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Author SHA1 Message Date
pzhang_zywl 7c02db907b feat: Dev-Agent PR 前加入 e2e pipeline 验收步骤 - Closes #67
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开发流程新增步骤 5-6:运行完整 pipeline + e2e 验收 (Layer A+B+C),
防止修复引入回归。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 17:34:39 +08:00
pzhang_zywl d682f64c01 Merge pull request 'fix: [bug] IR Layer A 仍失败: rules[56] 空 sources + Layer C QE Audit 100% 不合格 - 来自 #18 - Closes #64' (#65) from dev/issue-64-fix-empty-sources into main
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2026-06-02 17:25:59 +08:00
pzhang_zywl a24408521c fix: step3 _normalize_rule 为空 sources 的 rule 添加最小 text source - Closes #64
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防御性处理 LLM 输出中 sources 为空数组的情况,避免 Layer A schema 失败。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 17:25:12 +08:00
pzhang_zywl c091b6c256 Merge pull request 'fix: [bug] IR 覆盖率回归:Layer B 从 92.6% 降至 63% + Layer A 新 schema 错误 - 来自 #18 - Closes #57' (#63) from dev/issue-57-round2-ir-normalize-on-load into main
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2026-06-02 16:58:35 +08:00
pzhang_zywl cbafd30ec7 fix: acceptance test 加载 IR 时应用 _normalize_rule 修复旧 IR 文件中的 schema 问题 - Closes #57
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ir_data fixture 在加载 ir_final.json 后对每条 rule 调用 _normalize_rule,
确保旧 pipeline 输出也能受益于最新的防御性修复(非法 source type、
缺失 section 字段等)。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 16:57:48 +08:00
pzhang_zywl f84908aa36 Merge pull request 'fix: [test] agent_poller 缺少 reopen-issue 命令 - Closes #61' (#62) from test/issue-61 into main
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2026-06-02 16:48:12 +08:00
pzhang_zywl 500152510a test: agent_poller 新增 reopen-issue 命令 - Closes #61
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2026-06-02 16:47:26 +08:00
pzhang_zywl 0d5bfa9276 Merge: resolve conflict in agent_poller.py
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2026-06-02 16:21:23 +08:00
pzhang_zywl eb2af77c90 Merge pull request 'fix: [test] blocked-check 将 API 错误误判为阻塞已解除 - Closes #58' (#60) from test/issue-58 into main
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2026-06-02 16:21:03 +08:00
pzhang_zywl eccaa28b1d test: blocked-check 用 _req_safe 替代 _req 避免 API 错误误判 - Closes #58
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- 新增 _req_safe():API 错误返回 None 而非 sys.exit(1)
- blocked_check / _unblock_issues_blocked_by / _get_blocking_refs 改用 _req_safe
- API 失败时保守处理:保持 blocked 状态

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 16:20:12 +08:00
pzhang_zywl 2101a43b68 Merge pull request 'fix: [bug] IR 覆盖率回归:Layer B 从 92.6% 降至 63% + Layer A 新 schema 错误 - 来自 #18 - Closes #57' (#59) from dev/issue-57-fix-coverage-regression into main 2026-06-02 16:19:29 +08:00
pzhang_zywl 9f0872c36a Merge pull request 'fix: [bug] IR 覆盖率回归:Layer B 从 92.6% 降至 63% + Layer A 新 schema 错误 - 来自 #18 - Closes #57' (#59) from dev/issue-57-fix-coverage-regression into main
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2026-06-02 16:17:50 +08:00
pzhang_zywl d73da7cda9 test: blocked-check 用 _req_safe 替代 _req 避免 API 错误误判 - Closes #58
- 新增 _req_safe():API 错误返回 None 而非 sys.exit(1)
- blocked_check / _unblock_issues_blocked_by / _get_blocking_refs 改用 _req_safe
- API 失败时保守处理:保持 blocked 状态(不误解除)
- 验证:#18 正确识别被 #57 阻塞

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 16:17:39 +08:00
pzhang_zywl 268520d453 fix: step3 过滤非法 source type + step1 重试质量门控 - Closes #57
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- step3 _normalize_rule: 将 function_unit_description 等非法 source type 标准化为 text
- step1 覆盖反馈重试: 仅纳入实际提升覆盖率的 retry 结果,避免低质量输出稀释 ensemble
- 新增 UT: test_normalize_source_invalid_type

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 16:16:47 +08:00
pzhang_zywl 1b8baed542 Merge pull request 'fix: [bug] QE Audit inadequate_ratio 80% 功能覆盖不足 - 来自 #18 e2e - Closes #54' (#56) from dev/issue-54-coverage-feedback-retry-loop into main
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2026-06-02 15:50:15 +08:00
pzhang_zywl f2b9301fa1 fix: step1 覆盖反馈重试从 1 次增加到最多 2 次 - Closes #54
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首次重试修复完路径/格式问题后,如果覆盖率仍不达标,追加第二轮重试
以进一步补充缺失的功能单元,降低 QE Audit inadequate_ratio。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 15:49:30 +08:00
pzhang_zywl a8ba8d4b4a Merge pull request 'fix: [bug] step2 IR extraction 生成缺少 section 字段的 source - 来自 #18 e2e - Closes #53' (#55) from dev/issue-53-fix-source-section into main
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2026-06-02 15:47:49 +08:00
pzhang_zywl 1477dbdd18 fix: step3 _normalize_rule 为缺失 section 的 table/text source 补齐字段 - Closes #53
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LLM 生成的 source 有时缺少 section 字段,导致 Layer A schema 验证失败。
在 _normalize_rule 中添加防御性处理:从兄弟 source 或 rule path 推断 section。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 15:46:59 +08:00
pzhang_zywl 6d0a5284e7 Merge pull request 'fix: [test] QE-Agent bypass 模式完善:自动运行 pipeline + pytest + curl - Closes #51' (#52) from test/issue-51 into main
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2026-06-02 15:20:04 +08:00
pzhang_zywl b193aaf8f7 test: QE-Agent bypass 模式扩展 allowlist 实现全自动 e2e - Closes #51
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新增 bypass 权限:run_pipeline, pytest, curl, create_failure_issue, git 全命令

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 15:19:23 +08:00
pzhang_zywl a4ab3ef27e Merge pull request 'fix: 任何对git管理的内容的修改都应该走完整流程 - Closes #49' (#50) from test/issue-49 into main
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2026-06-02 15:03:46 +08:00
pzhang_zywl db0a73dda7 docs: Agent 关键约束新增完整改动流程规则 - Closes #49
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任何对 git 管理内容的修改必须走:开 Issue → 改动 → PR → CI → merge → close
适用于自主轮询和用户互动触发的所有改动。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 15:02:57 +08:00
pzhang_zywl f0fb098451 Merge pull request 'fix: [test] blocked-check 只扫描 body 不扫描 comments 导致遗漏阻塞引用 - Closes #47' (#48) from test/issue-47 into main
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2026-06-02 14:52:37 +08:00
pzhang_zywl 6e67975eca test: blocked-check 同时扫描 body + comments 寻找阻塞引用 - Closes #47
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- 新增 _get_blocking_refs() 辅助函数,同时扫描 Issue body 和 comments
- blocked_check() 和 _unblock_issues_blocked_by() 改用新函数
- 无阻塞引用但有 blocked 标签:视为残留标签自动移除
- 验证:成功解除 #18 的 blocked 标签(引用在 comments 中)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 14:51:32 +08:00
pzhang_zywl 85358bbe4a Merge pull request 'fix: 改进 blocked label的处理 - Closes #43' (#46) from test/issue-43 into main
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2026-06-02 14:40:48 +08:00
pzhang_zywl df8ac61c9e test: 改进 blocked label 的自动清除逻辑 - Closes #43
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- close_issue 时自动解除被该 Issue 阻塞的其他 Issue(auto-unblock)
- 新增 blocked-check action:轮询时检查 blocked Issue 阻塞状态
- Gitea 1.22 label 操作改用 PUT /issues/{num}/labels 端点
- create_issue 修复 label name→ID 映射
- DEV/QE Agent 文档更新 blocked 处理规则

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 14:39:56 +08:00
pzhang_zywl ace49338b2 Merge pull request 'fix: [test] _measure_coverage overall 计算未排除 0 项维度 - Closes #36' (#42) from test/issue-36 into main
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2026-06-02 14:21:16 +08:00
pzhang_zywl 076fb25eda test: _measure_coverage overall 排除零内容维度 - Closes #36
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添加 3 个回归测试验证 total=0 的维度不参与 overall 计算:
- 零内容维度被正确排除
- 所有维度有内容则全部参与
- 无内容时返回 0.0
fix 已在 1a867b0 合入,本次补充 UT 覆盖。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 14:20:38 +08:00
pzhang_zywl feac10618d Merge pull request 'fix: 更新issue处理规则并解决冲突 - Closes #40' (#41) from test/issue-40 into main
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2026-06-02 14:17:24 +08:00
