Codex
115 lines
4.0 KiB
Python
115 lines
4.0 KiB
Python
from pathlib import Path
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import json
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import os
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import sys
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from sqlalchemy.exc import SQLAlchemyError
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ROOT = Path(__file__).resolve().parents[1]
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os.environ.setdefault("DATABASE_URL", "postgresql+psycopg://user:pass@localhost:5432/ai_ict_test")
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if str(ROOT) not in sys.path:
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sys.path.insert(0, str(ROOT))
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from src.services.trading_plans import TradingPlanService
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DEFAULT_TRADING_PLAN_SYMBOLS = ("BTC-USDT", "ETH-USDT")
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def build_trading_plan_symbols_from_env(env=None) -> tuple[str, ...]:
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env = os.environ if env is None else env
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raw_value = str(env.get("TRADING_PLAN_SYMBOLS") or ",".join(DEFAULT_TRADING_PLAN_SYMBOLS))
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symbols = tuple(item.strip() for item in raw_value.split(",") if item.strip())
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return symbols or DEFAULT_TRADING_PLAN_SYMBOLS
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def build_trading_plan_timeframe_set_from_env(env=None) -> dict:
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env = os.environ if env is None else env
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bias_tf = str(env.get("AI_ICT_BIAS_TIMEFRAME") or env.get("TRADING_PLAN_BIAS_TIMEFRAME") or "1m")
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setup_tf = str(env.get("AI_ICT_SETUP_TIMEFRAME") or env.get("TRADING_PLAN_SETUP_TIMEFRAME") or bias_tf)
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trigger_tf = str(env.get("AI_ICT_TRIGGER_TIMEFRAME") or env.get("TRADING_PLAN_TRIGGER_TIMEFRAME") or setup_tf)
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return {
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"bias_tf": bias_tf,
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"setup_tf": setup_tf,
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"trigger_tf": trigger_tf,
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}
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def main(env=None) -> int:
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env = os.environ if env is None else env
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output_json = _get_bool(env, "TRADING_PLANS_OUTPUT_JSON", False)
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symbols = build_trading_plan_symbols_from_env(env=env)
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timeframe_set = build_trading_plan_timeframe_set_from_env(env=env)
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service = TradingPlanService()
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plans = []
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try:
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for symbol in symbols:
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instrument = service.repository.fetch_instrument_by_symbol(symbol)
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if not instrument:
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plans.append(
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{
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"symbol": symbol,
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"passed": False,
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"error": "instrument_not_found",
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}
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)
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continue
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candidate = service.build_plan(
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instrument_id=int(instrument["id"]),
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bias_tf=timeframe_set["bias_tf"],
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setup_tf=timeframe_set["setup_tf"],
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trigger_tf=timeframe_set["trigger_tf"],
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)
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plan_id = service.persist_plan(candidate)
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plans.append(
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{
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"symbol": symbol,
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"instrument_id": int(instrument["id"]),
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"passed": True,
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"plan_id": plan_id,
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"status": candidate.status,
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"bias": candidate.bias,
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"has_draw": bool(candidate.primary_draw),
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"has_invalidation": bool(candidate.invalidations),
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"no_trade_conditions": candidate.no_trade_conditions,
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}
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)
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except SQLAlchemyError as exc:
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payload = {
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"passed": False,
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"symbols": list(symbols),
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"timeframe_set": timeframe_set,
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"error_type": exc.__class__.__name__,
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"error": str(exc),
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}
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if output_json:
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print(json.dumps(payload, default=str, ensure_ascii=False, sort_keys=True))
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else:
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print(f"Database unavailable for trading plan sample: {exc.__class__.__name__}")
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return 2
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payload = {
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"passed": all(plan.get("passed") for plan in plans),
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"symbols": list(symbols),
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"timeframe_set": timeframe_set,
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"plans": plans,
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}
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if output_json:
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print(json.dumps(payload, default=str, ensure_ascii=False, sort_keys=True))
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else:
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for plan in plans:
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print(json.dumps(plan, default=str, ensure_ascii=False, sort_keys=True))
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return 0 if payload["passed"] else 2
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def _get_bool(env, key: str, default: bool) -> bool:
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value = env.get(key)
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if value is None or value == "":
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return default
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return str(value).strip().lower() in {"1", "true", "yes", "on"}
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if __name__ == "__main__":
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raise SystemExit(main())
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