insights(model, current_metrics): - predicted_readiness = model.predict([current_metrics])[0] - - insights = { - 'readiness_prediction': predicted_readiness, - 'recommendation': 'high_intensity' if predicted_readiness > 75 else 'recovery', - 'confidence': model.score(X_test, y_test) - } - - return insights -``` +## ๐Ÿ“š Documentation + +### ๐Ÿ“– Getting Started +- **[Quick Start Guide](docs/quick-start.md)** - Get up and running in minutes +- **[Installation Guide](docs/quick-start.md#installation)** - Detailed installation instructions +- **[Basic Examples](docs/examples/basic-usage.md)** - Simple usage patterns + +### ๐Ÿ—๏ธ Core Features +- **[API Reference](docs/api-reference.md)** - Complete API documentation +- **[Configuration](docs/configuration.md)** - Environment variables and settings +- **[Available Metrics](docs/api-reference.md#metrics)** - All supported health metrics + +### ๐Ÿ’พ Local Database +- **[LocalDB Guide](docs/localdb-guide.md)** - Complete local storage guide +- **[Database Schema](docs/database-schema.md)** - Schema and table structure +- **[Sync Operations](docs/sync-operations.md)** - Data synchronization patterns + +### ๐Ÿค– AI Integration +- **[MCP Server Guide](docs/mcp-server-guide.md)** - AI assistant integration +- **[Claude Desktop Setup](docs/claude-desktop-integration.md)** - Step-by-step Claude integration +- **[MCP Tools Reference](docs/mcp-tools-reference.md)** - Available AI tools + +### ๐Ÿ”ฌ Advanced Usage +- **[AI Health Analytics](docs/examples/ai-health-analytics.md)** - Building AI health applications +- **[Advanced Workflows](docs/examples/advanced-workflows.md)** - Complex analysis patterns +- **[Contributing Guide](docs/contributing.md)** - How to contribute -### AI-Powered Health Monitoring +## ๐ŸŽฏ Use Cases +### For AI Developers ```python -# Create an AI health monitoring agent -class HealthMonitoringAgent: - def __init__(self, api_client): - self.api_client = api_client - self.health_model = self.load_trained_model() +# Build AI health monitoring agents +from garmy import APIClient, AuthClient +import asyncio + +async def health_agent(): + auth_client = AuthClient() + api_client = APIClient(auth_client=auth_client) - async def daily_health_check(self): - """Perform daily AI-powered health analysis""" - # Get today's metrics - today_data = await self.get_current_metrics() - - # AI analysis - health_score = self.health_model.predict_health_score(today_data) - recommendations = self.generate_recommendations(health_score, today_data) - alerts = self.check_health_alerts(today_data) - - return { - 'health_score': health_score, - 'recommendations': recommendations, - 'alerts': alerts, - 'insights': self.generate_insights(today_data) - } + # Login and get multiple metrics concurrently + await auth_client.login_async(email, password) + sleep_task = api_client.metrics.get('sleep').get_async() + readiness_task = api_client.metrics.get('training_readiness').get_async() - def generate_recommendations(self, health_score, data): - """AI-generated personalized health recommendations""" - if health_score > 80: - return "Great day for high-intensity training!" - elif health_score > 60: - return "Moderate activity recommended. Focus on technique." - else: - return "Prioritize recovery today. Light movement only." + sleep_data, readiness_data = await asyncio.gather(sleep_task, readiness_task) - async def weekly_health_report(self): - """Generate comprehensive AI health report""" - week_data = await self.api_client.metrics.get('daily_summary').list_async(days=7) - - # AI trend analysis - trends = self.analyze_trends(week_data) - predictions = self.predict_next_week(week_data) - - return self.format_health_report(trends, predictions) - -# Usage -agent = HealthMonitoringAgent(api_client) -daily_insights = await agent.daily_health_check() -weekly_report = await agent.weekly_health_report() + # AI analysis logic here + return analyze_health_trends(sleep_data, readiness_data) ``` -## ๐Ÿง‘โ€๐Ÿ’ป Development - -### Running Examples - -Check out the `examples/` directory for comprehensive usage examples: - +### For Data Analysts ```bash -# Basic authentication example -python examples/basic_auth.py +# Local database analysis workflow +garmy-sync sync --last-days 90 # Sync 3 months of data +garmy-mcp server --database health.db # Start MCP server +# Use Claude Desktop or Python to analyze trends, correlations, patterns +``` -# Sleep analysis demo -python examples/sleep_demo.py +### For Health Researchers +```python +# Large-scale health data collection +from garmy.localdb import SyncManager -# Training readiness analysis -python examples/training_readiness_demo.py +sync_manager = SyncManager(db_path="research_data.db") +sync_manager.initialize(email, password) -# Local database sync example -python examples/localdb_demo.py - -# CLI tool usage -garmy-sync sync --last-days 7 -garmy-sync status +# Collect comprehensive health dataset +stats = sync_manager.sync_range( + user_id=1, + start_date=date(2023, 1, 1), + end_date=date.today(), + metrics=[MetricType.SLEEP, MetricType.HRV, MetricType.STRESS] +) ``` -### Adding Custom Metrics +## ๐Ÿ›ก๏ธ Security & Privacy -Garmy's modular architecture makes it easy to add new metrics: +- **๐Ÿ”’ Local Data**: All health data stored locally in SQLite +- **๐Ÿ” Read-Only MCP**: AI assistants have read-only database access +- **๐Ÿ›ก๏ธ Query Validation**: SQL injection prevention and query limits +- **๐Ÿ”‘ Secure Auth**: OAuth token management with automatic refresh +- **๐Ÿšซ No Data Sharing**: Health data never leaves your local environment -```python -from dataclasses import dataclass -from garmy.core.base import BaseMetric +## ๐Ÿงช Examples -@dataclass -class CustomMetric(BaseMetric): - endpoint_path = "/usersummary-service/stats/custom/{date}" - - custom_field: int - timestamp: str - - def validate(self) -> bool: - """Custom validation logic""" - return self.custom_field > 0 -``` - -### Configuration +Check out the `examples/` directory for comprehensive usage examples: -Customize Garmy behavior with configuration: +```bash +# Basic authentication and metrics +python examples/basic_usage.py -```python -from garmy.core.config import set_config, GarmyConfig - -# Create custom configuration -config = GarmyConfig( - request_timeout=30, - retries=3, - max_workers=10, - default_user_agent="MyApp/1.0" -) +# Local database operations +python examples/localdb_demo.py -# Apply configuration -set_config(config) +# MCP server configuration +python examples/mcp_server_example.py -# Or use environment variables -import os -os.environ['GARMY_REQUEST_TIMEOUT'] = '30' -os.environ['GARMY_MAX_WORKERS'] = '10' +# AI health analytics +python examples/ai_health_analytics.py ``` -### Testing +## ๐Ÿ”ง Development +### Running Tests ```bash # Install development dependencies make install-dev @@ -394,153 +253,42 @@ make test # Run specific test modules make test-core # Core functionality -make test-auth # Authentication -make test-metrics # Metrics +make test-localdb # LocalDB module +make test-mcp # MCP server # Check code quality make lint make quick-check ``` -## ๐Ÿ”ง Advanced Usage - -### Async Operations - +### Adding Custom Metrics ```python -import asyncio -from garmy import APIClient, AuthClient +from dataclasses import dataclass +from garmy.core.base import BaseMetric -async def analyze_weekly_data(): - auth_client = AuthClient() - api_client = APIClient(auth_client=auth_client) - - # Async login - await auth_client.login_async("email", "password") - - # Fetch multiple metrics concurrently - tasks = [ - api_client.metrics.get('sleep').list_async(days=7), - api_client.metrics.get('steps').list_async(days=7), - api_client.metrics.get('stress').list_async(days=7) - ] +@dataclass +class CustomMetric(BaseMetric): + endpoint_path = "/usersummary-service/stats/custom/{date}" - sleep_data, steps_data, stress_data = await asyncio.gather(*tasks) + custom_field: int + timestamp: str - return { - 'sleep': sleep_data, - 'steps': steps_data, - 'stress': stress_data - } - -# Run async analysis -data = asyncio.run(analyze_weekly_data()) -``` - -### Custom Error Handling - -```python -from garmy.core.exceptions import APIError, AuthError, GarmyError - -try: - auth_client.login("wrong_email", "wrong_password") -except AuthError as e: - print(f"Authentication failed: {e}") -except APIError as e: - print(f"API error: {e}") -except GarmyError as e: - print(f"General Garmy error: {e}") -``` - -### Rate Limiting & Retries - -```python -from garmy.core.config import set_config, GarmyConfig - -# Configure retry behavior -config = GarmyConfig( - retries=5, - backoff_factor=1.0, - max_workers=5 # Limit concurrent requests -) -set_config(config) -``` - -## ๐Ÿ›ก๏ธ Security for AI Health Applications - -### AI Agent Security Best Practices - -1. **Environment Variables**: Essential for AI agents - store credentials securely outside code -2. **Data Security**: Use environment variables to prevent credential exposure to external services -3. **OAuth Token Management**: Garmy handles OAuth tokens securely with automatic refresh for long-running AI agents -4. **HTTPS Only**: All communications use HTTPS with certificate verification -5. **AI Data Privacy**: Health data never leaves your local environment unless explicitly exported -6. **Secure AI Pipelines**: Design AI workflows that protect sensitive health information - -### Best Practices - -```python -import os -from garmy import AuthClient - -# โœ… Good: Use environment variables -email = os.getenv('GARMIN_EMAIL') -password = os.getenv('GARMIN_PASSWORD') - -# โŒ Bad: Hardcode credentials -# email = "your_email@example.com" -# password = "your_password" - -auth_client = AuthClient() -auth_client.login(email, password) + def validate(self) -> bool: + return self.custom_field > 0 ``` -## ๐Ÿ“ API Reference - -### Core Classes - -- **`AuthClient`**: Handles authentication and session management -- **`APIClient`**: Main interface for accessing Garmin Connect data -- **`MetricAccessor`**: Provides access to specific metrics - -### Configuration Classes - -- **`GarmyConfig`**: Main configuration class -- **`ConfigManager`**: Configuration management utilities - -### Metrics Classes - -Each metric has its own dataclass with type-safe fields. Examples: -- **`SleepData`**: Sleep tracking information -- **`HeartRateData`**: Heart rate statistics -- **`StepsData`**: Step count and goals -- **`TrainingReadinessData`**: Training readiness scores - ## ๐Ÿค Contributing -We welcome contributions! Please see our [Contributing Guide](DEVELOPMENT.md) for details. +We welcome contributions! Please see our [Contributing Guide](docs/contributing.md) for details. ### Development Setup - ```bash -# Clone repository git clone https://github.com/bes-dev/garmy.git cd garmy - -# Install in development mode make install-dev - -# Run quality checks -make ci +make ci # Run quality checks ``` -### Submitting Changes - -1. Fork the repository -2. Create a feature branch: `git checkout -b feature/new-feature` -3. Make your changes -4. Run tests: `make ci` -5. Submit a pull request - ## ๐Ÿ™ Acknowledgments Garmy was heavily inspired by the excellent [garth](https://github.com/matin/garth) library by [Matin Tamizi](https://github.com/matin). We're grateful for the foundational work that made this project possible. Garmy builds upon garth's concepts with: @@ -549,6 +297,8 @@ Garmy was heavily inspired by the excellent [garth](https://github.com/matin/gar - Full type safety with mypy compliance - Comprehensive async/await support - Auto-discovery system for metrics +- Local database integration +- MCP server for AI assistants - Modern Python architecture and testing practices Special thanks to the garth project and its contributors for pioneering accessible Garmin Connect API access. @@ -563,11 +313,11 @@ This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENS ## ๐Ÿ”— Links -- **Documentation**: [DEVELOPMENT.md](DEVELOPMENT.md) -- **Examples**: [examples/](examples/) -- **Issues**: [GitHub Issues](https://github.com/bes-dev/garmy/issues) -- **PyPI**: [https://pypi.org/project/garmy/](https://pypi.org/project/garmy/) +- **[Documentation](docs/)** - Complete documentation +- **[PyPI Package](https://pypi.org/project/garmy/)** - Install via pip +- **[GitHub Issues](https://github.com/bes-dev/garmy/issues)** - Bug reports and feature requests +- **[Examples](examples/)** - Usage examples and tutorials --- -*Garmy makes Garmin Connect data accessible with modern Python practices, type safety, and AI assistant integration.* \ No newline at end of file +*Garmy makes Garmin Connect data accessible with modern Python practices, type safety, and AI assistant integration for building intelligent health applications.* \ No newline at end of file diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 0000000..719716d --- /dev/null +++ b/docs/README.md @@ -0,0 +1,59 @@ +# Garmy Documentation + +Complete documentation for the Garmy health data analysis library. + +## ๐Ÿ“š Documentation Index + +### Core Library +- **[Quick Start Guide](quick-start.md)** - Get up and running with Garmy in minutes +- **[API Reference](api-reference.md)** - Complete API documentation for all modules +- **[Configuration](configuration.md)** - Configuration options and environment variables + +### LocalDB Module +- **[LocalDB Guide](localdb-guide.md)** - Complete guide to local health data storage +- **[Database Schema](database-schema.md)** - Database structure and table relationships +- **[Sync Operations](sync-operations.md)** - Data synchronization and management + +### MCP Server +- **[MCP Server Guide](mcp-server-guide.md)** - Model Context Protocol server for AI integration +- **[MCP Tools Reference](mcp-tools-reference.md)** - Available tools and their usage +- **[Claude Desktop Integration](claude-desktop-integration.md)** - Setup with Claude Desktop + +### Examples and Tutorials +- **[Basic Examples](examples/basic-usage.md)** - Simple usage patterns +- **[AI Health Analytics](examples/ai-health-analytics.md)** - Building AI health applications +- **[Advanced Workflows](examples/advanced-workflows.md)** - Complex analysis patterns + +### Development +- **[Contributing Guide](contributing.md)** - How to contribute to Garmy +- **[Development Setup](development-setup.md)** - Local development environment +- **[Testing Guide](testing.md)** - Running and writing tests + +## ๐ŸŽฏ Quick Navigation + +### For Beginners +1. [Quick Start Guide](quick-start.md) - Start here! +2. [Basic Examples](examples/basic-usage.md) - Learn with examples +3. [Configuration](configuration.md) - Customize your setup + +### For AI Developers +1. [AI Health Analytics](examples/ai-health-analytics.md) - AI integration patterns +2. [MCP Server Guide](mcp-server-guide.md) - AI assistant integration +3. [Claude Desktop Integration](claude-desktop-integration.md) - Claude setup + +### For Data Analysts +1. [LocalDB Guide](localdb-guide.md) - Local data storage +2. [Database Schema](database-schema.md) - Understanding the data +3. [Advanced Workflows](examples/advanced-workflows.md) - Analysis patterns + +### For Contributors +1. [Contributing Guide](contributing.md) - Get started contributing +2. [Development Setup](development-setup.md) - Dev environment +3. [API Reference](api-reference.md) - Understand the codebase + +## ๐Ÿ”— External Resources + +- **[GitHub Repository](https://github.com/bes-dev/garmy)** - Source code and issues +- **[PyPI Package](https://pypi.org/project/garmy/)** - Installation and releases +- **[Garmin Connect API](https://connect.garmin.com/)** - Data source +- **[FastMCP Framework](https://github.com/jlowin/fastmcp)** - MCP server framework \ No newline at end of file diff --git a/docs/claude-desktop-integration.md b/docs/claude-desktop-integration.md new file mode 100644 index 0000000..ad0683b --- /dev/null +++ b/docs/claude-desktop-integration.md @@ -0,0 +1,352 @@ +# Claude Desktop Integration + +Complete guide to integrating Garmy's MCP server with Claude Desktop for AI-powered health data analysis. + +## ๐ŸŽฏ Overview + +Claude Desktop integration allows you to have natural conversations with Claude about your health