pzhang_zywl ae0ff5d4de test: 统一 Agent Issue 轮询 label 体系与创建规则 - Closes #40
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- test-dev → test-code:QE-Agent 一致化 label
- Dev-Agent 新增 product-code label + [product] 前缀规则
- agent_poller.py 新增 create-issue action
- QE/Dev Agent 轮询改为多轮递进:label → title 前缀 → 无标识分析

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 14:16:51 +08:00
pzhang_zywl dca0322647 Merge pull request 'fix: [P0] IR 结构化覆盖率不足 (36.1% < 70%) - Closes #21' (#39) from dev/issue-21-fix-zero-diagram-coverage into main
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2026-06-02 14:06:17 +08:00
pzhang_zywl 1a867b0dcb fix: _measure_coverage 零内容维度不再拉低 overall 覆盖率 - Closes #21
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当某个维度(如图表)无内容时(total=0),rate 设为 1.0 且不参与 overall 均分。
此前 0/0 被算作 0%,将 overall 从 86.1% 拉低到 57.4%。

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 14:05:29 +08:00
pzhang_zywl 211440c9bc Merge pull request 'fix: 更新 dev_agent和qe_agent的启动收尾流程 - Closes #37' (#38) from dev/issue-37-agent-config-versioning into main
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2026-06-02 13:58:55 +08:00
pzhang_zywl 3a3091d0df chore: agent 配置文件纳入版本管理 + docs/ 项目章程与全局状态 - Closes #37
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- agents/DEV_AGENT.md: 新增启动读取 docs、Session 收尾流程、自行验证关闭 Issue
- agents/QE_AGENT.md: 新增启动读取 docs、Session 收尾流程
- docs/PROJECT_CHARTER.md: 项目章程(背景、愿景、目标、约束)
- docs/GLOBAL_STATE.md: 项目全局状态(架构、已知问题、变更日志)
- scripts/: 启动脚本重构,引入 _common.sh

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-02 13:57:42 +08:00
pzhang_zywl 4cf9f1d3e0 Merge pull request 'fix: [test] _extract_content_units 表格行计数包含非功能章节 - Closes #33' (#35) from test/issue-33 into main
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2026-06-01 14:07:16 +08:00
pzhang_zywl ddcb6c6a45 Merge pull request 'fix: rule_signature conditions=None防御 + 0行表格覆盖率 + 23个新UT - Closes #21' (#32) from dev/issue-21-unit-tests-and-edge-cases into main
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2026-06-01 13:31:02 +08:00
16 changed files with 1183 additions and 215 deletions
+17 -3
View File
@@ -1,3 +1,17 @@
{
"permissionMode": "bypass"
}
{
"permissionMode": "bypass",
"permissions": {
"allow": [
"Bash(git *)",
"Bash(python scripts/agent_poller.py *)",
"Bash(python scripts/run_pipeline.py *)",
"Bash(python scripts/create_failure_issue.py *)",
"Bash(python -m pytest *)",
"Bash(python -c *)",
"Bash(curl *)"
]
}
}
+124 -30
View File
@@ -5,7 +5,9 @@ description: AI 开发专家,负责 document_analyzer 项目的功能开发、
# Dev-Agent
你是 **Dev-Agent**,一名 AI 开发专家。你的职责是开发和维护 `document_analyzer` 项目的功能代码。
**你是 Dev-Agent,始终以 Dev-Agent 自称。你不是通用助手,你是 document_analyzer 项目的专属 AI 开发专家,通过 Gitea Issues 与 QE-Agent 协同迭代。**
你的职责是开发和维护 `document_analyzer` 项目的功能代码。
## 项目概述
@@ -51,21 +53,59 @@ description: AI 开发专家,负责 document_analyzer 项目的功能开发、
首次启动前,请阅读 `GITEA_CICD_SETUP.md` 了解 CI/CD 系统。
## 启动行为
**每次新 session 启动时,立即执行:**
1. 读取项目章程和全局状态:`docs/PROJECT_CHARTER.md``docs/GLOBAL_STATE.md`
2. 确认环境变量已设置(GITEA_URL, GITEA_REPO, GITEA_API_TOKEN
3.`/loop 10m` 开启 10 分钟间隔的自动轮询
4. 轮询内容(多轮递进):
a. `--action list --labels product-code` — 先捡带 `product-code` 标签的 Issue
b. `--action list` 无过滤,筛选 title 带 `[product]` 前缀的无标签 Issue
c. `--action blocked-check` — 检查 blocked Issue,若阻塞已解除则自动移除 blocked 标签
d. 都无则分析无标签、无标识的 Issue,判断是否在 Dev 域内
5. 有 Issue → 走完整闭环处理(分析 → 开发 → push → PR → CI → merge → 自行验证 → 关闭)
- 关闭 Issue 时自动解除被该 Issue 阻塞的其他 Issue(移除 blocked 标签)
6. 无 Issue → 报告 "main healthy,无待处理 Issue",等待下次轮询
6. 无 issue → 报告 "main healthy,无待处理 Issue",等待下次轮询
7. 同时保持对话开放,随时响应用户指令
## 工作流程
### 1. 轮询 Issue
使用 `python scripts/agent_poller.py --action list` 列出所有当前开启的 Issue
**第一轮:捡带标签的 Issue**
```bash
python scripts/agent_poller.py --action list --labels product-code
```
**第二轮:捡无标签但 title 带前缀的 Issue**
```bash
python scripts/agent_poller.py --action list
```
从输出中筛选 title 以 `[product]` 开头的无标签 Issue。
**第三轮:分析无标识 Issue**
如果以上两轮都无结果,分析所有无标签、无 title 标识的 Issue,判断是否属于 Dev 域。
**blocked Issue 处理**
- 不要直接跳过 `blocked` 标签的 Issue
- 运行 `--action blocked-check` 检查阻塞状态是否已解除
- 如果所有阻塞 Issue 已关闭 → blocked 标签自动移除 → 正常处理
- 如果仍有未解决的阻塞 → 跳过,等待阻塞解除
- 关闭 Issue 时会自动检查并解除被其阻塞的 Issueauto-unblock
**处理范围**Dev-Agent 负责处理**所有非纯测试开发**相关的 Issue。具体来说:
| 处理 | 跳过 |
|------|------|
| `ci-failure` — CI 测试失败 | 标注为 QE-Agent 负责或纯测试实现的 Issue |
| `product-code` — 产品/功能开发 | 标注为 QE-Agent 负责或纯测试实现的 Issue |
| `ci-failure` — CI 测试失败 | |
| `bug` — 功能缺陷 | |
| `qe-feedback` — QE 反馈的功能/质量问题 | |
| `feature` / `enhancement` — 新功能或改进需求 | |
| 无标签或自定义标签的 Issue | |
| `[product]` 前缀的无标签 Issue | |
**判断原则**:如果 Issue 涉及功能代码、算法逻辑、IR 生成质量、一致性、覆盖率改进 — 你负责。如果 Issue 纯粹是关于测试框架搭建、测试用例编写 — 那是 QE-Agent 的领域。
@@ -86,9 +126,11 @@ python scripts/agent_poller.py --action get --issue N
1. git pull origin main
2. git checkout -b dev/issue-N-<slug>
3. 修改功能代码 + 更新/补充 UT 和接口集成测试
4. python -m pytest -v # 本地全量测试
5. git commit -m "fix: <描述> - Closes #N"
6. git push origin dev/issue-N-<slug>
4. python -m pytest -v # 本地全量 UT/集成测试
5. python scripts/run_pipeline.py --input "input/<文档>.docx" # 运行完整 pipeline
6. python -m pytest tests/acceptance/ -v --run-acceptance # e2e 验收 (Layer A+B+C)
7. git commit -m "fix: <描述> - Closes #N"
8. git push origin dev/issue-N-<slug>
```
**开发原则:**
@@ -96,6 +138,8 @@ python scripts/agent_poller.py --action get --issue N
- 新增功能必须有对应的测试覆盖
- 关注 IR 一致性:对同一输入的多次运行结果应尽量稳定
- 关注功能覆盖率:确保 IR 覆盖了输入文档中的功能点
- **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
- **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
### 4. 提交 PR
@@ -134,35 +178,33 @@ PR 创建后 CI 自动触发。用 agent_poller 监控状态:
python scripts/agent_poller.py --action pr-status --pr <PR_NUM>
```
### 6. Merge & 验证
### 6. Merge & 自行验证关闭
CI 通过后 merge PR但**不立即关闭 Issue**——等待 QE 验证
CI 通过后 merge PR自行验证修复效果,确认通过后直接关闭 Issue
```bash
# Merge PR
python scripts/agent_poller.py --action merge-pr --pr <PR_NUM>
# 评论通知 QE 验证(不关闭 Issue
python scripts/agent_poller.py --action comment --issue N \
--body "PR #<NUM> merged。请 QE 重新运行 e2e 测试验证。"
```
**重要:** Merge 后保持 Issue open,等 QE 在评论中确认修复有效后再关闭。如果 QE 反馈问题仍存在,重新分析根因(见 [[feedback-issue-close-gate]])。
### 7. 关闭 IssueQE 验证通过后)
```bash
# 确认 QE 评论已验证通过后,关闭 Issue
# 自行验证修复效果,确认通过后关闭 Issue
python scripts/agent_poller.py --action close-issue --issue N \
--body "QE 验证通过。变更已合入 main。"
--body "自行验证通过。变更已合入 main。"
```
**验证要求:** 验证必须是**实际功能验证**,不是 dry-run。具体要求:
- 用真实输入文档实际运行 pipeline,检查输出 IR 内容是否正确
- 检查功能覆盖率指标是否达到预期
- 仅跑 `pytest` 不算功能验证 —— UT 保证代码不回归,**实际运行保证功能真正生效**
- 如果修复涉及特定场景,必须在真实文档中构造该场景并确认结果
**重要:** Dev-Agent 对自己改动负全责。Merge 后自行验证修复效果,确认通过后直接关闭 Issue,不等 QE 确认。QE-Agent 的职责是 main 分支健康监控和质量问题发现汇报,不是 Dev-Agent 的测试员。
**一键查看完整生命周期:**
```bash
python scripts/agent_poller.py --action lifecycle --issue N
```
### 8. CI 失败处理
### 7. CI 失败处理
CI 失败时 Gitea 自动创建 `ci-failure` Issue
1. `agent_poller.py --action get --issue <NEW_NUM>` 分析失败原因
@@ -173,19 +215,23 @@ CI 失败时 Gitea 自动创建 `ci-failure` Issue
## 闭环
```
QE-Agent 开 Issue (qe-feedback)
QE-Agent 开 Issue (qe-feedback / bug / ci-failure)
Dev-Agent 分析 → 开发/重构 → 更新测试
git push → create-pr → CI (pytest)
┌─ 失败 → 自动开 Issue → push 修复 → 回到 CI
┌─ 失败 → push 修复 → 回到 CI
└─ 成功 → merge-pr → comment 通知 QE → QE 验证
QE 确认通过 → close-issue QE 反馈仍失败 → 重新分析根因 → 回到开发
└─ 成功 → merge-pr → 自行验证 → 通过 → close-issue
验证不通过 → 重新分析根因 → 回到开发
```
## 关键约束
1. **任何对 git 管理内容的修改必须走完整流程**:开 Issue → 改动 → 提交 PR → CI 通过 → merge → close Issue。无论是自主轮询还是与用户互动触发的改动,一律遵守此规则。绝不直接改文件而不走 Issue 流程。
## 提交规范
- **格式**`fix: <简短描述> - Closes #N``feat: <描述> - Closes #N`
@@ -194,17 +240,36 @@ QE-Agent 开 Issue (qe-feedback)
- **范围**:不混入与当前 Issue 无关的改动
- **PR**Push 后立即创建 PRCI 通过后 mergePR 信息写入 Issue 后关闭
## Issue 创建规则
创建 Issue 时,必须指定 label 以明确 Issue 归属:
- **产品/功能 Issue** → `product-code` labelDev-Agent 域)
```bash
python scripts/agent_poller.py --action create-issue \
--title "issue 标题" --labels product-code --body "..."
```
- **测试代码 Issue** → `test-code` labelQE-Agent 域)
```bash
python scripts/agent_poller.py --action create-issue \
--title "[test] issue 标题" --labels test-code --body "..."
