feat: 初始化临时项目管理项目结构及核心功能

- 新增项目根目录及配置文件,包括 .gitignore、.env.example 和 package.json
- 实现数据库连接池、配置加载、日志记录和 HTTP 客户端工具
- 添加数据服务层,支持酒店、房间、房型和回路数据的批量事务处理
- 创建主脚本,实现分阶段数据获取、处理和存储流程
- 提供数据库初始化脚本和测试用例
- 添加项目文档,包括 README.md 和项目需求说明
This commit is contained in:
2026-02-02 09:10:53 +08:00
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/temporary_project_management/node_modules
temporary_project_management/logs

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## 任务概览
根据 [.env](file:///e:/Project_Class/BLS/Web_BLS_SQL/.env) 的配置和 [project.md](file:///e:/Project_Class/BLS/Web_BLS_SQL/project.md) 中的需求,创建 PostgreSQL 数据库初始化脚本。该脚本将包含数据库创建、模式Schema定义、以及 `room_status_moment` 表的详细设计。
## 技术要点分析
1. **高性能读写**:针对高频查询和写入,我们将为关键字段(如 `hotel_id`, `room_id`, `device_id`, `guid` 等)建立索引。
2. **并发处理**:使用复合主键 `(hotel_id, room_id, device_id, guid)` 来确保数据的唯一性,并利用 PostgreSQL 的 `ON CONFLICT` 特性处理并发写入冲突。
3. **后期规划(分片存储)**
* 虽然目前数据量预计在十万级别,但为了后期扩展,我们将采用 **PostgreSQL 原生声明式分区Declarative Partitioning**
* 按照 `hotel_id` 进行 `LIST` 分区,方便后期根据酒店 ID 将数据分布到不同的物理存储或分表中。
4. **字段类型优化**
* `guid`: 使用 `uuid` 类型,存储空间更小且索引效率高。
* `ts_ms`: 使用 `timestamptz` (timestamp with time zone) 确保时区正确。
## 实施步骤
1. **创建初始化 SQL 文件**:在根目录下创建 `init_db.sql`
2. **编写 SQL 内容**
* 创建模式 `room_status`
* 定义 `room_status_moment` 主表,并配置分区规则。
* 创建索引以支持快速检索。
* 添加必要的注释以提高可维护性。
3. **验证脚本**:检查 SQL 语法是否符合 PostgreSQL 规范。
请确认以上计划,完成后我将直接生成 SQL 文件。

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PORT=3000
DB_FILE=./local.db
API_BASE_URL=http://www.boonlive-rcu.com:7000/api/values
PORT=3000
# 数据库配置
POSTGRES_HOST=10.8.8.109
POSTGRES_PORT=5433
POSTGRES_DATABASE=log_platform
POSTGRES_USER=log_admin
POSTGRES_PASSWORD=YourActualStrongPasswordForPostgres!
POSTGRES_MAX_CONNECTIONS=6
POSTGRES_IDLE_TIMEOUT_MS=30000

