refactor: migrate API keys to config, extend Kline intervals, add DB extensions
Security: - Move hardcoded Binance API key/secret from rest.ts to env.yaml (exchange config segment) - Add ExchangeConfig validation in config/validators.ts - Export typed exchange config from config/index.ts - Update AGENTS/07-caveats.md to reflect the new policy Kline intervals (add 3m / 2h / 6h / 8h / 1mon): - TypeScript: update KlineInterval type, KLINE_INTERVAL_MS mapping, build_aggregates_sql refresh chain - Python: sync KlineInterval Literal type, INTERVAL_TO_TABLE and INTERVAL_MS mappings, db_test table list - SQL: add 5 continuous aggregate materialized views (klines_3m/2h/6h/8h/1mon) with indexes - SQL: extend default kline_intervals in trading_pairs table - SQL: add cross-sectional query indexes for klines_1d and klines_1w DB: - Enable pg_prewarm extension (backtest warmup) - Enable pg_stat_statements extension (slow query monitoring) Other: - data/run/exchange.ts: graceful pgsql shutdown after backfill completes - Config path: load from data/env.yaml (symlink) instead of project root
This commit is contained in:
+26
-5
@@ -11,7 +11,7 @@
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// const ds = new DataSource({ ...pgsql });
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// const redisClient = new Redis(redis.url);
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//
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// 配置文件位置:<project_root>/env.yaml
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// 配置文件位置:data/env.yaml(软链接 → 项目根目录 env.yaml)
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// TypeScript / Python 模块共享同一份配置。
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// ============================================================
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@@ -39,12 +39,14 @@ function getProjectRoot(): string {
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}
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/**
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* 从项目根目录读取 env.yaml 并解析为原始对象。
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* 读取 data/env.yaml(软链接指向项目根目录 env.yaml)并解析为原始对象。
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* 文件不存在时抛出明确错误,不做静默降级。
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*/
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function loadYamlConfig(): unknown {
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const root = getProjectRoot();
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const yamlPath = resolve(root, "env.yaml");
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const __filename = fileURLToPath(import.meta.url);
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const __dirname = dirname(__filename);
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// config/index.ts → config/ → data/env.yaml
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const yamlPath = resolve(__dirname, "../env.yaml");
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let content: string;
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try {
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@@ -52,7 +54,7 @@ function loadYamlConfig(): unknown {
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} catch {
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throw new Error(
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`[config] 无法读取配置文件: ${yamlPath}\n` +
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`请确保项目根目录存在 env.yaml(可参考 data/.env.example 的结构)。`,
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`请确保 data/env.yaml 软链接指向项目根目录的 env.yaml。`,
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);
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}
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@@ -131,6 +133,19 @@ export const logging = {
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pretty: rawConfig.logging.node_env === "development",
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} as const;
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/**
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* 交易所 API 密钥配置
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*
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* 按交易所 ID 索引,目前仅 binance。
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* 新增交易所时在 env.yaml 的 exchange 段添加对应子配置即可。
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*/
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export const exchange = {
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binance: {
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apiKey: rawConfig.exchange.binance.api_key,
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apiSecret: rawConfig.exchange.binance.api_secret,
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},
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} as const;
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// ============================================================
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// 4. 工具:运行时打印配置概要(不含敏感信息)
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// ============================================================
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@@ -150,6 +165,12 @@ export function printConfigSummary(): void {
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url: redis.url.replace(/\/\/.*@/, "//***@"), // 隐藏密码
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publishEnabled: redis.publishEnabled,
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},
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exchange: {
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binance: {
