Implement cumulative markdown system and API integrations
Major improvements: - Add CumulativeMarkdownManager for intelligent content merging - Implement YouTube Data API v3 integration with caption support - Add MailChimp API integration with content cleaning - Create single source-of-truth files that grow with updates - Smart merging: updates existing entries with better data - Properly combines backlog + incremental daily updates Features: - 179/444 YouTube videos now have captions (40.3%) - MailChimp content cleaned of headers/footers - All sources consolidated to single files - Archive management with timestamped versions - Test suite and documentation included 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md
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README.md
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# HVAC Know It All Content Aggregation System
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A containerized Python application that aggregates content from multiple HVAC Know It All sources, converts them to markdown format, and syncs to a NAS.
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## Features
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- **Multi-source content aggregation** from YouTube, Instagram, TikTok, MailChimp, WordPress, and Podcast RSS
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- **Cumulative markdown management** - Single source-of-truth files that grow with backlog and incremental updates
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- **API integrations** for YouTube Data API v3 and MailChimp API
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- **Intelligent content merging** with caption/transcript updates and metric tracking
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- **Automated NAS synchronization** to `/mnt/nas/hvacknowitall/`
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- **State management** for incremental updates
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- **Parallel processing** for multiple sources
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- **Atlantic timezone** (America/Halifax) timestamps
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## Cumulative Markdown System
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### Overview
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The system maintains a single markdown file per source that combines:
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- Initial backlog content (historical data)
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- Daily incremental updates (new content)
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- Content updates (new captions, updated metrics)
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### How It Works
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1. **Initial Backlog**: First run creates base file with all historical content
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2. **Daily Incremental**: Subsequent runs merge new content into existing file
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3. **Smart Merging**: Updates existing entries when better data is available (captions, transcripts, metrics)
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4. **Archival**: Previous versions archived with timestamps for history
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### File Naming Convention
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```
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<brandName>_<source>_<dateTime>.md
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Example: hvacnkowitall_YouTube_2025-08-19T143045.md
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```
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## Quick Start
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### Installation
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```bash
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# Install UV package manager
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pip install uv
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# Install dependencies
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uv pip install -r requirements.txt
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```
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### Configuration
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Create `.env` file with credentials:
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```env
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# YouTube
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YOUTUBE_API_KEY=your_api_key
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# MailChimp
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MAILCHIMP_API_KEY=your_api_key
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MAILCHIMP_SERVER_PREFIX=us10
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# Instagram
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INSTAGRAM_USERNAME=username
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INSTAGRAM_PASSWORD=password
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# WordPress
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WORDPRESS_USERNAME=username
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WORDPRESS_API_KEY=api_key
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```
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### Running
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```bash
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# Run all scrapers (parallel)
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uv run python run_all_scrapers.py
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# Run single source
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uv run python -m src.youtube_api_scraper_v2
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# Test cumulative mode
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uv run python test_cumulative_mode.py
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# Consolidate existing files
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uv run python consolidate_current_files.py
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```
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## Architecture
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### Core Components
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- **BaseScraper**: Abstract base class for all scrapers
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- **BaseScraperCumulative**: Enhanced base with cumulative support
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- **CumulativeMarkdownManager**: Handles intelligent file merging
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- **ContentOrchestrator**: Manages parallel scraper execution
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### Data Flow
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```
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1. Scraper fetches content (checks state for incremental)
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2. CumulativeMarkdownManager loads existing file
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3. Merges new content (adds new, updates existing)
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4. Archives previous version
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5. Saves updated file with current timestamp
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6. Updates state for next run
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```
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### Directory Structure
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```
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data/
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├── markdown_current/ # Current single-source-of-truth files
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├── markdown_archives/ # Historical versions by source
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│ ├── YouTube/
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│ ├── Instagram/
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│ └── ...
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├── media/ # Downloaded media files
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└── .state/ # State files for incremental updates
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logs/ # Log files by source
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src/ # Source code
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tests/ # Test files
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```
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## API Quota Management
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### YouTube Data API v3
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- **Daily Limit**: 10,000 units
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- **Usage Strategy**: 95% daily quota for captions
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- **Costs**:
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- videos.list: 1 unit
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- captions.list: 50 units
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- channels.list: 1 unit
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### Rate Limiting
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- Instagram: 200 posts/hour
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- YouTube: Respects API quotas
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- General: Exponential backoff with retry
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## Production Deployment
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### Systemd Services
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Services are configured in `/etc/systemd/system/`:
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- `hvac-content-8am.service` - Morning run
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- `hvac-content-12pm.service` - Noon run
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- `hvac-content-8am.timer` - Morning schedule
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- `hvac-content-12pm.timer` - Noon schedule
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### Manual Deployment
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```bash
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# Start services
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sudo systemctl start hvac-content-8am.timer
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sudo systemctl start hvac-content-12pm.timer
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# Enable on boot
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sudo systemctl enable hvac-content-8am.timer
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sudo systemctl enable hvac-content-12pm.timer
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# Check status
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sudo systemctl status hvac-content-*.timer
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```
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## Monitoring
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```bash
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# View logs
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journalctl -u hvac-content-8am -f
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# Check file growth
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ls -lh data/markdown_current/
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# View statistics
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uv run python -c "from src.cumulative_markdown_manager import CumulativeMarkdownManager; ..."
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```
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## Testing
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```bash
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# Run all tests
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uv run pytest
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# Test specific scraper
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uv run pytest tests/test_youtube_scraper.py
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# Test cumulative mode
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uv run python test_cumulative_mode.py
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```
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## Troubleshooting
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### Common Issues
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1. **Instagram Rate Limiting**: Scraper implements humanized delays (18-22 seconds between requests)
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2. **YouTube Quota Exceeded**: Wait until next day, quota resets at midnight Pacific
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3. **NAS Permission Errors**: Warnings are normal, files still sync successfully
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4. **Missing Captions**: Use YouTube Data API instead of youtube-transcript-api
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### Debug Commands
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```bash
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# Check scraper state
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cat data/.state/*_state.json
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# View recent logs
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tail -f logs/YouTube/youtube_*.log
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# Test single source
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uv run python -m src.youtube_api_scraper_v2 --test
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```
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## License
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Private repository - All rights reserved
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consolidate_current_files.py
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consolidate_current_files.py
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#!/usr/bin/env python3
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"""
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Consolidate multiple markdown files per source into single current files
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Combines backlog data and incremental updates into one source of truth
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Follows project specification naming: hvacnkowitall_<source>_<dateTime>.md
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"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent))
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from datetime import datetime
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import pytz
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import re
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from typing import Dict, List, Set
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import logging
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# Set up logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler('logs/consolidation.log'),
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logging.StreamHandler()
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]
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)
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logger = logging.getLogger('consolidator')
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def get_atlantic_timestamp() -> str:
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"""Get current timestamp in Atlantic timezone."""
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tz = pytz.timezone('America/Halifax')
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return datetime.now(tz).strftime('%Y-%m-%dT%H%M%S')
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def parse_markdown_sections(content: str) -> List[Dict]:
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"""Parse markdown content into sections by ID."""
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sections = []
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# Split by ID headers
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parts = content.split('# ID: ')
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for part in parts[1:]: # Skip first empty part
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if not part.strip():
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continue
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lines = part.strip().split('\n')
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section_id = lines[0].strip()
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# Get the full section content
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section_content = f"# ID: {section_id}\n" + '\n'.join(lines[1:])
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sections.append({
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'id': section_id,
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'content': section_content
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})
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return sections
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def consolidate_source_files(source_name: str) -> bool:
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"""Consolidate all files for a specific source into one current file."""
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logger.info(f"Consolidating {source_name} files...")
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current_dir = Path('data/markdown_current')
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archives_dir = Path('data/markdown_archives')
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# Find all files for this source
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pattern = f"hvacnkowitall_{source_name}_*.md"
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current_files = list(current_dir.glob(pattern))
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# Also check for files with different naming (like captions files)
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alt_patterns = [
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f"*{source_name}*.md",
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f"hvacnkowitall_{source_name.lower()}_*.md"
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]
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for alt_pattern in alt_patterns:
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current_files.extend(current_dir.glob(alt_pattern))
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# Remove duplicates
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current_files = list(set(current_files))
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if not current_files:
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logger.warning(f"No files found for source: {source_name}")
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return False
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logger.info(f"Found {len(current_files)} files for {source_name}: {[f.name for f in current_files]}")
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# Track unique sections by ID
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sections_by_id: Dict[str, Dict] = {}
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all_sections = []
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# Process each file
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for file_path in current_files:
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logger.info(f"Processing {file_path.name}...")
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try:
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content = file_path.read_text(encoding='utf-8')
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sections = parse_markdown_sections(content)
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logger.info(f" Found {len(sections)} sections")
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# Add sections, preferring newer data
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for section in sections:
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section_id = section['id']
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# If we haven't seen this ID, add it
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if section_id not in sections_by_id:
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sections_by_id[section_id] = section
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all_sections.append(section)
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else:
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# Check if this version has more content (like captions)
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old_content = sections_by_id[section_id]['content']
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new_content = section['content']
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# Prefer content with captions/more detail
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if ('Caption Status:' in new_content and 'Caption Status:' not in old_content) or \
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len(new_content) > len(old_content):
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logger.info(f" Updating section {section_id} with more detailed content")
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# Update in place
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for i, existing in enumerate(all_sections):
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if existing['id'] == section_id:
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all_sections[i] = section
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sections_by_id[section_id] = section
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break
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except Exception as e:
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logger.error(f"Error processing {file_path}: {e}")
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continue
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if not all_sections:
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logger.warning(f"No sections found for {source_name}")
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return False
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# Create consolidated content
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consolidated_content = []
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# Sort sections by ID for consistency
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all_sections.sort(key=lambda x: x['id'])
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for section in all_sections:
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consolidated_content.append(section['content'])
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consolidated_content.append("") # Add separator
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# Generate new filename following project specification
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timestamp = get_atlantic_timestamp()
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new_filename = f"hvacnkowitall_{source_name}_{timestamp}.md"
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new_file_path = current_dir / new_filename
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# Save consolidated file
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final_content = '\n'.join(consolidated_content)
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new_file_path.write_text(final_content, encoding='utf-8')
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logger.info(f"Created consolidated file: {new_filename}")
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logger.info(f" Total sections: {len(all_sections)}")
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logger.info(f" File size: {len(final_content):,} characters")
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# Archive old files
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archive_source_dir = archives_dir / source_name
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archive_source_dir.mkdir(parents=True, exist_ok=True)
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archived_count = 0
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for old_file in current_files:
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if old_file.name != new_filename: # Don't archive the new file
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try:
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archive_path = archive_source_dir / old_file.name
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old_file.rename(archive_path)
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archived_count += 1
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logger.info(f" Archived: {old_file.name}")
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except Exception as e:
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logger.error(f"Error archiving {old_file.name}: {e}")
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logger.info(f"Archived {archived_count} old files for {source_name}")
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# Create copy in archives as well
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archive_current_path = archive_source_dir / new_filename
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archive_current_path.write_text(final_content, encoding='utf-8')
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return True
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def main():
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"""Main consolidation function."""
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logger.info("=" * 60)
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logger.info("CONSOLIDATING CURRENT MARKDOWN FILES")
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logger.info("=" * 60)
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# Create directories if needed
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Path('data/markdown_current').mkdir(parents=True, exist_ok=True)
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Path('data/markdown_archives').mkdir(parents=True, exist_ok=True)
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Path('logs').mkdir(parents=True, exist_ok=True)
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# Define sources to consolidate
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sources = ['YouTube', 'MailChimp', 'Instagram', 'TikTok', 'Podcast']
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consolidated = []
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failed = []
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for source in sources:
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logger.info(f"\n{'-' * 40}")
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try:
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if consolidate_source_files(source):
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consolidated.append(source)
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else:
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failed.append(source)
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except Exception as e:
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logger.error(f"Failed to consolidate {source}: {e}")
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failed.append(source)
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logger.info(f"\n{'=' * 60}")
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logger.info("CONSOLIDATION SUMMARY")
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logger.info(f"{'=' * 60}")
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logger.info(f"Successfully consolidated: {consolidated}")
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logger.info(f"Failed/No data: {failed}")
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# List final current files
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current_files = list(Path('data/markdown_current').glob('*.md'))
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logger.info(f"\nFinal current files:")
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for file in sorted(current_files):
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size = file.stat().st_size
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logger.info(f" {file.name} ({size:,} bytes)")
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if __name__ == "__main__":
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main()
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229
continue_youtube_captions.py
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229
continue_youtube_captions.py
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#!/usr/bin/env python3
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"""
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Continue YouTube caption fetching using remaining quota
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Fetches captions for videos 50-188 (next 139 videos by view count)
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Uses up to 95% of daily quota (9,500 units)
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"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent))
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from src.youtube_api_scraper_v2 import YouTubeAPIScraper
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from src.base_scraper import ScraperConfig
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from datetime import datetime
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import pytz
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import time
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import json
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import logging
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# Set up logging
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler('logs/youtube_caption_continue.log'),
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logging.StreamHandler()
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]
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)
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logger = logging.getLogger('youtube_captions')
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def load_existing_videos():
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"""Load existing video data from the latest markdown file."""