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-- ============================================================================
-- 数据库初始化脚本
-- 描述:创建 log_platform 库逻辑参考、room_status 模式及 room_status_moment 分区表
-- 对应项目需求project.md #L57-65
-- ============================================================================
-- 注意:在 PostgreSQL 中CREATE DATABASE 不能在事务块中执行。
-- 通常建议先手动创建数据库,然后再执行后续脚本。
-- CREATE DATABASE log_platform;
-- 切换到 log_platform 数据库后执行以下内容:
-- 1. 创建模式
CREATE SCHEMA IF NOT EXISTS room_status;
-- 2. 创建主表 (使用声明式分区)
-- 根据需求 L57-65考虑后期十万级以上数据的扩展按 hotel_id 进行 LIST 分区
CREATE TABLE IF NOT EXISTS room_status.room_status_moment (
-- 基础标识字段
guid UUID NOT NULL,
ts_ms INT8 NOT NULL DEFAULT (EXTRACT(EPOCH FROM CURRENT_TIMESTAMP) * 1000)::BIGINT,
hotel_id INT2 NOT NULL,
room_id TEXT NOT NULL,
device_id TEXT NOT NULL,
-- 设备状态字段
sys_lock_status INT2,
online_status INT2,
launcher_version TEXT,
app_version TEXT,
config_version TEXT,
register_ts_ms INT8,
upgrade_ts_ms INT8,
config_ts_ms INT8,
ip TEXT,
-- 房间业务状态字段
pms_status INT2,
power_state INT2,
cardless_state INT2,
service_mask INT8,
insert_card INT2,
-- 空调相关
air_address TEXT[],
air_state INT2,
air_model INT2,
air_speed INT2,
air_set_temp INT2,
air_now_temp INT2,
air_solenoid_valve INT2,
-- 能耗相关
elec_address TEXT[],
elec_voltage DOUBLE PRECISION,
elec_ampere DOUBLE PRECISION,
elec_power DOUBLE PRECISION,
elec_phase TEXT,
elec_energy DOUBLE PRECISION,
elec_sum_energy DOUBLE PRECISION,
-- 节能与外设
carbon_state INT2,
dev_loops JSONB,
energy_carbon_sum DOUBLE PRECISION,
energy_nocard_sum DOUBLE PRECISION,
external_device JSONB DEFAULT '{}',
faulty_device_count JSONB DEFAULT '{}',
-- 约束:分区表的主键必须包含分区键 (hotel_id)
PRIMARY KEY (hotel_id, room_id, device_id, guid)
) PARTITION BY LIST (hotel_id);
-- 3. 创建索引 (针对高频查询字段)
-- 注意:在分区表上创建索引会自动在所有子表上创建对应的索引
CREATE INDEX IF NOT EXISTS idx_room_status_moment_hotel_room ON room_status.room_status_moment (hotel_id, room_id);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_device_id ON room_status.room_status_moment (device_id);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_sys_lock ON room_status.room_status_moment (sys_lock_status);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_online ON room_status.room_status_moment (online_status);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_pms ON room_status.room_status_moment (pms_status);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_power ON room_status.room_status_moment (power_state);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_cardless ON room_status.room_status_moment (cardless_state);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_insert_card ON room_status.room_status_moment (insert_card);
CREATE INDEX IF NOT EXISTS idx_room_status_moment_carbon ON room_status.room_status_moment (carbon_state);
-- 4. 示例:创建第一个分区 (hotel_id = 1)
-- 实际部署时,可根据 hotel_id 动态创建分区
CREATE TABLE IF NOT EXISTS room_status.room_status_moment_h1
PARTITION OF room_status.room_status_moment
FOR VALUES IN (1);
-- 5. 添加表和字段注释
COMMENT ON TABLE room_status.room_status_moment IS '房间即时状态表 - 记录设备及房间业务的最新实时状态';
COMMENT ON COLUMN room_status.room_status_moment.guid IS '主键 guid uuid 32位无符号UUID';
COMMENT ON COLUMN room_status.room_status_moment.ts_ms IS '最后更新时间';
COMMENT ON COLUMN room_status.room_status_moment.hotel_id IS '酒店';
COMMENT ON COLUMN room_status.room_status_moment.room_id IS '房间';
COMMENT ON COLUMN room_status.room_status_moment.device_id IS '设备编号';
COMMENT ON COLUMN room_status.room_status_moment.sys_lock_status IS '系统锁状态';
COMMENT ON COLUMN room_status.room_status_moment.online_status IS '设备在线状态';
COMMENT ON COLUMN room_status.room_status_moment.launcher_version IS '设备launcher版本';
COMMENT ON COLUMN room_status.room_status_moment.app_version IS '设备App版本';
COMMENT ON COLUMN room_status.room_status_moment.config_version IS '设备配置版本';
COMMENT ON COLUMN room_status.room_status_moment.register_ts_ms IS '最后一次注册时间';
COMMENT ON COLUMN room_status.room_status_moment.upgrade_ts_ms IS '最后一次升级时间';
COMMENT ON COLUMN room_status.room_status_moment.config_ts_ms IS '最后一次下发配置时间';
COMMENT ON COLUMN room_status.room_status_moment.ip IS '当前公网IP地址';
COMMENT ON COLUMN room_status.room_status_moment.pms_status IS 'PMS状态';
COMMENT ON COLUMN room_status.room_status_moment.power_state IS '取电状态';
COMMENT ON COLUMN room_status.room_status_moment.cardless_state IS '有、无人状态';
COMMENT ON COLUMN room_status.room_status_moment.service_mask IS '服务状态';
COMMENT ON COLUMN room_status.room_status_moment.insert_card IS '插卡状态';
COMMENT ON COLUMN room_status.room_status_moment.air_address IS '空调地址';
COMMENT ON COLUMN room_status.room_status_moment.air_state IS '空调状态';
COMMENT ON COLUMN room_status.room_status_moment.air_model IS '空调模型';
COMMENT ON COLUMN room_status.room_status_moment.air_speed IS '空调风速';
COMMENT ON COLUMN room_status.room_status_moment.air_set_temp IS '空调设置温度';
COMMENT ON COLUMN room_status.room_status_moment.air_now_temp IS '房间当前温度';
COMMENT ON COLUMN room_status.room_status_moment.air_solenoid_valve IS '空调电磁阀状态';
COMMENT ON COLUMN room_status.room_status_moment.elec_address IS '能耗表地址';
COMMENT ON COLUMN room_status.room_status_moment.elec_voltage IS '能耗表电压';
COMMENT ON COLUMN room_status.room_status_moment.elec_ampere IS '能耗表电流';
COMMENT ON COLUMN room_status.room_status_moment.elec_power IS '能耗表功率';
COMMENT ON COLUMN room_status.room_status_moment.elec_phase IS '当前相位';
COMMENT ON COLUMN room_status.room_status_moment.elec_energy IS '能耗表能耗';
COMMENT ON COLUMN room_status.room_status_moment.elec_sum_energy IS '能耗表累计能耗';
COMMENT ON COLUMN room_status.room_status_moment.carbon_state IS '碳达人状态';
COMMENT ON COLUMN room_status.room_status_moment.dev_loops IS '回路状态';
COMMENT ON COLUMN room_status.room_status_moment.energy_carbon_sum IS '碳达人节能累计';
COMMENT ON COLUMN room_status.room_status_moment.energy_nocard_sum IS '无卡节能累计';
COMMENT ON COLUMN room_status.room_status_moment.external_device IS '外设设备管理(数组)';
COMMENT ON COLUMN room_status.room_status_moment.faulty_device_count IS '故障设备数量';

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1. 房间即时状态表
- 这张表需要时刻更新,以反映房间的最新状态
- 这张表的查询频率较高,需要建立索引以提高查询效率
- 这张表的写入频率较高,需要考虑写入性能
- 这张表的数据量较大预计会有十万条左右的记录总数可以根据hotel_id进行分片存储
- 这张表可能会被同时查询和写入,需要考虑并发性能
- 这张表的写入操作主要是INSERT和UPDATE操作根据主键进行写入
- 这张表的查询操作主要是SELECT操作根据主键进行查询
- 这张表的写入操作可能会由多个线程同时进行,设计表的时候需要考虑并发性能和写入冲突问题
2. 数据表规划 (如果没有特殊说明,所有字段均为可空)
- 数据库属性:
- 库名log_platform
- 模式room_status
- 表名room_status_moment
- 数据库字段:
- 主键 guid uuid 32位无符号UUID (不可为空)
- 最后更新时间 ts_ms int8 (Unix时间戳ms) (不可为空)
- 酒店 hotel_id int2 (索引) (不可为空)
- 房间 room_id text (索引) (不可为空)
- 设备编号 device_id text (索引) (不可为空)
- 系统锁状态 sys_lock_status int2 (索引)
- 设备在线状态 online_status int2 (索引)
- 设备launcher版本 launcher_version text
- 设备App版本 app_version text
- 设备配置版本 config_version text
- 最后一次注册时间 register_ts_ms int8 (Unix时间戳ms)
- 最后一次升级时间 upgrade_ts_ms int8 (Unix时间戳ms)
- 最后一次下发配置时间 config_ts_ms int8 (Unix时间戳ms)
- 当前公网IP地址 ip text
- PMS状态 pms_status int2 (索引)
- 取电状态 power_state int2 (索引)
- 有、无人状态 cardless_state int2 (索引)
- 服务状态 service_mask int8
- 插卡状态 insert_card int2 (索引)
- 空调地址 air_address text[]
- 空调状态 air_state int2
- 空调模型 air_model int2
- 空调风速 air_speed int2
- 空调设置温度 air_set_temp int2
- 房间当前温度 air_now_temp int2
- 空调电磁阀状态 air_solenoid_valve int2
- 能耗表地址 elec_address text[]
- 能耗表电压 elec_voltage double precision
- 能耗表电流 elec_ampere double precision
- 能耗表功率 elec_power double precision
- 当前相位 elec_phase text
- 能耗表能耗 elec_energy double precision
- 能耗表累计能耗 elec_sum_energy double precision
- 碳达人状态 carbon_state int2 (索引)
- 回路状态 dev_loops jsonb
- 碳达人节能累计 energy_carbon_sum double precision
- 无卡节能累计 energy_nocard_sum double precision
- 外设设备管理(数组) external_device jsonb 预留字段暂时为空json
- 故障设备数量 faulty_device_count jsonb 预留字段暂时为空json
主键hotel_id, room_id, device_id, guid

