f9a8e719a7
- 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>
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89 lines
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2.4 KiB
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# Project Status
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## Current Phase: Foundation
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**Date**: 2025-08-18
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**Overall Progress**: 10%
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## Completed Tasks ✅
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1. Project structure created
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2. UV environment initialized with required packages
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3. .env file configured with credentials
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4. Documentation structure established
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5. Project specifications documented
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6. Implementation plan created
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7. Credentials removed from documentation files
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## In Progress 🔄
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1. Creating base test framework
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2. Implementing abstract base scraper class
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## Pending Tasks 📋
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1. Complete base scraper implementation
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2. Implement WordPress blog scraper
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3. Implement RSS scrapers (MailChimp & Podcast)
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4. Implement YouTube scraper with yt-dlp
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5. Implement Instagram scraper with instaloader
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6. Add parallel processing
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7. Implement scheduling (8AM & 12PM ADT)
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8. Add rsync to NAS functionality
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9. Set up logging with rotation
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10. Create Dockerfile
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11. Create Kubernetes manifests
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12. Configure persistent volumes
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13. Deploy to Kubernetes cluster
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## Next Immediate Steps
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1. Complete BaseScraper class to pass tests
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2. Create WordPress scraper with tests
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3. Test incremental update functionality
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## Blockers
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- None currently
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## Notes
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- Following TDD approach - tests written before implementation
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- Credentials properly secured in .env file
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- Project will run as Kubernetes CronJob on control plane node
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## Git Repository
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- Repository: https://github.com/bengizmo/hvacknowitall-content.git
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- Status: Not initialized yet
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- Next commit: After base scraper implementation
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## Test Coverage
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- Target: >80%
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- Current: 0% (tests written, implementation pending)
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## Timeline Estimate
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- Foundation & Base Classes: Day 1 (Today)
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- Core Scrapers: Days 2-3
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- Processing & Storage: Day 4
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- Orchestration: Day 5
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- Containerization & Deployment: Day 6
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- Testing & Documentation: Day 7
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- **Estimated Completion**: 1 week
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## Risk Assessment
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- **High**: Instagram rate limiting may require tuning
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- **Medium**: YouTube authentication may need periodic updates
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- **Low**: RSS feeds are stable but may change structure
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## Performance Metrics (Target)
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- Scraping time per source: <5 minutes
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- Total execution time: <30 minutes
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- Memory usage: <2GB
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- Storage growth: ~100MB/day
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## Dependencies Status
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All Python packages installed:
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- ✅ requests
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- ✅ feedparser
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- ✅ yt-dlp
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- ✅ instaloader
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- ✅ markitdown
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- ✅ python-dotenv
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- ✅ schedule
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- ✅ pytest
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- ✅ pytest-mock
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- ✅ pytest-asyncio
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- ✅ pytz |