XuJiacheng
8337c60f98
引入批量处理机制，将消息缓冲并按批次写入数据库，显著提高消费性能。调整Kafka配置参数，优化消费者并发与提交策略。新增分区索引自动创建功能，并重构处理器以支持批量操作。添加降级写入逻辑以处理数据错误，同时增强指标收集以监控批量处理效果。
1215 lines
43 KiB
JavaScript
1215 lines
43 KiB
JavaScript
import cron from "node-cron";
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import dotenv from "dotenv";
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import pg from "pg";
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import fs from "fs";
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import path from "path";
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import { fileURLToPath } from "url";
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import kafka from "kafka-node";
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import { randomUUID } from "crypto";
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import { z } from "zod";
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import { createClient } from "redis";
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dotenv.config();
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const parseNumber = (value, defaultValue) => {
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const parsed = Number(value);
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return Number.isFinite(parsed) ? parsed : defaultValue;
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};
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const parseList = (value) => (value || "").split(",").map((item) => item.trim()).filter(Boolean);
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const config = {
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env: process.env.NODE_ENV || "development",
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port: parseNumber(process.env.PORT, 3001),
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kafka: {
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brokers: parseList(process.env.KAFKA_BROKERS),
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topic: process.env.KAFKA_TOPIC || process.env.KAFKA_TOPICS || "blwlog4Nodejs-rcu-onoffline-topic",
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groupId: process.env.KAFKA_GROUP_ID || "bls-onoffline-group",
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clientId: process.env.KAFKA_CLIENT_ID || "bls-onoffline-client",
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consumerInstances: parseNumber(process.env.KAFKA_CONSUMER_INSTANCES, 1),
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maxInFlight: parseNumber(process.env.KAFKA_MAX_IN_FLIGHT, 2e4),
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fetchMaxBytes: parseNumber(process.env.KAFKA_FETCH_MAX_BYTES, 50 * 1024 * 1024),
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fetchMinBytes: parseNumber(process.env.KAFKA_FETCH_MIN_BYTES, 256 * 1024),
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fetchMaxWaitMs: parseNumber(process.env.KAFKA_FETCH_MAX_WAIT_MS, 100),
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autoCommitIntervalMs: parseNumber(process.env.KAFKA_AUTO_COMMIT_INTERVAL_MS, 5e3),
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commitIntervalMs: parseNumber(process.env.KAFKA_COMMIT_INTERVAL_MS, 200),
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commitOnAttempt: process.env.KAFKA_COMMIT_ON_ATTEMPT === "true",
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batchSize: parseNumber(process.env.KAFKA_BATCH_SIZE, 5e3),
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batchTimeoutMs: parseNumber(process.env.KAFKA_BATCH_TIMEOUT_MS, 50),
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logMessages: process.env.KAFKA_LOG_MESSAGES === "true",
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sasl: process.env.KAFKA_SASL_USERNAME && process.env.KAFKA_SASL_PASSWORD ? {
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mechanism: process.env.KAFKA_SASL_MECHANISM || "plain",
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username: process.env.KAFKA_SASL_USERNAME,
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password: process.env.KAFKA_SASL_PASSWORD
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} : void 0
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},
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db: {
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host: process.env.DB_HOST || process.env.POSTGRES_HOST || "localhost",
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port: parseNumber(process.env.DB_PORT || process.env.POSTGRES_PORT, 5432),
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user: process.env.DB_USER || process.env.POSTGRES_USER || "postgres",
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password: process.env.DB_PASSWORD || process.env.POSTGRES_PASSWORD || "",
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database: process.env.DB_DATABASE || process.env.POSTGRES_DATABASE || "log_platform",
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max: parseNumber(process.env.DB_MAX_CONNECTIONS || process.env.POSTGRES_MAX_CONNECTIONS, 10),
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ssl: process.env.DB_SSL === "true" ? { rejectUnauthorized: false } : void 0,
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schema: process.env.DB_SCHEMA || "onoffline",
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table: process.env.DB_TABLE || "onoffline_record"
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},
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redis: {
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host: process.env.REDIS_HOST || "localhost",
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port: parseNumber(process.env.REDIS_PORT, 6379),
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password: process.env.REDIS_PASSWORD || void 0,
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db: parseNumber(process.env.REDIS_DB, 0),
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projectName: process.env.REDIS_PROJECT_NAME || "bls-onoffline",
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apiBaseUrl: process.env.REDIS_API_BASE_URL || `http://localhost:${parseNumber(process.env.PORT, 3001)}`
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}
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};
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const format = (level, message, context) => {
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const payload = {
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level,
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message,
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timestamp: Date.now(),
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...context ? { context } : {}
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};
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return JSON.stringify(payload);
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};
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const logger = {
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info(message, context) {
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process.stdout.write(`${format("info", message, context)}
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`);
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},
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error(message, context) {
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process.stderr.write(`${format("error", message, context)}
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`);
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},
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warn(message, context) {
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process.stderr.write(`${format("warn", message, context)}
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`);
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}
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};
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const { Pool } = pg;
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const columns = [
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"guid",
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"ts_ms",
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"write_ts_ms",
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"hotel_id",
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"mac",
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"device_id",
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"room_id",
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"ip",
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"current_status",
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"launcher_version",
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"reboot_reason"
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];
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class DatabaseManager {
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constructor(dbConfig) {
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this.pool = new Pool({
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host: dbConfig.host,
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port: dbConfig.port,
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user: dbConfig.user,
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password: dbConfig.password,
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database: dbConfig.database,
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max: dbConfig.max,
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ssl: dbConfig.ssl
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});
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}
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async insertRows({ schema, table, rows }) {
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if (!rows || rows.length === 0) {
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return;
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}
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const statement = `
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INSERT INTO ${schema}.${table} (${columns.join(", ")})
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SELECT *
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FROM UNNEST(
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$1::text[],
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$2::int8[],
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$3::int8[],
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$4::int2[],
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$5::text[],
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$6::text[],
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$7::text[],
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$8::text[],
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$9::text[],
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$10::text[],
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$11::text[]
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)
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ON CONFLICT DO NOTHING
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`;
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try {
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const params = columns.map((column) => rows.map((row) => row[column] ?? null));
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await this.pool.query(statement, params);
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} catch (error) {
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logger.error("Database insert failed", {
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error: error?.message,
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schema,
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table,
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rowsLength: rows.length
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});
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throw error;
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}
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}
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async checkConnection() {
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let client;
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try {
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const connectPromise = this.pool.connect();
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const timeoutPromise = new Promise((_, reject) => {
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setTimeout(() => reject(new Error("Connection timeout")), 5e3);
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});
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try {
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client = await Promise.race([connectPromise, timeoutPromise]);
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} catch (raceError) {
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connectPromise.then((c) => c.release()).catch(() => {
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});
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throw raceError;
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}
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await client.query("SELECT 1");
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return true;
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} catch (err) {
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logger.error("Database check connection failed", { error: err.message });
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return false;
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} finally {
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if (client) {
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client.release();
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}
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}
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}
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async close() {
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await this.pool.end();
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}
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}
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const dbManager = new DatabaseManager(config.db);
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class PartitionManager {
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/**
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* Calculate the start and end timestamps (milliseconds) for a given date.