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latest_file = Path('data/markdown_current/hvacnkowitall_YouTube_2025-08-19T100336.md')
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if not latest_file.exists():
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logger.error(f"Latest YouTube file not found: {latest_file}")
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return []
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# Parse the markdown to extract video data
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content = latest_file.read_text(encoding='utf-8')
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videos = []
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# Simple parsing - split by video sections
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sections = content.split('# ID: ')
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for section in sections[1:]: # Skip first empty section
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lines = section.strip().split('\n')
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if not lines:
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continue
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video_id = lines[0].strip()
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video_data = {'id': video_id}
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# Parse basic info
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for line in lines:
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if line.startswith('## Title: '):
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video_data['title'] = line.replace('## Title: ', '')
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elif line.startswith('## Views: '):
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views_str = line.replace('## Views: ', '').replace(',', '')
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video_data['view_count'] = int(views_str) if views_str.isdigit() else 0
|
||||
elif line.startswith('## Caption Status:'):
|
||||
video_data['has_caption_info'] = True
|
||||
|
||||
videos.append(video_data)
|
||||
|
||||
logger.info(f"Loaded {len(videos)} videos from existing file")
|
||||
return videos
|
||||
|
||||
|
||||
def continue_caption_fetching():
|
||||
"""Continue fetching captions from where we left off."""
|
||||
logger.info("=" * 60)
|
||||
logger.info("CONTINUING YOUTUBE CAPTION FETCHING")
|
||||
logger.info("=" * 60)
|
||||
|
||||
# Load existing video data
|
||||
videos = load_existing_videos()
|
||||
|
||||
if not videos:
|
||||
logger.error("No existing videos found to continue from")
|
||||
return False
|
||||
|
||||
# Sort by view count (descending)
|
||||
videos.sort(key=lambda x: x.get('view_count', 0), reverse=True)
|
||||
|
||||
# Count how many already have captions
|
||||
with_captions = sum(1 for v in videos if v.get('has_caption_info'))
|
||||
without_captions = [v for v in videos if not v.get('has_caption_info')]
|
||||
|
||||
logger.info(f"Current status:")
|
||||
logger.info(f" Total videos: {len(videos)}")
|
||||
logger.info(f" Already have captions: {with_captions}")
|
||||
logger.info(f" Need captions: {len(without_captions)}")
|
||||
|
||||
# Calculate quota
|
||||
quota_used_so_far = 2519 # From previous run
|
||||
daily_limit = 10000
|
||||
target_usage = int(daily_limit * 0.95) # 95% = 9,500 units
|
||||
available_quota = target_usage - quota_used_so_far
|
||||
|
||||
logger.info(f"Quota analysis:")
|
||||
logger.info(f" Daily limit: {daily_limit:,} units")
|
||||
logger.info(f" Already used: {quota_used_so_far:,} units")
|
||||
logger.info(f" Target (95%): {target_usage:,} units")
|
||||
logger.info(f" Available: {available_quota:,} units")
|
||||
|
||||
# Calculate how many more videos we can caption
|
||||
max_additional_captions = available_quota // 50 # 50 units per video
|
||||
videos_to_caption = without_captions[:max_additional_captions]
|
||||
|
||||
logger.info(f"Caption plan:")
|
||||
logger.info(f" Videos to caption now: {len(videos_to_caption)}")
|
||||
logger.info(f" Estimated quota cost: {len(videos_to_caption) * 50:,} units")
|
||||
logger.info(f" Will use: {quota_used_so_far + (len(videos_to_caption) * 50):,} units total")
|
||||
|
||||
if not videos_to_caption:
|
||||
logger.info("No additional videos to caption within quota limits")
|
||||
return True
|
||||
|
||||
# Set up scraper
|
||||
config = ScraperConfig(
|
||||
source_name='YouTube',
|
||||
brand_name='hvacnkowitall',
|
||||
data_dir=Path('data/markdown_current'),
|
||||
logs_dir=Path('logs/YouTube'),
|
||||
timezone='America/Halifax'
|
||||
)
|
||||
|
||||
scraper = YouTubeAPIScraper(config)
|
||||
scraper.quota_used = quota_used_so_far # Set initial quota usage
|
||||
|
||||
logger.info(f"Starting caption fetching for {len(videos_to_caption)} videos...")
|
||||
start_time = time.time()
|
||||
|
||||
captions_found = 0
|
||||
for i, video in enumerate(videos_to_caption, 1):
|
||||
video_id = video['id']
|
||||
title = video.get('title', 'Unknown')[:50]
|
||||
|
||||
logger.info(f"[{i}/{len(videos_to_caption)}] Fetching caption for: {title}...")
|
||||
|
||||
# Fetch caption info
|
||||
caption_info = scraper._fetch_caption_text(video_id)
|
||||
|
||||
if caption_info:
|
||||
video['caption_text'] = caption_info
|
||||
captions_found += 1
|
||||
logger.info(f" ✅ Caption found")
|
||||
else:
|
||||
logger.info(f" ❌ No caption available")
|
||||
|
||||
# Add delay to be respectful
|
||||
time.sleep(0.5)
|
||||
|
||||
# Check if we're approaching quota limit
|
||||
if scraper.quota_used >= target_usage:
|
||||
logger.warning(f"Reached 95% quota limit at video {i}")
|
||||
break
|
||||
|
||||
elapsed = time.time() - start_time
|
||||
|
||||
logger.info(f"Caption fetching complete!")
|
||||
logger.info(f" Duration: {elapsed:.1f} seconds")
|
||||
logger.info(f" Captions found: {captions_found}")
|
||||
logger.info(f" Quota used: {scraper.quota_used:,}/{daily_limit:,} units")
|
||||
logger.info(f" Quota percentage: {(scraper.quota_used/daily_limit)*100:.1f}%")
|
||||
|
||||
# Update the video data with new caption info
|
||||
video_lookup = {v['id']: v for v in videos}
|
||||
for video in videos_to_caption:
|
||||
if video['id'] in video_lookup and video.get('caption_text'):
|
||||
video_lookup[video['id']]['caption_text'] = video['caption_text']
|
||||
|
||||
# Save updated data
|
||||
timestamp = datetime.now(pytz.timezone('America/Halifax')).strftime('%Y-%m-%dT%H%M%S')
|
||||
updated_filename = f"hvacnkowitall_YouTube_{timestamp}_captions.md"
|
||||
|
||||
# Generate updated markdown (simplified version)
|
||||
markdown_sections = []
|
||||
for video in videos:
|
||||
section = []
|
||||
section.append(f"# ID: {video['id']}")
|
||||
section.append("")
|
||||
section.append(f"## Title: {video.get('title', 'Unknown')}")
|
||||
section.append("")
|
||||
section.append(f"## Views: {video.get('view_count', 0):,}")
|
||||
section.append("")
|
||||
|
||||
# Caption status
|
||||
if video.get('caption_text'):
|
||||
section.append("## Caption Status:")
|
||||
section.append(video['caption_text'])
|
||||
section.append("")
|
||||
elif video.get('has_caption_info'):
|
||||
section.append("## Caption Status:")
|
||||
section.append("[Captions available - ]")
|
||||
section.append("")
|
||||
|
||||
section.append("-" * 50)
|
||||
section.append("")
|
||||
markdown_sections.append('\n'.join(section))
|
||||
|
||||
# Save updated file
|
||||
output_file = Path(f'data/markdown_current/{updated_filename}')
|
||||
output_file.write_text('\n'.join(markdown_sections), encoding='utf-8')
|
||||
|
||||
logger.info(f"Updated file saved: {output_file}")
|
||||
|
||||
# Calculate remaining work
|
||||
total_with_captions = with_captions + captions_found
|
||||
remaining_videos = len(videos) - total_with_captions
|
||||
|
||||
logger.info(f"Progress summary:")
|
||||
logger.info(f" Total videos: {len(videos)}")
|
||||
logger.info(f" Captioned: {total_with_captions}")
|
||||
logger.info(f" Remaining: {remaining_videos}")
|
||||
logger.info(f" Progress: {(total_with_captions/len(videos))*100:.1f}%")
|
||||
|
||||
if remaining_videos > 0:
|
||||
days_needed = (remaining_videos // 190) + (1 if remaining_videos % 190 else 0)
|
||||
logger.info(f" Estimated days to complete: {days_needed}")
|
||||
|
||||
return True
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
success = continue_caption_fetching()
|
||||
sys.exit(0 if success else 1)
|
||||
188
docs/cumulative_markdown.md
Normal file
188
docs/cumulative_markdown.md
Normal file
|
|
@ -0,0 +1,188 @@
|
|||
# Cumulative Markdown System Documentation
|
||||
|
||||
## Overview
|
||||
|
||||
The cumulative markdown system maintains a single, continuously growing markdown file per content source that intelligently combines backlog data with incremental daily updates.
|
||||
|
||||
## Problem It Solves
|
||||
|
||||
Previously, each scraper run created entirely new files:
|
||||
- Backlog runs created large initial files
|
||||
- Incremental updates created small separate files
|
||||
- No merging of content between files
|
||||
- Multiple files per source made it hard to find the "current" state
|
||||
|
||||
## Solution Architecture
|
||||
|
||||
### CumulativeMarkdownManager
|
||||
|
||||
Core class that handles:
|
||||
1. **Loading** existing markdown files
|
||||
2. **Parsing** content into sections by unique ID
|
||||
3. **Merging** new content with existing sections
|
||||
4. **Updating** sections when better data is available
|
||||
5. **Archiving** previous versions for history
|
||||
6. **Saving** updated single-source-of-truth file
|
||||
|
||||
### Merge Logic
|
||||
|
||||
The system uses intelligent merging based on content quality:
|
||||
|
||||
```python
|
||||
def should_update_section(old_section, new_section):
|
||||
# Update if new has captions/transcripts that old doesn't
|
||||
if new_has_captions and not old_has_captions:
|
||||
return True
|
||||
|
||||
# Update if new has significantly more content
|
||||
if new_description_length > old_description_length * 1.2:
|
||||
return True
|
||||
|
||||
# Update if metrics have increased
|
||||
if new_views > old_views:
|
||||
return True
|
||||
|
||||
return False
|
||||
```
|
||||
|
||||
## Usage Patterns
|
||||
|
||||
### Initial Backlog Capture
|
||||
|
||||
```python
|
||||
# Day 1 - First run captures all historical content
|
||||
scraper.fetch_content(max_posts=1000)
|
||||
# Creates: hvacnkowitall_YouTube_20250819T080000.md (444 videos)
|
||||
```
|
||||
|
||||
### Daily Incremental Update
|
||||
|
||||
```python
|
||||
# Day 2 - Fetch only new content since last run
|
||||
scraper.fetch_content() # Uses state to get only new items
|
||||
# Loads existing file, merges new content
|
||||
# Updates: hvacnkowitall_YouTube_20250819T120000.md (449 videos)
|
||||
```
|
||||
|
||||
### Caption/Transcript Enhancement
|
||||
|
||||
```python
|
||||
# Day 3 - Fetch captions for existing videos
|
||||
youtube_scraper.fetch_captions(video_ids)
|
||||
# Loads existing file, updates videos with caption data
|
||||
# Updates: hvacnkowitall_YouTube_20250819T080000.md (449 videos, 200 with captions)
|
||||
```
|
||||
|
||||
## File Management
|
||||
|
||||
### Naming Convention
|
||||
```
|
||||
hvacnkowitall_<Source>_<YYYY-MM-DDTHHMMSS>.md
|
||||
```
|
||||
- Brand name is always lowercase
|
||||
- Source name is TitleCase
|
||||
- Timestamp in Atlantic timezone
|
||||
|
||||
### Archive Strategy
|
||||
```
|
||||
Current:
|
||||
hvacnkowitall_YouTube_20250819T143045.md (latest)
|
||||
|
||||
Archives:
|
||||
YouTube/
|
||||
hvacnkowitall_YouTube_20250819T080000_archived_20250819_120000.md
|
||||
hvacnkowitall_YouTube_20250819T120000_archived_20250819_143045.md
|
||||
```
|
||||
|
||||
## Implementation Details
|
||||
|
||||
### Section Structure
|
||||
|
||||
Each content item is a section with unique ID:
|
||||
```markdown
|
||||
# ID: video_abc123
|
||||
|
||||
## Title: Video Title
|
||||
|
||||
## Views: 1,234
|
||||
|
||||
## Description:
|
||||
Full description text...
|
||||
|
||||
## Caption Status:
|
||||
Caption text if available...
|
||||
|
||||
## Publish Date: 2024-01-15
|
||||
|
||||
--------------------------------------------------
|
||||
```
|
||||
|
||||
### Merge Process
|
||||
|
||||
1. **Parse** both existing and new content into sections
|
||||
2. **Index** by unique ID (video ID, post ID, etc.)
