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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
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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 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
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2026-05-31 16:17:59 +08:00
5 changed files with 235 additions and 28 deletions
+33 -25
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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=$(python -c "import json; r=json.load(open('acceptance-report.json')); fd=r.get('failure_details',[]); print('\\n'.join(f'- {d}' for d in fd) if fd else '')")
--message "QE Acceptance Tests Failed" fi
--workflow "QE Acceptance" python scripts/create_failure_issue.py \
--sha "${{ github.sha }}" --branch "main" \
--run "${{ github.run_number }}" \
--message "QE Acceptance: ${SUMMARY:-pipeline failed}" \
--workflow "QE Acceptance" \
--labels "acceptance-failure,agent-task" --labels "acceptance-failure,agent-task"
+13
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@@ -7,6 +7,19 @@ description: QE Agent — 自动化验收测试开发与质量门禁。轮询 Gi
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(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 ## 环境要求
开始工作前,确认以下环境变量已设置: 开始工作前,确认以下环境变量已设置:
+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()
+3 -2
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@@ -37,8 +37,9 @@ case "$MODE" in
;; ;;
3) 3)
echo "" echo ""
echo "启动交互模式..." echo "启动交互模式 (默认 10 分钟轮询)..."
echo "进入后输入: 检查 Gitea test-dev Issues 并处理" echo "按 Ctrl+C 停止"
echo ""
echo "可用命令速查:" echo "可用命令速查:"
echo " agent_poller.py --action list --labels test-dev" echo " agent_poller.py --action list --labels test-dev"
echo " agent_poller.py --action list --labels acceptance-failure" echo " agent_poller.py --action list --labels acceptance-failure"
+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"]