codemap-python 0.1.6

Local Python code analysis tool - understand architecture, dependencies, and call graphs

CodeMap

CodeMap is a pure local developer tool that analyzes Python codebases and provides:

• 📊 Architecture Analysis - Understand code structure, dependencies, and call graphs
• 🦺 Call Graph Extraction - Trace function/method calls across your codebase
• ⚠️ Risk Analysis - Identify complex code patterns and potential issues
• 📈 Symbol Indexing - Search and explore functions, classes, and methods
• 🌐 Local Web Dashboard - Visual code analysis interface
• 🔐 Privacy First - All analysis runs locally, no data leaves your machine

Requirements

• Python 3.10+
• pip (Python package manager)
• ~5 minutes to get started

Quick Start (3 Steps)

Step 1️⃣: Install CodeMap

# Install from PyPI (easiest)
pip install codemap-python

Verify installation:

codemap --help

You should see:

usage: codemap [-h] {analyze,dashboard,open,cache} ...

For developers: To modify source code or contribute, clone the repository:

git clone https://github.com/ADITYA-kus/codemap_ai.git
cd codemap_ai
pip install -e .

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Step 2️⃣: Analyze Your First Repository

IMPORTANT: The analyze command REQUIRES the --path argument pointing to a directory!

# Analyze the demo repo (takes 5-10 seconds)
codemap analyze --path demo_repo

Output: JSON analysis data

{
  "ok": true,
  "cache_dir": ".codemap_cache/...",
  "analysis_version": "2.2",
  "repo_dir": "demo_repo"
}

Analyze your own Python project:

codemap analyze --path /path/to/your/python/project

Analyze a GitHub repository:

codemap analyze --github https://github.com/owner/repo

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Step 3️⃣: View in Web Dashboard

# Start the web dashboard
codemap dashboard --port 8000

Open in browser:

http://127.0.0.1:8000

You'll see:

• List of analyzed repositories
• Call graphs
• Architecture metrics
• Risk analysis
• Symbol search

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Common Commands

Analyze Commands

# ⚠️ REQUIRED: Analyze needs --path argument!

# Analyze a local repository
codemap analyze --path <repo_directory>

# Analyze a GitHub repository (public)
codemap analyze --github https://github.com/owner/repo

# Analyze private GitHub repo (requires token)
codemap analyze --github https://github.com/owner/private-repo --token YOUR_GITHUB_TOKEN

# Force rebuild analysis (ignore cache)
codemap analyze --path <repo_directory> --rebuild

# Use API for detailed JSON output
codemap api analyze --path <repo_directory>

Dashboard Commands

# Start web dashboard (default: localhost:8000)
codemap dashboard --port 8000

# Start dashboard with auto-reload (development)
codemap dashboard --port 8000 --reload

# Open dashboard in browser
codemap open --port 8000

Cache Management

# 📋 List all analyzed repositories and their cache info
codemap cache list

# 📊 Show detailed cache information for a specific repository
codemap cache info --path <repo_directory>

# ⏱️ Set cache retention policy (automatically clean old caches)
codemap cache retention --path <repo_directory> --days 30 --yes

# 🧹 Preview what would be cleaned (safe, no deletion)
codemap cache sweep --dry-run

# 🧹 Actually clean up expired caches (requires --yes confirmation)
codemap cache sweep --yes

# 🗑️ Clear cache for a specific repository (preview first)
codemap cache clear --path <repo_directory> --dry-run

# 🗑️ Actually delete a repository's cache (requires --yes confirmation)
codemap cache clear --path <repo_directory> --yes

Cache Management Tips:

• ✅ Always use --dry-run first to preview changes
• ✅ Add --yes flag to skip confirmation (useful in scripts)
• ✅ Default retention is 14 days; adjust with --days <number>
• ✅ Cache is stored in: ~/.codemap_cache/ (varies by OS)
• ✅ Use cache list to see all cached repositories and their sizes

Get GitHub Token (for private repos):

1. Go to https://github.com/settings/tokens
2. Click "Generate new token" → "Generate new token (classic)"
3. Give it a name (e.g., "CodeMap")
4. Select repo scope (full control of private repos)
5. Copy the token and save it somewhere safe
6. Use in commands: --token ghp_xxxxx

Or pass token via stdin (more secure):

echo "YOUR_TOKEN" | codemap analyze --github https://github.com/owner/repo --token-stdin