|
||||
3. **Compare** sections with same ID
|
||||
4. **Update** if new version is better
|
||||
5. **Add** new sections not in existing file
|
||||
6. **Sort** by date (newest first) or maintain order
|
||||
7. **Save** combined content with new timestamp
|
||||
|
||||
### State Management
|
||||
|
||||
State files track last processed item for incremental updates:
|
||||
```json
|
||||
{
|
||||
"last_video_id": "abc123",
|
||||
"last_video_date": "2024-01-20",
|
||||
"last_sync": "2024-01-20T12:00:00",
|
||||
"total_processed": 449
|
||||
}
|
||||
```
|
||||
|
||||
## Benefits
|
||||
|
||||
1. **Single Source of Truth**: One file per source with all content
|
||||
2. **Automatic Updates**: Existing entries enhanced with new data
|
||||
3. **Efficient Storage**: No duplicate content across files
|
||||
4. **Complete History**: Archives preserve all versions
|
||||
5. **Incremental Growth**: Files grow naturally over time
|
||||
6. **Smart Merging**: Best version of each entry is preserved
|
||||
|
||||
## Migration from Separate Files
|
||||
|
||||
Use the consolidation script to migrate existing separate files:
|
||||
|
||||
```bash
|
||||
# Consolidate all existing files into cumulative format
|
||||
uv run python consolidate_current_files.py
|
||||
```
|
||||
|
||||
This will:
|
||||
1. Find all files for each source
|
||||
2. Parse and merge by content ID
|
||||
3. Create single cumulative file
|
||||
4. Archive old separate files
|
||||
|
||||
## Testing
|
||||
|
||||
Test the cumulative workflow:
|
||||
|
||||
```bash
|
||||
uv run python test_cumulative_mode.py
|
||||
```
|
||||
|
||||
This demonstrates:
|
||||
- Initial backlog capture (5 items)
|
||||
- First incremental update (+2 items = 7 total)
|
||||
- Second incremental with updates (1 updated, +1 new = 8 total)
|
||||
- Proper archival of previous versions
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
Potential improvements:
|
||||
1. Conflict resolution strategies (user choice on updates)
|
||||
2. Differential backups (only store changes)
|
||||
3. Compression of archived versions
|
||||
4. Metrics tracking across versions
|
||||
5. Automatic cleanup of old archives
|
||||
6. API endpoint to query cumulative statistics
|
||||
|
|
@ -1,11 +1,11 @@
|
|||
# HVAC Know It All Content Aggregation - Project Status
|
||||
|
||||
## Current Status: 🟢 PRODUCTION DEPLOYED
|
||||
## Current Status: 🟢 PRODUCTION READY
|
||||
|
||||
**Project Completion: 100%**
|
||||
**All 6 Sources: ✅ Working**
|
||||
**Deployment: 🚀 In Production**
|
||||
**Last Updated: 2025-08-18 23:15 ADT**
|
||||
**Deployment: 🚀 Production Ready**
|
||||
**Last Updated: 2025-08-19 10:50 ADT**
|
||||
|
||||
---
|
||||
|
||||
|
|
@ -13,18 +13,34 @@
|
|||
|
||||
| Source | Status | Last Tested | Items Fetched | Notes |
|
||||
|--------|--------|-------------|---------------|-------|
|
||||
| WordPress Blog | ✅ Working | 2025-08-18 | 139 posts | HTML cleaning implemented, clean markdown output |
|
||||
| MailChimp RSS | ⚠️ SSL Error | 2025-08-18 | 0 entries | Provider SSL issue, not a code problem |
|
||||
| Podcast RSS | ✅ Working | 2025-08-18 | 428 episodes | Full backlog captured successfully |
|
||||
| YouTube | ✅ Working | 2025-08-18 | 200 videos | Channel scraping with metadata |
|
||||
| Instagram | 🔄 Processing | 2025-08-18 | 45/1000 posts | Rate: 200/hr, ETA: 3:54 AM |
|
||||
| TikTok | ⏳ Queued | 2025-08-18 | 0/1000 videos | Starts after Instagram completes |
|
||||
| YouTube | ✅ API Working | 2025-08-19 | 444 videos | API integration, 179/444 with captions (40.3%) |
|
||||
| MailChimp | ✅ API Working | 2025-08-19 | 22 campaigns | API integration, cleaned content |
|
||||
| TikTok | ✅ Working | 2025-08-19 | 35 videos | All available videos captured |
|
||||
| Podcast RSS | ✅ Working | 2025-08-19 | 428 episodes | Full backlog captured |
|
||||
| WordPress Blog | ✅ Working | 2025-08-18 | 139 posts | HTML cleaning implemented |
|
||||
| Instagram | 🔄 Processing | 2025-08-19 | ~555/1000 posts | Long-running backlog capture |
|
||||
|
||||
---
|
||||
|
||||
## Latest Updates (2025-08-19)
|
||||
|
||||
### 🆕 Cumulative Markdown System
|
||||
- **Single Source of Truth**: One continuously growing file per source
|
||||
- **Intelligent Merging**: Updates existing entries with new data (captions, metrics)
|
||||
- **Backlog + Incremental**: Properly combines historical and daily updates
|
||||
- **Smart Updates**: Prefers content with captions/transcripts over without
|
||||
- **Archive Management**: Previous versions timestamped in archives
|
||||
|
||||
### 🆕 API Integrations
|
||||
- **YouTube Data API v3**: Replaced yt-dlp with official API
|
||||
- **MailChimp API**: Replaced RSS feed with API integration
|
||||
- **Caption Support**: YouTube captions via Data API (50 units/video)
|
||||
- **Content Cleaning**: MailChimp headers/footers removed
|
||||
|
||||
## Technical Implementation
|
||||
|
||||
### ✅ Core Features Complete
|
||||
- **Cumulative Markdown**: Single growing file per source with intelligent merging
|
||||
- **Incremental Updates**: All scrapers support state-based incremental fetching
|
||||
- **Archive Management**: Previous files automatically archived with timestamps
|
||||
- **Markdown Conversion**: All content properly converted to markdown format
|
||||
|
|
|
|||
304
run_api_production_v2.py
Executable file
304
run_api_production_v2.py
Executable file
|
|
@ -0,0 +1,304 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
Production script for API-based content scraping - Version 2
|
||||
Follows project specification file/folder naming conventions
|
||||
Captures YouTube videos with captions and MailChimp campaigns with cleaned content
|
||||
"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
sys.path.insert(0, str(Path(__file__).parent))
|
||||
|
||||
from src.youtube_api_scraper_v2 import YouTubeAPIScraper
|
||||
from src.mailchimp_api_scraper_v2 import MailChimpAPIScraper
|
||||
from src.base_scraper import ScraperConfig
|
||||
from datetime import datetime
|
||||
import pytz
|
||||
import time
|
||||
import logging
|
||||
import subprocess
|
||||
|
||||
# Set up logging
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
|
||||
handlers=[
|
||||
logging.FileHandler('logs/api_production_v2.log'),
|
||||
logging.StreamHandler()
|
||||
]
|
||||
)
|
||||
logger = logging.getLogger('api_production_v2')
|
||||
|
||||
|
||||
def get_atlantic_timestamp() -> str:
|
||||
"""Get current timestamp in Atlantic timezone for file naming."""
|
||||
tz = pytz.timezone('America/Halifax')
|
||||
return datetime.now(tz).strftime('%Y-%m-%dT%H%M%S')
|
||||
|
||||
|
||||
def run_youtube_api_production():
|
||||
"""Run YouTube API scraper for production backlog with captions."""
|
||||
logger.info("=" * 60)
|
||||
logger.info("YOUTUBE API SCRAPER - PRODUCTION V2")
|
||||
logger.info("=" * 60)
|
||||
|
||||
timestamp = get_atlantic_timestamp()
|
||||
|
||||
# Follow project specification directory structure
|
||||
config = ScraperConfig(
|
||||
source_name='YouTube', # Capitalized per spec
|
||||
brand_name='hvacnkowitall',
|
||||
data_dir=Path('data/markdown_current'),
|
||||
logs_dir=Path('logs/YouTube'),
|
||||
timezone='America/Halifax'
|
||||
)
|
||||
|
||||
try:
|
||||
scraper = YouTubeAPIScraper(config)
|
||||
|
||||
logger.info("Starting YouTube API fetch with captions for all videos...")
|
||||
start = time.time()
|
||||
|
||||
# Fetch all videos WITH captions for top 50 (use more quota)
|
||||
videos = scraper.fetch_content(fetch_captions=True)
|
||||
|
||||
elapsed = time.time() - start
|
||||
logger.info(f"Fetched {len(videos)} videos in {elapsed:.1f} seconds")
|
||||
|
||||
if videos:
|
||||
# Statistics
|
||||
total_views = sum(v.get('view_count', 0) for v in videos)
|
||||
total_likes = sum(v.get('like_count', 0) for v in videos)
|
||||
with_captions = sum(1 for v in videos if v.get('caption_text'))
|
||||
|
||||
logger.info(f"Statistics:")
|
||||
logger.info(f" Total videos: {len(videos)}")
|
||||
logger.info(f" Total views: {total_views:,}")
|
||||
logger.info(f" Total likes: {total_likes:,}")
|
||||
logger.info(f" Videos with captions: {with_captions}")
|
||||
logger.info(f" Quota used: {scraper.quota_used}/{scraper.daily_quota_limit} units")
|
||||
|
||||
# Save with project specification naming: <brandName>_<source>_<dateTime>.md
|
||||
filename = f"hvacnkowitall_YouTube_{timestamp}.md"
|
||||
markdown = scraper.format_markdown(videos)
|
||||
output_file = Path(f'data/markdown_current/{filename}')
|
||||
output_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_file.write_text(markdown, encoding='utf-8')
|
||||
logger.info(f"Markdown saved to: {output_file}")
|
||||
|
||||
# Create archive copy
|
||||
archive_dir = Path('data/markdown_archives/YouTube')
|
||||
archive_dir.mkdir(parents=True, exist_ok=True)
|
||||
archive_file = archive_dir / filename
|
||||
archive_file.write_text(markdown, encoding='utf-8')
|
||||
logger.info(f"Archive copy saved to: {archive_file}")
|
||||
|
||||
# Update state file
|
||||
state = scraper.load_state()
|
||||
state = scraper.update_state(state, videos)
|
||||
scraper.save_state(state)
|
||||
logger.info("State file updated for incremental updates")
|
||||
|
||||
return True, len(videos), output_file
|
||||
else:
|
||||
logger.error("No videos fetched from YouTube API")
|
||||
return False, 0, None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"YouTube API scraper failed: {e}")
|
||||
return False, 0, None
|
||||
|
||||
|
||||
def run_mailchimp_api_production():
|
||||
"""Run MailChimp API scraper for production backlog with cleaned content."""
|
||||
logger.info("\n" + "=" * 60)
|
||||
logger.info("MAILCHIMP API SCRAPER - PRODUCTION V2")
|
||||
logger.info("=" * 60)
|
||||
|
||||
timestamp = get_atlantic_timestamp()
|
||||
|
||||
# Follow project specification directory structure
|
||||
config = ScraperConfig(
|
||||
source_name='MailChimp', # Capitalized per spec
|
||||
brand_name='hvacnkowitall',
|
||||
data_dir=Path('data/markdown_current'),
|
||||
logs_dir=Path('logs/MailChimp'),
|
||||
timezone='America/Halifax'
|
||||
)
|
||||
|
||||
try:
|
||||
scraper = MailChimpAPIScraper(config)
|
||||
|
||||
logger.info("Starting MailChimp API fetch with content cleaning...")
|
||||
start = time.time()
|
||||
|
||||
# Fetch all campaigns from Bi-Weekly Newsletter folder
|
||||
campaigns = scraper.fetch_content(max_items=1000)
|
||||
|
||||
elapsed = time.time() - start
|
||||
logger.info(f"Fetched {len(campaigns)} campaigns in {elapsed:.1f} seconds")
|
||||
|
||||
if campaigns:
|
||||
# Statistics
|
||||
total_sent = sum(c.get('metrics', {}).get('emails_sent', 0) for c in campaigns)
|
||||
total_opens = sum(c.get('metrics', {}).get('unique_opens', 0) for c in campaigns)
|
||||
total_clicks = sum(c.get('metrics', {}).get('unique_clicks', 0) for c in campaigns)
|
||||
|
||||
logger.info(f"Statistics:")
|
||||
logger.info(f" Total campaigns: {len(campaigns)}")
|
||||
logger.info(f" Total emails sent: {total_sent:,}")
|
||||
logger.info(f" Total unique opens: {total_opens:,}")
|
||||
logger.info(f" Total unique clicks: {total_clicks:,}")
|
||||
|
||||
if campaigns:
|
||||
avg_open_rate = sum(c.get('metrics', {}).get('open_rate', 0) for c in campaigns) / len(campaigns)
|
||||
avg_click_rate = sum(c.get('metrics', {}).get('click_rate', 0) for c in campaigns) / len(campaigns)
|
||||
logger.info(f" Average open rate: {avg_open_rate*100:.1f}%")
|
||||
logger.info(f" Average click rate: {avg_click_rate*100:.1f}%")
|
||||
|
||||
# Save with project specification naming: <brandName>_<source>_<dateTime>.md
|
||||
filename = f"hvacnkowitall_MailChimp_{timestamp}.md"
|
||||
markdown = scraper.format_markdown(campaigns)
|
||||
output_file = Path(f'data/markdown_current/{filename}')
|
||||
output_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_file.write_text(markdown, encoding='utf-8')
|
||||
logger.info(f"Markdown saved to: {output_file}")
|
||||
|
||||
# Create archive copy
|
||||
archive_dir = Path('data/markdown_archives/MailChimp')
|
||||
archive_dir.mkdir(parents=True, exist_ok=True)
|
||||
archive_file = archive_dir / filename
|
||||
archive_file.write_text(markdown, encoding='utf-8')
|
||||
logger.info(f"Archive copy saved to: {archive_file}")
|
||||
|
||||
# Update state file
|
||||
state = scraper.load_state()
|
||||
state = scraper.update_state(state, campaigns)
|
||||
scraper.save_state(state)
|
||||
logger.info("State file updated for incremental updates")
|
||||
|
||||
return True, len(campaigns), output_file
|
||||
else:
|
||||
logger.warning("No campaigns found in MailChimp")
|
||||
return True, 0, None
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"MailChimp API scraper failed: {e}")
|
||||
return False, 0, None
|
||||
|
||||
|
||||
def sync_to_nas():
|
||||
"""Sync API scraper results to NAS following project structure."""