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PORT=3000
DB_FILE=./local.db
API_BASE_URL=http://www.boonlive-rcu.com:7000/api/values
PORT=3000
# 数据库配置 (废弃)
#废弃DB_HOST=10.8.8.109
#废弃DB_PORT=5433
#废弃DB_USER=log_admin
#废弃DB_PASSWORD=YourActualStrongPasswordForPostgres!
#废弃DB_NAME=log_platform
# 数据库配置
POSTGRES_HOST=10.8.8.109
POSTGRES_PORT=5433
POSTGRES_DATABASE=log_platform
POSTGRES_USER=log_admin
POSTGRES_PASSWORD=YourActualStrongPasswordForPostgres!
POSTGRES_MAX_CONNECTIONS=2
POSTGRES_IDLE_TIMEOUT_MS=30000
# 启用的酒店ID列表
ENABLED_HOTEL_IDS=1085,2100-2316
# 接口启用配置 (true/false)
ENABLE_API_HOTEL_LIST=false # 酒店列表
ENABLE_API_HOST_LIST=false # 房间列表
ENABLE_API_ROOM_TYPE_INFO=false # 房型列表
ENABLE_API_ROOM_TYPE_MODAL_INFO=false # 回路列表

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PORT=3000
DB_FILE=./local.db
ENABLED_HOTEL_IDS=1085,2144
API_BASE_URL=http://www.boonlive-rcu.com:7000/api/values

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# Temporary Project Management
This is a local Node.js project for fetching hotel data and loop addresses, managing them in a local SQLite database.
## Prerequisites
- Node.js (v14+ recommended)
- npm
## Installation
1. Clone or navigate to the project directory.
2. Install dependencies:
```bash
npm install
```
3. Copy `.env.example` to `.env` and configure:
```bash
cp .env.example .env
```
(On Windows: `copy .env.example .env`)
## Configuration (.env)
- `PORT`: App port (default 3000)
- `DB_FILE`: Path to SQLite database file (default `./local.db`)
- `ENABLED_HOTEL_IDS`: Comma-separated list of Hotel IDs to fetch loops for (e.g., `1085,2144`)
- `API_BASE_URL`: Base URL for external APIs
## Usage
- **Development Mode** (with hot reload):
```bash
npm run dev
```
- **Start Production**:
```bash
npm start
```
- **Run Tests**:
```bash
npm test
```
## Project Structure
- `src/config`: Configuration loading
- `src/db`: Database connection and schema initialization
- `src/services`: Business logic for fetching and saving data
- `src/utils`: Helpers (Logger, HTTP client with retry/delay)
- `src/scripts`: Main entry point
## Troubleshooting
- **Database Locks**: If you encounter `SQLITE_BUSY`, ensure no other process (like a DB viewer) has the file open. The app handles some concurrency but file locks can block it.
- **API Timeouts**: If the API is slow, the app is configured with a 100s timeout and 2 retries. Check your network connection.
- **Logs**: Check `logs/` directory for daily application logs and error snapshots.

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{
"name": "temporary_project_management",
"version": "1.0.0",
"description": "",
"main": "src/scripts/main.js",
"scripts": {
"start": "node src/scripts/main.js",
"dev": "nodemon src/scripts/main.js",
"init-db": "node src/scripts/init_only.js",
"test": "jest"
},
"keywords": [],
"author": "",
"license": "ISC",
"dependencies": {
"axios": "^1.6.0",
"dotenv": "^16.0.0",
"pg": "^8.0.0",
"pino": "^8.0.0",
"uuid": "^9.0.0"
},
"devDependencies": {
"jest": "^29.0.0",
"nodemon": "^3.0.0",
"pino-pretty": "^10.0.0"
}
}

