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Author SHA1 Message Date
pzhang_zywl a2fabcc7a6 test: 修复端到端管道运行器和 Layer B IndexError - Closes #14
CI / test (pull_request) Successful in 7s
- run_pipeline.py: 修复 subprocess env 传递、parsed_path 检测、Unicode 编码
- test_main_health.py: 修复 _is_functional_section 空章节名 IndexError
- 端到端测试管道: doc_parser → ir_generation(4 steps) → acceptance tests
- 测试发现问题汇总至 dev issue #15
2026-05-31 17:28:26 +08:00
pzhang_zywl febf4ba019 docs: QE-Agent 默认启动即轮询,自动 /loop 10m
CI / test (push) Successful in 9s
2026-05-31 17:14:01 +08:00
pzhang_zywl e779c7f7bb Merge pull request 'fix: [test-dev] 实现完整验收测试流程 - Closes #12' (#13) from test/issue-12 into main
CI / test (push) Successful in 10s
2026-05-31 17:02:32 +08:00
pzhang_zywl 2ed36c0013 test: 实现端到端验收测试流程 (run_pipeline.py + acceptance.yml) - Closes #12
CI / test (pull_request) Successful in 8s
- scripts/run_pipeline.py: 完整管道运行器 (docx → IR → acceptance tests)
- acceptance.yml: 更新为 workflow_dispatch,支持 --input/--parsed/--test 三种模式
- 失败时自动创建 acceptance-failure issue
2026-05-31 17:01:30 +08:00
pzhang_zywl cd721634dd Merge pull request 'fix: [test-dev] 根据最新的document_analyzer源代码更新测试代码 - Closes #10' (#11) from test/issue-10 into main
CI / test (push) Successful in 9s
2026-05-31 16:49:51 +08:00
pzhang_zywl 5c451099ad test: 移除硬编码路径,适配新 config.py 目录结构 - Closes #10
CI / test (pull_request) Successful in 7s
- conftest.py: secrets 路径改为多位置查找 (QE_SECRETS_PATH env → ~/.openclaw/config/ → workspace-document-analyzer/config/)
- conftest.py: IR 默认路径改为 output/final/ir_final.json (匹配 config.IR_FINAL_JSON)
- conftest.py: parsed 默认路径改为项目相对路径
- agent_poller.py: 添加 --labels 过滤 (向后兼容)
- 新增 agents/QE_AGENT.md + scripts/start_qe_agent.sh
2026-05-31 16:48:35 +08:00
pzhang_zywl 2e36710813 Merge pull request 'fix: 改进输入文件处理 - Closes #8' (#9) from dev/issue-8-improve-input-handling into main
CI / test (push) Successful in 7s
2026-05-31 16:17:59 +08:00
7 changed files with 572 additions and 45 deletions
+34 -26
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@@ -3,23 +3,23 @@ name: QE Acceptance Tests
on: on:
workflow_dispatch: workflow_dispatch:
inputs: inputs:
prd_path:
description: 'Path to .docx PRD file (absolute)'
required: false
default: ''
parsed_path:
description: 'Path to pre-parsed _updated.json (skip doc_parser if set)'
required: false
default: ''
acceptance_runs: acceptance_runs:
description: 'Layer B stability runs (1 = skip stability testing)' description: 'Layer B stability runs (1 = skip)'
required: false required: false
default: '1' default: '1'
ir_path:
description: 'Path to IR JSON file (relative to workspace)'
required: false
default: 'output/ir_final.json'
parsed_path:
description: 'Path to _parsed.json or _updated.json (relative to workspace)'
required: false
default: 'output/车机娱乐系统禁止功能文档_精简_updated.json'
jobs: jobs:
acceptance: acceptance:
runs-on: shell runs-on: shell
timeout-minutes: 30 timeout-minutes: 60
steps: steps:
- name: Checkout main branch - name: Checkout main branch
run: | run: |
@@ -29,26 +29,34 @@ jobs:
- name: Install dependencies - name: Install dependencies
run: pip install -r requirements.txt run: pip install -r requirements.txt
- name: Run QE Acceptance Tests - name: Run pipeline + acceptance tests
run: >- run: |
python -m pytest tests/acceptance/ -v if [ -n "${{ github.event.inputs.prd_path }}" ]; then
