diff --git a/.cursor/mcp.json b/.cursor/mcp.json
new file mode 100644
index 0000000..eca4385
--- /dev/null
+++ b/.cursor/mcp.json
@@ -0,0 +1,34 @@
+{
+  "mcpServers": {
+    "clickhouse-mcp": {
+      "command": "uv",
+      "args": [
+        "run",
+        "--with",
+        "mcp-clickhouse",
+        "--python",
+        "3.13",
+        "mcp-clickhouse"
+      ],
+      "env": {
+        "CLICKHOUSE_HOST": "localhost",
+        "CLICKHOUSE_PORT": "8123",
+        "CLICKHOUSE_USER": "admin",
+        "CLICKHOUSE_PASSWORD": "your_secure_password",
+        "CLICKHOUSE_DATABASE": "promote",
+        "CLICKHOUSE_SECURE": "false",
+        "CLICKHOUSE_VERIFY": "false",
+        "CLICKHOUSE_CONNECT_TIMEOUT": "120",
+        "CLICKHOUSE_SEND_RECEIVE_TIMEOUT": "120"
+      }
+    },
+    "supabase": {
+      "command": "npx",
+      "args": [
+        "-y",
+        "@modelcontextprotocol/server-postgres",
+        "postgresql://postgres.xtqhluzornazlmkonucr:KR$kH9fdwZAd@tdS@aws-0-ap-southeast-1.pooler.supabase.com:5432/postgres"
+      ]
+    }
+  }
+}
\ No newline at end of file
diff --git a/.env b/.env
new file mode 100644
index 0000000..45d191c
--- /dev/null
+++ b/.env
@@ -0,0 +1,8 @@
+CLICKHOUSE_HOST=localhost
+CLICKHOUSE_PORT=8123
+CLICKHOUSE_USER=admin
+CLICKHOUSE_PASSWORD=your_secure_password
+CLICKHOUSE_SECURE=true
+CLICKHOUSE_VERIFY=true
+CLICKHOUSE_CONNECT_TIMEOUT=30
+CLICKHOUSE_SEND_RECEIVE_TIMEOUT=30
\ No newline at end of file
diff --git a/ATTENTION.md b/ATTENTION.md
new file mode 100644
index 0000000..847c07c
--- /dev/null
+++ b/ATTENTION.md
@@ -0,0 +1,81 @@
+# ClickHouse使用注意事项
+
+## 数据插入最佳实践
+
+### 1. 利用ClickHouse的默认值机制
+
+在向ClickHouse插入数据时，对于有默认值的字段（如`event_id`、`timestamp`、`date`、`hour`等），可以不用显式提供这些值，让ClickHouse自动生成。这样可以：
+- 简化代码
+- 避免格式错误
+- 确保数据一致性
+
+示例：
+
+```typescript
+// 推荐做法：不指定有默认值的字段
+await clickhouse.insert({
+  table: 'events',
+  values: [{
+    // event_id, timestamp, date, hour 自动由ClickHouse生成
+    user_id: 'test-user-123',
+    influencer_id: 'influencer-456',
+    // 其他必要字段...
+  }],
+  format: 'JSONEachRow'
+});
+```
+
+### 2. 避免JSON格式问题
+
+使用`JSONEachRow`格式时，可能会遇到时间戳等特殊格式字段的解析错误：
+
+```
+Cannot parse input: expected '"' before: '.749Z","date":"2025-03-12",...