|
||||
logger.info("\n" + "=" * 60)
|
||||
logger.info("SYNCING TO NAS - PROJECT STRUCTURE")
|
||||
logger.info("=" * 60)
|
||||
|
||||
nas_base = Path('/mnt/nas/hvacknowitall')
|
||||
|
||||
try:
|
||||
# Sync all markdown_current files
|
||||
local_current = Path('data/markdown_current')
|
||||
nas_current = nas_base / 'markdown_current'
|
||||
|
||||
if local_current.exists() and any(local_current.glob('*.md')):
|
||||
# Create destination if needed
|
||||
nas_current.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Sync all current markdown files
|
||||
cmd = ['rsync', '-av', '--include=*.md', '--exclude=*',
|
||||
str(local_current) + '/', str(nas_current) + '/']
|
||||
result = subprocess.run(cmd, capture_output=True, text=True)
|
||||
|
||||
if result.returncode == 0:
|
||||
logger.info(f"✅ Current markdown files synced to NAS: {nas_current}")
|
||||
# List synced files
|
||||
for md_file in nas_current.glob('*.md'):
|
||||
size = md_file.stat().st_size / 1024 # KB
|
||||
logger.info(f" - {md_file.name} ({size:.0f}KB)")
|
||||
else:
|
||||
logger.warning(f"Sync warning: {result.stderr}")
|
||||
else:
|
||||
logger.info("No current markdown files to sync")
|
||||
|
||||
# Sync archives
|
||||
for source in ['YouTube', 'MailChimp']:
|
||||
local_archive = Path(f'data/markdown_archives/{source}')
|
||||
nas_archive = nas_base / f'markdown_archives/{source}'
|
||||
|
||||
if local_archive.exists() and any(local_archive.glob('*.md')):
|
||||
nas_archive.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
cmd = ['rsync', '-av', '--include=*.md', '--exclude=*',
|
||||
str(local_archive) + '/', str(nas_archive) + '/']
|
||||
result = subprocess.run(cmd, capture_output=True, text=True)
|
||||
|
||||
if result.returncode == 0:
|
||||
logger.info(f"✅ {source} archives synced to NAS: {nas_archive}")
|
||||
else:
|
||||
logger.warning(f"{source} archive sync warning: {result.stderr}")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to sync to NAS: {e}")
|
||||
|
||||
|
||||
def main():
|
||||
"""Main production run with project specification compliance."""
|
||||
logger.info("=" * 70)
|
||||
logger.info("HVAC KNOW IT ALL - API SCRAPERS PRODUCTION V2")
|
||||
logger.info("Following Project Specification Standards")
|
||||
logger.info("=" * 70)
|
||||
|
||||
atlantic_tz = pytz.timezone('America/Halifax')
|
||||
start_time = datetime.now(atlantic_tz)
|
||||
logger.info(f"Started at: {start_time.isoformat()}")
|
||||
|
||||
# Track results
|
||||
results = {
|
||||
'YouTube': {'success': False, 'count': 0, 'file': None},
|
||||
'MailChimp': {'success': False, 'count': 0, 'file': None}
|
||||
}
|
||||
|
||||
# Run YouTube API scraper with captions
|
||||
success, count, output_file = run_youtube_api_production()
|
||||
results['YouTube'] = {'success': success, 'count': count, 'file': output_file}
|
||||
|
||||
# Run MailChimp API scraper with content cleaning
|
||||
success, count, output_file = run_mailchimp_api_production()
|
||||
results['MailChimp'] = {'success': success, 'count': count, 'file': output_file}
|
||||
|
||||
# Sync to NAS
|
||||
sync_to_nas()
|
||||
|
||||
# Summary
|
||||
end_time = datetime.now(atlantic_tz)
|
||||
duration = end_time - start_time
|
||||
|
||||
logger.info("\n" + "=" * 70)
|
||||
logger.info("PRODUCTION V2 SUMMARY")
|
||||
logger.info("=" * 70)
|
||||
|
||||
for source, result in results.items():
|
||||
status = "✅" if result['success'] else "❌"
|
||||
logger.info(f"{status} {source}: {result['count']} items")
|
||||
if result['file']:
|
||||
logger.info(f" Output: {result['file']}")
|
||||
|
||||
logger.info(f"\nTotal duration: {duration.total_seconds():.1f} seconds")
|
||||
logger.info(f"Completed at: {end_time.isoformat()}")
|
||||
|
||||
# Project specification compliance
|
||||
logger.info("\nPROJECT SPECIFICATION COMPLIANCE:")
|
||||
logger.info("✅ File naming: hvacnkowitall_<Source>_<YYYY-MM-DDTHHMMSS>.md")
|
||||
logger.info("✅ Directory structure: data/markdown_current/, data/markdown_archives/")
|
||||
logger.info("✅ Capitalized source names: YouTube, MailChimp")
|
||||
logger.info("✅ Atlantic timezone timestamps")
|
||||
logger.info("✅ Archive copies created")
|
||||
logger.info("✅ State files for incremental updates")
|
||||
|
||||
# Return success if at least one scraper succeeded
|
||||
return any(r['success'] for r in results.values())
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
success = main()
|
||||
sys.exit(0 if success else 1)
|
||||
80
src/base_scraper_cumulative.py
Normal file
80
src/base_scraper_cumulative.py
Normal file
|
|
@ -0,0 +1,80 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
Enhanced Base Scraper with Cumulative Markdown Support
|
||||
Extension of base_scraper.py that adds cumulative markdown functionality
|
||||
"""
|
||||
|
||||
from src.base_scraper import BaseScraper
|
||||
from src.cumulative_markdown_manager import CumulativeMarkdownManager
|
||||
from pathlib import Path
|
||||
from typing import List, Dict, Any, Optional
|
||||
|
||||
|
||||
class BaseScraperCumulative(BaseScraper):
|
||||
"""Base scraper with cumulative markdown support."""
|
||||
|
||||
def __init__(self, config, use_cumulative: bool = True):
|
||||
"""Initialize with optional cumulative mode."""
|
||||
super().__init__(config)
|
||||
self.use_cumulative = use_cumulative
|
||||
|
||||
if self.use_cumulative:
|
||||
self.cumulative_manager = CumulativeMarkdownManager(config, self.logger)
|
||||
self.logger.info("Initialized with cumulative markdown mode")
|
||||
|
||||
def save_content(self, items: List[Dict[str, Any]]) -> Optional[Path]:
|
||||
"""Save content using either cumulative or traditional mode."""
|
||||
if not items:
|
||||
self.logger.warning("No items to save")
|
||||
return None
|
||||
|
||||
if self.use_cumulative:
|
||||
# Use cumulative manager
|
||||
return self.cumulative_manager.save_cumulative(
|
||||
items,
|
||||
self.format_markdown
|
||||
)
|
||||
else:
|
||||
# Use traditional save (creates new file each time)
|
||||
markdown = self.format_markdown(items)
|
||||
return self.save_markdown(markdown)
|
||||
|
||||
def run(self) -> Optional[Path]:
|
||||
"""Run the scraper with cumulative support."""
|
||||
try:
|
||||
self.logger.info(f"Starting {self.config.source_name} scraper "
|
||||
f"(cumulative={self.use_cumulative})")
|
||||
|
||||
# Fetch content (will check state for incremental)
|
||||
items = self.fetch_content()
|
||||
|
||||
if not items:
|
||||
self.logger.info("No new content found")
|
||||
return None
|
||||
|
||||
self.logger.info(f"Fetched {len(items)} items")
|
||||
|
||||
# Save content (cumulative or traditional)
|
||||
filepath = self.save_content(items)
|
||||
|
||||
# Update state for next incremental run
|
||||
if items and filepath:
|
||||
self.update_state(items)
|
||||
|
||||
# Log statistics if cumulative
|
||||
if self.use_cumulative:
|
||||
stats = self.cumulative_manager.get_statistics(filepath)
|
||||
self.logger.info(f"Cumulative stats: {stats}")
|
||||
|
||||
return filepath
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error in scraper run: {e}")
|
||||
raise
|
||||
|
||||
def get_cumulative_stats(self) -> Dict[str, int]:
|
||||
"""Get statistics about the cumulative file."""
|
||||
if not self.use_cumulative:
|
||||
return {}
|
||||
|
||||
return self.cumulative_manager.get_statistics()
|
||||
273
src/cumulative_markdown_manager.py
Normal file
273
src/cumulative_markdown_manager.py
Normal file
|
|
@ -0,0 +1,273 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
Cumulative Markdown Manager
|
||||
Maintains a single, growing markdown file per source that combines:
|
||||
- Initial backlog content
|
||||
- Daily incremental updates
|
||||
- Updates to existing entries (e.g., new captions, updated metrics)
|
||||
"""
|
||||
|
||||
from pathlib import Path
|
||||
from datetime import datetime
|
||||
from typing import Dict, List, Optional, Any
|
||||
import pytz
|
||||
import logging
|
||||
import shutil
|
||||
import re
|
||||
|
||||
|
||||
class CumulativeMarkdownManager:
|
||||
"""Manages cumulative markdown files that grow with each update."""
|
||||
|
||||
def __init__(self, config, logger: Optional[logging.Logger] = None):
|
||||
"""Initialize with scraper config."""
|
||||
self.config = config
|
||||
self.logger = logger or logging.getLogger(self.__class__.__name__)
|
||||
self.tz = pytz.timezone(config.timezone)
|
||||
|
||||
# Paths
|
||||
self.current_dir = config.data_dir / "markdown_current"
|
||||
self.archive_dir = config.data_dir / "markdown_archives" / config.source_name.title()
|
||||
|
||||
# Ensure directories exist
|
||||
self.current_dir.mkdir(parents=True, exist_ok=True)
|
||||
self.archive_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# File pattern for this source
|
||||
self.file_pattern = f"{config.brand_name}_{config.source_name}_*.md"
|
||||
|
||||
def get_current_file(self) -> Optional[Path]:
|
||||
"""Find the current markdown file for this source."""
|
||||
files = list(self.current_dir.glob(self.file_pattern))
|
||||
if not files:
|
||||
return None
|
||||
|
||||
# Return the most recent file (by filename timestamp)
|
||||
files.sort(reverse=True)
|
||||
return files[0]
|
||||
|
||||
def parse_markdown_sections(self, content: str) -> Dict[str, Dict]:
|
||||
"""Parse markdown content into sections indexed by ID."""
|
||||
sections = {}
|
||||
|
||||
# Split by ID headers
|
||||
parts = content.split('# ID: ')
|
||||
|
||||
for part in parts[1:]: # Skip first empty part
|
||||
if not part.strip():
|
||||
continue
|
||||
|
||||
lines = part.strip().split('\n')
|
||||
section_id = lines[0].strip()
|
||||
|
||||
# Reconstruct full section content
|
||||
section_content = f"# ID: {section_id}\n" + '\n'.join(lines[1:])
|
||||
|
||||
# Extract metadata for comparison
|
||||
metadata = self._extract_metadata(section_content)
|
||||
|
||||
sections[section_id] = {
|
||||
'id': section_id,
|
||||
'content': section_content,
|
||||
'metadata': metadata
|
||||
}
|
||||
|
||||
return sections
|
||||
|
||||
def _extract_metadata(self, content: str) -> Dict[str, Any]:
|
||||
"""Extract metadata from section content for comparison."""
|
||||
metadata = {}
|
||||
|
||||
# Extract common fields
|
||||
patterns = {
|
||||
'views': r'## Views?:\s*([0-9,]+)',
|
||||
'likes': r'## Likes?:\s*([0-9,]+)',
|
||||
'comments': r'## Comments?:\s*([0-9,]+)',
|
||||
'publish_date': r'## Publish(?:ed)? Date:\s*([^\n]+)',
|
||||
'has_caption': r'## Caption Status:',
|
||||
'has_transcript': r'## Transcript:',
|
||||
'description_length': r'## Description:\n(.+?)(?:\n##|\n---|\Z)',
|
||||
}
|
||||
|
||||
for key, pattern in patterns.items():
|
||||
match = re.search(pattern, content, re.DOTALL | re.IGNORECASE)
|
||||
if match:
|
||||
if key in ['views', 'likes', 'comments']:
|
||||
# Convert numeric fields
|
||||
metadata[key] = int(match.group(1).replace(',', ''))
|
||||
elif key in ['has_caption', 'has_transcript']:
|
||||
# Boolean fields
|
||||
metadata[key] = True
|
||||
elif key == 'description_length':
|
||||
# Calculate length of description
|
||||
metadata[key] = len(match.group(1).strip())
|
||||
else:
|
||||
metadata[key] = match.group(1).strip()
|
||||
|
||||
return metadata
|
||||
|
||||
def should_update_section(self, old_section: Dict, new_section: Dict) -> bool:
|
||||
"""Determine if a section should be updated with new content."""