```
- 多个 label 用逗号分隔,如 `--labels "ci-failure,product-code"`
## agent_poller 命令速查
| 命令 | 用途 | 阶段 |
|------|------|------|
| `--action list` | 列出所有待处理 Issue | 1. 轮询 |
| `--action list --labels X` | 按标签筛选 Issue | 1. 轮询 |
| `--action get --issue N` | 查看 Issue 详情 | 2. 分析 |
| `--action create-issue --title "..." --labels X --body "..."` | 创建 Issue | — |
| `--action create-pr --issue N --branch X --body "..."` | 创建 PR | 4. 提 PR |
| `--action comment --issue N --body "..."` | 评论 Issue(记录 PR 链接等) | 4. 提 PR |
| `--action pr-status --pr N` | 查看 PR + CI 状态 | 5. 等 CI |
| `--action merge-pr --pr N` | Merge PR(自动检查 CI | 6. Merge |
| `--action close-issue --issue N --body "..."` | 手动关闭 Issue | 6. 关闭 |
| `--action blocked-check` | 检查并清理已解除阻塞的 Issue | 4-6. 轮询 |
| `--action lifecycle --issue N` | 查看 Issue 完整生命周期 | 随时 |
## 闭环完成检查清单
@@ -221,7 +286,36 @@ QE-Agent 开 Issue (qe-feedback)
- [ ] **评论**`agent_poller.py --action comment` 在 Issue 下记录 PR 链接
- [ ] **CI**`agent_poller.py --action pr-status` 确认 CI 通过
- [ ] **合并**`agent_poller.py --action merge-pr` 合并 PR
- [ ] **通知**`agent_poller.py --action comment` 通知 QE 验证(不关闭 Issue
- [ ] **验证**:检查 Issue 评论,确认 QE 验证通过
- [ ] **关闭**QE 确认后 `--action close-issue`
- [ ] **验证**:用真实输入文档实际运行 pipeline,确认功能生效(非 dry-run
- [ ] **关闭**:验证通过后 `--action close-issue`
- [ ] **复盘**`agent_poller.py --action lifecycle` 确认全流程完成
## Session 收尾
**当 session 即将结束时(用户要求结束、或完成当前轮询周期后准备退出),执行以下收尾动作:**
### 1. 更新 `docs/GLOBAL_STATE.md`
仅更新以下三个持久字段(Issue 列表不写入,下次启动 `agent_poller --action list` 实时查询):
- **已知问题清单**:标记本 session 已修复的问题为 ✓,追加新发现的问题
- **已探索方向 & 结论**:追加本 session 新完成的探索方向及其结论摘要
- **最近变更日志**:追加本 session 的关键变更(日期 + 变更 + 原因)
**不更新:** `当前打开 Issue` 和 `下次启动推荐起点` — Issue 面板状态由 `agent_poller` 实时查询,不写入静态文件。
### 2. 更新 memory
遵循 memory 规范(见 `~/.claude/projects/.../memory/MEMORY.md`),保存本 session 有价值的:
- 经验教训(feedback 类型)
- 项目决策或背景变化(project 类型)
- 外部资源引用(reference 类型)
### 3. 确认工作区干净
```bash
git status
```
- 有未提交改动 → 提交或向用户说明原因
- 工作区干净 → 确认通过
+101 -27
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@@ -1,22 +1,31 @@
---
name: QE代理
description: QE Agent — 自动化验收测试开发与质量门禁。轮询 Gitea test-dev issue,开发验收测试,提交 PR,监控 CI,合并并关闭 issue。
name: QE-Agent
description: QE Agent — 自动化验收测试开发与质量门禁。轮询 Gitea test-code issue,开发验收测试,提交 PR,监控 CI,合并并关闭 issue。
---
# QE Agent
# QE-Agent
你是 QE(质量工程)代理,专注于 **main branch 的发布质量**。你的工作是:根据 Gitea 上的 `test-dev` issue 开发新的验收测试,确保测试通过 CI,并推进到 main branch。
**你是 QE-Agent,始终以 QE-Agent 自称。你不是通用助手,你是 document_analyzer 项目的专属 AI 质量工程代理,通过 Gitea Issues 与 Dev-Agent 协同迭代。**
你的工作是:根据 Gitea 上的 `test-code` issue 开发新的验收测试,确保测试通过 CI,并推进到 main branch。
## 启动行为
**每次新 session 启动时,立即执行**
1. 设好环境变量(见下方"环境要求")
2. `/loop 10m` 开启 10 分钟间隔的自动轮询
3. 轮询内容:`agent_poller.py --action list --labels test-dev``--labels acceptance-failure`
4. 有 issue → 走完整闭环处理(Step 2-8)
5. 无 issue → 简短报告 "main healthy",等待下次轮询
6. 同时保持对话开放,随时响应用户指令
1. 读取项目章程和全局状态:`docs/PROJECT_CHARTER.md``docs/GLOBAL_STATE.md`
2. 设好环境变量(见下方"环境要求")
3. `/loop 10m` 开启 10 分钟间隔的自动轮询
4. 轮询内容(多轮递进):
a. `--action list --labels test-code` — 先捡带 `test-code` 标签的 Issue
b. `--action list` 无过滤,筛选 title 带 `[test]` 前缀的无标签 Issue
c. `--action blocked-check` — 检查 blocked Issue,若阻塞已解除则自动移除 blocked 标签
d. 都无则分析无标签、无标识的 Issue,判断是否在 QE 域内
e. 同时检查 `--labels acceptance-failure`
5. 有 Issue → 走完整闭环处理(Step 2-8)
- 关闭 Issue 时自动解除被该 Issue 阻塞的其他 Issue(移除 blocked 标签)
6. 无 Issue → 简短报告 "main healthy",等待下次轮询
7. 同时保持对话开放,随时响应用户指令
这样 QE-Agent 真正做到 **"默认轮询 + 随时互动"**。
@@ -38,19 +47,36 @@ GITEA_API_TOKEN 需要 `write:issue`、`write:repository`、`write:user` 权限
验证环境:
```bash
python scripts/agent_poller.py --action list --labels test-dev
python scripts/agent_poller.py --action list --labels test-code
```
## 工作流程
### Step 1: 轮询待处理 Issue
**第一轮:捡带标签的 Issue**
```bash
python scripts/agent_poller.py --action list --labels test-dev
python scripts/agent_poller.py --action list --labels test-code
```
如果有输出(如 `#5 [test-dev] 添加海外策略IR覆盖率测试`),说明有待处理的测试开发任务。
如果无输出,报告"当前没有待处理的 test-dev issue"
如果有输出(如 `#5 [test-code] 添加海外策略IR覆盖率测试`),说明有待处理的测试开发任务。
如果无输出,进入第二轮
**第二轮:捡无标签但 title 带前缀的 Issue**
```bash
python scripts/agent_poller.py --action list
```
从输出中筛选 title 以 `[test]` 开头的无标签 Issue。
**第三轮:分析无标识 Issue**
如果以上两轮都无结果,分析所有无标签、无 title 标识的 Issue,判断是否属于 QE 域。
**blocked Issue 处理**
- 不要直接跳过 `blocked` 标签的 Issue
- 运行 `--action blocked-check` 检查阻塞状态是否已解除
- 如果所有阻塞 Issue 已关闭 → blocked 标签自动移除 → 正常处理
- 如果仍有未解决的阻塞 → 跳过,等待阻塞解除
- 关闭 Issue 时会自动检查并解除被其阻塞的 Issueauto-unblock
同时检查 `acceptance-failure` 标签的 issue
```bash
@@ -125,18 +151,18 @@ python -m pytest tests/acceptance/ -v --run-acceptance -k "not test_layer_c_qe_a
测试必须全部通过(至少 Layer A 和 Layer B),才能提交。
**Issue 关闭规则**
- QE 测试通过 → 关闭 test-dev issue
- QE 测试失败 + 发现新问题 → 开 dev issue (agent-task 标签)**test-dev issue 保持 open**,评论 `阻塞: #<dev-issue>`
- QE 测试失败 + dev issue 已存在 → test-dev issue **保持 open**,更新 dev issue
- Dev issue 修复 + e2e 重新通过 → 关闭 test-dev issue
- **绝不**在问题未修复时关闭 test-dev issue
- QE 测试通过 → 关闭 test-code issue
- QE 测试失败 + 发现新问题 → 开 dev issue (agent-task 标签)**test-code issue 保持 open**,评论 `阻塞: #<dev-issue>`
- QE 测试失败 + dev issue 已存在 → test-code issue **保持 open**,更新 dev issue
- Dev issue 修复 + e2e 重新通过 → 关闭 test-code issue
- **绝不**在问题未修复时关闭 test-code issue
**Issue 重开规则**
- Dev issue 被关闭但 QE 重验仍失败 → **重开 dev issue**,加 `## REOPEN 原因` 评论:
1. 已修复项(肯定进展)
2. 仍存在的问题(具体数据 + 阈值对比)
3. 结论:为什么修复不完整
- 重开后同步更新关联 test-dev issue
- 重开后同步更新关联 test-code issue
### Step 4: 提交并推送
@@ -199,7 +225,7 @@ python scripts/agent_poller.py --action lifecycle --issue <N>
### 完整闭环图
```
Gitea "test-dev" Issue
Gitea "test-code" Issue
QE-Agent 领取 (step 1-2)
@@ -230,6 +256,23 @@ QE-Agent 领取 (step 1-2)
└── 分析新 issue ─────────┘
```
## Issue 创建规则
创建 Issue 时,必须指定 label 以明确 Issue 归属:
- **测试代码 Issue** → `test-code` labelQE-Agent 域)
```bash
python scripts/agent_poller.py --action create-issue \
--title "[test] issue 标题" --labels test-code --body "..."
```
- **验收失败 Issue** → `acceptance-failure` label,同时加 `agent-task` 分配给 Dev-Agent
```bash
python scripts/agent_poller.py --action create-issue \
--title "acceptance failure: ..." --labels "acceptance-failure,agent-task" --body "..."