data, enabling: +- **Natural language queries** about your health metrics +- **Trend analysis** and pattern recognition +- **Health insights** and recommendations +- **Data exploration** without writing SQL + +## ๐Ÿš€ Quick Setup + +### 1. Prerequisites +```bash +# Install Garmy with MCP support +pip install garmy[mcp] + +# Sync your health data +garmy-sync sync --last-days 30 +``` + +### 2. Verify MCP Server Works +```bash +# Test the server +garmy-mcp info --database health.db + +# Start server to verify it works +garmy-mcp server --database health.db --verbose +``` + +### 3. Configure Claude Desktop + +#### Find Configuration File +- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` +- **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` +- **Linux**: `~/.config/Claude/claude_desktop_config.json` + +#### Add Garmy Configuration +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": ["server", "--database", "/full/path/to/health.db", "--max-rows", "500"] + } + } +} +``` + +### 4. Restart Claude Desktop +- Completely quit Claude Desktop +- Restart the application +- Look for the ๐Ÿ”Œ (plug) icon indicating MCP connection + +## โš™๏ธ Configuration Options + +### Basic Configuration +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": ["server", "--database", "/Users/yourname/health.db"] + } + } +} +``` + +### Production Configuration (Restrictive) +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": [ + "server", + "--database", "/path/to/health.db", + "--max-rows", "100", + "--max-rows-absolute", "500" + ] + } + } +} +``` + +### Development Configuration (Verbose) +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": [ + "server", + "--database", "/path/to/health.db", + "--max-rows", "1000", + "--enable-query-logging", + "--verbose" + ] + } + } +} +``` + +### Using Environment Variables +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": ["server", "--max-rows", "500"], + "env": { + "GARMY_DB_PATH": "/full/path/to/health.db" + } + } + } +} +``` + +## ๐Ÿ’ฌ Example Conversations + +### Getting Started +**You:** "What health data do I have available?" + +**Claude:** *Uses `explore_database_structure()` to show available tables and data* + +### Sleep Analysis +**You:** "How has my sleep been over the last month?" + +**Claude:** *Uses `execute_sql_query()` to analyze sleep patterns* + +```sql +SELECT + metric_date, + sleep_duration_hours, + deep_sleep_percentage, + rem_sleep_percentage +FROM daily_health_metrics +WHERE user_id = 1 + AND metric_date >= date('now', '-30 days') + AND sleep_duration_hours IS NOT NULL +ORDER BY metric_date DESC +``` + +### Activity Analysis +**You:** "What are my most common workouts and their intensity?" + +**Claude:** *Analyzes activities table* + +```sql +SELECT + activity_name, + COUNT(*) as workout_count, + AVG(avg_heart_rate) as avg_heart_rate, + AVG(training_load) as avg_training_load +FROM activities +WHERE user_id = 1 + AND activity_date >= date('now', '-90 days') +GROUP BY activity_name +ORDER BY workout_count DESC +``` + +### Health Correlations +**You:** "Is there a relationship between my stress levels and sleep quality?" + +**Claude:** *Performs correlation analysis* + +```sql +SELECT + metric_date, + avg_stress_level, + sleep_duration_hours, + deep_sleep_percentage +FROM daily_health_metrics +WHERE user_id = 1 + AND avg_stress_level IS NOT NULL + AND sleep_duration_hours IS NOT NULL + AND metric_date >= date('now', '-60 days') +ORDER BY metric_date +``` + +### Quick Health Summary +**You:** "Give me a quick health summary for the last week" + +**Claude:** *Uses `get_health_summary(user_id=1, days=7)`* + +## ๐Ÿ” Available Tools for Claude + +When properly configured, Claude has access to these tools: + +### ๐Ÿ” Discovery Tools +- **`explore_database_structure()`** - See what health data is available +- **`get_table_details(table_name)`** - Understand table structure and sample data + +### ๐Ÿ“Š Analysis Tools +- **`execute_sql_query(query, params)`** - Run custom SQL queries for analysis +- **`get_health_summary(user_id, days)`** - Get quick health overview + +### ๐Ÿ“š Reference +- **`health_data_guide()`** - Complete guide to the health data structure + +## ๐ŸŽจ Best Practices + +### 1. Start with Exploration +``` +"What health data do I have available? Show me the database structure." +``` + +### 2. Ask for Specific Analysis +``` +"Analyze my sleep patterns over the last 30 days. Look for trends in sleep duration and quality." +``` + +### 3. Request Correlations +``` +"Is there a correlation between my step count and sleep quality?" +``` + +### 4. Get Actionable Insights +``` +"Based on my health data, what recommendations do you have for improving my recovery?" +``` + +### 5. Explore Different Time Periods +``` +"Compare my fitness metrics from this month versus last month." +``` + +## ๐Ÿ› ๏ธ Troubleshooting + +### Claude Shows No MCP Connection + +1. **Check Configuration File Location** + ```bash + # macOS + ls -la ~/Library/Application\ Support/Claude/claude_desktop_config.json + + # Linux + ls -la ~/.config/Claude/claude_desktop_config.json + ``` + +2. **Validate JSON Syntax** + ```bash + # Use jq to validate JSON + cat claude_desktop_config.json | jq . + ``` + +3. **Check Database Path** + ```bash + # Verify database exists and is readable + garmy-mcp info --database /full/path/to/health.db + ``` + +4. **Test MCP Server Manually** + ```bash + # Run the exact command from your config + garmy-mcp server --database /path/to/health.db --max-rows 500 + ``` + +### Claude Can't Access Health Data + +1. **Check MCP Server Logs** + ```bash + # Enable verbose logging + garmy-mcp server --database health.db --verbose --enable-query-logging + ``` + +2. **Verify Database Permissions** + ```bash + # Check file permissions + ls -la health.db + + # Ensure read access + chmod 644 health.db + ``` + +3. **Test Database Content** + ```bash + # Verify data exists + garmy-mcp info --database health.db + ``` + +### Performance Issues + +1. **Reduce Row Limits** + ```json + { + "args": ["server", "--database", "/path/to/health.db", "--max-rows", "100"] + } + ``` + +2. **Enable Query Logging to Monitor Performance** + ```json + { + "args": ["server", "--database", "/path/to/health.db", "--enable-query-logging"] + } + ``` + +## ๐Ÿ”ง Advanced Configuration + +### Multiple Health Databases +```json +{ + "mcpServers": { + "garmy-personal": { + "command": "garmy-mcp", + "args": ["server", "--database", "/path/to/personal_health.db"] + }, + "garmy-family": { + "command": "garmy-mcp", + "args": ["server", "--database", "/path/to/family_health.db"] + } + } +} +``` + +### Custom Security Settings +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": [ + "server", + "--database", "/path/to/health.db", + "--max-rows", "50", + "--max-rows-absolute", "200" + ] + } + } +} +``` + +## ๐Ÿ“Š Example Health Insights + +With proper setup, you can ask Claude questions like: + +- "What's my average sleep duration and how has it changed over time?" +- "Show me my most challenging workouts based on heart rate and training load" +- "Are there patterns in my stress levels throughout the week?" +- "How does my step count correlate with my sleep quality?" +- "What days do I have the best training readiness scores?" +- "Analyze my heart rate variability trends" +- "Compare my activity levels between weekdays and weekends" + +## ๐Ÿ”— Related Documentation + +- **[MCP Server Guide](mcp-server-guide.md)** - Complete MCP server documentation +- **[MCP Tools Reference](mcp-tools-reference.md)** - Detailed tool documentation +- **[Database Schema](database-schema.md)** - Understanding your health data +- **[LocalDB Guide](localdb-guide.md)** - Setting up data synchronization \ No newline at end of file diff --git a/docs/database-schema.md b/docs/database-schema.md new file mode 100644 index 0000000..a8e7c4a --- /dev/null +++ b/docs/database-schema.md @@ -0,0 +1,299 @@ +# Database Schema + +Complete reference for Garmy's LocalDB database schema and structure. + +## ๐ŸŽฏ Overview + +The Garmy LocalDB uses SQLite with optimized tables for health data storage: + +- **4 main tables** for different data types +- **Normalized structure** for efficient querying +- **Dedicated columns** for common health metrics +- **Sync tracking** for data integrity + +## ๐Ÿ“Š Schema Diagram + +``` +daily_health_metrics (Primary health data) +โ”œโ”€โ”€ user_id, metric_date (PK) +โ”œโ”€โ”€ Steps: total_steps, step_goal, total_distance_meters +โ”œโ”€โ”€ Sleep: sleep_duration_hours, deep_sleep_hours, rem_sleep_hours +โ”œโ”€โ”€ Heart Rate: resting_heart_rate, max_heart_rate, average_heart_rate +โ”œโ”€โ”€ Stress: avg_stress_level, max_stress_level +โ”œโ”€โ”€ Body Battery: body_battery_high, body_battery_low +โ”œโ”€โ”€ Training: training_readiness_score, training_readiness_level +โ””โ”€โ”€ HRV: hrv_weekly_avg, hrv_last_night_avg, hrv_status + +timeseries (High-frequency data) +โ”œโ”€โ”€ user_id, metric_type, timestamp (PK) +โ”œโ”€โ”€ value (Float) +โ””โ”€โ”€ meta_data (JSON) + +activities (Workouts and activities) +โ”œโ”€โ”€ user_id, activity_id (PK) +โ”œโ”€โ”€ activity_date, activity_name +โ”œโ”€โ”€ duration_seconds, avg_heart_rate +โ”œโ”€โ”€ training_load, start_time +โ””โ”€โ”€ created_at + +sync_status (Sync tracking) +โ”œโ”€โ”€ user_id, sync_date, metric_type (PK) +โ”œโ”€โ”€ status, synced_at +โ”œโ”€โ”€ error_message +โ””โ”€โ”€ created_at +``` + +## ๐Ÿ“‹ Table Details + +### `daily_health_metrics` +**Purpose:** Daily health summaries with normalized columns for efficient querying + +**Primary Key:** `(user_id, metric_date)` + +**Key Columns:** +```sql +-- Identity +user_id INTEGER -- User identifier +metric_date DATE -- Date of metrics + +-- Steps and Movement +total_steps INTEGER -- Daily step count +step_goal INTEGER -- Daily step goal +total_distance_meters FLOAT -- Distance in meters + +-- Calories +total_calories INTEGER -- Total calories burned +active_calories INTEGER -- Active calories +bmr_calories INTEGER -- Basal metabolic rate calories + +-- Heart Rate +resting_heart_rate INTEGER -- Morning resting HR +max_heart_rate INTEGER -- Maximum HR during day +min_heart_rate INTEGER -- Minimum HR during day +average_heart_rate INTEGER -- Average HR during day + +-- Stress and Recovery +avg_stress_level INTEGER -- Average stress (0-100) +max_stress_level INTEGER -- Maximum stress level +body_battery_high INTEGER -- Highest body battery +body_battery_low INTEGER -- Lowest body battery + +-- Sleep +sleep_duration_hours FLOAT -- Total sleep time +deep_sleep_hours FLOAT -- Deep sleep time +light_sleep_hours FLOAT -- Light sleep time +rem_sleep_hours FLOAT -- REM sleep time +awake_hours FLOAT -- Time awake +deep_sleep_percentage FLOAT -- % of sleep in deep +light_sleep_percentage FLOAT -- % of sleep in light +rem_sleep_percentage FLOAT -- % of sleep in REM +awake_percentage FLOAT -- % of time awake + +-- Respiration and SpO2 +average_spo2 FLOAT -- Average blood oxygen +average_respiration FLOAT -- Average respiration rate +avg_waking_respiration_value FLOAT +avg_sleep_respiration_value FLOAT +lowest_respiration_value FLOAT +highest_respiration_value FLOAT + +-- Training and HRV +training_readiness_score INTEGER -- Training readiness (0-100) +training_readiness_level TEXT -- Readiness level description +training_readiness_feedback TEXT -- Readiness feedback +hrv_weekly_avg FLOAT -- Weekly HRV average +hrv_last_night_avg FLOAT -- Last night HRV +hrv_status TEXT -- HRV status description + +-- Timestamps +created_at DATETIME -- Record creation time +updated_at DATETIME -- Last update time +``` + +### `timeseries` +**Purpose:** High-frequency data throughout the day (heart rate, stress, body battery) + +**Primary Key:** `(user_id, metric_type, timestamp)` + +**Columns:** +```sql +user_id INTEGER -- User identifier +metric_type STRING -- Type of metric (heart_rate, stress, body_battery) +timestamp INTEGER -- Unix timestamp in milliseconds +value FLOAT -- Metric value at timestamp +meta_data JSON -- Additional metadata (optional) +``` + +**Common Metric Types:** +- `heart_rate` - Heart rate readings +- `stress` - Stress level measurements +- `body_battery` - Body battery levels +- `respiration` - Respiration rate readings + +### `activities` +**Purpose:** Individual workouts and physical activities + +**Primary Key:** `(user_id, activity_id)` + +**Columns:** +```sql +user_id INTEGER -- User identifier +activity_id STRING -- Garmin activity ID +activity_date DATE -- Date of activity +activity_name STRING -- Activity type (e.g., "Running", "Cycling") +duration_seconds INTEGER -- Activity duration in seconds +avg_heart_rate INTEGER -- Average heart rate during activity +training_load FLOAT -- Training load/stress score +start_time STRING -- Activity start time +created_at DATETIME -- Record creation time +``` + +### `sync_status` +**Purpose:** Track synchronization status for each metric per date + +**Primary Key:** `(user_id, sync_date, metric_type)` + +**Columns:** +```sql +user_id INTEGER -- User identifier +sync_date DATE -- Date being synced +metric_type STRING -- Metric type being synced +status STRING -- Sync status (pending, completed, failed, skipped) +synced_at DATETIME -- When sync completed +error_message TEXT -- Error message if sync failed +created_at DATETIME -- Record creation time +``` + +**Status Values:** +- `pending` - Sync not yet attempted +- `completed` - Successfully synced +- `failed` - Sync failed with error +- `skipped` - No data available or already exists + +## ๐Ÿ” Common Queries + +### Daily Health Trends +```sql +SELECT + metric_date, + total_steps, + sleep_duration_hours, + resting_heart_rate, + avg_stress_level +FROM daily_health_metrics +WHERE user_id = 1 + AND metric_date >= date('now', '-30 days') +ORDER BY metric_date; +``` + +### Sleep Analysis +```sql +SELECT + metric_date, + sleep_duration_hours, + deep_sleep_percentage, + rem_sleep_percentage, + hrv_last_night_avg +FROM daily_health_metrics +WHERE user_id = 1 + AND sleep_duration_hours IS NOT NULL + AND metric_date >= date('now', '-7 days') +ORDER BY metric_date; +``` + +### Activity Performance +```sql +SELECT + activity_date, + activity_name, + duration_seconds / 60.0 as duration_minutes, + avg_heart_rate, + training_load +FROM activities +WHERE user_id = 1 + AND activity_date >= date('now', '-30 days') +ORDER BY activity_date DESC; +``` + +### Heart Rate Timeseries +```sql +SELECT + datetime(timestamp/1000, 'unixepoch') as time, + value as heart_rate +FROM timeseries +WHERE user_id = 1 + AND metric_type = 'heart_rate' + AND timestamp >= strftime('%s', date('now', '-1 day')) * 1000 +ORDER BY timestamp; +``` + +### Sync Status Check +```sql +SELECT + sync_date, + metric_type, + status, + synced_at, + error_message +FROM sync_status +WHERE user_id = 1 + AND status = 'failed' +ORDER BY sync_date DESC; +``` + +## ๐Ÿ“ˆ Data Relationships + +### User-Centric Design +All tables use `user_id` as the primary identifier, allowing multi-user support. + +### Date-Based Partitioning +- `daily_health_metrics`: Uses `metric_date` for daily aggregations +- `activities`: Uses `activity_date` for workout tracking +- `timeseries`: Uses `timestamp` for high-frequency data +- `sync_status`: Uses `sync_date` for sync tracking + +### Metric Type Enumeration +Supported metric types in `sync_status` and `timeseries`: +- `DAILY_SUMMARY` +- `SLEEP` +- `ACTIVITIES` +- `BODY_BATTERY` +- `STRESS` +- `HEART_RATE` +- `TRAINING_READINESS` +- `HRV` +- `RESPIRATION` +- `STEPS` +- `CALORIES` + +## ๐Ÿ”ง Performance Considerations + +### Indexes +The schema includes efficient indexes for: +- Primary key lookups +- Date range queries +- User-specific queries +- Metric type filtering + +### NULL Value Handling +Many health metrics can be NULL when: +- Data not available from Garmin +- Sensor not worn/active +- Sync incomplete + +Always use `IS NOT NULL` checks in analysis queries. + +### Data Types +- **INTEGER**: Used for whole numbers (steps, heart rate) +- **FLOAT**: Used for decimal values (sleep hours, HRV) +- **TEXT**: Used for descriptions and status +- **DATE**: Used for date-only fields +- **DATETIME**: Used for timestamps +- **JSON**: Used for flexible metadata storage + +## ๐Ÿ”— Related Documentation + +- **[LocalDB Guide](localdb-guide.md)** - Working with the database +- **[MCP Server Guide](mcp-server-guide.md)** - Querying via MCP +- **[Sync Operations](sync-operations.md)** - Data synchronization +- **[API Reference](api-reference.md)** - Programmatic access \ No newline at end of file diff --git a/docs/localdb-guide.md b/docs/localdb-guide.md new file mode 100644 index 0000000..c15abda --- /dev/null +++ b/docs/localdb-guide.md @@ -0,0 +1,306 @@ +# LocalDB Guide + +Complete guide to Garmy's local database functionality for health data storage and synchronization. + +## ๐ŸŽฏ Overview + +The LocalDB module provides local SQLite storage for synchronized Garmin health data, enabling: +- **Offline analysis** of health metrics +- **Historical data preservation** +- **Fast querying** with SQL +- **Data integrity** tracking + +## ๐Ÿš€ Quick Start + +### 1. Install LocalDB Dependencies +```bash +pip install garmy[localdb] +``` + +### 2. Sync Health Data +```bash +# Sync last 7 days +garmy-sync sync --last-days 7 + +# Sync specific date range +garmy-sync sync --date-range 2024-01-01 2024-01-31 + +# Sync specific metrics only +garmy-sync sync --metrics DAILY_SUMMARY,SLEEP,BODY_BATTERY + +# Check sync status +garmy-sync status + +# Reset failed sync records +garmy-sync reset --force +``` + +## ๐Ÿ“Š Database Schema + +### Main Tables + +#### `daily_health_metrics` +Normalized daily health data with dedicated columns for efficient querying. + +**Key Fields:** +- `user_id`, `metric_date` (Primary Key) +- `total_steps`, `sleep_duration_hours`, `resting_heart_rate` +- `avg_stress_level`, `body_battery_high/low` +- `training_readiness_score`, `hrv_weekly_avg` + +#### `timeseries` +High-frequency data (heart rate, stress, body battery readings). + +**Key Fields:** +- `user_id`, `metric_type`, `timestamp` (Primary Key) +- `value`, `meta_data` + +#### `activities` +Individual workouts and activities with performance metrics. + +**Key Fields:** +- `user_id`, `activity_id` (Primary Key) +- `activity_name`, `duration_seconds`, `avg_heart_rate` +- `training_load`, `activity_date` + +#### `sync_status` +Sync status tracking for each metric per date. + +**Key Fields:** +- `user_id`, `sync_date`, `metric_type` (Primary Key) +- `status`, `synced_at`, `error_message` + +## ๐Ÿ”ง Programmatic Usage + +### Basic Sync Operations + +```python +from garmy.localdb import SyncManager +from datetime import date, timedelta + +# Initialize sync manager +sync_manager = SyncManager(db_path="my_health.db") +sync_manager.initialize("email@garmin.com", "password") + +# Sync data +end_date = date.today() +start_date = end_date - timedelta(days=30) + +stats = sync_manager.sync_range( + user_id=1, + start_date=start_date, + end_date=end_date +) + +print(f"Synced: {stats['completed']} records") +``` + +### Querying Health Data + +```python +# Query health metrics +health_data = sync_manager.query_health_metrics( + user_id=1, + start_date=start_date, + end_date=end_date +) + +# Query activities +activities = sync_manager.query_activities( + user_id=1, + start_date=start_date, + end_date=end_date, + activity_name="Running" # Optional filter +) + +# Query timeseries data +from datetime import datetime +timeseries_data = sync_manager.query_timeseries( + user_id=1, + metric_type=MetricType.HEART_RATE, + start_time=datetime(2024, 1, 1, 0, 0), + end_time=datetime(2024, 1, 1, 23, 59) +) +``` + +### Direct Database Access + +```python +from garmy.localdb import HealthDB + +# Initialize database +db = HealthDB(db_path="health.db") + +# Get health metrics for analysis +with db.get_session() as session: + from garmy.localdb.models import DailyHealthMetric + + metrics = session.query(DailyHealthMetric).filter( + DailyHealthMetric.user_id == 1, + DailyHealthMetric.total_steps > 10000 + ).all() + + for metric in metrics: + print(f"{metric.metric_date}: {metric.total_steps} steps") +``` + +## โš™๏ธ Configuration + +### Sync Configuration + +```python +from garmy.localdb.config import LocalDBConfig, SyncConfig, DatabaseConfig + +# Custom configuration +config = LocalDBConfig( + sync=SyncConfig( + max_sync_days=365, # Maximum sync range + retry_failed=True, + batch_size=10 + ), + database=DatabaseConfig( + connection_timeout=30, + query_timeout=60 + ) +) + +sync_manager = SyncManager(db_path="health.db", config=config) +``` + +### Environment Variables + +```bash +# Database path for CLI tools +export GARMY_DB_PATH="/path/to/health.db" + +# API credentials (optional) +export GARMIN_EMAIL="your_email@garmin.com" +export GARMIN_PASSWORD="your_password" +``` + +## ๐Ÿ“ˆ Data Analysis Examples + +### Sleep Analysis +```python +# Get sleep trends +sleep_query = """ + SELECT + metric_date, + sleep_duration_hours, + deep_sleep_percentage, + rem_sleep_percentage + FROM daily_health_metrics + WHERE user_id = 1 + AND sleep_duration_hours IS NOT NULL + AND metric_date >= date('now', '-30 days') + ORDER BY metric_date +""" + +with db.get_session() as session: + results = session.execute(text(sleep_query)).fetchall() + + for row in results: + print(f"{row.metric_date}: {row.sleep_duration_hours:.1f}h sleep, " + f"{row.deep_sleep_percentage:.1f}% deep") +``` + +### Activity Performance +```python +# Analyze workout intensity +activity_query = """ + SELECT + activity_name, + AVG(avg_heart_rate) as avg_hr, + AVG(training_load) as avg_load, + COUNT(*) as workout_count + FROM activities + WHERE user_id = 1 + AND activity_date >= date('now', '-90 days') + GROUP BY activity_name + HAVING workout_count >= 3 + ORDER BY avg_load DESC +""" + +with db.get_session() as session: + results = session.execute(text(activity_query)).fetchall() + + for row in results: + print(f"{row.activity_name}: {row.avg_hr:.0f} BPM avg, " + f"{row.avg_load:.1f} training load ({row.workout_count} workouts)") +``` + +## ๐Ÿ”„ Advanced Sync Operations + +### Selective Metric Sync +```python +from garmy.localdb.models import MetricType + +# Sync only specific metrics +metrics_to_sync = [ + MetricType.DAILY_SUMMARY, + MetricType.SLEEP, + MetricType.TRAINING_READINESS +] + +stats = sync_manager.sync_range( + user_id=1, + start_date=start_date, + end_date=end_date, + metrics=metrics_to_sync +) +``` + +### Progress Monitoring +```python +from garmy.localdb.progress import ProgressReporter + +# Enable progress monitoring +progress = ProgressReporter(use_tqdm=True) +sync_manager = SyncManager( + db_path="health.db", + progress_reporter=progress +) + +# Sync with progress bar +stats = sync_manager.sync_range(user_id=1, start_date=start_date, end_date=end_date) +``` + +## ๐Ÿ› ๏ธ Troubleshooting + +### Common Issues + +1. **Database Lock Errors** + ```python + # Ensure proper session management + with db.get_session() as session: + # Your database operations here + pass # Session automatically closed + ``` + +2. **Sync Failures** + ```bash + # Reset failed sync records + garmy-sync reset --force + + # Check sync status + garmy-sync status + ``` + +3. **Large Dataset Performance** + ```python + # Use smaller date ranges for large syncs + from datetime import timedelta + + current_date = start_date + while current_date <= end_date: + chunk_end = min(current_date + timedelta(days=7), end_date) + sync_manager.sync_range(user_id=1, start_date=current_date, end_date=chunk_end) + current_date = chunk_end + timedelta(days=1) + ``` + +## ๐Ÿ”— Related Documentation + +- **[Database Schema](database-schema.md)** - Detailed schema documentation +- **[Sync Operations](sync-operations.md)** - Advanced sync patterns +- **[MCP Server Guide](mcp-server-guide.md)** - AI integration with local data +- **[API Reference](api-reference.md)** - Complete API documentation \ No newline at end of file diff --git a/docs/mcp-server-guide.md b/docs/mcp-server-guide.md new file mode 100644 index 0000000..e20b75d --- /dev/null +++ b/docs/mcp-server-guide.md @@ -0,0 +1,343 @@ +# MCP Server Guide + +Complete guide to Garmy's Model Context Protocol (MCP) server for AI assistant integration. + +## ๐ŸŽฏ Overview + +The Garmy MCP Server provides secure, read-only access to synchronized health data through the Model Context Protocol, enabling AI assistants like Claude to analyze health metrics safely. + +## ๐Ÿš€ Quick Start + +### 1. Install MCP Dependencies +```bash +pip install garmy[mcp] +``` + +### 2. Prepare Health Data +```bash +# Sync recent health data first +garmy-sync sync --last-days 30 +``` + +### 3. Start MCP Server +```bash +# Basic usage +garmy-mcp server --database health.db + +# With custom configuration +garmy-mcp server --database health.db --max-rows 500 --enable-query-logging +``` + +### 4. Claude Desktop Integration +Add to `~/.claude_desktop_config.json`: + +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": ["server", "--database", "/path/to/health.db", "--max-rows", "500"] + } + } +} +``` + +## ๐Ÿ“‹ Available Commands + +### `garmy-mcp server` +Start the MCP server with specified configuration. + +```bash +garmy-mcp server --database health.db [options] +``` + +**Configuration Options:** +- `--max-rows N`: Maximum rows per query (default: 1000, max: 5000) +- `--max-rows-absolute N`: Hard security limit (default: 5000, max: 10000) +- `--enable-query-logging`: Log SQL queries for debugging +- `--disable-strict-validation`: Relax SQL validation (not recommended) +- `--verbose`: Show detailed configuration and startup info + +### `garmy-mcp info` +Display database information and available tools. + +```bash +garmy-mcp info --database health.db +``` + +Shows: +- Database file size and accessibility +- Available tables with record counts +- MCP tools and their purposes +- Startup command suggestions + +### `garmy-mcp config` +Show configuration examples for different use cases. + +```bash +garmy-mcp config +``` + +## ๐Ÿ› ๏ธ Available MCP Tools + +### ๐Ÿ” Database Discovery + +#### `explore_database_structure()` +**When to use:** Starting point for any health data analysis + +Your first tool for understanding what health data is available. Always use this before running specific queries. + +**Returns:** +- Available tables with descriptions and row counts +- Supported metric types +- Usage guidance + +#### `get_table_details(table_name)` +**When to use:** When you need to understand the structure of a specific table + +Use after `explore_database_structure` to see column details and sample data. + +**Example:** +```python +get_table_details("daily_health_metrics") +``` + +### ๐Ÿ“Š Data Analysis + +#### `execute_sql_query(query, params)` +**When to use:** For specific data analysis using SQL queries + +Main tool for querying any data from the database. Use it to analyze health metrics, activities, sync status, or find patterns across any tables. + +**Security Features:** +- Only `SELECT` and `WITH` statements allowed +- Automatic row limiting (configurable) +- SQL injection prevention through parameterization +- Comprehensive validation + +**Example Queries:** +```sql +-- Health metrics: Recent sleep trends +SELECT metric_date, sleep_duration_hours, deep_sleep_hours +FROM daily_health_metrics +WHERE user_id = 1 +ORDER BY metric_date DESC LIMIT 30 + +-- Activities: Workout analysis +SELECT activity_date, activity_name, duration_seconds/60 as minutes +FROM activities +WHERE user_id = 1 + +-- Timeseries: Heart rate data +SELECT timestamp, value +FROM timeseries +WHERE metric_type = 'heart_rate' AND user_id = 1 +``` + +#### `get_health_summary(user_id, days)` +**When to use:** For quick health overview without writing SQL + +Ready-made summary of key health metrics over a specified period. + +**Example:** +```python +get_health_summary(user_id=1, days=30) +``` + +### ๐Ÿ“š Documentation Resource + +#### `health_data_guide()` +Complete guide to understanding and querying Garmin health data, including: +- Quick start workflow for new users +- Table descriptions with common query examples +- Available health metrics and their meanings +- Analysis tips and best practices + +## โš™๏ธ Configuration Examples + +### Production Configuration (Restrictive) +```bash +garmy-mcp server --database health.db \ + --max-rows 100 \ + --max-rows-absolute 500 +``` + +### Development Configuration (Permissive with Logging) +```bash +garmy-mcp server --database health.db \ + --max-rows 2000 \ + --enable-query-logging \ + --verbose +``` + +### Debug Configuration (Relaxed Validation) +```bash +garmy-mcp server --database health.db \ + --disable-strict-validation \ + --enable-query-logging \ + --verbose +``` + +## ๐Ÿ” Security Features + +### Query Validation +1. **Statement Type Validation**: Only `SELECT` and `WITH` allowed +2. **Keyword Filtering**: Blocks modification keywords (`INSERT`, `UPDATE`, etc.) +3. **Multi-Statement Prevention**: Prevents SQL injection via statement chaining +4. **Parameter Binding**: All user inputs are properly parameterized +5. **Row Limiting**: Automatic limits prevent excessive resource usage + +### Database Access +- **Read-Only Connection**: Database opened in read-only mode +- **Input Sanitization**: Table names validated with regex patterns +- **Error Handling**: Comprehensive error catching and sanitization +- **Resource Management**: Automatic connection cleanup + +## ๐Ÿ“Š Health Data Analysis Examples + +### Sleep Analysis +```sql +-- Get sleep trends over the last month +SELECT + metric_date, + sleep_duration_hours, + deep_sleep_percentage, + rem_sleep_percentage +FROM daily_health_metrics +WHERE user_id = 1 + AND metric_date >= date('now', '-30 days') + AND sleep_duration_hours IS NOT NULL +ORDER BY metric_date; +``` + +### Activity Performance +```sql +-- Analyze workout intensity and heart rate +SELECT + activity_date, + activity_name, + duration_seconds / 60.0 as duration_minutes, + avg_heart_rate, + training_load +FROM activities +WHERE user_id = 1 + AND activity_date >= date('now', '-7 days') +ORDER BY activity_date DESC; +``` + +### Stress and Recovery Correlation +```sql +-- Correlate stress levels with sleep quality +SELECT + metric_date, + avg_stress_level, + sleep_duration_hours, + body_battery_high - body_battery_low as battery_drain, + training_readiness_score +FROM daily_health_metrics +WHERE user_id = 1 + AND metric_date >= date('now', '-14 days') + AND avg_stress_level IS NOT NULL +ORDER BY metric_date; +``` + +### Heart Rate Variability Trends +```sql +-- Track HRV patterns over time +SELECT + metric_date, + hrv_weekly_avg, + hrv_last_night_avg, + hrv_status, + resting_heart_rate +FROM daily_health_metrics +WHERE user_id = 1 + AND hrv_weekly_avg IS NOT NULL + AND metric_date >= date('now', '-60 days') +ORDER BY metric_date; +``` + +## ๐Ÿ”ง Advanced Configuration + +### Custom Configuration Class +```python +from garmy.mcp import MCPConfig, create_mcp_server +from pathlib import Path + +# Create custom configuration +config = MCPConfig( + db_path=Path("health.db"), + max_rows=500, + max_rows_absolute=2000, + enable_query_logging=True, + strict_validation=True +) + +# Create server with custom config +mcp_server = create_mcp_server(config) +``` + +### Environment Variables +```bash +# Alternative to --database argument +export GARMY_DB_PATH="/path/to/health.db" +garmy-mcp server --max-rows 500 +``` + +### Query Logging +When `--enable-query-logging` is enabled, you'll see detailed logs: + +``` +2024-06-30 12:00:00 - garmy.mcp.database - INFO - Executing query: SELECT * FROM daily_health_metrics LIMIT 1000 +2024-06-30 12:00:00 - garmy.mcp.database - INFO - Parameters: [1] +2024-06-30 12:00:00 - garmy.mcp.database - INFO - Query returned 245 rows +``` + +## ๐Ÿ› ๏ธ Troubleshooting + +### Common Issues + +1. **FastMCP Not Installed** + ```bash + pip install garmy[mcp] + # or + pip install fastmcp + ``` + +2. **Database Not Found** + ```bash + # Ensure database path is correct + garmy-mcp info --database health.db + + # Or set environment variable + export GARMY_DB_PATH="/full/path/to/health.db" + ``` + +3. **Permission Denied** + ```bash + # Check database file permissions + ls -la health.db + chmod 644 health.db # If needed + ``` + +4. **Query Validation Errors** + ```bash + # Use debug mode to see detailed errors + garmy-mcp server --database health.db --verbose --enable-query-logging + ``` + +### Debug Mode +```bash +# Enable maximum verbosity for troubleshooting +garmy-mcp server --database health.db \ + --verbose \ + --enable-query-logging \ + --disable-strict-validation +``` + +## ๐Ÿ”— Related Documentation + +- **[Claude Desktop Integration](claude-desktop-integration.md)** - Detailed Claude setup +- **[MCP Tools Reference](mcp-tools-reference.md)** - Complete tool documentation +- **[Database Schema](database-schema.md)** - Understanding the data structure +- **[LocalDB Guide](localdb-guide.md)** - Setting up local data storage \ No newline at end of file diff --git a/docs/quick-start.md b/docs/quick-start.md new file mode 100644 index 0000000..17d3da9 --- /dev/null +++ b/docs/quick-start.md @@ -0,0 +1,142 @@ +# Quick Start Guide + +Get up and running with Garmy in just a few minutes. + +## ๐Ÿš€ Installation + +### Basic Installation +```bash +pip install garmy +``` + +### With Optional Features +```bash +# For local database functionality +pip install garmy[localdb] + +# For MCP server functionality +pip install garmy[mcp] + +# For everything +pip install garmy[all] +``` + +### Development Installation +```bash +git clone https://github.com/bes-dev/garmy.git +cd garmy +pip install -e ".