diff --git a/CHANGELOG.md b/CHANGELOG.md index 51e18aee..98e29da4 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,12 @@ # 印度占星 Skill 更新日志 +## 2026-09-29 — 生时校正：学业经历的追问不再一律叫「那次上大学」，只记得年份的经历不再被说成「某年 1 月」（待验收） + +- 校正里问「那次经历更接近如愿、将就调剂、发挥失常还是说不清」的学业题，按你说的经历类型称呼：入学叫「升学」，转学/换专业等叫「学业变动」，休学/中断叫「学业中断」。此前一律写「那次上大学」，艺考等经历会被问错（BUG-1088）。 +- 只说了年份的经历，题目里只写「某年」，不再补一个「1 月」。 +- 只改题目措辞：打分、候选、排除规则都不变（同机对照逐字节一致），按规定对校正计分做了重新封存。 +- Skill 版本不 bump（Skill 文本未改）。不改数据库结构。 + ## 2026-09-29 · 首次建盘过场后不再弹提示 - 群星汇聚过场结束后，首页不再轻提示「这片天空在星盘页可以保存。」（产品决定去掉；星盘页入口已是重放 + 分享）。 diff --git a/docs/research/reported_offset_quality_wording_2026_09_29.freeze.json b/docs/research/reported_offset_quality_wording_2026_09_29.freeze.json new file mode 100644 index 00000000..96027f1e --- /dev/null +++ b/docs/research/reported_offset_quality_wording_2026_09_29.freeze.json @@ -0,0 +1,116 @@ +{ + "record_version": "reported-offset-native-candidate-date-v3", + "frozen_at_utc": "2026-09-29T00:45:23.590514+00:00", + "ayanamsa": "raman", 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"trial_count": 20, - "official_valid_independent_blind": false, - "is_blind_evaluation": false, - "truth_hidden_from_ranker": true, - "results_previously_seen": true, - "must_not_claim_as_release_metrics": true, - "must_not_use_for_tuning": true, - "verified_minute_claim_allowed": false, - "metric_gates_passed": false, - "events_per_case": 3, - "boundary": "Previously exposed v3 shadow fixed-protocol rerun after BUG-981. Production identity is contextual: shadow scorer does not call transition proximity. Prior shadow metrics are not presumed incorrect. Three-event low-information protocol is neither representative of real sessions nor a mathematical accuracy lower bound. No independent blind evidence or release claim.", + "replay_finished_at_utc": "2026-09-20T17:01:56.147759+00:00", "previous_fixed_protocol_rerun": { - "report_path": "docs/research/sealed_holdout_rerun_2026_09_20.json", - "freeze_record_path": "docs/research/sealed_holdout_rerun_2026_09_20.freeze.json", - "superseded_reason": "New production and evaluator identity; prior shadow report and freeze preserved byte-for-byte, not relabelled as new results." + "report_path": "docs/research/sealed_holdout_rerun_cross_midnight_2026_09_20.json", + "freeze_record_path": "docs/research/sealed_holdout_rerun_cross_midnight_2026_09_20.final.freeze.json", + "superseded_reason": "New production identity (BUG-981 midnight date anchor); prior report and freeze preserved byte-for-byte." } }, "current_tree_unfrozen_diagnostic": { @@ -307,15 +319,22 @@ "verified_minute_claim_allowed": false }, "current_tree_reported_offset_replay": { - "report_path": "docs/research/reported_offset_midnight_anchor_2026_09_21.json", - "report_sha256": "093d50953d7772f037401b99517b8dcaf2a1b20aa3e8ae2e692d83c6510dd02f", - "freeze_record_path": "docs/research/reported_offset_midnight_anchor_2026_09_21.freeze.json", - "freeze_record_sha256": "73848f421b133f53578dd0e0713f24fbb38a2bcf3b27609398b1ba98dbfc224c", + "report_path": "docs/research/reported_offset_quality_wording_2026_09_29.json", + "report_sha256": "45f3c2afdcd4d59b59d01a42e872318c125bafad162c578ed2808d43e5b58aca", + "freeze_record_path": "docs/research/reported_offset_quality_wording_2026_09_29.freeze.json", + "freeze_record_sha256": "7f6d015545b655d8e6b5e96d979c032cedbff904757fa3a89e996710e3fa21a2", "scope": "reported_offset_sensitivity_not_product_accuracy", "trial_count": 900, "official_valid_independent_blind": false, "official_blind_trial_count": 0, "must_not_use_for_tuning": true, "must_not_claim_as_release_metrics": true + }, + "previous_reported_offset_replay": { + "report_path": "docs/research/reported_offset_midnight_anchor_2026_09_21.json", + "report_sha256": "093d50953d7772f037401b99517b8dcaf2a1b20aa3e8ae2e692d83c6510dd02f", + "freeze_record_path": "docs/research/reported_offset_midnight_anchor_2026_09_21.freeze.json", + "freeze_record_sha256": "73848f421b133f53578dd0e0713f24fbb38a2bcf3b27609398b1ba98dbfc224c", + "superseded_reason": "BUG-1088 