# ArchDoc ArchDoc is a tool for automatically generating architecture documentation for Python projects. It analyzes your Python codebase and creates comprehensive documentation that helps developers understand the structure, dependencies, and key components of the project. ## Features - **Automatic Documentation Generation**: Automatically generates architecture documentation from Python source code - **AST-Based Analysis**: Uses Python AST to extract imports, definitions, and function calls - **Diff-Aware Updates**: Preserves manual content while updating generated sections - **Caching**: Caches analysis results for faster subsequent runs - **Configurable**: Highly configurable through `archdoc.toml` - **Template-Based Rendering**: Uses Handlebars templates for customizable output ## Installation To install ArchDoc, you'll need Rust installed on your system. Then run: ```bash cargo install --path archdoc-cli ``` ## Usage ### Initialize Configuration First, initialize the configuration in your project: ```bash archdoc init ``` This creates an `archdoc.toml` file with default settings. ### Generate Documentation Generate architecture documentation for your project: ```bash archdoc generate ``` This will create documentation files in the configured output directory. ### Check Documentation Consistency Verify that your documentation is consistent with the code: ```bash archdoc check ``` ## Configuration ArchDoc is configured through an `archdoc.toml` file. Here's an example configuration: ```toml [project] root = "." out_dir = "docs/architecture" entry_file = "ARCHITECTURE.md" language = "python" [scan] include = ["src"] exclude = [".venv", "venv", "__pycache__", ".git", "dist", "build"] [python] src_roots = ["src"] include_tests = true parse_docstrings = true [analysis] resolve_calls = true detect_integrations = true [output] single_file = false per_file_docs = true create_directories = true [caching] enabled = true cache_dir = ".archdoc/cache" max_cache_age = "24h" ``` ## How It Works 1. **Scanning**: ArchDoc scans your project directory for Python files based on the configuration 2. **Parsing**: It parses each Python file using AST to extract structure and relationships 3. **Analysis**: It analyzes the code to identify imports, definitions, and function calls 4. **Documentation Generation**: It generates documentation using templates 5. **Output**: It writes the documentation to files, preserving manual content ## Contributing Contributions are welcome! Please feel free to submit a Pull Request. ## License This project is licensed under the MIT License - see the LICENSE file for details.