refactor(logging): 将console替换为logger以统一日志管理

src/renderer/src/aiCore/index_new.ts

@@ -435,7 +435,7 @@ export default class ModernAiProvider {
         const result = await this.modernGenerateImage(params)
         return result
       } catch (error) {
-        console.warn('Modern AI SDK generateImage failed, falling back to legacy:', error)
+        logger.warn('Modern AI SDK generateImage failed, falling back to legacy:', error as Error)
         // fallback 到传统实现
         return this.legacyProvider.generateImage(params)
       }

src/renderer/src/aiCore/legacy/clients/ApiClientFactory.ts

@@ -62,7 +62,7 @@ export class ApiClientFactory {
         instance = new GeminiAPIClient(provider) as BaseApiClient
         break
       case 'vertexai':
-        console.log(`[ApiClientFactory] Creating VertexAPIClient for provider: ${provider.id}`)
+        logger.debug(`Creating VertexAPIClient for provider: ${provider.id}`)
         // 检查 VertexAI 配置
         if (!isVertexAIConfigured()) {
           throw new Error(

src/renderer/src/aiCore/middleware/AiSdkMiddlewareBuilder.ts

@@ -3,9 +3,12 @@ import {
   LanguageModelV2Middleware,
   simulateStreamingMiddleware
 } from '@cherrystudio/ai-core'
+import { loggerService } from '@logger'
 import type { MCPTool, Model, Provider } from '@renderer/types'
 import type { Chunk } from '@renderer/types/chunk'
 
+const logger = loggerService.withContext('AiSdkMiddlewareBuilder')
+
 /**
  * AI SDK 中间件配置项
  */
@@ -57,7 +60,7 @@ export class AiSdkMiddlewareBuilder {
     if (index !== -1) {
       this.middlewares.splice(index + 1, 0, middleware)
     } else {
-      console.warn(`AiSdkMiddlewareBuilder: 未找到名为 '${targetName}' 的中间件，无法插入`)
+      logger.warn(`AiSdkMiddlewareBuilder: Middleware named '${targetName}' not found, cannot insert`)
     }
     return this
   }
@@ -132,7 +135,7 @@ export function buildAiSdkMiddlewares(config: AiSdkMiddlewareConfig): LanguageMo
     })
   }
 
-  console.log('builder.build()', builder.buildNamed())
+  logger.info('builder.build()', builder.buildNamed())
   return builder.build()
 }
 

src/renderer/src/aiCore/plugins/PluginBuilder.ts

@@ -1,5 +1,6 @@
 import { AiPlugin } from '@cherrystudio/ai-core'
 import { createPromptToolUsePlugin, webSearchPlugin } from '@cherrystudio/ai-core/built-in/plugins'
+import { loggerService } from '@logger'
 import { getEnableDeveloperMode } from '@renderer/hooks/useSettings'
 import { Assistant } from '@renderer/types'
 
@@ -8,6 +9,7 @@ import reasoningTimePlugin from './reasoningTimePlugin'
 import { searchOrchestrationPlugin } from './searchOrchestrationPlugin'
 import { createTelemetryPlugin } from './telemetryPlugin'
 
+const logger = loggerService.withContext('PluginBuilder')
 /**
  * 根据条件构建插件数组
  */
@@ -70,8 +72,8 @@ export function buildPlugins(
   // if (!middlewareConfig.enableTool && middlewareConfig.mcpTools && middlewareConfig.mcpTools.length > 0) {
   //   plugins.push(createNativeToolUsePlugin())
   // }
-  console.log(
+  logger.info(
-    '最终插件列表:',
+    'Final plugin list:',
     plugins.map((p) => p.name)
   )
   return plugins

src/renderer/src/aiCore/plugins/searchOrchestrationPlugin.ts

@@ -119,7 +119,7 @@ async function analyzeSearchIntent(
   const provider = getProviderByModel(model)
 