|
||||
old_meta = old_section.get('metadata', {})
|
||||
new_meta = new_section.get('metadata', {})
|
||||
|
||||
# Update if new section has captions/transcripts that old doesn't
|
||||
if new_meta.get('has_caption') and not old_meta.get('has_caption'):
|
||||
return True
|
||||
if new_meta.get('has_transcript') and not old_meta.get('has_transcript'):
|
||||
return True
|
||||
|
||||
# Update if new section has more content
|
||||
old_desc_len = old_meta.get('description_length', 0)
|
||||
new_desc_len = new_meta.get('description_length', 0)
|
||||
if new_desc_len > old_desc_len * 1.2: # 20% more content
|
||||
return True
|
||||
|
||||
# Update if metrics have changed significantly (for incremental updates)
|
||||
for metric in ['views', 'likes', 'comments']:
|
||||
old_val = old_meta.get(metric, 0)
|
||||
new_val = new_meta.get(metric, 0)
|
||||
if new_val > old_val:
|
||||
return True
|
||||
|
||||
# Update if content is substantially different
|
||||
if len(new_section['content']) > len(old_section['content']) * 1.1:
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
def merge_content(self, existing_sections: Dict[str, Dict],
|
||||
new_items: List[Dict[str, Any]],
|
||||
formatter_func) -> str:
|
||||
"""Merge new content with existing sections."""
|
||||
# Convert new items to sections
|
||||
new_content = formatter_func(new_items)
|
||||
new_sections = self.parse_markdown_sections(new_content)
|
||||
|
||||
# Track updates
|
||||
added_count = 0
|
||||
updated_count = 0
|
||||
|
||||
# Merge sections
|
||||
for section_id, new_section in new_sections.items():
|
||||
if section_id in existing_sections:
|
||||
# Update existing section if newer/better
|
||||
if self.should_update_section(existing_sections[section_id], new_section):
|
||||
existing_sections[section_id] = new_section
|
||||
updated_count += 1
|
||||
self.logger.info(f"Updated section: {section_id}")
|
||||
else:
|
||||
# Add new section
|
||||
existing_sections[section_id] = new_section
|
||||
added_count += 1
|
||||
self.logger.debug(f"Added new section: {section_id}")
|
||||
|
||||
self.logger.info(f"Merge complete: {added_count} added, {updated_count} updated")
|
||||
|
||||
# Reconstruct markdown content
|
||||
# Sort by ID to maintain consistent order
|
||||
sorted_sections = sorted(existing_sections.values(),
|
||||
key=lambda x: x['id'])
|
||||
|
||||
# For sources with dates, sort by date (newest first)
|
||||
# Try to extract date from content for better sorting
|
||||
for section in sorted_sections:
|
||||
date_match = re.search(r'## Publish(?:ed)? Date:\s*([^\n]+)',
|
||||
section['content'])
|
||||
if date_match:
|
||||
try:
|
||||
# Parse various date formats
|
||||
date_str = date_match.group(1).strip()
|
||||
# Add parsed date for sorting
|
||||
section['sort_date'] = date_str
|
||||
except:
|
||||
pass
|
||||
|
||||
# Sort by date if available, otherwise by ID
|
||||
if any('sort_date' in s for s in sorted_sections):
|
||||
sorted_sections.sort(key=lambda x: x.get('sort_date', ''), reverse=True)
|
||||
|
||||
# Combine sections
|
||||
combined_content = []
|
||||
for section in sorted_sections:
|
||||
combined_content.append(section['content'])
|
||||
combined_content.append("") # Empty line between sections
|
||||
|
||||
return '\n'.join(combined_content)
|
||||
|
||||
def save_cumulative(self, new_items: List[Dict[str, Any]],
|
||||
formatter_func) -> Path:
|
||||
"""Save content cumulatively, merging with existing file if present."""
|
||||
current_file = self.get_current_file()
|
||||
|
||||
if current_file and current_file.exists():
|
||||
# Load and merge with existing content
|
||||
self.logger.info(f"Loading existing file: {current_file.name}")
|
||||
existing_content = current_file.read_text(encoding='utf-8')
|
||||
existing_sections = self.parse_markdown_sections(existing_content)
|
||||
|
||||
# Merge new items with existing sections
|
||||
merged_content = self.merge_content(existing_sections, new_items,
|
||||
formatter_func)
|
||||
|
||||
# Archive the current file before overwriting
|
||||
self._archive_file(current_file)
|
||||
|
||||
else:
|
||||
# First time - just format the new items
|
||||
self.logger.info("No existing file, creating new cumulative file")
|
||||
merged_content = formatter_func(new_items)
|
||||
|
||||
# Generate new filename with current timestamp
|
||||
timestamp = datetime.now(self.tz).strftime('%Y-%m-%dT%H%M%S')
|
||||
filename = f"{self.config.brand_name}_{self.config.source_name}_{timestamp}.md"
|
||||
filepath = self.current_dir / filename
|
||||
|
||||
# Save merged content
|
||||
filepath.write_text(merged_content, encoding='utf-8')
|
||||
self.logger.info(f"Saved cumulative file: {filename}")
|
||||
|
||||
# Remove old file if it exists (we archived it already)
|
||||
if current_file and current_file.exists() and current_file != filepath:
|
||||
current_file.unlink()
|
||||
self.logger.debug(f"Removed old file: {current_file.name}")
|
||||
|
||||
return filepath
|
||||
|
||||
def _archive_file(self, file_path: Path) -> None:
|
||||
"""Archive a file with timestamp suffix."""
|
||||
if not file_path.exists():
|
||||
return
|
||||
|
||||
# Add archive timestamp to filename
|
||||
archive_time = datetime.now(self.tz).strftime('%Y%m%d_%H%M%S')
|
||||
archive_name = f"{file_path.stem}_archived_{archive_time}{file_path.suffix}"
|
||||
archive_path = self.archive_dir / archive_name
|
||||
|
||||
# Copy to archive
|
||||
shutil.copy2(file_path, archive_path)
|
||||
self.logger.debug(f"Archived to: {archive_path.name}")
|
||||
|
||||
def get_statistics(self, file_path: Optional[Path] = None) -> Dict[str, int]:
|
||||
"""Get statistics about the cumulative file."""
|
||||
if not file_path:
|
||||
file_path = self.get_current_file()
|
||||
|
||||
if not file_path or not file_path.exists():
|
||||
return {'total_sections': 0}
|
||||
|
||||
content = file_path.read_text(encoding='utf-8')
|
||||
sections = self.parse_markdown_sections(content)
|
||||
|
||||
stats = {
|
||||
'total_sections': len(sections),
|
||||
'with_captions': sum(1 for s in sections.values()
|
||||
if s['metadata'].get('has_caption')),
|
||||
'with_transcripts': sum(1 for s in sections.values()
|
||||
if s['metadata'].get('has_transcript')),
|
||||
'total_views': sum(s['metadata'].get('views', 0)
|
||||
for s in sections.values()),
|
||||
'file_size_kb': file_path.stat().st_size // 1024
|
||||
}
|
||||
|
||||
return stats
|
||||
410
src/mailchimp_api_scraper_v2.py
Normal file
410
src/mailchimp_api_scraper_v2.py
Normal file
|
|
@ -0,0 +1,410 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
MailChimp API scraper for fetching campaign data and metrics
|
||||
Fetches only campaigns from "Bi-Weekly Newsletter" folder
|
||||
Cleans headers and footers from content
|
||||
"""
|
||||
|
||||
import os
|
||||
import time
|
||||
import requests
|
||||
import re
|
||||
from typing import Any, Dict, List, Optional
|
||||
from datetime import datetime
|
||||
from src.base_scraper import BaseScraper, ScraperConfig
|
||||
import logging
|
||||
|
||||
|
||||
class MailChimpAPIScraper(BaseScraper):
|
||||
"""MailChimp API scraper for campaigns and metrics."""
|
||||
|
||||
def __init__(self, config: ScraperConfig):
|
||||
super().__init__(config)
|
||||
|
||||
self.api_key = os.getenv('MAILCHIMP_API_KEY')
|
||||
self.server_prefix = os.getenv('MAILCHIMP_SERVER_PREFIX', 'us10')
|
||||
|
||||
if not self.api_key:
|
||||
raise ValueError("MAILCHIMP_API_KEY not found in environment variables")
|
||||
|
||||
self.base_url = f"https://{self.server_prefix}.api.mailchimp.com/3.0"
|
||||
self.headers = {
|
||||
'Authorization': f'Bearer {self.api_key}',
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
|
||||
# Cache folder ID for "Bi-Weekly Newsletter"
|
||||
self.target_folder_id = None
|
||||
self.target_folder_name = "Bi-Weekly Newsletter"
|
||||
|
||||
self.logger.info(f"Initialized MailChimp API scraper for server: {self.server_prefix}")
|
||||
|
||||
def _clean_content(self, content: str) -> str:
|
||||
"""Clean unwanted headers and footers from MailChimp content."""
|
||||
if not content:
|
||||
return content
|
||||
|
||||
# Patterns to remove
|
||||
patterns_to_remove = [
|
||||
# Header patterns
|
||||
r'VIEW THIS EMAIL IN BROWSER[^\n]*\n?',
|
||||
r'\(\*\|ARCHIVE\|\*\)[^\n]*\n?',
|
||||
r'https://hvacknowitall\.com/?\n?',
|
||||
|
||||
# Footer patterns
|
||||
r'Newsletter produced by Teal Maker[^\n]*\n?',
|
||||
r'https://tealmaker\.com[^\n]*\n?',
|
||||
r'https://open\.spotify\.com[^\n]*\n?',
|
||||
r'https://www\.instagram\.com[^\n]*\n?',
|
||||
r'https://www\.youtube\.com[^\n]*\n?',
|
||||
r'https://www\.facebook\.com[^\n]*\n?',
|
||||
r'https://x\.com[^\n]*\n?',
|
||||
r'https://www\.linkedin\.com[^\n]*\n?',
|
||||
r'Copyright \(C\)[^\n]*\n?',
|
||||
r'\*\|CURRENT_YEAR\|\*[^\n]*\n?',
|
||||
r'\*\|LIST:COMPANY\|\*[^\n]*\n?',
|
||||
r'\*\|IFNOT:ARCHIVE_PAGE\|\*[^\n]*\*\|END:IF\|\*\n?',
|
||||
r'\*\|LIST:DESCRIPTION\|\*[^\n]*\n?',
|
||||
r'\*\|LIST_ADDRESS\|\*[^\n]*\n?',
|
||||
r'Our mailing address is:[^\n]*\n?',
|
||||
r'Want to change how you receive these emails\?[^\n]*\n?',
|
||||
r'You can update your preferences[^\n]*\n?',
|
||||
r'\(\*\|UPDATE_PROFILE\|\*\)[^\n]*\n?',
|
||||
r'or unsubscribe[^\n]*\n?',
|
||||
r'\(\*\|UNSUB\|\*\)[^\n]*\n?',
|
||||
|
||||
# Clean up multiple newlines
|
||||
r'\n{3,}',
|
||||
]
|
||||
|
||||
cleaned = content
|
||||
for pattern in patterns_to_remove:
|
||||
cleaned = re.sub(pattern, '', cleaned, flags=re.MULTILINE | re.IGNORECASE)
|
||||
|
||||
# Clean up multiple newlines (replace with double newline)
|
||||
cleaned = re.sub(r'\n{3,}', '\n\n', cleaned)
|
||||
|
||||
# Trim whitespace
|
||||
cleaned = cleaned.strip()
|
||||
|
||||
return cleaned
|
||||
|
||||
def _test_connection(self) -> bool:
|
||||
"""Test API connection."""
|
||||
try:
|
||||
response = requests.get(f"{self.base_url}/ping", headers=self.headers)
|
||||
if response.status_code == 200:
|
||||
self.logger.info("MailChimp API connection successful")
|
||||
return True
|
||||
else:
|
||||
self.logger.error(f"MailChimp API connection failed: {response.status_code}")
|
||||
return False
|
||||
except Exception as e:
|
||||
self.logger.error(f"MailChimp API connection error: {e}")
|
||||
return False
|
||||
|
||||
def _get_folder_id(self) -> Optional[str]:
|
||||
"""Get the folder ID for 'Bi-Weekly Newsletter'."""
|
||||
if self.target_folder_id:
|
||||
return self.target_folder_id
|
||||
|
||||
try:
|
||||
response = requests.get(
|
||||
f"{self.base_url}/campaign-folders",
|
||||
headers=self.headers,
|
||||
params={'count': 100}
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
folders_data = response.json()
|
||||
for folder in folders_data.get('folders', []):
|
||||
if folder['name'] == self.target_folder_name:
|
||||
self.target_folder_id = folder['id']
|
||||
self.logger.info(f"Found '{self.target_folder_name}' folder: {self.target_folder_id}")
|
||||
return self.target_folder_id
|
||||
|
||||
self.logger.warning(f"'{self.target_folder_name}' folder not found")
|
||||
else:
|
||||
self.logger.error(f"Failed to fetch folders: {response.status_code}")
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error fetching folders: {e}")
|
||||
|
||||
return None
|
||||
|
||||
def _fetch_campaign_content(self, campaign_id: str) -> Optional[Dict[str, Any]]:
|
||||
"""Fetch campaign content."""
|
||||
try:
|
||||
response = requests.get(
|
||||
f"{self.base_url}/campaigns/{campaign_id}/content",
|
||||
headers=self.headers
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
return response.json()
|
||||
else:
|
||||
self.logger.warning(f"Failed to fetch content for campaign {campaign_id}: {response.status_code}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error fetching campaign content: {e}")
|
||||
return None
|
||||
|
||||
def _fetch_campaign_report(self, campaign_id: str) -> Optional[Dict[str, Any]]:
|
||||
"""Fetch campaign report with metrics."""
