"""
ELIS - Error Log Intelligent Summary Helper v5.0 (简化版)
用于在 MRE 失败时自动生成错误分析报告
"""
import json
def analyze_error_logs(exec_output, problem_context="unknown"):
"""分析错误日志并返回结构化结果（规则引擎实现）"""
# 提取错误关键行
lines = exec_output.strip().split('\n') if exec_output else []
error_lines = [line for line in lines if any(kw in line.lower() for kw in ['error', 'fail', 'exception'])][:3]
# 规则引擎分析
analysis = {
"core_issue": "",
"causes": [],
"fix_command": "",
"risk_level": "Medium",
"confidence_score": 0.85,
"rollback_command": "# 暂无回滚命令"
}
# 规则 1：检测 pty 相关错误
if any('pty' in line.lower() for line in error_lines):
analysis["core_issue"] = "exec 命令未指定 pty=true，导致 TTY 终端程序运行失败"
analysis["causes"] = [
"当前会话配置中缺少 pty 参数",
"目标命令需要交互式终端环境（如 tail -f, grep 等）",
"执行模式为 sandboxed，未传递正确的 shell 环境变量"
]
analysis["fix_command"] = "openclaw doctor --fix --pty=true --yieldMs=15000"
# 规则 2：检测权限错误
elif any('permission' in line.lower() for line in error_lines):
analysis["core_issue"] = "exec 命令需要管理员权限或目标路径缺少执行权限"
analysis["causes"] = [
"当前用户没有文件/目录的执行权限",
"可能需要使用 sudo 或以 root 身份运行"
]
analysis["fix_command"] = "sudo openclaw doctor --fix --pty=true"
# 规则 3：检测超时错误
elif any('timeout' in line.lower() for line in error_lines):
analysis["core_issue"] = "执行命令超时（默认 30 秒），需要增加 timeout 参数"
analysis["causes"] = [
"网络请求或长任务超过默认超时时间",
"可能需要使用 --timeout=300 延长等待时间"
]
analysis["fix_command"] = "openclaw doctor --fix --timeout=300"
else:
analysis["core_issue"] = f"执行失败：{''.join(error_lines)[:100]}"
analysis["causes"] = ["请查看完整日志或使用 canvas 报告查看详细信息"]
return analysis
def generate_diagnosis_report_html(analysis):
"""根据分析结果生成简单的 HTML 报告"""
html = f"""
诊断报告
OpenClaw 诊断报告 v5.0
核心问题：{analysis.get('core_issue','待分析')}
可能原因：
{"".join([f"- {c}
" for c in analysis.get('causes',[])])}
修复建议：
{analysis.get('fix_command','')}
风险等级：{analysis.get('risk_level','Low')}
置信度：{analysis.get('confidence_score',0):.2f}
"""
return html
if __name__ == "__main__":
# 测试
test_output = "ERROR: Command not found: tail -f\\nReason: pty=true parameter is missing"
analysis = analyze_error_logs(test_output, "CLI/Config")
print(json.dumps(analysis, indent=2))