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。
116 lines
3.2 KiB
Python
116 lines
3.2 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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"""
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简单日志汇总脚本
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遍历 logs/ 目录下最近的若干个 dashboard.log 文件，统计 ERROR / WARNING / CRITICAL，
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并输出简要汇总信息，供 log-summary Skill 调用。
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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 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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LEVEL_PATTERNS = {
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"ERROR": re.compile(r"\bERROR\b"),
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"WARNING": re.compile(r"\bWARNING\b"),
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"CRITICAL": re.compile(r"\bCRITICAL\b"),
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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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# 按修改时间从新到旧排序
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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 summarize_file(path: Path):
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counts = {level: 0 for level in LEVEL_PATTERNS.keys()}
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top_messages = {}
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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 level, pattern in LEVEL_PATTERNS.items():
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if pattern.search(line):
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counts[level] += 1
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# 取日志消息部分做前缀（粗略）
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msg = line.strip()
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# 截断以防过长
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msg = msg[:200]
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top_messages[msg] = top_messages.get(msg, 0) + 1
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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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# 取 Top 5
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top_list = sorted(top_messages.items(), key=lambda x: x[1], reverse=True)[:5]
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return counts, top_list
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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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print(f"共找到 {len(log_files)} 个最近的日志文件（最多 {MAX_FILES} 个）：\n")
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overall = {level: 0 for level in LEVEL_PATTERNS.keys()}
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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 = summarize_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, top_list = result
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for level, c in counts.items():
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overall[level] += c
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print(
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" 级别统计: "
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+ ", ".join(f"{lvl}={counts[lvl]}" for lvl in LEVEL_PATTERNS.keys())
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)
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if top_list:
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print(" Top 错误/警告消息：")
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for msg, n in top_list:
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print(f" [{n}次] {msg}")
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else:
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print(" 未发现 ERROR/WARNING/CRITICAL 级别日志。")
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print()
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print("总体统计：")
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print(
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" "
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+ ", ".join(f"{lvl}={overall[lvl]}" for lvl in LEVEL_PATTERNS.keys())
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)
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if __name__ == "__main__":
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main()
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