[dev]" +``` + +## ๐ŸŽฏ Basic Usage + +### 1. Simple API Access + +```python +from garmy import AuthClient, APIClient + +# Create clients +auth_client = AuthClient() +api_client = APIClient(auth_client=auth_client) + +# Login +auth_client.login("your_email@garmin.com", "your_password") + +# Get today's training readiness +readiness = api_client.metrics.get('training_readiness').get() +print(f"Training Readiness Score: {readiness[0].score}/100") + +# Get sleep data +sleep_data = api_client.metrics.get('sleep').get('2023-12-01') +print(f"Sleep Score: {sleep_data[0].overall_sleep_score}") +``` + +### 2. Local Database Storage + +```bash +# Sync recent health data +garmy-sync sync --last-days 7 + +# Check sync status +garmy-sync status +``` + +```python +from garmy.localdb import SyncManager +from datetime import date, timedelta + +# Initialize sync manager +sync_manager = SyncManager(db_path="my_health.db") +sync_manager.initialize("email@garmin.com", "password") + +# Sync data +end_date = date.today() +start_date = end_date - timedelta(days=7) +stats = sync_manager.sync_range(user_id=1, start_date=start_date, end_date=end_date) + +print(f"Synced: {stats['completed']} records") +``` + +### 3. AI Assistant Integration + +```bash +# Start MCP server for AI assistants +garmy-mcp server --database health.db + +# Get database info +garmy-mcp info --database health.db + +# Show configuration examples +garmy-mcp config +``` + +## ๐Ÿ”ง Configuration + +### Environment Variables +```bash +# For MCP server +export GARMY_DB_PATH="/path/to/health.db" + +# For API access (optional) +export GARMIN_EMAIL="your_email@garmin.com" +export GARMIN_PASSWORD="your_password" +``` + +### Claude Desktop Integration +Add to `~/.claude_desktop_config.json`: + +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "garmy-mcp", + "args": ["server", "--database", "/path/to/health.db", "--max-rows", "500"] + } + } +} +``` + +## ๐Ÿ“Š Available Health Metrics + +| Metric | Description | Example Usage | +|--------|-------------|---------------| +| `sleep` | Sleep tracking data | `api_client.metrics.get('sleep').get()` | +| `heart_rate` | Heart rate statistics | `api_client.metrics.get('heart_rate').get()` | +| `stress` | Stress measurements | `api_client.metrics.get('stress').get()` | +| `steps` | Daily step counts | `api_client.metrics.get('steps').list(days=7)` | +| `training_readiness` | Training readiness | `api_client.metrics.get('training_readiness').get()` | +| `body_battery` | Body battery levels | `api_client.metrics.get('body_battery').get()` | +| `activities` | Workouts and activities | `api_client.metrics.get('activities').list(days=30)` | + +## ๐Ÿ”— Next Steps + +- **[LocalDB Guide](localdb-guide.md)** - Learn about local data storage +- **[MCP Server Guide](mcp-server-guide.md)** - Set up AI assistant integration +- **[API Reference](api-reference.md)** - Explore all available methods +- **[Examples](examples/basic-usage.md)** - See more usage patterns + +## ๐Ÿ†˜ Getting Help + +- **[GitHub Issues](https://github.com/bes-dev/garmy/issues)** - Report bugs or request features +- **[Documentation](README.md)** - Complete documentation index +- **[Contributing](contributing.md)** - Help improve Garmy \ No newline at end of file diff --git a/examples/README.md b/examples/README.md index 281651c..7bf52cd 100644 --- a/examples/README.md +++ b/examples/README.md @@ -346,7 +346,9 @@ async def get_multiple_metrics(): ### Getting Help -- Check the main documentation +- Check the [main documentation](../docs/README.md) +- Review [Quick Start Guide](../docs/quick-start.md) for setup help +- See [API Reference](../docs/api-reference.md) for detailed usage - Review error messages for specific guidance - Ensure your device supports the requested metric type diff --git a/examples/mcp_server_example.py b/examples/mcp_server_example.py new file mode 100644 index 0000000..88bf6b9 --- /dev/null +++ b/examples/mcp_server_example.py @@ -0,0 +1,87 @@ +#!/usr/bin/env python3 +"""Example usage of the Garmin LocalDB MCP Server. + +This example demonstrates how to programmatically create and configure +the MCP server with custom settings. +""" + +import os +from pathlib import Path + +try: + from garmy.mcp import MCPConfig, create_mcp_server +except ImportError: + print("FastMCP not installed. Install with: pip install garmy[mcp]") + exit(1) + + +def main(): + """Demonstrate MCP server configuration and creation.""" + + # Example 1: Create config from database path + db_path = Path("health.db") + + # Check if database exists (for demo purposes) + if not db_path.exists(): + print(f"Database {db_path} not found. Please run garmy-sync first to create health data.") + print("Example: garmy-sync sync --last-days 7") + return + + # Create custom configuration + config = MCPConfig.from_db_path( + db_path=db_path, + max_rows=500, # Limit to 500 rows per query + enable_query_logging=True, # Enable query logging for debugging + strict_validation=True # Enable strict SQL validation + ) + + print("MCP Server Configuration:") + print(f" Database: {config.db_path}") + print(f" Max rows per query: {config.max_rows}") + print(f" Query logging: {config.enable_query_logging}") + print(f" Strict validation: {config.strict_validation}") + + # Validate configuration + try: + config.validate() + print("โœ… Configuration is valid") + except Exception as e: + print(f"โŒ Configuration error: {e}") + return + + # Create MCP server with custom config + print("\\nCreating MCP server...") + mcp_server = create_mcp_server(config) + + print(f"โœ… MCP server created: {mcp_server.name}") + print("\\nAvailable tools:") + print(" ๐Ÿ“Š explore_database_structure() - Start here to see available data") + print(" ๐Ÿ” get_table_details(table_name) - Get table structure and samples") + print(" ๐Ÿ“ˆ execute_sql_query(query, params) - Run custom SQL queries on any table") + print(" ๐Ÿ“‹ get_health_summary(user_id, days) - Quick health overview") + print("\\nAvailable resources:") + print(" ๐Ÿ“š health_data_guide() - Complete usage guide") + + print("\\n๐Ÿš€ To start the server, run:") + print(f" garmy-mcp server --database {db_path}") + print("\\n๐Ÿ“‹ With custom configuration:") + print(f" garmy-mcp server --database {db_path} --max-rows 500 --enable-query-logging") + print("\\n๐Ÿ”ง Or use environment variable:") + print(f" export GARMY_DB_PATH={db_path}") + print(" garmy-mcp server --max-rows 200 --verbose") + print("\\n๐Ÿ“Š Get database information:") + print(f" garmy-mcp info --database {db_path}") + print("\\n๐Ÿ“‹ Show configuration examples:") + print(" garmy-mcp config") + + # Example 2: Environment-based configuration (backwards compatibility) + print("\\n" + "="*50) + print("Environment-based configuration example:") + + os.environ['GARMY_DB_PATH'] = str(db_path) + env_server = create_mcp_server() # Uses environment variable + print(f"โœ… Environment-based server created: {env_server.name}") + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 6924f1a..4cda6cf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,7 +27,11 @@ keywords = [ "modular", "garth", "ai-integration", - "type-safe" + "type-safe", + "mcp", + "model-context-protocol", + "localdb", + "sqlite" ] classifiers = [ "Development Status :: 4 - Beta", @@ -50,12 +54,22 @@ dependencies = [ "requests>=2.28.0", "requests-oauthlib>=1.3.0", "aiohttp>=3.8.0", - "aiofiles>=22.0.0", - "sqlalchemy>=1.4.0", - "tqdm>=4.0.0" + "aiofiles>=22.0.0" ] [project.optional-dependencies] +mcp = [ + "fastmcp>=0.4.0" +] +localdb = [ + "sqlalchemy>=1.4.0", + "tqdm>=4.0.0" +] +all = [ + "fastmcp>=0.4.0", + "sqlalchemy>=1.4.0", + "tqdm>=4.0.0" +] dev = [ "pytest>=7.0.0", "pytest-cov>=4.0.0", @@ -86,13 +100,14 @@ examples = [ [project.urls] Homepage = "https://github.com/bes-dev/garmy" -Documentation = "https://github.com/bes-dev/garmy/blob/master/README.md" +Documentation = "https://github.com/bes-dev/garmy/blob/master/docs/" Repository = "https://github.com/bes-dev/garmy.git" "Bug Tracker" = "https://github.com/bes-dev/garmy/issues" Changelog = "https://github.com/bes-dev/garmy/blob/master/CHANGELOG.md" [project.scripts] garmy-sync = "garmy.localdb.cli:main" +garmy-mcp = "garmy.mcp.cli:main" [tool.setuptools] diff --git a/src/garmy/mcp/__init__.py b/src/garmy/mcp/__init__.py index e69de29..07946ca 100644 --- a/src/garmy/mcp/__init__.py +++ b/src/garmy/mcp/__init__.py @@ -0,0 +1,13 @@ +"""MCP server for Garmin LocalDB database access. + +Provides secure, read-only access to synchronized health data through +the Model Context Protocol, enabling AI assistants to query health metrics. +""" + +try: + from .config import MCPConfig + from .server import create_mcp_server + __all__ = ["MCPConfig", "create_mcp_server"] +except ImportError: + # FastMCP not installed + __all__ = [] \ No newline at end of file diff --git a/src/garmy/mcp/__main__.py b/src/garmy/mcp/__main__.py new file mode 100644 index 0000000..3ccc60f --- /dev/null +++ b/src/garmy/mcp/__main__.py @@ -0,0 +1,6 @@ +"""Main entry point for Garmin LocalDB MCP server module.""" + +from .cli import main + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/garmy/mcp/cli.py b/src/garmy/mcp/cli.py new file mode 100644 index 0000000..ddca701 --- /dev/null +++ b/src/garmy/mcp/cli.py @@ -0,0 +1,312 @@ +#!/usr/bin/env python3 +"""Command-line interface for Garmin LocalDB MCP Server.""" + +import argparse +import os +import sys +from pathlib import Path +from typing import Optional + +from .config import MCPConfig + +try: + from .server import create_mcp_server +except ImportError: + def create_mcp_server(*args, **kwargs): + raise ImportError( + "FastMCP is required for MCP server functionality. " + "Install with: pip install garmy[mcp] or pip install fastmcp" + ) + + +def validate_database_path(db_path: str) -> Path: + """Validate database path exists and is accessible. + + Args: + db_path: Path to SQLite database file + + Returns: + Validated Path object + + Raises: + FileNotFoundError: If database file doesn't exist + PermissionError: If database file is not readable + """ + path = Path(db_path).resolve() + + if not path.exists(): + raise FileNotFoundError(f"Database file not found: {path}") + + if not path.is_file(): + raise ValueError(f"Path is not a file: {path}") + + if not os.access(path, os.R_OK): + raise PermissionError(f"Database file is not readable: {path}") + + return path + + +def cmd_server(args): + """Start MCP server with specified configuration.""" + # Determine database path + db_path_str = args.database or os.environ.get('GARMY_DB_PATH') + + if not db_path_str: + print("Error: Database path must be provided via --database argument or GARMY_DB_PATH environment variable", file=sys.stderr) + sys.exit(1) + + try: + # Validate database path + db_path = validate_database_path(db_path_str) + + # Validate configuration parameters + if args.max_rows > args.max_rows_absolute: + print(f"Error: --max-rows ({args.max_rows}) cannot exceed --max-rows-absolute ({args.max_rows_absolute})", file=sys.stderr) + sys.exit(1) + + if args.max_rows <= 0: + print("Error: --max-rows must be positive", file=sys.stderr) + sys.exit(1) + + if args.max_rows_absolute > 10000: + print("Error: --max-rows-absolute cannot exceed 10000 for security reasons", file=sys.stderr) + sys.exit(1) + + # Create config with CLI parameters + config = MCPConfig( + db_path=db_path, + max_rows=args.max_rows, + max_rows_absolute=args.max_rows_absolute, + enable_query_logging=args.enable_query_logging, + strict_validation=not args.disable_strict_validation + ) + + if args.verbose: + print(f"Starting Garmin LocalDB MCP Server...") + print(f"Database: {db_path}") + print(f"Configuration:") + print(f" - Read-only access: enabled") + print(f" - Max rows per query: {config.max_rows}") + print(f" - Max rows absolute limit: {config.max_rows_absolute}") + print(f" - Query logging: {config.enable_query_logging}") + print(f" - Strict validation: {config.strict_validation}") + print(f"Available tools: explore_database_structure, get_table_details, execute_sql_query, get_health_summary") + + # Create and run server with explicit config + mcp_server = create_mcp_server(config) + mcp_server.run() + + except (FileNotFoundError, PermissionError, ValueError) as e: + print(f"Error: {e}", file=sys.stderr) + sys.exit(1) + except KeyboardInterrupt: + print("\\nServer stopped by user") + sys.exit(0) + except Exception as e: + print(f"Failed to start MCP server: {e}", file=sys.stderr) + sys.exit(1) + + +def cmd_info(args): + """Show information about the database and MCP server configuration.""" + # Determine database path + db_path_str = args.database or os.environ.get('GARMY_DB_PATH') + + if not db_path_str: + print("Error: Database path must be provided via --database argument or GARMY_DB_PATH environment variable", file=sys.stderr) + sys.exit(1) + + try: + db_path = validate_database_path(db_path_str) + + # Get database info + file_size = db_path.stat().st_size + file_size_mb = file_size / (1024 * 1024) + + print("Garmin LocalDB MCP Server Information") + print("=" * 40) + print(f"Database file: {db_path}") + print(f"File size: {file_size_mb:.2f} MB") + print(f"Read access: {'โœ… Available' if os.access(db_path, os.R_OK) else 'โŒ Denied'}") + + # Try to get table info + try: + from .server import DatabaseManager + config = MCPConfig.from_db_path(db_path) + db_manager = DatabaseManager(config) + + # Get table information + tables_query = "SELECT name FROM sqlite_master WHERE type='table' ORDER BY name" + tables = db_manager.execute_safe_query(tables_query) + + print(f"\\nAvailable tables: {len(tables)}") + for table in tables: + table_name = table['name'] + count_query = f"SELECT COUNT(*) as count FROM {table_name}" + count_result = db_manager.execute_safe_query(count_query) + row_count = count_result[0]['count'] if count_result else 0 + print(f" - {table_name}: {row_count:,} records") + + except Exception as e: + print(f"\\nWarning: Could not analyze database structure: {e}") + + print("\\nMCP Server Tools:") + print(" - explore_database_structure() - Discover available data") + print(" - get_table_details(name) - Get table schema and samples") + print(" - execute_sql_query(sql, params) - Run SQL queries safely") + print(" - get_health_summary(user_id, days) - Quick health overview") + + print("\\nTo start MCP server:") + print(f" garmy-mcp server --database {db_path}") + + except Exception as e: + print(f"Error: {e}", file=sys.stderr) + sys.exit(1) + + +def cmd_config(args): + """Show example configurations for different use cases.""" + print("Garmin LocalDB MCP Server - Configuration Examples") + print("=" * 50) + + print("\\n๐Ÿ“‹ Basic Usage:") + print(" garmy-mcp server --database health.db") + + print("\\n๐Ÿญ Production Configuration (restrictive):") + print(" garmy-mcp server --database health.db \\\\") + print(" --max-rows 100 \\\\") + print(" --max-rows-absolute 500") + + print("\\n๐Ÿ”ง Development Configuration (permissive with logging):") + print(" garmy-mcp server --database health.db \\\\") + print(" --max-rows 2000 \\\\") + print(" --enable-query-logging \\\\") + print(" --verbose") + + print("\\n๐Ÿ› Debug Configuration (relaxed validation):") + print(" garmy-mcp server --database health.db \\\\") + print(" --disable-strict-validation \\\\") + print(" --enable-query-logging \\\\") + print(" --verbose") + + print("\\n๐Ÿค– Claude Desktop Integration:") + print(' {') + print(' "mcpServers": {') + print(' "garmy-localdb": {') + print(' "command": "garmy-mcp",') + print(' "args": ["server", "--database", "/path/to/health.db", "--max-rows", "500"]') + print(' }') + print(' }') + print(' }') + + print("\\n๐Ÿ” Security Settings:") + print(" --max-rows: Limit rows per query (default: 1000, max: 5000)") + print(" --max-rows-absolute: Hard security limit (default: 5000, max: 10000)") + print(" --enable-query-logging: Log all SQL queries for debugging") + print(" --disable-strict-validation: Allow relaxed SQL validation (not recommended)") + + +def create_parser(): + """Create argument parser with subcommands.""" + parser = argparse.ArgumentParser( + prog="garmy-mcp", + description="Garmin LocalDB MCP Server - Secure read-only access to health data", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + garmy-mcp server --database health.db + garmy-mcp info --database health.db + garmy-mcp config + +Use 'garmy-mcp --help' for command-specific help. + """ + ) + + # Subcommands + subparsers = parser.add_subparsers(dest='command', help='Available commands') + subparsers.required = True + + # Server command + server_parser = subparsers.add_parser( + 'server', + help='Start MCP server', + description='Start the MCP server with specified configuration' + ) + + server_parser.add_argument( + '--database', '-d', + type=str, + help="Path to Garmin LocalDB SQLite database file" + ) + + server_parser.add_argument( + '--max-rows', + type=int, + default=1000, + help="Maximum number of rows per query (default: 1000, max: 5000)" + ) + + server_parser.add_argument( + '--max-rows-absolute', + type=int, + default=5000, + help="Absolute maximum rows limit for security (default: 5000, max: 10000)" + ) + + server_parser.add_argument( + '--enable-query-logging', + action='store_true', + help="Enable SQL query logging for debugging" + ) + + server_parser.add_argument( + '--disable-strict-validation', + action='store_true', + help="Disable strict SQL validation (not recommended)" + ) + + server_parser.add_argument( + '--verbose', '-v', + action='store_true', + help="Enable verbose logging and configuration display" + ) + + server_parser.set_defaults(func=cmd_server) + + # Info command + info_parser = subparsers.add_parser( + 'info', + help='Show database and server information', + description='Display information about the database and available MCP tools' + ) + + info_parser.add_argument( + '--database', '-d', + type=str, + help="Path to Garmin LocalDB SQLite database file" + ) + + info_parser.set_defaults(func=cmd_info) + + # Config command + config_parser = subparsers.add_parser( + 'config', + help='Show configuration examples', + description='Display example configurations for different use cases' + ) + config_parser.set_defaults(func=cmd_config) + + return parser + + +def main(): + """Main entry point for garmy-mcp CLI.""" + parser = create_parser() + args = parser.parse_args() + + # Execute the selected command + args.func(args) + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/src/garmy/mcp/config.py b/src/garmy/mcp/config.py new file mode 100644 index 0000000..23462c6 --- /dev/null +++ b/src/garmy/mcp/config.py @@ -0,0 +1,40 @@ +"""Configuration management for Garmin LocalDB MCP Server.""" + +from pathlib import Path +from typing import Optional +from dataclasses import dataclass + + +@dataclass +class MCPConfig: + """Configuration for MCP server behavior and security settings.""" + + # Database settings + db_path: Path + + # Query execution limits + max_rows: int = 1000 + max_rows_absolute: int = 5000 + + # Security settings + enable_query_logging: bool = False + strict_validation: bool = True + + @classmethod + def from_db_path(cls, db_path: Path, **kwargs) -> "MCPConfig": + """Create config with database path and optional overrides.""" + return cls(db_path=db_path, **kwargs) + + def validate(self) -> None: + """Validate configuration settings.""" + if not self.db_path.exists(): + raise FileNotFoundError(f"Database file not found: {self.db_path}") + + if not self.db_path.is_file(): + raise ValueError(f"Path is not a file: {self.db_path}") + + if self.max_rows > self.max_rows_absolute: + raise ValueError(f"max_rows cannot exceed {self.max_rows_absolute}") + + if self.max_rows <= 0: + raise ValueError("max_rows must be positive") \ No newline at end of file diff --git a/src/garmy/mcp/server.py b/src/garmy/mcp/server.py new file mode 100644 index 0000000..394585a --- /dev/null +++ b/src/garmy/mcp/server.py @@ -0,0 +1,478 @@ +"""Garmin LocalDB MCP Server implementation. + +Provides secure, read-only access to synchronized Garmin health data +through the Model Context Protocol with optimized tools for LLM understanding. +""" + +import os +import re +import sqlite3 +import logging +from pathlib import Path +from typing import Any, Dict, List, Optional + +try: + from fastmcp import FastMCP +except ImportError: + raise ImportError( + "FastMCP is required for MCP server functionality. " + "Install with: pip install garmy[mcp] or pip install fastmcp" + ) + +from .config import MCPConfig +from ..localdb.models import MetricType + + +class SQLiteConnection: + """Secure SQLite connection context manager for read-only access.""" + + def __init__(self, db_path: Path): + self.db_path = db_path + self.conn = None + + def __enter__(self): + """Open read-only SQLite connection.""" + self.conn = sqlite3.connect(f"file:{self.db_path}?mode=ro", uri=True) + self.conn.row_factory = sqlite3.Row + return self.conn + + def __exit__(self, exc_type, exc_val, exc_tb): + """Close connection safely.""" + if self.conn: + self.conn.close() + + +class QueryValidator: + """SQL query validation and sanitization for read-only access.""" + + ALLOWED_STATEMENTS = ('select', 'with') + FORBIDDEN_KEYWORDS = { + 'insert', 'update', 'delete', 'drop', 'create', 'alter', + 'pragma', 'attach', 'detach', 'vacuum', 'analyze' + } + + @classmethod + def validate_query(cls, query: str) -> None: + """Validate SQL query for read-only access. + + Args: + query: SQL query to validate + + Raises: + ValueError: If query is not safe for read-only access + """ + if not query or not query.strip(): + raise ValueError("Query cannot be empty") + + query_lower = query.lower().strip() + + # Check if query starts with allowed statement + if not any(query_lower.startswith(prefix) for prefix in cls.ALLOWED_STATEMENTS): + allowed = ', '.join(cls.ALLOWED_STATEMENTS).upper() + raise ValueError(f"Only {allowed} queries are allowed for security") + + # Check for forbidden keywords + query_words = set(re.findall(r'\\b\\w+\\b', query_lower)) + forbidden_found = query_words.intersection(cls.FORBIDDEN_KEYWORDS) + if forbidden_found: + raise ValueError(f"Forbidden keywords found: {', '.join(forbidden_found)}") + + # Check for multiple statements + if cls._contains_multiple_statements(query): + raise ValueError("Multiple statements not allowed") + + @staticmethod + def _contains_multiple_statements(sql: str) -> bool: + """Check if SQL contains multiple statements.""" + in_single_quote = False + in_double_quote = False + + for char in sql: + if char == "'" and not in_double_quote: + in_single_quote = not in_single_quote + elif char == '"' and not in_single_quote: + in_double_quote = not in_double_quote + elif char == ';' and not in_single_quote and not in_double_quote: + return True + + return False + + @staticmethod + def add_row_limit(query: str, limit: int = 1000) -> str: + """Add LIMIT clause if not present.""" + query_lower = query.lower() + if 'limit' not in query_lower: + return f"{query.rstrip(';')} LIMIT {limit}" + return query + + +class DatabaseManager: + """Manages database connections and basic operations.""" + + def __init__(self, config: MCPConfig): + self.config = config + self.validator = QueryValidator() + self.logger = logging.getLogger("garmy.mcp.database") + + # Configure logging if enabled + if config.enable_query_logging and not self.logger.handlers: + handler = logging.StreamHandler() + handler.setFormatter(logging.Formatter( + '%(asctime)s - %(name)s - %(levelname)s - %(message)s' + )) + self.logger.addHandler(handler) + self.logger.setLevel(logging.INFO) + + def get_connection(self): + """Get read-only database connection.""" + return SQLiteConnection(self.config.db_path) + + def execute_safe_query(self, query: str, params: Optional[List[Any]] = None) -> List[Dict[str, Any]]: + """Execute validated query with safety checks.""" + # Validate query + if self.config.strict_validation: + self.validator.validate_query(query) + + # Add row limit + original_query = query + query = self.validator.add_row_limit(query, self.config.max_rows) + + # Log query if enabled + if self.config.enable_query_logging: + self.logger.info(f"Executing query: {query}") + if params: + self.logger.info(f"Parameters: {params}") + + try: + with self.get_connection() as conn: + cursor = conn.cursor() + cursor.execute(query, params or []) + results = [dict(row) for row in cursor.fetchall()] + + if self.config.enable_query_logging: + self.logger.info(f"Query returned {len(results)} rows") + + return results + except sqlite3.Error as e: + if self.config.enable_query_logging: + self.logger.error(f"Query failed: {str(e)}") + raise ValueError(f"Database error: {str(e)}") + + +# Initialize MCP server +def create_mcp_server(config: Optional[MCPConfig] = None) -> FastMCP: + """Create and configure the Garmin LocalDB MCP server. + + Args: + config: Optional MCP configuration. If None, loads from environment. + """ + if config is None: + # Fallback to environment variable for backwards compatibility + if 'GARMY_DB_PATH' not in os.environ: + raise ValueError("GARMY_DB_PATH environment variable must be set") + + db_path = Path(os.environ['GARMY_DB_PATH']) + config = MCPConfig.from_db_path(db_path) + + # Validate configuration + config.validate() + + # Initialize components + db_manager = DatabaseManager(config) + + # Initialize MCP server with clear, LLM-friendly name + mcp = FastMCP("Garmin Health Data Explorer") + + @mcp.tool() + def explore_database_structure() -> Dict[str, Any]: + """WHEN TO USE: When you need to understand what health data is available. + + This is your starting point for exploring Garmin health data. Use this tool first + to see what tables and data types are available before running specific queries. + + Returns: + Complete database structure with table descriptions and available data types + """ + try: + # Get all tables + tables_query = """ + SELECT name FROM sqlite_master + WHERE type='table' + ORDER BY name + """ + tables = db_manager.execute_safe_query(tables_query) + table_names = [row['name'] for row in tables] + + # Get row counts for each table + table_info = {} + for table_name in table_names: + count_query = f"SELECT COUNT(*) as count FROM {table_name}" + count_result = db_manager.execute_safe_query(count_query) + + table_info[table_name] = { + "row_count": count_result[0]['count'], + "description": _get_table_description(table_name) + } + + return { + "available_tables": table_info, + "metric_types": [mt.value for mt in MetricType], + "usage_tip": "Use 'execute_sql_query' to get specific data from any table, or 'get_table_details' to see column structure" + } + except Exception as e: + raise ValueError(f"Failed to explore database: {str(e)}") + + @mcp.tool() + def get_table_details(table_name: str) -> Dict[str, Any]: + """WHEN TO USE: When you need to see the structure and sample data of a specific table. + + Use this after 'explore_database_structure' when you want to understand what columns + are available in a table and see examples of the actual data. + + Args: + table_name: Name of the health data table (e.g., 'daily_health_metrics', 'activities') + + Returns: + Table structure with columns, data types, and sample records + """ + if not table_name or not table_name.strip(): + raise ValueError("Table name cannot be empty") + + # Sanitize table name + if not re.match(r'^[a-zA-Z_][a-zA-Z0-9_]*$', table_name): + raise ValueError("Invalid table name format") + + try: + # Verify table exists + check_query = """ + SELECT name FROM sqlite_master + WHERE type='table' AND name=? + """ + check_result = db_manager.execute_safe_query(check_query, [table_name]) + + if not check_result: + available_tables = db_manager.execute_safe_query( + "SELECT name FROM sqlite_master WHERE type='table' ORDER BY name" + ) + table_list = [row['name'] for row in available_tables] + raise ValueError(f"Table '{table_name}' does not exist. Available tables: {', '.join(table_list)}") + + # Get table schema using PRAGMA + schema_query = f"PRAGMA table_info({table_name})" + with db_manager.get_connection() as conn: + cursor = conn.cursor() + cursor.execute(schema_query) + columns = cursor.fetchall() + + column_info = [{ + 'name': col[1], + 'type': col[2], + 'required': bool(col[3]), + 'is_primary_key': bool(col[5]) + } for col in columns] + + # Get sample data (latest 3 records) + sample_query = f"SELECT * FROM {table_name} ORDER BY rowid DESC LIMIT 3" + sample_data = db_manager.execute_safe_query(sample_query) + + return { + "table_name": table_name, + "columns": column_info, + "sample_data": sample_data, + "description": _get_table_description(table_name), + "usage_tip": f"Use 'execute_sql_query' with SELECT statements to get specific data from {table_name}" + } + + except Exception as e: + raise ValueError(f"Failed to get table details: {str(e)}") + + @mcp.tool() + def execute_sql_query( + query: str, + params: Optional[List[Any]] = None + ) -> List[Dict[str, Any]]: + """WHEN TO USE: When you need to get specific data using SQL queries. + + This is the main tool for querying any data from the database. Use it to run SELECT queries + to analyze health metrics, activities, sync status, or find patterns across any tables. + + IMPORTANT: Only SELECT and WITH queries are allowed for security. + + Args: + query: SQL SELECT query (e.g., "SELECT metric_date, total_steps FROM daily_health_metrics WHERE user_id = 1") + params: Optional list of parameters for ? placeholders in query + + Example queries: + - Health metrics: "SELECT metric_date, sleep_duration_hours FROM daily_health_metrics WHERE user_id = 1 ORDER BY metric_date DESC LIMIT 10" + - Activities: "SELECT activity_date, activity_name, duration_seconds FROM activities WHERE user_id = 1" + - High step days: "SELECT metric_date, total_steps FROM daily_health_metrics WHERE total_steps > 10000" + - Timeseries data: "SELECT timestamp, value FROM timeseries WHERE metric_type = 'heart_rate'" + + Returns: + List of matching records as dictionaries + """ + if not query or not query.strip(): + raise ValueError("Query cannot be empty") + + try: + return db_manager.execute_safe_query(query, params) + except Exception as e: + raise ValueError(f"Query execution failed: {str(e)}") + + @mcp.tool() + def get_health_summary( + user_id: int = 1, + days: int = 30 + ) -> Dict[str, Any]: + """WHEN TO USE: When you want a quick overview of health metrics without writing SQL. + + This tool provides a ready-made summary of key health metrics over a specified period. + Use this for getting an overview before diving into specific analysis. + + Args: + user_id: User ID to analyze (default: 1) + days: Number of recent days to analyze (max 365, default: 30) + + Returns: + Summary statistics including averages for steps, sleep, heart rate, stress, and activity count + """ + if days > 365: + raise ValueError("Days cannot exceed 365") + + if user_id < 1: + raise ValueError("User ID must be positive") + + try: + # Get health metrics summary + summary_query = """ + SELECT + COUNT(*) as total_days_with_data, + ROUND(AVG(total_steps), 0) as avg_daily_steps, + ROUND(AVG(sleep_duration_hours), 1) as avg_sleep_hours, + ROUND(AVG(resting_heart_rate), 0) as avg_resting_hr, + ROUND(AVG(avg_stress_level), 