05218a873b
Production Readiness Improvements: - Fixed scheduling to match spec (8 AM & 12 PM ADT instead of 6 AM/6 PM) - Enabled NAS synchronization in production runner with error handling - Fixed file naming convention to spec format (hvacknowitall_combined_YYYY-MM-DD-THHMMSS.md) - Made systemd services portable (removed hardcoded user/paths) - Added environment variable validation on startup - Moved DISPLAY/XAUTHORITY to .env configuration Systemd Improvements: - Created template service file (@.service) for any user - Changed all paths to /opt/hvac-kia-content - Updated installation script for portable deployment - Fixed service dependencies and resource limits Documentation: - Created comprehensive PRODUCTION_TODO.md with 25 tasks - Added PRODUCTION_GUIDE.md with deployment instructions - Documented spec compliance gaps (65% complete) Remaining work includes retry logic, connection pooling, media downloads, and pytest test suite as documented in PRODUCTION_TODO.md 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
81 lines
No EOL
2.5 KiB
Python
81 lines
No EOL
2.5 KiB
Python
#!/usr/bin/env python3
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"""Test TikTok scraper with Scrapling/Camofaux."""
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import sys
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from pathlib import Path
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from dotenv import load_dotenv
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from src.tiktok_scraper_scrapling import TikTokScraperScrapling
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from src.base_scraper import ScraperConfig
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# Load environment variables
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load_dotenv()
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def test_tiktok_scraper():
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"""Test TikTok scraper with real data."""
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print("\n" + "="*60)
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print("Testing TikTok Scraper with Scrapling/Camofaux")
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print("="*60)
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# Configure scraper
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config = ScraperConfig(
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source_name="tiktok",
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brand_name="hvacknowitall",
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data_dir=Path("test_data"),
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logs_dir=Path("logs"),
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timezone="America/Halifax"
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)
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# Create scraper instance
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scraper = TikTokScraperScrapling(config)
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try:
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# Fetch posts
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print(f"\nFetching posts from @{scraper.target_username}...")
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posts = scraper.fetch_posts(max_posts=3)
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if posts:
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print(f"\n✓ Successfully fetched {len(posts)} posts")
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# Display first post
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if posts:
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first_post = posts[0]
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print("\nFirst post details:")
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print(f" ID: {first_post.get('id')}")
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print(f" Link: {first_post.get('link')}")
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print(f" Views: {first_post.get('views', 0):,}")
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caption = first_post.get('caption', '')
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if caption:
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print(f" Caption: {caption[:100]}...")
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# Generate markdown
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markdown = scraper.format_markdown(posts)
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# Save to file
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output_file = config.data_dir / "tiktok_test.md"
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output_file.parent.mkdir(parents=True, exist_ok=True)
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output_file.write_text(markdown)
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print(f"\n✓ Markdown saved to: {output_file}")
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# Show snippet of markdown
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lines = markdown.split('\n')[:20]
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print("\nMarkdown preview:")
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print("-" * 40)
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for line in lines:
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print(line)
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print("-" * 40)
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else:
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print("\n✗ No posts fetched - possible bot detection or rate limiting")
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except Exception as e:
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print(f"\n✗ Error: {e}")
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import traceback
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traceback.print_exc()
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return False
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return len(posts) > 0
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if __name__ == "__main__":
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success = test_tiktok_scraper()
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sys.exit(0 if success else 1) |