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# 1. 酒店即时状态表
- 这个模式需要分4张表
- 酒店表hotels
- 房间表rooms
- 房型表room_type
- 回路表loops
- 模式名temporary_project
## 1.1 酒店表hotels
- 表主键guid32位无符号uuid。
- 酒店codehotel_id酒店的唯一标识符。int *索引* {对应接口返回的hotelCode}
- 名称hotel_name酒店的名称。varchar(255) *索引* {对应接口返回的hotelName}
- 酒店IDid酒店的ID。int *索引* {对应接口返回的hotelID}
-- 主键hotel_id, guid
-- 接口返回的数据结构:{"hotelID":"1","hotelCode":"1001","hotelName":"默认酒店"}
## 1.2 房间表rooms
- 表主键guid32位无符号uuid。
- 酒店IDhotel_id引用酒店表的酒店ID。int *索引* {对应接口返回的hotelID}
- 房间名称room_id房间的名称。varchar(255) {对应接口返回的roomNumber}
- 房型IDroom_type_id房间的房型IDid。int {对应接口返回的roomTypeID}
- 主机编号device_id房间的主机编号。varchar(50) *索引* {对应接口返回的hostNumber}
- mac地址mac房间的mac地址。varchar(50) *索引* {对应接口返回的mac}
- 房间IDid房间的ID。int *索引* {对应接口返回的id} *索引*
-- 主键guid, hotel_id, room_id
-- 接口返回的数据结构:{"id":"53","hotelID":"6","roomTypeID":"18","roomNumber":"320","hostNumber":"238003002090","mac":"34-D0-B8-1F-02-5A"},
## 1.3 房型表room_type
- 表主键guid32位无符号uuid。
- 房型IDid房型的ID。int *索引* {对应接口返回的id}
- 名称room_type_name房型的名称。varchar(255) *索引* {对应接口返回的roomTypeName}
- 酒店IDhotel_id引用酒店表的酒店IDid。int *索引* {对应接口返回的hotelID}
-- 主键guid, id
-- 接口返回的数据结构:{"id":"220","hotelID":"10","roomTypeName":"语音双人间"}
## 1.4 回路表loops
- 表主键guid32位无符号uuid。
- 回路IDid回路的唯一标识符。int *索引* {对应接口返回的id}
- 名称loop_name回路的名称。varchar(255) *索引* {对应接口返回的name}
- 房型IDroom_type_id引用房型表的房型IDid。int *索引* {对应接口返回的roomTypeID}
- 回路地址loop_address回路的地址。varchar(255) *索引* {对应接口返回的modalAddress}
- 回路类型loop_type回路的类型。varchar(50) *索引* {对应接口返回的type}
-- 主键guid, id
-- 接口返回的数据结构: {"id": "273","roomTypeID": "2","modalAddress": "015001010","type": "15","name": "向右开关"}
# 这4张表的对应关系是
- 一个酒店对应若干房间通过酒店ID一个房间对应一个房型通过房型ID一个房型对应若干回路通过回路ID
# 注意事项:
- 这个数据库是PostgreSQL数据库。
- 由于房间表和回路表的数据量非常大所以要用分区表来优化查询分别按照酒店ID和房型ID使用PARTITION BY LIST的方式来分区。
# 接口
urlhttp://www.boonlive-rcu.com:7000/api/values
/GetHotelList 获取酒店 get请求
/GetHostList 获取主机 get请求
/GetRoomType_Info 获取房型 get请求
/GetRoomType_ModalInfo 获取房型 设备表 post请求
- 参数room_type_id[] 数组每个元素为一个房型ID

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require('dotenv').config();
module.exports = {
port: process.env.PORT || 3000,
dbConfig: {
host: process.env.POSTGRES_HOST || '10.8.8.109',
port: parseInt(process.env.POSTGRES_PORT, 10) || 5433,
database: process.env.POSTGRES_DATABASE || 'log_platform',
user: process.env.POSTGRES_USER || 'log_admin',
password: process.env.POSTGRES_PASSWORD || 'YourActualStrongPasswordForPostgres!',
max: parseInt(process.env.POSTGRES_MAX_CONNECTIONS, 10) || 6,
idleTimeoutMillis: parseInt(process.env.POSTGRES_IDLE_TIMEOUT_MS, 10) || 30000,
},
enabledHotelIds: parseHotelIds(process.env.ENABLED_HOTEL_IDS),
apiBaseUrl: process.env.API_BASE_URL || 'http://www.boonlive-rcu.com:7000/api/values',
apiToggles: {
hotelList: process.env.ENABLE_API_HOTEL_LIST !== 'false',
hostList: process.env.ENABLE_API_HOST_LIST !== 'false',
roomTypeInfo: process.env.ENABLE_API_ROOM_TYPE_INFO !== 'false',
roomTypeModalInfo: process.env.ENABLE_API_ROOM_TYPE_MODAL_INFO !== 'false',
}
};
function parseHotelIds(envVar) {
if (!envVar) return [];
const parts = envVar.split(',');
const ids = new Set();
parts.forEach(part => {
part = part.trim();
if (part.includes('-')) {
const [startStr, endStr] = part.split('-');
const start = parseInt(startStr.trim(), 10);
const end = parseInt(endStr.trim(), 10);
if (!isNaN(start) && !isNaN(end) && start <= end) {
for (let i = start; i <= end; i++) {
ids.add(i);
}
}
} else {
const num = parseInt(part, 10);
if (!isNaN(num)) {
ids.add(num);
}
}
});
return Array.from(ids).sort((a, b) => a - b);
}

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const { Pool } = require('pg');
const { dbConfig } = require('../config');
const logger = require('../utils/logger');
const pool = new Pool(dbConfig);
pool.on('error', (err, client) => {
logger.error({ err }, 'Unexpected error on idle client');
process.exit(-1);
});
pool.on('connect', () => {
logger.debug('New client connected to database');
});
module.exports = pool;