+```
+
+解决方法：
+- 让ClickHouse使用默认值自动生成时间相关字段
+- 如必须手动指定，确保格式严格符合ClickHouse要求
+
+### 3. 使用正确的方法
+
+ClickHouse客户端库(@clickhouse/client)提供了多种插入数据的方法：
+
+- **insert方法**：最适合结构化数据
+  ```typescript
+  await clickhouse.insert({
+    table: 'table_name',
+    values: [{ field1: value1, field2: value2 }],
+    format: 'JSONEachRow'
+  });
+  ```
+
+- **query方法**：适合原始SQL语句
+  ```typescript
+  await clickhouse.query({
+    query: `INSERT INTO table_name (field1, field2) VALUES (?, ?)`,
+    values: [[value1, value2]]
+  });
+  ```
+
+### 4. Enum类型字段
+
+对于Enum类型字段（如`event_type`、`funnel_stage`等），插入时使用定义的枚举字符串值，ClickHouse会自动转换为内部数字表示：
+
+```typescript
+// 正确：使用枚举字符串值
+event_type: 'comment',
+funnel_stage: 'consideration',
+```
+
+## 常见错误处理
+
+1. **JSON格式错误**：通常与时间戳和日期字段有关，尽可能使用ClickHouse默认值
+2. **枚举值错误**：确保使用表定义中的精确枚举字符串
+3. **数据类型不匹配**：检查每个字段的类型是否与表定义匹配
+
+## 性能考虑
+
+1. 批量插入比单条插入更高效
+2. 对于大批量数据，考虑使用流式插入
+3. 高频小数据量插入，考虑使用异步插入方法
diff --git a/backend/db/sql/clickhouse/sync_logs.sql b/backend/db/sql/clickhouse/sync_logs.sql
index 45e065b..19e3a0a 100644
--- a/backend/db/sql/clickhouse/sync_logs.sql
+++ b/backend/db/sql/clickhouse/sync_logs.sql
@@ -1,5 +1,7 @@
+DROP TABLE IF EXISTS promote.sync_logs;
+
 CREATE TABLE IF NOT EXISTS promote.sync_logs (
-  timestamp DateTime,
+  timestamp DateTime DEFAULT now(),
   duration_ms UInt64,
   posts_synced UInt32,
   comments_synced UInt32,
diff --git a/backend/src/services/syncService.ts b/backend/src/services/syncService.ts
index dd3fa30..024796e 100644
--- a/backend/src/services/syncService.ts
+++ b/backend/src/services/syncService.ts
@@ -1,8 +1,16 @@
-import { randomUUID } from 'crypto';
+import { Client } from 'pg';
 import clickhouse from '../utils/clickhouse';
+import { randomUUID } from 'crypto';
+
+// 数据库连接信息
+const PG_CONNECTION_STRING = process.env.DATABASE_URL || '';
 
 /**
- * 简单的同步函数，只插入一条测试数据到ClickHouse
+ * 从PostgreSQL数据库同步数据到ClickHouse
+ * 同步三种事件类型：
+ * 1. 新增Posts
+ * 2. 新增Comments
+ * 3. Influencer变化
  */
 export async function syncAllData(fromTimestamp: string): Promise<{
   success: boolean;
@@ -15,53 +23,413 @@ export async function syncAllData(fromTimestamp: string): Promise<{
 }> {
   console.log(`开始同步数据，时间范围: ${fromTimestamp} - 现在`);
   const errors: string[] = [];
+  const startTime = Date.now();
+  
+  // 创建PostgreSQL客户端
+  const pgClient = new Client({
+    connectionString: PG_CONNECTION_STRING
+  });
   
   try {
-    // 使用insert方法并仅提供必要字段，让ClickHouse为其他字段使用默认值
-    await clickhouse.insert({
-      table: 'events',
-      values: [{
-        // 让ClickHouse自动生成event_id、timestamp、date和hour
-        user_id: 'test-user-123',
-        influencer_id: 'influencer-456',
-        content_id: 'content-789',
-        project_id: 'project-abc',
-        event_type: 'comment',
-        funnel_stage: 'consideration',
-        platform: 'instagram',
-        content_type: 'text',
-        content_status: 'approved',
-        sentiment: 'positive',
-        comment_text: '测试数据 - ClickHouse同步测试'
-      }],
-      format: 'JSONEachRow' // 使用JSONEachRow格式
-    });
+    // 连接到PostgreSQL
+    await pgClient.connect();
+    console.log('PostgreSQL连接成功');
     
-    console.log('数据插入成功');
+    // 同步各类数据
+    const postsCount = await syncPosts(pgClient, fromTimestamp);
+    const commentsCount = await syncComments(pgClient, fromTimestamp);
+    const influencerChangesCount = await syncInfluencerChanges(pgClient, fromTimestamp);