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* @param {Date} date - The date to calculate for.
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* @returns {Object} { startMs, endMs, partitionSuffix }
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*/
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getPartitionInfo(date) {
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const yyyy = date.getFullYear();
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const mm = String(date.getMonth() + 1).padStart(2, "0");
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const dd = String(date.getDate()).padStart(2, "0");
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const partitionSuffix = `${yyyy}${mm}${dd}`;
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const start = new Date(date);
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start.setHours(0, 0, 0, 0);
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const startMs = start.getTime();
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const end = new Date(date);
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end.setDate(end.getDate() + 1);
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end.setHours(0, 0, 0, 0);
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const endMs = end.getTime();
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return { startMs, endMs, partitionSuffix };
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}
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async ensurePartitionIndexes(client, schema, table, partitionSuffix) {
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const startedAt = Date.now();
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const partitionName = `${schema}.${table}_${partitionSuffix}`;
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const indexBase = `${table}_${partitionSuffix}`;
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const indexSpecs = [
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{ name: `idx_${indexBase}_ts`, column: "ts_ms" },
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{ name: `idx_${indexBase}_hid`, column: "hotel_id" },
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{ name: `idx_${indexBase}_mac`, column: "mac" },
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{ name: `idx_${indexBase}_did`, column: "device_id" },
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{ name: `idx_${indexBase}_rid`, column: "room_id" },
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{ name: `idx_${indexBase}_cs`, column: "current_status" }
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];
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for (const spec of indexSpecs) {
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await client.query(`CREATE INDEX IF NOT EXISTS ${spec.name} ON ${partitionName} (${spec.column});`);
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}
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await client.query(`ANALYZE ${partitionName};`);
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const elapsedMs = Date.now() - startedAt;
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if (elapsedMs > 1e3) {
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logger.warn(`Partition index ensure slow`, { partitionName, elapsedMs });
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}
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}
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async ensureIndexesForExistingPartitions() {
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const startedAt = Date.now();
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const client = await dbManager.pool.connect();
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try {
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const schema = config.db.schema;
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const table = config.db.table;
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const res = await client.query(
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`
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SELECT c.relname AS relname
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FROM pg_inherits i
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JOIN pg_class p ON i.inhparent = p.oid
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JOIN pg_namespace pn ON pn.oid = p.relnamespace
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JOIN pg_class c ON i.inhrelid = c.oid
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WHERE pn.nspname = $1 AND p.relname = $2
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ORDER BY c.relname;
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`,
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[schema, table]
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);
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const suffixes = /* @__PURE__ */ new Set();
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const pattern = new RegExp(`^${table}_(\\d{8})$`);
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for (const row of res.rows) {
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const relname = row?.relname;
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if (typeof relname !== "string") continue;
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const match = relname.match(pattern);
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if (!match) continue;
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suffixes.add(match[1]);
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}
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for (const suffix of suffixes) {
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await this.ensurePartitionIndexes(client, schema, table, suffix);
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}
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const elapsedMs = Date.now() - startedAt;
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if (elapsedMs > 5e3) {
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logger.warn("Ensure existing partition indexes slow", { schema, table, partitions: suffixes.size, elapsedMs });
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}
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} finally {
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client.release();
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}
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}
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/**
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* Ensure partitions exist for the past M days and next N days.
