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