+    const projectsCount = await syncProjects(pgClient, fromTimestamp);
     
-    // 只计算了一条评论
-    const comments = 1;
+    // 关闭PostgreSQL连接
+    await pgClient.end();
+    
+    const duration = (Date.now() - startTime) / 1000;
+    
+    // 记录同步日志到ClickHouse
+    await logSyncResults(duration, postsCount, commentsCount, influencerChangesCount, projectsCount, errors.length === 0, errors);
     
     return {
-      success: true,
-      message: '测试数据插入成功',
-      comments,
-      posts: 0,
-      influencer_changes: 0,
-      projects: 0,
+      success: errors.length === 0,
+      message: errors.length === 0 ? '同步成功' : '同步过程中有错误',
+      posts: postsCount,
+      comments: commentsCount,
+      influencer_changes: influencerChangesCount,
+      projects: projectsCount,
       errors
     };
   } catch (err: any) {
-    console.error('数据插入失败:', err.message);
+    console.error('同步过程中发生错误:', err.message);
     errors.push(err.message);
+    
+    // 确保关闭PostgreSQL连接
+    try {
+      await pgClient.end();
+    } catch (e) {
+      console.error('关闭PostgreSQL连接失败:', e);
+    }
+    
     return {
       success: false,
-      message: `插入失败: ${err.message}`,
-      comments: 0,
+      message: `同步失败: ${err.message}`,
       posts: 0,
+      comments: 0,
       influencer_changes: 0,
       projects: 0,
       errors
     };
   }
 }
+
+/**
+ * 同步Posts数据
+ */
+async function syncPosts(pgClient: Client, fromTimestamp: string): Promise<number> {
+  console.log('开始同步Posts数据...');
+  let count = 0;
+  
+  try {
+    // 查询在指定时间范围内新增的posts
+    const query = `
+      SELECT 
+        p.post_id, 
+        p.influencer_id,
+        p.platform,
+        p.project_id,
+        p.title,
+        p.description,
+        p.published_at,
+        p.created_at
+      FROM 
+        posts p
+      WHERE 
+        p.created_at >= $1
+      ORDER BY 
+        p.created_at ASC
+    `;
+    
+    const result = await pgClient.query(query, [fromTimestamp]);
+    const posts = result.rows;
+    
+    if (posts.length === 0) {
+      console.log('没有新的Posts数据需要同步');
+      return 0;
+    }
+    
+    // 将每个post作为一个事件插入到ClickHouse
+    const values = posts.map(post => ({
+      user_id: 'system',
+      influencer_id: post.influencer_id,
+      content_id: post.post_id,
+      project_id: post.project_id || '',
+      event_type: 'impression', // 新帖子作为一个曝光事件
+      funnel_stage: 'exposure',
+      platform: post.platform || 'unknown',
+      content_type: 'video', // 默认类型，可根据实际情况调整
+      content_status: 'approved',
+      sentiment: 'neutral',
+      comment_text: post.title || post.description || '',
+      interaction_value: 1.0,
+      recorded_by: 'system'
+    }));
+    
+    if (values.length > 0) {
+      // 批量插入事件
+      await clickhouse.insert({
+        table: 'events',
+        values,
+        format: 'JSONEachRow'
+      });
+      
+      count = values.length;
+      console.log(`成功同步 ${count} 条新增Posts数据`);
+    }
+    
+    return count;
+  } catch (error: any) {
+    console.error('同步Posts数据失败:', error.message);
+    throw error;
+  }
+}
+
+/**
+ * 同步Comments数据
+ */
+async function syncComments(pgClient: Client, fromTimestamp: string): Promise<number> {
+  console.log('开始同步Comments数据...');
+  let count = 0;
+  
+  try {
+    // 查询在指定时间范围内新增的comments
+    const query = `
+      SELECT 
+        c.comment_id, 