--run-acceptance python scripts/run_pipeline.py --input "${{ github.event.inputs.prd_path }}" --test
--acceptance-runs=${{ github.event.inputs.acceptance_runs }} elif [ -n "${{ github.event.inputs.parsed_path }}" ]; then
--ir-path=${{ github.event.inputs.ir_path }} python scripts/run_pipeline.py --parsed "${{ github.event.inputs.parsed_path }}" --test
--parsed-path=${{ github.event.inputs.parsed_path }} else
--tb=long # No input provided — run acceptance on existing output if present
python -m pytest tests/acceptance/ -v --run-acceptance \
--acceptance-runs=${{ github.event.inputs.acceptance_runs }} --tb=short
fi
env: env:
DASHSCOPE_API_KEY: ${{ secrets.DASHSCOPE_API_KEY }} DASHSCOPE_API_KEY: ${{ secrets.DASHSCOPE_API_KEY }}
DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
- name: Create issue on failure - name: Create issue on failure
if: failure() if: failure()
env: env:
GITEA_API_TOKEN: ${{ secrets.GITEA_TOKEN }} GITEA_API_TOKEN: ${{ secrets.GITEA_TOKEN }}
run: >- run: |
python scripts/create_failure_issue.py # Read acceptance report summary if it exists
--sha "${{ github.sha }}" if [ -f acceptance-report.json ]; then
--branch "main" SUMMARY=$(python -c "import json; r=json.load(open('acceptance-report.json')); print(r.get('final_verdict','?'))")
--run "${{ github.run_number }}" DETAILS=$(python -c "import json; r=json.load(open('acceptance-report.json')); fd=r.get('failure_details',[]); print('\\n'.join(f'- {d}' for d in fd) if fd else '')")
--message "QE Acceptance Tests Failed" fi
--workflow "QE Acceptance" python scripts/create_failure_issue.py \
--labels "acceptance-failure,agent-task" --sha "${{ github.sha }}" --branch "main" \
--run "${{ github.run_number }}" \
--message "QE Acceptance: ${SUMMARY:-pipeline failed}" \
--workflow "QE Acceptance" \
--labels "acceptance-failure,agent-task"
+254
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@@ -0,0 +1,254 @@
---
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。
---
# 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。
## 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
这样 QE-Agent 真正做到 **"默认轮询 + 随时互动"**。
## 环境要求
开始工作前,确认以下环境变量已设置:
```bash
export GITEA_URL="http://localhost:3000"
export GITEA_REPO="pzhang_zywl/document_analyzer"
export GITEA_API_TOKEN="<your-token>"
```
GITEA_API_TOKEN 需要 `write:issue``write:repository``write:user` 权限。如果没有设置,从 `config/secrets.yaml` 中读取。
验收测试需要 LLM APILayer C QE Audit):
- 文本模型:`deepseek-v4-flash`,配置在 `~/.openclaw/config/secrets.yaml``deepseek`
- 图像模型:`qwen3-vl-plus`,配置在 `dashscope`
验证环境:
```bash
python scripts/agent_poller.py --action list --labels test-dev
```
## 工作流程
### Step 1: 轮询待处理 Issue
```bash
python scripts/agent_poller.py --action list --labels test-dev
```
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"。
同时检查 `acceptance-failure` 标签的 issue
```bash
python scripts/agent_poller.py --action list --labels acceptance-failure
```
### Step 2: 领取并分析 Issue
```bash
python scripts/agent_poller.py --action get --issue <N>
```
分析 issue 描述,确定:
- **测试类型**: 新增验收测试 / 修改已有测试 / 修复测试框架 bug
- **测试位置**: `tests/acceptance/` 下的哪个文件
- **实现方案**: 需要改哪些代码,是否需要新的 fixture 或 schema 规则
在 issue 下评论表示正在处理:
```bash
python scripts/agent_poller.py --action comment --issue <N> --body "QE-Agent 已领取,正在开发测试..."
