- Set up UV environment with all required packages
- Created comprehensive project structure
- Implemented abstract BaseScraper class with TDD
- Added documentation (project spec, implementation plan, status)
- Configured .env for credentials (not committed)
- All base scraper tests passing (9/9)
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
2.4 KiB
2.4 KiB
Project Status
Current Phase: Foundation
Date: 2025-08-18 Overall Progress: 10%
Completed Tasks ✅
- Project structure created
- UV environment initialized with required packages
- .env file configured with credentials
- Documentation structure established
- Project specifications documented
- Implementation plan created
- Credentials removed from documentation files
In Progress 🔄
- Creating base test framework
- Implementing abstract base scraper class
Pending Tasks 📋
- Complete base scraper implementation
- Implement WordPress blog scraper
- Implement RSS scrapers (MailChimp & Podcast)
- Implement YouTube scraper with yt-dlp
- Implement Instagram scraper with instaloader
- Add parallel processing
- Implement scheduling (8AM & 12PM ADT)
- Add rsync to NAS functionality
- Set up logging with rotation
- Create Dockerfile
- Create Kubernetes manifests
- Configure persistent volumes
- Deploy to Kubernetes cluster
Next Immediate Steps
- Complete BaseScraper class to pass tests
- Create WordPress scraper with tests
- Test incremental update functionality
Blockers
- None currently
Notes
- Following TDD approach - tests written before implementation
- Credentials properly secured in .env file
- Project will run as Kubernetes CronJob on control plane node
Git Repository
- Repository: https://github.com/bengizmo/hvacknowitall-content.git
- Status: Not initialized yet
- Next commit: After base scraper implementation
Test Coverage
- Target: >80%
- Current: 0% (tests written, implementation pending)
Timeline Estimate
- Foundation & Base Classes: Day 1 (Today)
- Core Scrapers: Days 2-3
- Processing & Storage: Day 4
- Orchestration: Day 5
- Containerization & Deployment: Day 6
- Testing & Documentation: Day 7
- Estimated Completion: 1 week
Risk Assessment
- High: Instagram rate limiting may require tuning
- Medium: YouTube authentication may need periodic updates
- Low: RSS feeds are stable but may change structure
Performance Metrics (Target)
- Scraping time per source: <5 minutes
- Total execution time: <30 minutes
- Memory usage: <2GB
- Storage growth: ~100MB/day
Dependencies Status
All Python packages installed:
- ✅ requests
- ✅ feedparser
- ✅ yt-dlp
- ✅ instaloader
- ✅ markitdown
- ✅ python-dotenv
- ✅ schedule
- ✅ pytest
- ✅ pytest-mock
- ✅ pytest-asyncio
- ✅ pytz