f6dd6304cc
- auto_credit.py: scrape Trading Economics Thailand total-vehicle-sales HTML -> total sales + new car sales YoY + vehicle production/passenger/exports - refining_energy.py: scrape EIA prices.php 3:2:1 crack spread (Gulf LLS) + WTI/Brent/gasoline - Both server-rendered HTML scrapers (har-derived-api-client pattern); EIA used instead of RBN (RBN is Cloudflare-challenged, 403 via urllib; EIA is open US gov data, HTTP 200 direct) - collect_auto_credit.py / collect_refining.py CLI -> JSON snapshot - 8 tests; full backend suite 148 OK; live verified (auto 59198/20% YoY; crack 71.10 $/bbl); static scan clean
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
"""Collect the Auto Credit factor (Trading Economics vehicle sales) to a JSON snapshot."""
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from __future__ import annotations
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import argparse
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import json
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from datetime import datetime, timezone
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from pathlib import Path
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from app import auto_credit
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def main() -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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parser.add_argument("--out", type=Path,
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help="write JSON snapshot to this file (default: stdout)")
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parser.add_argument("--timeout", type=float, default=30.0)
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args = parser.parse_args()
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snap = auto_credit.fetch_auto_credit(timeout=args.timeout)
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payload = {
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"source": "tradingeconomics",
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"retrieved_at": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
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"factor": "auto_credit",
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"data": snap.to_dict(),
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}
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text = json.dumps(payload, ensure_ascii=False, sort_keys=True, indent=2)
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if args.out:
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args.out.parent.mkdir(parents=True, exist_ok=True)
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args.out.write_text(text, encoding="utf-8")
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print(f"wrote auto_credit snapshot -> {args.out}")
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else:
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print(text)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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