```
### Step 3: 实施测试
#### 3.1 确保代码最新
```bash
git checkout main
git pull origin main
```
#### 3.2 创建分支
```bash
git checkout -b test/issue-<N>
```
分支命名规则:`test/issue-<N>``test/issue-<N>-<简短描述>`
#### 3.3 编写测试代码
测试代码在 `tests/acceptance/` 目录下。现有结构:
```
tests/acceptance/
├── __init__.py
├── conftest.py # Pytest 配置、fixtures、LLM client
├── ir_schema.py # IR schema 定义 + validate_rule() / validate_ir()
├── report.py # 三层 JSON 报告生成
└── test_main_health.py # 主测试文件:Layer A(Schema) → Layer B(Coverage) → Layer C(QE Audit)
```
开发原则:
- 新功能点测试 → 添加到 `test_main_health.py` 或新建测试文件
- 新的 schema 规则 → 添加到 `ir_schema.py`
- 新的报告字段 → 添加到 `report.py`
- 新的 fixture → 添加到 `conftest.py`
- 所有验收测试必须使用 `--run-acceptance` flag 控制
- Layer B 覆盖率测试不需要 LLM API
- Layer C QE 审计需要 `deepseek-v4-flash` API
#### 3.4 本地验证
```bash
# 跑全部验收测试(需要 LLM API)
python -m pytest tests/acceptance/ -v --run-acceptance
# 只跑不需要 LLM 的层(Layer A + B + report
python -m pytest tests/acceptance/ -v --run-acceptance -k "not test_layer_c_qe_audit"
```
测试必须全部通过(至少 Layer A 和 Layer B),才能提交。
### Step 4: 提交并推送
```bash
git add tests/acceptance/
git commit -m "test: <简短描述> - Closes #<N>"
git push origin test/issue-<N>
```
**提交规范**
- 格式:`test: <描述> - Closes #<N>`
- 每个 commit 专注于一个 issue
- 必须包含 `Closes #<N>`(合并后自动关闭 issue
- 不混入无关改动
### Step 5: 创建 PR
```bash
python scripts/agent_poller.py --action create-pr --issue <N> --branch test/issue-<N>
```
PR 标题自动生成为 `fix: <issue title> - Closes #<N>`,描述中包含 `Closes #<N>`
### Step 6: 监控 CI 结果
推送后 CI 自动触发(`ci.yml` push to main / PR to main)。
检查 PR 状态和 CI
```bash
python scripts/agent_poller.py --action pr-status --pr <PR_NUMBER>
```
等待 CI 完成(通常 <2 分钟),根据结果决定下一步:
### Step 7: 处理结果
**CI 通过**
```bash
python scripts/agent_poller.py --action merge-pr --pr <PR_NUMBER>
```
合并后,commit 中的 `Closes #<N>` 会自动关闭对应的 Gitea issue。
**CI 失败**
- 阅读 CI 失败日志,分析原因
- 如果是测试代码问题 → 修复代码,`git commit --amend``git push -f`
- 如果是环境问题(API key、依赖缺失)→ 在 issue 下评论说明,等待人工介入
- CI 失败会自动创建新 issue`ci-failure` 标签),Dev-Agent 可能领取
### Step 8: 验证闭环
```bash
python scripts/agent_poller.py --action lifecycle --issue <N>
```
确认:
- Issue 状态:closed ✓
- PR 状态:merged ✓
- CI 状态:success ✓
### 完整闭环图
```
Gitea "test-dev" Issue
QE-Agent 领取 (step 1-2)
开发测试 (step 3)
本地验证: pytest tests/acceptance/ -v --run-acceptance
│ │
│ 失败 ─── 修复 ───┘ │ 通过
│ ▼
│ git commit + push (step 4)
│ │
│ ▼
│ 创建 PR (step 5)
│ │
│ ▼
│ CI 自动运行
│ │ │
│ 失败 │ │ 通过
│ ▼ ▼
│ 自动开 issue merge PR (step 7)
│ │ │
│ ▼ ▼
│ Dev-Agent 修复 Issue 关闭 ✓
│ │
└── 分析新 issue ─────────┘
```
## 测试开发指南
### 添加新的 Schema 检查
`ir_schema.py` 中:
1. 添加新的 `_check()` 调用到 `validate_rule()``validate_ir()`
2. 新增的检查类型添加到 `VALID_*` 常量
3.`schema_checklist()` 中添加对应的 checklist 条目
### 添加新的覆盖率维度
`test_main_health.py` 中:
1.`_extract_content_units()` 中提取新的内容单元
2.`_measure_coverage()` 中添加新的覆盖统计
3. 更新覆盖率阈值(如需要)
4. 更新 Layer B 的断言条件
### 添加新的测试文件
1.`tests/acceptance/` 下创建 `test_<name>.py`
2. 使用 `conftest.py` 中的 fixtures`ir_data`, `parsed_data`, `llm_client`
3. 遵循 existing 的三层结构模式
4. 添加 `@pytest.mark.acceptance` marker
### 修改非功能章节判断逻辑
`test_main_health.py` 中的 `NON_FUNCTIONAL_PATTERNS``_is_functional_section()` 用于判断哪些章节包含功能需求。新增排除模式时,添加正则到 `NON_FUNCTIONAL_PATTERNS`
