Files
ai-exchange/scripts/run_research_council_backfill_lessons.py
T
2026-05-11 23:37:47 +08:00

46 lines
1.4 KiB
Python

from __future__ import annotations
from pathlib import Path
import json
import os
import sys
ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
from src.services.research_council import ResearchCouncilService
def main(env=None) -> int:
env = os.environ if env is None else env
instrument_id = int(env.get("RESEARCH_COUNCIL_INSTRUMENT_ID", "1"))
limit = int(env.get("RESEARCH_COUNCIL_LESSON_LIMIT", "100"))
output_json = _get_bool(env, "RESEARCH_COUNCIL_OUTPUT_JSON", False)
payload = ResearchCouncilService().backfill_lessons(instrument_id=instrument_id, limit=limit)
payload["passed"] = True
_print_payload(payload, output_json=output_json)
return 0
def _print_payload(payload: dict, *, output_json: bool) -> None:
if output_json:
print(json.dumps(payload, ensure_ascii=False, sort_keys=True, default=str))
return
totals = dict(payload.get("totals") or {})
print(f"Research council lessons backfill completed for instrument {payload.get('instrument_id')}")
print(
f"Processed={totals.get('requested', 0)} created={totals.get('created', 0)} updated={totals.get('updated', 0)}"
)
def _get_bool(env, key: str, default: bool) -> bool:
value = env.get(key)
if value is None or value == "":
return default
return str(value).strip().lower() in {"1", "true", "yes", "on"}
if __name__ == "__main__":
raise SystemExit(main())