   if (!provider || isEmpty(provider.apiKey)) {
-    console.error('Provider not found or missing API key')
+    logger.error('Provider not found or missing API key')
     return getFallbackResult()
   }
   // console.log('formattedPrompt', schema)
@@ -198,9 +198,9 @@ async function storeConversationMemory(
         content: getMessageContent(msg) || ''
       }))
       .filter((msg) => msg.content.trim().length > 0)
-    console.log('conversationMessages', conversationMessages)
+    logger.debug('conversationMessages', conversationMessages)
     if (conversationMessages.length < 2) {
-      console.log('Need at least a user message and assistant response for memory processing')
+      logger.info('Need at least a user message and assistant response for memory processing')
       return
     }
 
@@ -214,26 +214,26 @@ async function storeConversationMemory(
       context.requestId
     )
 
-    console.log('Processing conversation memory...', { messageCount: conversationMessages.length })
+    logger.info('Processing conversation memory...', { messageCount: conversationMessages.length })
 
     // 后台处理对话记忆（不阻塞 UI）
     const memoryProcessor = new MemoryProcessor()
     memoryProcessor
       .processConversation(conversationMessages, processorConfig)
       .then((result) => {
-        console.log('Memory processing completed:', result)
+        logger.info('Memory processing completed:', result)
         if (result.facts?.length > 0) {
-          console.log('Extracted facts from conversation:', result.facts)
+          logger.info('Extracted facts from conversation:', result.facts)
-          console.log('Memory operations performed:', result.operations)
+          logger.info('Memory operations performed:', result.operations)
         } else {
-          console.log('No facts extracted from conversation')
+          logger.info('No facts extracted from conversation')
         }
       })
       .catch((error) => {
-        console.error('Background memory processing failed:', error)
+        logger.error('Background memory processing failed:', error as Error)
       })
   } catch (error) {
-    console.error('Error in conversation memory processing:', error)
+    logger.error('Error in conversation memory processing:', error as Error)
     // 不抛出错误，避免影响主流程
   }
 }
@@ -302,11 +302,11 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
 
           if (analysisResult) {
             intentAnalysisResults[context.requestId] = analysisResult
-            // console.log('🧠 [SearchOrchestration] Intent analysis completed:', analysisResult)
+            // logger.info('🧠 Intent analysis completed:', analysisResult)
           }
         }
       } catch (error) {
-        console.error('🧠 [SearchOrchestration] Intent analysis failed:', error)
+        logger.error('🧠 Intent analysis failed:', error as Error)
         // 不抛出错误，让流程继续
       }
     },
@@ -316,12 +316,12 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
      */
     transformParams: async (params: any, context: AiRequestContext) => {
       if (context.isAnalyzing) return params
-      // console.log('🔧 [SearchOrchestration] Configuring tools based on intent...', context.requestId)
+      // logger.info('🔧 Configuring tools based on intent...', context.requestId)
 
       try {
         const analysisResult = intentAnalysisResults[context.requestId]
         // if (!analysisResult || !assistant) {
-        //   console.log('🔧 [SearchOrchestration] No analysis result or assistant, skipping tool configuration')
+        //   logger.info('🔧 No analysis result or assistant, skipping tool configuration')
         //   return params
         // }
 
@@ -336,7 +336,7 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
 
           if (needsSearch) {
             // onChunk({ type: ChunkType.EXTERNEL_TOOL_IN_PROGRESS })
-            // console.log('🌐 [SearchOrchestration] Adding web search tool with pre-extracted keywords')
+            // logger.info('🌐 Adding web search tool with pre-extracted keywords')
             params.tools['builtin_web_search'] = webSearchToolWithPreExtractedKeywords(
               assistant.webSearchProviderId,
               analysisResult.websearch,
@@ -358,7 +358,7 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
               question: [getMessageContent(userMessage) || 'search'],
               rewrite: getMessageContent(userMessage) || 'search'
             }
-            // console.log('📚 [SearchOrchestration] Adding knowledge search tool (force mode)')
+            // logger.info('📚 Adding knowledge search tool (force mode)')
             params.tools['builtin_knowledge_search'] = knowledgeSearchTool(
               assistant,
               fallbackKeywords,
@@ -374,7 +374,7 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
               analysisResult.knowledge.question[0] !== 'not_needed'
 