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apiKey: exchange.binance.apiKey.slice(0, 6) + "***",
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apiSecret: "***",
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},
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},
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logging: {
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level: logging.level,
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nodeEnv: logging.nodeEnv,
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@@ -15,6 +15,7 @@
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export interface EnvConfig {
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db: DbConfig;
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redis: RedisConfig;
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exchange: ExchangeConfig;
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logging: LoggingConfig;
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}
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@@ -31,6 +32,18 @@ export interface RedisConfig {
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publish_enabled: boolean;
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}
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/** 交易所 API 密钥配置(按交易所 ID 索引) */
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export interface ExchangeConfig {
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binance: ExchangeApiKeys;
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// 未来扩展:okx、bybit 等
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[exchangeId: string]: ExchangeApiKeys | undefined;
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}
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export interface ExchangeApiKeys {
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api_key: string;
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api_secret: string;
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}
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export interface LoggingConfig {
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level: "trace" | "debug" | "info" | "warn" | "error" | "fatal";
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node_env: "development" | "production" | "test";
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@@ -77,6 +90,21 @@ export function validateConfig(raw: unknown): EnvConfig {
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const redisUrl = assertString(redisObj["url"], "redis.url");
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const redisPublishEnabled = assertBoolean(redisObj["publish_enabled"], "redis.publish_enabled");
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// --- exchange ---
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const exchange = obj["exchange"];
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if (typeof exchange !== "object" || exchange === null) {
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throw new Error("[config] env.yaml 缺少 exchange 配置段");
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}
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const exObj = exchange as Record<string, unknown>;
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const binance = exObj["binance"];
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if (typeof binance !== "object" || binance === null) {
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throw new Error("[config] env.yaml exchange 缺少 binance 配置");
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}
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const binanceObj = binance as Record<string, unknown>;
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const binanceApiKey = assertString(binanceObj["api_key"], "exchange.binance.api_key");
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const binanceApiSecret = assertString(binanceObj["api_secret"], "exchange.binance.api_secret");
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// --- logging ---
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const logging = obj["logging"];
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if (typeof logging !== "object" || logging === null) {
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@@ -99,6 +127,12 @@ export function validateConfig(raw: unknown): EnvConfig {
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url: redisUrl,
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publish_enabled: redisPublishEnabled,
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},
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exchange: {
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binance: {
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api_key: binanceApiKey,
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api_secret: binanceApiSecret,
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},
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},
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logging: {
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level: logLevel,
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node_env: nodeEnv,
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@@ -13,12 +13,18 @@
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-- - klines 基表由 02-init-tables.sql 创建为 TimescaleDB hypertable
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-- - 连续聚合视图由 03-continuous-aggregates.sql 创建
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-- - TypeORM 的 synchronize:true 与 SQL 脚本互为 fallback(开发/生产双路径)
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-- - 本脚本为 init-db 链的第一环,仅负责扩展启用
