575 lines
21 KiB
TypeScript
575 lines
21 KiB
TypeScript
// 从MongoDB的trace表同步数据到ClickHouse的link_events表
|
||
import { MongoClient, ObjectId } from 'mongodb';
|
||
import fs from 'fs';
|
||
import path from 'path';
|
||
|
||
// 硬编码配置信息
|
||
const mongoConfig = {
|
||
host: "10.0.1.10",
|
||
port: "27017",
|
||
db: "main",
|
||
username: "",
|
||
password: ""
|
||
};
|
||
|
||
const clickhouseConfig = {
|
||
clickhouse_host: "10.0.1.60",
|
||
clickhouse_port: 8123,
|
||
clickhouse_user: "admin",
|
||
clickhouse_password: "your_secure_password",
|
||
clickhouse_database: "limq",
|
||
clickhouse_url: "http://10.0.1.60:8123"
|
||
};
|
||
|
||
// 状态文件存储路径
|
||
const STATE_FILE_PATH = path.join(__dirname, 'shorturl_event_sync_state.json');
|
||
|
||
interface TraceRecord {
|
||
_id: ObjectId;
|
||
slugId: ObjectId;
|
||
label: string | null;
|
||
ip: string;
|
||
type: number;
|
||
platform: string;
|
||
platformOS: string;
|
||
browser: string;
|
||
browserVersion: string;
|
||
url: string;
|
||
createTime: number;
|
||
}
|
||
|
||
interface SyncState {
|
||
last_sync_time: number;
|
||
records_synced: number;
|
||
last_sync_id?: string;
|
||
}
|
||
|
||
// 替代 Windmill 的变量存储函数
|
||
async function getVariable(key: string): Promise<string> {
|
||
if (key === "f/shorturl_analytics/clickhouse/shorturl_sync_state") {
|
||
try {
|
||
if (fs.existsSync(STATE_FILE_PATH)) {
|
||
return fs.readFileSync(STATE_FILE_PATH, 'utf8');
|
||
}
|
||
} catch (error) {
|
||
console.error("读取状态文件失败:", error);
|
||
}
|
||
return JSON.stringify({
|
||
last_sync_time: 0,
|
||
records_synced: 0
|
||
});
|
||
}
|
||
|
||
throw new Error(`未知的变量键: ${key}`);
|
||
}
|
||
|
||
// 替代 Windmill 的变量设置函数
|
||
async function setVariable(key: string, value: string): Promise<void> {
|
||
if (key === "f/shorturl_analytics/clickhouse/shorturl_sync_state") {
|
||
try {
|
||
fs.writeFileSync(STATE_FILE_PATH, value, 'utf8');
|
||
} catch (error) {
|
||
console.error("保存状态文件失败:", error);
|
||
throw error;
|
||
}
|
||
} else {
|
||
throw new Error(`未知的变量键: ${key}`);
|
||
}
|
||
}
|
||
|
||
export async function main(
|
||
batch_size = 1000,
|
||
initial_sync = false,
|
||
max_records = 9999999,
|
||
timeout_minutes = 60,
|
||
skip_clickhouse_check = false,
|
||
force_insert = false
|
||
) {
|
||
const logWithTimestamp = (message: string) => {
|
||
const now = new Date();
|
||
console.log(`[${now.toISOString()}] ${message}`);
|
||
};
|
||
|
||
logWithTimestamp("开始执行MongoDB到ClickHouse的同步任务");
|
||
logWithTimestamp(`批处理大小: ${batch_size}, 最大记录数: ${max_records}, 超时时间: ${timeout_minutes}分钟`);
|
||
if (skip_clickhouse_check) {
|
||
logWithTimestamp("⚠️ 警告: 已启用跳过ClickHouse检查模式，不会检查记录是否已存在");
|
||
}
|
||
if (force_insert) {
|
||
logWithTimestamp("⚠️ 警告: 已启用强制插入模式，将尝试插入所有记录");
|
||
}
|
||
|
||
// 设置超时
|
||
const startTime = Date.now();
|
||
const timeoutMs = timeout_minutes * 60 * 1000;
|
||
|
||
// 检查是否超时
|
||
const checkTimeout = () => {
|
||
if (Date.now() - startTime > timeoutMs) {
|
||
console.log(`运行时间超过${timeout_minutes}分钟，暂停执行`);
|
||
return true;
|
||
}
|
||
return false;
|