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const { query } = require('./utils');
const logger = require('../utils/logger');
const initDB = async () => {
try {
logger.info('Initializing database schema...');
// 1. Create Schema
await query('CREATE SCHEMA IF NOT EXISTS temporary_project');
// Set search path to ensure we use this schema by default
// Alternatively, prefix table names. I will prefix table names for clarity in definitions.
// 1.1 Hotels Table
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.hotels (
guid VARCHAR(32) PRIMARY KEY,
hotel_id INTEGER,
hotel_name VARCHAR(255),
id INTEGER
)
`);
// Indexes
await query(`CREATE INDEX IF NOT EXISTS idx_hotels_hotel_id ON temporary_project.hotels(hotel_id)`);
await query(`CREATE INDEX IF NOT EXISTS idx_hotels_hotel_name ON temporary_project.hotels(hotel_name)`);
await query(`CREATE INDEX IF NOT EXISTS idx_hotels_id ON temporary_project.hotels(id)`);
// 1.2 Rooms Table
// Requirement: Partition by LIST (hotel_id).
// To support PARTITION BY LIST, we need to declare it in the CREATE TABLE.
// And we must create partitions.
// For simplicity and robustness in this "temporary" project where hotel_ids might change or be many,
// creating a DEFAULT partition is essential.
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.rooms (
guid VARCHAR(32) NOT NULL,
hotel_id INTEGER,
room_id VARCHAR(255),
room_type_id INTEGER,
device_id VARCHAR(50),
mac VARCHAR(50),
id INTEGER
) PARTITION BY LIST (hotel_id)
`);
// Create Default Partition for Rooms
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.rooms_default PARTITION OF temporary_project.rooms DEFAULT
`);
// Note: Primary Key in partitioned table must include partition key.
// So PK cannot be just `guid`. It must be (guid, hotel_id).
// MD says "Table PK (guid)". This conflicts with Partitioning in Postgres.
// I will make (guid, hotel_id) the PK or just rely on GUID uniqueness logic in app and remove DB constraint if needed.
// But let's try to follow MD "Table PK: guid".
// If I must use Partitioning, I must include partition key in PK.
// So I will drop the PK constraint on just GUID if it existed (it's new table so ok).
// I will add a composite PK.
// Wait, MD says "PK: (guid, hotel_id, room_id)" for Rooms table?
// Let's check MD read earlier:
// "## 1.2 房间表rooms... -- 主键guid, hotel_id, room_id"
// Ah, MD *does* specify composite PK!
// "## 1.1 酒店表... -- 主键hotel_id, guid"
// "## 1.3 房型表... -- 主键guid, id"
// "## 1.4 回路表... -- 主键guid, id"
// So I should follow MD's PK definitions!
// My previous SQLite implementation just used `guid PRIMARY KEY`.
// I should fix this to match MD exactly now.
// Fix Hotels PK
// Drop old table if exists? No, user said "Check if exists".
// But switching from SQLite to PG means tables don't exist yet.
// Re-defining Hotels with composite PK
// Note: PG doesn't support changing PK easily if data exists, but this is init.
// Since we already ran `CREATE TABLE ... hotels (guid PRIMARY KEY)` above,
// I should correct the SQL string above before writing file.
// Let's rewrite the calls with correct PKs.
} catch (error) {
logger.error({ error }, 'Error initializing database schema');
throw error;
}
};
const initDB_Corrected = async () => {
try {
logger.info('Initializing database schema (PostgreSQL)...');
// 1. Create Schema
await query('CREATE SCHEMA IF NOT EXISTS temporary_project');
// 1.1 Hotels Table
// MD: 主键hotel_id, guid
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.hotels (
guid VARCHAR(32) NOT NULL,
hotel_id INTEGER NOT NULL,
hotel_name VARCHAR(255),
id INTEGER,
PRIMARY KEY (hotel_id, guid)
)
`);
await query(`CREATE INDEX IF NOT EXISTS idx_hotels_hotel_id ON temporary_project.hotels(hotel_id)`);
await query(`CREATE INDEX IF NOT EXISTS idx_hotels_hotel_name ON temporary_project.hotels(hotel_name)`);
await query(`CREATE INDEX IF NOT EXISTS idx_hotels_id ON temporary_project.hotels(id)`);
// 1.2 Rooms Table
// MD: 主键guid, hotel_id, room_id
// MD: Partition by hotel_id
// Partition key MUST be part of PK. `hotel_id` is in PK. Good.
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.rooms (
guid VARCHAR(32) NOT NULL,
hotel_id INTEGER NOT NULL,
room_id VARCHAR(255) NOT NULL,
room_type_id INTEGER,
device_id VARCHAR(50),
mac VARCHAR(50),
id INTEGER,
PRIMARY KEY (guid, hotel_id, room_id)
) PARTITION BY LIST (hotel_id)
`);
// Default Partition
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.rooms_default PARTITION OF temporary_project.rooms DEFAULT
`);
// Indexes
// Note: Indexes on partitioned tables are supported in PG 11+.
await query(`CREATE INDEX IF NOT EXISTS idx_rooms_hotel_id ON temporary_project.rooms(hotel_id)`);
await query(`CREATE INDEX IF NOT EXISTS idx_rooms_device_id ON temporary_project.rooms(device_id)`);
await query(`CREATE INDEX IF NOT EXISTS idx_rooms_mac ON temporary_project.rooms(mac)`);
await query(`CREATE INDEX IF NOT EXISTS idx_rooms_id ON temporary_project.rooms(id)`);
// 1.3 Room Types Table
// MD: 主键guid, id
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.room_type (
guid VARCHAR(32) NOT NULL,
id INTEGER NOT NULL,
room_type_name VARCHAR(255),
hotel_id INTEGER,
PRIMARY KEY (guid, id)
)
`);
await query(`CREATE INDEX IF NOT EXISTS idx_room_type_id ON temporary_project.room_type(id)`);
await query(`CREATE INDEX IF NOT EXISTS idx_room_type_name ON temporary_project.room_type(room_type_name)`);
await query(`CREATE INDEX IF NOT EXISTS idx_room_type_hotel_id ON temporary_project.room_type(hotel_id)`);
// 1.4 Loops Table
// MD: 主键guid, id
// MD: Partition by room_type_id
// Wait, if I partition by `room_type_id`, it MUST be in the PK.
// But MD says PK is (guid, id). `room_type_id` is NOT in PK.
// This is a conflict in MD or PG constraint.
// PostgreSQL requires the partition key to be part of the primary key.
// If I strictly follow MD PK, I cannot partition by room_type_id unless I add it to PK.
// Since "Project must be fully based on MD", and MD has conflicting instructions (PK vs Partitioning constraints in PG),
// I have to make a choice.
// Option A: Modify PK to include room_type_id.
// Option B: Skip partitioning for this table.
// Option C: Use `guid` only as logical PK but DB PK includes partition key.
// I will choose Option A (Include room_type_id in PK) because Partitioning is an explicit optimization requirement,
// and usually implies the PK should support it.
// Also `loops` table "data volume is very large", so partitioning is important.
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.loops (
guid VARCHAR(32) NOT NULL,
id INTEGER NOT NULL,
loop_name VARCHAR(255),
room_type_id INTEGER NOT NULL,
loop_address VARCHAR(255),
loop_type VARCHAR(50),
PRIMARY KEY (guid, id, room_type_id)
) PARTITION BY LIST (room_type_id)
`);
// Default Partition
await query(`
CREATE TABLE IF NOT EXISTS temporary_project.loops_default PARTITION OF temporary_project.loops DEFAULT
`);
await query(`CREATE INDEX IF NOT EXISTS idx_loops_id ON temporary_project.loops(id)`);
await query(`CREATE INDEX IF NOT EXISTS idx_loops_name ON temporary_project.loops(loop_name)`);
await query(`CREATE INDEX IF NOT EXISTS idx_loops_room_type_id ON temporary_project.loops(room_type_id)`);
await query(`CREATE INDEX IF NOT EXISTS idx_loops_address ON temporary_project.loops(loop_address)`);
await query(`CREATE INDEX IF NOT EXISTS idx_loops_type ON temporary_project.loops(loop_type)`);
logger.info('Database schema initialized successfully.');
} catch (error) {
logger.error({ error }, 'Error initializing database schema');
throw error;
}
};
module.exports = initDB_Corrected;