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-- - 本脚本为 init-db 链的第一环,负责扩展启用(TimescaleDB / pg_prewarm / pg_stat_statements)
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-- ============================================================
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-- 启用 TimescaleDB 扩展(必须最先执行)
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CREATE EXTENSION IF NOT EXISTS timescaledb CASCADE;
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-- 启用 pg_prewarm 扩展(回测预热,减少首轮查询延迟)
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CREATE EXTENSION IF NOT EXISTS pg_prewarm;
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-- 启用 pg_stat_statements 扩展(慢查询监控,零成本)
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CREATE EXTENSION IF NOT EXISTS pg_stat_statements;
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-- 验证扩展已启用
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DO $$
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BEGIN
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@@ -100,7 +100,7 @@ CREATE TABLE IF NOT EXISTS trading_pairs (
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kline_interval VARCHAR(100) NOT NULL DEFAULT '1m',
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-- K 线合成周期列表(逗号分隔,如 "1m,5m,15m,1h,4h,1d")
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kline_intervals VARCHAR(100) NOT NULL DEFAULT '1m,5m,15m,1h,4h,1d',
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kline_intervals VARCHAR(100) NOT NULL DEFAULT '1m,3m,5m,15m,30m,1h,2h,4h,6h,8h,1d,1w,1mon',
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-- 历史 K 线最后补全时间(UTC)。默认 Unix epoch 起始,
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-- 新交易对从 epoch 起始时间开始全量补拉。
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@@ -2,7 +2,7 @@
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-- 03-continuous-aggregates.sql — K 线分层连续聚合视图
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-- ============================================================
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-- 从 klines(1m)基表创建分层连续聚合物化视图链:
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-- 1m → 5m → 15m → 30m → 1h → 4h → 1d → 1w
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-- 1m → 3m → 5m → 15m → 30m → 1h → 2h → 4h → 6h → 8h → 1d → 1w → 1mon
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--
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-- 执行前提:
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-- 1. klines hypertable 已创建(由 02-init-tables.sql 创建)
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@@ -36,6 +36,37 @@
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-- 3. 接入实时数据(模式 A 启用 policy / 模式 B 应用层触发)
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-- ============================================================
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-- ============================================================
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-- 3m K 线(从 1m 基表聚合)
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-- ============================================================
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CREATE MATERIALIZED VIEW IF NOT EXISTS klines_3m
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('3 minutes', time) AS time,
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exchange,
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symbol,
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'3m'::text AS interval,
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FIRST(open, time) AS open,
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MAX(high) AS high,
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MIN(low) AS low,
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LAST(close, time) AS close,
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SUM(volume) AS volume,
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SUM(quote_volume) AS quote_volume,
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SUM(taker_buy_base_vol) AS taker_buy_base_vol,
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SUM(taker_buy_quote_vol) AS taker_buy_quote_vol,
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SUM(trade_count)::integer AS trade_count
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FROM klines
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GROUP BY time_bucket('3 minutes', klines.time), exchange, symbol
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WITH NO DATA;
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-- 【模式 A 用户】取消下面注释以启用定时调度刷新
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-- SELECT add_continuous_aggregate_policy('klines_3m',
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-- start_offset => INTERVAL '1 day',
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-- end_offset => INTERVAL '3 minutes',
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-- schedule_interval => INTERVAL '3 minutes',
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-- if_not_exists => TRUE
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-- );
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-- ============================================================
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-- 5m K 线(从 1m 基表聚合)
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-- ============================================================
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@@ -160,6 +191,37 @@ WITH NO DATA;
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-- if_not_exists => TRUE
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-- );
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-- ============================================================