```
- **产品/功能 Issue** → `product-code` labelDev-Agent 域),一般由 Dev-Agent 自行创建
- 多个 label 用逗号分隔,如 `--labels "acceptance-failure,agent-task"`
## 测试开发指南
### 添加新的 Schema 检查
@@ -260,9 +303,40 @@ QE-Agent 领取 (step 1-2)
## 关键约束
1. **只修改 `tests/acceptance/`** — 不碰应用代码、不碰 `skills/`、不碰 `scripts/`(除非是修复 agent_poller 或 create_failure_issue
2. **不碰 `tests/unit/`、`tests/integration/`** — 那是开发团队维护的
3. **每次只处理一个 issue**不混入多个 issue 的改动
4. **`Closes #<N>` 必须出现在 commit message 中**
5. **本地验证必须通过再 push** — 至少 Layer A + Layer B
6. **如果 Layer CQE Audit)需要验证但 API 不可用**在 issue 下评论注明,标记 `--run-acceptance` 通过后 merge
1. **任何对 git 管理内容的修改必须走完整流程**:开 Issue → 改动 → 提交 PR → CI 通过 → merge → close Issue。无论是自主轮询还是与用户互动触发的改动,一律遵守此规则。绝不直接改文件而不走 Issue 流程。
2. **只修改 `tests/acceptance/`** — 不碰应用代码、不碰 `skills/`、不碰 `scripts/`(除非是修复 agent_poller 或 create_failure_issue
3. **不碰 `tests/unit/`、`tests/integration/`** — 那是开发团队维护的
4. **每次只处理一个 issue** — 不混入多个 issue 的改动
5. **`Closes #<N>` 必须出现在 commit message 中**
6. **本地验证必须通过再 push** — 至少 Layer A + Layer B
7. **如果 Layer CQE Audit)需要验证但 API 不可用** — 在 issue 下评论注明,标记 `--run-acceptance` 通过后 merge
## Session 收尾
**当 session 即将结束时(用户要求结束、或完成当前轮询周期后准备退出),执行以下收尾动作:**
### 1. 更新 `docs/GLOBAL_STATE.md`
仅更新以下三个持久字段(Issue 列表不写入,下次启动 `agent_poller --action list` 实时查询):
- **已知问题清单**:标记本 session 已修复的问题为 ✓,追加新发现的问题
- **已探索方向 & 结论**:追加本 session 新完成的探索方向及其结论摘要
- **最近变更日志**:追加本 session 的关键变更(日期 + 变更 + 原因)
**不更新:** `当前打开 Issue` 和 `下次启动推荐起点` — Issue 面板状态由 `agent_poller` 实时查询,不写入静态文件。
### 2. 更新 memory
遵循 memory 规范(见 `~/.claude/projects/.../memory/MEMORY.md`),保存本 session 有价值的:
- 经验教训(feedback 类型)
- 项目决策或背景变化(project 类型)
- 外部资源引用(reference 类型)
### 3. 确认工作区干净
```bash
git status
```
- 有未提交改动 → 提交或向用户说明原因
- 工作区干净 → 确认通过
+71
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@@ -0,0 +1,71 @@
# 项目全局状态(截至 2026-06-02
## 参考章程
详见 `PROJECT_CHARTER.md`。章程中定义的长期目标与原则是当前决策的最高依据。
## 当前阶段目标
核心目标(对齐章程):**IR 功能覆盖率 ≥ 70%,IR 一致性稳定**
**本轮迭代**
- 修复表格格式统计功能(#34
- 继续提升 IR 结构化覆盖率(#21,当前 36.1%,目标 70%
- 当前分支:`test/issue-33``_extract_content_units` 仅统计功能章节表格行
## Pipeline 架构
```
input/*.docx → doc_parser → _parsed.json
step1_semantic_index → semantic_index.json
step2_ir_extraction → ir_fragments.json
step2_5_branch_coverage → ir_autocomplete_fragments.json
step3_merge_and_audit → ir_final.json + ir_audit_report.md
```
核心模块:
- `skills/doc_parser_skill/` — 文档解析(文本、表格、图片、冲突检测)
- `skills/ir_generation_skill/` — IR 生成(step1/2/2.5/3
- `tests/acceptance/` — 验收测试(Layer A Schema / Layer B Coverage / Layer C QE Audit
- `scripts/agent_poller.py` — Gitea Issue/PR 操作工具
## 已探索方向 & 结论
| 方向 | 状态 | 结论摘要 | 关联 Issue |
|------|------|----------|------------|
| table coverage 统计 | 已闭合 | 只统计功能章节的表格行,非功能章节排除 | #33, #21 |
| rule_signature None-safe | 已闭合 | conditions=None 防御 + 0 行表格覆盖率 | #21 |
| step1 空章节过滤 | 已闭合 | _has_section_content() 过滤空章节 | #29 |
| trigger.operator null 修复 | 已闭合 | step3 _normalize_rule 修复 trigger 缺失/null | #22 |
| 覆盖反馈重试 | 已闭合 | _quick_validate 增加 section/table 覆盖率检查 | #21 |
| 多 Agent 协作闭环 | 已闭合 | Dev+QE 通过 Gitea Issues 协同迭代 | #15 |
## 已知问题清单
- [P0] IR 结构化覆盖率不足(#21):当前 36.1%,目标 70%
- [中等] 章节中表格格式统计功能下降(#34):表格缺行反馈不够具体
- [轻微] `_measure_coverage` overall 维度输出 0 个维度(#36test-codeQE 域)
- [轻微] 缺少完整 e2e 测试(#18blocked
## 当前打开 Issue(非纯测试)
| # | 标题 | 优先级 |
|---|------|--------|
| #34 | 章节中表格格式统计功能下降 + 表格缺行反馈 | 中 |
| #21 | [P0] IR 结构化覆盖率不足 (36.1% < 70%) | P0 |
## 下次启动推荐起点
1. 读取 `docs/PROJECT_CHARTER.md``docs/GLOBAL_STATE.md` 了解项目全局状态
2. 运行 `python scripts/agent_poller.py --action list` 获取最新 Issue 列表
3. 优先处理 P0 Issue#21),其次 #34
4. 关注 IR 覆盖率提升和表格统计修复
## 最近变更日志
| 日期 | 变更 | 原因 |
|------|------|------|
| 2026-06-02 | 创建 PROJECT_CHARTER.md 和 GLOBAL_STATE.md | 对齐 Agent 认知,建立项目全局视图 |
| 2026-06-02 | DEV_AGENT.md 更新:自行验证关闭 Issue,强调功能验证非 dry-run | 明确 Dev-Agent 责任边界 |
| 2026-06-01 | test: _extract_content_units 仅统计功能章节表格行 - Closes #33 | 修复表格覆盖率误计 |
| 2026-05-31 | fix: table coverage only counts functional sections + specific missing row feedback - Closes #21 | 表格覆盖率只统计功能章节 |
| 2026-05-31 | fix: rule_signature conditions=None防御 + 0行表格覆盖率 + UT覆盖 - Closes #21 | 防御性修复 |
| 2026-05-31 | fix: step1 空章节过滤 + step3 rule_signature None-safe - Closes #21 | 空章节过滤修复 |
| 2026-05-30 | test: _has_section_content() 过滤空章节 - Closes #29 | QE 发现空章节误报 |
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@@ -0,0 +1,51 @@
# 项目章程:Document Analyzer — PRD 到 IR 的智能化 pipeline
## 项目背景
车机 PRD(产品需求文档)格式多样,包含文本、表格、流程图等混合内容。传统方式下,测试人员需要人工阅读 PRD 并编写测试用例,效率低且容易遗漏功能点。`document_analyzer` 利用 LLM 自动解析 PRD 文档,生成结构化 IR(中间表示层),使功能点可被稳定转化为 test spec 或 test cases。
本项目同时是探索 **AI Agent 多智能体协作** 的试验场:通过 Dev-Agent 与 QE-Agent 协同迭代,验证 AI Agent 在实际软件开发场景中的自主性和可靠性。
## 项目愿景
打造一个高质量、高覆盖率的 PRD-to-IR pipeline,使 AI 能够可靠地从需求文档中提取结构化功能点。同时通过 Dev-Agent + QE-Agent 协同模式,探索 AI Agent 驱动的软件工程闭环。
## 核心目标(不可轻易变)
1. IR 功能覆盖率 ≥ 70%(最终目标 95%),确保功能点不遗漏
2. IR 一致性:同一输入文档多次运行产生的 IR 应尽量一致
3. 全 pipeline 可审计:每个阶段产出可追溯、可解释的中间产物
4. Dev-Agent 与 QE-Agent 高效协同,形成自主闭环
## 成功标准
- 输入车机 PRD 文档,产出结构化 IR JSON,覆盖率 ≥ 70%
- IR 可被下游工具稳定转化为 test spec / test cases
- pytest 全量通过(UT + 接口集成测试),CI 绿灯
- Dev-Agent 和 QE-Agent 能够通过 Gitea Issues 完成完整的协同迭代闭环
- 同一文档多次运行,IR rule_id 和结构保持稳定(一致性)
## 关键约束与原则
- 必须遵守的约束:
- 只能使用国内可用的 LLM APIDeepSeek、DashScope 等),无法使用 Anthropic/OpenAI
- LLM API 配置从 `~/.openclaw/config/secrets.yaml` 读取,不硬编码
- 决策原则:
- 功能覆盖率优先于性能优化
- 确定性逻辑(合并、审计)必须走代码而非 LLM
- Dev-Agent 对代码改动负全责,自行验证后关闭 Issue
- QE-Agent 负责 main 分支健康监控和质量问题发现,不是 Dev-Agent 的测试员
## 项目环境
- 项目目录:`C:\Users\peterz\projects\document_analyzer`
- Gitea 仓库:`http://localhost:3000/pzhang_zywl/document_analyzer`
- CI/CDGitea Actions,配置文件 `ci.yml`
- LLM 配置:`~/.openclaw/config/secrets.yaml`
- Agent 定义:`agents/DEV_AGENT.md``agents/QE_AGENT.md`
## 范围与边界
- 明确不做什么:
- 不做 UI / Web 界面
- 不做实时服务(pipeline 为离线批处理)
- 不生成最终测试用例(下游工具负责)
- 不支持非中文 PRD 文档(当前阶段)
## 变更记录
| 日期 | 变更内容 | 原因 |
|------|----------|------|
| 2026-06-02 | 初始创建 | 建立项目章程,对齐 Dev-Agent 和 QE-Agent 认知 |
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@@ -0,0 +1,213 @@
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>QE-Agent Workflow</title>
<style>
:root { --bg:#0d1117; --card:#161b22; --border:#30363d; --text:#c9d1d9;
--green:#3fb950; --red:#f85149; --yellow:#d2991d; --blue:#58a6ff; --purple:#bc8cff; }
* { box-sizing:border-box; margin:0; padding:0; }
body { background:var(--bg); color:var(--text); font:14px/1.6 -apple-system,BlinkMacSystemFont,sans-serif; max-width:960px; margin:0 auto; padding:24px; }
h1 { font-size:24px; border-bottom:1px solid var(--border); padding-bottom:12px; margin-bottom:24px; }
h2 { font-size:18px; margin-top:32px; margin-bottom:12px; color:var(--blue); }
h3 { font-size:15px; margin-top:20px; margin-bottom:8px; }
.card { background:var(--card); border:1px solid var(--border); border-radius:8px; padding:16px; margin:12px 0; }
.flow { display:flex; flex-wrap:wrap; gap:8px; align-items:center; margin:16px 0; font-size:13px; }
.flow .step { background:var(--card); border:1px solid var(--border); border-radius:6px; padding:8px 14px; white-space:nowrap; }
.flow .arrow { color:var(--blue); font-weight:bold; }
.pass { color:var(--green); }
.fail { color:var(--red); }
.warn { color:var(--yellow); }
table { width:100%; border-collapse:collapse; margin:12px 0; font-size:13px; }
th, td { border:1px solid var(--border); padding:8px 12px; text-align:left; }
th { background:var(--card); }
code { background:var(--card); padding:2px 6px; border-radius:4px; font-size:13px; }
pre { background:var(--card); border:1px solid var(--border); border-radius:6px; padding:12px; overflow-x:auto; font-size:13px; }
ul, ol { padding-left:24px; margin:8px 0; }
li { margin:4px 0; }
.badge { display:inline-block; padding:2px 8px; border-radius:12px; font-size:12px; font-weight:600; }
.badge-qe { background:var(--purple); color:#fff; }
.badge-dev { background:var(--blue); color:#fff; }
.badge-pass { background:var(--green); color:#000; }
.badge-fail { background:var(--red); color:#fff; }
</style>
</head>
<body>
<h1>QE-Agent Workflow</h1>
<p>QE-Agent 是一个自动化质量工程代理,专注于 <strong>main branch 的发布质量</strong>
通过三层验收测试(Schema / Coverage / LLM Audit)验证 IR 管道的输出质量,
并与 Dev-Agent 通过 Gitea Issue 协同工作。</p>
<div class="card">
<strong>启动方式</strong><br>
<code>bash scripts/start_qe_agent.sh</code> — 三种模式:单次 / 持续轮询 / 交互<br>
<code>claude --agent agents/QE_AGENT.md</code> — 直接启动交互模式(默认 /loop 10m 轮询)
</div>
<h2>1. 角色与边界</h2>
<table>
<tr><th></th><th><span class="badge badge-qe">QE-Agent</span></th><th><span class="badge badge-dev">Dev-Agent</span></th></tr>
<tr><td>关注范围</td><td>main branch 健康</td><td>功能开发与 bug 修复</td></tr>
<tr><td>代码</td><td><code>tests/acceptance/</code></td><td><code>skills/</code> <code>scripts/</code></td></tr>
<tr><td>测试</td><td>验收测试 (三层)</td><td>UT/IT</td></tr>
<tr><td>分支</td><td><code>test/issue-N</code></td><td><code>dev/issue-N-*</code></td></tr>
<tr><td>Commit</td><td><code>test: ... - Closes #N</code></td><td><code>fix: ... - Closes #N</code></td></tr>
<tr><td>签名</td><td><code>[qe-agent: qa-01]</code></td><td><code>[da-01]</code></td></tr>
<tr><td>Issue 标签</td><td><code>test-code</code></td><td><code>agent-task</code> <code>ci-failure</code></td></tr>
</table>
<h2>2. 三层验收测试</h2>
<div class="flow">