wording-only re-freeze of event_probes.py; 900 trials and summary identical; prior report and freeze preserved byte-for-byte." } } diff --git a/scripts/rectification/event_probes.py b/scripts/rectification/event_probes.py index 671717ee..08fd675c 100644 --- a/scripts/rectification/event_probes.py +++ b/scripts/rectification/event_probes.py @@ -954,7 +954,8 @@ def _event_month(event: dict[str, Any]) -> int | None: def _display_date_label(event: dict[str, Any]) -> str: year = _event_year(event) - month = _event_month(event) + # A year-precision event is stored as YYYY-01-01; its month is not known (BUG-1088). + month = None if str(event.get("precision") or "") == "year" else _event_month(event) if year is None: return "那次" if month: @@ -1072,11 +1073,21 @@ def _select_quality_distinguish_rows(candidates: Sequence[dict[str, Any]]) -> li return selected[:MAX_QUALITY_DISTINGUISH_PROBES] +#: What the education quality question calls the event, by kind (BUG-1088). Only the +#: kinds in `QUALITY_DISTINGUISH_EVENT_KINDS` reach the quality probe. +EDUCATION_QUALITY_EVENT_NAME = { + "education_start": "升学", + "education_change": "学业变动", + "education_interruption": "学业中断", +} + + def _quality_user_meaning(event: dict[str, Any], domain: str) -> str: label = _display_date_label(event) if domain == "education": + name = EDUCATION_QUALITY_EVENT_NAME.get(_event_kind_name(event), "学业经历") return ( - f"{label}那次上大学，更接近如愿、将就调剂、发挥失常还是说不清。" + f"{label}那次{name}，结果更接近如愿、将就调剂、发挥失常还是说不清。" "只问那次经历的实际体验，不得改时间范围。" ) family = str(DOMAIN_CATALOG[domain]["event_family"]) diff --git a/scripts/research/quality_wording_ab.py b/scripts/research/quality_wording_ab.py new file mode 100644 index 00000000..966a8896 --- /dev/null +++ b/scripts/research/quality_wording_ab.py @@ -0,0 +1,114 @@ +#!/usr/bin/env python3 +"""A/B dump for BUG-1088 (quality-probe wording, year-precision label). + +Dumps engine rows, public candidate decisions and every discriminating probe +for a few v4 open-holdout cases plus fictional cases that carry education +quality events. Run on the base and on the patched tree with the same +PYTHONHASHSEED and diff: only `user_meaning` / `display_date_label` text may +change. +""" +from __future__ import annotations + +import json +import sys +from pathlib import Path +from typing import Any +from uuid import NAMESPACE_URL, uuid5 + +ROOT = Path(__file__).resolve().parents[2] +if str(ROOT) not in sys.path: + sys.path.insert(0, str(ROOT)) + +from scripts.active_rectification_event_engine import compute_candidate_static_contexts # noqa: E402 +from scripts.rectification.decision_policy import build_candidate_decisions # noqa: E402 +from scripts.rectification.event_probes import _discriminating_event_probe_lists # noqa: E402 +from scripts.rectification.refinement_packet import window_scan # noqa: E402 +from scripts.rectification.scoring_service import ( # noqa: E402 + build_event_contribution_matrix, + score_from_matrix, + scoreable_request, +) +from scripts.research.guided_collect_holdout_replay import TODAY, load_cases # noqa: E402 +from scripts.research.minute_resolution_sweep import scoring_request_for # noqa: E402 +from scripts.rectification.contracts import normalize_rectification_request # noqa: E402 + +#: Fictional births only (no real person). Education events carry quality kinds. +FICTIONAL = [ + ("1994-06-21", "14:50", [ + ("education", "education_start", "2011-01-01", "2011-12-31", "year"), + ("education", "education_change", "2012-09-01", "2012-09-30", "month"), + ("relocation", "relocation", "2000-01-01", "2000-12-31", "year"), + ("career", "career_entry", "2017-05-01", "2017-05-31", "month"), + ]), + ("1993-11-17", "09:20", [ + ("education", "education_interruption", "2010-01-01", "2010-12-31", "year"), + ("education", "education_start", "2011-09-03", "2011-09-03", "day"), + ("career", "career_entry", "2016-07-01", "2016-07-31", "month"), + ("relocation", "relocation", "2018-01-01", "2018-12-31", "year"), + ]), +] + + +def fictional_request(birth_date: str, time: str, events: list[tuple[str, str, str, str, str]]) -> dict[str, Any]: + hh, mm = int(time[:2]), int(time[3:]) + start = f"{(hh * 60 + mm - 15) // 60:02d}:{(hh * 60 + mm - 15) % 60:02d}" + end = f"{(hh * 60 + mm + 15) // 60:02d}:{(hh * 60 + mm + 15) % 60:02d}" + return scoreable_request(normalize_rectification_request({ + "birth_date": birth_date, "start_time": start, "end_time": end, + "lat": 39.9042, "lon": 116.4074, "tz": 8.0, + "events": [ + {"id": str(uuid5(NAMESPACE_URL, f"fictional-{birth_date}-{index}")), "domain": domain, "event_kind": kind, "date_start": lo, + "date_end": hi, "precision": precision, "summary": f"fictional {kind}"} + for index, (domain, kind, lo, hi, precision) in enumerate(events) + ], + }, today=TODAY)) + + +def dump(request: dict[str, Any]) -> dict[str, Any]: + import scripts.rectification.event_probes as event_probes + + request = {**request, "minute_step": 1} + captured: list[dict[str, Any]] = [] + original = event_probes._quality_distinguish_probes + + def capture(*args: Any, **kwargs: Any) -> list[dict[str, Any]]: + rows = original(*args, **kwargs) + captured.extend(rows) + return rows + + # Quality probes are ranked after the boundary probes and often fall past MAX_PROBES; + # capture the builder output so the A/B sees them. Restored below. + event_probes._quality_distinguish_probes = capture + contexts = compute_candidate_static_contexts(request) + built = build_event_contribution_matrix(request, static_contexts=contexts) + rows = score_from_matrix(request, built) + times = [str(row["time"])[:5] for row in rows] + probes, dropped = _discriminating_event_probe_lists( + {**request, "refresh_probes": False, "asked_probe_keys": []}, built, + scan=window_scan(built), candidate_times=times, representative_time=times[len(times) // 2], + today=TODAY, + ) + event_probes._quality_distinguish_probes = original + assert event_probes._quality_distinguish_probes is original + decisions = build_candidate_decisions(rows, result_id="ab", static_contexts=contexts) + return { + "rows": [{"time": str(row["time"])[:5], "score": str(row.get("score"))} for row in rows], + "decisions": decisions, + "probes": probes, + "dropped": dropped, + "quality_built": captured, + } + + +def main() -> int: + out: dict[str, Any] = {} + for case in load_cases()[:4]: + out[str(case["case_id"])] = dump(scoring_request_for(case, 10)) + for birth_date, time, events in FICTIONAL: + out[f"fictional-{birth_date}"] = dump(fictional_request(birth_date, time, events)) + json.dump(out, sys.stdout, ensure_ascii=False, indent=1, sort_keys=True, default=str) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/scripts/research/reported_offset_sweep.py b/scripts/research/reported_offset_sweep.py index 44434b87..84391546 100644 --- a/scripts/research/reported_offset_sweep.py +++ b/scripts/research/reported_offset_sweep.py @@ -30,8 +30,8 @@ from scripts.research.sealed_holdout_rerun import ( OFFSETS = (-30, -20, -15, -10, -8, -5, -3, 0, 3, 5, 8, 10, 15, 20, 30) RADII = (15, 30, 60) MINUTE_STEP = 1 -FREEZE = ROOT / "docs/research/reported_offset_midnight_anchor_2026_09_21.freeze.json" -REPORT = ROOT / "docs/research/reported_offset_midnight_anchor_2026_09_21.json" +FREEZE = ROOT / "docs/research/reported_offset_quality_wording_2026_09_29.freeze.json" +REPORT = ROOT / "docs/research/reported_offset_quality_wording_2026_09_29.json" LEGACY_REPORT = ROOT / "docs/research/reported_offset_2026_09_20.json" diff --git a/scripts/research/sealed_holdout_rerun.py b/scripts/research/sealed_holdout_rerun.py index 653a0cf4..83896cfb 100644 --- a/scripts/research/sealed_holdout_rerun.py +++ b/scripts/research/sealed_holdout_rerun.py @@ -27,8 +27,8 @@ from scripts.minute_rectification_feature_facts_v4 import build_feature_fact_row from scripts.minute_rectification_holdout_validator import validate DATASET = ROOT / "references/real_case_calibration/minute_rectification_holdout_v3.json" -FREEZE = ROOT / "docs/research/sealed_holdout_rerun_midnight_anchor_2026_09_21.freeze.json" -REPORT = ROOT / "docs/research/sealed_holdout_rerun_midnight_anchor_2026_09_21.json" +FREEZE = ROOT / "docs/research/sealed_holdout_rerun_quality_wording_2026_09_29.freeze.json" +REPORT = ROOT / "docs/research/sealed_holdout_rerun_quality_wording_2026_09_29.json" LEGACY_REPORT = ROOT / "docs/research/sealed_holdout_rerun_2026_09_20.json" ARCHIVE = ROOT / "docs/research/history/rectification_pre_cross_midnight_2026_09_20" PRODUCTION_FILES = [ diff --git a/tests/test_rectification_event_probes.py b/tests/test_rectification_event_probes.py index e7a92bd9..56010517 100644 --- a/tests/test_rectification_event_probes.py +++ b/tests/test_rectification_event_probes.py @@ -1185,3 +1185,48 @@ class DomainAliasTests(unittest.TestCase): if __name__ == "__main__": unittest.main() + + +class QualityWordingTests(unittest.TestCase): + """BUG-1088: the education quality question names the event by kind and + never invents a month for a year-precision event.""" + + def _meaning(self, kind: str, date: str, precision: str) -> tuple[str, str]: + event = { + **_education_event("00000000-0000-4000-8000-000000001088", kind, date, "fictional"), + "precision": precision, + } + rows = _quality_rows(event) + self.assertEqual(len(rows), 1) + return rows[0]["user_meaning"], rows[0]["display_date_label"] + + def test_education_kinds_are_not_all_called_university(self) -> None: + for kind, name in ( + ("education_start", "那次升学"), + ("education_change", "那次学业变动"), + ("education_interruption", "那次学业中断"), + ): + with self.subTest(kind=kind): + meaning, _label = self._meaning(kind, "2011-03-01", "month") + self.assertIn(name, meaning) + self.assertNotIn("上大学", meaning) + + def test_year_precision_event_has_no_month_in_label(self) -> None: + meaning, label = self._meaning("education_start", "2011-01-01", "year") + self.assertEqual(label, "2011 年") + self.assertTrue(meaning.startswith("2011 年那次升学")) + self.assertNotIn("1 月", meaning) + + def test_month_precision_event_keeps_month(self) -> None: + meaning, label = self._meaning("education_change", "2012-09-01", "month") + self.assertEqual(label, "2012 年 9 月") + self.assertTrue(meaning.startswith("2012 年 9 月那次学业变动")) + + def test_year_precision_keeps_split_hash_month_for_scoring_identity(self) -> None: + # Only the wording changes; the split hash still carries the stored month so + # probe identity (and every frozen score) is unchanged. + rows = _quality_rows({ + **_education_event("00000000-0000-4000-8000-000000001089", "education_start", "2011-01-01", "fictional"), + "precision": "year", + }) + self.assertEqual(rows[0]["month"], 1) diff --git a/tests/test_sealed_holdout_contract_freshness.py b/tests/test_sealed_holdout_contract_freshness.py index 3e9783c1..3caa895d 100644 --- a/tests/test_sealed_holdout_contract_freshness.py +++ b/tests/test_sealed_holdout_contract_freshness.py @@ -23,6 +23,8 @@ IDENTITY_FORBIDDEN_PREFIXES = ( "references/rectification_sealed_holdout.v1.json", "docs/research/sealed_holdout_rerun_midnight_anchor_2026_09_21", "docs/research/reported_offset_midnight_anchor_2026_09_21", + "docs/research/sealed_holdout_rerun_quality_wording_2026_09_29", + "docs/research/reported_offset_quality_wording_2026_09_29", "docs/research/history/", "artifacts/", )