feat(core): 新增日志管理功能

- 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）

app/services/maa_log_analyzer.py

@@ -0,0 +1,123 @@
+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)