CAD-Documenter

Antoine/CAD-Documenter

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Commit Graph

Author	SHA1	Message	Date
Mario Lavoie	ca51b10c45	Add comprehensive documentation and examples - docs/USAGE.md: Full usage guide with CLI options, Python API, troubleshooting - docs/ATOMIZER_INTEGRATION.md: Guide for FEA/Atomizer integration - examples/sample_config.toml: Annotated configuration example - README.md: Expanded with installation, usage, architecture	2026-01-27 20:18:28 +00:00
Mario Lavoie	148180c12e	Full implementation - Vision AI, config, improved pipeline Major changes: - vision_analyzer.py: Real OpenAI/Anthropic vision API integration - Component detection with confidence scores - Atomizer hints extraction (objectives, constraints, parameters) - Material and feature identification - Timeline correlation with transcript - config.py: Full configuration system - API settings (provider, keys, models) - Processing settings (Whisper model, frame interval, scene detection) - Output settings (BOM, hints, PDF template) - Config file support (~/.cad-documenter.toml) - audio_analyzer.py: Enhanced transcription - Audio stream detection - Graceful fallback for missing audio - Keyword extraction - Technical term detection - Timeline correlation - video_processor.py: Smart frame extraction - Scene change detection via ffmpeg - Configurable thresholds - Best frame selection - doc_generator.py: Improved output - Better Markdown templates - BOM CSV export - Atomizer hints JSON - Component cards - cli.py: Rich CLI with progress indicators - Config file support - --init-config flag - Verbose mode - Better error messages - tests: Comprehensive test suite	2026-01-27 20:16:44 +00:00
Mario Lavoie	1e94a98e5b	Initial project scaffold - Phase 1 MVP structure Core modules: - cli.py: Command-line interface with Click - pipeline.py: Main orchestrator - video_processor.py: Frame extraction with ffmpeg - audio_analyzer.py: Whisper transcription - vision_analyzer.py: Component detection (placeholder) - doc_generator.py: Markdown + PDF output Also includes: - pyproject.toml with uv/hatch config - Prompts for AI analysis - Basic tests - ROADMAP.md with 4-week plan	2026-01-27 20:05:34 +00:00

Author

SHA1

Message

Date

Mario Lavoie

ca51b10c45

Add comprehensive documentation and examples

- docs/USAGE.md: Full usage guide with CLI options, Python API, troubleshooting
- docs/ATOMIZER_INTEGRATION.md: Guide for FEA/Atomizer integration
- examples/sample_config.toml: Annotated configuration example
- README.md: Expanded with installation, usage, architecture

2026-01-27 20:18:28 +00:00

Mario Lavoie

148180c12e

Full implementation - Vision AI, config, improved pipeline

Major changes:
- vision_analyzer.py: Real OpenAI/Anthropic vision API integration
  - Component detection with confidence scores
  - Atomizer hints extraction (objectives, constraints, parameters)
  - Material and feature identification
  - Timeline correlation with transcript

- config.py: Full configuration system
  - API settings (provider, keys, models)
  - Processing settings (Whisper model, frame interval, scene detection)
  - Output settings (BOM, hints, PDF template)
  - Config file support (~/.cad-documenter.toml)

- audio_analyzer.py: Enhanced transcription
  - Audio stream detection
  - Graceful fallback for missing audio
  - Keyword extraction
  - Technical term detection
  - Timeline correlation

- video_processor.py: Smart frame extraction
  - Scene change detection via ffmpeg
  - Configurable thresholds
  - Best frame selection

- doc_generator.py: Improved output
  - Better Markdown templates
  - BOM CSV export
  - Atomizer hints JSON
  - Component cards

- cli.py: Rich CLI with progress indicators
  - Config file support
  - --init-config flag
  - Verbose mode
  - Better error messages

- tests: Comprehensive test suite

2026-01-27 20:16:44 +00:00

Mario Lavoie

1e94a98e5b

Initial project scaffold - Phase 1 MVP structure

Core modules:
- cli.py: Command-line interface with Click
- pipeline.py: Main orchestrator
- video_processor.py: Frame extraction with ffmpeg
- audio_analyzer.py: Whisper transcription
- vision_analyzer.py: Component detection (placeholder)
- doc_generator.py: Markdown + PDF output

Also includes:
- pyproject.toml with uv/hatch config
- Prompts for AI analysis
- Basic tests
- ROADMAP.md with 4-week plan

2026-01-27 20:05:34 +00:00

3 Commits