Add AI name/description validation to product editor
This commit is contained in:
@@ -1,103 +0,0 @@
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require('dotenv').config({ path: '../.env' });
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const bcrypt = require('bcrypt');
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const { Pool } = require('pg');
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const inquirer = require('inquirer');
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// Log connection details for debugging (remove in production)
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console.log('Attempting to connect with:', {
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host: process.env.DB_HOST,
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user: process.env.DB_USER,
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database: process.env.DB_NAME,
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port: process.env.DB_PORT
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});
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const pool = new Pool({
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host: process.env.DB_HOST,
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user: process.env.DB_USER,
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password: process.env.DB_PASSWORD,
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database: process.env.DB_NAME,
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port: process.env.DB_PORT,
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});
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async function promptUser() {
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const questions = [
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{
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type: 'input',
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name: 'username',
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message: 'Enter username:',
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validate: (input) => {
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if (input.length < 3) {
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return 'Username must be at least 3 characters long';
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}
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return true;
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}
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},
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{
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type: 'password',
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name: 'password',
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message: 'Enter password:',
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mask: '*',
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validate: (input) => {
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if (input.length < 8) {
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return 'Password must be at least 8 characters long';
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}
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return true;
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}
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},
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{
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type: 'password',
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name: 'confirmPassword',
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message: 'Confirm password:',
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mask: '*',
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validate: (input, answers) => {
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if (input !== answers.password) {
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return 'Passwords do not match';
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}
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return true;
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}
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}
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];
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return inquirer.prompt(questions);
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}
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async function addUser() {
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try {
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// Get user input
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const answers = await promptUser();
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const { username, password } = answers;
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// Hash password
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const saltRounds = 10;
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const hashedPassword = await bcrypt.hash(password, saltRounds);
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// Check if user already exists
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const checkResult = await pool.query(
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'SELECT id FROM users WHERE username = $1',
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[username]
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);
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if (checkResult.rows.length > 0) {
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console.error('Error: Username already exists');
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process.exit(1);
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}
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// Insert new user
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const result = await pool.query(
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'INSERT INTO users (username, password) VALUES ($1, $2) RETURNING id',
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[username, hashedPassword]
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);
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console.log(`User ${username} created successfully with id ${result.rows[0].id}`);
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} catch (error) {
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console.error('Error creating user:', error);
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console.error('Error details:', error.message);
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if (error.code) {
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console.error('Error code:', error.code);
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}
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} finally {
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await pool.end();
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}
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}
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addUser();
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2275
inventory-server/auth/package-lock.json
generated
2275
inventory-server/auth/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,19 +0,0 @@
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{
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"name": "inventory-auth-server",
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"version": "1.0.0",
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"description": "Authentication server for inventory management system",
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"main": "server.js",
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"scripts": {
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"start": "node server.js"
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},
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"dependencies": {
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"bcrypt": "^5.1.1",
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"cors": "^2.8.5",
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"dotenv": "^16.4.7",
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"express": "^4.18.2",
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"inquirer": "^8.2.6",
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"jsonwebtoken": "^9.0.2",
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"morgan": "^1.10.0",
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"pg": "^8.11.3"
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}
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}
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@@ -1,128 +0,0 @@
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// Get pool from global or create a new one if not available
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let pool;
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if (typeof global.pool !== 'undefined') {
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pool = global.pool;
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} else {
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// If global pool is not available, create a new connection
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const { Pool } = require('pg');
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pool = new Pool({
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host: process.env.DB_HOST,
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user: process.env.DB_USER,
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password: process.env.DB_PASSWORD,
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database: process.env.DB_NAME,
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port: process.env.DB_PORT,
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});
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console.log('Created new database pool in permissions.js');
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}
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/**
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* Check if a user has a specific permission
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* @param {number} userId - The user ID to check
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* @param {string} permissionCode - The permission code to check
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* @returns {Promise<boolean>} - Whether the user has the permission
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*/
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async function checkPermission(userId, permissionCode) {
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try {
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// First check if the user is an admin
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const adminResult = await pool.query(
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'SELECT is_admin FROM users WHERE id = $1',
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[userId]
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);
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// If user is admin, automatically grant permission