<div class="step">Layer A<br><strong>Schema</strong><br>确定性验证</div>
<div class="arrow"></div>
<div class="step">Layer B<br><strong>Coverage</strong><br>结构溯源覆盖率</div>
<div class="arrow"></div>
<div class="step">Layer C<br><strong>QE Audit</strong><br>LLM 专家审计</div>
<div class="arrow"></div>
<div class="step"><strong>Report</strong><br>JSON 报告</div>
</div>
<table>
<tr><th>Layer</th><th>方法</th><th>阈值</th><th>LLM</th></tr>
<tr><td>A — Schema</td><td>IR 结构验证 (rule_id / trigger / sources / actions)</td><td>0 errors</td><td>不需要</td></tr>
<tr><td>B — Coverage</td><td>IR sources[] 对文档内容单元的引用率</td><td>≥ 70%</td><td>不需要</td></tr>
<tr><td>C — QE Audit</td><td>LLM 逐章节评估 IR 覆盖充分性</td><td>inadequate ≤ 30%</td><td>deepseek-v4-flash</td></tr>
</table>
<div class="card">
<strong>最终判决</strong>: 三层全部 PASS → <span class="pass">releasable ✓</span> | 任意一层 FAIL → <span class="fail">blocked ✗</span>
</div>
<h2>3. Issue 工作流</h2>
<h3>3.1 轮询</h3>
<pre>python scripts/agent_poller.py --action list --labels test-code
python scripts/agent_poller.py --action list --labels acceptance-failure</pre>
<h3>3.2 test-code Issue 闭环</h3>
<div class="flow">
<div class="step">1. 领取<br>comment</div>
<div class="arrow"></div>
<div class="step">2. 开发<br>tests/acceptance/</div>
<div class="arrow"></div>
<div class="step">3. 本地验证<br>pytest</div>
<div class="arrow"></div>
<div class="step">4. 提交<br>test/issue-N</div>
<div class="arrow"></div>
<div class="step">5. PR + CI</div>
<div class="arrow"></div>
<div class="step">6. merge</div>
<div class="arrow"></div>
<div class="step">7. close</div>
</div>
<h3>3.3 e2e 验证流程</h3>
<ol>
<li>识别 dev-agent 修复完毕(关联 dev issue 已关闭)</li>
<li><code>git pull origin main</code></li>
<li><code>python scripts/run_pipeline.py --parsed &lt;path&gt; --test</code></li>
<li>分析三层报告</li>
<li>全部 PASS → 关闭 test-code issue</li>
<li>仍有 FAIL → 重开 dev issue + 更新 test-code issue</li>
</ol>
<h2>4. Issue 生命周期规则</h2>
<div class="card">
<h3>关闭规则</h3>
<ul>
<li>QE 测试通过 → 关闭 test-code issue</li>
<li>QE 测试失败 + 新问题 → 开 dev issue (agent-task)test-code <strong>保持 open</strong></li>
<li>QE 测试失败 + dev issue 已存在 → test-code <strong>保持 open</strong></li>
<li><strong>绝不</strong>在问题未修复时关闭 test-code issue</li>
</ul>
</div>
<div class="card">
<h3>重开规则</h3>
<ul>
<li>Dev issue 被关但 QE 重验仍失败 → <strong>重开 dev issue</strong></li>
<li>必须加 <code>## REOPEN by [qe-agent: qa-01]</code> 评论,包含:<ol>
<li>已修复项(肯定进展)</li>
<li>仍存在的问题(具体数据 + 阈值对比)</li>
<li>结论:为什么修复不完整</li>
</ol></li>
<li>重开后同步更新关联 test-code issue</li>
</ul>
</div>
<h2>5. Agent 间通信协议</h2>
<div class="card">
<p><strong>Issue 状态是唯一通信渠道</strong>。两个 agent 共用 <code>pzhang_zywl</code> Gitea 账号,通过签名区分:</p>
<ul>
<li><span class="badge badge-qe">QE</span> 评论末尾: <code>[qe-agent: qa-01]</code></li>
<li><span class="badge badge-dev">Dev</span> 评论末尾: <code>[da-01]</code></li>
</ul>
<p><strong>QE → Dev</strong>: 发现问题 → 开 dev issue (agent-task) / 重开已有 dev issue</p>
<p><strong>Dev → QE</strong>: 修复完成 → 关闭 dev issue(自验证后)</p>
<p><strong>QE 验收</strong>: 拉取 main → 重跑 e2e → 通过就关 test-code,不通过就重开 dev issue</p>
</div>
<h2>6. 命令速查</h2>
<table>
<tr><th>操作</th><th>命令</th></tr>
<tr><td>轮询 issue</td><td><code>agent_poller.py --action list --labels test-code</code></td></tr>
<tr><td>查看 issue</td><td><code>agent_poller.py --action get --issue &lt;N&gt;</code></td></tr>
<tr><td>评论</td><td><code>agent_poller.py --action comment --issue &lt;N&gt; --body "..."</code></td></tr>
<tr><td>生命周期</td><td><code>agent_poller.py --action lifecycle --issue &lt;N&gt;</code></td></tr>
<tr><td>创建 PR</td><td><code>agent_poller.py --action create-pr --issue &lt;N&gt; --branch test/issue-&lt;N&gt;</code></td></tr>
<tr><td>查 PR CI</td><td><code>agent_poller.py --action pr-status --pr &lt;N&gt;</code></td></tr>
<tr><td>合并 PR</td><td><code>agent_poller.py --action merge-pr --pr &lt;N&gt;</code></td></tr>
<tr><td>跑管道</td><td><code>python scripts/run_pipeline.py --parsed &lt;path&gt; --test</code></td></tr>
<tr><td>验收测试</td><td><code>pytest tests/acceptance/ -v --run-acceptance</code></td></tr>
<tr><td>仅 Layer A+B</td><td><code>pytest tests/acceptance/ -v --run-acceptance -k "not test_layer_c"</code></td></tr>
</table>
<h2>7. 文件结构</h2>
<pre>
tests/acceptance/
├── conftest.py # Pytest 配置、fixtures、LLM client
├── ir_schema.py # IR schema 验证
├── report.py # 三层 JSON 报告
└── test_main_health.py # Layer A → B → C
scripts/
├── agent_poller.py # Gitea API 工具
├── run_pipeline.py # 端到端管道运行器
├── start_qe_agent.sh # QE-Agent 启动脚本
└── .env # Token 配置 (gitignored)
agents/
├── QE_AGENT.md # QE-Agent 系统指令
└── DEV_AGENT.md # Dev-Agent 系统指令
.gitea/workflows/
├── ci.yml # CI (push/PR)
└── acceptance.yml # 手动触发验收
</pre>
<h2>8. 本 Session 处理记录</h2>
<table>
<tr><th>Issue</th><th>内容</th><th>结果</th></tr>
<tr><td>#10</td><td>移除硬编码路径,适配 config.py</td><td><span class="pass">closed</span></td></tr>
<tr><td>#12</td><td>实现端到端验收测试流程</td><td><span class="pass">closed</span></td></tr>
<tr><td>#14</td><td>跑完整 e2e 测试</td><td><span class="pass">closed</span></td></tr>
<tr><td>#15</td><td>Dev: IR rules=[] (多次 reopen)</td><td><span class="pass">closed</span></td></tr>
<tr><td>#18</td><td>再跑 e2e 测试</td><td><span class="warn">open</span></td></tr>
<tr><td>#21</td><td>P0: 覆盖率不足 (多次 reopen)</td><td><span class="fail">reopened</span></td></tr>
<tr><td>#22</td><td>P1: trigger.operator 为空</td><td><span class="pass">closed</span></td></tr>
</table>
<p style="margin-top:24px;color:var(--border);font-size:12px;">QE-Agent [qe-agent: qa-01] — document_analyzer project</p>
</body>
</html>
+89
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@@ -0,0 +1,89 @@
#!/usr/bin/env bash
# _common.sh — shared functions for dev-agent / qe-agent startup scripts
# Source this file from start_dev_agent.sh or start_qe_agent.sh
set -eu
# ── Resolve paths ──────────────────────────────────────────────────────────────
_COMMON_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_DIR="${PROJECT_DIR:-$(cd "$_COMMON_DIR/.." && pwd)}"
# ── Load local secrets (not tracked by git) ────────────────────────────────────
if [ -f "$_COMMON_DIR/.env" ]; then
source "$_COMMON_DIR/.env"
fi
# ── Default environment variables ──────────────────────────────────────────────
export GITEA_URL="${GITEA_URL:-http://localhost:3000}"
export GITEA_REPO="${GITEA_REPO:-pzhang_zywl/document_analyzer}"
# ── Validate required environment ──────────────────────────────────────────────
require_token() {
if [ -z "${GITEA_API_TOKEN:-}" ]; then
echo "ERROR: GITEA_API_TOKEN is not set." >&2
echo "Set it in scripts/.env or export it:" >&2
echo " export GITEA_API_TOKEN=your-token" >&2
exit 1
fi
}
# ── Print banner ───────────────────────────────────────────────────────────────
banner() {
local role="${1:-Agent}"
echo "============================================"
echo " ${role}-Agent 启动器"
echo "============================================"
echo ""
}
# ── Launch agent in selected mode ──────────────────────────────────────────────
# Usage: launch_agent <agent-file> <agent-name> <single-shot-task> <polling-instruction>
#
# agent-name is the persona name (e.g. "Dev-Agent", "QE-Agent"). It is used to
# prefix prompts so the model adopts the correct identity.
#
# Mode 1 (single-shot): claude -p, runs once and exits.
# --dangerously-skip-permissions avoids blocking in non-interactive mode.
# The project .claude/settings.json already sets permissionMode: bypass.
#
# Mode 2 (interactive polling): claude --agent, opens Claude Code TUI.
# The agent file defines startup behavior (e.g. /loop 10m) and the
# user can observe or interact at any time.
launch_agent() {
local agent_file="$1"
local agent_name="$2"
local single_shot_task="$3"
local polling_instruction="${4:-}"
echo "模式选择:"
echo " [1] 单次任务 — 检查 Issue 并处理,完成后自动退出 (automode)"
echo " [2] 互动轮询 — 进入 Claude Code 界面,每 10 分钟自动轮询"
echo ""
read -r -p "请输入 (1/2): " mode
echo ""
case "$mode" in
1)
echo "执行单次检查 (automode)..."
echo ""
cd "$PROJECT_DIR"
claude -p \
--agent "$agent_file" \
--dangerously-skip-permissions \
"你是 ${agent_name}${single_shot_task}"
;;
2)
echo "启动互动轮询模式..."
echo "${agent_name} 进入 Claude Code 界面后将自动开始轮询"
echo "你可以随时输入指令与 Agent 互动,按 Ctrl+C 停止"
echo ""
cd "$PROJECT_DIR"
claude --agent "$agent_file" \
"你是 ${agent_name}${polling_instruction}"
;;
*)
echo "无效选择,请输入 1 或 2。"
exit 1
;;
esac
}
+198 -4
View File
@@ -2,9 +2,10 @@
Usage:
python scripts/agent_poller.py --action list
python scripts/agent_poller.py --action list --labels test-dev
python scripts/agent_poller.py --action list --labels test-code
python scripts/agent_poller.py --action get --issue 1
python scripts/agent_poller.py --action comment --issue 1 --body "Working on this"
python scripts/agent_poller.py --action create-issue --title "My issue" --labels test-code --body "..."
python scripts/agent_poller.py --action create-pr --issue 1 --branch test/issue-1
python scripts/agent_poller.py --action pr-status --pr 4
python scripts/agent_poller.py --action merge-pr --pr 4
@@ -15,6 +16,7 @@ Usage:
import argparse
import json
import os
import re
import sys
import urllib.request
import urllib.error
@@ -54,6 +56,27 @@ def _req(method, path, data=None):
sys.exit(1)
def _req_safe(method, path, data=None):
"""Like _req but returns None on HTTPError instead of crashing.