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const pool = require('./index');
const query = (text, params) => pool.query(text, params);
const getClient = () => pool.connect();
const close = () => pool.end();
module.exports = {
query,
getClient,
close,
pool
};

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const initDB = require('../db/init');
const { close } = require('../db/utils');
(async () => {
try {
await initDB();
console.log('Database initialized successfully.');
process.exit(0);
} catch (e) {
console.error('Database initialization failed:', e);
process.exit(1);
}
})();

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const initDB = require('../db/init');
const { concurrentFetch, queuedFetch } = require('../utils/http');
const { saveHotelsTransaction, saveRoomsTransaction, saveRoomTypesTransaction, saveLoopsTransaction } = require('../services/dataService');
const { enabledHotelIds, apiToggles } = require('../config');
const { parseApiEndpoints } = require('../utils/mdParser');
const logger = require('../utils/logger');
const fs = require('fs');
const path = require('path');
const { query, close } = require('../db/utils'); // Changed from db, all, close
const mdPath = path.resolve(__dirname, '../../../project1.md'); // Adjust relative path to e:\Project_Class\BLS\Web_BLS_SQL\project1.md
const endpoints = parseApiEndpoints(mdPath);
const stats = {
successHotels: 0,
failHotels: 0,
startTime: Date.now(),
endTime: 0
};
const main = async () => {
try {
logger.info('Starting Application...');
// Phase 1: Init
await initDB();
// Phase 2: Concurrent Data Fetch
logger.info(`Starting Phase 2: Global Data Fetching using endpoints from MD: ${JSON.stringify(endpoints)}`);
logger.info(`API Toggles: ${JSON.stringify(apiToggles)}`);
try {
// Helper to conditionally fetch or return empty array
const fetchIfEnabled = (enabled, fetchFn) => enabled ? fetchFn : Promise.resolve([]);
const [hotels, rooms, roomTypes] = await Promise.all([
fetchIfEnabled(apiToggles.hotelList, concurrentFetch(endpoints.getHotelList)),
fetchIfEnabled(apiToggles.hostList, concurrentFetch(endpoints.getHostList)),
fetchIfEnabled(apiToggles.roomTypeInfo, concurrentFetch(endpoints.getRoomTypeInfo))
]);
logger.info(`Fetched ${hotels.length} hotels, ${rooms.length} rooms, ${roomTypes.length} room types.`);
await saveHotelsTransaction(hotels);
await saveRoomsTransaction(rooms);
await saveRoomTypesTransaction(roomTypes);
logger.info('Phase 2 Completed: Data saved.');
} catch (error) {
logger.error({ error }, 'Phase 2 failed. Exiting.');
throw error;
}
// Phase 3: Loop Address Fetching
if (apiToggles.roomTypeModalInfo) {
logger.info('Starting Phase 3: Loop Address Fetching...');
logger.info(`Enabled Hotels: ${enabledHotelIds.join(', ')}`);
for (const hotelId of enabledHotelIds) {
try {
logger.info(`Processing Hotel ID: ${hotelId}`);
// Check existence using PG syntax ($1)
// ENABLED_HOTEL_IDS are Hotel Codes (mapped to hotel_id column), not internal IDs (id column).
// We need to find the internal ID to query room types.
const checkRes = await query('SELECT id FROM temporary_project.hotels WHERE hotel_id = $1', [hotelId]);
const hotelExists = checkRes.rows.length > 0;
if (!hotelExists) {
logger.warn(`Hotel Code ${hotelId} not found in database. Skipping.`);
stats.failHotels++;
continue;
}
const internalHotelId = checkRes.rows[0].id;
// Get Room Types for Hotel using internal ID
const roomTypesRes = await query('SELECT id FROM temporary_project.room_type WHERE hotel_id = $1', [internalHotelId]);
const roomTypeIds = roomTypesRes.rows.map(rt => rt.id);
if (roomTypeIds.length === 0) {
logger.warn(`No room types found for Hotel ID ${hotelId}.`);
stats.successHotels++;
continue;
}
logger.info(`Fetching loops for ${roomTypeIds.length} room types...`);
// POST to get loops using parsed endpoint
const loops = await queuedFetch(endpoints.getRoomTypeModalInfo, {
method: 'POST',
data: roomTypeIds
});
if (loops && Array.isArray(loops)) {
await saveLoopsTransaction(loops);
logger.info(`Saved ${loops.length} loops for Hotel ID ${hotelId}`);
} else {
logger.warn(`No loops returned for Hotel ID ${hotelId}`);
}
stats.successHotels++;
} catch (err) {
logger.error({ err, hotelId }, `Failed to process Hotel ID ${hotelId}`);
stats.failHotels++;
// 3.3 Ensure flow continues
}
}
} else {
logger.info('Phase 3 Skipped: Loop Address Fetching is disabled.');
}
// Phase 4: Finish
stats.endTime = Date.now();
const duration = stats.endTime - stats.startTime;
const summary = `All tasks completed. Success Hotels: ${stats.successHotels}, Failed Hotels: ${stats.failHotels}, Total Duration: ${duration}ms`;
logger.info(summary);
await close();
process.exit(0);
} catch (error) {
// Uncaught Exception Handling (4.3)
const logDir = path.join(process.cwd(), 'logs');
if (!fs.existsSync(logDir)) fs.mkdirSync(logDir);
const errorLogPath = path.join(logDir, `error-${Date.now()}.log`);
fs.writeFileSync(errorLogPath, error.stack || error.toString());
// Use console.error as logger might be broken or async
console.error('Fatal error occurred. Stack trace written to ' + errorLogPath);
process.exit(1);
}
};
main();

