3f7fccd25b
- energy_thai.py: scrape Thai Oil (TOP) investor financial-highlights -> quarterly + annual EBITDA/Net Profit/Sales (Million Baht), largest Thai refinery - Thai-specific factor per user (energy must reflect Thai companies, not US EIA proxy); Krungsri was projection-only, TOP gives real quarterly actuals - Frequency: quarterly (documented in research note) - 4 tests; full backend suite 156 OK; compileall ok; static scan clean
30 lines
809 B
Python
30 lines
809 B
Python
"""Collect the Thai Energy/Refining factor (TOP quarterly financials) to 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 app import energy_thai
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def main() -> int:
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parser = argparse.ArgumentParser(description=__doc__)
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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 = energy_thai.fetch_energy_thai(timeout=args.timeout)
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payload = {
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"source": "thaioil",
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"retrieved_at": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
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"factor": "energy_thai",
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"data": snap.to_dict(),
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}
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print(json.dumps(payload, ensure_ascii=False, sort_keys=True, indent=2))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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