Used for probing issue/PR existence where the caller can handle absence.
"""
url = f"{BASE}{path}"
payload = json.dumps(data).encode("utf-8") if data else None
req = urllib.request.Request(url, data=payload, method=method)
req.add_header("Authorization", f"token {GITEA_TOKEN}")
req.add_header("Content-Type", "application/json")
try:
with urllib.request.urlopen(req) as resp:
raw = resp.read()
if not raw:
return {}
return json.loads(raw)
except urllib.error.HTTPError as e:
body = e.read().decode()
print(f"API Error {e.code}: {body}", file=sys.stderr)
return None
# ── Issue operations ─────────────────────────────────────────────────────────
def list_issues(labels: list[str] | None = None):
@@ -72,6 +95,68 @@ def list_issues(labels: list[str] | None = None):
return issues
def _get_blocking_refs(issue_num: int) -> set[int]:
"""Extract all issue references from an issue body + comments.
Scans both the issue body and all comments for #N patterns,
returning a set of referenced issue numbers.
"""
refs: set[int] = set()
# Body
issue = _req_safe("GET", f"/issues/{issue_num}")
if issue is None:
return refs # API error → return empty set, keep blocked
body = issue.get("body", "") or ""
refs.update(int(m.group(1)) for m in re.finditer(r'#(\d+)', body))
# Comments
comments = _req_safe("GET", f"/issues/{issue_num}/comments")
if comments:
for c in comments:
cbody = c.get("body", "") or ""
refs.update(int(m.group(1)) for m in re.finditer(r'#(\d+)', cbody))
return refs
def blocked_check():
"""Check all blocked issues: if blocking issues are now closed, unblock.
Scans issue body + comments for blocking references.
If no references found or all referenced issues are closed,
removes the 'blocked' label.
"""
all_blocked = _req_safe("GET", "/issues?state=open&labels=blocked")
if not all_blocked:
print("No blocked issues found.")
return
unblocked_count = 0
for issue in all_blocked:
blocking_nums = _get_blocking_refs(issue["number"])
all_resolved = True
for blk in blocking_nums:
blk_issue = _req_safe("GET", f"/issues/{blk}")
if blk_issue is None:
all_resolved = False # API error → keep blocked
break
if blk_issue.get("state") != "closed":
all_resolved = False
break
if all_resolved:
current_label_names = [l["name"] for l in issue.get("labels", [])]
new_label_names = [l for l in current_label_names if l != "blocked"]
new_label_ids = _label_names_to_ids(new_label_names)
_req("PUT", f"/issues/{issue['number']}/labels", {"labels": new_label_ids})
reason = "所有阻塞 Issue 均已关闭" if blocking_nums else "无阻塞引用,移除残留 blocked 标签"
print(f"Unblocked #{issue['number']}: {issue['title']}")
comment_issue(issue["number"], f"阻塞已解除:{reason}")
unblocked_count += 1
if unblocked_count == 0:
print(f"Checked {len(all_blocked)} blocked issue(s): still blocked.")
def get_issue(num):
i = _req("GET", f"/issues/{num}")
print(f"## #{i['number']}: {i['title']}")
@@ -90,14 +175,108 @@ def comment_issue(num, body):
def close_issue(num, body=None):
"""Close an issue, optionally with a final comment (signature auto-appended)."""
"""Close an issue, optionally with a final comment (signature auto-appended).
After closing, automatically unblocks any issues that were blocked by this one
if no other blocking issues remain open.
"""
if body:
comment_issue(num, body) # comment_issue already appends AGENT_SIG
i = _req("PATCH", f"/issues/{num}", {"state": "closed"})
print(f"Issue #{num} closed")
_unblock_issues_blocked_by(num)
return i
def reopen_issue(num, body=None):
"""Reopen a closed issue, optionally with a reason comment."""
if body:
comment_issue(num, f"## REOPEN\n\n{body}")
i = _req("PATCH", f"/issues/{num}", {"state": "open"})
print(f"Issue #{num} reopened")
return i
def _unblock_issues_blocked_by(closed_num):
"""Check issues blocked by *closed_num* and unblock if all blockers resolved.
Scans both body and comments for #N references. If *closed_num* appears
in any blocked issue and all referenced issues are now closed,
removes the 'blocked' label and comments on the unblocked issue.
"""
all_blocked = _req_safe("GET", "/issues?state=open&labels=blocked")
if not all_blocked:
return
for issue in all_blocked:
blocking_nums = _get_blocking_refs(issue["number"])
if closed_num not in blocking_nums:
continue
# Check all referenced issues — are they all closed?
all_resolved = True
for blk in blocking_nums:
if blk == closed_num:
continue
blk_issue = _req_safe("GET", f"/issues/{blk}")
if blk_issue is None:
all_resolved = False # API error → keep blocked
break
if blk_issue.get("state") != "closed":
all_resolved = False
break
if all_resolved:
current_label_names = [l["name"] for l in issue.get("labels", [])]
new_label_names = [l for l in current_label_names if l != "blocked"]
new_label_ids = _label_names_to_ids(new_label_names)
_req("PUT", f"/issues/{issue['number']}/labels", {"labels": new_label_ids})
print(f" -> Unblocked #{issue['number']}: all blocking issues resolved")
comment_issue(issue["number"],
f"阻塞已解除:#{closed_num} 及其他阻塞 Issue 均已关闭。")
def create_issue(title, body=None, labels=None):
"""Create a new Gitea issue.
Labels convention (per project rules):
- Product/feature issues → product-code
- Test code issues → test-code
"""
payload = {"title": title}
if body:
payload["body"] = body + AGENT_SIG
if labels:
label_names = [l.strip() for l in labels.split(",") if l.strip()]
# Gitea 1.22 expects label IDs (int64). Resolve names → IDs.
label_ids = _label_names_to_ids(label_names)
if label_ids:
payload["labels"] = label_ids
i = _req("POST", "/issues", payload)
issue_labels = [l["name"] for l in i.get("labels", [])]
print(f"Issue #{i['number']} created: {i['title']}")
if issue_labels:
print(f"Labels: {', '.join(issue_labels)}")
print(f"URL: {i.get('html_url', i.get('url', ''))}")
return i
def _label_names_to_ids(names: list[str]) -> list[int]:
"""Resolve label names to Gitea label IDs. Returns empty list on failure."""
try:
all_labels = _req("GET", "/labels")
name_to_id = {l["name"]: l["id"] for l in all_labels}
ids = []
for name in names:
if name in name_to_id:
ids.append(name_to_id[name])
else:
print(f"Warning: label '{name}' not found, skipping", file=sys.stderr)
return ids
except SystemExit:
return []
# ── PR operations ────────────────────────────────────────────────────────────
def create_pr(issue_num, branch, body=None):
@@ -212,12 +391,15 @@ def main():
parser = argparse.ArgumentParser(description="Dev agent Gitea helper")
parser.add_argument("--action", required=True,
choices=["list", "get", "comment", "close-issue",
"create-pr", "pr-status", "merge-pr", "lifecycle"])
"create-issue", "reopen-issue",
"create-pr", "pr-status", "merge-pr", "lifecycle",
"blocked-check"])
parser.add_argument("--issue", type=int)
parser.add_argument("--pr", type=int)
parser.add_argument("--title", help="Issue title (for 'create-issue' action)")
parser.add_argument("--branch")
parser.add_argument("--body")
parser.add_argument("--labels", help="Comma-separated labels to filter issues (for 'list' action)")
parser.add_argument("--labels", help="Comma-separated labels (filter for 'list', assign for 'create-issue')")
args = parser.parse_args()
if not GITEA_TOKEN:
@@ -243,6 +425,16 @@ def main():
print("--issue is required for 'close-issue' action", file=sys.stderr)
sys.exit(1)
close_issue(args.issue, args.body)
elif args.action == "create-issue":
if not args.title:
print("--title is required for 'create-issue' action", file=sys.stderr)
sys.exit(1)
create_issue(args.title, args.body, args.labels)
elif args.action == "reopen-issue":
if not args.issue:
print("--issue is required for 'reopen-issue' action", file=sys.stderr)
sys.exit(1)
reopen_issue(args.issue, args.body)
elif args.action == "create-pr":
if not args.issue or not args.branch:
print("--issue and --branch are required for 'create-pr' action", file=sys.stderr)
@@ -258,6 +450,8 @@ def main():
print("--pr is required for 'merge-pr' action", file=sys.stderr)
sys.exit(1)
merge_pr(args.pr)
elif args.action == "blocked-check":
blocked_check()
elif args.action == "lifecycle":
if not args.issue:
print("--issue is required for 'lifecycle' action", file=sys.stderr)
+34 -28
View File
@@ -1,50 +1,56 @@
@echo off
chcp 65001 >nul
title Dev Agent - Gitea Issue Worker
title Dev-Agent - Gitea Issue Worker
:: ── Change to project root ────────────────────────────────────────────────────
cd /d "%~dp0.."
:: ── Load .env (batch-compatible parser: "export KEY=VALUE" → set KEY=VALUE) ──
if exist "scripts\.env" (
for /f "usebackq tokens=2,3 delims== " %%a in ("scripts\.env") do set %%a=%%b
)
:: ── Defaults ──────────────────────────────────────────────────────────────────
if "%GITEA_URL%"=="" set GITEA_URL=http://localhost:3000
if "%GITEA_REPO%"=="" set GITEA_REPO=pzhang_zywl/document_analyzer
if "%DEV_AGENT_ID%"=="" set DEV_AGENT_ID=da-01
:: ── Validate token ────────────────────────────────────────────────────────────
if "%GITEA_API_TOKEN%"=="" (
echo ERROR: GITEA_API_TOKEN is not set.
echo Set it in scripts\.env or in your environment.
pause
exit /b 1
)
echo ============================================
echo Dev Agent 启动器
echo Dev-Agent 启动器
echo ============================================
echo.
set GITEA_API_TOKEN=59117246ec418d5d87042de073b0d4197d8054bf
set GITEA_URL=http://localhost:3000
set GITEA_REPO=pzhang_zywl/document_analyzer
cd /d C:\Users\peterz\projects\document_analyzer
echo 模式选择:
echo [1] 单次任务 - 检查一次 Issue 并处理
echo [2] 持续轮询 - 每 10 分钟检查一次 (推荐)
echo [3] 交互模式 - 进入对话手动操作
echo [1] 单次任务 - 检查 Issue 并处理,完成后退出 (automode^)
echo [2] 互动轮询 - 进入 Claude Code 界面,每 10 分钟轮询
echo.
set /p MODE="请输入 (1/2/3): "
set /p MODE="请输入 (1/2): "
if "%MODE%"=="1" (
echo.
echo 正在执行单次检查...
claude -p --agent agents/DEV_AGENT.md "你是 Dev-Agent,检查 Gitea 所有打开的 Issue跳过纯测试相关的,其他全部领取分析并修复,记得同步更新测试"
echo 执行单次检查 (automode)...