## 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
+16 -8
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@@ -1,10 +1,11 @@
"""Helper for dev agent to interact with Gitea issues and PRs. """Helper for QE/Dev agents to interact with Gitea issues and PRs.
Usage: Usage:
python scripts/agent_poller.py --action list python scripts/agent_poller.py --action list
python scripts/agent_poller.py --action list --labels test-dev
python scripts/agent_poller.py --action get --issue 1 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 comment --issue 1 --body "Working on this"
python scripts/agent_poller.py --action create-pr --issue 1 --branch fix/issue-1 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 pr-status --pr 4
python scripts/agent_poller.py --action merge-pr --pr 4 python scripts/agent_poller.py --action merge-pr --pr 4
python scripts/agent_poller.py --action close-issue --issue 2 --body "Done" python scripts/agent_poller.py --action close-issue --issue 2 --body "Done"
@@ -45,14 +46,19 @@ def _req(method, path, data=None):
# ── Issue operations ───────────────────────────────────────────────────────── # ── Issue operations ─────────────────────────────────────────────────────────
def list_issues(): def list_issues(labels: list[str] | None = None):
issues = _req("GET", "/issues?state=open") url = "/issues?state=open"
if labels:
for lb in labels:
url += f"&labels={lb}"
issues = _req("GET", url)
if not issues: if not issues:
print("No open issues found.") label_hint = f" (filtered by {labels})" if labels else ""
print(f"No open issues found{label_hint}.")
return [] return []
for i in issues: for i in issues:
labels = [l["name"] for l in i.get("labels", [])] issue_labels = [l["name"] for l in i.get("labels", [])]
print(f"#{i['number']} [{', '.join(labels) if labels else 'no label'}] {i['title']}") print(f"#{i['number']} [{', '.join(issue_labels) if issue_labels else 'no label'}] {i['title']}")
return issues return issues
@@ -200,6 +206,7 @@ def main():
parser.add_argument("--pr", type=int) parser.add_argument("--pr", type=int)
parser.add_argument("--branch") parser.add_argument("--branch")
parser.add_argument("--body") parser.add_argument("--body")
parser.add_argument("--labels", help="Comma-separated labels to filter issues (for 'list' action)")
args = parser.parse_args() args = parser.parse_args()
if not GITEA_TOKEN: if not GITEA_TOKEN:
@@ -208,7 +215,8 @@ def main():
sys.exit(1) sys.exit(1)
if args.action == "list": if args.action == "list":
list_issues() label_filter = [l.strip() for l in args.labels.split(",") if l.strip()] if args.labels else None
list_issues(label_filter)
elif args.action == "get": elif args.action == "get":
if not args.issue: if not args.issue:
print("--issue is required for 'get' action", file=sys.stderr) print("--issue is required for 'get' action", file=sys.stderr)
+183
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@@ -0,0 +1,183 @@
#!/usr/bin/env python3
"""End-to-end pipeline runner for QE acceptance testing.