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* @param {number} daysAhead - Number of days to pre-create.
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* @param {number} daysBack - Number of days to look back.
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*/
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async ensurePartitions(daysAhead = 30, daysBack = 15) {
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const client = await dbManager.pool.connect();
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try {
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logger.info(`Starting partition check for the past ${daysBack} days and next ${daysAhead} days...`);
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console.log(`Starting partition check for the past ${daysBack} days and next ${daysAhead} days...`);
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const now = /* @__PURE__ */ new Date();
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for (let i = -daysBack; i < daysAhead; i++) {
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const targetDate = new Date(now);
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targetDate.setDate(now.getDate() + i);
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const { startMs, endMs, partitionSuffix } = this.getPartitionInfo(targetDate);
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const schema = config.db.schema;
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const table = config.db.table;
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const partitionName = `${schema}.${table}_${partitionSuffix}`;
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const checkSql = `
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SELECT to_regclass($1) as exists;
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`;
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const checkRes = await client.query(checkSql, [partitionName]);
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if (!checkRes.rows[0].exists) {
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logger.info(`Creating partition ${partitionName} for range [${startMs}, ${endMs})`);
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console.log(`Creating partition ${partitionName} for range [${startMs}, ${endMs})`);
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const createSql = `
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CREATE TABLE IF NOT EXISTS ${partitionName}
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PARTITION OF ${schema}.${table}
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FOR VALUES FROM (${startMs}) TO (${endMs});
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`;
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await client.query(createSql);
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}
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await this.ensurePartitionIndexes(client, schema, table, partitionSuffix);
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}
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logger.info("Partition check completed.");
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} catch (err) {
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logger.error("Error ensuring partitions:", err);
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throw err;
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} finally {
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client.release();
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}
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}
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async ensurePartitionsForTimestamps(tsMsList) {
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if (!Array.isArray(tsMsList) || tsMsList.length === 0) return;
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const uniqueSuffixes = /* @__PURE__ */ new Set();
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for (const ts of tsMsList) {
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const numericTs = typeof ts === "string" ? Number(ts) : ts;
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if (!Number.isFinite(numericTs)) continue;
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const date = new Date(numericTs);
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if (Number.isNaN(date.getTime())) continue;
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const { partitionSuffix } = this.getPartitionInfo(date);
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uniqueSuffixes.add(partitionSuffix);
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if (uniqueSuffixes.size >= 400) break;
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}
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if (uniqueSuffixes.size === 0) return;
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const client = await dbManager.pool.connect();
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try {
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const schema = config.db.schema;
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const table = config.db.table;
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for (const partitionSuffix of uniqueSuffixes) {
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const yyyy = Number(partitionSuffix.slice(0, 4));
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const mm = Number(partitionSuffix.slice(4, 6));
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const dd = Number(partitionSuffix.slice(6, 8));
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if (!Number.isFinite(yyyy) || !Number.isFinite(mm) || !Number.isFinite(dd)) continue;
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const targetDate = new Date(yyyy, mm - 1, dd);
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if (Number.isNaN(targetDate.getTime())) continue;
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const { startMs, endMs } = this.getPartitionInfo(targetDate);
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const partitionName = `${schema}.${table}_${partitionSuffix}`;
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const checkRes = await client.query(`SELECT to_regclass($1) as exists;`, [partitionName]);
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if (!checkRes.rows[0].exists) {
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logger.info(`Creating partition ${partitionName} for range [${startMs}, ${endMs})`);
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await client.query(`
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CREATE TABLE IF NOT EXISTS ${partitionName}
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PARTITION OF ${schema}.${table}