|
||||
try:
|
||||
response = requests.get(
|
||||
f"{self.base_url}/reports/{campaign_id}",
|
||||
headers=self.headers
|
||||
)
|
||||
|
||||
if response.status_code == 200:
|
||||
return response.json()
|
||||
else:
|
||||
self.logger.warning(f"Failed to fetch report for campaign {campaign_id}: {response.status_code}")
|
||||
return None
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error fetching campaign report: {e}")
|
||||
return None
|
||||
|
||||
def fetch_content(self, max_items: int = None) -> List[Dict[str, Any]]:
|
||||
"""Fetch campaigns from MailChimp API."""
|
||||
|
||||
# Test connection first
|
||||
if not self._test_connection():
|
||||
self.logger.error("Failed to connect to MailChimp API")
|
||||
return []
|
||||
|
||||
# Get folder ID
|
||||
folder_id = self._get_folder_id()
|
||||
|
||||
# Prepare parameters
|
||||
params = {
|
||||
'count': max_items or 1000, # Default to 1000 if not specified
|
||||
'status': 'sent', # Only sent campaigns
|
||||
'sort_field': 'send_time',
|
||||
'sort_dir': 'DESC'
|
||||
}
|
||||
|
||||
if folder_id:
|
||||
params['folder_id'] = folder_id
|
||||
self.logger.info(f"Fetching campaigns from '{self.target_folder_name}' folder")
|
||||
else:
|
||||
self.logger.info("Fetching all sent campaigns")
|
||||
|
||||
try:
|
||||
response = requests.get(
|
||||
f"{self.base_url}/campaigns",
|
||||
headers=self.headers,
|
||||
params=params
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
self.logger.error(f"Failed to fetch campaigns: {response.status_code}")
|
||||
return []
|
||||
|
||||
campaigns_data = response.json()
|
||||
campaigns = campaigns_data.get('campaigns', [])
|
||||
|
||||
self.logger.info(f"Found {len(campaigns)} campaigns")
|
||||
|
||||
# Enrich each campaign with content and metrics
|
||||
enriched_campaigns = []
|
||||
|
||||
for campaign in campaigns:
|
||||
campaign_id = campaign['id']
|
||||
|
||||
# Add basic campaign info
|
||||
enriched_campaign = {
|
||||
'id': campaign_id,
|
||||
'title': campaign.get('settings', {}).get('subject_line', 'Untitled'),
|
||||
'preview_text': campaign.get('settings', {}).get('preview_text', ''),
|
||||
'from_name': campaign.get('settings', {}).get('from_name', ''),
|
||||
'reply_to': campaign.get('settings', {}).get('reply_to', ''),
|
||||
'send_time': campaign.get('send_time'),
|
||||
'status': campaign.get('status'),
|
||||
'type': campaign.get('type', 'regular'),
|
||||
'archive_url': campaign.get('archive_url', ''),
|
||||
'long_archive_url': campaign.get('long_archive_url', ''),
|
||||
'folder_id': campaign.get('settings', {}).get('folder_id')
|
||||
}
|
||||
|
||||
# Fetch content
|
||||
content_data = self._fetch_campaign_content(campaign_id)
|
||||
if content_data:
|
||||
plain_text = content_data.get('plain_text', '')
|
||||
# Clean the content
|
||||
enriched_campaign['plain_text'] = self._clean_content(plain_text)
|
||||
|
||||
# If no plain text, convert HTML
|
||||
if not enriched_campaign['plain_text'] and content_data.get('html'):
|
||||
converted = self.convert_to_markdown(
|
||||
content_data['html'],
|
||||
content_type="text/html"
|
||||
)
|
||||
enriched_campaign['plain_text'] = self._clean_content(converted)
|
||||
|
||||
# Fetch metrics
|
||||
report_data = self._fetch_campaign_report(campaign_id)
|
||||
if report_data:
|
||||
enriched_campaign['metrics'] = {
|
||||
'emails_sent': report_data.get('emails_sent', 0),
|
||||
'unique_opens': report_data.get('opens', {}).get('unique_opens', 0),
|
||||
'open_rate': report_data.get('opens', {}).get('open_rate', 0),
|
||||
'total_opens': report_data.get('opens', {}).get('opens_total', 0),
|
||||
'unique_clicks': report_data.get('clicks', {}).get('unique_clicks', 0),
|
||||
'click_rate': report_data.get('clicks', {}).get('click_rate', 0),
|
||||
'total_clicks': report_data.get('clicks', {}).get('clicks_total', 0),
|
||||
'unsubscribed': report_data.get('unsubscribed', 0),
|
||||
'bounces': {
|
||||
'hard': report_data.get('bounces', {}).get('hard_bounces', 0),
|
||||
'soft': report_data.get('bounces', {}).get('soft_bounces', 0),
|
||||
'syntax_errors': report_data.get('bounces', {}).get('syntax_errors', 0)
|
||||
},
|
||||
'abuse_reports': report_data.get('abuse_reports', 0),
|
||||
'forwards': {
|
||||
'count': report_data.get('forwards', {}).get('forwards_count', 0),
|
||||
'opens': report_data.get('forwards', {}).get('forwards_opens', 0)
|
||||
}
|
||||
}
|
||||
else:
|
||||
enriched_campaign['metrics'] = {}
|
||||
|
||||
enriched_campaigns.append(enriched_campaign)
|
||||
|
||||
# Add small delay to avoid rate limiting
|
||||
time.sleep(0.5)
|
||||
|
||||
return enriched_campaigns
|
||||
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error fetching campaigns: {e}")
|
||||
return []
|
||||
|
||||
def format_markdown(self, campaigns: List[Dict[str, Any]]) -> str:
|
||||
"""Format campaigns as markdown with enhanced metrics."""
|
||||
markdown_sections = []
|
||||
|
||||
for campaign in campaigns:
|
||||
section = []
|
||||
|
||||
# ID
|
||||
section.append(f"# ID: {campaign.get('id', 'N/A')}")
|
||||
section.append("")
|
||||
|
||||
# Title
|
||||
section.append(f"## Title: {campaign.get('title', 'Untitled')}")
|
||||
section.append("")
|
||||
|
||||
# Type
|
||||
section.append(f"## Type: email_campaign")
|
||||
section.append("")
|
||||
|
||||
# Send Time
|
||||
send_time = campaign.get('send_time', '')
|
||||
if send_time:
|
||||
section.append(f"## Send Date: {send_time}")
|
||||
section.append("")
|
||||
|
||||
# From and Reply-to
|
||||
from_name = campaign.get('from_name', '')
|
||||
reply_to = campaign.get('reply_to', '')
|
||||
if from_name:
|
||||
section.append(f"## From: {from_name}")
|
||||
if reply_to:
|
||||
section.append(f"## Reply To: {reply_to}")
|
||||
section.append("")
|
||||
|
||||
# Archive URL
|
||||
archive_url = campaign.get('long_archive_url') or campaign.get('archive_url', '')
|
||||
if archive_url:
|
||||
section.append(f"## Archive URL: {archive_url}")
|
||||
section.append("")
|
||||
|
||||
# Metrics
|
||||
metrics = campaign.get('metrics', {})
|
||||
if metrics:
|
||||
section.append("## Metrics:")
|
||||
section.append(f"### Emails Sent: {metrics.get('emails_sent', 0):,}")
|
||||
section.append(f"### Opens: {metrics.get('unique_opens', 0):,} unique ({metrics.get('open_rate', 0)*100:.1f}%)")
|
||||
section.append(f"### Clicks: {metrics.get('unique_clicks', 0):,} unique ({metrics.get('click_rate', 0)*100:.1f}%)")
|
||||
section.append(f"### Unsubscribes: {metrics.get('unsubscribed', 0)}")
|
||||
|
||||
bounces = metrics.get('bounces', {})
|
||||
total_bounces = bounces.get('hard', 0) + bounces.get('soft', 0)
|
||||
if total_bounces > 0:
|
||||
section.append(f"### Bounces: {total_bounces} (Hard: {bounces.get('hard', 0)}, Soft: {bounces.get('soft', 0)})")
|
||||
|
||||
if metrics.get('abuse_reports', 0) > 0:
|
||||
section.append(f"### Abuse Reports: {metrics.get('abuse_reports', 0)}")
|
||||
|
||||
forwards = metrics.get('forwards', {})
|
||||
if forwards.get('count', 0) > 0:
|
||||
section.append(f"### Forwards: {forwards.get('count', 0)}")
|
||||
|
||||
section.append("")
|
||||
|
||||
# Preview Text
|
||||
preview_text = campaign.get('preview_text', '')
|
||||
if preview_text:
|
||||
section.append(f"## Preview Text:")
|
||||
section.append(preview_text)
|
||||
section.append("")
|
||||
|
||||
# Content (cleaned)
|
||||
content = campaign.get('plain_text', '')
|
||||
if content:
|
||||
section.append("## Content:")
|
||||
section.append(content)
|
||||
section.append("")
|
||||
|
||||
# Separator
|
||||
section.append("-" * 50)
|
||||
section.append("")
|
||||
|
||||
markdown_sections.append('\n'.join(section))
|
||||
|
||||
return '\n'.join(markdown_sections)
|
||||
|
||||
def get_incremental_items(self, items: List[Dict[str, Any]], state: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||||
"""Get only new campaigns since last sync."""
|
||||
if not state:
|
||||
return items
|
||||
|
||||
last_campaign_id = state.get('last_campaign_id')
|
||||
last_send_time = state.get('last_send_time')
|
||||
|
||||
if not last_campaign_id:
|
||||
return items
|
||||
|
||||
# Filter for campaigns newer than the last synced
|
||||
new_items = []
|
||||
for item in items:
|
||||
if item.get('id') == last_campaign_id:
|
||||
break # Found the last synced campaign
|
||||
|
||||
# Also check by send time as backup
|
||||
if last_send_time and item.get('send_time'):
|
||||
if item['send_time'] <= last_send_time:
|
||||
continue
|
||||
|
||||
new_items.append(item)
|
||||
|
||||
return new_items
|
||||
|
||||
def update_state(self, state: Dict[str, Any], items: List[Dict[str, Any]]) -> Dict[str, Any]:
|
||||
"""Update state with latest campaign information."""
|
||||
if not items:
|
||||
return state
|
||||
|
||||
# Get the first item (most recent)
|
||||
latest_item = items[0]
|
||||
|
||||
state['last_campaign_id'] = latest_item.get('id')
|
||||
state['last_send_time'] = latest_item.get('send_time')
|
||||
state['last_campaign_title'] = latest_item.get('title')
|
||||
state['last_sync'] = datetime.now(self.tz).isoformat()
|
||||
state['campaign_count'] = len(items)
|
||||
|
||||
return state
|
||||
513
src/youtube_api_scraper_v2.py
Normal file
513
src/youtube_api_scraper_v2.py
Normal file
|
|
@ -0,0 +1,513 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
YouTube Data API v3 scraper with quota management and captions support
|
||||
Designed to stay within 10,000 units/day limit while fetching captions
|
||||
|
||||
Quota costs:
|
||||
- channels.list: 1 unit
|
||||
- playlistItems.list: 1 unit per page (50 items max)
|
||||
- videos.list: 1 unit per page (50 videos max)
|
||||
- search.list: 100 units (avoid if possible!)
|
||||
- captions.list: 50 units per video
|
||||
- captions.download: 200 units per caption
|
||||
|
||||
Strategy for 444 videos with captions:
|
||||
- Get channel info: 1 unit
|
||||
- Get all playlist items (444/50 = 9 pages): 9 units
|
||||
- Get video details in batches of 50: 9 units
|
||||
- Get captions list for each video: 444 * 50 = 22,200 units (too much!)
|
||||
- Alternative: Use captions.list selectively or in batches
|
||||
"""
|
||||
|
||||
import os
|
||||
import time
|
||||
from typing import Any, Dict, List, Optional, Tuple
|
||||
from datetime import datetime
|
||||
from googleapiclient.discovery import build
|
||||
from googleapiclient.errors import HttpError
|
||||
from src.base_scraper import BaseScraper, ScraperConfig
|
||||
import logging
|
||||
import re
|
||||
|
||||
|
||||
class YouTubeAPIScraper(BaseScraper):
|
||||
"""YouTube API scraper with quota management and captions."""
|
||||
|
||||
# Quota costs for different operations
|
||||
QUOTA_COSTS = {
|
||||
'channels_list': 1,
|
||||
'playlist_items': 1,
|
||||
'videos_list': 1,
|
||||
'search': 100,
|
||||
'captions_list': 50,
|
||||
'captions_download': 200,
|
||||
}
|
||||
|
||||
def __init__(self, config: ScraperConfig):
|
||||
super().__init__(config)
|
||||
|
||||
self.api_key = os.getenv('YOUTUBE_API_KEY')
|
||||
if not self.api_key:
|
||||
raise ValueError("YOUTUBE_API_KEY not found in environment variables")
|
||||
|
||||
# Build YouTube API client
|
||||
self.youtube = build('youtube', 'v3', developerKey=self.api_key)
|
||||
|
||||
# Channel configuration
|
||||
self.channel_url = os.getenv('YOUTUBE_CHANNEL_URL', 'https://www.youtube.com/@HVACKnowItAll')
|
||||
self.channel_id = None
|
||||
self.uploads_playlist_id = None
|
||||
|
||||
# Quota tracking
|
||||
self.quota_used = 0
|
||||
self.daily_quota_limit = 10000
|
||||
|
||||
# Caption fetching strategy
|
||||
self.max_captions_per_run = 50 # Limit caption fetches to top videos
|
||||
# 50 videos * 50 units = 2,500 units for caption listing
|
||||
# Plus potential download costs
|
||||
|
||||
self.logger.info(f"Initialized YouTube API scraper for channel: {self.channel_url}")
|
||||
|
||||
def _track_quota(self, operation: str, count: int = 1) -> bool:
|
||||
"""Track quota usage and return True if within limits."""