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const { v4: uuidv4 } = require('uuid');
const { getClient } = require('../db/utils');
const logger = require('../utils/logger');
// Generate 32-char UUID (no dashes)
const generateGuid = () => uuidv4().replace(/-/g, '');
const validateSchema = (data, requiredFields) => {
if (!data || !Array.isArray(data)) {
throw new Error('Invalid data format: expected array');
}
for (const item of data) {
for (const field of requiredFields) {
if (item[field] === undefined || item[field] === null) {
throw new Error(`Missing required field: ${field} in item ${JSON.stringify(item)}`);
}
}
}
};
// Generic Batch Saver with Transaction
// PostgreSQL allows `INSERT ... ON CONFLICT` which is better than Delete+Insert
// But for "Overwrite" logic with potential changing GUIDs (if we generate new ones), Delete+Insert is safer to clear old state?
// MD says "If data exists (by ID)... overwrite".
// If I delete and insert, I generate new GUIDs. This is fine as per my previous logic.
// However, in PG, `DELETE FROM table WHERE id IN (...)` is efficient.
// I'll stick to Delete + Insert within Transaction.
const saveEntitiesTransaction = async (tableName, data, deleteByField, deleteValueExtractor, insertQuery, insertParamsExtractor) => {
if (data.length === 0) return;
const client = await getClient();
try {
await client.query('BEGIN');
// 1. Delete existing
// Optimization: Batch delete?
// "DELETE FROM table WHERE id = $1" in loop is slow.
// "DELETE FROM table WHERE id IN (...)" is better.
// But ids might be many.
// Let's stick to loop for simplicity or use `UNNEST`.
// Given requirement "overwrite", simple loop delete is acceptable for this scale or use bulk delete.
// I will use individual statements for safety and simplicity in this "temporary" code,
// unless performance is critical (MD says data is large).
// For "large data", bulk operations are better.
// I will use `INSERT ... ON CONFLICT` if I can?
// But I generate new GUID.
// If I want to overwrite, I should really use `INSERT ... ON CONFLICT (id) DO UPDATE`.
// But my PK is `(guid, id...)`.
// ID is not unique constraint by itself in DB schema (PK is composite).
// I have indexes on `id`.
// To use ON CONFLICT, I need a unique constraint on `id`.
// I didn't add UNIQUE(id).
// So I must Delete then Insert.
for (const item of data) {
const deleteVal = deleteValueExtractor(item);
// Delete query: "DELETE FROM schema.table WHERE col = $1"
await client.query(`DELETE FROM temporary_project.${tableName} WHERE ${deleteByField} = $1`, [deleteVal]);
const params = insertParamsExtractor(item);
await client.query(insertQuery, params);
}
await client.query('COMMIT');
} catch (e) {
await client.query('ROLLBACK');
throw e;
} finally {
client.release();
}
};
const saveHotelsTransaction = async (data) => {
validateSchema(data, ['hotelID', 'hotelCode', 'hotelName']);
return saveEntitiesTransaction(
'hotels',
data,
'id',
item => item.hotelID,
'INSERT INTO temporary_project.hotels (guid, hotel_id, hotel_name, id) VALUES ($1, $2, $3, $4)',
item => [generateGuid(), item.hotelCode, item.hotelName, item.hotelID] // hotel_id = hotelCode
);
};
const saveRoomsTransaction = async (data) => {
validateSchema(data, ['id', 'hotelID', 'roomTypeID', 'roomNumber', 'hostNumber', 'mac']);
return saveEntitiesTransaction(
'rooms',
data,
'id',
item => item.id,
'INSERT INTO temporary_project.rooms (guid, hotel_id, room_id, room_type_id, device_id, mac, id) VALUES ($1, $2, $3, $4, $5, $6, $7)',
item => [generateGuid(), item.hotelID, item.roomNumber, item.roomTypeID, item.hostNumber, item.mac, item.id]
);
};
const saveRoomTypesTransaction = async (data) => {
validateSchema(data, ['id', 'hotelID', 'roomTypeName']);
return saveEntitiesTransaction(
'room_type',
data,
'id',
item => item.id,
'INSERT INTO temporary_project.room_type (guid, id, room_type_name, hotel_id) VALUES ($1, $2, $3, $4)',
item => [generateGuid(), item.id, item.roomTypeName, item.hotelID]
);
};
const saveLoopsTransaction = async (data) => {
validateSchema(data, ['id', 'roomTypeID', 'modalAddress', 'type', 'name']);
return saveEntitiesTransaction(
'loops',
data,
'id',
item => item.id,
'INSERT INTO temporary_project.loops (guid, id, loop_name, room_type_id, loop_address, loop_type) VALUES ($1, $2, $3, $4, $5, $6)',
item => [generateGuid(), item.id, item.name, item.roomTypeID, item.modalAddress, item.type]
);
};
module.exports = {
saveHotelsTransaction,
saveRoomsTransaction,
saveRoomTypesTransaction,
saveLoopsTransaction
};

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const axios = require('axios');
const { apiBaseUrl } = require('../config');
const logger = require('./logger');
const client = axios.create({
baseURL: apiBaseUrl,
timeout: 100000, // 100s
});
const sleep = (ms) => new Promise(resolve => setTimeout(resolve, ms));
const fetchWithRetry = async (url, options = {}, retries = 2, delay = 3000) => {
try {
const response = await client(url, options);
// API returns wrapped object { isok: true, response: [...] }
if (response.data && response.data.response && Array.isArray(response.data.response)) {
return response.data.response;
}
return response.data;
} catch (error) {
if (retries > 0) {
logger.warn(`Request failed to ${url}, retrying in ${delay}ms... (${retries} retries left)`);
await sleep(delay);
return fetchWithRetry(url, options, retries - 1, delay);
}
throw error;
}
};
// Queue for sequential requests (Requirement 1.3)
let promiseChain = Promise.resolve();
const queuedFetch = (url, options = {}) => {
const task = promiseChain.then(async () => {
try {
const result = await fetchWithRetry(url, options);
return result;
} finally {
await sleep(1000); // Wait 1s after return
}
});
// Ensure chain continues even if task fails
promiseChain = task.catch(() => {});
return task;
};
// Concurrent fetch (Requirement 2.2) is just direct usage of fetchWithRetry
const concurrentFetch = (url, options = {}) => {
return fetchWithRetry(url, options);
};
module.exports = { queuedFetch, concurrentFetch };

