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fix(rectification): name education quality events by kind, no month for year precision (BUG-1088)

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Wording only: _quality_user_meaning names start/change/interruption as
升学/学业变动/学业中断; _display_date_label drops the stored month for
year-precision events. Split hash and month field unchanged; same-machine
A/B (PYTHONHASHSEED=0) differs only in user_meaning/display_date_label.
Re-frozen per ERR-110 under new quality_wording_2026_09_29 records;
sealed rerun (20) and reported-offset sweep (900) identical to 09-21.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017eEAG8HD3mm8gsKXgk8uU8
This commit is contained in:
Jesse_Chen
2026-09-29 10:06:13 +08:00
co-authored by Claude Opus 5.5
parent 9686dfb945
commit 56b51e2170
12 changed files with 43594 additions and 103 deletions
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CHANGELOG.md
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@@ -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）。
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references/rectification_sealed_holdout.v1.json
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@@ -197,96 +290,15 @@
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}
}
scripts/rectification/event_probes.py
+13 -2
View File
@@ -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"])
scripts/research/quality_wording_ab.py
+114
View File
@@ -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())
scripts/research/reported_offset_sweep.py
+2 -2
View File
@@ -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"
scripts/research/sealed_holdout_rerun.py
+2 -2
View File
@@ -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 = [
tests/test_rectification_event_probes.py
+45
View File
@@ -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)
tests/test_sealed_holdout_contract_freshness.py
+2
View File
@@ -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/",
)