Codex
45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
from __future__ import annotations
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from tools.accept_torch_candidate import _decision
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def _report(*, validation_passed: bool = True, trades: int = 30, total: float = 10.0) -> dict:
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return {
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"recommended": {"score": 0.5},
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"full_replay": {
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"trades": trades,
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"avg_net_percent": 0.4,
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"total_net_percent": total,
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"profit_factor": 2.0,
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"max_drawdown_percent": 1.0,
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},
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"walk_forward": {"summary": {"trades": trades, "avg_net_percent": 0.3}},
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"validation": {"passed": validation_passed, "status": "pass" if validation_passed else "fail"},
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}
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def test_guard_rejects_candidate_without_honest_validation() -> None:
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decision = _decision(
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_report(),
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_report(validation_passed=False),
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min_trades=8,
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min_profit_factor=1.05,
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min_avg_net_percent=0.0,
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max_score_regression=0.05,
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)
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assert decision == {"accepted": False, "reason": "candidate_failed_honest_validation"}
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def test_guard_accepts_candidate_that_passes_honest_validation() -> None:
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decision = _decision(
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_report(total=9.0),
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_report(total=12.0),
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min_trades=8,
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min_profit_factor=1.05,
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min_avg_net_percent=0.0,
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max_score_regression=0.05,
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)
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assert decision == {"accepted": True, "reason": "candidate_passed_guard"}
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