fix(rectification): downgrade yearless personality probes to tie-breakers (BUG-629)

Ask dated dasha probes first; D9/D10 and nakshatra wait until that pool is empty, score at half weight, and never eliminate. Skill 10.0.21. Co-authored-by: Cursor <cursoragent@cursor.com>
2026-09-10 00:26:58 +08:00
parent eb8a3120e5
commit fef54b6e42
41 changed files with 1452 additions and 70 deletions
@@ -0,0 +1,76 @@
+# 性格题离线命中率导出（医院记录）
+
+产品负责人在有数据库权限的环境跑。执行方不能替你跑。导出给 `scripts/rectification/varga_style_calibration_report.py` 用。
+
+只导出哈希后的 `case_id`。不要导出姓名、出生日期、地点、坐标、邮箱、原话、用户 ID。
+
+筛选在脚本里还会再做一遍：`birth_time_source = hospital_record` 且前后不确定度都 ≤ 2 分钟。SQL 先收窄，减少体积。
+
+`recorded_sign` 必须是**档案里的记录分钟**在该层的分盘星座（或月宿），不是校正后的采用分钟。星座名与选项 `sign` 用同一套中文名（例如 `天秤座`）。
+
+```sql
+-- service_role / schema_owner。输出一行一个 JSON 对象，外层再包成 {"cases":[...]}。
+-- 需要 pgcrypto：encode(digest(...), 'hex')。
+
+with latest_transition as (
+  select distinct on (t.case_id)
+    t.case_id,
+    t.inference_state
+  from public.agentic_rectification_inference_transitions t
+  order by t.case_id, t.revision desc
+),
+hospital_cases as (
+  select
+    encode(digest(c.id::text, 'sha256'), 'hex') as case_id_hash,
+    c.baseline_birth_snapshot->>'birth_time_source' as birth_time_source,
+    to_char((c.baseline_birth_snapshot->>'reported_birth_time')::time, 'HH24:MI') as recorded_minute,
+    (c.baseline_birth_snapshot->>'uncertainty_before_minutes')::int as uncertainty_before_minutes,
+    (c.baseline_birth_snapshot->>'uncertainty_after_minutes')::int as uncertainty_after_minutes,
+    lt.inference_state
+  from public.agentic_rectification_cases c
+  join latest_transition lt on lt.case_id = c.id
+  where c.baseline_birth_snapshot->>'birth_time_source' = 'hospital_record'
+    and coalesce((c.baseline_birth_snapshot->>'uncertainty_before_minutes')::int, 99) <= 2
+    and coalesce((c.baseline_birth_snapshot->>'uncertainty_after_minutes')::int, 99) <= 2
+    and nullif(c.baseline_birth_snapshot->>'reported_birth_time', '') is not null
+)
+select jsonb_build_object(
+  'cases',
+  coalesce(jsonb_agg(
+    jsonb_build_object(
+      'case_id_hash', h.case_id_hash,
+      'birth_time_source', h.birth_time_source,
+      'recorded_minute', h.recorded_minute,
+      'uncertainty_before_minutes', h.uncertainty_before_minutes,
+      'uncertainty_after_minutes', h.uncertainty_after_minutes,
+      'answers', coalesce((
+        select jsonb_agg(
+          jsonb_build_object(
+            'semantic_key', probe->>'semantic_key',
+            'answer_class', ans->>'answer_class',
+            'recorded_sign', null,  -- 用记录分钟在该层的星座/月宿填上；不要用采用分钟
+            'options', coalesce(probe->'style_options', '[]'::jsonb)
+          )
+        )
+        from jsonb_array_elements(coalesce(h.inference_state->'answered_probes', '[]'::jsonb)) ans
+        join jsonb_array_elements(coalesce(h.inference_state->'probes', '[]'::jsonb)) probe
+          on probe->>'id' = ans->>'probe_id'
+          or probe->>'semantic_key' = ans->>'semantic_key'
+        where (
+          probe->>'choice_kind' = 'varga_style'
+          or probe->>'source' = 'nakshatra_boundary'
+        )
+      ), '[]'::jsonb)
+    )
+  ), '[]'::jsonb)
+) as payload
+from hospital_cases h;
+```
+
+把结果存成 JSON 后：
+
+```bash
+.venv/bin/python scripts/rectification/varga_style_calibration_report.py export.json
+```
+
+只打印 `d9` / `d10` / `nakshatra` 的 `n` 与 `hit_rate`。命中率接近 1/3（三选一随机）时，再由产品决定是否删题。