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Directory Structure

This is the source code structure for developers. If you installed via pip, these files are automatically installed in your Python environment.

codemap_ai/  (source code)
├── README.md              # This file
├── cli.py                 # Command-line interface
├── security_utils.py      # Security & secret redaction
├── pyproject.toml         # Package configuration
├── analysis/              # Code analysis engine
│   ├── core/             # AST parsing, imports
│   ├── call_graph/       # Call graph building
│   ├── explain/          # Symbol metadata
│   ├── architecture/     # Dependency analysis
│   └── graph/            # Graph indexing
├── ui/                    # Web dashboard
│   ├── app.py            # FastAPI server
│   ├── templates/        # HTML templates
│   └── static/           # CSS, JavaScript
├── tests/                 # Test suite
└── demo_repo/            # Example repository

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Features Explained

🔍 Symbol Search

Find all functions, classes, and methods in your codebase:

codemap api search --path <repo_path> --query "MyClass"
codemap api search --path <repo_path> --query "function_name"

📊 Call Graph

Understand how functions call each other:

codemap api explain --path <repo_path> --symbol "module.ClassName.method"

⚠️ Risk Radar

Detect complex code patterns and potential issues:

codemap api risk_radar --path <repo_path>

📈 Impact Analysis

See which files/functions are affected by changes:

codemap api impact --path <repo_path> --target "module.function"

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Privacy & Security

✅ 100% Local

• All analysis happens on your machine
• No data sent to external servers
• .env files and secrets are never exposed

✅ Secure Cache

• Analysis results cached locally
• Cache auto-cleared after 14 days (configurable)
• No credentials stored

✅ Secret Redaction

• API keys automatically masked in output
• GitHub tokens never logged
• Safe error messages

---

Example Workflow

Local Project Analysis

# 1. Navigate to your Python project
cd C:\Users\YourName\my_python_project

# 2. Analyze it with CodeMap
codemap analyze --path .
# ✅ Analysis complete! Results cached locally

# 3. Start the web dashboard
codemap dashboard --port 8000
# ✅ Dashboard running at http://127.0.0.1:8000

# 4. Open in browser
codemap open --port 8000

# 5. Explore in browser:
#    - View all repositories
#    - See call graphs
#    - Check architecture metrics
#    - View risk analysis

# 6. Search for a specific class
codemap api search --path . --query "MyClass"

# 7. Check call graph for a function
codemap api explain --path . --symbol "mymodule.MyClass.method"

GitHub Repository Analysis

# 1. Analyze a public GitHub repo
codemap analyze --github https://github.com/owner/awesome-project
# ✅ Downloaded and analyzed

# 2. View in dashboard
codemap dashboard --port 8000
codemap open --port 8000

# 3. Clean up old repos
codemap cache list      # See all cached repos
codemap cache sweep    # Auto-cleanup old ones

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Next Steps

1. 🎯 First analysis - Try the demo:

   codemap analyze --path demo_repo
   

2. 📊 View results - Open the dashboard:

   codemap dashboard --port 8000
   

3. 📁 Analyze your code - Point to your project:

   codemap analyze --path ~/my-project
   

4. 🔗 Try GitHub - Analyze public repos:

   codemap analyze --github https://github.com/owner/repo
   

5. 🚀 Advanced features - Explore search, impact, risk analysis:

   codemap api search --path . --query "YourClass"
   

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Quick Reference

# Installation
pip install -e .

# Most common commands
codemap analyze --path <directory>              # Analyze local repo
codemap analyze --github <url>                  # Analyze GitHub repo
codemap dashboard --port 8000                   # Start dashboard
codemap open --port 8000                        # Open in browser
codemap cache list                              # List all analyses
codemap cache clear <hash>                      # Delete one analysis

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Support & Help

✅ Run without arguments to see all available commands:

codemap --help
codemap analyze --help
codemap dashboard --help
codemap api --help

✅ Check requirements:

python --version          # Should be 3.10+
pip --version             # Should be installed
git --version             # For GitHub repos

✅ Verify repo path:

# Make sure your repo has Python files
dir <your_repo>                 # Windows
ls <your_repo>                  # Linux/Mac
find <your_repo> -name "*.py"   # Find Python files

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Happy coding! 🚀

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GitHub: https://github.com/ADITYA-kus/codemap_ai