+        c.post_id,
+        c.user_id,
+        c.content,
+        c.sentiment_score,
+        c.created_at,
+        p.influencer_id,
+        p.project_id,
+        p.platform
+      FROM 
+        comments c
+      LEFT JOIN
+        posts p ON c.post_id = p.post_id
+      WHERE 
+        c.created_at >= $1
+      ORDER BY 
+        c.created_at ASC
+    `;
+    
+    const result = await pgClient.query(query, [fromTimestamp]);
+    const comments = result.rows;
+    
+    if (comments.length === 0) {
+      console.log('没有新的Comments数据需要同步');
+      return 0;
+    }
+    
+    // 将每个comment作为一个事件插入到ClickHouse
+    const values = comments.map(comment => {
+      // 根据情感分数确定情感
+      let sentiment = 'neutral';
+      if (comment.sentiment_score > 0.5) {
+        sentiment = 'positive';
+      } else if (comment.sentiment_score < -0.5) {
+        sentiment = 'negative';
+      }
+      
+      return {
+        user_id: comment.user_id || 'anonymous',
+        influencer_id: comment.influencer_id || '',
+        content_id: comment.post_id || '',
+        project_id: comment.project_id || '',
+        event_type: 'comment',
+        funnel_stage: 'consideration', // 评论通常表示用户在考虑阶段
+        platform: comment.platform || 'unknown',
+        content_type: 'text',
+        content_status: 'approved',
+        sentiment,
+        comment_text: comment.content || '',
+        interaction_value: 3.0, // 评论价值较高
+        recorded_by: 'system'
+      };
+    });
+    
+    if (values.length > 0) {
+      // 批量插入事件
+      await clickhouse.insert({
+        table: 'events',
+        values,
+        format: 'JSONEachRow'
+      });
+      
+      count = values.length;
+      console.log(`成功同步 ${count} 条新增Comments数据`);
+    }
+    
+    return count;
+  } catch (error: any) {
+    console.error('同步Comments数据失败:', error.message);
+    throw error;
+  }
+}
+
+/**
+ * 同步Influencer变化数据
+ */
+async function syncInfluencerChanges(pgClient: Client, fromTimestamp: string): Promise<number> {
+  console.log('开始同步Influencer变化数据...');
+  let count = 0;
+  
+  try {
+    // 查询在指定时间范围内更新的influencers
+    const query = `
+      SELECT 
+        i.influencer_id, 
+        i.name,
+        i.platform,
+        i.followers_count,
+        i.video_count,
+        i.updated_at
+      FROM 
+        influencers i
+      WHERE 
+        i.updated_at >= $1
+      ORDER BY 
+        i.updated_at ASC
+    `;
+    
+    const result = await pgClient.query(query, [fromTimestamp]);
+    const influencers = result.rows;
+    
+    if (influencers.length === 0) {
+      console.log('没有Influencer变化数据需要同步');
+      return 0;
+    }
+    
+    // 将每个influencer的变化作为一个事件插入到ClickHouse
+    const values = influencers.map(influencer => ({
+      user_id: 'system',
+      influencer_id: influencer.influencer_id,
+      content_id: '',
+      project_id: '',
+      event_type: 'follow', // KOL的粉丝变化
+      funnel_stage: 'interest',
+      platform: influencer.platform || 'unknown',
+      content_type: 'text',
+      content_status: 'approved',
+      sentiment: 'neutral',
+      comment_text: '',
+      followers_count: influencer.followers_count || 0,
+      followers_change: 0, // 这里可以通过查询历史记录计算变化值
+      interaction_value: 1.0,
+      recorded_by: 'system'
+    }));
+    
+    if (values.length > 0) {
+      // 批量插入事件
+      await clickhouse.insert({