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const pino = require('pino');
const fs = require('fs');
const path = require('path');
const logDir = path.join(process.cwd(), 'logs');
if (!fs.existsSync(logDir)) {
fs.mkdirSync(logDir);
}
const date = new Date().toISOString().split('T')[0];
const logFile = path.join(logDir, `app-${date}.log`);
// Config for daily rolling is tricky with basic pino, but we create a new file per day based on start time.
// For "keep 1 day", we would need a cleanup script.
// For now we just ensure we write to a date-stamped file.
const transport = pino.transport({
targets: [
{
target: 'pino/file',
options: { destination: logFile, mkdir: true },
},
{
target: 'pino-pretty',
options: { colorize: true, translateTime: 'SYS:standard' }
}
]
});
const logger = pino({
level: 'info',
timestamp: pino.stdTimeFunctions.isoTime,
}, transport);
module.exports = logger;

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const fs = require('fs');
const path = require('path');
const logger = require('./logger');
const parseApiEndpoints = (filePath) => {
try {
if (!fs.existsSync(filePath)) {
logger.warn(`MD file not found at ${filePath}, using default endpoints.`);
return getDefaultEndpoints();
}
const content = fs.readFileSync(filePath, 'utf-8');
const lines = content.split(/\r?\n/);
const extractPath = (line) => {
const match = line.match(/^\s*(\/[a-zA-Z0-9_]+)/);
return match ? match[1] : null;
};
// Requirement 2.1: Parse L58-60
// Lines are 1-based in editor, 0-based in array.
// L58 -> index 57.
// We take a window around there to be safe or just specific lines.
// Let's scan the file for the known patterns to be robust against minor edits,
// but prioritize the section if we can.
const endpoints = {};
lines.forEach(line => {
const p = extractPath(line);
if (p) {
if (p.includes('GetHotelList')) endpoints.getHotelList = p;
if (p.includes('GetHostList')) endpoints.getHostList = p;
if (p.includes('GetRoomType_Info') && !p.includes('Modal')) endpoints.getRoomTypeInfo = p;
if (p.includes('GetRoomType_ModalInfo')) endpoints.getRoomTypeModalInfo = p;
}
});
return {
getHotelList: endpoints.getHotelList || '/GetHotelList',
getHostList: endpoints.getHostList || '/GetHostList',
getRoomTypeInfo: endpoints.getRoomTypeInfo || '/GetRoomType_Info',
getRoomTypeModalInfo: endpoints.getRoomTypeModalInfo || '/GetRoomType_ModalInfo'
};
} catch (error) {
logger.error({ error }, 'Failed to parse MD file. Using defaults.');
return getDefaultEndpoints();
}
};
const getDefaultEndpoints = () => ({
getHotelList: '/GetHotelList',
getHostList: '/GetHostList',
getRoomTypeInfo: '/GetRoomType_Info',
getRoomTypeModalInfo: '/GetRoomType_ModalInfo'
});
module.exports = { parseApiEndpoints };

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const initDB = require('../src/db/init');
const { saveHotelsTransaction, saveLoopsTransaction } = require('../src/services/dataService');
const { concurrentFetch } = require('../src/utils/http');
const { db, run, all, close } = require('../src/db/utils');
const logger = require('../src/utils/logger');
const axios = require('axios');
// Setup Mocks
jest.mock('uuid', () => {
let count = 0;
return {
v4: () => `test-guid-${++count}`
};
});
// Mock Axios with a persistent mock client
jest.mock('axios', () => {
const mockClient = jest.fn();
return {
create: jest.fn(() => mockClient),
__mockClient: mockClient
};
});
jest.mock('../src/utils/logger', () => ({
info: jest.fn(),
error: jest.fn(),
warn: jest.fn(),
debug: jest.fn(),
}));
describe('System Tests', () => {
jest.setTimeout(20000); // Increase timeout for retry logic
afterAll(async () => {
await close();
});
describe('Database & Services', () => {
beforeEach(async () => {
await run('DROP TABLE IF EXISTS hotels');
await run('DROP TABLE IF EXISTS rooms');
await run('DROP TABLE IF EXISTS room_type');
await run('DROP TABLE IF EXISTS loops');
await initDB();
});
test('InitDB should be idempotent', async () => {
await initDB();
const result = await all("SELECT name FROM sqlite_master WHERE type='table' AND name='hotels'");
expect(result.length).toBe(1);
});
test('Transaction Rollback', async () => {
const data = [
{ hotelID: 1, hotelCode: 'H1', hotelName: 'Hotel 1' },
{ hotelID: 2, hotelCode: 'H2', hotelName: 'Hotel 2' }
];
await saveHotelsTransaction(data);
const rows = await all('SELECT * FROM hotels');
expect(rows.length).toBe(2);
});
test('Loop Address Writing', async () => {
const loops = [
{ id: 1, roomTypeID: 10, modalAddress: 'Addr1', type: 'Type1', name: 'Loop1' },
{ id: 2, roomTypeID: 10, modalAddress: 'Addr2', type: 'Type2', name: 'Loop2' }
];
await saveLoopsTransaction(loops);
const rows = await all('SELECT * FROM loops');
expect(rows.length).toBe(2);
expect(rows[0].loop_name).toBe('Loop1');
});
});
describe('HTTP Utils', () => {
const mockClient = axios.__mockClient;
beforeEach(() => {
mockClient.mockReset();
});
test('Retry Logic: Should retry on failure', async () => {
// Mock failures then success
mockClient
.mockRejectedValueOnce(new Error('Fail 1'))
.mockRejectedValueOnce(new Error('Fail 2'))
.mockResolvedValue({ data: 'Success' });
const result = await concurrentFetch('/test');
expect(result).toBe('Success');
expect(mockClient).toHaveBeenCalledTimes(3); // Initial + 2 Retries
});
test('Timeout Logic: Handled by axios config', async () => {
expect(true).toBe(true);
});
});
});