||
};
|
||
|
||
console.log("MongoDB配置:", JSON.stringify(mongoConfig));
|
||
console.log("ClickHouse配置:", JSON.stringify(clickhouseConfig));
|
||
|
||
// 构建MongoDB连接URL
|
||
let mongoUrl = "mongodb://";
|
||
if (mongoConfig.username && mongoConfig.password) {
|
||
mongoUrl += `${mongoConfig.username}:${mongoConfig.password}@`;
|
||
}
|
||
mongoUrl += `${mongoConfig.host}:${mongoConfig.port}/${mongoConfig.db}`;
|
||
|
||
console.log(`MongoDB连接URL: ${mongoUrl.replace(/:[^:]*@/, ":****@")}`);
|
||
|
||
// 获取上次同步的状态
|
||
let syncState: SyncState;
|
||
try {
|
||
const rawSyncState = await getVariable("f/shorturl_analytics/clickhouse/shorturl_sync_state");
|
||
try {
|
||
syncState = JSON.parse(rawSyncState);
|
||
console.log(`获取同步状态成功: 上次同步时间 ${new Date(syncState.last_sync_time).toISOString()}`);
|
||
} catch (parseError) {
|
||
console.error("解析同步状态失败:", parseError);
|
||
throw parseError;
|
||
}
|
||
} catch (error) {
|
||
console.log("未找到同步状态，创建初始同步状态");
|
||
syncState = {
|
||
last_sync_time: 0,
|
||
records_synced: 0,
|
||
};
|
||
}
|
||
|
||
// 如果强制从头开始同步
|
||
if (initial_sync) {
|
||
console.log("强制从头开始同步");
|
||
syncState = {
|
||
last_sync_time: 0,
|
||
records_synced: 0,
|
||
};
|
||
}
|
||
|
||
// 连接MongoDB
|
||
const client = new MongoClient(mongoUrl);
|
||
try {
|
||
await client.connect();
|
||
console.log("MongoDB连接成功");
|
||
|
||
const db = client.db(mongoConfig.db);
|
||
const traceCollection = db.collection<TraceRecord>("trace");
|
||
|
||
// 构建查询条件，只查询新的记录
|
||
const query: Record<string, unknown> = {};
|
||
|
||
if (syncState.last_sync_time > 0) {
|
||
query.createTime = { $gt: syncState.last_sync_time };
|
||
}
|
||
|
||
if (syncState.last_sync_id) {
|
||
// 如果有上次同步的ID，则从该ID之后开始查询
|
||
// 注意：这需要MongoDB中createTime相同的记录按_id排序
|
||
query._id = { $gt: new ObjectId(syncState.last_sync_id) };
|
||
}
|
||
|
||
// 计算总记录数
|
||
const totalRecords = await traceCollection.countDocuments(query);
|
||
console.log(`找到 ${totalRecords} 条新记录需要同步`);
|
||
|
||
// 限制此次处理的记录数量
|
||
const recordsToProcess = Math.min(totalRecords, max_records);
|
||
console.log(`本次将处理 ${recordsToProcess} 条记录`);
|
||
|
||
if (totalRecords === 0) {
|
||
console.log("没有新记录需要同步，任务完成");
|
||
return {
|
||
success: true,
|
||
records_synced: 0,
|
||
total_synced: syncState.records_synced,
|
||
message: "没有新记录需要同步"
|
||
};
|
||
}
|
||
|
||
// 分批处理记录
|
||
let processedRecords = 0;
|
||
let lastId: string | undefined;
|
||
let lastCreateTime = syncState.last_sync_time;
|
||
let totalBatchRecords = 0;
|
||
|
||
// 检查ClickHouse连接状态
|
||
const checkClickHouseConnection = async (): Promise<boolean> => {
|
||
if (skip_clickhouse_check) {
|
||
logWithTimestamp("已启用跳过ClickHouse检查，不测试连接");
|
||
return true;
|
||
}
|
||
|
||
try {
|
||
logWithTimestamp("测试ClickHouse连接...");
|
||
const clickhouseUrl = `${clickhouseConfig.clickhouse_url}`;
|
||
const response = await fetch(clickhouseUrl, {
|
||
method: "POST",
|
||
headers: {
|
||
"Content-Type": "application/x-www-form-urlencoded",
|
||
"Authorization": `Basic ${Buffer.from(`${clickhouseConfig.clickhouse_user}:${clickhouseConfig.clickhouse_password}`).toString('base64')}`,