0) as avg_stress_level, + MIN(metric_date) as earliest_data_date, + MAX(metric_date) as latest_data_date + FROM daily_health_metrics + WHERE user_id = ? + AND metric_date >= date('now', '-' || ? || ' days') + """ + + summary_result = db_manager.execute_safe_query(summary_query, [user_id, days]) + summary = summary_result[0] if summary_result else {} + + # Get activity count + activity_query = """ + SELECT COUNT(*) as activity_count + FROM activities + WHERE user_id = ? + AND activity_date >= date('now', '-' || ? || ' days') + """ + + activity_result = db_manager.execute_safe_query(activity_query, [user_id, days]) + if activity_result: + summary['total_activities'] = activity_result[0]['activity_count'] + + summary['analysis_period_days'] = days + summary['user_id'] = user_id + + return summary + + except Exception as e: + raise ValueError(f"Failed to generate health summary: {str(e)}") + + @mcp.resource() + def health_data_guide() -> str: + """Complete guide to understanding and querying Garmin health data. + + This resource provides all the information needed to understand the available + health data and how to query it effectively. + """ + return _get_health_data_guide() + + return mcp + + +def _get_table_description(table_name: str) -> str: + """Get human-readable description for table.""" + descriptions = { + "daily_health_metrics": "Daily health summaries including steps, sleep, heart rate, stress, and other key metrics", + "timeseries": "High-frequency data like heart rate readings throughout the day, stress levels, body battery", + "activities": "Individual workouts and physical activities with performance metrics", + "sync_status": "System table tracking data synchronization status (usually not needed for health analysis)" + } + return descriptions.get(table_name, "Health data table") + + +def _get_health_data_guide() -> str: + """Get comprehensive guide for health data analysis.""" + return ''' +# Garmin Health Data Analysis Guide + +## Quick Start +1. Use `explore_database_structure` first to see what data is available +2. Use `get_table_details` to understand specific tables +3. Use `execute_sql_query` for custom analysis or `get_health_summary` for quick overviews + +## Main Data Tables + +### daily_health_metrics +**WHAT**: Daily summaries of all health metrics +**CONTAINS**: steps, sleep hours, heart rate averages, stress levels, body battery +**COMMON QUERIES**: +- Recent trends: `SELECT metric_date, total_steps, sleep_duration_hours FROM daily_health_metrics WHERE user_id = 1 ORDER BY metric_date DESC LIMIT 30` +- Sleep analysis: `SELECT metric_date, sleep_duration_hours, deep_sleep_hours FROM daily_health_metrics WHERE sleep_duration_hours IS NOT NULL` + +### activities +**WHAT**: Individual workouts and physical activities +**CONTAINS**: activity type, duration, heart rate, training load +**COMMON QUERIES**: +- Recent workouts: `SELECT activity_date, activity_name, duration_seconds/60 as minutes FROM activities ORDER BY activity_date DESC` +- Performance trends: `SELECT activity_name, AVG(avg_heart_rate), AVG(training_load) FROM activities GROUP BY activity_name` + +### timeseries +**WHAT**: High-frequency data throughout the day +**CONTAINS**: heart rate readings, stress measurements, body battery levels with timestamps +**USE CASE**: Detailed intraday analysis + +## Health Metrics Available +- **Steps & Movement**: total_steps, total_distance_meters +- **Sleep**: sleep_duration_hours, deep_sleep_hours, rem_sleep_hours +- **Heart Rate**: resting_heart_rate, max_heart_rate, average_heart_rate +- **Stress & Recovery**: avg_stress_level, body_battery_high/low +- **Training**: training_readiness_score, activities data + +## Tips for Analysis +- Always include `user_id = 1` in WHERE clauses +- Use `metric_date` for date filtering in daily_health_metrics +- Use `activity_date` for date filtering in activities +- NULL values are common - use `IS NOT NULL` to filter out missing data +- For recent data: `WHERE metric_date >= date('now', '-30 days')` + +## Common Analysis Patterns +1. **Trend Analysis**: Compare metrics over time periods +2. **Correlation Analysis**: Look for relationships between sleep, stress, and performance +3. **Goal Tracking**: Monitor progress toward targets (steps, sleep duration) +4. **Activity Analysis**: Understand workout patterns and performance + '''.strip() + + +# Legacy function for backwards compatibility +def create_mcp_server_from_env() -> FastMCP: + """Create MCP server from environment variables (backwards compatibility).""" + return create_mcp_server() + + +# Main entry point for MCP server +def main(): + """Main entry point for the Garmin LocalDB MCP server.""" + try: + mcp = create_mcp_server() + mcp.run() + except Exception as e: + print(f"Failed to start MCP server: {e}") + raise + + +if __name__ == "__main__": + main() \ No newline at end of file From b5394afa9b092acac45bc8b15e9c0e1e1c06f3d0 Mon Sep 17 00:00:00 2001 From: bes-dev Date: Mon, 30 Jun 2025 18:00:16 +0400 Subject: [PATCH 5/8] clean code --- check_null_columns.py | 136 +++++++++++++++++++++++++++++ docs/claude-desktop-integration.md | 47 ++++++++++ docs/mcp-server-guide.md | 33 +++++++ src/garmy/localdb/extractors.py | 93 ++++++++++++++++---- src/garmy/localdb/models.py | 2 +- src/garmy/localdb/sync.py | 40 +++++---- src/garmy/mcp/server.py | 2 +- 7 files changed, 317 insertions(+), 36 deletions(-) create mode 100644 check_null_columns.py diff --git a/check_null_columns.py b/check_null_columns.py new file mode 100644 index 0000000..561c6cf --- /dev/null +++ b/check_null_columns.py @@ -0,0 +1,136 @@ +#!/usr/bin/env python3 +"""Check database for columns with all NULL values.""" + +import sqlite3 +import sys +from pathlib import Path + +def check_null_columns(db_path: str): + """Check which columns have all NULL values in each table.""" + + if not Path(db_path).exists(): + print(f"โŒ Database file not found: {db_path}") + return + + try: + conn = sqlite3.connect(db_path) + cursor = conn.cursor() + + # Get all tables + cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%';") + tables = cursor.fetchall() + + print(f"๐Ÿ” Checking NULL columns in database: {db_path}") + print("=" * 80) + + total_null_columns = 0 + + for table_name, in tables: + # Get table info + cursor.execute(f"PRAGMA table_info({table_name});") + columns_info = cursor.fetchall() + + # Get row count + cursor.execute(f"SELECT COUNT(*) FROM {table_name};") + total_rows = cursor.fetchone()[0] + + if total_rows == 0: + print(f"\n๐Ÿ“Š Table: {table_name} (0 rows - skipping)") + continue + + null_columns = [] + + for col in columns_info: + col_name = col[1] # Column name is at index 1 + + # Count non-NULL values + cursor.execute(f"SELECT COUNT(*) FROM {table_name} WHERE {col_name} IS NOT NULL;") + non_null_count = cursor.fetchone()[0] + + if non_null_count == 0: + null_columns.append(col_name) + + # Report results for this table + print(f"\n๐Ÿ“Š Table: {table_name} ({total_rows} rows)") + + if null_columns: + print(f"โŒ Columns with ALL NULL values ({len(null_columns)} columns):") + for col in null_columns: + print(f" โ€ข {col}") + total_null_columns += len(null_columns) + else: + print("โœ… No columns with all NULL values") + + print("\n" + "=" * 80) + print(f"๐Ÿ“ˆ SUMMARY: Found {total_null_columns} columns with all NULL values across all tables") + + conn.close() + + except sqlite3.Error as e: + print(f"โŒ Database error: {e}") + except Exception as e: + print(f"โŒ Error: {e}") + +def check_specific_columns(db_path: str, table_name: str, columns: list): + """Check specific columns for NULL values.""" + + if not Path(db_path).exists(): + print(f"โŒ Database file not found: {db_path}") + return + + try: + conn = sqlite3.connect(db_path) + cursor = conn.cursor() + + # Get row count + cursor.execute(f"SELECT COUNT(*) FROM {table_name};") + total_rows = cursor.fetchone()[0] + + print(f"\n๐Ÿ” Checking specific columns in {table_name} ({total_rows} rows):") + print("-" * 50) + + for col in columns: + try: + # Count non-NULL values + cursor.execute(f"SELECT COUNT(*) FROM {table_name} WHERE {col} IS NOT NULL;") + non_null_count = cursor.fetchone()[0] + + null_count = total_rows - non_null_count + percentage = (null_count / total_rows * 100) if total_rows > 0 else 0 + + status = "โŒ" if non_null_count == 0 else "โœ…" if null_count == 0 else "โš ๏ธ " + print(f"{status} {col}: {non_null_count} non-NULL, {null_count} NULL ({percentage:.1f}%)") + + except sqlite3.Error as e: + print(f"โŒ {col}: Error - {e}") + + conn.close() + + except sqlite3.Error as e: + print(f"โŒ Database error: {e}") + except Exception as e: + print(f"โŒ Error: {e}") + +if __name__ == "__main__": + # Default database path + db_path = "health.db" + + if len(sys.argv) > 1: + db_path = sys.argv[1] + + # Check all columns for NULL values + check_null_columns(db_path) + + # Check specific sleep and health columns + sleep_columns = [ + 'sleep_duration_hours', 'deep_sleep_hours', 'light_sleep_hours', + 'rem_sleep_hours', 'awake_hours', 'deep_sleep_percentage', + 'light_sleep_percentage', 'rem_sleep_percentage', 'awake_percentage' + ] + + health_columns = [ + 'step_goal', 'resting_heart_rate', 'max_heart_rate', 'min_heart_rate', + 'average_heart_rate', 'avg_stress_level', 'average_spo2', 'average_respiration' + ] + + check_specific_columns(db_path, 'daily_health_metrics', sleep_columns + health_columns) \ No newline at end of file diff --git a/docs/claude-desktop-integration.md b/docs/claude-desktop-integration.md index ad0683b..429e173 100644 --- a/docs/claude-desktop-integration.md +++ b/docs/claude-desktop-integration.md @@ -49,6 +49,18 @@ garmy-mcp server --database health.db --verbose } ``` +**Alternative: Using python -m** +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "python", + "args": ["-m", "garmy.mcp", "server", "--database", "/full/path/to/health.db", "--max-rows", "500"] + } + } +} +``` + ### 4. Restart Claude Desktop - Completely quit Claude Desktop - Restart the application @@ -85,6 +97,23 @@ garmy-mcp server --database health.db --verbose } ``` +**Alternative: Using python -m** +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "python", + "args": [ + "-m", "garmy.mcp", "server", + "--database", "/path/to/health.db", + "--max-rows", "100", + "--max-rows-absolute", "500" + ] + } + } +} +``` + ### Development Configuration (Verbose) ```json { @@ -103,6 +132,24 @@ garmy-mcp server --database health.db --verbose } ``` +**Alternative: Using python -m** +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "python", + "args": [ + "-m", "garmy.mcp", "server", + "--database", "/path/to/health.db", + "--max-rows", "1000", + "--enable-query-logging", + "--verbose" + ] + } + } +} +``` + ### Using Environment Variables ```json { diff --git a/docs/mcp-server-guide.md b/docs/mcp-server-guide.md index e20b75d..c578e6a 100644 --- a/docs/mcp-server-guide.md +++ b/docs/mcp-server-guide.md @@ -24,8 +24,12 @@ garmy-sync sync --last-days 30 # Basic usage garmy-mcp server --database health.db +# Alternative: via python -m +python -m garmy.mcp server --database health.db + # With custom configuration garmy-mcp server --database health.db --max-rows 500 --enable-query-logging +python -m garmy.mcp server --database health.db --max-rows 500 --enable-query-logging ``` ### 4. Claude Desktop Integration @@ -42,6 +46,18 @@ Add to `~/.claude_desktop_config.json`: } ``` +**Alternative: Using python -m** +```json +{ + "mcpServers": { + "garmy-localdb": { + "command": "python", + "args": ["-m", "garmy.mcp", "server", "--database", "/path/to/health.db", "--max-rows", "500"] + } + } +} +``` + ## ๐Ÿ“‹ Available Commands ### `garmy-mcp server` @@ -160,6 +176,11 @@ Complete guide to understanding and querying Garmin health data, including: garmy-mcp server --database health.db \ --max-rows 100 \ --max-rows-absolute 500 + +# Alternative: via python -m +python -m garmy.mcp server --database health.db \ + --max-rows 100 \ + --max-rows-absolute 500 ``` ### Development Configuration (Permissive with Logging) @@ -168,6 +189,12 @@ garmy-mcp server --database health.db \ --max-rows 2000 \ --enable-query-logging \ --verbose + +# Alternative: via python -m +python -m garmy.mcp server --database health.db \ + --max-rows 2000 \ + --enable-query-logging \ + --verbose ``` ### Debug Configuration (Relaxed Validation) @@ -176,6 +203,12 @@ garmy-mcp server --database health.db \ --disable-strict-validation \ --enable-query-logging \ --verbose + +# Alternative: via python -m +python -m garmy.mcp server --database health.db \ + --disable-strict-validation \ + --enable-query-logging \ + --verbose ``` ## ๐Ÿ” Security Features diff --git a/src/garmy/localdb/extractors.py b/src/garmy/localdb/extractors.py index 244853f..c867863 100644 --- a/src/garmy/localdb/extractors.py +++ b/src/garmy/localdb/extractors.py @@ -26,47 +26,90 @@ def extract_metric_data(self, data: Any, metric_type: MetricType) -> Optional[Di return self._extract_steps_data(data) elif metric_type == MetricType.CALORIES: return self._extract_calories_data(data) + elif metric_type == MetricType.HEART_RATE: + return self._extract_heart_rate_summary(data) + elif metric_type == MetricType.STRESS: + return self._extract_stress_summary(data) + elif metric_type == MetricType.BODY_BATTERY: + return self._extract_body_battery_summary(data) else: return None def _extract_daily_summary_data(self, data: Any) -> Dict[str, Any]: """Extract daily summary data.""" return { + # Steps and movement 'total_steps': getattr(data, 'total_steps', None), - 'step_goal': getattr(data, 'step_goal', None), + 'step_goal': getattr(data, 'daily_step_goal', None), # Correct attribute name! 'total_distance_meters': getattr(data, 'total_distance_meters', None), + + # Calories 'total_calories': getattr(data, 'total_kilocalories', None), 'active_calories': getattr(data, 'active_kilocalories', None), 'bmr_calories': getattr(data, 'bmr_kilocalories', None), + + # Heart rate 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), 'max_heart_rate': getattr(data, 'max_heart_rate', None), 'min_heart_rate': getattr(data, 'min_heart_rate', None), 'average_heart_rate': getattr(data, 'average_heart_rate', None), - 'avg_stress_level': getattr(data, 'avg_stress_level', None), - 'max_stress_level': getattr(data, 'max_stress_level', None), + + # Stress and recovery + 'avg_stress_level': getattr(data, 'avg_stress_level', None) or getattr(data, 'stress_avg', None), + 'max_stress_level': getattr(data, 'max_stress_level', None) or getattr(data, 'stress_max', None), 'body_battery_high': getattr(data, 'body_battery_highest_value', None), - 'body_battery_low': getattr(data, 'body_battery_lowest_value', None) + 'body_battery_low': getattr(data, 'body_battery_lowest_value', None), + + # Additional metrics that might be in daily summary + 'average_spo2': getattr(data, 'average_sp_o2_value', None), + 'average_respiration': getattr(data, 'average_respiration_value', None) } def _extract_sleep_data(self, data: Any) -> Dict[str, Any]: - """Extract sleep data with percentages and durations.""" - sleep_data = { - 'sleep_duration_hours': getattr(data, 'sleep_time_seconds', 0) / 3600 if getattr(data, 'sleep_time_seconds', None) else None, - 'deep_sleep_percentage': getattr(data, 'deep_sleep_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'deep_sleep_seconds', None) else None, - 'light_sleep_percentage': getattr(data, 'light_sleep_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'light_sleep_seconds', None) else None, - 'rem_sleep_percentage': getattr(data, 'rem_sleep_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'rem_sleep_seconds', None) else None, - 'awake_percentage': getattr(data, 'awake_seconds', 0) / getattr(data, 'sleep_time_seconds', 1) * 100 if getattr(data, 'sleep_time_seconds', None) and getattr(data, 'awake_seconds', None) else None, - 'average_spo2': getattr(data, 'average_sp_o2_value', None), - 'average_respiration': getattr(data, 'average_respiration_value', None) + """Extract sleep data from Sleep object - use the properties, stupid!""" + return { + # Use the built-in properties from Sleep class + 'sleep_duration_hours': getattr(data, 'sleep_duration_hours', None), + 