+        table: 'events',
+        values,
+        format: 'JSONEachRow'
+      });
+      
+      count = values.length;
+      console.log(`成功同步 ${count} 条Influencer变化数据`);
+    }
+    
+    return count;
+  } catch (error: any) {
+    console.error('同步Influencer变化数据失败:', error.message);
+    throw error;
+  }
+}
+
+/**
+ * 同步Projects数据
+ */
+async function syncProjects(pgClient: Client, fromTimestamp: string): Promise<number> {
+  console.log('开始同步Projects数据...');
+  let count = 0;
+  
+  try {
+    // 查询在指定时间范围内新增的projects
+    const query = `
+      SELECT 
+        p.id, 
+        p.name,
+        p.description,
+        p.created_by,
+        p.created_at
+      FROM 
+        projects p
+      WHERE 
+        p.created_at >= $1
+      ORDER BY 
+        p.created_at ASC
+    `;
+    
+    const result = await pgClient.query(query, [fromTimestamp]);
+    const projects = result.rows;
+    
+    if (projects.length === 0) {
+      console.log('没有新的Projects数据需要同步');
+      return 0;
+    }
+    
+    // 将每个project作为一个事件插入到ClickHouse
+    const values = projects.map(project => ({
+      user_id: project.created_by || 'system',
+      influencer_id: '',
+      content_id: '',
+      project_id: project.id,
+      event_type: 'impression',
+      funnel_stage: 'exposure',
+      platform: 'internal',
+      content_type: 'text',
+      content_status: 'approved',
+      sentiment: 'neutral',
+      comment_text: project.name || '',
+      interaction_value: 1.0,
+      recorded_by: 'system'
+    }));
+    
+    if (values.length > 0) {
+      // 批量插入事件
+      await clickhouse.insert({
+        table: 'events',
+        values,
+        format: 'JSONEachRow'
+      });
+      
+      count = values.length;
+      console.log(`成功同步 ${count} 条新增Projects数据`);
+    }
+    
+    return count;
+  } catch (error: any) {
+    console.error('同步Projects数据失败:', error.message);
+    throw error;
+  }
+}
+
+/**
+ * 记录同步结果到ClickHouse的sync_logs表
+ */
+async function logSyncResults(
+  duration: number,
+  postsCount: number,
+  commentsCount: number,
+  influencerChangesCount: number,
+  projectsCount: number,
+  success: boolean,
+  errors: string[]
+): Promise<void> {
+  try {
+    // 使用insert方法插入数据，timestamp字段由ClickHouse自动生成
+    await clickhouse.insert({
+      table: 'sync_logs',
+      values: [{
+        // 不提供timestamp字段，由ClickHouse的DEFAULT now()自动生成
+        duration_ms: Math.round(duration * 1000),
+        posts_synced: postsCount,
+        comments_synced: commentsCount,
+        influencer_changes_synced: influencerChangesCount,
+        projects_synced: projectsCount,
+        success: success ? 1 : 0,
+        error_messages: errors.join('; ')
+      }],
+      format: 'JSONEachRow'
+    });
+    
+    console.log('同步日志记录成功');
+  } catch (error: any) {
+    console.error('记录同步日志失败:', error.message);
+  }
+}
+
+/**
+ * 创建定时同步任务的函数
+ * 可以被调度系统调用，比如使用node-cron
+ */
+export async function scheduledSync(): Promise<void> {
+  try {
+    // 获取上次同步时间，如果没有则使用24小时前
+    const lastDay = new Date();
+    lastDay.setDate(lastDay.getDate() - 1);
+    const fromTimestamp = lastDay.toISOString();
+    
+    console.log(`执行计划同步任务，同步时间范围: ${fromTimestamp} - 现在`);
+    const result = await syncAllData(fromTimestamp);
+    
+    if (result.success) {
+      console.log(`计划同步任务成功完成，已同步: 帖子(${result.posts}), 评论(${result.comments}), KOL变化(${result.influencer_changes}), 项目(${result.projects})`);
