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- Add SKILL.md directory format (YAML frontmatter + Markdown instructions + scripts/) - 3 pilot experts converted: bugfix/, fastapi/, testgen/ (with scripts) - expert_loader.py: load_skill_dir() + load_directory() supports both formats - expert_registry.py: get_instructions() (Level 2) + get_scripts() (Level 3) - gate.py: uses instructions field for SKILL.md experts - prompt_optimizer.py: _update_skill_md() appends rules to markdown body - SKILL.md takes priority over same-name YAML (backward compat preserved) - 19 new tests (311 total, all passing) Progressive disclosure architecture: Level 1 (Gate): name + keywords only (~100 tokens per expert) Level 2 (Generator): full instructions loaded only for matched expert Level 3 (on-demand): scripts executed deterministically, never enter LLM context Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
"""从pytest输出中提取关键失败信息。
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确定性脚本，不进LLM context，直接执行返回结构化结果。
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"""
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import re
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import sys
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def extract_traceback(pytest_output: str) -> dict:
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"""
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从pytest输出中提取：
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- 失败的测试名
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- 异常类型和消息
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- 出错的文件和行号
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返回结构化dict。
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"""
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result = {
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"failed_tests": [],
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"exceptions": [],
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"error_locations": [],
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}
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# 提取失败的测试名
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failed_pattern = r"FAILED\s+([\w/.:]+)"
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for m in re.finditer(failed_pattern, pytest_output):
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result["failed_tests"].append(m.group(1))
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# 提取异常类型和消息
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exc_pattern = r"([\w.]+Error|[\w.]+Exception):\s*(.+)"
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for m in re.finditer(exc_pattern, pytest_output):
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result["exceptions"].append({
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"type": m.group(1),
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"message": m.group(2).strip()[:200],
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})
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# 提取文件:行号
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loc_pattern = r'File "([^"]+)", line (\d+)'
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for m in re.finditer(loc_pattern, pytest_output):
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filepath = m.group(1)
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# 跳过标准库和site-packages
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if "site-packages" in filepath or "lib/python" in filepath:
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continue
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result["error_locations"].append({
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"file": filepath,
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"line": int(m.group(2)),
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})
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return result
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if __name__ == "__main__":
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import json
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text = sys.stdin.read()
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print(json.dumps(extract_traceback(text), ensure_ascii=False, indent=2))
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