Files
ai-exchange/scripts/run_risk_governor.py
T
2026-05-06 12:32:50 +08:00

106 lines
3.6 KiB
Python

from datetime import datetime, timedelta, timezone
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 scripts.run_execution import build_account_risk_state_from_env
from src.services.market_state import DEFAULT_MAX_CANDLE_AGE_SECONDS, MarketStateService
from src.services.risk import RiskContext, RiskGovernorService
def main(env=None) -> int:
env = os.environ if env is None else env
output_json = _get_bool(env, "RISK_GOVERNOR_OUTPUT_JSON", False)
instrument_id = _get_int(env, "RISK_INSTRUMENT_ID", 1)
timeframe = str(env.get("RISK_TIMEFRAME") or "1m")
execution_mode = str(env.get("RISK_EXECUTION_MODE") or "paper")
service = MarketStateService()
try:
market_state = service.build_market_state(
instrument_id=instrument_id,
timeframe=timeframe,
max_candle_age_seconds=_get_int(
env,
"MARKET_STATE_MAX_CANDLE_AGE_SECONDS",
DEFAULT_MAX_CANDLE_AGE_SECONDS,
),
news_windows=build_news_windows_from_env(env),
opening_volatility_minutes=_get_int(env, "OPENING_VOLATILITY_GUARD_MINUTES", 0),
)
quality_gate = service.repository.fetch_latest_backtest_quality_gate(instrument_id=instrument_id)
except SQLAlchemyError as exc:
payload = {
"passed": False,
"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 risk governor sample: {exc.__class__.__name__}")
return 2
context = RiskContext.from_account_state(
build_account_risk_state_from_env(env=env),
market_state=market_state,
backtest_quality_gate=quality_gate,
block_opening_volatility=_get_bool(env, "BLOCK_OPENING_VOLATILITY", False),
)
decision = RiskGovernorService().evaluate(
context=context,
execution_mode=execution_mode,
new_position=True,
)
payload = {
"passed": True,
"instrument_id": instrument_id,
"timeframe": timeframe,
"execution_mode": execution_mode,
"decision": decision.to_dict(),
}
if output_json:
print(json.dumps(payload, default=str, ensure_ascii=False, sort_keys=True))
else:
print(f"Risk governor allowed: {decision.allowed}; reject_codes: {decision.reject_codes}")
return 0
def build_news_windows_from_env(env=None) -> list[dict]:
env = os.environ if env is None else env
if not _get_bool(env, "NEWS_WINDOW_ACTIVE", False):
return []
now = datetime.now(timezone.utc)
return [
{
"id": str(env.get("NEWS_WINDOW_ID") or "env_news_window"),
"start_ts": now - timedelta(minutes=_get_int(env, "NEWS_WINDOW_MINUTES_BEFORE", 5)),
"end_ts": now + timedelta(minutes=_get_int(env, "NEWS_WINDOW_MINUTES_AFTER", 5)),
}
]
def _get_int(env, key: str, default: int) -> int:
value = env.get(key)
if value is None or value == "":
return default
return int(value)
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())