Runs the complete document_analyzer pipeline:
1. doc_parser (docx → _parsed.json, if .docx provided)
2. ir_generation steps (parsed JSON → ir_final.json + audit report)
3. QE acceptance tests (optional, if --test flag)
Usage:
python scripts/run_pipeline.py --input <path.docx> # full pipeline
python scripts/run_pipeline.py --parsed <_updated.json> # skip doc_parser
python scripts/run_pipeline.py --parsed <_updated.json> --test # pipeline + acceptance tests
Outputs are placed in output/ matching the project config.py structure:
output/final/ir_final.json
output/final/ir_audit_report.md
acceptance-report.json (if --test)
"""
from __future__ import annotations
import argparse
import os
import subprocess
import sys
import json
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parent.parent
sys.path.insert(0, str(PROJECT_ROOT / "skills" / "ir_generation_skill"))
sys.path.insert(0, str(PROJECT_ROOT / "skills" / "doc_parser_skill" / "scripts"))
import config
# ── Stage 1: Document Parsing ────────────────────────────────────────────────
def run_doc_parser(docx_path: str, output_dir: str) -> str | None:
"""Run doc_parser on a .docx file. Returns path to _parsed.json or None."""
from doc_parser import parse_document
print(f"[1/3] Parsing document: {docx_path}")
result = parse_document(docx_path, output_dir, dry_run=False)
# parse_document returns {source, sections, image_sources, image_analysis}
# Output is saved as <basename>_parsed.json in output_dir
basename = os.path.splitext(os.path.basename(docx_path))[0]
parsed_path = os.path.join(output_dir, f"{basename}_parsed.json")
if os.path.isfile(parsed_path):
print(f"{parsed_path}")
return parsed_path
print(f" [FAIL] doc_parser output not found: {parsed_path}", file=sys.stderr)
return None
# ── Stage 2: IR Generation ───────────────────────────────────────────────────
def run_ir_pipeline(parsed_path: str) -> str | None:
"""Run the ir_generation steps. Returns path to ir_final.json or None."""
os.makedirs(config.PROJECT_OUTPUT, exist_ok=True)
os.makedirs(config.IR_OUTPUT, exist_ok=True)
os.makedirs(config.FINAL_OUTPUT, exist_ok=True)
env = os.environ.copy()
env["IR_INPUT_JSON"] = parsed_path
steps = [
("step1_semantic_index.py", "Semantic Index"),
("step2_ir_extraction.py", "IR Extraction"),
("step2_5_branch_coverage.py", "Branch Coverage"),
("step3_merge_and_audit.py", "Merge & Audit"),
]
print(f"[2/3] Generating IR from: {parsed_path}")
for script, label in steps:
script_path = PROJECT_ROOT / "skills" / "ir_generation_skill" / script
if not script_path.exists():
print(f" [FAIL] Missing: {script}", file=sys.stderr)
continue
print(f" Running {script} ({label})...")
result = subprocess.run(
[sys.executable, str(script_path)],
cwd=str(PROJECT_ROOT),
capture_output=True, text=True,
env=env,
)
if result.returncode != 0:
print(f" [FAIL] {script} failed (exit {result.returncode})", file=sys.stderr)
print(result.stderr[-500:], file=sys.stderr)
else:
# Print last line of stdout for brief progress
lines = result.stdout.strip().split("\n")
last = lines[-1] if lines else "done"
print(f" [OK] {label}: {last[:120]}")
if os.path.isfile(config.IR_FINAL_JSON):
print(f"{config.IR_FINAL_JSON}")
return config.IR_FINAL_JSON
print(" [FAIL] IR generation did not produce ir_final.json", file=sys.stderr)
return None
# ── Stage 3: Acceptance Tests ────────────────────────────────────────────────
def run_acceptance_tests(parsed_json_path: str) -> int:
"""Run QE acceptance tests. Returns pytest exit code."""