'deep_sleep_percentage': getattr(data, 'deep_sleep_percentage', None), + 'light_sleep_percentage': getattr(data, 'light_sleep_percentage', None), + 'rem_sleep_percentage': getattr(data, 'rem_sleep_percentage', None), + 'awake_percentage': getattr(data, 'awake_percentage', None), + + # Calculate hours from the summary if available + 'deep_sleep_hours': getattr(data.sleep_summary, 'deep_sleep_seconds', 0) / 3600 if hasattr(data, 'sleep_summary') and data.sleep_summary and getattr(data.sleep_summary, 'deep_sleep_seconds', 0) > 0 else None, + 'light_sleep_hours': getattr(data.sleep_summary, 'light_sleep_seconds', 0) / 3600 if hasattr(data, 'sleep_summary') and data.sleep_summary and getattr(data.sleep_summary, 'light_sleep_seconds', 0) > 0 else None, + 'rem_sleep_hours': getattr(data.sleep_summary, 'rem_sleep_seconds', 0) / 3600 if hasattr(data, 'sleep_summary') and data.sleep_summary and getattr(data.sleep_summary, 'rem_sleep_seconds', 0) > 0 else None, + 'awake_hours': getattr(data.sleep_summary, 'awake_sleep_seconds', 0) / 3600 if hasattr(data, 'sleep_summary') and data.sleep_summary and getattr(data.sleep_summary, 'awake_sleep_seconds', 0) > 0 else None, + + # Physiological data from summary + 'average_spo2': getattr(data.sleep_summary, 'average_sp_o2_value', None) if hasattr(data, 'sleep_summary') and data.sleep_summary else None, + 'average_respiration': getattr(data.sleep_summary, 'average_respiration_value', None) if hasattr(data, 'sleep_summary') and data.sleep_summary else None } - return sleep_data def _extract_heart_rate_summary(self, data: Any) -> Dict[str, Any]: """Extract heart rate summary data.""" + # Heart rate data is in heart_rate_summary nested object + summary = getattr(data, 'heart_rate_summary', data) + return { - 'resting_heart_rate': getattr(data, 'resting_heart_rate', None), - 'max_heart_rate': getattr(data, 'max_heart_rate', None), - 'min_heart_rate': getattr(data, 'min_heart_rate', None) + 'resting_heart_rate': getattr(summary, 'resting_heart_rate', None), + 'max_heart_rate': getattr(summary, 'max_heart_rate', None), + 'min_heart_rate': getattr(summary, 'min_heart_rate', None), + 'average_heart_rate': getattr(data, 'average_heart_rate', None) # This is on main object + } + + def _extract_stress_summary(self, data: Any) -> Dict[str, Any]: + """Extract stress summary data.""" + return { + 'avg_stress_level': getattr(data, 'avg_stress_level', None) or getattr(data, 'stress_avg', None), + 'max_stress_level': getattr(data, 'max_stress_level', None) or getattr(data, 'stress_max', None) + } + + def _extract_body_battery_summary(self, data: Any) -> Dict[str, Any]: + """Extract body battery summary data.""" + return { + 'body_battery_high': getattr(data, 'body_battery_highest_value', None) or getattr(data, 'highest_value', None), + 'body_battery_low': getattr(data, 'body_battery_lowest_value', None) or getattr(data, 'lowest_value', None) } def _extract_training_readiness_data(self, data: Any) -> Dict[str, Any]: @@ -90,14 +133,30 @@ def _extract_hrv_data(self, data: Any) -> Dict[str, Any]: def _extract_respiration_summary(self, data: Any) -> Dict[str, Any]: """Extract respiration summary - unique respiratory metrics.""" + # Try different possible locations for respiration data summary = getattr(data, 'respiration_summary', None) if summary: return { + 'average_respiration': getattr(summary, 'average_respiration_value', None), 'avg_waking_respiration_value': getattr(summary, 'avg_waking_respiration_value', None), 'avg_sleep_respiration_value': getattr(summary, 'avg_sleep_respiration_value', None), 'lowest_respiration_value': getattr(summary, 'lowest_respiration_value', None), 'highest_respiration_value': getattr(summary, 'highest_respiration_value', None) } + + # Also try direct attributes + result = { + 'average_respiration': getattr(data, 'average_respiration_value', None), + 'avg_waking_respiration_value': getattr(data, 'avg_waking_respiration_value', None), + 'avg_sleep_respiration_value': getattr(data, 'avg_sleep_respiration_value', None), + 'lowest_respiration_value': getattr(data, 'lowest_respiration_value', None), + 'highest_respiration_value': getattr(data, 'highest_respiration_value', None) + } + + # Return only if we have any data + if any(v is not None for v in result.values()): + return result + return {} def _extract_activity_data(self, data: Any) -> Dict[str, Any]: diff --git a/src/garmy/localdb/models.py b/src/garmy/localdb/models.py index 5d70f98..cb510bc 100644 --- a/src/garmy/localdb/models.py +++ b/src/garmy/localdb/models.py @@ -4,7 +4,7 @@ from enum import Enum from sqlalchemy import Column, Integer, String, Float, Date, DateTime, JSON, Text -from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.orm import declarative_base Base = declarative_base() diff --git a/src/garmy/localdb/sync.py b/src/garmy/localdb/sync.py index 1ab769a..e71bbe6 100644 --- a/src/garmy/localdb/sync.py +++ b/src/garmy/localdb/sync.py @@ -128,27 +128,32 @@ def _sync_metric_for_date(self, user_id: int, sync_date: date, metric_type: Metr return try: + data = self.api_client.metrics.get(metric_type.value).get(sync_date) + + # Extract summary/daily data for health metrics table + extracted_data = self.extractor.extract_metric_data(data, metric_type) + summary_stored = False + + + if extracted_data and any(v is not None for v in extracted_data.values()): + self._store_health_metric(user_id, sync_date, metric_type, extracted_data) + summary_stored = True + + # Also extract timeseries data for applicable metrics + timeseries_stored = False if metric_type in [MetricType.BODY_BATTERY, MetricType.STRESS, MetricType.HEART_RATE, MetricType.RESPIRATION]: - data = self.api_client.metrics.get(metric_type.value).get(sync_date) timeseries_data = self.extractor.extract_timeseries_data(data, metric_type) if timeseries_data: self.db.store_timeseries_batch(user_id, metric_type, timeseries_data) - self.db.update_sync_status(user_id, sync_date, metric_type, 'completed') - stats['completed'] += 1 - else: - self.db.update_sync_status(user_id, sync_date, metric_type, 'skipped') - stats['skipped'] += 1 + timeseries_stored = True + + # Update status based on what was stored + if summary_stored or timeseries_stored: + self.db.update_sync_status(user_id, sync_date, metric_type, 'completed') + stats['completed'] += 1 else: - data = self.api_client.metrics.get(metric_type.value).get(sync_date) - extracted_data = self.extractor.extract_metric_data(data, metric_type) - - if extracted_data and any(v is not None for v in extracted_data.values()): - self._store_health_metric(user_id, sync_date, metric_type, extracted_data) - self.db.update_sync_status(user_id, sync_date, metric_type, 'completed') - stats['completed'] += 1 - else: - self.db.update_sync_status(user_id, sync_date, metric_type, 'skipped') - stats['skipped'] += 1 + self.db.update_sync_status(user_id, sync_date, metric_type, 'skipped') + stats['skipped'] += 1 self.progress.task_complete(f"{metric_type.value}", sync_date) @@ -208,7 +213,8 @@ def _store_health_metric(self, user_id: int, sync_date: date, metric_type: Metri hrv_last_night_avg=data.get('last_night_avg'), hrv_status=data.get('status') ) - elif metric_type == MetricType.RESPIRATION: + elif metric_type in [MetricType.RESPIRATION, MetricType.HEART_RATE, MetricType.STRESS, MetricType.BODY_BATTERY, MetricType.STEPS, MetricType.CALORIES]: + # Store all extracted data for these metrics self.db.store_health_metric(user_id, sync_date, **data) def _is_metric_completed(self, user_id: int, metric_type: MetricType, sync_date: date) -> bool: diff --git a/src/garmy/mcp/server.py b/src/garmy/mcp/server.py index 394585a..e14d0ba 100644 --- a/src/garmy/mcp/server.py +++ b/src/garmy/mcp/server.py @@ -381,7 +381,7 @@ def get_health_summary( except Exception as e: raise ValueError(f"Failed to generate health summary: {str(e)}") - @mcp.resource() + @mcp.resource("file://health_data_guide") def health_data_guide() -> str: """Complete guide to understanding and querying Garmin health data. From 1192632ff2ae63d2da10edcd8bdf50fc32ef3b4a Mon Sep 17 00:00:00 2001 From: bes-dev Date: Mon, 30 Jun 2025 18:40:36 +0400 Subject: [PATCH 6/8] clean code --- README.md | 14 +- docs/README.md | 25 +-- docs/claude-desktop-integration.md | 2 +- docs/database-schema.md | 3 +- docs/localdb-guide.md | 4 +- docs/mcp-example.md | 263 +++++++++++++++++++++++++++++ docs/mcp-server-guide.md | 2 +- docs/quick-start.md | 104 +++--------- 8 files changed, 296 insertions(+), 121 deletions(-) create mode 100644 docs/mcp-example.md diff --git a/README.md b/README.md index f4ba8a7..05b66cc 100644 --- a/README.md +++ b/README.md @@ -144,28 +144,22 @@ Garmy consists of three main modules: ### ๐Ÿ“– Getting Started - **[Quick Start Guide](docs/quick-start.md)** - Get up and running in minutes -- **[Installation Guide](docs/quick-start.md#installation)** - Detailed installation instructions -- **[Basic Examples](docs/examples/basic-usage.md)** - Simple usage patterns +- **[Basic Examples](examples/README.md)** - Simple usage patterns ### ๐Ÿ—๏ธ Core Features -- **[API Reference](docs/api-reference.md)** - Complete API documentation -- **[Configuration](docs/configuration.md)** - Environment variables and settings -- **[Available Metrics](docs/api-reference.md#metrics)** - All supported health metrics +- **[Available Metrics](#-available-health-metrics)** - All supported health metrics in this README ### ๐Ÿ’พ Local Database - **[LocalDB Guide](docs/localdb-guide.md)** - Complete local storage guide - **[Database Schema](docs/database-schema.md)** - Schema and table structure -- **[Sync Operations](docs/sync-operations.md)** - Data synchronization patterns ### ๐Ÿค– AI Integration +- **[MCP Usage Example](docs/mcp-example.md)** - Complete walkthrough from sync to AI analysis - **[MCP Server Guide](docs/mcp-server-guide.md)** - AI assistant integration - **[Claude Desktop Setup](docs/claude-desktop-integration.md)** - Step-by-step Claude integration -- **[MCP Tools Reference](docs/mcp-tools-reference.md)** - Available AI tools ### ๐Ÿ”ฌ Advanced Usage -- **[AI Health Analytics](docs/examples/ai-health-analytics.md)** - Building AI health applications -- **[Advanced Workflows](docs/examples/advanced-workflows.md)** - Complex analysis patterns -- **[Contributing Guide](docs/contributing.md)** - How to contribute +- **[Examples Directory](examples/)** - Comprehensive usage examples ## ๐ŸŽฏ Use Cases diff --git a/docs/README.md b/docs/README.md index 719716d..1a4ebb6 100644 --- a/docs/README.md +++ b/docs/README.md @@ -6,50 +6,33 @@ Complete documentation for the Garmy health data analysis library. ### Core Library - **[Quick Start Guide](quick-start.md)** - Get up and running with Garmy in minutes -- **[API Reference](api-reference.md)** - Complete API documentation for all modules -- **[Configuration](configuration.md)** - Configuration options and environment variables ### LocalDB Module - **[LocalDB Guide](localdb-guide.md)** - Complete guide to local health data storage - **[Database Schema](database-schema.md)** - Database structure and table relationships -- **[Sync Operations](sync-operations.md)** - Data synchronization and management ### MCP Server +- **[MCP Usage Example](mcp-example.md)** - Complete walkthrough from sync to AI analysis - **[MCP Server Guide](mcp-server-guide.md)** - Model Context Protocol server for AI integration -- **[MCP Tools Reference](mcp-tools-reference.md)** - Available tools and their usage - **[Claude Desktop Integration](claude-desktop-integration.md)** - Setup with Claude Desktop ### Examples and Tutorials -- **[Basic Examples](examples/basic-usage.md)** - Simple usage patterns -- **[AI Health Analytics](examples/ai-health-analytics.md)** - Building AI health applications -- **[Advanced Workflows](examples/advanced-workflows.md)** - Complex analysis patterns - -### Development -- **[Contributing Guide](contributing.md)** - How to contribute to Garmy -- **[Development Setup](development-setup.md)** - Local development environment -- **[Testing Guide](testing.md)** - Running and writing tests +- **[Examples Directory](../examples/)** - Comprehensive usage examples ## ๐ŸŽฏ Quick Navigation ### For Beginners 1. [Quick Start Guide](quick-start.md) - Start here! -2. [Basic Examples](examples/basic-usage.md) - Learn with examples -3. [Configuration](configuration.md) - Customize your setup +2. [Examples Directory](../examples/) - Learn with examples ### For AI Developers -1. [AI Health Analytics](examples/ai-health-analytics.md) - AI integration patterns +1. [MCP Usage Example](mcp-example.md) - Complete walkthrough โญ 2. [MCP Server Guide](mcp-server-guide.md) - AI assistant integration 3. [Claude Desktop Integration](claude-desktop-integration.md) - Claude setup ### For Data Analysts 1. [LocalDB Guide](localdb-guide.md) - Local data storage 2. [Database Schema](database-schema.md) - Understanding the data -3. [Advanced Workflows](examples/advanced-workflows.md) - Analysis patterns - -### For Contributors -1. [Contributing Guide](contributing.md) - Get started contributing -2. [Development Setup](development-setup.md) - Dev environment -3. [API Reference](api-reference.md) - Understand the codebase ## ๐Ÿ”— External Resources diff --git a/docs/claude-desktop-integration.md b/docs/claude-desktop-integration.md index 429e173..6b6acde 100644 --- a/docs/claude-desktop-integration.md +++ b/docs/claude-desktop-integration.md @@ -393,7 +393,7 @@ With proper setup, you can ask Claude questions like: ## ๐Ÿ”— Related Documentation +- **[MCP Usage Example](mcp-example.md)** - Complete walkthrough from sync to AI analysis โญ - **[MCP Server Guide](mcp-server-guide.md)** - Complete MCP server documentation -- **[MCP Tools Reference](mcp-tools-reference.md)** - Detailed tool documentation - **[Database Schema](database-schema.md)** - Understanding your health data - **[LocalDB Guide](localdb-guide.md)** - Setting up data synchronization \ No newline at end of file diff --git a/docs/database-schema.md b/docs/database-schema.md index a8e7c4a..455d4d0 100644 --- a/docs/database-schema.md +++ b/docs/database-schema.md @@ -295,5 +295,4 @@ Always use `IS NOT NULL` checks in analysis queries. - **[LocalDB Guide](localdb-guide.md)** - Working with the database - **[MCP Server Guide](mcp-server-guide.md)** - Querying via MCP -- **[Sync Operations](sync-operations.md)** - Data synchronization -- **[API Reference](api-reference.md)** - Programmatic access \ No newline at end of file +- **[Quick Start Guide](quick-start.md)** - Getting started \ No newline at end of file diff --git a/docs/localdb-guide.md b/docs/localdb-guide.md index c15abda..3b6c1c8 100644 --- a/docs/localdb-guide.md +++ b/docs/localdb-guide.md @@ -301,6 +301,6 @@ stats = sync_manager.sync_range(user_id=1, start_date=start_date, end_date=end_d ## ๐Ÿ”— Related Documentation - **[Database Schema](database-schema.md)** - Detailed schema documentation -- **[Sync Operations](sync-operations.md)** - Advanced sync patterns - **[MCP Server Guide](mcp-server-guide.md)** - AI integration with local data -- **[API Reference](api-reference.md)** - Complete API documentation \ No newline at end of file +- **[Quick Start Guide](quick-start.md)** - Getting started +- **[Examples](../examples/)** - Usage examples \ No newline at end of file diff --git a/docs/mcp-example.md b/docs/mcp-example.md new file mode 100644 index 0000000..0fab564 --- /dev/null +++ b/docs/mcp-example.md @@ -0,0 +1,263 @@ +# MCP Usage Example + +Complete walkthrough from data synchronization to AI analysis with Claude Desktop. + +## ๐ŸŽฏ Overview + +This example shows the complete workflow: +1. **Sync health data** from Garmin Connect to local database +2. **Setup MCP server** for AI access +3. **Configure Claude Desktop** for health data analysis +4. **Analyze data** with natural language queries + +## ๐Ÿ“‹ Prerequisites + +```bash +# Install Garmy with all features +pip install garmy[all] + +# Verify installation +garmy-sync --help +garmy-mcp --help +``` + +## Step 1: Sync Your Health Data ๐Ÿ“Š + +### Initial Setup +```bash +# Sync last 30 days of health data +garmy-sync --db-path health.db sync --last-days 30 +``` + +**What happens:** +- Downloads sleep, activity, heart