             if (needsKnowledgeSearch && analysisResult.knowledge) {
-              // console.log('📚 [SearchOrchestration] Adding knowledge search tool (intent-based)')
+              // logger.info('📚 Adding knowledge search tool (intent-based)')
               const userMessage = userMessages[context.requestId]
               params.tools['builtin_knowledge_search'] = knowledgeSearchTool(
                 assistant,
@@ -389,14 +389,14 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
         // 🧠 记忆搜索工具配置
         const globalMemoryEnabled = selectGlobalMemoryEnabled(store.getState())
         if (globalMemoryEnabled && assistant.enableMemory) {
-          // console.log('🧠 [SearchOrchestration] Adding memory search tool')
+          // logger.info('🧠 Adding memory search tool')
           params.tools['builtin_memory_search'] = memorySearchTool()
         }
 
-        // console.log('🔧 [SearchOrchestration] Tools configured:', Object.keys(params.tools))
+        // logger.info('🔧 Tools configured:', Object.keys(params.tools))
         return params
       } catch (error) {
-        console.error('🔧 [SearchOrchestration] Tool configuration failed:', error)
+        logger.error('🔧 Tool configuration failed:', error as Error)
         return params
       }
     },
@@ -407,8 +407,8 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
 
     onRequestEnd: async (context: AiRequestContext) => {
       // context.isAnalyzing = false
-      // console.log('context.isAnalyzing', context, result)
+      // logger.info('context.isAnalyzing', context, result)
-      // console.log('💾 [SearchOrchestration] Starting memory storage...', context.requestId)
+      // logger.info('💾 Starting memory storage...', context.requestId)
       if (context.isAnalyzing) return
       try {
         const messages = context.originalParams.messages
@@ -421,7 +421,7 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
         delete intentAnalysisResults[context.requestId]
         delete userMessages[context.requestId]
       } catch (error) {
-        console.error('💾 [SearchOrchestration] Memory storage failed:', error)
+        logger.error('💾 Memory storage failed:', error as Error)
         // 不抛出错误，避免影响主流程
       }
     }

src/renderer/src/services/WebSearchService.ts

@@ -150,7 +150,7 @@ class WebSearchService {
    */
   public getWebSearchProvider(providerId?: string): WebSearchProvider | undefined {
     const { providers } = this.getWebSearchState()
-    console.log('providers', providers)
+    logger.debug('providers', providers)
     const provider = providers.find((provider) => provider.id === providerId)
 
     return provider

src/renderer/src/services/messageStreaming/BlockManager.ts

@@ -105,7 +105,7 @@ export class BlockManager {
    * 处理块转换
    */
   async handleBlockTransition(newBlock: MessageBlock, newBlockType: MessageBlockType) {
-    console.log('handleBlockTransition', newBlock, newBlockType)
+    logger.debug('handleBlockTransition', { newBlock, newBlockType })
     this._lastBlockType = newBlockType
     this._activeBlockInfo = { id: newBlock.id, type: newBlockType } // 设置新的活跃块信息
 

src/renderer/src/services/messageStreaming/callbacks/toolCallbacks.ts

@@ -23,7 +23,7 @@ export const createToolCallbacks = (deps: ToolCallbacksDependencies) => {
 
   return {
     onToolCallPending: (toolResponse: MCPToolResponse) => {
-      console.log('onToolCallPending', toolResponse)
+      logger.debug('onToolCallPending', toolResponse)
 
       if (blockManager.hasInitialPlaceholder) {
         const changes = {