print("[3/3] Running QE acceptance tests...")
test_dir = PROJECT_ROOT / "tests" / "acceptance"
result = subprocess.run(
[
sys.executable, "-m", "pytest", str(test_dir),
"-v", "--run-acceptance",
"--ir-path", config.IR_FINAL_JSON,
"--parsed-path", parsed_json_path,
"--tb=short",
],
cwd=str(PROJECT_ROOT),
)
return result.returncode
# ── Main ─────────────────────────────────────────────────────────────────────
def main():
parser = argparse.ArgumentParser(description="Run the full document_analyzer pipeline")
parser.add_argument("--input", help="Path to .docx PRD file")
parser.add_argument("--parsed", help="Path to pre-parsed _updated.json (skip doc_parser)")
parser.add_argument("--test", action="store_true", help="Run acceptance tests after pipeline")
parser.add_argument("--output-dir", default=None, help="Output directory (default: output/)")
args = parser.parse_args()
parsed_path = args.parsed
# Stage 1: doc_parser
if args.input:
docx = args.input
if not os.path.isfile(docx):
print(f"Error: Input file not found: {docx}", file=sys.stderr)
sys.exit(1)
out_dir = args.output_dir or str(PROJECT_ROOT / "output")
parsed_path = run_doc_parser(docx, out_dir)
if not parsed_path:
print("\n[FAIL] Pipeline blocked at Stage 1 (doc_parser)", file=sys.stderr)
# Create tracking issue for dev-agent
_maybe_create_blocking_issue("doc_parser", f"Input: {docx}")
sys.exit(1)
if not parsed_path:
print("Error: Either --input or --parsed is required", file=sys.stderr)
sys.exit(1)
if not os.path.isfile(parsed_path):
print(f"Error: Parsed JSON not found: {parsed_path}", file=sys.stderr)
sys.exit(1)
# Stage 2: IR generation
ir_path = run_ir_pipeline(parsed_path)
if not ir_path:
print("\n[FAIL] Pipeline blocked at Stage 2 (ir_generation)", file=sys.stderr)
_maybe_create_blocking_issue("ir_generation", f"Parsed: {parsed_path}")
sys.exit(1)
print(f"\n[OK] Pipeline complete: {ir_path}")
# Stage 3: Acceptance tests
if args.test:
exit_code = run_acceptance_tests(parsed_path)
sys.exit(exit_code)
def _maybe_create_blocking_issue(stage: str, detail: str):
"""Notify about a pipeline blockage. The acceptance CI will create the issue."""
print(f"\n⚠ Stage '{stage}' failed. CI will create an acceptance-failure issue.", file=sys.stderr)
if __name__ == "__main__":
main()
+54
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@@ -0,0 +1,54 @@
#!/usr/bin/env bash
# QE-Agent 启动脚本 — 在 Git Bash 中运行
# 用法: bash scripts/start_qe_agent.sh
set -e
export GITEA_API_TOKEN="59117246ec418d5d87042de073b0d4197d8054bf"
export GITEA_URL="http://localhost:3000"
export GITEA_REPO="pzhang_zywl/document_analyzer"
cd "$(dirname "$0")/.."
