Files
ai-exchange/scripts/run_signals.py

74 lines
2.6 KiB
Python

from pathlib import Path
import json
import os
import sys
from sqlalchemy.exc import SQLAlchemyError
ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))
from src.services.bias import BiasService
from src.services.signals import MINIMAL_SIGNAL_EVIDENCE_KEYS, STRICT_SIGNAL_EVIDENCE_KEYS, SignalService
def build_signal_evidence_keys_from_env(env=None) -> tuple[str, ...]:
env = os.environ if env is None else env
mode = str(env.get("SIGNAL_EVIDENCE_MODE") or "minimal").strip().lower()
if mode == "minimal":
return MINIMAL_SIGNAL_EVIDENCE_KEYS
if mode == "strict":
return STRICT_SIGNAL_EVIDENCE_KEYS
raise ValueError(f"unsupported_signal_evidence_mode:{mode}")
def main(env=None) -> int:
env = os.environ if env is None else env
output_json = _get_bool(env, "SIGNALS_OUTPUT_JSON", False)
instrument_id = 1
bias_service = BiasService()
signal_service = SignalService(required_evidence_keys=build_signal_evidence_keys_from_env(env=env))
try:
bias = bias_service.build_bias(instrument_id=instrument_id, bias_tf='1m', setup_tf='1m', trigger_tf='1m')
bias_id = bias_service.persist_bias(instrument_id=instrument_id, bias_tf='1m', setup_tf='1m', trigger_tf='1m', candidate=bias)
signal = signal_service.build_signal(instrument_id=instrument_id, setup_tf='1m', trigger_tf='1m')
written = signal_service.persist_signal(instrument_id=instrument_id, setup_tf='1m', trigger_tf='1m', candidate=signal)
except SQLAlchemyError as exc:
payload = {
"passed": False,
"instrument_id": instrument_id,
"timeframe": "1m",
"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 signal sample: {exc.__class__.__name__}")
return 2
payload = {
"passed": True,
"instrument_id": instrument_id,
"timeframe": "1m",
"bias_snapshot_id": bias_id,
"signal_rows_written": written,
}
if output_json:
print(json.dumps(payload, default=str, ensure_ascii=False, sort_keys=True))
else:
print(f'Bias snapshot id: {bias_id}; signal rows written: {written}')
return 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())