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FOR VALUES FROM (${startMs}) TO (${endMs});
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`);
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}
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await this.ensurePartitionIndexes(client, schema, table, partitionSuffix);
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}
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} finally {
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client.release();
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}
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}
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}
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const partitionManager = new PartitionManager();
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const __filename$1 = fileURLToPath(import.meta.url);
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const __dirname$1 = path.dirname(__filename$1);
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class DatabaseInitializer {
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async initialize() {
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logger.info("Starting database initialization check...");
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await this.ensureDatabaseExists();
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await this.ensureSchemaAndTable();
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await partitionManager.ensurePartitions(30);
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await partitionManager.ensureIndexesForExistingPartitions();
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console.log("Database initialization completed successfully.");
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logger.info("Database initialization completed successfully.");
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}
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async ensureDatabaseExists() {
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const { host, port, user, password, database, ssl } = config.db;
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console.log(`Checking if database '${database}' exists at ${host}:${port}...`);
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const client = new pg.Client({
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host,
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port,
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user,
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password,
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database: "postgres",
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ssl: ssl ? { rejectUnauthorized: false } : false
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});
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try {
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await client.connect();
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const checkRes = await client.query(
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`SELECT 1 FROM pg_database WHERE datname = $1`,
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[database]
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);
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if (checkRes.rowCount === 0) {
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logger.info(`Database '${database}' does not exist. Creating...`);
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await client.query(`CREATE DATABASE "${database}"`);
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console.log(`Database '${database}' created.`);
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logger.info(`Database '${database}' created.`);
|
|
} else {
|
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console.log(`Database '${database}' already exists.`);
|
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logger.info(`Database '${database}' already exists.`);
|
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}
|
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} catch (err) {
|
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logger.error("Error ensuring database exists:", err);
|
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throw err;
|
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} finally {
|
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await client.end();
|
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}
|
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}
|
|
async ensureSchemaAndTable() {
|
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const client = await dbManager.pool.connect();
|
|
try {
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const sqlPathCandidates = [
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path.resolve(process.cwd(), "scripts/init_db.sql"),
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path.resolve(__dirname$1, "../scripts/init_db.sql"),
|
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path.resolve(__dirname$1, "../../scripts/init_db.sql")
|
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];
|
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const sqlPath = sqlPathCandidates.find((candidate) => fs.existsSync(candidate));
|
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if (!sqlPath) {
|
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throw new Error(`init_db.sql not found. Candidates: ${sqlPathCandidates.join(" | ")}`);
|
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}
|
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const sql = fs.readFileSync(sqlPath, "utf8");
|
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console.log(`Executing init_db.sql from ${sqlPath}...`);
|
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logger.info("Executing init_db.sql...");
|
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await client.query(sql);
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console.log("Schema and parent table initialized.");
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logger.info("Schema and parent table initialized.");
|
|
} catch (err) {
|
|
logger.error("Error initializing schema and table:", err);
|
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throw err;
|
|
} finally {
|
|
client.release();
|
|
}
|
|
}
|
|
}
|
|
const dbInitializer = new DatabaseInitializer();
|
|
class OffsetTracker {
|
|
constructor() {
|
|
this.partitions = /* @__PURE__ */ new Map();
|
|
}
|
|
// Called when a message is received (before processing)
|
|
add(topic, partition, offset) {
|
|
const key = `${topic}-${partition}`;
|
|
if (!this.partitions.has(key)) {