|
||
},
|
||
body: "SELECT 1",
|
||
// 设置5秒超时
|
||
signal: AbortSignal.timeout(5000)
|
||
});
|
||
|
||
if (response.ok) {
|
||
logWithTimestamp("ClickHouse连接测试成功");
|
||
return true;
|
||
} else {
|
||
const errorText = await response.text();
|
||
logWithTimestamp(`ClickHouse连接测试失败: ${response.status} ${errorText}`);
|
||
return false;
|
||
}
|
||
} catch (err) {
|
||
const error = err as Error;
|
||
logWithTimestamp(`ClickHouse连接测试失败: ${error.message}`);
|
||
return false;
|
||
}
|
||
};
|
||
|
||
// 检查记录是否已经存在于ClickHouse中
|
||
const checkExistingRecords = async (records: TraceRecord[]): Promise<TraceRecord[]> => {
|
||
if (records.length === 0) return [];
|
||
|
||
// 如果跳过ClickHouse检查或强制插入，则直接返回所有记录
|
||
if (skip_clickhouse_check || force_insert) {
|
||
logWithTimestamp(`已跳过ClickHouse重复检查，准备处理所有 ${records.length} 条记录`);
|
||
return records;
|
||
}
|
||
|
||
logWithTimestamp(`正在检查 ${records.length} 条记录是否已存在于ClickHouse中...`);
|
||
|
||
try {
|
||
// 提取所有记录的ID
|
||
const recordIds = records.map(record => record.slugId.toString()); // 使用slugId作为link_id查询
|
||
logWithTimestamp(`待检查的记录ID: ${recordIds.join(', ')}`);
|
||
|
||
// 构建查询SQL，检查记录是否已存在，确保添加FORMAT JSON来获取正确的JSON格式响应
|
||
const query = `
|
||
SELECT link_id
|
||
FROM ${clickhouseConfig.clickhouse_database}.link_events
|
||
WHERE link_id IN ('${recordIds.join("','")}')
|
||
FORMAT JSON
|
||
`;
|
||
|
||
logWithTimestamp(`执行ClickHouse查询: ${query.replace(/\n\s*/g, ' ')}`);
|
||
|
||
// 发送请求到ClickHouse，添加10秒超时
|
||
const clickhouseUrl = `${clickhouseConfig.clickhouse_url}`;
|
||
const response = await fetch(clickhouseUrl, {
|
||
method: "POST",
|
||
headers: {
|
||
"Content-Type": "application/x-www-form-urlencoded",
|
||
"Authorization": `Basic ${Buffer.from(`${clickhouseConfig.clickhouse_user}:${clickhouseConfig.clickhouse_password}`).toString('base64')}`
|
||
},
|
||
body: query,
|
||
signal: AbortSignal.timeout(10000)
|
||
});
|
||
|
||
if (!response.ok) {
|
||
const errorText = await response.text();
|
||
throw new Error(`ClickHouse查询错误: ${response.status} ${errorText}`);
|
||
}
|
||
|
||
// 获取响应文本以便记录
|
||
const responseText = await response.text();
|
||
logWithTimestamp(`ClickHouse查询响应: ${responseText.slice(0, 200)}${responseText.length > 200 ? '...' : ''}`);
|
||
|
||
if (!responseText.trim()) {
|
||
logWithTimestamp("ClickHouse返回空响应，假定没有记录存在");
|
||
return records; // 如果响应为空，假设没有记录
|
||
}
|
||
|
||
// 解析结果
|
||
let result;
|
||
try {
|
||
result = JSON.parse(responseText);
|
||
} catch (err) {
|
||
logWithTimestamp(`ClickHouse响应不是有效的JSON: ${responseText}`);
|
||
throw new Error(`解析ClickHouse响应失败: ${(err as Error).message}`);
|
||
}
|
||
|
||
// 确保result有正确的结构
|
||
if (!result.data) {
|
||
logWithTimestamp(`ClickHouse响应缺少data字段: ${JSON.stringify(result)}`);
|
||
return records; // 如果没有data字段，假设没有记录
|
||
}
|
||
|
||
// 提取已存在的记录ID
|
||
const existingIds = new Set(result.data.map((row: { link_id: string }) => row.link_id));
|
||
|
||
logWithTimestamp(`检测到 ${existingIds.size} 条记录已存在于ClickHouse中`);
|
||
