feat(ui): 初步完成历史记录前端适配

app/services/maa_log_analyzer.py

@@ -1,123 +0,0 @@
-import json
-import os
-import re
-from datetime import datetime, timedelta
-from pathlib import Path
-from collections import defaultdict
-from loguru import logger
-
-from app.core import Config
-
-
-def analyze_maa_logs(logs_directory: Path):
-    """
-    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
-    """
-    if not logs_directory.exists():
-        logger.error(f"目录不存在: {logs_directory}")
-        return
-
-    # **检查并删除超期日志**
-    clean_old_logs(logs_directory)
-
-    # 设定 JSON 输出路径
-    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"
-
-    aggregated_data = {
-        # "recruit_statistics": defaultdict(int),
-        "drop_statistics": defaultdict(lambda: defaultdict(int)),
-    }
-
-    log_files = list(logs_directory.rglob("*.log"))
-    if not log_files:
-        logger.error(f"没有找到 .log 文件: {logs_directory}")
-        return
-
-    for log_file in log_files:
-        analyze_single_log(log_file, aggregated_data)
-
-    # 生成 JSON 文件
-    with open(json_output_path, "w", encoding="utf-8") as json_file:
-        json.dump(aggregated_data, json_file, ensure_ascii=False, indent=4)
-
-    logger.info(f"统计完成：{json_output_path}")
-
-def analyze_single_log(log_file_path: Path, aggregated_data):
-    """
-    解析单个 .log 文件，提取公招结果 & 关卡掉落数据
-    """
-    # recruit_data = aggregated_data["recruit_statistics"]
-    drop_data = aggregated_data["drop_statistics"]
-
-    with open(log_file_path, "r", encoding="utf-8") as f:
-        logs = f.readlines()
-
-    # # **公招统计**
-    # i = 0
-    # while i < len(logs):
-    #     if "公招识别结果:" in logs[i]:
-    #         tags = []
-    #         i += 1
-    #         while i < len(logs) and "Tags" not in logs[i]:  # 读取所有公招标签
-    #             tags.append(logs[i].strip())
-    #             i += 1
-    #
-    #         if i < len(logs) and "Tags" in logs[i]:  # 确保 Tags 行存在
-    #             star_match = re.search(r"(\d+)\s*Tags", logs[i])  # 提取 3,4,5,6 星
-    #             if star_match:
-    #                 star_level = f"{star_match.group(1)}★"
-    #                 recruit_data[star_level] += 1
-    #     i += 1
-
-    # **掉落统计**
-    current_stage = None
-    for i, line in enumerate(logs):
-        drop_match = re.search(r"(\d+-\d+) 掉落统计:", line)
-        if drop_match:
-            current_stage = drop_match.group(1)
-            continue
-
-        if current_stage and re.search(r"(\S+)\s*:\s*(\d+)\s*\(\+\d+\)", line):
-            item_match = re.findall(r"(\S+)\s*:\s*(\d+)\s*\(\+(\d+)\)", line)
-            for item, total, increment in item_match:
-                drop_data[current_stage][item] += int(increment)
-
-    logger.info(f"处理完成：{log_file_path}")
-
-
-def clean_old_logs(logs_directory: Path):
-    """
-    删除超过用户设定天数的日志文件
-    """
-    retention_setting = Config.global_config.get(Config.global_config.function_LogRetentionDays)
-    retention_days_mapping = {
-        "7 天": 7,
-        "15 天": 15,
-        "30 天": 30,
-        "60 天": 60,
-        "永不清理": None
-    }
-
-    retention_days = retention_days_mapping.get(retention_setting, None)
-    if retention_days is None:
-        logger.info("🔵 用户设置日志保留时间为【永不清理】，跳过清理")
-        return
-
-    cutoff_time = datetime.now() - timedelta(days=retention_days)
-
-    deleted_count = 0
-    for log_file in logs_directory.rglob("*.log"):
-        file_time = datetime.fromtimestamp(log_file.stat().st_mtime)  # 获取文件的修改时间
-        if file_time < cutoff_time:
-            try:
-                os.remove(log_file)
-                deleted_count += 1
-                logger.info(f"🗑️ 已删除超期日志: {log_file}")
-            except Exception as e:
-                logger.error(f"❌ 删除日志失败: {log_file}, 错误: {e}")
-
-    logger.info(f"✅ 清理完成: {deleted_count} 个日志文件")
-
-# # 运行代码
-# logs_directory = Path("")
-# analyze_maa_logs(logs_directory)