|
|
this.partitions.set(key, { nextCommitOffset: null, done: /* @__PURE__ */ new Set() });
|
|
}
|
|
const state = this.partitions.get(key);
|
|
const numericOffset = Number(offset);
|
|
if (!Number.isFinite(numericOffset)) return;
|
|
if (state.nextCommitOffset === null) {
|
|
state.nextCommitOffset = numericOffset;
|
|
} else if (numericOffset < state.nextCommitOffset) {
|
|
state.nextCommitOffset = numericOffset;
|
|
}
|
|
}
|
|
// Called when a message is successfully processed
|
|
// Returns the next offset to commit (if any advancement is possible), or null
|
|
markDone(topic, partition, offset) {
|
|
const key = `${topic}-${partition}`;
|
|
const state = this.partitions.get(key);
|
|
if (!state) return null;
|
|
const numericOffset = Number(offset);
|
|
if (!Number.isFinite(numericOffset)) return null;
|
|
state.done.add(numericOffset);
|
|
if (state.nextCommitOffset === null) {
|
|
state.nextCommitOffset = numericOffset;
|
|
}
|
|
let advanced = false;
|
|
while (state.nextCommitOffset !== null && state.done.has(state.nextCommitOffset)) {
|
|
state.done.delete(state.nextCommitOffset);
|
|
state.nextCommitOffset += 1;
|
|
advanced = true;
|
|
}
|
|
if (!advanced) return null;
|
|
return state.nextCommitOffset;
|
|
}
|
|
clear() {
|
|
this.partitions.clear();
|
|
}
|
|
}
|
|
const { ConsumerGroup } = kafka;
|
|
const createOneConsumer = ({ kafkaConfig, onMessage, onError, instanceIndex }) => {
|
|
const kafkaHost = kafkaConfig.brokers.join(",");
|
|
const clientId = instanceIndex === 0 ? kafkaConfig.clientId : `${kafkaConfig.clientId}-${instanceIndex}`;
|
|
const id = `${clientId}-${process.pid}-${Date.now()}`;
|
|
const maxInFlight = Number.isFinite(kafkaConfig.maxInFlight) ? kafkaConfig.maxInFlight : 5e3;
|
|
const commitIntervalMs = Number.isFinite(kafkaConfig.commitIntervalMs) ? kafkaConfig.commitIntervalMs : 200;
|
|
let inFlight = 0;
|
|
const tracker = new OffsetTracker();
|
|
let pendingCommits = /* @__PURE__ */ new Map();
|
|
let commitTimer = null;
|
|
const flushCommits = () => {
|
|
if (pendingCommits.size === 0) return;
|
|
const batch = pendingCommits;
|
|
pendingCommits = /* @__PURE__ */ new Map();
|
|
consumer.sendOffsetCommitRequest(
|
|
Array.from(batch.values()),
|
|
(err) => {
|
|
if (err) {
|
|
for (const [k, v] of batch.entries()) {
|
|
pendingCommits.set(k, v);
|
|
}
|
|
logger.error("Kafka commit failed", { error: err?.message, count: batch.size });
|
|
}
|
|
}
|
|
);
|
|
};
|
|
const scheduleCommitFlush = () => {
|
|
if (commitTimer) return;
|
|
commitTimer = setTimeout(() => {
|
|
commitTimer = null;
|
|
flushCommits();
|
|
}, commitIntervalMs);
|
|
};
|
|
const consumer = new ConsumerGroup(
|
|
{
|
|
kafkaHost,
|
|
groupId: kafkaConfig.groupId,
|
|
clientId,
|
|
id,
|
|
fromOffset: "earliest",
|
|
protocol: ["roundrobin"],
|
|
outOfRangeOffset: "latest",
|
|
autoCommit: false,
|
|
autoCommitIntervalMs: kafkaConfig.autoCommitIntervalMs,
|
|
fetchMaxBytes: kafkaConfig.fetchMaxBytes,
|
|
fetchMinBytes: kafkaConfig.fetchMinBytes,
|
|
fetchMaxWaitMs: kafkaConfig.fetchMaxWaitMs,
|
|
sasl: kafkaConfig.sasl
|
|
},
|
|
kafkaConfig.topic
|
|
);
|
|
const tryResume = () => {
|
|
if (inFlight < maxInFlight && consumer.paused) {
|
|
consumer.resume();
|
|
}
|
|
};
|
|
consumer.on("message", (message) => {
|
|
inFlight += 1;
|
|
tracker.add(message.topic, message.partition, message.offset);
|
|
if (inFlight >= maxInFlight) {
|
|
consumer.pause();
|
|
}
|
|
Promise.resolve(onMessage(message)).then(() => {
|
|
}).catch((error) => {
|
|
logger.error("Kafka message handling failed", { error: error?.message });
|
|
if (onError) {
|
|
onError(error, message);
|
|
}
|
|
}).finally(() => {
|
|
const commitOffset = tracker.markDone(message.topic, message.partition, message.offset);
|
|
if (commitOffset !== null) {
|
|
const key = `${message.topic}-${message.partition}`;
|
|
pendingCommits.set(key, {
|
|
topic: message.topic,
|
|
partition: message.partition,
|
|
offset: commitOffset,
|
|
metadata: "m"
|
|
});
|
|
scheduleCommitFlush();
|
|
}
|
|
inFlight -= 1;
|
|
tryResume();
|
|
});
|
|
});
|
|
consumer.on("error", (error) => {
|
|
logger.error("Kafka consumer error", { error: error?.message });
|
|
if (onError) {
|
|
onError(error);
|
|
}
|
|
});
|
|
consumer.on("connect", () => {
|
|
logger.info(`Kafka Consumer connected`, {
|
|
groupId: kafkaConfig.groupId,
|
|
clientId
|
|
});
|
|
});
|
|
consumer.on("rebalancing", () => {
|
|
logger.info(`Kafka Consumer rebalancing`, {
|
|
groupId: kafkaConfig.groupId,
|
|
clientId
|
|
});
|
|
tracker.clear();
|
|
pendingCommits.clear();
|
|
if (commitTimer) {
|
|
clearTimeout(commitTimer);
|
|
commitTimer = null;
|
|
}
|
|
});
|
|
consumer.on("rebalanced", () => {
|
|
logger.info("Kafka Consumer rebalanced", { clientId, groupId: kafkaConfig.groupId });
|
|
});
|
|
consumer.on("error", (err) => {
|
|
logger.error("Kafka Consumer Error", { error: err.message });
|
|
});
|
|
consumer.on("offsetOutOfRange", (err) => {
|
|
logger.warn("Offset out of range", { error: err.message, topic: err.topic, partition: err.partition });
|
|
});
|
|
consumer.on("offsetOutOfRange", (error) => {
|
|
logger.warn(`Kafka Consumer offset out of range`, {
|
|
error: error?.message,
|
|
groupId: kafkaConfig.groupId,
|
|
clientId
|
|
});
|
|
});
|
|
consumer.on("close", () => {
|
|
if (commitTimer) {
|
|
clearTimeout(commitTimer);
|
|
commitTimer = null;
|
|
}
|
|
flushCommits();
|
|
logger.warn(`Kafka Consumer closed`, {
|
|
groupId: kafkaConfig.groupId,
|
|
clientId
|
|
});
|
|
});
|
|
return consumer;
|
|
};
|
|
const createKafkaConsumers = ({ kafkaConfig, onMessage, onError }) => {
|
|
const instances = Number.isFinite(kafkaConfig.consumerInstances) ? kafkaConfig.consumerInstances : 1;
|
|
const count = Math.max(1, instances);
|
|
return Array.from(
|
|
{ length: count },
|
|
(_, idx) => createOneConsumer({ kafkaConfig, onMessage, onError, instanceIndex: idx })
|
|
);
|
|
};
|
|
const createGuid = () => randomUUID().replace(/-/g, "");
|
|
const toNumber = (value) => {
|
|
if (value === void 0 || value === null || value === "") {
|
|
return value;
|
|
}
|
|
if (typeof value === "number") {
|
|
return value;
|
|
}
|
|
const parsed = Number(value);
|
|
return Number.isFinite(parsed) ? parsed : value;
|
|
};
|
|
const toStringAllowEmpty = (value) => {
|
|
if (value === void 0 || value === null) {
|
|
return value;
|
|
}
|
|
return String(value);
|
|
};
|
|
const kafkaPayloadSchema = z.object({
|
|
HotelCode: z.preprocess(toNumber, z.number()),
|
|
MAC: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
|
|
HostNumber: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
|
|
RoomNumber: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
|
|
EndPoint: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
