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feature: telemetry logging

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This commit is contained in:
Daniel Rosel
2026-03-10 14:23:17 +01:00
parent be03b2d4d5
commit 4c7d911043
14 changed files with 454 additions and 104 deletions
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13
engine/spec.py
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@@ -31,7 +31,10 @@ def _normalize_keys(raw: Mapping[str, Any]) -> dict[str, Any]:
"study.lambda_coi": "lambda_coi",
"study.robust_radius": "robust_radius",
"study.robust_points": "robust_points",
"study.robust_rollouts": "robust_rollouts",
"study.info_value": "info_value",
"study.eta_ux": "eta_ux",
"study.reward_profit_weight": "reward_profit_weight",
"study.revenue_weight": "revenue_weight",
"optimizer.learning_rate": "learning_rate",
"optimizer.gamma": "gamma",
@@ -77,7 +80,10 @@ class StudySpec:
lambda_coi: float = 0.2
robust_radius: float = 0.15
robust_points: int = 5
robust_rollouts: int = 1
info_value: float = 1.0
eta_ux: float = 0.5
reward_profit_weight: float = 1.0
revenue_weight: float = 0.01
no_robust: bool = False
@@ -165,7 +171,10 @@ class TrainSpec:
"lambda_coi": self.study.lambda_coi,
"robust_radius": self.study.robust_radius,
"robust_points": self.study.robust_points,
"robust_rollouts": self.study.robust_rollouts,
"info_value": self.study.info_value,
"eta_ux": self.study.eta_ux,
"reward_profit_weight": self.study.reward_profit_weight,
"revenue_weight": self.study.revenue_weight,
"no_robust": self.study.no_robust,
"learning_rate": self.optimizer.learning_rate,
@@ -222,6 +231,7 @@ class TrainSpec:
base["lambda_coi"] = 0.0
base["robust_radius"] = 0.0
base["robust_points"] = 1
base["robust_rollouts"] = 1
return cls(
algorithm=AlgorithmSpec(name=str(base["algo"]).lower().strip()),
@@ -242,7 +252,10 @@ class TrainSpec:
lambda_coi=float(base["lambda_coi"]),
robust_radius=float(base["robust_radius"]),
robust_points=int(base["robust_points"]),
robust_rollouts=int(base["robust_rollouts"]),
info_value=float(base["info_value"]),
eta_ux=float(base["eta_ux"]),
reward_profit_weight=float(base["reward_profit_weight"]),
revenue_weight=float(base["revenue_weight"]),
no_robust=no_robust,
),