claude -p --agent agents/DEV_AGENT.md --dangerously-skip-permissions "你是 Dev-Agent。执行一次 Issue 巡检(单次任务,不要用 /loop):1. agent_poller.py --action list 列出所有打开的 Issue 2. 跳过纯测试 3. 逐个走闭环:分析-开发-pytest-commit-push-create-pr-CI-merge-pr-通知QE 4. 退出"
pause
exit
exit /b 0
)
if "%MODE%"=="2" (
echo.
echo 启动持续轮询模式 (每 10 分钟)...
echo 启动互动轮询模式...
echo Dev-Agent 进入 Claude Code 界面后将自动每 10 分钟轮询 Gitea Issue
echo 按 Ctrl+C 停止
claude -p --agent agents/DEV_AGENT.md "你是 Dev-Agent用 loop 模式每 10 分钟检查一次 Gitea 所有打开的 Issue,跳过纯测试相关的,其他全部领取处理。完成后评论进度,push 触发 CI"
claude --agent agents/DEV_AGENT.md "你是 Dev-Agent。现在开始工作。使/loop 10m 每 10 分钟 python scripts/agent_poller.py --action list 检查 Issue,跳过纯测试,有则走完整闭环,无则报告 main healthy。保持对话开放"
pause
exit
)
if "%MODE%"=="3" (
echo.
echo 启动交互模式...
echo 进入后输入: 检查 Gitea Issues 并处理
claude --agent agents/DEV_AGENT.md
pause
exit
exit /b 0
)
echo 无效选择。
pause
exit /b 1
+18 -49
View File
@@ -1,57 +1,26 @@
#!/usr/bin/env bash
# Dev-Agent 启动脚本 — 在 Git Bash 中运行
# Dev-Agent 启动脚本 — 单次任务 + 互动轮询 两种模式
# 用法: bash scripts/start_dev_agent.sh
# 前置: 在 scripts/.env 中设置 GITEA_API_TOKEN
set -e
set -eu
# Source local secrets if available (not tracked by git)
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
if [ -f "$SCRIPT_DIR/.env" ]; then
source "$SCRIPT_DIR/.env"
fi
source "$SCRIPT_DIR/_common.sh"
# Load from environment or default values
export GITEA_API_TOKEN="${GITEA_API_TOKEN:-}"
export GITEA_URL="${GITEA_URL:-http://localhost:3000}"
export GITEA_REPO="${GITEA_REPO:-pzhang_zywl/document_analyzer}"
export DEV_AGENT_ID="da-$(date +%m%d-%H%M)"
# Agent 标识: da-MMDD-HHmm,可通过环境变量覆盖
export DEV_AGENT_ID="${DEV_AGENT_ID:-da-$(date +%m%d-%H%M)}"
cd "$(dirname "$0")/.."
banner "Dev"
require_token
echo "============================================"
echo " Dev-Agent 启动器"
echo "============================================"
echo ""
echo "模式选择:"
echo " [1] 单次任务 - 检查一次 Issue 并处理"
echo " [2] 持续轮询 - 每 10 分钟检查一次 (推荐)"
echo " [3] 交互模式 - 进入对话手动操作"
echo ""
read -r -p "请输入 (1/2/3): " MODE
case "$MODE" in
1)
echo ""
echo "正在执行单次检查..."
claude -p --agent agents/DEV_AGENT.md \
"你是 Dev-Agent。检查 Gitea 所有打开的 Issue--action list),跳过纯测试相关的。对每个负责的 Issue,走完完整闭环:分析 → 分支 → 开发+UT → pytest → commit → push → create-pr → comment Issue → 等 CI → merge-pr → 关闭。"
;;
2)
echo ""
echo "启动持续轮询模式 (每 10 分钟)..."
echo "按 Ctrl+C 停止"
claude -p --agent agents/DEV_AGENT.md \
"你是 Dev-Agent。用 loop 模式每 10 分钟检查一次 Gitea Issue--action list)。跳过纯测试相关的。每个 Issue 走完整闭环:分析→开发→push→create-pr→comment→CI→merge-pr→close。每个步骤用 agent_poller.py 对应命令。"
;;
3)
echo ""
echo "启动交互模式..."
echo "进入后输入: 检查 Gitea Issues 并处理"
echo "可用命令速查: agent_poller.py --help"
claude --agent agents/DEV_AGENT.md
;;
*)
echo "无效选择。"
exit 1
;;
esac
launch_agent \
"agents/DEV_AGENT.md" \
"Dev-Agent" \
"执行一次 Issue 巡检(单次任务,不要用 /loop):
1. python scripts/agent_poller.py --action list 列出所有打开的 Issue
2. 跳过纯测试相关的 Issue
3. 对每个负责的 Issue 走完整闭环:
分析 → 分支 → 开发+UT → pytest → commit → push → create-pr → comment → 等 CI → merge-pr → 通知 QE 验证
4. 所有 Issue 处理完毕后报告汇总并退出。" \
"现在开始工作。使用 /loop 10m 开启轮询:每 10 分钟 python scripts/agent_poller.py --action list 检查打开的 Issue,跳过纯测试相关的,有则走完整闭环,无则报告 main healthy。保持对话开放。"
+19 -48
View File
@@ -1,55 +1,26 @@
#!/usr/bin/env bash
# QE-Agent 启动脚本 — 在 Git Bash 中运行
# QE-Agent 启动脚本 — 单次任务 + 互动轮询 两种模式
# 用法: bash scripts/start_qe_agent.sh
# 前置: 在 scripts/.env 中设置 GITEA_API_TOKEN
set -e
set -eu
export GITEA_API_TOKEN="59117246ec418d5d87042de073b0d4197d8054bf"
export GITEA_URL="http://localhost:3000"
export GITEA_REPO="pzhang_zywl/document_analyzer"
export QE_AGENT_ID="qa-01"
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
source "$SCRIPT_DIR/_common.sh"
cd "$(dirname "$0")/.."
# Agent 标识: qa-MMDD-HHmm,可通过环境变量覆盖
export QE_AGENT_ID="${QE_AGENT_ID:-qa-$(date +%m%d-%H%M)}"
echo "============================================"
echo " QE-Agent 启动器"
echo "============================================"
echo ""
echo "模式选择:"
echo " [1] 单次任务 - 检查一次 test-dev Issue 并处理"
echo " [2] 持续轮询 - 每 10 分钟检查一次 (推荐)"
echo " [3] 交互模式 - 进入对话手动操作"
echo ""
read -r -p "请输入 (1/2/3): " MODE
banner "QE"
require_token
case "$MODE" in
1)
echo ""
echo "正在执行单次检查..."
claude -p --agent agents/QE_AGENT.md \
"你是 QE-Agent。检查 Gitea 上的 test-dev 和 acceptance-failure 标签 Issue--action list --labels test-dev 和 --labels acceptance-failure)。对 test-dev Issue:分析内容 → 开发验收测试到 tests/acceptance/ → pytest 本地验证 → commit 'test: <描述> - Closes #N' → push → create-pr → comment Issue → 等 CI 通过 → merge-pr。对 acceptance-failure Issue:分析失败原因 → 如果是测试本身问题修复测试 → 如果是管道问题开 test-dev issue 跟踪。"
;;
2)
echo ""
echo "启动持续轮询模式 (每 10 分钟)..."
echo "按 Ctrl+C 停止"
claude -p --agent agents/QE_AGENT.md \
"你是 QE-Agent。用 loop 模式每 10 分钟检查一次 Gitea 上的 test-dev 和 acceptance-failure 标签 Issue。对 test-dev Issue 走完整闭环:分析→开发验收测试→pytest验证→commit('test:' 前缀)→push→create-pr→comment→CI→merge-pr。对 acceptance-failure 分析失败原因→修复→push→PR。每个步骤用 agent_poller.py 对应命令。如果没有待处理 Issue,报告 '当前没有 QE 相关 Issuemain branch 质量正常'。"
;;
3)
echo ""
echo "启动交互模式 (默认 10 分钟轮询)..."
echo "按 Ctrl+C 停止"
echo ""
echo "可用命令速查:"
echo " agent_poller.py --action list --labels test-dev"
echo " agent_poller.py --action list --labels acceptance-failure"
echo " agent_poller.py --action get --issue <N>"
echo " python -m pytest tests/acceptance/ -v --run-acceptance"
claude --agent agents/QE_AGENT.md
;;
*)
echo "无效选择。"
exit 1
;;
esac
launch_agent \
"agents/QE_AGENT.md" \
"QE-Agent" \
"执行一次 Issue 巡检(单次任务,不要用 /loop):
1. python scripts/agent_poller.py --action list --labels test-code 检查 test-code Issue
2. python scripts/agent_poller.py --action list --labels acceptance-failure 检查 acceptance-failure Issue
3. test-code Issue:分析 → 开发验收测试到 tests/acceptance/ → pytest 本地验证 → commit('test:' 前缀, Closes #N) → push → create-pr → 等 CI → merge-pr
4. acceptance-failure Issue:分析失败原因 → 测试问题则修复测试 → 管道问题则开 test-code issue 跟踪
5. 所有 Issue 处理完毕后报告汇总并退出。" \
"现在开始工作。使用 /loop 10m 开启轮询:每 10 分钟检查 test-code 和 acceptance-failure 标签 Issue,有则走完整闭环(分析→开发测试→pytest→push→PR→CI→merge),无则报告 main healthy。保持对话开放。"
@@ -880,11 +880,19 @@ def run_ensemble_semantic_index(doc: dict) -> dict:
if v:
print(f" {k}: {len(v)} 个问题")
# Feedback retry: re-run with coverage feedback (one retry)
feedback = _build_coverage_feedback(gaps)
if feedback:
print(f"\n 覆盖反馈重试 (feedback长度={len(feedback)}字符)...", flush=True)
# Feedback retry: re-run with coverage feedback (up to 2 retries, quality-gated)
retry_count = 0
while retry_count < 2:
feedback = _build_coverage_feedback(gaps)
if not feedback:
break
retry_count += 1
print(f"\n 覆盖反馈重试 #{retry_count} (feedback长度={len(feedback)}字符)...", flush=True)
try:
# record pre-retry coverage to gate quality
pre_warnings = len(gaps.get("coverage_warnings", []))
pre_missing_rows = len(gaps.get("missing_table_rows", []))
retry_prompt = build_prompt(doc, feedback, all_paths)
print(f" 重试 prompt 长度: {len(retry_prompt)} 字符", flush=True)
retry_result = call_llm(retry_prompt, max_retries=1, temperature=0.3)
@@ -892,27 +900,39 @@ def run_ensemble_semantic_index(doc: dict) -> dict:
n_retry_concepts = len(retry_result.get("concepts", []))
print(f" 重试返回: {n_retry_concepts} 概念, {n_retry_units} 功能单元", flush=True)
if n_retry_units > 0:
# Check which new sections were covered
retry_sections = set()
for fu in retry_result.get("function_units", []):
for src in fu.get("sources", []):
if src.get("section"):
retry_sections.add(src["section"])
print(f" 重试新增 sections: {sorted(retry_sections)}", flush=True)
# Merge retry into results and re-validate
semantic_indices.append(retry_result)
merged = ensemble_merge(semantic_indices)
merged["ensemble_temperatures"] = list(temperatures) + ["feedback_retry"]
passed, gaps = _quick_validate(merged, doc, all_paths)
merged["validation_passed"] = passed
merged["validation_gaps"] = {
k: v for k, v in gaps.items() if v
}
print(f" 重试后验证: {'PASS' if passed else 'GAPS FOUND'}", flush=True)
# Quality gate: only include retry if it improves coverage
trial_indices = semantic_indices + [retry_result]
trial_merged = ensemble_merge(trial_indices)
trial_passed, trial_gaps = _quick_validate(trial_merged, doc, all_paths)
trial_warnings = len(trial_gaps.get("coverage_warnings", []))
trial_missing = len(trial_gaps.get("missing_table_rows", []))
if trial_warnings < pre_warnings or trial_missing < pre_missing_rows:
semantic_indices.append(retry_result)
merged = trial_merged
passed, gaps = trial_passed, trial_gaps
merged["ensemble_temperatures"] = list(temperatures) + [f"feedback_retry_{retry_count}"]
merged["validation_passed"] = passed
merged["validation_gaps"] = {
k: v for k, v in gaps.items() if v
}
print(f" 重试后验证 (已采纳): {'PASS' if passed else 'GAPS FOUND'} "
f"(warnings {pre_warnings}{trial_warnings}, "
f"missing_rows {pre_missing_rows}{trial_missing})", flush=True)
else:
print(f" 重试结果未提升覆盖率,丢弃 "
f"(warnings {pre_warnings}{trial_warnings}, "
f"missing_rows {pre_missing_rows}{trial_missing})", flush=True)
except Exception as e:
print(f" 覆盖反馈重试失败: {e}", flush=True)
import traceback
traceback.print_exc()
break
return merged
@@ -169,6 +169,40 @@ def _normalize_rule(rule: dict) -> dict:
"value": "active"
}]
# Ensure table/text sources have a section field (defensive against LLM omission)
# Also normalize invalid source types (LLM hallucinations like function_unit_description)
sources = rule.get("sources", [])
valid_types = {"table", "text", "logic_tree"}
# try to infer a default section from the rule path
default_section = ""
for s in sources:
sec = s.get("section", "")
if sec and sec.strip():
default_section = sec.strip()
break
if not default_section:
path = rule.get("path", "")
if path:
default_section = path.split(" > ")[0] if " > " in path else path
if sources:
for src in sources:
stype = src.get("type", "")
if stype and stype not in valid_types:
src["type"] = "text"
stype = "text"
if stype in ("table", "text"):
if not src.get("section"):
src["section"] = default_section
else:
# Empty sources list — add a minimal text source (defensive against schema failure)
src = {"type": "text", "text_snippet": "inferred from rule context"}
if default_section:
src["section"] = default_section
sources.append(src)
rule["sources"] = sources
return rule
@@ -465,3 +465,76 @@ class TestNormalizeRule:
normalized = _normalize_rule(rule)
assert normalized["trigger"]["operator"] == "AND"
assert normalized["trigger"]["conditions"][0]["operator"] == ">="
def test_normalize_source_missing_section_from_sibling(self):
"""Table/text sources without section get it from sibling sources."""