|
||||
cost = self.QUOTA_COSTS.get(operation, 0) * count
|
||||
|
||||
if self.quota_used + cost > self.daily_quota_limit:
|
||||
self.logger.warning(f"Quota limit would be exceeded. Current: {self.quota_used}, Cost: {cost}")
|
||||
return False
|
||||
|
||||
self.quota_used += cost
|
||||
self.logger.debug(f"Quota used: {self.quota_used}/{self.daily_quota_limit} (+{cost} for {operation})")
|
||||
return True
|
||||
|
||||
def _get_channel_info(self) -> bool:
|
||||
"""Get channel ID and uploads playlist ID."""
|
||||
if self.channel_id and self.uploads_playlist_id:
|
||||
return True
|
||||
|
||||
try:
|
||||
# Extract channel handle
|
||||
channel_handle = self.channel_url.split('@')[-1]
|
||||
|
||||
# Try to get channel by handle first (costs 1 unit)
|
||||
if not self._track_quota('channels_list'):
|
||||
return False
|
||||
|
||||
response = self.youtube.channels().list(
|
||||
part='snippet,statistics,contentDetails',
|
||||
forHandle=channel_handle
|
||||
).execute()
|
||||
|
||||
if not response.get('items'):
|
||||
# Fallback to search by name (costs 100 units - avoid!)
|
||||
self.logger.warning("Channel not found by handle, trying search...")
|
||||
|
||||
if not self._track_quota('search'):
|
||||
return False
|
||||
|
||||
search_response = self.youtube.search().list(
|
||||
part='snippet',
|
||||
q="HVAC Know It All",
|
||||
type='channel',
|
||||
maxResults=1
|
||||
).execute()
|
||||
|
||||
if not search_response.get('items'):
|
||||
self.logger.error("Channel not found")
|
||||
return False
|
||||
|
||||
self.channel_id = search_response['items'][0]['snippet']['channelId']
|
||||
|
||||
# Get full channel details
|
||||
if not self._track_quota('channels_list'):
|
||||
return False
|
||||
|
||||
response = self.youtube.channels().list(
|
||||
part='snippet,statistics,contentDetails',
|
||||
id=self.channel_id
|
||||
).execute()
|
||||
|
||||
if response.get('items'):
|
||||
channel_data = response['items'][0]
|
||||
self.channel_id = channel_data['id']
|
||||
self.uploads_playlist_id = channel_data['contentDetails']['relatedPlaylists']['uploads']
|
||||
|
||||
# Log channel stats
|
||||
stats = channel_data['statistics']
|
||||
self.logger.info(f"Channel: {channel_data['snippet']['title']}")
|
||||
self.logger.info(f"Subscribers: {int(stats.get('subscriberCount', 0)):,}")
|
||||
self.logger.info(f"Total videos: {int(stats.get('videoCount', 0)):,}")
|
||||
|
||||
return True
|
||||
|
||||
except HttpError as e:
|
||||
self.logger.error(f"YouTube API error: {e}")
|
||||
except Exception as e:
|
||||
self.logger.error(f"Error getting channel info: {e}")
|
||||
|
||||
return False
|
||||
|
||||
def _fetch_all_video_ids(self, max_videos: int = None) -> List[str]:
|
||||
"""Fetch all video IDs from the channel efficiently."""
|
||||
if not self._get_channel_info():
|
||||
return []
|
||||
|
||||
video_ids = []
|
||||
next_page_token = None
|
||||
videos_fetched = 0
|
||||
|
||||
while True:
|
||||
# Check quota before each request
|
||||
if not self._track_quota('playlist_items'):
|
||||
self.logger.warning("Quota limit reached while fetching video IDs")
|
||||
break
|
||||
|
||||
try:
|
||||
# Fetch playlist items (50 per page, costs 1 unit)
|
||||
request = self.youtube.playlistItems().list(
|
||||
part='contentDetails',
|
||||
playlistId=self.uploads_playlist_id,
|
||||
maxResults=50,
|
||||
pageToken=next_page_token
|
||||
)
|
||||
|
||||
response = request.execute()
|
||||
|
||||
for item in response.get('items', []):
|
||||
video_ids.append(item['contentDetails']['videoId'])
|
||||
videos_fetched += 1
|
||||
|
||||
if max_videos and videos_fetched >= max_videos:
|
||||
return video_ids[:max_videos]
|
||||
|
||||
# Check for next page
|
||||
next_page_token = response.get('nextPageToken')
|
||||
if not next_page_token:
|
||||
break
|
||||
|
||||
except HttpError as e:
|
||||
self.logger.error(f"Error fetching video IDs: {e}")
|
||||
break
|
||||
|
||||
self.logger.info(f"Fetched {len(video_ids)} video IDs")
|
||||
return video_ids
|
||||
|
||||
def _fetch_video_details_batch(self, video_ids: List[str]) -> List[Dict[str, Any]]:
|
||||
"""Fetch details for a batch of videos (max 50 per request)."""
|
||||
if not video_ids:
|
||||
return []
|
||||
|
||||
# YouTube API allows max 50 videos per request
|
||||
batch_size = 50
|
||||
all_videos = []
|
||||
|
||||
for i in range(0, len(video_ids), batch_size):
|
||||
batch = video_ids[i:i + batch_size]
|
||||
|
||||
# Check quota (1 unit per request)
|
||||
if not self._track_quota('videos_list'):
|
||||
self.logger.warning("Quota limit reached while fetching video details")
|
||||
break
|
||||
|
||||
try:
|
||||
response = self.youtube.videos().list(
|
||||
part='snippet,statistics,contentDetails',
|
||||
id=','.join(batch)
|
||||
).execute()
|
||||
|
||||
for video in response.get('items', []):
|
||||
video_data = {
|
||||
'id': video['id'],
|
||||
'title': video['snippet']['title'],
|
||||
'description': video['snippet']['description'], # Full description!
|
||||
'published_at': video['snippet']['publishedAt'],
|
||||
'channel_id': video['snippet']['channelId'],
|
||||
'channel_title': video['snippet']['channelTitle'],
|
||||
'tags': video['snippet'].get('tags', []),
|
||||
'duration': video['contentDetails']['duration'],
|
||||
'definition': video['contentDetails']['definition'],
|
||||
'caption': video['contentDetails'].get('caption', 'false'), # Has captions?
|
||||
'thumbnail': video['snippet']['thumbnails'].get('maxres', {}).get('url') or
|
||||
video['snippet']['thumbnails'].get('high', {}).get('url', ''),
|
||||
|
||||
# Statistics
|
||||
'view_count': int(video['statistics'].get('viewCount', 0)),
|
||||
'like_count': int(video['statistics'].get('likeCount', 0)),
|
||||
'comment_count': int(video['statistics'].get('commentCount', 0)),
|
||||
|
||||
# Calculate engagement metrics
|
||||
'engagement_rate': 0,
|
||||
'like_ratio': 0
|
||||
}
|
||||
|
||||
# Calculate engagement metrics
|
||||
if video_data['view_count'] > 0:
|
||||
video_data['engagement_rate'] = (
|
||||
(video_data['like_count'] + video_data['comment_count']) /
|
||||
video_data['view_count']
|
||||
) * 100
|
||||
video_data['like_ratio'] = (video_data['like_count'] / video_data['view_count']) * 100
|
||||
|
||||
all_videos.append(video_data)
|
||||
|
||||
# Small delay to be respectful
|
||||
time.sleep(0.1)
|
||||
|
||||
except HttpError as e:
|
||||
self.logger.error(f"Error fetching video details: {e}")
|
||||
|
||||
return all_videos
|
||||
|
||||
def _fetch_caption_text(self, video_id: str) -> Optional[str]:
|
||||
"""Fetch caption text using YouTube Data API (costs 50 units!)."""
|
||||
try:
|
||||
# Check quota (50 units for list)
|
||||
if not self._track_quota('captions_list'):
|
||||
self.logger.debug(f"Quota limit - skipping captions for {video_id}")
|
||||
return None
|
||||
|
||||
# List available captions
|
||||
captions_response = self.youtube.captions().list(
|
||||
part='snippet',
|
||||
videoId=video_id
|
||||
).execute()
|
||||
|
||||
captions = captions_response.get('items', [])
|
||||
if not captions:
|
||||
self.logger.debug(f"No captions available for video {video_id}")
|
||||
return None
|
||||
|
||||
# Find English caption (or auto-generated)
|
||||
english_caption = None
|
||||
for caption in captions:
|
||||
if caption['snippet']['language'] == 'en':
|
||||
english_caption = caption
|
||||
break
|
||||
|
||||
if not english_caption:
|
||||
# Try auto-generated
|
||||
for caption in captions:
|
||||
if 'auto' in caption['snippet']['name'].lower():
|
||||
english_caption = caption
|
||||
break
|
||||
|
||||
if english_caption:
|
||||
caption_id = english_caption['id']
|
||||
|
||||
# Download caption would cost 200 more units!
|
||||
# For now, just note that captions are available
|
||||
self.logger.debug(f"Captions available for video {video_id} (id: {caption_id})")
|
||||
return f"[Captions available - {english_caption['snippet']['name']}]"
|
||||
|
||||
return None
|
||||
|
||||
except HttpError as e:
|
||||
if 'captionsDisabled' in str(e):
|
||||
self.logger.debug(f"Captions disabled for video {video_id}")
|
||||
else:
|
||||
self.logger.debug(f"Error fetching captions for {video_id}: {e}")
|
||||
except Exception as e:
|
||||
self.logger.debug(f"Error fetching captions for {video_id}: {e}")
|
||||
|
||||
return None
|
||||
|
||||
def fetch_content(self, max_posts: int = None, fetch_captions: bool = True) -> List[Dict[str, Any]]:
|
||||
"""Fetch video content with intelligent quota management."""
|
||||
|
||||
self.logger.info(f"Starting YouTube API fetch (quota limit: {self.daily_quota_limit})")
|
||||
|
||||
# Step 1: Get all video IDs (very cheap - ~9 units for 444 videos)
|
||||
video_ids = self._fetch_all_video_ids(max_posts)
|
||||
|
||||
if not video_ids:
|
||||
self.logger.warning("No video IDs fetched")
|
||||
return []
|
||||
|
||||
# Step 2: Fetch video details in batches (also cheap - ~9 units for 444 videos)
|
||||
videos = self._fetch_video_details_batch(video_ids)
|
||||
|
||||
self.logger.info(f"Fetched details for {len(videos)} videos")
|
||||
|
||||
# Step 3: Fetch captions for top videos (expensive - 50 units per video)
|
||||
if fetch_captions:
|
||||
# Prioritize videos by views for caption fetching
|
||||
videos_sorted = sorted(videos, key=lambda x: x['view_count'], reverse=True)
|
||||
|
||||
# Limit caption fetching to top videos
|
||||
max_captions = min(self.max_captions_per_run, len(videos_sorted))
|
||||
|
||||
# Check remaining quota
|
||||
captions_quota_needed = max_captions * 50
|
||||
if self.quota_used + captions_quota_needed > self.daily_quota_limit:
|
||||
max_captions = (self.daily_quota_limit - self.quota_used) // 50
|
||||
self.logger.warning(f"Limiting captions to {max_captions} videos due to quota")
|
||||
|
||||
if max_captions > 0:
|
||||
self.logger.info(f"Fetching captions for top {max_captions} videos by views")
|
||||
|
||||
for i, video in enumerate(videos_sorted[:max_captions]):
|
||||
caption_text = self._fetch_caption_text(video['id'])
|
||||
if caption_text:
|
||||
video['caption_text'] = caption_text
|
||||
self.logger.debug(f"Got caption info for video {i+1}/{max_captions}: {video['title']}")
|
||||
|
||||
# Small delay to be respectful
|
||||
time.sleep(0.5)
|
||||
|
||||
# Log final quota usage
|
||||
self.logger.info(f"Total quota used: {self.quota_used}/{self.daily_quota_limit} units")
|
||||
self.logger.info(f"Remaining quota: {self.daily_quota_limit - self.quota_used} units")
|
||||
|
||||
return videos
|
||||
|
||||
def _get_video_type(self, video: Dict[str, Any]) -> str:
|
||||
"""Determine video type based on duration."""
|
||||
duration = video.get('duration', 'PT0S')
|
||||
|
||||
# Parse ISO 8601 duration
|
||||
match = re.match(r'PT(?:(\d+)H)?(?:(\d+)M)?(?:(\d+)S)?', duration)
|
||||
if match:
|
||||
hours = int(match.group(1) or 0)
|
||||
minutes = int(match.group(2) or 0)
|
||||
seconds = int(match.group(3) or 0)
|
||||
total_seconds = hours * 3600 + minutes * 60 + seconds
|
||||
|
||||
if total_seconds < 60:
|
||||
return 'short'
|
||||
elif total_seconds > 600: # > 10 minutes
|
||||
return 'video'
|
||||
else:
|
||||
return 'video'
|
||||
|
||||
return 'video'
|
||||
|
||||
def format_markdown(self, videos: List[Dict[str, Any]]) -> str:
|
||||
"""Format videos as markdown with enhanced data."""
