diff --git a/.gitignore b/.gitignore index e93683a..80d5b60 100644 --- a/.gitignore +++ b/.gitignore @@ -21,6 +21,11 @@ Thumbs.db *.swp *.swo +# Build / dist +dist/ +build/ +*.egg-info/ + # Env .env .env.* diff --git a/README.md b/README.md index a2ffdc0..a30dced 100644 --- a/README.md +++ b/README.md @@ -24,20 +24,33 @@ https://github.com/user-attachments/assets/4f194751-f81f-473f-aa35-3203a7c414d6 ## Quick Start +### Option A: pip install (recommended) + +```bash +pip install claude-code-visualizer +claude-viz --open +``` + +This generates a single self-contained HTML file (`claude-code-viz.html`) that works offline — no server needed. Just open it in your browser. + +```bash +# Options +claude-viz -o my-report.html # Custom output path +claude-viz --claude-dir ~/path # Custom .claude directory +claude-viz --open # Auto-open in browser +``` + +### Option B: Clone and run + ```bash -# 1. Clone git clone git@github.com:aybidi/claude-code-visualizer.git cd claude-code-visualizer - -# 2. Generate your data (reads from ~/.claude/) python3 process_data.py - -# 3. Serve locally and open python3 -m http.server 8765 # Visit http://localhost:8765 ``` -That's it. No dependencies, no `npm install`, no build step. +No dependencies, no `npm install`, no build step. ## Requirements diff --git a/claude-code-viz.html b/claude-code-viz.html new file mode 100644 index 0000000..827f483 --- /dev/null +++ b/claude-code-viz.html @@ -0,0 +1,1400 @@ + + + + + + Your Claude Code Story + + + + +
Loading your data...
+ + +
+ + +
+
claude code analytics
+

your claude code story

+

+
+
+
0
+
sessions
+
+
+
0
+
messages
+
+
+
0
+
total tokens
+
+
+
+
scroll to explore
+
+ + +
+ 01 +

the timeline

+

your activity day by day

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 02 +

your projects

+

what you've been building

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 03 +

the tool belt

+

how claude helped you code

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 04 +

your rhythm

+

when the magic happens

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 05 +

your intentions

+

what you were trying to accomplish

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 06 +

how it went

+

outcomes, friction, and what worked

+
+
+
+
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+
+
+
+
+
+
+ + +
+ + + + + diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..927312f --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,33 @@ +[build-system] +requires = ["setuptools>=68.0"] +build-backend = "setuptools.build_meta" + +[project] +name = "claude-code-visualizer" +version = "0.1.0" +description = "Generate a self-contained HTML visualization of your Claude Code usage" +readme = "README.md" +license = {text = "MIT"} +requires-python = ">=3.7" +authors = [{name = "aybidi"}] +keywords = ["claude", "claude-code", "visualization", "analytics"] +classifiers = [ + "Development Status :: 4 - Beta", + "Environment :: Console", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Programming Language :: Python :: 3", + "Topic :: Software Development :: Libraries :: Python Modules", +] + +[project.scripts] +claude-viz = "claude_code_visualizer.cli:main" + +[project.urls] +Homepage = "https://github.com/aybidi/claude-code-visualizer" + +[tool.setuptools.packages.find] +where = ["src"] + +[tool.setuptools.package-data] +claude_code_visualizer = ["assets/*"] diff --git a/src/claude_code_visualizer/__init__.py b/src/claude_code_visualizer/__init__.py new file mode 100644 index 0000000..0cf7d2e --- /dev/null +++ b/src/claude_code_visualizer/__init__.py @@ -0,0 +1,3 @@ +"""Claude Code Visualizer - Generate a self-contained HTML visualization of your Claude Code usage.""" + +__version__ = "0.1.0" diff --git a/src/claude_code_visualizer/__main__.py b/src/claude_code_visualizer/__main__.py new file mode 100644 index 0000000..7ea0c1a --- /dev/null +++ b/src/claude_code_visualizer/__main__.py @@ -0,0 +1,3 @@ +from claude_code_visualizer.cli import main + +main() diff --git a/src/claude_code_visualizer/assets/d3.v7.min.js b/src/claude_code_visualizer/assets/d3.v7.min.js new file mode 100644 index 0000000..33bb880 --- /dev/null +++ b/src/claude_code_visualizer/assets/d3.v7.min.js @@ -0,0 +1,2 @@ +// https://d3js.org v7.9.0 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Loading your data...
+ + +
+ + +
+
claude code analytics
+