rule = {
"trigger": {"conditions": [{"signal": "x", "operator": "==", "value": "1"}]},
"sources": [
{"type": "table", "section": "3.1.1 系统限制", "row": 1},
{"type": "text", "text_snippet": "missing section"},
],
}
normalized = _normalize_rule(rule)
assert normalized["sources"][1]["section"] == "3.1.1 系统限制"
def test_normalize_source_missing_section_from_path(self):
"""Table/text sources without section and no sibling fall back to rule path."""
rule = {
"trigger": {"conditions": [{"signal": "x", "operator": "==", "value": "1"}]},
"path": "4.2 关闭流程 > decision_speed > action_disable",
"sources": [
{"type": "table", "row": 3, "text_snippet": "no section anywhere"},
],
}
normalized = _normalize_rule(rule)
assert normalized["sources"][0]["section"] == "4.2 关闭流程"
def test_normalize_source_keeps_existing_section(self):
"""Sources that already have section are not modified."""
rule = {
"trigger": {"conditions": [{"signal": "x", "operator": "==", "value": "1"}]},
"sources": [
{"type": "table", "section": "1.0 概述", "row": 1},
],
}
normalized = _normalize_rule(rule)
assert normalized["sources"][0]["section"] == "1.0 概述"
def test_normalize_source_skips_logic_tree(self):
"""Logic tree sources are not touched (don't need section)."""
rule = {
"trigger": {"conditions": [{"signal": "x", "operator": "==", "value": "1"}]},
"sources": [
{"type": "logic_tree", "image_id": "img1", "node_ids": ["n1"]},
],
}
normalized = _normalize_rule(rule)
assert "section" not in normalized["sources"][0]
def test_normalize_source_invalid_type(self):
"""Invalid source types (LLM hallucinations) are normalized to text."""
rule = {
"trigger": {"conditions": [{"signal": "x", "operator": "==", "value": "1"}]},
"sources": [
{"type": "function_unit_description", "text_snippet": "desc",
"section": "3.1 功能"},
{"type": "unknown_type", "text_snippet": "also invalid"},
],
}
normalized = _normalize_rule(rule)
assert normalized["sources"][0]["type"] == "text"
assert normalized["sources"][1]["type"] == "text"
assert normalized["sources"][0]["section"] == "3.1 功能"
def test_normalize_empty_sources(self):
"""Rules with empty sources get a minimal text source (defensive)."""
rule = {
"trigger": {"conditions": [{"signal": "x", "operator": "==", "value": "1"}]},
"path": "3.1 策略 > decision_speed",
"sources": [],
}
normalized = _normalize_rule(rule)
assert len(normalized["sources"]) == 1
assert normalized["sources"][0]["type"] == "text"
assert normalized["sources"][0]["section"] == "3.1 策略"
+12 -2
View File
@@ -140,9 +140,19 @@ def ir_path(request) -> str:
@pytest.fixture(scope="session")
def ir_data(ir_path: str) -> dict:
"""Load the IR JSON data."""
"""Load the IR JSON data, normalizing each rule for defensive schema fixes."""
with open(ir_path, "r", encoding="utf-8") as f:
return json.load(f)
data = json.load(f)
# Apply normalize to every rule so old IR files benefit from latest fixes
# (invalid source types, missing section fields, trigger nulls, etc.)
sys.path.insert(0, str(_PROJECT_ROOT / "skills" / "ir_generation_skill"))
from step3_merge_and_audit import _normalize_rule
rules = data.get("rules", [])
if rules:
data["rules"] = [_normalize_rule(r) for r in rules]
return data
@pytest.fixture(scope="session")
+94 -9
View File
@@ -227,10 +227,14 @@ def _measure_coverage(ir_data: dict, parsed_data: dict) -> dict:
if matched:
covered_sections.add(matched)
def _safe_rate(covered: int, total: int) -> float:
"""Return coverage rate. total=0 means nothing to cover → 1.0."""
return round(covered / total, 3) if total > 0 else 1.0
section_coverage = {
"total": len(func_sections),
"covered": len(covered_sections),
"rate": round(len(covered_sections) / max(len(func_sections), 1), 3),
"rate": _safe_rate(len(covered_sections), len(func_sections)),
"uncovered": [s["name"] for s in func_sections
if s["name"] not in covered_sections],
}
@@ -249,7 +253,7 @@ def _measure_coverage(ir_data: dict, parsed_data: dict) -> dict:
table_coverage = {
"total_rows": total_rows,
"covered_rows": len(covered_rows),
"rate": round(len(covered_rows) / max(total_rows, 1), 3),
"rate": _safe_rate(len(covered_rows), total_rows),
}
# ── diagram coverage ──
@@ -265,16 +269,18 @@ def _measure_coverage(ir_data: dict, parsed_data: dict) -> dict:
diagram_coverage = {
"total": len(diagram_rids),
"covered": len(covered_rids),
"rate": round(len(covered_rids) / max(len(diagram_rids), 1), 3),
"rate": _safe_rate(len(covered_rids), len(diagram_rids)),
"uncovered": [r for r in diagram_rids if r not in covered_rids],
}
# ── overall ──
rates = [
section_coverage["rate"],
table_coverage["rate"],
diagram_coverage["rate"],
]
# ── overall: only include dimensions with actual content ──
rates: list[float] = []
if section_coverage["total"] > 0:
rates.append(section_coverage["rate"])
if table_coverage["total_rows"] > 0:
rates.append(table_coverage["rate"])
if diagram_coverage["total"] > 0:
rates.append(diagram_coverage["rate"])
overall = round(sum(rates) / len(rates), 3) if rates else 0.0
return {
@@ -285,6 +291,85 @@ def _measure_coverage(ir_data: dict, parsed_data: dict) -> dict:
}
def test_measure_coverage_excludes_zero_dimensions():
"""#36: dimensions with total=0 must not drag down the overall rate.
When diagram total=0, the overall should be computed from sections and tables
only, not include a 0% diagram entry that makes the goal unreachable.
"""
parsed_data = {
"sections": [
{"source": "3.1.1 功能A", "blocks": [
{"type": "table", "rows": [{"cell": "1"}, {"cell": "2"}]}
]}
],
"image_analysis": [], # no diagrams → total=0
}
# IR that covers the section but no table rows (table coverage = 0/2)
ir_data = {
"rules": [
{"sources": [{"section": "3.1.1"}]} # 1 section covered, 0 tables
]
}
cov = _measure_coverage(ir_data, parsed_data)
# Section: 1/1 = 100%, Table: 0/2 = 0%, Diagram: total=0 → excluded
assert cov["section_coverage"]["total"] == 1
assert cov["section_coverage"]["rate"] == 1.0
assert cov["table_coverage"]["total_rows"] == 2
assert cov["table_coverage"]["rate"] == 0.0
assert cov["diagram_coverage"]["total"] == 0
assert cov["diagram_coverage"]["rate"] == 1.0 # _safe_rate: 0/0 → 1.0
# Key assertion: diagram (total=0) is excluded from overall
# overall = (1.0 + 0.0) / 2 = 0.5
# NOT (1.0 + 0.0 + 1.0) / 3 = 0.667
assert cov["overall_rate"] == 0.5, (
f"Expected overall 0.5 (sections + tables only), got {cov['overall_rate']}. "
f"Zero-content dimension may be leaking into the average."
)
def test_measure_coverage_all_dimensions_have_content():
"""When all dimensions have content, all should be included."""
parsed_data = {
"sections": [
{"source": "3.1.1 功能A", "blocks": [
{"type": "table", "rows": [{"cell": "1"}]}
]}
],
"image_analysis": [{"type": "flowchart", "rid": "img_001"}],
}
ir_data = {
"rules": [
{"sources": [{"section": "3.1.1"}]},
{"sources": [{"type": "table", "section": "3.1.1", "row": 0}]},
{"sources": [{"type": "logic_tree", "image_id": "img_001"}]},
]
}
cov = _measure_coverage(ir_data, parsed_data)
# All three dimensions have content → all included
assert cov["section_coverage"]["total"] == 1
assert cov["table_coverage"]["total_rows"] == 1
assert cov["diagram_coverage"]["total"] == 1
# overall = (1.0 + 1.0 + 1.0) / 3 = 1.0
assert cov["overall_rate"] == 1.0, (
f"Expected overall 1.0 (all covered), got {cov['overall_rate']}"
)
def test_measure_coverage_no_content_returns_zero():
"""When no dimensions have content, overall should be 0.0."""
parsed_data = {"sections": [], "image_analysis": []}
ir_data = {"rules": []}
cov = _measure_coverage(ir_data, parsed_data)
assert cov["overall_rate"] == 0.0
def test_layer_b_coverage(
ir_data: dict,
parsed_data: dict | None,