0bee1c86fc
- 新增 `ai-metrics-report` 技能，自动生成 AI 成功率、错误率与 Token 成本的综合报告，帮助评估智能助手表现。 - 新增 `config-audit` 技能，检查当前环境配置的完整性与可用性，输出健康检查报告，确保系统稳定运行。 - 相关脚本已实现，支持从项目根目录执行并输出结构化结果。
130 lines
4.0 KiB
Python
130 lines
4.0 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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HTTP 错误日志分析脚本
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扫描 logs/*/dashboard.log，统计常见 4xx/5xx HTTP 状态码（如 404/500），
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并输出按状态码分组的出现次数与若干示例行，供 http-error-analyzer Skill 使用。
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"""
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import os
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import re
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from pathlib import Path
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from typing import Dict, List, Tuple
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LOG_ROOT = Path("logs")
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LOG_FILENAME = "dashboard.log"
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MAX_FILES = 5 # 最多分析最近 N 个日志文件
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# 简单匹配常见 HTTP 错误码；根据你实际日志格式可以再调整
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ERROR_CODES = [404, 500, 502, 503]
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CODE_PATTERNS: Dict[int, re.Pattern] = {
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code: re.compile(rf"\b{code}\b") for code in ERROR_CODES
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}
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def find_log_files() -> List[Path]:
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if not LOG_ROOT.exists():
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return []
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candidates: List[Tuple[float, Path]] = []
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for root, dirs, files in os.walk(LOG_ROOT):
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if LOG_FILENAME in files:
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p = Path(root) / LOG_FILENAME
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try:
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mtime = p.stat().st_mtime
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except OSError:
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continue
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candidates.append((mtime, p))
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candidates.sort(key=lambda x: x[0], reverse=True)
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return [p for _, p in candidates[:MAX_FILES]]
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def analyze_file(path: Path):
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"""
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返回:
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counts: {status_code: 次数}
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samples: {status_code: [示例行1, 示例行2, ...]}
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"""
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counts: Dict[int, int] = {code: 0 for code in ERROR_CODES}
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samples: Dict[int, List[str]] = {code: [] for code in ERROR_CODES}
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try:
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with path.open("r", encoding="utf-8", errors="ignore") as f:
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for line in f:
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for code, pattern in CODE_PATTERNS.items():
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if pattern.search(line):
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counts[code] += 1
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# 只收集每个状态码前若干条示例
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if len(samples[code]) < 5:
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samples[code].append(line.strip()[:300])
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break
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except OSError as e:
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print(f"[!] 读取日志失败 {path}: {e}")
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return None
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return counts, samples
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def main():
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log_files = find_log_files()
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if not log_files:
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print("未找到任何日志文件（logs/*/dashboard.log）。")
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return
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overall_counts: Dict[int, int] = {code: 0 for code in ERROR_CODES}
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overall_samples: Dict[int, List[str]] = {code: [] for code in ERROR_CODES}
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print(f"=== HTTP 错误日志分析（最近最多 {MAX_FILES} 个日志文件）===\n")
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for idx, path in enumerate(log_files, start=1):
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print(f"[{idx}] 日志文件: {path}")
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result = analyze_file(path)
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if result is None:
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print(" 无法读取该日志文件。\n")
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continue
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counts, samples = result
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any_error = any(counts[code] > 0 for code in ERROR_CODES)
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if not any_error:
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print(" 未发现 404/500/502/503 等 HTTP 错误。")
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print()
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continue
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for code in ERROR_CODES:
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c = counts[code]
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if c == 0:
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continue
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overall_counts[code] += c
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overall_samples[code].extend(samples[code])
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print(f" 状态码 {code}: {c} 次")
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if samples[code]:
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print(" 示例：")
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for line in samples[code]:
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print(f" {line}")
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print()
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print("=== 汇总统计 ===")
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any_overall = any(overall_counts[code] > 0 for code in ERROR_CODES)
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if not any_overall:
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print(" 未在最近的日志文件中发现任何配置的 HTTP 错误状态码。")
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return
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for code in ERROR_CODES:
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c = overall_counts[code]
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if c == 0:
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continue
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print(f" 状态码 {code}: {c} 次")
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print("\n提示：以上为按状态码汇总的次数与部分示例行，")
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print("你可以结合 URL 路径、接口名称、堆栈片段来推断可能的路由配置问题、权限问题或后端异常。")
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if __name__ == "__main__":
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main()
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