your claude code story

+

+
+
+
0
+
sessions
+
+
+
0
+
messages
+
+
+
0
+
total tokens
+
+
+
+
scroll to explore
+
+ + +
+ 01 +

the timeline

+

your activity day by day

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 02 +

your projects

+

what you've been building

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 03 +

the tool belt

+

how claude helped you code

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 04 +

your rhythm

+

when the magic happens

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 05 +

your intentions

+

what you were trying to accomplish

+
+
+
+
+
+
+
+
+
+
+
+ + +
+ 06 +

how it went

+

outcomes, friction, and what worked

+
+
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+
+
+
+
+ + +
+ + + + + diff --git a/src/claude_code_visualizer/cli.py b/src/claude_code_visualizer/cli.py new file mode 100644 index 0000000..d828c77 --- /dev/null +++ b/src/claude_code_visualizer/cli.py @@ -0,0 +1,54 @@ +"""CLI entry point for claude-code-visualizer.""" + +import argparse +import sys +from pathlib import Path + + +def main(): + parser = argparse.ArgumentParser( + prog="claude-viz", + description="Generate a self-contained HTML visualization of your Claude Code usage", + ) + parser.add_argument( + "-o", "--output", + default="claude-code-viz.html", + help="Output HTML file path (default: claude-code-viz.html)", + ) + parser.add_argument( + "--claude-dir", + default=None, + help="Path to .claude directory (default: ~/.claude)", + ) + parser.add_argument( + "--open", action="store_true", + help="Open the generated HTML in the default browser", + ) + args = parser.parse_args() + + from claude_code_visualizer.data import generate_data + from claude_code_visualizer.renderer import render_html + + print("Processing Claude Code session data...") + data = generate_data(claude_dir=args.claude_dir) + + overview = data.get("overview", {}) + print(f" {overview.get('totalSessions', 0)} sessions, " + f"{overview.get('totalMessages', 0)} messages, " + f"{len(data.get('projects', []))} projects") + + if overview.get("totalMessages", 0) == 0: + print("\nNo Claude Code data found. Make sure you have session history in ~/.claude/") + sys.exit(1) + + html = render_html(data) + + output_path = Path(args.output).resolve() + output_path.write_text(html, encoding="utf-8") + size_kb = output_path.stat().st_size / 1024 + print(f"\nGenerated: {output_path} ({size_kb:.0f} KB)") + print("Open in your browser — no server needed.") + + if args.open: + import webbrowser + webbrowser.open(f"file://{output_path}") diff --git a/src/claude_code_visualizer/data.py b/src/claude_code_visualizer/data.py new file mode 100644 index 0000000..c241d65 --- /dev/null +++ b/src/claude_code_visualizer/data.py @@ -0,0 +1,393 @@ +"""Process Claude Code session data into visualization-ready dict.""" + +import json +import os +from collections import Counter, defaultdict +from datetime import datetime, timezone +from pathlib import Path + + +def parse_jsonl(filepath): + """Read a JSONL file, yielding parsed records.""" + with open(filepath) as f: + for line in f: + line = line.strip() + if not line: + continue + try: + yield json.loads(line) + except json.JSONDecodeError: + continue + + +def parse_timestamp(ts): + """Parse a timestamp from various formats into a datetime.""" + if not ts: + return None + try: + if isinstance(ts, str): + return datetime.fromisoformat(ts.replace("Z", "+00:00")) + elif isinstance(ts, (int, float)): + return datetime.fromtimestamp(ts / 1000, tz=timezone.utc) + except (ValueError, OSError, OverflowError): + return None + return None + + +def _process_all_data(claude_dir): + """Process all Claude Code session data from the given directory.""" + projects_dir = claude_dir / "projects" + messages = [] + + if not projects_dir.exists(): + return messages + + for project_dir in sorted(projects_dir.iterdir()): + if not project_dir.is_dir(): + continue + for jsonl_file in project_dir.glob("*.jsonl"): + for record in