# Project Status

## Current Phase: Foundation
**Date**: 2025-08-18
**Overall Progress**: 10%

## Completed Tasks ✅
1. Project structure created
2. UV environment initialized with required packages
3. .env file configured with credentials
4. Documentation structure established
5. Project specifications documented
6. Implementation plan created
7. Credentials removed from documentation files

## In Progress 🔄
1. Creating base test framework
2. Implementing abstract base scraper class

## Pending Tasks 📋
1. Complete base scraper implementation
2. Implement WordPress blog scraper
3. Implement RSS scrapers (MailChimp & Podcast)
4. Implement YouTube scraper with yt-dlp
5. Implement Instagram scraper with instaloader
6. Add parallel processing
7. Implement scheduling (8AM & 12PM ADT)
8. Add rsync to NAS functionality
9. Set up logging with rotation
10. Create Dockerfile
11. Create Kubernetes manifests
12. Configure persistent volumes
13. Deploy to Kubernetes cluster

## Next Immediate Steps
1. Complete BaseScraper class to pass tests
2. Create WordPress scraper with tests
3. 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