rate, stress, and other metrics +- Stores data in local SQLite database (`health.db`) +- Creates normalized tables for efficient querying + +**Example output:** +``` +Syncing data from 2024-12-01 to 2024-12-30 +Enter your Garmin Connect credentials: +Email: your_email@garmin.com +Password: [hidden] +Connecting to Garmin Connect... +Syncing metrics: DAILY_SUMMARY, SLEEP, ACTIVITIES, BODY_BATTERY, STRESS, HEART_RATE, TRAINING_READINESS, HRV, RESPIRATION, STEPS, CALORIES + +Sync completed! + Completed: 287 + Skipped: 43 + Failed: 0 + Total tasks: 330 +``` + +### Verify Your Data +```bash +# Check sync status +garmy-sync --db-path health.db status + +# Show database information +garmy-mcp info --database health.db +``` + +## Step 2: Setup MCP Server ๐Ÿค– + +### Test MCP Server +```bash +# Start MCP server (test it works) +garmy-mcp server --database health.db --verbose +``` + +**Expected output:** +``` +[06/30/25 14:29:43] INFO Starting MCP server 'Garmin Health Data Explorer' with transport 'stdio' +``` + +Press `Ctrl+C` to stop the test server. + +### Configure for Claude Desktop + +**macOS:** Edit `~/Library/Application Support/Claude/claude_desktop_config.json` +**Windows:** Edit `%APPDATA%\Claude\claude_desktop_config.json` +**Linux:** Edit `~/.config/Claude/claude_desktop_config.json` + +```json +{ + "mcpServers": { + "garmy-health": { + "command": "garmy-mcp", + "args": [ + "server", + "--database", "/full/path/to/health.db", + "--max-rows", "500" + ] + } + } +} +``` + +**Important:** Use the **full absolute path** to your `health.db` file! + +## Step 3: Configure Claude Desktop ๐Ÿ–ฅ๏ธ + +### Restart Claude Desktop +1. **Completely quit** Claude Desktop +2. **Restart** the application +3. Look for the **๐Ÿ”Œ plug icon** indicating MCP connection + +### Verify Connection +You should see the MCP connection indicator in Claude Desktop. If not, check: +- JSON syntax is correct +- Database path is absolute and correct +- File permissions allow reading `health.db` + +## Step 4: Analyze Your Health Data ๐Ÿ’ฌ + +Now you can have natural conversations with Claude about your health data! + +### Getting Started Queries + +**Explore what data you have:** +> "What health data do I have available? Show me the database structure." + +**Claude will use** `explore_database_structure()` **and respond with:** +``` +I can see you have comprehensive health data with 4 main tables: + +๐Ÿ“Š daily_health_metrics (30 records): Daily summaries including steps, sleep, heart rate, stress +๐Ÿƒ activities (12 records): Individual workouts with performance metrics +๐Ÿ“ˆ timeseries (8,640 records): High-frequency heart rate, stress, body battery data +๐Ÿ“‹ sync_status (330 records): Data synchronization tracking + +You have data spanning from 2024-12-01 to 2024-12-30. +``` + +### Sleep Analysis Examples + +**Basic sleep overview:** +> "How has my sleep been over the last month?" + +**Detailed sleep analysis:** +> "Analyze my sleep patterns. Show me average sleep duration, deep sleep percentage, and any trends over time." + +**Sleep quality insights:** +> "What factors might be affecting my sleep quality? Look at correlations between sleep duration, stress levels, and activity." + +### Activity and Fitness Analysis + +**Workout summary:** +> "What are my most common workouts and how intense are they typically?" + +**Performance trends:** +> "Show me my fitness progression over the last month. Look at heart rate trends, training load, and recovery patterns." + +**Activity vs recovery:** +> "Is there a relationship between my workout intensity and my next-day recovery metrics like HRV and training readiness?" + +### Health Correlations + +**Stress and sleep:** +> "Is there a correlation between my daily stress levels and sleep quality?" + +**Steps and energy:** +> "How does my daily step count relate to my body battery levels and energy throughout the day?" + +**Weekly patterns:** +> "Do I have different health patterns on weekdays vs weekends? Compare my sleep, activity, and stress." + +### Advanced Analysis + +**Custom time periods:** +> "Compare my health metrics from the first week of December vs the last week. What changed?" + +**Specific insights:** +> "What days did I have the best training readiness scores? What factors contributed to those high scores?" + +**Data-driven recommendations:** +> "Based on my health data patterns, what recommendations do you have for improving my recovery and performance?" + +## ๐Ÿ“Š Example Claude Conversation + +**You:** "What health data do I have available?" + +**Claude:** Uses `explore_database_structure()` and shows available tables and data ranges. + +**You:** "Analyze my sleep over the last 2 weeks" + +**Claude:** Uses `execute_sql_query()` with: +```sql +SELECT + metric_date, + sleep_duration_hours, + deep_sleep_percentage, + rem_sleep_percentage, + light_sleep_percentage +FROM daily_health_metrics +WHERE metric_date >= date('now', '-14 days') + AND sleep_duration_hours IS NOT NULL +ORDER BY metric_date +``` + +**Claude:** Provides analysis like: +- Average sleep duration: 7.3 hours +- Deep sleep average: 22% +- Trend: Sleep duration improving over time +- Best sleep: December 15th (8.2 hours, 28% deep) + +**You:** "What correlates with my best sleep days?" + +**Claude:** Analyzes multiple factors and finds patterns like: +- Lower stress days (< 25) correlate with better sleep +- Days with 8,000+ steps show 15% more deep sleep +- Workout days followed by better sleep quality + +## ๐Ÿ”ง Troubleshooting + +### MCP Server Issues + +**Claude shows no MCP connection:** +```bash +# Test server manually +garmy-mcp server --database health.db --verbose + +# Check database exists and is readable +ls -la health.db +garmy-mcp info --database health.db +``` + +**JSON configuration errors:** +```bash +# Validate JSON syntax +cat ~/.config/Claude/claude_desktop_config.json | python -m json.tool +``` + +### Data Issues + +**No data available:** +```bash +# Check if sync worked +garmy-sync --db-path health.db status + +# Re-sync if needed +garmy-sync --db-path health.db sync --last-days 7 +``` + +**Missing specific metrics:** +```bash +# Check specific tables +sqlite3 health.db "SELECT COUNT(*) FROM daily_health_metrics WHERE sleep_duration_hours IS NOT NULL;" +``` + +## ๐ŸŽฏ Next Steps + +- **[Database Schema](database-schema.md)** - Understand your data structure +- **[MCP Server Guide](mcp-server-guide.md)** - Advanced MCP configuration +- **[LocalDB Guide](localdb-guide.md)** - Advanced sync operations +- **[Claude Desktop Integration](claude-desktop-integration.md)** - Detailed Claude setup + +## ๐Ÿ’ก Pro Tips + +1. **Regular syncing:** Set up daily sync with `garmy-sync sync --last-days 1` +2. **Data exploration:** Start with `explore_database_structure()` to understand your data +3. **Specific queries:** Be specific about time ranges and metrics for better analysis +4. **Multiple perspectives:** Ask Claude to analyze from different angles (weekly patterns, correlations, trends) +5. **Actionable insights:** Ask for recommendations based on your data patterns \ No newline at end of file diff --git a/docs/mcp-server-guide.md b/docs/mcp-server-guide.md index c578e6a..020fd7b 100644 --- a/docs/mcp-server-guide.md +++ b/docs/mcp-server-guide.md @@ -370,7 +370,7 @@ garmy-mcp server --database health.db \ ## ๐Ÿ”— Related Documentation +- **[MCP Usage Example](mcp-example.md)** - Complete walkthrough from sync to AI analysis โญ - **[Claude Desktop Integration](claude-desktop-integration.md)** - Detailed Claude setup -- **[MCP Tools Reference](mcp-tools-reference.md)** - Complete tool documentation - **[Database Schema](database-schema.md)** - Understanding the data structure - **[LocalDB Guide](localdb-guide.md)** - Setting up local data storage \ No newline at end of file diff --git a/docs/quick-start.md b/docs/quick-start.md index 17d3da9..92d688a 100644 --- a/docs/quick-start.md +++ b/docs/quick-start.md @@ -1,10 +1,10 @@ # Quick Start Guide -Get up and running with Garmy in just a few minutes. +Get up and running with Garmy in minutes. ## ๐Ÿš€ Installation -### Basic Installation +### Standard Installation ```bash pip install garmy ``` @@ -14,23 +14,16 @@ pip install garmy # For local database functionality pip install garmy[localdb] -# For MCP server functionality +# For MCP server functionality (AI assistants) pip install garmy[mcp] # For everything pip install garmy[all] ``` -### Development Installation -```bash -git clone https://github.com/bes-dev/garmy.git -cd garmy -pip install -e ".[dev]" -``` - -## ๐ŸŽฏ Basic Usage +## ๐Ÿ”ง Basic Setup -### 1. Simple API Access +### 1. Basic API Usage ```python from garmy import AuthClient, APIClient @@ -44,99 +37,42 @@ auth_client.login("your_email@garmin.com", "your_password") # Get today's training readiness readiness = api_client.metrics.get('training_readiness').get() -print(f"Training Readiness Score: {readiness[0].score}/100") +print(f"Training Readiness Score: {readiness.score}/100") -# Get sleep data +# Get sleep data for specific date sleep_data = api_client.metrics.get('sleep').get('2023-12-01') -print(f"Sleep Score: {sleep_data[0].overall_sleep_score}") +print(f"Sleep Score: {sleep_data.sleep_duration_hours}") ``` -### 2. Local Database Storage +### 2. Local Database Setup ```bash -# Sync recent health data +# Sync recent health data to local database garmy-sync sync --last-days 7 # Check sync status garmy-sync status ``` -```python -from garmy.localdb import SyncManager -from datetime import date, timedelta - -# Initialize sync manager -sync_manager = SyncManager(db_path="my_health.db") -sync_manager.initialize("email@garmin.com", "password") - -# Sync data -end_date = date.today() -start_date = end_date - timedelta(days=7) -stats = sync_manager.sync_range(user_id=1, start_date=start_date, end_date=end_date) - -print(f"Synced: {stats['completed']} records") -``` - ### 3. AI Assistant Integration ```bash # Start MCP server for AI assistants garmy-mcp server --database health.db -# Get database info +# Show database info garmy-mcp info --database health.db - -# Show configuration examples -garmy-mcp config ``` -## ๐Ÿ”ง Configuration - -### Environment Variables -```bash -# For MCP server -export GARMY_DB_PATH="/path/to/health.db" - -# For API access (optional) -export GARMIN_EMAIL="your_email@garmin.com" -export GARMIN_PASSWORD="your_password" -``` - -### Claude Desktop Integration -Add to `~/.claude_desktop_config.json`: - -```json -{ - "mcpServers": { - "garmy-localdb": { - "command": "garmy-mcp", - "args": ["server", "--database", "/path/to/health.db", "--max-rows", "500"] - } - } -} -``` - -## ๐Ÿ“Š Available Health Metrics - -| Metric | Description | Example Usage | -|--------|-------------|---------------| -| `sleep` | Sleep tracking data | `api_client.metrics.get('sleep').get()` | -| `heart_rate` | Heart rate statistics | `api_client.metrics.get('heart_rate').get()` | -| `stress` | Stress measurements | `api_client.metrics.get('stress').get()` | -| `steps` | Daily step counts | `api_client.metrics.get('steps').list(days=7)` | -| `training_readiness` | Training readiness | `api_client.metrics.get('training_readiness').get()` | -| `body_battery` | Body battery levels | `api_client.metrics.get('body_battery').get()` | -| `activities` | Workouts and activities | `api_client.metrics.get('activities').list(days=30)` | - -## ๐Ÿ”— Next Steps +## ๐Ÿ“– Next Steps -- **[LocalDB Guide](localdb-guide.md)** - Learn about local data storage -- **[MCP Server Guide](mcp-server-guide.md)** - Set up AI assistant integration -- **[API Reference](api-reference.md)** - Explore all available methods -- **[Examples](examples/basic-usage.md)** - See more usage patterns +- **[LocalDB Guide](localdb-guide.md)** - Set up local data storage +- **[MCP Server Guide](mcp-server-guide.md)** - Integrate with AI assistants +- **[Database Schema](database-schema.md)** - Understand your data +- **[Examples](../examples/)** - See more examples -## ๐Ÿ†˜ Getting Help +## ๐Ÿ†˜ Need Help? -- **[GitHub Issues](https://github.com/bes-dev/garmy/issues)** - Report bugs or request features -- **[Documentation](README.md)** - Complete documentation index -- **[Contributing](contributing.md)** - Help improve Garmy \ No newline at end of file +- Check the [examples directory](../examples/) for comprehensive usage examples +- Review the [database schema](database-schema.md) to understand available data +- See [Claude Desktop integration](claude-desktop-integration.md) for AI setup \ No newline at end of file From 4f30e48ff5cafbb177c8f0d66060882f43adc971 Mon Sep 17 00:00:00 2001 From: bes-dev Date: Mon, 30 Jun 2025 19:03:56 +0400 Subject: [PATCH 7/8] clean code --- README.md | 16 ++++++---------- examples/README.md | 14 +++++--------- 2 files changed, 11 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index 05b66cc..0c5cf51 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ An AI-powered Python library for Garmin Connect API designed specifically for he - **๐Ÿ’พ Local Database**: Built-in SQLite database for local health data storage and sync - **๐Ÿ–ฅ๏ธ CLI Tools**: Command-line interfaces for data synchronization and MCP server management - **๐Ÿค– MCP Server**: Model Context Protocol server for AI assistant integration (Claude Desktop) -- **โšก Real-time Processing**: Async/await support for high-performance AI applications +- **โšก High Performance**: Optimized for high-performance AI applications - **๐Ÿ›ก๏ธ Type Safe**: Full type hints and runtime validation for reliable AI workflows - **๐Ÿ”„ Auto-Discovery**: Automatic metric registration and API endpoint discovery @@ -167,18 +167,15 @@ Garmy consists of three main modules: ```python # Build AI health monitoring agents from garmy import APIClient, AuthClient -import asyncio -async def health_agent(): +def health_agent(): auth_client = AuthClient() api_client = APIClient(auth_client=auth_client) - # Login and get multiple metrics concurrently - await auth_client.login_async(email, password) - sleep_task = api_client.metrics.get('sleep').get_async() - readiness_task = api_client.metrics.get('training_readiness').get_async() - - sleep_data, readiness_data = await asyncio.gather(sleep_task, readiness_task) + # Login and get metrics + auth_client.login(email, password) + sleep_data = api_client.metrics.get('sleep').get() + readiness_data = api_client.metrics.get('training_readiness').get() # AI analysis logic here return analyze_health_trends(sleep_data, readiness_data) @@ -289,7 +286,6 @@ Garmy was heavily inspired by the excellent [garth](https://github.com/matin/gar - Enhanced modularity and extensibility - Full type safety with mypy compliance -- Comprehensive async/await support - Auto-discovery system for metrics - Local database integration - MCP server for AI assistants diff --git a/examples/README.md b/examples/README.md index 7bf52cd..d5f3a8d 100644 --- a/examples/README.md +++ b/examples/README.md @@ -301,16 +301,12 @@ for day in week_data: print("Available metrics:", list(api_client.metrics.keys())) ``` -### Async Operations +### Multiple Metrics Access ```python -import asyncio - -async def get_multiple_metrics(): - # Fetch multiple metrics concurrently - sleep_task = api_client.metrics.get('sleep').get_async() - hrv_task = api_client.metrics.get('hrv').get_async() - - sleep_data, hrv_data = await asyncio.gather(sleep_task, hrv_task) +# Access multiple metrics +def get_multiple_metrics(): + sleep_data = api_client.metrics.get('sleep').get() + hrv_data = api_client.metrics.get('hrv').get() return sleep_data, hrv_data ``` From 7e0ca522059df3c60d0e25da7351b90be55a0c86 Mon Sep 17 00:00:00 2001 From: bes-dev Date: Mon, 30 Jun 2025 19:08:29 +0400 Subject: [PATCH 8/8] clean code --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 0c5cf51..1f360d6 100644 --- a/README.md +++ b/README.md @@ -126,7 +126,7 @@ Garmy consists of three main modules: ### ๐Ÿ”Œ **Core Library** - **Garmin Connect API**: Type-safe access to all health metrics -- **Async Support**: High-performance concurrent operations +- **High Performance**: Optimized concurrent operations - **Auto-Discovery**: Automatic endpoint and metric detection ### ๐Ÿ’พ **LocalDB Module**