parse_jsonl(jsonl_file): + record["_project_dir"] = project_dir.name + record["_session_file"] = jsonl_file.stem + messages.append(record) + + # Derive project names from cwd fields in user messages + project_name_map = {} + for msg in messages: + if msg.get("type") == "user" and "cwd" in msg: + pdir = msg.get("_project_dir", "") + if pdir and pdir not in project_name_map: + project_name_map[pdir] = os.path.basename(msg["cwd"]) + + # Assign human-readable project names + for msg in messages: + pdir = msg.get("_project_dir", "") + if pdir in project_name_map: + msg["_project_name"] = project_name_map[pdir] + else: + parts = pdir.split("-") + skip = {"", "Users", "Documents", "Projects", "Desktop", "Code", + "repos", "src", "home", "var", "tmp"} + meaningful = [] + skip_next_as_username = False + for i, p in enumerate(parts): + if p == "Users": + skip_next_as_username = True + continue + if skip_next_as_username: + skip_next_as_username = False + continue + if p not in skip: + meaningful.append(p) + msg["_project_name"] = "-".join(meaningful) if meaningful else pdir + + return messages + + +def _load_insights(claude_dir): + """Load and aggregate data from /insights facets and session-meta.""" + usage_dir = claude_dir / "usage-data" + facets_dir = usage_dir / "facets" + meta_dir = usage_dir / "session-meta" + + facets = [] + if facets_dir.exists(): + for fp in facets_dir.glob("*.json"): + try: + with open(fp) as f: + facets.append(json.load(f)) + except (json.JSONDecodeError, OSError): + continue + + goal_counts = Counter() + outcomes = Counter() + helpfulness = Counter() + satisfaction = Counter() + friction = Counter() + success_factors = Counter() + session_types = Counter() + summaries = [] + + for fac in facets: + for g, c in fac.get("goal_categories", {}).items(): + goal_counts[g] += c + outcomes[fac.get("outcome", "unknown")] += 1 + helpfulness[fac.get("claude_helpfulness", "unknown")] += 1 + for s, c in fac.get("user_satisfaction_counts", {}).items(): + satisfaction[s] += c + for fr, c in fac.get("friction_counts", {}).items(): + friction[fr] += c + sf = fac.get("primary_success", "") + if sf and sf != "none": + success_factors[sf] += 1 + session_types[fac.get("session_type", "unknown")] += 1 + summaries.append({ + "outcome": fac.get("outcome", "unknown"), + "summary": fac.get("brief_summary", ""), + "helpfulness": fac.get("claude_helpfulness", "unknown"), + "sessionId": fac.get("session_id", ""), + }) + + metas = [] + if meta_dir.exists(): + for fp in meta_dir.glob("*.json"): + try: + with open(fp) as f: + metas.append(json.load(f)) + except (json.JSONDecodeError, OSError): + continue + + total_lines_added = sum(m.get("lines_added", 0) for m in metas) + total_lines_removed = sum(m.get("lines_removed", 0) for m in metas) + total_files_modified = sum(m.get("files_modified", 0) for m in metas) + + languages = Counter() + for m in metas: + for lang, c in m.get("languages", {}).items(): + languages[lang] += c + + return { + "goals": [{"name": n, "count": c} for n, c in goal_counts.most_common(12)], + "outcomes": [{"name": n, "count": c} for n, c in outcomes.most_common()], + "helpfulness": [{"name": n, "count": c} for n, c in helpfulness.most_common()], + "satisfaction": [{"name": n, "count": c} for n, c in satisfaction.most_common()], + "friction": [{"name": n, "count": c} for n, c in friction.most_common()], + "successFactors": [{"name": n, "count": c} for n, c in success_factors.most_common()], + "sessionTypes": [{"name": n, "count": c} for n, c in session_types.most_common()], + "summaries": summaries, + "linesAdded": total_lines_added, + "linesRemoved": total_lines_removed, + "filesModified": total_files_modified, + "languages": [{"name": n, "count": c} for n, c in languages.most_common()], + "totalFacets": len(facets), + } + + +def _compute_stats(messages, claude_dir): + """Compute all statistics for the visualization.""" + user_msgs = [m for m in messages + if m.get("type") == "user" and not m.get("isMeta")] + assistant_msgs = [m for m in messages if m.get("type") == "assistant"] + all_typed = user_msgs + assistant_msgs + + # Overview + total_input = total_output = total_cache_read = total_cache_write = 0 + for msg in assistant_msgs: + u = msg.get("message", {}).get("usage", {}) + total_input += u.get("input_tokens", 0) + total_output += u.get("output_tokens", 0) + total_cache_read += u.get("cache_read_input_tokens", 0) + total_cache_write += u.get("cache_creation_input_tokens", 0) + + timestamps = sorted(filter(None, (parse_timestamp(m.get("timestamp")) + for m in all_typed))) + first_date = timestamps[0] if timestamps else None + last_date = timestamps[-1] if timestamps else None + + session_ids = {m["sessionId"] for m in all_typed if "sessionId" in m} + + overview = { + "totalSessions": len(session_ids), + "totalMessages": len(all_typed), + "totalUserMessages": len(user_msgs), + "totalAssistantMessages": len(assistant_msgs), + "totalInputTokens": total_input, + "totalOutputTokens": total_output, + "totalCacheRead": total_cache_read, + "totalCacheWrite": total_cache_write, + "totalTokens": total_input + total_output + total_cache_read + total_cache_write, + "firstDate": first_date.isoformat() if first_date else None, + "lastDate": last_date.isoformat() if last_date else None, + "daySpan": (last_date - first_date).days if first_date and last_date else 0, + } + + # Daily Timeline + daily = defaultdict(lambda: { + "messages": 0, "userMessages": 0, "assistantMessages": 0, + "inputTokens": 0, "outputTokens": 0, "sessions": set() + }) + + for msg in all_typed: + dt = parse_timestamp(msg.get("timestamp")) + if not dt: + continue + day = dt.strftime("%Y-%m-%d") + daily[day]["messages"] += 1 + if msg.get("type") == "user": + daily[day]["userMessages"] += 1 + else: + daily[day]["assistantMessages"] += 1 + u = msg.get("message", {}).get("usage", {}) + daily[day]["inputTokens"] += u.get("input_tokens", 0) + daily[day]["outputTokens"] += u.get("output_tokens", 0) + sid = msg.get("sessionId") + if sid: + daily[day]["sessions"].add(sid) + + timeline = [] + for day in sorted(daily): + d = daily[day] + timeline.append({ + "date": day, + "messages": d["messages"], + "userMessages": d["userMessages"], + "assistantMessages": d["assistantMessages"], + "inputTokens": d["inputTokens"], + "outputTokens": d["outputTokens"], + "sessions": len(d["sessions"]), + }) + + # Projects + proj = defaultdict(lambda: { + "messages": 0, "userMessages": 0, "sessions": set(), + "inputTokens": 0, "outputTokens": 0, "tools": Counter() + }) + + for msg in all_typed: + pname = msg.get("_project_name", "Unknown") + proj[pname]["messages"] += 1 + if msg.get("type") == "user": + proj[pname]["userMessages"] += 1 + sid = msg.get("sessionId") + if sid: + proj[pname]["sessions"].add(sid) + if msg.get("type") == "assistant": + u = msg.get("message", {}).get("usage", {}) + proj[pname]["inputTokens"] += u.get("input_tokens", 0) + proj[pname]["outputTokens"] += u.get("output_tokens", 0) + for block in (msg.get("message", {}).get("content") or []): + if isinstance(block, dict) and block.get("type") == "tool_use": + proj[pname]["tools"][block.get("name", "?")] += 1 + + projects = sorted( + [{"name": n, "messages": s["messages"], "userMessages": s["userMessages"], + "sessions": len(s["sessions"]), + "inputTokens": s["inputTokens"], "outputTokens": s["outputTokens"], + "topTools": s["tools"].most_common(5)} + for n, s in proj.items()], + key=lambda x: x["messages"], reverse=True + ) + + # Tool Usage + tool_counter = Counter() + tool_by_project = defaultdict(Counter) + + for msg in assistant_msgs: + pname = msg.get("_project_name", "Unknown") + for block in (msg.get("message", {}).get("content") or []): + if isinstance(block, dict) and block.get("type") == "tool_use": + name = block.get("name", "?") + tool_counter[name] += 1 + tool_by_project[name][pname] += 1 + + tools = [{"name": n, "count": c, + "topProjects": tool_by_project[n].most_common(3)} + for n, c in tool_counter.most_common()] + + # Models + model_counter = Counter() + model_timeline = defaultdict(Counter) + + for msg in assistant_msgs: + model = msg.get("message", {}).get("model", "unknown") + model_counter[model] += 1 + dt = parse_timestamp(msg.get("timestamp")) + if dt: + week = dt.strftime("%Y-W%W") + model_timeline[week][model] += 1 + + models = [{"name": n, "count": c} for n, c in model_counter.most_common()] + + models_over_time = [] + for week in sorted(model_timeline): + entry = {"week": week} + for m in model_counter: + entry[m] = model_timeline[week].get(m, 0) + models_over_time.append(entry) + + # Hourly / Weekly / Heatmap + hourly = defaultdict(int) + dow = defaultdict(int) + heatmap = defaultdict(int) + + for msg in all_typed: + dt = parse_timestamp(msg.get("timestamp")) + if not dt: + continue + hourly[dt.hour] += 1 + dow[dt.weekday()] += 1 + heatmap[f"{dt.weekday()}-{dt.hour}"] += 1 + + hourly_data = [{"hour": h, "count": hourly[h]} for h in range(24)] + weekly_data = [{"day": d, "count": dow[d]} for d in range(7)] + heatmap_data = [{"day": d, "hour": h, "count": heatmap.get(f"{d}-{h}", 0)} + for d in range(7) for h in range(24)] + + # Session Stats + session_times = defaultdict(list) + for msg in all_typed: + sid = msg.get("sessionId") + dt = parse_timestamp(msg.get("timestamp")) + if sid and dt: + session_times[sid].append(dt) + + durations = [] + msg_counts = [] + for sid, times in session_times.items(): + times.sort() + if len(times) >= 2: + dur = (times[-1] - times[0]).total_seconds() / 60 + durations.append(round(dur, 1)) + msg_counts.append(len(times)) + + bins = [0, 5, 15, 30, 60, 120, 360, float("inf")] + labels = ["<5m", "5-15m", "15-30m", "30m-1h", "1-2h", "2-6h", "6h+"] + hist = [0] * len(labels) + for d in durations: + for i in range(len(bins) - 1): + if bins[i] <= d < bins[i + 1]: + hist[i] += 1 + break + + session_stats = { + "durations": [{"label": l, "count": c} for l, c in zip(labels, hist)], + "avgDuration": round(sum(durations) / len(durations), 1) if durations else 0, + "maxDuration": round(max(durations), 1) if durations else 0, + "avgMessages": round(sum(msg_counts) / len(msg_counts), 1) if msg_counts else 0, + "maxMessages": max(msg_counts) if msg_counts else 0, + } + + # Insights + insights = _load_insights(claude_dir) + + return { + "overview": overview, + "timeline": timeline, + "projects": projects, + "tools": tools, + "models": models, + "modelsOverTime": models_over_time, + "hourly": hourly_data, + "weekly": weekly_data, + "heatmap": heatmap_data, + "sessionStats": session_stats, + "insights": insights, + } + + +def generate_data(claude_dir=None): + """Generate visualization data from Claude Code session history. + + Args: + claude_dir: Path to .claude directory. Defaults to ~/.claude. + + Returns: + dict with all visualization data. + """ + if claude_dir is None: + claude_dir = Path.home() / ".claude" + else: + claude_dir = Path(claude_dir) + + messages = _process_all_data(claude_dir) + return _compute_stats(messages, claude_dir) diff --git a/src/claude_code_visualizer/renderer.py b/src/claude_code_visualizer/renderer.py new file mode 100644 index 0000000..81290bb --- /dev/null +++ b/src/claude_code_visualizer/renderer.py @@ -0,0 +1,36 @@ +"""Assemble a self-contained HTML file with data and D3 inlined.""" + +import json +from pathlib import Path + +ASSETS_DIR = Path(__file__).parent / "assets" + + +def render_html(data): + """Produce a self-contained HTML string with data and D3 inlined. + + Args: + data: dict from generate_data() + + Returns: + str: Complete HTML document ready to open in a browser. + """ + template = (ASSETS_DIR / "template.html").read_text(encoding="utf-8") + d3_code = (ASSETS_DIR / "d3.v7.min.js").read_text(encoding="utf-8") + + # Inline D3 + template = template.replace( + "", + "" + ) + + # Inline data — sanitize sequences in JSON to prevent breaking the HTML + data_json = json.dumps(data, separators=(",", ":"), default=str) + data_json = data_json.replace("", "<\\/script>") + + template = template.replace( + "const __CLAUDE_VIZ_DATA__ = null; // DATA_MARKER", + "const __CLAUDE_VIZ_DATA__ = " + data_json + ";" + ) + + return template