if (existingIds.size > 0) {
|
||
logWithTimestamp(`已存在的记录ID: ${Array.from(existingIds).join(', ')}`);
|
||
}
|
||
|
||
// 过滤出不存在的记录
|
||
const newRecords = records.filter(record => !existingIds.has(record.slugId.toString())); // 使用slugId匹配link_id
|
||
logWithTimestamp(`过滤后剩余 ${newRecords.length} 条新记录需要插入`);
|
||
|
||
return newRecords;
|
||
} catch (err) {
|
||
const error = err as Error;
|
||
logWithTimestamp(`ClickHouse查询出错: ${error.message}`);
|
||
if (skip_clickhouse_check) {
|
||
logWithTimestamp("已启用跳过ClickHouse检查，将继续处理所有记录");
|
||
return records;
|
||
} else {
|
||
throw error; // 如果没有启用跳过检查，则抛出错误
|
||
}
|
||
}
|
||
};
|
||
|
||
// 在处理记录前先检查ClickHouse连接
|
||
const clickhouseConnected = await checkClickHouseConnection();
|
||
if (!clickhouseConnected && !skip_clickhouse_check) {
|
||
logWithTimestamp("⚠️ ClickHouse连接测试失败，请启用skip_clickhouse_check=true参数来跳过连接检查");
|
||
throw new Error("ClickHouse连接失败，无法继续同步");
|
||
}
|
||
|
||
// 处理记录的函数
|
||
const processRecords = async (records: TraceRecord[]) => {
|
||
if (records.length === 0) return 0;
|
||
|
||
logWithTimestamp(`开始处理批次数据，共 ${records.length} 条记录...`);
|
||
|
||
// 检查记录是否已存在
|
||
let newRecords;
|
||
try {
|
||
newRecords = await checkExistingRecords(records);
|
||
} catch (err) {
|
||
const error = err as Error;
|
||
logWithTimestamp(`检查记录是否存在时出错: ${error.message}`);
|
||
if (!skip_clickhouse_check && !force_insert) {
|
||
throw error;
|
||
}
|
||
// 如果跳过检查或强制插入，则使用所有记录
|
||
logWithTimestamp("将使用所有记录进行处理");
|
||
newRecords = records;
|
||
}
|
||
|
||
if (newRecords.length === 0) {
|
||
logWithTimestamp("所有记录都已存在，跳过处理");
|
||
// 更新同步状态，即使没有新增记录
|
||
const lastRecord = records[records.length - 1];
|
||
lastId = lastRecord._id.toString();
|
||
lastCreateTime = lastRecord.createTime;
|
||
return 0;
|
||
}
|
||
|
||
logWithTimestamp(`准备处理 ${newRecords.length} 条新记录...`);
|
||
|
||
// 准备ClickHouse插入数据
|
||
const clickhouseData = newRecords.map(record => {
|
||
// 转换MongoDB记录为ClickHouse格式，匹配ClickHouse表结构
|
||
return {
|
||
// UUID将由ClickHouse自动生成 (event_id)
|
||
link_id: record.slugId.toString(),
|
||
channel_id: record.label || "",
|
||
visitor_id: record._id.toString(), // 使用MongoDB ID作为访客ID
|
||
session_id: record._id.toString() + "-" + record.createTime, // 创建一个唯一会话ID
|
||
event_type: record.type <= 4 ? record.type : 1, // 确保event_type在枚举范围内
|
||
ip_address: record.ip,
|
||
country: "", // 这些字段在MongoDB中不存在，使用默认值
|
||
city: "",
|
||
referrer: record.url || "",
|
||
utm_source: "",
|
||
utm_medium: "",
|
||
utm_campaign: "",
|
||
user_agent: record.browser + " " + record.browserVersion,
|
||
device_type: record.platform === "mobile" ? 1 : (record.platform === "tablet" ? 2 : 3),
|
||
browser: record.browser || "",
|
||
os: record.platformOS || "",
|
||
time_spent_sec: 0,
|
||
is_bounce: true,
|
||
is_qr_scan: false,
|
||
qr_code_id: "",
|
||
conversion_type: 1, // 默认为'visit'
|
||
conversion_value: 0,
|
||
custom_data: `{"mongo_id":"${record._id.toString()}"}`
|
||
};
|
||
});
|
||
|
||
// 更新同步状态（使用原始records的最后一条，以确保进度正确）
|
||
const lastRecord = records[records.length - 1];
