feat: make model age admission-only
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@@ -17,7 +17,7 @@ DEFAULT_GPU_STRATEGY_PATH = Path(".modelhub_state/gpu_strategy.json")
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DEFAULT_REFRESH_SUBMISSIONS = 200
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DEFAULT_RECENT_TERMINAL_WINDOW = 1000
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DEFAULT_LONG_TERM_MIN_SAMPLES = 100
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STRATEGY_STATE_VERSION = 3
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STRATEGY_STATE_VERSION = 4
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LONG_TERM = "long_term"
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RECENT = "recent"
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@@ -291,6 +291,7 @@ class GPUStrategyManager:
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*,
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supported_gpus: list[str],
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now: datetime | None = None,
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history_records: list[dict[str, Any]] | None = None,
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) -> dict[str, Any]:
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now = now or utc_now()
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supported_gpus = list(dict.fromkeys(gpu for gpu in supported_gpus if gpu))
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@@ -304,7 +305,11 @@ class GPUStrategyManager:
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previous_generation = int(state.get("generation", -1)) if state is not None else -1
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self.log(f"[strategy] refresh_start reason={reason} supported_gpus={len(supported_gpus)}")
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try:
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tasks = self._load_platform_history(client)
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tasks = (
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list(history_records)
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if history_records is not None
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else self._load_platform_history(client)
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)
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refreshed = build_strategy_snapshot(
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tasks,
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supported_gpus=supported_gpus,
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@@ -315,6 +320,11 @@ class GPUStrategyManager:
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refresh_submissions=self.refresh_submissions,
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)
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refreshed["acceptedTotal"] = int((state or {}).get("acceptedTotal") or 0)
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refreshed["historySource"] = (
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"classified_attributable_outcomes"
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if history_records is not None
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else "raw_platform_history"
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)
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self.state = refreshed
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write_json(self.path, refreshed)
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self._log_state("refreshed")
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