Upload logger.js

src/lib/logger.js

@@ -36,9 +36,25 @@ class Logger {
   logRequestStart(method, url, headers = {}, body = {}) {
     const requestId = this.generateRequestId()
     const timestamp = this.getTimestamp()
-    
+
     // 提取关键信息，避免记录敏感数据
     const logData = {
+      请求ID: requestId,
+      时间: timestamp,
+      方法: method,
+      路径: url,
+      用户代理: headers['user-agent'] || '未知',
+      内容类型: headers['content-type'] || '未知',
+      内容长度: headers['content-length'] || '未知',
+      模型: body.model || '未知',
+      消息数量: Array.isArray(body.messages) ? body.messages.length : 0,
+      包含图片: this.detectImages(body.messages),
+      流式请求: body.stream === true
+    }
+
+    // 记录到活跃请求映射
+    this.activeRequests.set(requestId, {
+      startTime: Date.now(),
       requestId,
       timestamp,
       method,
@@ -50,15 +66,9 @@ class Logger {
       messageCount: Array.isArray(body.messages) ? body.messages.length : 0,
       hasImages: this.detectImages(body.messages),
       isStream: body.stream === true
-    }
-
-    // 记录到活跃请求映射
-    this.activeRequests.set(requestId, {
-      startTime: Date.now(),
-      ...logData
     })
 
-    console.log(`[REQUEST_START] ${JSON.stringify(logData)}`)
+    console.log(`[请求开始] ${JSON.stringify(logData)}`)
     return requestId
   }
 
@@ -71,27 +81,27 @@ class Logger {
   logRequestEnd(requestId, statusCode, responseInfo = {}) {
     const timestamp = this.getTimestamp()
     const activeRequest = this.activeRequests.get(requestId)
-    
+
     if (!activeRequest) {
-      console.warn(`[REQUEST_END] 未找到请求ID: ${requestId}`)
+      console.warn(`[请求结束] 未找到请求ID: ${requestId}`)
       return
     }
 
     const duration = Date.now() - activeRequest.startTime
-    
+
     const logData = {
-      requestId,
-      timestamp,
-      duration: `${duration}ms`,
-      statusCode,
-      success: statusCode >= 200 && statusCode < 300,
-      model: activeRequest.model,
-      isStream: activeRequest.isStream,
+      请求ID: requestId,
+      时间: timestamp,
+      耗时: `${duration}ms`,
+      状态码: statusCode,
+      成功: statusCode >= 200 && statusCode < 300,
+      模型: activeRequest.model,
+      流式请求: activeRequest.isStream,
       ...responseInfo
     }
 
-    console.log(`[REQUEST_END] ${JSON.stringify(logData)}`)
-    
+    console.log(`[请求结束] ${JSON.stringify(logData)}`)
+
     // 清理活跃请求
     this.activeRequests.delete(requestId)
   }
@@ -104,13 +114,13 @@ class Logger {
   logImageProcessingStart(requestId, imageCount) {
     const timestamp = this.getTimestamp()
     const logData = {
-      requestId,
-      timestamp,
-      event: 'IMAGE_PROCESSING_START',
-      imageCount
+      请求ID: requestId,
+      时间: timestamp,
+      事件: '图片处理开始',
+      图片数量: imageCount
     }
-    
-    console.log(`[IMAGE_PROCESSING] ${JSON.stringify(logData)}`)
+
+    console.log(`[图片处理] ${JSON.stringify(logData)}`)
   }
 
   /**
@@ -122,16 +132,16 @@ class Logger {
   logLongImageDetection(requestId, imageIndex, detection) {
     const timestamp = this.getTimestamp()
     const logData = {
-      requestId,
-      timestamp,
-      event: 'LONG_IMAGE_DETECTION',
-      imageIndex,
-      isLongImage: detection.isLongImage,
-      dimensions: `${detection.width}x${detection.height}`,
-      ratio: detection.ratio?.toFixed(2)
+      请求ID: requestId,
+      时间: timestamp,
+      事件: '长图检测',
+      图片索引: imageIndex,
+      是否长图: detection.isLongImage ? '是' : '否',
+      尺寸: `${detection.width}x${detection.height}`,
+      高宽比: detection.ratio?.toFixed(2)
     }
-    
-    console.log(`[IMAGE_PROCESSING] ${JSON.stringify(logData)}`)
+
+    console.log(`[图片处理] ${JSON.stringify(logData)}`)
   }
 