|
||
lastId = lastRecord._id.toString();
|
||
lastCreateTime = lastRecord.createTime;
|
||
logWithTimestamp(`更新同步位置到: ID=${lastId}, 时间=${new Date(lastCreateTime).toISOString()}`);
|
||
|
||
// 生成ClickHouse插入SQL
|
||
const insertSQL = `
|
||
INSERT INTO ${clickhouseConfig.clickhouse_database}.link_events
|
||
(link_id, channel_id, visitor_id, session_id, event_type, ip_address, country, city,
|
||
referrer, utm_source, utm_medium, utm_campaign, user_agent, device_type, browser, os,
|
||
time_spent_sec, is_bounce, is_qr_scan, qr_code_id, conversion_type, conversion_value, custom_data)
|
||
VALUES ${clickhouseData.map(record =>
|
||
`('${record.link_id}', '${record.channel_id.replace(/'/g, "''")}', '${record.visitor_id}', '${record.session_id}',
|
||
${record.event_type}, '${record.ip_address}', '', '',
|
||
'${record.referrer.replace(/'/g, "''")}', '', '', '', '${record.user_agent.replace(/'/g, "''")}', ${record.device_type},
|
||
'${record.browser.replace(/'/g, "''")}', '${record.os.replace(/'/g, "''")}',
|
||
0, true, false, '', 1, 0, '${record.custom_data}')`
|
||
).join(", ")}
|
||
`;
|
||
|
||
if (insertSQL.length === 0) {
|
||
console.log("没有新记录需要插入");
|
||
return 0;
|
||
}
|
||
|
||
// 发送请求到ClickHouse，添加20秒超时
|
||
const clickhouseUrl = `${clickhouseConfig.clickhouse_url}`;
|
||
try {
|
||
logWithTimestamp("发送插入请求到ClickHouse...");
|
||
const response = await fetch(clickhouseUrl, {
|
||
method: "POST",
|
||
headers: {
|
||
"Content-Type": "application/x-www-form-urlencoded",
|
||
"Authorization": `Basic ${Buffer.from(`${clickhouseConfig.clickhouse_user}:${clickhouseConfig.clickhouse_password}`).toString('base64')}`
|
||
},
|
||
body: insertSQL,
|
||
signal: AbortSignal.timeout(20000)
|
||
});
|
||
|
||
if (!response.ok) {
|
||
const errorText = await response.text();
|
||
throw new Error(`ClickHouse插入错误: ${response.status} ${errorText}`);
|
||
}
|
||
|
||
logWithTimestamp(`成功插入 ${newRecords.length} 条记录到ClickHouse`);
|
||
return newRecords.length;
|
||
} catch (err) {
|
||
const error = err as Error;
|
||
logWithTimestamp(`向ClickHouse插入数据失败: ${error.message}`);
|
||
throw error;
|
||
}
|
||
};
|
||
|
||
// 批量处理记录
|
||
for (let page = 0; processedRecords < recordsToProcess; page++) {
|
||
// 检查超时
|
||
if (checkTimeout()) {
|
||
logWithTimestamp(`已处理 ${processedRecords}/${recordsToProcess} 条记录，因超时暂停执行`);
|
||
break;
|
||
}
|
||
|
||
// 每批次都输出进度
|
||
logWithTimestamp(`开始处理第 ${page+1} 批次，已完成 ${processedRecords}/${recordsToProcess} 条记录 (${Math.round(processedRecords/recordsToProcess*100)}%)`);
|
||
|
||
logWithTimestamp(`正在从MongoDB获取第 ${page+1} 批次数据...`);
|
||
const records = await traceCollection.find(query)
|
||
.sort({ createTime: 1, _id: 1 })
|
||
.skip(page * batch_size)
|
||
.limit(batch_size)
|
||
.toArray();
|
||
|
||
if (records.length === 0) {
|
||
logWithTimestamp(`第 ${page+1} 批次没有找到数据，结束处理`);
|
||
break;
|
||
}
|
||
|
||
logWithTimestamp(`获取到 ${records.length} 条记录，开始处理...`);
|
||
// 输出当前批次的部分数据信息
|
||
if (records.length > 0) {
|
||
logWithTimestamp(`批次 ${page+1} 第一条记录: ID=${records[0]._id}, 时间=${new Date(records[0].createTime).toISOString()}`);