|
|
CurrentStatus: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
|
|
CurrentTime: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
|
|
UnixTime: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
|
|
LauncherVersion: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
|
|
RebootReason: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable()
|
|
});
|
|
const normalizeText = (value, maxLength) => {
|
|
if (value === void 0 || value === null) {
|
|
return null;
|
|
}
|
|
const str = String(value);
|
|
if (maxLength && str.length > maxLength) {
|
|
return str.substring(0, maxLength);
|
|
}
|
|
return str;
|
|
};
|
|
const buildRowsFromPayload = (rawPayload) => {
|
|
const payload = kafkaPayloadSchema.parse(rawPayload);
|
|
const rebootReason = normalizeText(payload.RebootReason, 255);
|
|
const currentStatusRaw = normalizeText(payload.CurrentStatus, 255);
|
|
const hasRebootReason = rebootReason !== null && rebootReason !== "";
|
|
const currentStatus = hasRebootReason ? "on" : currentStatusRaw;
|
|
let tsMs = payload.UnixTime;
|
|
if (typeof tsMs === "number" && tsMs < 1e11) {
|
|
tsMs = tsMs * 1e3;
|
|
}
|
|
if (!tsMs && payload.CurrentTime) {
|
|
const parsed = Date.parse(payload.CurrentTime);
|
|
if (!isNaN(parsed)) {
|
|
tsMs = parsed;
|
|
}
|
|
}
|
|
if (!tsMs) {
|
|
tsMs = Date.now();
|
|
}
|
|
const mac = normalizeText(payload.MAC) || "";
|
|
const deviceId = normalizeText(payload.HostNumber) || "";
|
|
const roomId = normalizeText(payload.RoomNumber) || "";
|
|
const row = {
|
|
guid: createGuid(),
|
|
ts_ms: tsMs,
|
|
write_ts_ms: Date.now(),
|
|
hotel_id: payload.HotelCode,
|
|
mac,
|
|
device_id: deviceId,
|
|
room_id: roomId,
|
|
ip: normalizeText(payload.EndPoint),
|
|
current_status: currentStatus,
|
|
launcher_version: normalizeText(payload.LauncherVersion, 255),
|
|
reboot_reason: rebootReason
|
|
};
|
|
return [row];
|
|
};
|
|
const parseMessageToRows = (message) => {
|
|
const rawValue = message.value.toString();
|
|
let payload;
|
|
try {
|
|
payload = JSON.parse(rawValue);
|
|
} catch (e) {
|
|
const error = new Error(`JSON Parse Error: ${e.message}`);
|
|
error.type = "PARSE_ERROR";
|
|
throw error;
|
|
}
|
|
const validationResult = kafkaPayloadSchema.safeParse(payload);
|
|
if (!validationResult.success) {
|
|
const error = new Error(`Schema Validation Failed: ${JSON.stringify(validationResult.error.errors)}`);
|
|
error.type = "VALIDATION_ERROR";
|
|
throw error;
|
|
}
|
|
return buildRowsFromPayload(payload);
|
|
};
|
|
const createRedisClient = async (config2) => {
|
|
const client = createClient({
|
|
socket: {
|
|
host: config2.host,
|
|
port: config2.port
|
|
},
|
|
password: config2.password,
|
|
database: config2.db
|
|
});
|
|
await client.connect();
|
|
return client;
|
|
};
|
|
class RedisIntegration {
|
|
constructor(client, projectName, apiBaseUrl) {
|
|
this.client = client;
|
|
this.projectName = projectName;
|
|
this.apiBaseUrl = apiBaseUrl;
|
|
this.heartbeatKey = "项目心跳";
|
|
this.logKey = `${projectName}_项目控制台`;
|
|
}
|
|
async info(message, context) {
|
|
const payload = {
|
|
timestamp: (/* @__PURE__ */ new Date()).toISOString(),
|
|
level: "info",
|
|
message,
|
|
metadata: context || void 0
|
|
};
|
|
await this.client.rPush(this.logKey, JSON.stringify(payload));
|
|
}
|
|
async error(message, context) {
|
|
const payload = {
|
|
timestamp: (/* @__PURE__ */ new Date()).toISOString(),
|
|
level: "error",
|
|
message,
|
|
metadata: context || void 0
|
|
};
|
|
await this.client.rPush(this.logKey, JSON.stringify(payload));
|
|
}
|
|
startHeartbeat() {
|
|
setInterval(() => {
|
|
const payload = {
|
|
projectName: this.projectName,
|
|
apiBaseUrl: this.apiBaseUrl,
|
|
lastActiveAt: Date.now()
|
|
};
|
|
this.client.rPush(this.heartbeatKey, JSON.stringify(payload));
|
|
}, 3e3);
|
|
}
|
|
}
|
|
const buildErrorQueueKey = (projectName) => `${projectName}_error_queue`;
|
|
const enqueueError = async (client, queueKey, payload) => {
|
|
try {
|
|
await client.rPush(queueKey, JSON.stringify(payload));
|
|
} catch (error) {
|
|
logger.error("Redis enqueue error failed", { error: error?.message });
|
|
throw error;
|
|
}
|
|
};
|
|
const startErrorRetryWorker = async ({
|
|
client,
|
|
queueKey,
|
|
handler,
|
|
redisIntegration,
|
|
maxAttempts = 5
|
|
}) => {
|
|
while (true) {
|
|
const result = await client.blPop(queueKey, 0);
|
|
const raw = result?.element;
|
|
if (!raw) {
|
|
continue;
|
|
}
|
|
let item;
|
|
try {
|
|
item = JSON.parse(raw);
|
|
} catch (error) {
|
|
logger.error("Invalid error payload", { error: error?.message });
|
|
await redisIntegration.error("Invalid error payload", { module: "redis", stack: error?.message });
|
|
continue;
|
|
}
|
|
const attempts = item.attempts || 0;
|
|
try {
|
|
await handler(item);
|
|
} catch (error) {
|
|
logger.error("Retry handler failed", { error: error?.message, stack: error?.stack });
|
|
const nextPayload = {
|
|
...item,
|
|
attempts: attempts + 1,
|
|
lastError: error?.message,
|
|
lastAttemptAt: Date.now()
|
|
};
|
|
if (nextPayload.attempts >= maxAttempts) {
|
|
await redisIntegration.error("Retry attempts exceeded", { module: "retry", stack: JSON.stringify(nextPayload) });
|
|
} else {
|
|
await enqueueError(client, queueKey, nextPayload);
|
|
}
|
|
}
|
|
}
|
|
};
|
|
class MetricCollector {
|
|
constructor() {
|
|
this.reset();
|
|
}
|
|
reset() {
|
|
this.metrics = {
|
|
kafka_pulled: 0,
|
|
parse_error: 0,
|
|
db_inserted: 0,
|
|
db_failed: 0,
|
|
db_insert_count: 0,
|
|
db_insert_ms_sum: 0,
|
|
batch_flush_count: 0,
|
|
batch_flush_ms_sum: 0
|
|
};
|
|
this.keyed = {};
|
|
}
|
|
increment(metric, count = 1) {
|
|
if (this.metrics.hasOwnProperty(metric)) {
|
|
this.metrics[metric] += count;
|
|
}
|
|
}
|
|
incrementKeyed(metric, key, count = 1) {
|
|
if (!key) return;
|
|
if (!this.keyed[metric]) {
|
|
this.keyed[metric] = {};
|
|
}
|
|
if (!Object.prototype.hasOwnProperty.call(this.keyed[metric], key)) {
|
|
this.keyed[metric][key] = 0;
|
|
}
|
|
this.keyed[metric][key] += count;
|
|
}
|
|
getAndReset() {
|
|
const current = { ...this.metrics };
|
|
const keyed = JSON.parse(JSON.stringify(this.keyed));
|
|
this.reset();
|
|
return { ...current, keyed };
|
|
}
|
|
}
|
|
const bootstrap = async () => {
|
|
logger.info("Starting application with config", {
|
|
env: process.env.NODE_ENV,
|
|
db: {
|
|
host: config.db.host,
|
|
port: config.db.port,
|
|
user: config.db.user,
|
|
database: config.db.database,
|
|
schema: config.db.schema
|
|
},
|
|
kafka: {
|
|
brokers: config.kafka.brokers,
|
|
topic: config.kafka.topic,
|
|
groupId: config.kafka.groupId
|
|
},
|
|
redis: {
|
|
host: config.redis.host,
|
|
port: config.redis.port
|
|
}
|
|
});
|
|
await dbInitializer.initialize();
|
|
const metricCollector = new MetricCollector();
