hvac-kia-content/youtube_backlog_with_transcripts_slow.py
Ben Reed daab901e35 refactor: Update naming convention from hvacknowitall to hkia
Major Changes:
- Updated all code references from hvacknowitall/hvacnkowitall to hkia
- Renamed all existing markdown files to use hkia_ prefix
- Updated configuration files, scrapers, and production scripts
- Modified systemd service descriptions to use HKIA
- Changed NAS sync path to /mnt/nas/hkia

Files Updated:
- 20+ source files updated with new naming convention
- 34 markdown files renamed to hkia_* format
- All ScraperConfig brand_name parameters now use 'hkia'
- Documentation updated to reflect new naming

Rationale:
- Shorter, cleaner filenames
- Consistent branding across all outputs
- Easier to type and reference
- Maintains same functionality with improved naming

Next Steps:
- Deploy updated services to production
- Update any external references to old naming
- Monitor scrapers to ensure proper operation

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-19 13:35:23 -03:00

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5.3 KiB
Python
Executable file

#!/usr/bin/env python3
"""
YouTube Backlog Capture with Transcripts - Slow Rate Limited Version
This script captures the complete YouTube channel backlog with transcripts
using extended delays to avoid YouTube's rate limiting on transcript fetching.
Designed for overnight/extended processing with minimal intervention required.
"""
import time
import random
import logging
from pathlib import Path
from src.base_scraper import ScraperConfig
from src.youtube_scraper import YouTubeScraper
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('logs_backlog_transcripts/youtube_slow_backlog.log'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
def main():
"""Execute slow YouTube backlog capture with transcripts."""
print("=" * 80)
print("YouTube Backlog Capture with Transcripts - SLOW VERSION")
print("=" * 80)
print()
print("This script will:")
print("- Capture ALL available YouTube videos (~370 videos)")
print("- Download transcripts for each video")
print("- Use extended delays (60-120 seconds between videos)")
print("- Take 5-10 minute breaks every 5 videos")
print("- Estimated completion time: 8-12 hours")
print()
# Get user confirmation
confirm = input("This is a very long process. Continue? (y/N): ").strip().lower()
if confirm != 'y':
print("Cancelled.")
return
# Setup configuration for backlog processing
config = ScraperConfig(
source_name='youtube',
brand_name='hvacknowitall',
data_dir=Path('data_backlog_with_transcripts'),
logs_dir=Path('logs_backlog_transcripts'),
timezone='America/Halifax'
)
# Create directories
config.data_dir.mkdir(parents=True, exist_ok=True)
config.logs_dir.mkdir(parents=True, exist_ok=True)
# Initialize scraper
scraper = YouTubeScraper(config)
# Clear any existing state to ensure full backlog
if scraper.state_file.exists():
scraper.state_file.unlink()
logger.info("Cleared existing state for full backlog capture")
# Override the backlog delay method with even more conservative delays
original_backlog_delay = scraper._backlog_delay
def ultra_conservative_delay(transcript_mode=False):
"""Ultra-conservative delays for transcript fetching."""
if transcript_mode:
# 60-120 seconds for transcript requests (much longer than original 30-90)
base_delay = random.uniform(60, 120)
else:
# 30-60 seconds for basic video info (longer than original 10-30)
base_delay = random.uniform(30, 60)
# Add extra randomization
jitter = random.uniform(0.9, 1.1)
final_delay = base_delay * jitter
logger.info(f"Ultra-conservative delay: {final_delay:.1f} seconds...")
time.sleep(final_delay)
# Replace the delay method
scraper._backlog_delay = ultra_conservative_delay
print("Starting YouTube backlog capture...")
print("Monitor progress in logs_backlog_transcripts/youtube_slow_backlog.log")
print()
start_time = time.time()
try:
# Fetch content with transcripts (no max_posts = full backlog)
videos = scraper.fetch_content(
max_posts=None, # Get all videos
fetch_transcripts=True
)
# Format and save markdown
if videos:
markdown_content = scraper.format_markdown(videos)
# Save to file
output_file = config.data_dir / "youtube_backlog_with_transcripts.md"
output_file.write_text(markdown_content, encoding='utf-8')
logger.info(f"Saved {len(videos)} videos with transcripts to {output_file}")
# Statistics
total_duration = time.time() - start_time
with_transcripts = sum(1 for v in videos if v.get('transcript'))
total_views = sum(v.get('view_count', 0) for v in videos)
print()
print("=" * 80)
print("YOUTUBE BACKLOG CAPTURE COMPLETED")
print("=" * 80)
print(f"Total videos captured: {len(videos)}")
print(f"Videos with transcripts: {with_transcripts}")
print(f"Success rate: {with_transcripts/len(videos)*100:.1f}%")
print(f"Total views: {total_views:,}")
print(f"Processing time: {total_duration/3600:.1f} hours")
print(f"Output file: {output_file}")
print("=" * 80)
else:
logger.error("No videos were captured")
except KeyboardInterrupt:
logger.info("Process interrupted by user")
print("\nProcess interrupted. Partial results may be available.")
except Exception as e:
logger.error(f"Error during backlog capture: {e}")
print(f"\nError occurred: {e}")
finally:
# Restore original delay method
scraper._backlog_delay = original_backlog_delay
total_time = time.time() - start_time
print(f"\nTotal execution time: {total_time/3600:.1f} hours")
if __name__ == "__main__":
main()