+    } else {
+      console.error(`计划同步任务有错误:`, result.errors);
+    }
+  } catch (error: any) {
+    console.error('计划同步任务失败:', error.message);
+  }
+}
diff --git a/backend/src/utils/scheduledTasks.ts b/backend/src/utils/scheduledTasks.ts
index f624e97..b2d3ba9 100644
--- a/backend/src/utils/scheduledTasks.ts
+++ b/backend/src/utils/scheduledTasks.ts
@@ -459,11 +459,7 @@ export const scheduleDatabaseSync = async (
  * Syncs data from PostgreSQL to ClickHouse
  * @param lastSyncTimestamp The timestamp of the last sync
  */
-async function syncPostgresToClickhouse(lastSyncTimestamp?: string): Promise<{
-  posts: number;
-  comments: number;
-  influencerChanges: number;
-}> {
+async function syncPostgresToClickhouse(lastSyncTimestamp?: string): Promise<any> {
   console.log(`Starting PostgreSQL to ClickHouse sync from timestamp: ${lastSyncTimestamp}`);
   
   // If no last sync timestamp provided, use a timestamp from 1 hour ago
@@ -474,12 +470,28 @@ async function syncPostgresToClickhouse(lastSyncTimestamp?: string): Promise<{
   }
   
   try {
-    // Sync all data
+    // Use the enhanced syncAllData function from syncService
     const result = await syncAllData(lastSyncTimestamp);
     
-    console.log('PostgreSQL to ClickHouse sync completed:', result);
+    console.log('PostgreSQL to ClickHouse sync completed:', {
+      success: result.success,
+      posts: result.posts,
+      comments: result.comments,
+      influencer_changes: result.influencer_changes,
+      projects: result.projects,
+      errors: result.errors.length > 0 ? result.errors : 'None'
+    });
     
-    return result;
+    if (!result.success) {
+      throw new Error(`Sync failed with errors: ${result.errors.join('; ')}`);
+    }
+    
+    return {
+      posts: result.posts || 0,
+      comments: result.comments || 0,
+      influencerChanges: result.influencer_changes || 0,
+      projects: result.projects || 0
+    };
   } catch (error) {
     console.error('Error in PostgreSQL to ClickHouse sync:', error);
     throw error;
diff --git a/backend/src/utils/scheduler.ts b/backend/src/utils/scheduler.ts
new file mode 100644
index 0000000..e99586d
--- /dev/null
+++ b/backend/src/utils/scheduler.ts
@@ -0,0 +1,52 @@
+/**
+ * 任务调度器，用于定期执行数据同步任务
+ */
+
+import { scheduledSync } from '../services/syncService';
+
+// 定义任务间隔时间（毫秒）
+const SYNC_INTERVAL = 1000 * 60 * 60 * 6; // 每6小时同步一次
+
+let syncIntervalId: NodeJS.Timeout | null = null;
+
+/**
+ * 启动定时同步任务
+ */
+export function startScheduledTasks() {
+  // 停止现有任务（如果有）
+  stopScheduledTasks();
+  
+  console.log('启动数据同步定时任务，间隔时间：', SYNC_INTERVAL / (1000 * 60 * 60), '小时');
+  
+  // 立即执行一次同步
+  console.log('执行初始数据同步...');
+  scheduledSync().catch(err => {
+    console.error('初始同步任务失败:', err);
+  });
+  
+  // 设置定时执行
+  syncIntervalId = setInterval(() => {
+    console.log('执行定时数据同步任务...');
+    scheduledSync().catch(err => {
+      console.error('定时同步任务失败:', err);
+    });
+  }, SYNC_INTERVAL);
+  
+  console.log('数据同步定时任务已启动');
+}
+
+/**
+ * 停止定时同步任务
+ */
+export function stopScheduledTasks() {
+  if (syncIntervalId) {
+    clearInterval(syncIntervalId);
+    syncIntervalId = null;
+    console.log('数据同步定时任务已停止');
+  }
+}
+
+// 导出任务状态检查函数
+export function isSchedulerRunning(): boolean {
+  return syncIntervalId !== null;
+} 
\ No newline at end of file