   /**
@@ -143,18 +153,18 @@ class Logger {
   logImageCropping(requestId, imageIndex, cropResult) {
     const timestamp = this.getTimestamp()
     const stats = cropResult.stats || {}
-    
+
     const logData = {
-      requestId,
-      timestamp,
-      event: 'IMAGE_CROPPING',
-      imageIndex,
-      totalSegments: stats.totalSegments || 0,
-      originalDimensions: stats.originalDimensions,
-      segmentCount: cropResult.segments?.length || 0
+      请求ID: requestId,
+      时间: timestamp,
+      事件: '图片切割',
+      图片索引: imageIndex,
+      切割片段数: stats.totalSegments || 0,
+      原始尺寸: stats.originalDimensions,
+      实际片段数: cropResult.segments?.length || 0
     }
-    
-    console.log(`[IMAGE_PROCESSING] ${JSON.stringify(logData)}`)
+
+    console.log(`[图片处理] ${JSON.stringify(logData)}`)
   }
 
   /**
@@ -169,17 +179,17 @@ class Logger {
   logImageUpload(requestId, imageIndex, segmentIndex, success, url = null, error = null) {
     const timestamp = this.getTimestamp()
     const logData = {
-      requestId,
-      timestamp,
-      event: 'IMAGE_UPLOAD',
-      imageIndex,
-      segmentIndex,
-      success,
-      url: success ? url : null,
-      error: success ? null : error
+      请求ID: requestId,
+      时间: timestamp,
+      事件: '图片上传',
+      图片索引: imageIndex,
+      片段索引: segmentIndex,
+      成功: success ? '是' : '否',
+      上传地址: success ? url : null,
+      错误信息: success ? null : error
     }
-    
-    console.log(`[IMAGE_PROCESSING] ${JSON.stringify(logData)}`)
+
+    console.log(`[图片处理] ${JSON.stringify(logData)}`)
   }
 
   /**
@@ -191,14 +201,14 @@ class Logger {
   logModelCallStart(requestId, model, mammouthModel) {
     const timestamp = this.getTimestamp()
     const logData = {
-      requestId,
-      timestamp,
-      event: 'MODEL_CALL_START',
-      requestedModel: model,
-      mammouthModel,
+      请求ID: requestId,
+      时间: timestamp,
+      事件: '模型调用开始',
+      请求模型: model,
+      实际模型: mammouthModel,
     }
-    
-    console.log(`[MODEL_CALL] ${JSON.stringify(logData)}`)
+
+    console.log(`[模型调用] ${JSON.stringify(logData)}`)
   }
 
   /**
@@ -211,15 +221,15 @@ class Logger {
   logModelCallEnd(requestId, success, error = null, duration = null) {
     const timestamp = this.getTimestamp()
     const logData = {
-      requestId,
-      timestamp,
-      event: 'MODEL_CALL_END',
-      success,
-      error: success ? null : error,
-      duration: duration ? `${duration}ms` : null
+      请求ID: requestId,
+      时间: timestamp,
+      事件: '模型调用结束',
+      成功: success ? '是' : '否',
+      错误信息: success ? null : error,
+      耗时: duration ? `${duration}ms` : null
     }
-    
-    console.log(`[MODEL_CALL] ${JSON.stringify(logData)}`)
+
+    console.log(`[模型调用] ${JSON.stringify(logData)}`)
   }
 
   /**
@@ -232,15 +242,15 @@ class Logger {
   logError(requestId, errorType, errorMessage, errorDetails = {}) {
     const timestamp = this.getTimestamp()
     const logData = {
-      requestId,
-      timestamp,
-      event: 'ERROR',
-      errorType,
-      errorMessage,
+      请求ID: requestId,
+      时间: timestamp,
+      事件: '错误',
+      错误类型: errorType,
+      错误信息: errorMessage,
       ...errorDetails
     }
-    
-    console.error(`[ERROR] ${JSON.stringify(logData)}`)
+
+    console.error(`[错误] ${JSON.stringify(logData)}`)
   }
 
   /**
@@ -266,14 +276,31 @@ class Logger {
    * @returns {boolean}
    */
   detectImages(messages) {
-    if (!Array.isArray(messages)) return false
-    
-    return messages.some(message => {
+    if (!Array.isArray(messages)) {
+      console.log(`[图片检测] 消息不是数组: ${typeof messages}`)
+      return false
+    }
+
+    let hasImages = false
+    let imageCount = 0
+
+    messages.forEach((message, index) => {
       if (Array.isArray(message.content)) {
-        return message.content.some(part => part.type === 'image_url')
+        const imagePartsCount = message.content.filter(part => part.type === 'image_url').length
+        if (imagePartsCount > 0) {
+          hasImages = true
+          imageCount += imagePartsCount
+          console.log(`[图片检测] 消息${index}包含${imagePartsCount}张图片`)
+        }
+      } else if (typeof message.content === 'string') {
+        console.log(`[图片检测] 消息${index}是纯文本`)
+      } else {
+        console.log(`[图片检测] 消息${index}内容类型: ${typeof message.content}`)
       }
-      return false
     })
+
+    console.log(`[图片检测] 总计检测到${imageCount}张图片`)
+    return hasImages
   }
 
   /**