5ac5643cd2
- export_tld_prices.py: Export DB prices to JSON - import_tld_prices.py: Import prices from JSON - seed_tld_prices.py: Initial scrape from Porkbun API - tld_prices_export.json: Current price data (886 TLDs) Usage: python scripts/seed_tld_prices.py # Initial scrape python scripts/export_tld_prices.py # Backup to JSON python scripts/import_tld_prices.py # Restore from JSON
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
#!/usr/bin/env python3
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"""Export TLD prices from database to JSON file for backup/versioning."""
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import asyncio
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import json
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import sys
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from datetime import datetime
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from pathlib import Path
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# Add parent directory to path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from sqlalchemy import select
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from app.database import AsyncSessionLocal, init_db
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from app.models.tld_price import TLDPrice
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async def export_prices():
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"""Export all TLD prices to JSON."""
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await init_db()
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async with AsyncSessionLocal() as db:
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result = await db.execute(select(TLDPrice).order_by(TLDPrice.tld))
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prices = result.scalars().all()
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data = {
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"exported_at": datetime.utcnow().isoformat(),
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"total_records": len(prices),
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"prices": [
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{
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"tld": p.tld,
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"registrar": p.registrar,
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"registration_price": p.registration_price,
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"renewal_price": p.renewal_price,
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"transfer_price": p.transfer_price,
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"currency": p.currency,
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"promo_price": p.promo_price,
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"recorded_at": p.recorded_at.isoformat() if p.recorded_at else None,
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}
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for p in prices
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]
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}
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# Save to file
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output_path = Path(__file__).parent / "tld_prices_export.json"
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with open(output_path, "w") as f:
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json.dump(data, f, indent=2)
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print(f"Exported {len(prices)} TLD prices to {output_path}")
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return output_path
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if __name__ == "__main__":
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asyncio.run(export_prices())
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