feat：暂时为日志加上保存功能

src/common/logger.py

@@ -1,11 +1,32 @@
 import logging
+import logging.handlers
+from pathlib import Path
 from typing import Callable, Optional
+import json
 
 import structlog
 
-# TODO: customize the logger configuration as needed
-# TODO: compress the log output
-# TODO: output to a file with JSON format
+# 创建logs目录
+LOG_DIR = Path("logs")
+LOG_DIR.mkdir(exist_ok=True)
+
+# 配置标准logging以支持文件输出和压缩
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(message)s",
+    handlers=[
+        # 带压缩的轮转文件处理器
+        logging.handlers.RotatingFileHandler(
+            LOG_DIR / "app.log.jsonl",
+            maxBytes=10 * 1024 * 1024,  # 10MB
+            backupCount=5,
+            encoding="utf-8",
+        ),
+        # 控制台处理器
+        logging.StreamHandler(),
+    ],
+)
+
 structlog.configure(
     processors=[
         structlog.contextvars.merge_contextvars,
@@ -13,23 +34,108 @@ structlog.configure(
         structlog.processors.StackInfoRenderer(),
         structlog.dev.set_exc_info,
         structlog.processors.TimeStamper(fmt="%Y-%m-%d %H:%M:%S", utc=False),
-        structlog.dev.ConsoleRenderer(),
+        # 根据输出类型选择不同的渲染器
+        structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
     ],
-    wrapper_class=structlog.make_filtering_bound_logger(logging.NOTSET),
+    wrapper_class=structlog.stdlib.BoundLogger,
     context_class=dict,
-    logger_factory=structlog.PrintLoggerFactory(),
-    cache_logger_on_first_use=False,
+    logger_factory=structlog.stdlib.LoggerFactory(),
+    cache_logger_on_first_use=True,
 )
 
+# 为文件输出配置JSON格式
+file_formatter = structlog.stdlib.ProcessorFormatter(
+    processor=structlog.processors.JSONRenderer(ensure_ascii=False),
+    foreign_pre_chain=[
+        structlog.stdlib.add_logger_name,
+        structlog.stdlib.add_log_level,
+        structlog.stdlib.PositionalArgumentsFormatter(),
+        structlog.processors.TimeStamper(fmt="iso"),
+        structlog.processors.StackInfoRenderer(),
+        structlog.processors.format_exc_info,
+    ],
+)
+
+# 为控制台输出配置可读格式
+console_formatter = structlog.stdlib.ProcessorFormatter(
+    processor=structlog.dev.ConsoleRenderer(colors=True),
+    foreign_pre_chain=[
+        structlog.stdlib.add_logger_name,
+        structlog.stdlib.add_log_level,
+        structlog.stdlib.PositionalArgumentsFormatter(),
+        structlog.processors.TimeStamper(fmt="%Y-%m-%d %H:%M:%S", utc=False),
+        structlog.processors.StackInfoRenderer(),
+        structlog.processors.format_exc_info,
+    ],
+)
+
+# 获取根logger并配置格式化器
+root_logger = logging.getLogger()
+for handler in root_logger.handlers:
+    if isinstance(handler, logging.handlers.RotatingFileHandler):
+        handler.setFormatter(file_formatter)
+    else:
+        handler.setFormatter(console_formatter)
+
 raw_logger = structlog.get_logger()
 
 binds: dict[str, Callable] = {}
 
 
 def get_logger(name: Optional[str]):
+    """获取logger实例，支持按名称绑定"""
     if name is None:
         return raw_logger
     logger = binds.get(name)
     if logger is None:
         binds[name] = logger = structlog.get_logger(name).bind(logger_name=name)
     return logger
+
+
+def configure_logging(
+    level: str = "INFO",
+    max_bytes: int = 10 * 1024 * 1024,
+    backup_count: int = 5,
+    log_dir: str = "logs",
+):
+    """动态配置日志参数"""
+    log_path = Path(log_dir)
+    log_path.mkdir(exist_ok=True)
+    
+    # 更新文件handler配置
+    root_logger = logging.getLogger()
+    for handler in root_logger.handlers:
+        if isinstance(handler, logging.handlers.RotatingFileHandler):
+            handler.maxBytes = max_bytes
+            handler.backupCount = backup_count
+            handler.baseFilename = str(log_path / "app.log.jsonl")
+    
+    # 设置日志级别
+    root_logger.setLevel(getattr(logging, level.upper()))
+
+def format_json_for_logging(data, indent=2, ensure_ascii=False):
+    """将JSON数据格式化为可读字符串
+    
+    Args:
+        data: 要格式化的数据（字典、列表等）
+        indent: 缩进空格数
+        ensure_ascii: 是否确保ASCII编码
+        
+    Returns:
+        str: 格式化后的JSON字符串
+    """
+    if isinstance(data, str):
+        try:
+            # 如果是JSON字符串，先解析再格式化
+            parsed_data = json.loads(data)
+            return json.dumps(parsed_data, indent=indent, ensure_ascii=ensure_ascii)
+        except json.JSONDecodeError:
+            # 如果不是有效JSON，直接返回
+            return data
+    else:
+        # 如果是对象，直接格式化
+        try:
+            return json.dumps(data, indent=indent, ensure_ascii=ensure_ascii)
+        except (TypeError, ValueError):
+            # 如果无法序列化，返回字符串表示
+            return str(data)