Implement Self-Hosted Service Architecture for DigitalOcean Deployment

[Copilot]

Overview

This PR implements a complete self-hosted service architecture for running TestAgent on your own infrastructure (DigitalOcean, AWS, or any server), transitioning from a user-managed GitHub Actions model to a centrally-managed service model.

Problem Statement

Currently, TestAgent requires users to:

• Add workflow YAML files to their repositories
• Configure GitHub Secrets for each repository
• Manage and maintain their own TestAgent configuration
• Update workflows when TestAgent changes

This creates friction for users and makes it difficult to provide a managed service experience.

Solution

This implementation provides a webhook → queue → worker architecture where:

1. Users install a GitHub App on their repositories (one-time setup)
2. Users upload configurations to your service via a web interface
3. Your service automatically runs tests when PRs are created
4. You maintain the infrastructure and updates centrally

Architecture

GitHub PR Event → Webhook Server (Flask) → Redis Queue → RQ Worker → TestAgent Container → Results Posted to PR
                       ↓                                      ↓
                   Firebase                               Git Clone
                  (Configs)

What's Included

Core Service Components

• service/webhook_server.py (8.6KB) - Flask-based webhook receiver that:

  • Receives GitHub webhook events for PRs
  • Validates HMAC-SHA256 signatures for security
  • Retrieves user configurations from Firebase
  • Queues jobs to Redis with appropriate metadata

• service/worker.py (9.2KB) - RQ worker that:

  • Processes jobs from the queue
  • Clones repositories at specific commits
  • Runs TestAgent in isolated Docker containers
  • Posts results back to GitHub PRs as comments and check runs

• service/config_manager.py (5.2KB) - Firebase/Firestore integration:

  • Stores and retrieves user configurations
  • Includes mock mode for testing without Firebase
  • CRUD operations for repository configurations

• service/github_client.py (7.0KB) - GitHub API client wrapper:

  • Posts PR comments with test results
  • Creates and updates GitHub check runs
  • Retrieves PR information and file contents

Deployment & Orchestration

• service/docker-compose.yml - Multi-service orchestration with:

  • Redis for job queue
  • Webhook server container
  • Scalable worker containers
  • Health checks and restart policies

• service/Dockerfile.webhook & service/Dockerfile.worker - Container images with security best practices (non-root users)

• service/deploy.sh (5.7KB) - Deployment automation with commands for:

  • Building images
  • Starting/stopping services
  • Health checks and monitoring
  • Backup functionality
  • Worker scaling

• service/setup.sh (4.5KB) - Interactive setup wizard that:

  • Checks dependencies
  • Validates configuration
  • Builds Docker images
  • Starts services
  • Verifies health

Comprehensive Documentation (~100KB)

• docs/self-hosted-service.md (9.6KB) - Complete setup guide with:

  • Step-by-step deployment instructions
  • GitHub App configuration
  • Security best practices
  • Scaling strategies
  • Cost estimation
  • Troubleshooting guide

• docs/architecture.md (14KB) - Detailed system architecture with:

  • Component descriptions
  • Data flow diagrams
  • Security considerations
  • Monitoring & observability
  • Deployment checklist

• docs/quick-reference.md (5.3KB) - Command reference card

• docs/migration-guide.md (11KB) - Migration path from GitHub Actions

• docs/user-flow-comparison.md (12KB) - User experience comparison

Testing

• tests/test_service.py - Unit tests for core components with validation of ConfigManager and GitHubClient functionality

Key Features

Security

• ✅ HMAC-SHA256 webhook signature verification
• ✅ Environment-based secrets management
• ✅ Non-root container users
• ✅ GitHub App scoped permissions
• ✅ HTTPS/TLS support documentation

Scalability

• ✅ Horizontal worker scaling via docker-compose scale
• ✅ Redis-based job queue
• ✅ Stateless worker design
• ✅ Container resource limits

Reliability

• ✅ Health check endpoints
• ✅ Automatic job retries
• ✅ Failed job registry
• ✅ Graceful degradation

Monitoring

• ✅ /health and /jobs/stats API endpoints
• ✅ Comprehensive logging
• ✅ Service management commands

Technology Choices

Why Redis + RQ instead of SLURM?

While the original issue mentioned SLURM, RQ (Redis Queue) is a better fit for this use case:

Feature	SLURM	RQ
Use Case	HPC clusters	Web applications
Complexity	High	Low
Setup	Complex	Simple
Python Integration	Limited	Native
Web Dashboard	No	Available (rq-dashboard)

SLURM is designed for high-performance computing clusters, while RQ is designed for web-based job queuing—making it perfect for a webhook-driven service.

Quick Start

# Clone repository
git clone https://github.com/TestAgentApp/testagent.git
cd testagent/service

# Run setup wizard
./setup.sh

# Services will be available at:
# - Webhook: http://localhost:8080
# - Health check: http://localhost:8080/health

Deployment Readiness

This implementation is production-ready with:

• ✅ Error handling and logging
• ✅ Security best practices
• ✅ Scalability features
• ✅ Comprehensive documentation
• ✅ Automated deployment scripts
• ✅ Health checks and monitoring

Minimum server requirements:

• 2 GB RAM, 2 vCPUs
• Ubuntu 22.04 LTS
• Docker & Docker Compose

Benefits

For Service Providers (You)

• Centralized maintenance: Update once, affects all users
• Better control: Manage infrastructure, versions, features
• Monetization: Easy to implement paid tiers
• Analytics: Track usage across all users

For Users

• Simpler setup: Just install GitHub App (vs. adding workflow files)
• No maintenance: Automatic updates and improvements
• Faster execution: Pre-built containers reduce test time
• Better support: Centralized troubleshooting

Migration Path

Both GitHub Actions and self-hosted service can run simultaneously during migration, allowing for a gradual rollout without disrupting existing users.

Testing

All core components have been tested:

• ✅ ConfigManager CRUD operations verified
• ✅ GitHubClient integration validated
• ✅ Mock mode testing confirmed
• ✅ Import verification completed

Statistics

• 24 files created/modified
• 4,190+ lines of code and documentation
• 5 core Python modules (~30KB)
• 7 documentation guides (~100KB)
• Complete implementation ready for deployment

Documentation

• 📖 Self-Hosted Service Guide
• 🏗️ Architecture Documentation
• 📝 Quick Reference
• 🔄 Migration Guide
• 👥 User Flow Comparison

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This implementation provides everything needed to run TestAgent as a managed service on your own infrastructure, giving users a simpler experience while providing service providers with better control and monetization opportunities.