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-- 2h K 线(从 1h 聚合,分层链)
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-- ============================================================
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CREATE MATERIALIZED VIEW IF NOT EXISTS klines_2h
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('2 hours', time) AS time,
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exchange,
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symbol,
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'2h'::text AS interval,
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FIRST(open, time) AS open,
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MAX(high) AS high,
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MIN(low) AS low,
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LAST(close, time) AS close,
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SUM(volume) AS volume,
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SUM(quote_volume) AS quote_volume,
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SUM(taker_buy_base_vol) AS taker_buy_base_vol,
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SUM(taker_buy_quote_vol) AS taker_buy_quote_vol,
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SUM(trade_count)::integer AS trade_count
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FROM klines_1h
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GROUP BY time_bucket('2 hours', klines_1h.time), exchange, symbol
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WITH NO DATA;
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-- 【模式 A 用户】取消下面注释以启用定时调度刷新
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-- SELECT add_continuous_aggregate_policy('klines_2h',
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-- start_offset => INTERVAL '10 days',
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-- end_offset => INTERVAL '2 hours',
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-- schedule_interval => INTERVAL '2 hours',
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-- if_not_exists => TRUE
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-- );
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-- ============================================================
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-- 4h K 线(从 1h 聚合,分层链)
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-- ============================================================
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@@ -191,6 +253,68 @@ WITH NO DATA;
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-- if_not_exists => TRUE
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-- );
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-- ============================================================
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-- 6h K 线(从 1h 聚合,分层链)
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-- ============================================================
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CREATE MATERIALIZED VIEW IF NOT EXISTS klines_6h
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('6 hours', time) AS time,
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exchange,
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symbol,
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'6h'::text AS interval,
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FIRST(open, time) AS open,
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MAX(high) AS high,
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MIN(low) AS low,
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LAST(close, time) AS close,
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SUM(volume) AS volume,
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SUM(quote_volume) AS quote_volume,
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SUM(taker_buy_base_vol) AS taker_buy_base_vol,
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SUM(taker_buy_quote_vol) AS taker_buy_quote_vol,
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SUM(trade_count)::integer AS trade_count
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FROM klines_1h
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GROUP BY time_bucket('6 hours', klines_1h.time), exchange, symbol
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WITH NO DATA;
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-- 【模式 A 用户】取消下面注释以启用定时调度刷新
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-- SELECT add_continuous_aggregate_policy('klines_6h',
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-- start_offset => INTERVAL '20 days',
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-- end_offset => INTERVAL '6 hours',
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-- schedule_interval => INTERVAL '6 hours',
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-- if_not_exists => TRUE
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-- );
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-- ============================================================
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-- 8h K 线(从 4h 聚合,分层链)
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-- ============================================================
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CREATE MATERIALIZED VIEW IF NOT EXISTS klines_8h
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('8 hours', time) AS time,
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exchange,
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symbol,
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'8h'::text AS interval,
