feat: improve documentation quality with real data

- Extract file-level docstrings from Python files (module-level string expressions)
- Use __init__.py docstrings as module doc_summary
- Use file docstrings as file purpose in layout tables (instead of 'Source file')
- Populate module outbound_modules/inbound_modules from import edges (internal only)
- Make filename sanitization consistent (sanitize_for_link matches sanitize_filename)
- Clean up stale .md files from previous runs before generating
- Fill ARCHITECTURE.md template with real layout, modules index, and critical points
- Add file_docstring field to ParsedModule and file_purpose to FileDoc
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2026-02-15 04:10:20 +03:00
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# PR: Major improvements to ArchDoc
## Summary
Comprehensive refactoring and feature additions to ArchDoc — the Python architecture documentation generator. This PR improves code quality, adds new features, and significantly enhances the development experience.
**Stats:** 24 files changed, ~3900 insertions, ~1400 deletions, 50 tests
## Changes
### 🏗️ Architecture
- **Decomposed monolithic `main.rs`** into `commands/` module structure (generate, init, check, stats)
- **Added workspace `Cargo.toml`** for unified builds across both crates
- **New `cycle_detector` module** with DFS-based dependency cycle detection
### 🐍 Python Analyzer
- **Full AST traversal** — properly walks all statement types (if/for/while/try/with/match)
- **Function signatures** — extracts parameter names, types, defaults, return types
- **Method detection** — distinguishes methods from standalone functions via `self`/`cls` parameter
- **Docstring extraction** — parses first line of docstrings for symbol documentation
- **Module path computation** — correctly computes module IDs from `src_roots` config
### ✨ New Features
- **`stats` command** — project statistics with colored output and progress bar
- **Config validation** — validates project root, language, scan paths, cache age, file size formats
- **Cycle detection** — finds circular dependencies in module graph, shown in critical points section
- **`--dry-run` flag** — preview what would be generated without writing files
- **Dynamic project data** — uses config project name and current date instead of hardcoded values
- **Real usage examples** — generates Python import/call examples from analyzed symbols
- **Skip-unchanged optimization** — writer skips files that haven't changed
### 🧹 Code Quality
- **Zero `unwrap()` calls** in non-test code — proper error handling throughout
- **Zero clippy warnings** — all lints resolved
- **50 tests** — unit tests for config validation, cycle detection, caching, integration detection, error handling, and full pipeline integration tests
### 📚 Documentation
- **README.md** — badges, full command reference, configuration table, architecture overview
- **CHANGELOG.md** — complete changelog for this branch
## Testing
```bash
cargo test # 50 tests, all passing
cargo clippy # 0 warnings
cargo build # clean build
```
## Breaking Changes
None. All existing functionality preserved.