Compare commits
4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 473a3c8d4f | |||
| 5f094a9a48 | |||
| 7c02db907b | |||
| d682f64c01 |
+6
-3
@@ -126,9 +126,11 @@ python scripts/agent_poller.py --action get --issue N
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1. git pull origin main
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2. git checkout -b dev/issue-N-<slug>
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3. 修改功能代码 + 更新/补充 UT 和接口集成测试
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4. python -m pytest -v # 本地全量测试
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5. git commit -m "fix: <描述> - Closes #N"
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6. git push origin dev/issue-N-<slug>
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4. python -m pytest -v # 本地全量 UT/集成测试
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5. python scripts/run_pipeline.py --input "input/<文档>.docx" # 运行完整 pipeline
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6. python -m pytest tests/acceptance/ -v --run-acceptance # e2e 验收 (Layer A+B+C)
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7. git commit -m "fix: <描述> - Closes #N"
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8. git push origin dev/issue-N-<slug>
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```
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**开发原则:**
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@@ -137,6 +139,7 @@ python scripts/agent_poller.py --action get --issue N
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- 关注 IR 一致性:对同一输入的多次运行结果应尽量稳定
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- 关注功能覆盖率:确保 IR 覆盖了输入文档中的功能点
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- **验证是实际功能验证,不是 dry-run**:`pytest` 通过只是门槛,必须用真实输入文档实际运行 pipeline 确认功能生效
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- **PR 前必须通过 e2e 验收 (Layer A+B+C)**:防止修复引入回归。若无法运行完整 pipeline(API 不可用等),至少在 PR 描述中注明
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### 4. 提交 PR
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@@ -150,7 +150,20 @@ def ir_data(ir_path: str) -> dict:
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from step3_merge_and_audit import _normalize_rule
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rules = data.get("rules", [])
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if rules:
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data["rules"] = [_normalize_rule(r) for r in rules]
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normalized = []
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for i, r in enumerate(rules):
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if not isinstance(r, dict):
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continue # Skip non-dict entries defensively
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# Defensive: flatten list-type section fields (LLM produces these sometimes)
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for src in r.get("sources", []):
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sec = src.get("section")
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if isinstance(sec, list):
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src["section"] = sec[0] if sec else ""
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try:
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normalized.append(_normalize_rule(r))
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except Exception:
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normalized.append(r) # Fallback: use raw rule if normalize crashes
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data["rules"] = normalized
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return data
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Reference in New Issue
Block a user