124 lines
5.3 KiB
Python
124 lines
5.3 KiB
Python
#!/usr/bin/env python3
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"""Replay a sealed public-AA holdout with the shadow fact ranker v4."""
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from __future__ import annotations
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import argparse
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import json
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from pathlib import Path
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from typing import Any
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from scripts.minute_rectification_blind_eval import (
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_candidate_moments,
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_clock_distance,
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_opaque_winner,
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_request,
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implementation_sha256,
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summarize_trials,
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)
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from scripts.minute_rectification_fact_ranker_v4 import (
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ALGORITHM_VERSION,
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rank_fact_rows,
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score_fact_ranker_v4,
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)
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from scripts.minute_rectification_feature_facts_v4 import build_feature_fact_rows
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from scripts.minute_rectification_holdout_validator import validate
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DEFAULT_MANIFEST = Path(__file__).resolve().parents[1] / "references" / "real_case_calibration" / "minute_rectification_holdout_v3.json"
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def _would_confirm(result: dict[str, Any]) -> bool:
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independent_reasons = [
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reason for reason in result["reasons"]
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if reason != "fact_ranker_v4_holdout_not_ready"
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]
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segment = result["winning_segment"]
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return (
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result["confidence"] == "high"
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and segment is not None
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and segment["width_minutes"] == 1
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and not independent_reasons
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and not result["missing_layers"]
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)
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def run(manifest_path: Path = DEFAULT_MANIFEST) -> dict[str, Any]:
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manifest = json.loads(manifest_path.read_text(encoding="utf-8"))
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validation = validate(manifest_path)
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frozen = manifest.get("frozen_scoring") or {}
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files = frozen.get("files") if isinstance(frozen.get("files"), list) else []
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actual_hash = implementation_sha256(files) if files else None
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hash_matches = actual_hash == frozen.get("implementation_sha256")
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algorithm_matches = frozen.get("algorithm_version") == ALGORITHM_VERSION
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invalid_ids = set(validation["invalid_cases"])
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trials = []
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if hash_matches and algorithm_matches:
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for case in manifest.get("cases", []):
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if case.get("case_id") in invalid_ids:
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continue
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request = _request(case, case["events"])
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candidates = _candidate_moments(case)
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fact_rows = build_feature_fact_rows(request, candidates=candidates)
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ranked_rows, _ = rank_fact_rows(fact_rows, request["events"])
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result = score_fact_ranker_v4(fact_rows, request["events"])
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true_time = case["birth"]["time"]
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true_row = next(row for row in ranked_rows if row["time"] == true_time)
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true_rank = 1 + sum(row["score"] > true_row["score"] for row in ranked_rows)
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predicted = _opaque_winner(
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manifest["benchmark_id"], case["case_id"], ranked_rows,
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)
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would_confirm = _would_confirm(result)
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sparse_request = _request(case, case["events"][:1])
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sparse_facts = build_feature_fact_rows(sparse_request, candidates=candidates)
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sparse_result = score_fact_ranker_v4(sparse_facts, sparse_request["events"])
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trials.append({
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"case_id": case["case_id"],
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"candidate_count": len(ranked_rows),
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"published_truth_revealed_after_ranking": true_time,
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"predicted_time": predicted,
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"true_rank": true_rank,
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"minute_error": _clock_distance(predicted, true_time),
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"would_confirm": would_confirm,
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"false_confirmation": would_confirm and predicted != true_time,
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"insufficient_evidence_rejected": not _would_confirm(sparse_result),
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"full_trial_reasons": result["reasons"],
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"sparse_trial_reasons": sparse_result["reasons"],
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"neighbor_stability": result["stability_diagnostics"]["neighbor_stability"],
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"leave_one_event_out": result["stability_diagnostics"]["leave_one_event_out"],
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"ablation": result["stability_diagnostics"]["ablation"],
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})
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aggregate = summarize_trials(trials, manifest.get("release_metrics") or {})
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minimum_cases_met = validation["valid_public_aa_cases"] >= validation["minimum_public_aa_cases"]
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release_ready = (
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validation["status"] == "ready_for_blind_replay"
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and hash_matches
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and algorithm_matches
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and minimum_cases_met
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and aggregate["metric_gates_passed"]
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)
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return {
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"scope": "minute_rectification_fact_ranker_v4_blind_holdout",
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"benchmark_id": manifest.get("benchmark_id"),
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"status": "release_gate_passed" if release_ready else "blocked",
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"validation": validation,
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"frozen_scoring": {
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"algorithm_matches": algorithm_matches,
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"implementation_hash_matches": hash_matches,
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"expected_sha256": frozen.get("implementation_sha256"),
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"actual_sha256": actual_hash,
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},
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"trial_count": len(trials),
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"trials": trials,
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**aggregate,
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"verified_minute_claim_allowed": release_ready,
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"boundary": "Frozen holdout outcomes may not tune v4. A scoring change requires a new algorithm version and a new sealed evaluation set.",
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}
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--manifest", type=Path, default=DEFAULT_MANIFEST)
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args = parser.parse_args()
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print(json.dumps(run(args.manifest), ensure_ascii=False, indent=2, sort_keys=True))
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