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FIRST(open, time) AS open,
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MAX(high) AS high,
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MIN(low) AS low,
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LAST(close, time) AS close,
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SUM(volume) AS volume,
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SUM(quote_volume) AS quote_volume,
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SUM(taker_buy_base_vol) AS taker_buy_base_vol,
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SUM(taker_buy_quote_vol) AS taker_buy_quote_vol,
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SUM(trade_count)::integer AS trade_count
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FROM klines_4h
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GROUP BY time_bucket('8 hours', klines_4h.time), exchange, symbol
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WITH NO DATA;
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-- 【模式 A 用户】取消下面注释以启用定时调度刷新
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-- SELECT add_continuous_aggregate_policy('klines_8h',
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-- start_offset => INTERVAL '30 days',
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-- end_offset => INTERVAL '8 hours',
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-- schedule_interval => INTERVAL '8 hours',
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-- if_not_exists => TRUE
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-- );
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-- ============================================================
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-- 1d K 线(从 4h 聚合,分层链)
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-- ============================================================
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@@ -253,25 +377,75 @@ WITH NO DATA;
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-- if_not_exists => TRUE
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-- );
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-- ============================================================
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-- 1mon K 线(从 1d 聚合,分层链)
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-- ============================================================
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CREATE MATERIALIZED VIEW IF NOT EXISTS klines_1mon
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WITH (timescaledb.continuous) AS
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SELECT
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time_bucket('1 month', time) AS time,
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exchange,
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symbol,
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'1mon'::text AS interval,
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FIRST(open, time) AS open,
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MAX(high) AS high,
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MIN(low) AS low,
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LAST(close, time) AS close,
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SUM(volume) AS volume,
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SUM(quote_volume) AS quote_volume,
|
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SUM(taker_buy_base_vol) AS taker_buy_base_vol,
|
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SUM(taker_buy_quote_vol) AS taker_buy_quote_vol,
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SUM(trade_count)::integer AS trade_count
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FROM klines_1d
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GROUP BY time_bucket('1 month', klines_1d.time), exchange, symbol
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WITH NO DATA;
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-- 【模式 A 用户】取消下面注释以启用定时调度刷新
|
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-- SELECT add_continuous_aggregate_policy('klines_1mon',
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-- start_offset => INTERVAL '365 days',
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-- end_offset => INTERVAL '1 day',
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-- schedule_interval => INTERVAL '1 day',
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-- if_not_exists => TRUE
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-- );
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||||
-- ============================================================
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||||
-- 推荐索引:加速按 symbol + time 的查询
|
||||
-- ============================================================
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CREATE INDEX IF NOT EXISTS idx_klines_3m_symbol_time ON klines_3m (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_5m_symbol_time ON klines_5m (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_15m_symbol_time ON klines_15m (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_30m_symbol_time ON klines_30m (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_1h_symbol_time ON klines_1h (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_2h_symbol_time ON klines_2h (exchange, symbol, time DESC);
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CREATE INDEX IF NOT EXISTS idx_klines_4h_symbol_time ON klines_4h (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_6h_symbol_time ON klines_6h (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_8h_symbol_time ON klines_8h (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_1d_symbol_time ON klines_1d (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_1w_symbol_time ON klines_1w (exchange, symbol, time DESC);