|
||
if (records.length > 1) {
|
||
logWithTimestamp(`批次 ${page+1} 最后一条记录: ID=${records[records.length-1]._id}, 时间=${new Date(records[records.length-1].createTime).toISOString()}`);
|
||
}
|
||
}
|
||
|
||
const batchSize = await processRecords(records);
|
||
processedRecords += records.length; // 总是增加处理的记录数，即使有些记录已存在
|
||
totalBatchRecords += batchSize; // 只增加实际插入的记录数
|
||
|
||
logWithTimestamp(`第 ${page+1} 批次处理完成。已处理 ${processedRecords}/${recordsToProcess} 条记录，实际插入 ${totalBatchRecords} 条 (${Math.round(processedRecords/recordsToProcess*100)}%)`);
|
||
|
||
// 更新查询条件，以便下一批次查询
|
||
query.createTime = { $gt: lastCreateTime };
|
||
if (lastId) {
|
||
query._id = { $gt: new ObjectId(lastId) };
|
||
}
|
||
logWithTimestamp(`更新查询条件: 创建时间 > ${new Date(lastCreateTime).toISOString()}, ID > ${lastId || 'none'}`);
|
||
}
|
||
|
||
// 更新同步状态
|
||
const newSyncState: SyncState = {
|
||
last_sync_time: lastCreateTime,
|
||
records_synced: syncState.records_synced + totalBatchRecords,
|
||
last_sync_id: lastId
|
||
};
|
||
|
||
await setVariable("f/shorturl_analytics/clickhouse/shorturl_sync_state", JSON.stringify(newSyncState));
|
||
console.log(`同步状态已更新: 最后同步时间 ${new Date(newSyncState.last_sync_time).toISOString()}, 总同步记录数 ${newSyncState.records_synced}`);
|
||
|
||
return {
|
||
success: true,
|
||
records_processed: processedRecords,
|
||
records_synced: totalBatchRecords,
|
||
total_synced: newSyncState.records_synced,
|
||
last_sync_time: new Date(newSyncState.last_sync_time).toISOString(),
|
||
message: "数据同步完成"
|
||
};
|
||
} catch (err) {
|
||
console.error("同步过程中发生错误:", err);
|
||
return {
|
||
success: false,
|
||
error: err instanceof Error ? err.message : String(err),
|
||
stack: err instanceof Error ? err.stack : undefined
|
||
};
|
||
} finally {
|
||
// 关闭MongoDB连接
|
||
await client.close();
|
||
console.log("MongoDB连接已关闭");
|
||
}
|
||
}
|
||
|
||
// 如果直接执行此脚本
|
||
if (require.main === module) {
|
||
// 解析命令行参数
|
||
const args = process.argv.slice(2);
|
||
const params: Record<string, any> = {
|
||
batch_size: 1000,
|
||
initial_sync: false,
|
||
max_records: 9999999,
|
||
timeout_minutes: 60,
|
||
skip_clickhouse_check: false,
|
||
force_insert: false
|
||
};
|
||
|
||
// 简单的参数解析
|
||
for (let i = 0; i < args.length; i += 2) {
|
||
if (args[i].startsWith('--') && i + 1 < args.length) {
|
||
const key = args[i].substring(2);
|
||
let value: any = args[i + 1];
|
||
|
||
// 类型转换
|
||
if (value === 'true') value = true;
|
||
else if (value === 'false') value = false;
|
||
else if (!isNaN(Number(value))) value = Number(value);
|
||
|
||
params[key] = value;
|
||
}
|
||
}
|
||
|
||
console.log('启动同步任务，参数:', params);
|
||
main(
|
||
params.batch_size,
|
||
params.initial_sync,
|
||
params.max_records,
|
||
params.timeout_minutes,
|
||
params.skip_clickhouse_check,
|
||
params.force_insert
|
||
).then(result => {
|
||
console.log('同步任务完成:', result);
|
||
process.exit(result.success ? 0 : 1);
|
||
}).catch(err => {
|
||
console.error('同步任务失败:', err);
|
||
process.exit(1);
|
||
});
|
||
}
|