echo "============================================"
echo " QE-Agent 启动器"
echo "============================================"
echo ""
echo "模式选择:"
echo " [1] 单次任务 - 检查一次 test-dev Issue 并处理"
echo " [2] 持续轮询 - 每 10 分钟检查一次 (推荐)"
echo " [3] 交互模式 - 进入对话手动操作"
echo ""
read -r -p "请输入 (1/2/3): " MODE
case "$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
+29 -11
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@@ -4,13 +4,16 @@ Usage::
pytest tests/acceptance/ -v --run-acceptance [--acceptance-runs=3] pytest tests/acceptance/ -v --run-acceptance [--acceptance-runs=3]
LLM configuration is read from ``~/.openclaw/config/secrets.yaml``: LLM configuration is read from secrets.yaml (searched in order):
1. QE_SECRETS_PATH env var
2. ~/.openclaw/config/secrets.yaml
3. ~/.openclaw/workspace-document-analyzer/config/secrets.yaml
deepseek.apiKey / deepseek.baseUrl → text model (deepseek-v4-flash) deepseek.apiKey / deepseek.baseUrl → text model (deepseek-v4-flash)
dashscope.apiKey / dashscope.baseUrl → vision model (qwen3-vl-plus)
Environment variables: Environment variables:
TEST_IR_PATH — path to IR JSON to validate (default: ir_final.json sample) TEST_IR_PATH — path to IR JSON (default: output/final/ir_final.json)
TEST_PARSED_PATH — path to _parsed.json or _updated.json for coverage analysis TEST_PARSED_PATH — path to _parsed.json or _updated.json (default: output/)
""" """
from __future__ import annotations from __future__ import annotations
@@ -30,7 +33,14 @@ import yaml
_PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent _PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent
sys.path.insert(0, str(_PROJECT_ROOT)) sys.path.insert(0, str(_PROJECT_ROOT))
_SECRETS_PATH = Path.home() / ".openclaw" / "config" / "secrets.yaml" # Try multiple known secrets locations (no single hardcoded path)
_SECRETS_CANDIDATES = [
Path.home() / ".openclaw" / "config" / "secrets.yaml",
Path.home() / ".openclaw" / "workspace-document-analyzer" / "config" / "secrets.yaml",
]
# Allow override via environment variable
_SECRETS_PATH = Path(os.environ.get("QE_SECRETS_PATH", ""))
def _skill_path(skill_name: str) -> str: def _skill_path(skill_name: str) -> str:
@@ -38,10 +48,16 @@ def _skill_path(skill_name: str) -> str:
def _load_secrets() -> dict: def _load_secrets() -> dict:
"""Load LLM configuration from secrets.yaml.""" """Load LLM configuration from secrets.yaml.
if _SECRETS_PATH.exists():
with open(_SECRETS_PATH, "r", encoding="utf-8") as f: Tries paths in order: QE_SECRETS_PATH env var → ~/.openclaw/config/ →
return yaml.safe_load(f) or {} ~/.openclaw/workspace-document-analyzer/config/.
"""
paths = [_SECRETS_PATH] + _SECRETS_CANDIDATES if _SECRETS_PATH.parts else _SECRETS_CANDIDATES
for p in paths:
if p.exists():
with open(p, "r", encoding="utf-8") as f:
return yaml.safe_load(f) or {}
return {} return {}
@@ -178,9 +194,11 @@ class _AcceptanceLLM:
ds_base = ds.get("baseUrl", "https://api.deepseek.com/v1") ds_base = ds.get("baseUrl", "https://api.deepseek.com/v1")
if not ds_key: if not ds_key:
tried = [str(p) for p in ([_SECRETS_PATH] + _SECRETS_CANDIDATES if _SECRETS_PATH.parts else _SECRETS_CANDIDATES)]
raise RuntimeError( raise RuntimeError(
"No DeepSeek API key found. Set deepseek.apiKey in " "No DeepSeek API key found. Tried:\n "
f"{_SECRETS_PATH} or DEEPSEEK_API_KEY env var." + "\n ".join(tried)
+ "\nSet deepseek.apiKey in secrets.yaml or DEEPSEEK_API_KEY env var."
) )
self._api_key = ds_key self._api_key = ds_key
+2
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@@ -95,6 +95,8 @@ def _is_functional_section(section_name: str) -> bool:
return False return False
# Documents with only a title (no section number) — check for functional keywords # Documents with only a title (no section number) — check for functional keywords
sec_num = _section_number(section_name) sec_num = _section_number(section_name)
if not sec_num:
return False
if "." not in sec_num and not sec_num[0].isdigit(): if "." not in sec_num and not sec_num[0].isdigit():
func_keywords = ["策略", "规则", "功能", "限制", "流程", "配置", "场景", func_keywords = ["策略", "规则", "功能", "限制", "流程", "配置", "场景",
"约束", "条件", "方案", "逻辑", "处理", "机制", "禁止"] "约束", "条件", "方案", "逻辑", "处理", "机制", "禁止"]