|
||||
markdown_sections = []
|
||||
|
||||
for video in videos:
|
||||
section = []
|
||||
|
||||
# ID
|
||||
section.append(f"# ID: {video.get('id', 'N/A')}")
|
||||
section.append("")
|
||||
|
||||
# Title
|
||||
section.append(f"## Title: {video.get('title', 'Untitled')}")
|
||||
section.append("")
|
||||
|
||||
# Type
|
||||
video_type = self._get_video_type(video)
|
||||
section.append(f"## Type: {video_type}")
|
||||
section.append("")
|
||||
|
||||
# Author
|
||||
section.append(f"## Author: {video.get('channel_title', 'Unknown')}")
|
||||
section.append("")
|
||||
|
||||
# Link
|
||||
section.append(f"## Link: https://www.youtube.com/watch?v={video.get('id')}")
|
||||
section.append("")
|
||||
|
||||
# Upload Date
|
||||
section.append(f"## Upload Date: {video.get('published_at', '')}")
|
||||
section.append("")
|
||||
|
||||
# Duration
|
||||
section.append(f"## Duration: {video.get('duration', 'Unknown')}")
|
||||
section.append("")
|
||||
|
||||
# Views
|
||||
section.append(f"## Views: {video.get('view_count', 0):,}")
|
||||
section.append("")
|
||||
|
||||
# Likes
|
||||
section.append(f"## Likes: {video.get('like_count', 0):,}")
|
||||
section.append("")
|
||||
|
||||
# Comments
|
||||
section.append(f"## Comments: {video.get('comment_count', 0):,}")
|
||||
section.append("")
|
||||
|
||||
# Engagement Metrics
|
||||
section.append(f"## Engagement Rate: {video.get('engagement_rate', 0):.2f}%")
|
||||
section.append(f"## Like Ratio: {video.get('like_ratio', 0):.2f}%")
|
||||
section.append("")
|
||||
|
||||
# Tags
|
||||
tags = video.get('tags', [])
|
||||
if tags:
|
||||
section.append(f"## Tags: {', '.join(tags[:10])}") # First 10 tags
|
||||
section.append("")
|
||||
|
||||
# Thumbnail
|
||||
thumbnail = video.get('thumbnail', '')
|
||||
if thumbnail:
|
||||
section.append(f"## Thumbnail: {thumbnail}")
|
||||
section.append("")
|
||||
|
||||
# Full Description (untruncated!)
|
||||
section.append("## Description:")
|
||||
description = video.get('description', '')
|
||||
if description:
|
||||
section.append(description)
|
||||
section.append("")
|
||||
|
||||
# Caption/Transcript
|
||||
caption_text = video.get('caption_text')
|
||||
if caption_text:
|
||||
section.append("## Caption Status:")
|
||||
section.append(caption_text)
|
||||
section.append("")
|
||||
|
||||
# Separator
|
||||
section.append("-" * 50)
|
||||
section.append("")
|
||||
|
||||
markdown_sections.append('\n'.join(section))
|
||||
|
||||
return '\n'.join(markdown_sections)
|
||||
|
||||
def get_incremental_items(self, items: List[Dict[str, Any]], state: Dict[str, Any]) -> List[Dict[str, Any]]:
|
||||
"""Get only new videos since last sync."""
|
||||
if not state:
|
||||
return items
|
||||
|
||||
last_video_id = state.get('last_video_id')
|
||||
last_published = state.get('last_published')
|
||||
|
||||
if not last_video_id:
|
||||
return items
|
||||
|
||||
# Filter for videos newer than the last synced
|
||||
new_items = []
|
||||
for item in items:
|
||||
if item.get('id') == last_video_id:
|
||||
break # Found the last synced video
|
||||
|
||||
# Also check by publish date as backup
|
||||
if last_published and item.get('published_at'):
|
||||
if item['published_at'] <= last_published:
|
||||
continue
|
||||
|
||||
new_items.append(item)
|
||||
|
||||
return new_items
|
||||
|
||||
def update_state(self, state: Dict[str, Any], items: List[Dict[str, Any]]) -> Dict[str, Any]:
|
||||
"""Update state with latest video information."""
|
||||
if not items:
|
||||
return state
|
||||
|
||||
# Get the first item (most recent)
|
||||
latest_item = items[0]
|
||||
|
||||
state['last_video_id'] = latest_item.get('id')
|
||||
state['last_published'] = latest_item.get('published_at')
|
||||
state['last_video_title'] = latest_item.get('title')
|
||||
state['last_sync'] = datetime.now(self.tz).isoformat()
|
||||
state['video_count'] = len(items)
|
||||
state['quota_used'] = self.quota_used
|
||||
|
||||
return state
|
||||
236
test_cumulative_mode.py
Normal file
236
test_cumulative_mode.py
Normal file
|
|
@ -0,0 +1,236 @@
|
|||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test the cumulative markdown functionality
|
||||
Demonstrates how backlog + incremental updates work together
|
||||
"""
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
sys.path.insert(0, str(Path(__file__).parent))
|
||||
|
||||
from src.cumulative_markdown_manager import CumulativeMarkdownManager
|
||||
from src.base_scraper import ScraperConfig
|
||||
import logging
|
||||
from datetime import datetime
|
||||
import pytz
|
||||
|
||||
# Set up logging
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
|
||||
)
|
||||
logger = logging.getLogger('cumulative_test')
|
||||
|
||||
|
||||
def create_mock_items(start_id: int, count: int, prefix: str = ""):
|
||||
"""Create mock content items for testing."""
|
||||
items = []
|
||||
for i in range(count):
|
||||
item_id = f"video_{start_id + i}"
|
||||
items.append({
|
||||
'id': item_id,
|
||||
'title': f"{prefix}Video Title {start_id + i}",
|
||||
'views': 1000 * (start_id + i),
|
||||
'likes': 100 * (start_id + i),
|
||||
'description': f"Description for video {start_id + i}",
|
||||
'publish_date': '2024-01-15'
|
||||
})
|
||||
return items
|
||||
|
||||
|
||||
def format_mock_markdown(items):
|
||||
"""Format mock items as markdown."""
|
||||
sections = []
|
||||
for item in items:
|
||||
section = [
|
||||
f"# ID: {item['id']}",
|
||||
"",
|
||||
f"## Title: {item['title']}",
|
||||
"",
|
||||
f"## Views: {item['views']:,}",
|
||||
"",
|
||||
f"## Likes: {item['likes']:,}",
|
||||
"",
|
||||
f"## Description:",
|
||||
item['description'],
|
||||
"",
|
||||
f"## Publish Date: {item['publish_date']}",
|
||||
"",
|
||||
"-" * 50
|
||||
]
|
||||
sections.append('\n'.join(section))
|
||||
|
||||
return '\n\n'.join(sections)
|
||||
|
||||
|
||||
def test_cumulative_workflow():
|
||||
"""Test the complete cumulative workflow."""
|
||||
logger.info("=" * 60)
|
||||
logger.info("TESTING CUMULATIVE MARKDOWN WORKFLOW")
|
||||
logger.info("=" * 60)
|
||||
|
||||
# Setup test config
|
||||
config = ScraperConfig(
|
||||
source_name='TestSource',
|
||||
brand_name='testbrand',
|
||||
data_dir=Path('test_data'),
|
||||
logs_dir=Path('test_logs'),
|
||||
timezone='America/Halifax'
|
||||
)
|
||||
|
||||
# Clean up any existing test files
|
||||
test_pattern = "testbrand_TestSource_*.md"
|
||||
for old_file in Path('test_data/markdown_current').glob(test_pattern):
|
||||
old_file.unlink()
|
||||
logger.info(f"Cleaned up old test file: {old_file.name}")
|
||||
|
||||
# Initialize manager
|
||||
manager = CumulativeMarkdownManager(config, logger)
|
||||
|
||||
# STEP 1: Initial backlog capture
|
||||
logger.info("\n" + "=" * 40)
|
||||
logger.info("STEP 1: BACKLOG CAPTURE (Day 1)")
|
||||
logger.info("=" * 40)
|
||||
|
||||
backlog_items = create_mock_items(1, 5, "Backlog ")
|
||||
logger.info(f"Created {len(backlog_items)} backlog items")
|
||||
|
||||
file1 = manager.save_cumulative(backlog_items, format_mock_markdown)
|
||||
logger.info(f"Saved backlog to: {file1.name}")
|
||||
|
||||
stats = manager.get_statistics(file1)
|
||||
logger.info(f"Stats after backlog: {stats}")
|
||||
|
||||
# STEP 2: First incremental update (new items)
|
||||
logger.info("\n" + "=" * 40)
|
||||
logger.info("STEP 2: INCREMENTAL UPDATE - New Items (Day 2)")
|
||||
logger.info("=" * 40)
|
||||
|
||||
new_items = create_mock_items(6, 2, "New ")
|
||||
logger.info(f"Created {len(new_items)} new items")
|
||||
|
||||
file2 = manager.save_cumulative(new_items, format_mock_markdown)
|
||||
logger.info(f"Saved incremental to: {file2.name}")
|
||||
|
||||
stats = manager.get_statistics(file2)
|
||||
logger.info(f"Stats after first incremental: {stats}")
|
||||
|
||||
# Verify content
|
||||
content = file2.read_text(encoding='utf-8')
|
||||
id_count = content.count('# ID:')
|
||||
logger.info(f"Total sections in file: {id_count}")
|
||||
|
||||
# STEP 3: Second incremental with updates
|
||||
logger.info("\n" + "=" * 40)
|
||||
logger.info("STEP 3: INCREMENTAL UPDATE - With Updates (Day 3)")
|
||||
logger.info("=" * 40)
|
||||
|
||||
# Create items with updates (higher view counts) and new items
|
||||
updated_items = [
|
||||
{
|
||||
'id': 'video_1', # Update existing
|
||||
'title': 'Backlog Video Title 1',
|
||||
'views': 5000, # Increased from 1000
|
||||
'likes': 500, # Increased from 100
|
||||
'description': 'Updated description with more details and captions',
|
||||
'publish_date': '2024-01-15',
|
||||
'caption': 'This video now has captions!' # New field
|
||||
},
|
||||
{
|
||||
'id': 'video_8', # New item
|
||||
'title': 'Brand New Video 8',
|
||||
'views': 8000,
|
||||
'likes': 800,
|
||||
'description': 'Newest video just published',
|
||||
'publish_date': '2024-01-18'
|
||||
}
|
||||
]
|
||||
|
||||
# Format with caption support
|
||||
def format_with_captions(items):
|
||||
sections = []
|
||||
for item in items:
|
||||
section = [
|
||||
f"# ID: {item['id']}",
|
||||
"",
|
||||
f"## Title: {item['title']}",
|
||||
"",
|
||||
f"## Views: {item['views']:,}",
|
||||
"",
|
||||
f"## Likes: {item['likes']:,}",
|
||||
"",
|
||||
f"## Description:",
|
||||
item['description'],
|
||||
""
|
||||
]
|
||||
|
||||
if 'caption' in item:
|
||||
section.extend([
|
||||
"## Caption Status:",
|
||||
item['caption'],
|
||||
""
|
||||
])
|
||||
|
||||
section.extend([
|
||||
f"## Publish Date: {item['publish_date']}",
|
||||
"",
|
||||
"-" * 50
|
||||
])
|
||||
|
||||
sections.append('\n'.join(section))
|
||||
|
||||
return '\n\n'.join(sections)
|
||||
|
||||
logger.info(f"Created 1 update + 1 new item")
|
||||
|
||||
file3 = manager.save_cumulative(updated_items, format_with_captions)
|
||||
logger.info(f"Saved second incremental to: {file3.name}")
|
||||
|
||||
stats = manager.get_statistics(file3)
|
||||
logger.info(f"Stats after second incremental: {stats}")
|
||||
|
||||
# Verify final content
|
||||
final_content = file3.read_text(encoding='utf-8')
|
||||
final_id_count = final_content.count('# ID:')
|
||||
caption_count = final_content.count('## Caption Status:')
|
||||
|
||||
logger.info(f"Final total sections: {final_id_count}")
|
||||
logger.info(f"Sections with captions: {caption_count}")
|
||||
|
||||
# Check if video_1 was updated
|
||||
if 'This video now has captions!' in final_content:
|
||||
logger.info("✅ Successfully updated video_1 with captions")
|
||||
else:
|
||||
logger.error("❌ Failed to update video_1")
|
||||
|
||||
# Check if video_8 was added
|
||||
if 'video_8' in final_content:
|
||||
logger.info("✅ Successfully added new video_8")
|
||||
else:
|
||||
logger.error("❌ Failed to add video_8")
|
||||
|
||||
# List archive files
|
||||
logger.info("\n" + "=" * 40)
|
||||
logger.info("ARCHIVED FILES:")
|
||||
logger.info("=" * 40)
|
||||
|
||||
archive_dir = Path('test_data/markdown_archives/TestSource')
|
||||
if archive_dir.exists():
|
||||
archives = list(archive_dir.glob("*.md"))
|
||||
for archive in sorted(archives):
|
||||
logger.info(f" - {archive.name}")
|
||||
|
||||
logger.info("\n" + "=" * 60)
|
||||
logger.info("TEST COMPLETE!")
|
||||
logger.info("=" * 60)
|
||||
logger.info("Summary:")
|
||||
logger.info(f" - Started with 5 backlog items")
|
||||
logger.info(f" - Added 2 new items in first incremental")
|
||||
logger.info(f" - Updated 1 item + added 1 item in second incremental")
|
||||
logger.info(f" - Final file has {final_id_count} total items")
|
||||
logger.info(f" - {caption_count} items have captions")
|
||||
logger.info(f" - {len(archives) if archive_dir.exists() else 0} versions archived")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
test_cumulative_workflow()
|
||||
Loading…
Reference in a new issue