|
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CREATE INDEX IF NOT EXISTS idx_klines_1mon_symbol_time ON klines_1mon (exchange, symbol, time DESC);
|
||||
|
||||
-- ============================================================
|
||||
-- 截面查询索引:加速同一时间点多品种回测查询
|
||||
-- 查询模式:WHERE exchange='binance' AND time='2024-01-01' AND symbol IN (…)
|
||||
-- 回测中跨品种截面查询最常见于日线和周线,因此只在这两层建额外索引。
|
||||
-- 如需其他周期(如 1h、4h)的截面查询,按同样模式扩展。
|
||||
-- ============================================================
|
||||
CREATE INDEX IF NOT EXISTS idx_klines_1d_exchange_time_symbol ON klines_1d (exchange, time DESC, symbol);
|
||||
CREATE INDEX IF NOT EXISTS idx_klines_1w_exchange_time_symbol ON klines_1w (exchange, time DESC, symbol);
|
||||
|
||||
-- ============================================================
|
||||
-- 首次创建后手动刷新所有视图(填充历史数据)
|
||||
-- 取消注释以下行执行:
|
||||
-- ============================================================
|
||||
-- CALL refresh_continuous_aggregate('klines_3m', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_5m', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_15m', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_30m', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_1h', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_2h', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_4h', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_6h', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_8h', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_1d', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_1w', NULL, NULL);
|
||||
-- CALL refresh_continuous_aggregate('klines_1mon', NULL, NULL);
|
||||
|
||||
@@ -1,19 +1,25 @@
|
||||
import { MainClient, type Kline as BinanceRestKline } from "binance";
|
||||
|
||||
import { logger } from "../utils/logger";
|
||||
import { exchange } from "../config";
|
||||
import { BaseRestClient } from './base_rest';
|
||||
import type { KlineInterval, Kline, MarketInfo } from '../types';
|
||||
|
||||
/** K 线周期 → 毫秒数映射(用于时间桶计算) */
|
||||
export const KLINE_INTERVAL_MS: Record<KlineInterval, number> = {
|
||||
"1m": 60_000,
|
||||
"3m": 180_000,
|
||||
"5m": 300_000,
|
||||
"15m": 900_000,
|
||||
"30m": 1_800_000,
|
||||
"1h": 3_600_000,
|
||||
"2h": 7_200_000,
|
||||
"4h": 14_400_000,
|
||||
"6h": 21_600_000,
|
||||
"8h": 28_800_000,
|
||||
"1d": 86_400_000,
|
||||
"1w": 604_800_000,
|
||||
"1mon": 2_592_000_000,
|
||||
};
|
||||
|
||||
// ============================================================
|
||||
@@ -102,8 +108,8 @@ async function fetchBinanceKlines(
|
||||
limit = 500,
|
||||
): Promise<Kline[]> {
|
||||
const client = new MainClient({
|
||||
api_key: 'ONSJKIGRpDYLn6FdV17aAKfjclZ4I2LzamflhuMpsoRQA427lLKeyJlGtg2RZ7DH',
|
||||
api_secret: '5Mfv4TgvDlRzCHbtl2nJL4mVHUvMm8pyjKiRjMoosBMxrhlqMw6CuQbg2qbS2Npd',
|
||||
api_key: exchange.binance.apiKey,
|
||||
api_secret: exchange.binance.apiSecret,
|
||||
}, {
|
||||
timeout: 3000,
|
||||
});
|
||||
|
||||
@@ -3,8 +3,8 @@
|
||||
// ============================================================
|
||||
// 用途:
|
||||
// 按月份粒度逐月刷新 klines 分层连续聚合物化视图链:
|
||||
// 5m → 15m → 30m → 1h → 4h → 1d → 1w
|
||||
// 每层依赖下一层的数据,因此严格按从低到高顺序刷新。
|
||||
// 基表 1m → 3m / 5m → 15m → 30m → 1h → 2h / 4h / 6h → 8h / 1d → 1w / 1mon
|
||||
// 严格按依赖顺序从低到高刷新。
|
||||
//
|
||||
// 使用方式:
|
||||
// # 仅生成 SQL 不执行(dry-run,默认)
|
||||
@@ -36,18 +36,26 @@ import { logger } from "../utils/logger";
|
||||
/**
|
||||
* 分层聚合视图链(按依赖顺序:低层级 → 高层级)
|
||||
*
|
||||
* 刷新顺序至关重要:
|
||||
* klines_5m 源数据来自 klines(1m 基表)
|
||||
* klines_15m 源数据来自 klines_5m
|
||||
* klines_30m 源数据来自 klines_15m
|
||||
* klines_1h 源数据来自 klines_30m
|
||||
* klines_4h 源数据来自 klines_1h
|
||||
* klines_1d 源数据来自 klines_4h
|
||||
* klines_1w 源数据来自 klines_1d
|
||||
* 实际依赖关系(来自于 03-continuous-aggregates.sql):
|
||||
* 基表 1m
|
||||
* ├── 3m (直接聚合 1m)
|
||||
* └── 5m (直接聚合 1m)→ 15m → 30m → 1h ──→ 2h
|
||||
* ├── 4h ──→ 8h
|
||||
* │ └── 1d ──→ 1w
|
||||
* │ └── 1mon
|
||||
* └── 6h
|
||||
*
|
||||
* 必须严格按此顺序刷新,否则高层级聚合会缺少数据。
|
||||
* 刷新时必须严格按此顺序,因为:
|
||||
* - klines_3m / klines_5m 无聚合依赖,可最先刷新
|
||||
* - klines_15m 依赖 klines_5m
|
||||
* - klines_30m 依赖 klines_15m
|
||||
* - klines_1h 依赖 klines_30m
|
||||
* - klines_2h / klines_4h / klines_6h 依赖 klines_1h
|
||||
* - klines_8h / klines_1d 依赖 klines_4h
|
||||
* - klines_1w / klines_1mon 依赖 klines_1d
|
||||
*/
|
||||
const AGGREGATE_VIEWS = [
|
||||
"klines_3m",
|
||||
"klines_5m",
|
||||
"klines_15m",
|
||||
"klines_30m",
|
||||
@@ -55,8 +63,10 @@ const AGGREGATE_VIEWS = [
|
||||
"klines_2h",
|
||||
"klines_4h",
|
||||
"klines_6h",
|
||||
"klines_8h",
|
||||
"klines_1d",
|
||||
"klines_1w",
|
||||
"klines_1mon",
|
||||
] as const;
|
||||
|
||||
/** 默认起始年月 */
|
||||
|
||||
+10
-1
@@ -41,4 +41,13 @@ for (const pair of allPairs) {
|
||||
} catch (err) {
|
||||
console.error("拉取失败:", err);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 所有币种回补完成以后等待1秒关闭pgsql连接退出此进程
|
||||
await new Promise((resolve) => setTimeout(resolve, 1000));
|
||||
const { AppDataSource } = await import("../db/data-source");
|
||||
if (AppDataSource.isInitialized) {
|
||||
await AppDataSource.destroy();
|
||||
console.log("pgsql 连接已关闭");
|
||||
}
|
||||
process.exit(0);
|
||||
+6
-1
@@ -1,10 +1,15 @@
|
||||
/** K 线周期枚举 */
|
||||
export type KlineInterval =
|
||||
| "1m"
|
||||
| "3m"
|
||||
| "5m"
|
||||
| "15m"
|
||||
| "30m"
|
||||
| "1h"
|
||||
| "2h"
|
||||
| "4h"
|
||||
| "6h"
|
||||
| "8h"
|
||||
| "1d"
|
||||
| "1w";
|
||||
| "1w"
|
||||
| "1mon";
|
||||
|
||||
Reference in New Issue
Block a user