|
|
cron.schedule("0 0 * * *", async () => {
|
|
logger.info("Running scheduled partition maintenance...");
|
|
try {
|
|
await partitionManager.ensurePartitions(30);
|
|
} catch (err) {
|
|
logger.error("Scheduled partition maintenance failed", err);
|
|
}
|
|
});
|
|
const redisClient = await createRedisClient(config.redis);
|
|
const redisIntegration = new RedisIntegration(
|
|
redisClient,
|
|
config.redis.projectName,
|
|
config.redis.apiBaseUrl
|
|
);
|
|
redisIntegration.startHeartbeat();
|
|
cron.schedule("* * * * *", async () => {
|
|
const metrics = metricCollector.getAndReset();
|
|
const flushAvgMs = metrics.batch_flush_count > 0 ? (metrics.batch_flush_ms_sum / metrics.batch_flush_count).toFixed(1) : "0.0";
|
|
const dbAvgMs = metrics.db_insert_count > 0 ? (metrics.db_insert_ms_sum / metrics.db_insert_count).toFixed(1) : "0.0";
|
|
const report = `[Minute Metrics] Pulled: ${metrics.kafka_pulled}, Parse Error: ${metrics.parse_error}, Inserted: ${metrics.db_inserted}, Failed: ${metrics.db_failed}, FlushAvgMs: ${flushAvgMs}, DbAvgMs: ${dbAvgMs}, PulledByPartition: ${JSON.stringify(metrics.keyed?.kafka_pulled_by_partition || {})}, InsertedByPartition: ${JSON.stringify(metrics.keyed?.db_inserted_by_partition || {})}, FailedByPartition: ${JSON.stringify(metrics.keyed?.db_failed_by_partition || {})}, InsertedByDay: ${JSON.stringify(metrics.keyed?.db_inserted_by_day || {})}, DbMsByDay: ${JSON.stringify(metrics.keyed?.db_insert_ms_sum_by_day || {})}`;
|
|
console.log(report);
|
|
logger.info(report, metrics);
|
|
try {
|
|
await redisIntegration.info("Minute Metrics", metrics);
|
|
} catch (err) {
|
|
logger.error("Failed to report metrics to Redis", { error: err?.message });
|
|
}
|
|
});
|
|
const errorQueueKey = buildErrorQueueKey(config.redis.projectName);
|
|
const handleError = async (error, message) => {
|
|
logger.error("Kafka processing error", {
|
|
error: error?.message,
|
|
type: error?.type,
|
|
stack: error?.stack
|
|
});
|
|
try {
|
|
await redisIntegration.error("Kafka processing error", {
|
|
module: "kafka",
|
|
stack: error?.stack || error?.message
|
|
});
|
|
} catch (redisError) {
|
|
logger.error("Redis error log failed", { error: redisError?.message });
|
|
}
|
|
if (message) {
|
|
const messageValue = Buffer.isBuffer(message.value) ? message.value.toString("utf8") : message.value;
|
|
try {
|
|
await enqueueError(redisClient, errorQueueKey, {
|
|
attempts: 0,
|
|
value: messageValue,
|
|
meta: {
|
|
topic: message.topic,
|
|
partition: message.partition,
|
|
offset: message.offset,
|
|
key: message.key
|
|
},
|
|
timestamp: Date.now()
|
|
});
|
|
} catch (enqueueError2) {
|
|
logger.error("Enqueue error payload failed", { error: enqueueError2?.message });
|
|
}
|
|
}
|
|
};
|
|
const configuredBatchSize = Number.isFinite(config.kafka.batchSize) ? config.kafka.batchSize : 1e3;
|
|
const configuredBatchTimeoutMs = Number.isFinite(config.kafka.batchTimeoutMs) ? config.kafka.batchTimeoutMs : 20;
|
|
const configuredMaxInFlight = Number.isFinite(config.kafka.maxInFlight) ? config.kafka.maxInFlight : 5e3;
|
|
const BATCH_SIZE = Math.max(10, Math.min(configuredBatchSize, configuredMaxInFlight));
|
|
const BATCH_TIMEOUT_MS = Math.max(1, configuredBatchTimeoutMs);
|
|
const commitOnAttempt = config.kafka.commitOnAttempt === true;
|
|
const batchStates = /* @__PURE__ */ new Map();
|
|
const partitionKeyFromMessage = (message) => {
|
|
if (message?.topic !== void 0 && message?.partition !== void 0) {
|
|
return `${message.topic}-${message.partition}`;
|
|
}
|
|
return "retry";
|
|
};
|
|
const dayKeyFromTsMs = (tsMs) => {
|
|
const numeric = typeof tsMs === "string" ? Number(tsMs) : tsMs;
|
|
if (!Number.isFinite(numeric)) return null;
|
|
const d = new Date(numeric);
|
|
if (Number.isNaN(d.getTime())) return null;
|
|
const yyyy = d.getFullYear();
|
|
const mm = String(d.getMonth() + 1).padStart(2, "0");
|
|
const dd = String(d.getDate()).padStart(2, "0");
|
|
return `${yyyy}${mm}${dd}`;
|
|
};
|
|
const getBatchState = (key) => {
|
|
if (!batchStates.has(key)) {
|
|
batchStates.set(key, { items: [], timer: null, flushing: null });
|
|
}
|
|
return batchStates.get(key);
|
|
};
|
|
const isDbConnectionError = (err) => {
|
|
const code = err?.code;
|
|
if (typeof code === "string") {
|
|
const networkCodes = /* @__PURE__ */ new Set([
|
|
"ECONNREFUSED",
|
|
"ECONNRESET",
|
|
"EPIPE",
|
|
"ETIMEDOUT",
|
|
"ENOTFOUND",
|
|
"EHOSTUNREACH",
|
|
"ENETUNREACH",
|
|
"57P03",
|
|
"08006",
|
|
"08001",
|
|
"08000",
|
|
"08003"
|
|
]);
|
|
if (networkCodes.has(code)) return true;
|
|
}
|
|
const message = typeof err?.message === "string" ? err.message : "";
|
|
if (!message) return false;
|
|
const lower = message.toLowerCase();
|
|
return lower.includes("connection timeout") || lower.includes("connection terminated") || lower.includes("connection refused") || lower.includes("terminating connection") || lower.includes("econnrefused") || lower.includes("econnreset") || lower.includes("etimedout") || lower.includes("could not connect") || lower.includes("the database system is starting up") || lower.includes("no pg_hba.conf entry");
|
|
};
|
|
const isMissingPartitionError = (err) => err?.code === "23514" || typeof err?.message === "string" && err.message.includes("no partition of relation");
|
|
const insertRowsWithRetry = async (rows) => {
|
|
const startedAt = Date.now();
|
|
let attemptedPartitionFix = false;
|
|
while (true) {
|
|
try {
|
|
await dbManager.insertRows({ schema: config.db.schema, table: config.db.table, rows });
|
|
metricCollector.increment("db_insert_count", 1);
|
|
metricCollector.increment("db_insert_ms_sum", Date.now() - startedAt);
|
|
return;
|
|
} catch (err) {
|
|
if (isDbConnectionError(err)) {
|
|
logger.error("Database offline during batch insert. Retrying in 5s...", { error: err.message });
|
|
await new Promise((r) => setTimeout(r, 5e3));
|
|
while (!await dbManager.checkConnection()) {
|
|
logger.warn("Database still offline. Waiting 5s...");
|
|
await new Promise((r) => setTimeout(r, 5e3));
|
|
}
|
|
continue;
|
|
}
|
|
if (isMissingPartitionError(err) && !attemptedPartitionFix) {
|
|
attemptedPartitionFix = true;
|
|
try {
|
|
await partitionManager.ensurePartitionsForTimestamps(rows.map((r) => r.ts_ms));
|
|
} catch (partitionErr) {
|
|
if (isDbConnectionError(partitionErr)) {
|
|
logger.error("Database offline during partition ensure. Retrying in 5s...", { error: partitionErr.message });
|
|
await new Promise((r) => setTimeout(r, 5e3));
|
|
while (!await dbManager.checkConnection()) {
|
|
logger.warn("Database still offline. Waiting 5s...");
|
|
await new Promise((r) => setTimeout(r, 5e3));
|
|
}
|
|
continue;
|
|
}
|
|
throw partitionErr;
|
|
}
|
|
continue;
|
|
}
|
