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- Merge internal-eval into development.sh (single Celery/infra); internal-eval.sh wraps with LIFE_ECHO_WITH_INTERNAL_EVAL; EVAL_ATTACH_ONLY for attaching 8001 when :8000 is already up; document in api/docs/internal-eval.md. - Evaluation: transcript_for_judge, judge error surfacing, rubric/schema tweaks, execution_service and router updates; tests for judge and composite eval. - Memory: ingest nested transaction for embedding/enrichment rollback safety. - Conversation WS: logger.exception for pipeline errors (avoid loguru KeyError). - app-eval-web: Playground saved replays, dialogue turns helper, hash user_id for Memoir; Memoir chapter baseline↔DB row compare with title heuristics; Stories page (#memoir-stories); Markdown + copy buttons; toolbar/panel UI; react-markdown; development proxy and fixture updates.
26 lines
1.1 KiB
Markdown
26 lines
1.1 KiB
Markdown
# Evaluation rubric regression（标定与回归）
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用于在调整 `rubrics/*.py` 或 `judge_schemas.py` 后，做一次**低成本**回归，避免因 prompt/schema 改动引入静默破坏。
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## 自动化（不调用 LLM）
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```bash
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cd api && uv run pytest tests/test_judge_schemas.py tests/test_eval_composite.py -q
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```
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- `test_judge_schemas.py`：细项上限与 `total_score` 算術一致性。
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- `test_eval_composite.py`：合成分在「仅对话 / 仅回忆录 / 双侧缺失」时的语义。
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## 定性标定集
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见同目录 `fixtures.json`：描述若干**微型 transcript / 成稿片段**与**预期倾向**（区间或关键词），不绑定具体模型版本。
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变更 rubric 后建议：
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1. 跑通上述 pytest。
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2. 任选 1～2 条 fixture，用内网评测或 `EvalJudgeManualService` 对真实 GLM 跑一次人工 spot-check，对照 `expected_band` / `must_flag_issues` 是否仍合理。
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## rubric 版本
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`fixtures.json` 内 `rubric_id` 与代码中 `conversation_v1` / `memoir_v1` 对齐；大改 rubric 时请同步更新 `fixtures.json` 的说明与期望。
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