aoxuan
3a9c670172
- 在配置文件中添加日志保存和保留天数设置项 - 实现日志保存功能，每次运行后保存日志到指定目录 - 添加日志分析功能，掉落信息并保存为 JSON 文件 - 在设置界面新增日志管理相关配置选项 todo: 日志清理可能有问题、多账号日志可能会保存为上一个账号的日志（加了time.sleep还没测）
124 lines
4.1 KiB
Python
124 lines
4.1 KiB
Python
import json
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import os
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import re
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from datetime import datetime, timedelta
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from pathlib import Path
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from collections import defaultdict
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from loguru import logger
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from app.core import Config
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def analyze_maa_logs(logs_directory: Path):
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"""
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遍历 logs_directory 下所有 .log 文件，解析公招和掉落信息，并保存为 JSON 文件
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"""
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if not logs_directory.exists():
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logger.error(f"目录不存在: {logs_directory}")
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return
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# **检查并删除超期日志**
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clean_old_logs(logs_directory)
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# 设定 JSON 输出路径
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json_output_path = logs_directory / f"{logs_directory.name}.json" if logs_directory.parent.name == "maa_run_history" else logs_directory.parent / f"{logs_directory.name}.json"
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aggregated_data = {
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# "recruit_statistics": defaultdict(int),
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"drop_statistics": defaultdict(lambda: defaultdict(int)),
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}
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log_files = list(logs_directory.rglob("*.log"))
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if not log_files:
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logger.error(f"没有找到 .log 文件: {logs_directory}")
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return
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for log_file in log_files:
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analyze_single_log(log_file, aggregated_data)
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# 生成 JSON 文件
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with open(json_output_path, "w", encoding="utf-8") as json_file:
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json.dump(aggregated_data, json_file, ensure_ascii=False, indent=4)
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logger.info(f"统计完成：{json_output_path}")
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def analyze_single_log(log_file_path: Path, aggregated_data):
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"""
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解析单个 .log 文件，提取公招结果 & 关卡掉落数据
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"""
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# recruit_data = aggregated_data["recruit_statistics"]
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drop_data = aggregated_data["drop_statistics"]
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with open(log_file_path, "r", encoding="utf-8") as f:
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logs = f.readlines()
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# # **公招统计**
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# i = 0
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# while i < len(logs):
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# if "公招识别结果:" in logs[i]:
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# tags = []
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# i += 1
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# while i < len(logs) and "Tags" not in logs[i]: # 读取所有公招标签
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# tags.append(logs[i].strip())
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# i += 1
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#
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# if i < len(logs) and "Tags" in logs[i]: # 确保 Tags 行存在
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# star_match = re.search(r"(\d+)\s*Tags", logs[i]) # 提取 3,4,5,6 星
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# if star_match:
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# star_level = f"{star_match.group(1)}★"
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# recruit_data[star_level] += 1
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# i += 1
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# **掉落统计**
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current_stage = None
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for i, line in enumerate(logs):
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drop_match = re.search(r"(\d+-\d+) 掉落统计:", line)
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if drop_match:
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current_stage = drop_match.group(1)
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continue
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if current_stage and re.search(r"(\S+)\s*:\s*(\d+)\s*\(\+\d+\)", line):
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item_match = re.findall(r"(\S+)\s*:\s*(\d+)\s*\(\+(\d+)\)", line)
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for item, total, increment in item_match:
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drop_data[current_stage][item] += int(increment)
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logger.info(f"处理完成：{log_file_path}")
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def clean_old_logs(logs_directory: Path):
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"""
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删除超过用户设定天数的日志文件
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"""
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retention_setting = Config.global_config.get(Config.global_config.function_LogRetentionDays)
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retention_days_mapping = {
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"7 天": 7,
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"15 天": 15,
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"30 天": 30,
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"60 天": 60,
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"永不清理": None
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}
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retention_days = retention_days_mapping.get(retention_setting, None)
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if retention_days is None:
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logger.info("🔵 用户设置日志保留时间为【永不清理】，跳过清理")
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return
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cutoff_time = datetime.now() - timedelta(days=retention_days)
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deleted_count = 0
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for log_file in logs_directory.rglob("*.log"):
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file_time = datetime.fromtimestamp(log_file.stat().st_mtime) # 获取文件的修改时间
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if file_time < cutoff_time:
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try:
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os.remove(log_file)
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deleted_count += 1
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logger.info(f"🗑️ 已删除超期日志: {log_file}")
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except Exception as e:
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logger.error(f"❌ 删除日志失败: {log_file}, 错误: {e}")
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logger.info(f"✅ 清理完成: {deleted_count} 个日志文件")
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# # 运行代码
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# logs_directory = Path("")
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# analyze_maa_logs(logs_directory)
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