|
throw err;
|
|
}
|
|
}
|
|
};
|
|
const insertRowsOnce = async (rows) => {
|
|
const startedAt = Date.now();
|
|
await dbManager.insertRows({ schema: config.db.schema, table: config.db.table, rows });
|
|
metricCollector.increment("db_insert_count", 1);
|
|
metricCollector.increment("db_insert_ms_sum", Date.now() - startedAt);
|
|
};
|
|
const resolveInsertedItems = (partitionKey, items) => {
|
|
let insertedRows = 0;
|
|
for (const p of items) {
|
|
insertedRows += p.rows.length;
|
|
const dayKey = dayKeyFromTsMs(p.rows?.[0]?.ts_ms);
|
|
if (dayKey) {
|
|
metricCollector.incrementKeyed("db_inserted_by_day", dayKey, p.rows.length);
|
|
}
|
|
p.item.resolve();
|
|
}
|
|
metricCollector.increment("db_inserted", insertedRows);
|
|
metricCollector.incrementKeyed("db_inserted_by_partition", partitionKey, insertedRows);
|
|
};
|
|
const handleFailedItem = async (partitionKey, p, err) => {
|
|
metricCollector.increment("db_failed");
|
|
metricCollector.incrementKeyed("db_failed_by_partition", partitionKey, 1);
|
|
const dayKey = dayKeyFromTsMs(p.rows?.[0]?.ts_ms);
|
|
if (dayKey) {
|
|
metricCollector.incrementKeyed("db_failed_by_day", dayKey, 1);
|
|
}
|
|
await handleError(err, p.item.message);
|
|
p.item.resolve();
|
|
};
|
|
const insertItemsDegraded = async (partitionKey, items) => {
|
|
if (items.length === 0) return;
|
|
const rows = items.flatMap((p) => p.rows);
|
|
if (commitOnAttempt) {
|
|
try {
|
|
await insertRowsOnce(rows);
|
|
resolveInsertedItems(partitionKey, items);
|
|
} catch (err) {
|
|
for (const item of items) {
|
|
await handleFailedItem(partitionKey, item, err);
|
|
}
|
|
}
|
|
return;
|
|
}
|
|
try {
|
|
await insertRowsWithRetry(rows);
|
|
resolveInsertedItems(partitionKey, items);
|
|
return;
|
|
} catch (err) {
|
|
if (items.length === 1) {
|
|
try {
|
|
await insertRowsWithRetry(items[0].rows);
|
|
resolveInsertedItems(partitionKey, items);
|
|
} catch (innerErr) {
|
|
await handleFailedItem(partitionKey, items[0], innerErr);
|
|
}
|
|
return;
|
|
}
|
|
const mid = Math.floor(items.length / 2);
|
|
await insertItemsDegraded(partitionKey, items.slice(0, mid));
|
|
await insertItemsDegraded(partitionKey, items.slice(mid));
|
|
}
|
|
};
|
|
const flushBatchForKey = async (partitionKey) => {
|
|
const state = getBatchState(partitionKey);
|
|
if (state.flushing) return state.flushing;
|
|
state.flushing = (async () => {
|
|
if (state.timer) {
|
|
clearTimeout(state.timer);
|
|
state.timer = null;
|
|
}
|
|
if (state.items.length === 0) return;
|
|
const startedAt = Date.now();
|
|
const currentBatch = state.items;
|
|
state.items = [];
|
|
const pendingDbItems = [];
|
|
const unresolvedItems = [];
|
|
try {
|
|
for (const item of currentBatch) {
|
|
try {
|
|
const rows = parseMessageToRows(item.message);
|
|
pendingDbItems.push({ item, rows });
|
|
unresolvedItems.push(item);
|
|
} catch (err) {
|
|
metricCollector.increment("parse_error");
|
|
metricCollector.incrementKeyed("parse_error_by_partition", partitionKey, 1);
|
|
logger.error("Message processing failed (Parse/Validation)", { error: err.message });
|
|
await handleError(err, item.message);
|
|
item.resolve();
|
|
}
|
|
}
|
|
if (pendingDbItems.length > 0) {
|
|
const firstTs = pendingDbItems[0]?.rows?.[0]?.ts_ms;
|
|
const dayKey = dayKeyFromTsMs(firstTs);
|
|
if (dayKey) {
|
|
const dayStartMs = Date.now();
|
|
await insertItemsDegraded(partitionKey, pendingDbItems);
|
|
metricCollector.incrementKeyed("db_insert_ms_sum_by_day", dayKey, Date.now() - dayStartMs);
|
|
} else {
|
|
await insertItemsDegraded(partitionKey, pendingDbItems);
|
|
}
|
|
}
|
|
metricCollector.increment("batch_flush_count", 1);
|
|
metricCollector.increment("batch_flush_ms_sum", Date.now() - startedAt);
|
|
} catch (err) {
|
|
if (!commitOnAttempt && isDbConnectionError(err)) {
|
|
state.items = unresolvedItems.concat(state.items);
|
|
if (!state.timer) {
|
|
state.timer = setTimeout(() => {
|
|
state.timer = null;
|
|
flushBatchForKey(partitionKey);
|
|
}, 5e3);
|
|
}
|
|
return;
|
|
}
|
|
logger.error("Batch flush failed (non-network). Marking as consumed", {
|
|
error: err?.message,
|
|
partitionKey,
|
|
batchSize: currentBatch.length
|
|
});
|
|
for (const item of unresolvedItems) {
|
|
try {
|
|
await handleError(err, item.message);
|
|
} catch {
|
|
}
|
|
item.resolve();
|
|
}
|
|
}
|
|
})().finally(() => {
|
|
state.flushing = null;
|
|
if (state.items.length > 0) {
|
|
if (state.items.length >= BATCH_SIZE) {
|
|
flushBatchForKey(partitionKey);
|
|
} else if (!state.timer) {
|
|
state.timer = setTimeout(() => {
|
|
state.timer = null;
|
|
flushBatchForKey(partitionKey);
|
|
}, BATCH_TIMEOUT_MS);
|
|
}
|
|
}
|
|
});
|
|
return state.flushing;
|
|
};
|
|
const handleMessage = (message) => {
|
|
if (message.topic) {
|
|
metricCollector.increment("kafka_pulled");
|
|
metricCollector.incrementKeyed("kafka_pulled_by_partition", `${message.topic}-${message.partition}`, 1);
|
|
}
|
|
const partitionKey = partitionKeyFromMessage(message);
|
|
const state = getBatchState(partitionKey);
|
|
return new Promise((resolve, reject) => {
|
|
state.items.push({ message, resolve, reject });
|
|
if (state.items.length >= BATCH_SIZE) {
|
|
flushBatchForKey(partitionKey);
|
|
} else if (!state.timer) {
|
|
state.timer = setTimeout(() => {
|
|
state.timer = null;
|
|
flushBatchForKey(partitionKey);
|
|
}, BATCH_TIMEOUT_MS);
|
|
}
|
|
});
|
|
};
|
|
const consumers = createKafkaConsumers({
|
|
kafkaConfig: config.kafka,
|
|
onMessage: handleMessage,
|
|
onError: handleError
|
|
});
|
|
startErrorRetryWorker({
|
|
client: redisClient,
|
|
queueKey: errorQueueKey,
|
|
redisIntegration,
|
|
handler: async (item) => {
|
|
if (!item?.value) {
|
|
throw new Error("Missing value in retry payload");
|
|
}
|
|
await handleMessage({ value: item.value });
|
|
}
|
|
}).catch((err) => {
|
|
logger.error("Retry worker failed", { error: err?.message });
|
|
});
|
|
const shutdown = async (signal) => {
|
|
logger.info(`Received ${signal}, shutting down...`);
|
|
try {
|
|
if (consumers && consumers.length > 0) {
|
|
await Promise.all(consumers.map((c) => new Promise((resolve) => c.close(true, resolve))));
|
|
logger.info("Kafka consumer closed", { count: consumers.length });
|
|
}
|
|
await redisClient.quit();
|
|
logger.info("Redis client closed");
|
|
await dbManager.close();
|
|
logger.info("Database connection closed");
|
|
process.exit(0);
|
|
} catch (err) {
|
|
logger.error("Error during shutdown", { error: err?.message });
|
|
process.exit(1);
|
|
}
|
|
};
|
|
process.on("SIGTERM", () => shutdown("SIGTERM"));
|
|
process.on("SIGINT", () => shutdown("SIGINT"));
|
|
};
|
|
bootstrap().catch((error) => {
|
|
logger.error("Service bootstrap failed", { error: error?.message });
|
|
process.exit(1);
|
|
});
|