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if (adminResult.rows.length > 0 && adminResult.rows[0].is_admin) {
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return true;
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}
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// Otherwise check for specific permission
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const result = await pool.query(
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`SELECT COUNT(*) AS has_permission
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FROM user_permissions up
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JOIN permissions p ON up.permission_id = p.id
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WHERE up.user_id = $1 AND p.code = $2`,
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[userId, permissionCode]
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);
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return result.rows[0].has_permission > 0;
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} catch (error) {
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console.error('Error checking permission:', error);
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return false;
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}
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}
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/**
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* Middleware to require a specific permission
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* @param {string} permissionCode - The permission code required
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* @returns {Function} - Express middleware function
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*/
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function requirePermission(permissionCode) {
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return async (req, res, next) => {
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try {
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// Check if user is authenticated
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if (!req.user || !req.user.id) {
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return res.status(401).json({ error: 'Authentication required' });
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}
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const hasPermission = await checkPermission(req.user.id, permissionCode);
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if (!hasPermission) {
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return res.status(403).json({
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error: 'Insufficient permissions',
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requiredPermission: permissionCode
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});
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}
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next();
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} catch (error) {
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console.error('Permission middleware error:', error);
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res.status(500).json({ error: 'Server error checking permissions' });
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}
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};
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}
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/**
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* Get all permissions for a user
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* @param {number} userId - The user ID
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* @returns {Promise<string[]>} - Array of permission codes
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*/
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async function getUserPermissions(userId) {
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try {
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// Check if user is admin
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const adminResult = await pool.query(
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'SELECT is_admin FROM users WHERE id = $1',
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[userId]
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);
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if (adminResult.rows.length === 0) {
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return [];
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}
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const isAdmin = adminResult.rows[0].is_admin;
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if (isAdmin) {
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// Admin gets all permissions
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const allPermissions = await pool.query('SELECT code FROM permissions');
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return allPermissions.rows.map(p => p.code);
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} else {
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// Get assigned permissions
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const permissions = await pool.query(
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`SELECT p.code
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FROM permissions p
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JOIN user_permissions up ON p.id = up.permission_id
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WHERE up.user_id = $1`,
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[userId]
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);
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return permissions.rows.map(p => p.code);
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}
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} catch (error) {
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console.error('Error getting user permissions:', error);
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return [];
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}
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}
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module.exports = {
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checkPermission,
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requirePermission,
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getUserPermissions
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};
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@@ -1,533 +0,0 @@
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const express = require('express');
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const router = express.Router();
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const bcrypt = require('bcrypt');
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const jwt = require('jsonwebtoken');
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const { requirePermission, getUserPermissions } = require('./permissions');
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// Get pool from global or create a new one if not available
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let pool;
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if (typeof global.pool !== 'undefined') {
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pool = global.pool;
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} else {
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// If global pool is not available, create a new connection
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const { Pool } = require('pg');
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pool = new Pool({
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host: process.env.DB_HOST,
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user: process.env.DB_USER,
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password: process.env.DB_PASSWORD,
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database: process.env.DB_NAME,
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port: process.env.DB_PORT,
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});
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console.log('Created new database pool in routes.js');
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}
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// Authentication middleware
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const authenticate = async (req, res, next) => {
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try {
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const authHeader = req.headers.authorization;
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if (!authHeader || !authHeader.startsWith('Bearer ')) {
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return res.status(401).json({ error: 'Authentication required' });
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}
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const token = authHeader.split(' ')[1];
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const decoded = jwt.verify(token, process.env.JWT_SECRET);
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// Get user from database
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const result = await pool.query(
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'SELECT id, username, email, is_admin, rocket_chat_user_id FROM users WHERE id = $1',
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[decoded.userId]
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);
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console.log('Database query result for user', decoded.userId, ':', result.rows[0]);
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if (result.rows.length === 0) {
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return res.status(401).json({ error: 'User not found' });
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}
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// Attach user to request
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req.user = result.rows[0];
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next();
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} catch (error) {
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console.error('Authentication error:', error);
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res.status(401).json({ error: 'Invalid token' });
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}
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};
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// Login route
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router.post('/login', async (req, res) => {
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try {
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const { username, password } = req.body;
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// Get user from database
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const result = await pool.query(
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'SELECT id, username, password, is_admin, is_active, rocket_chat_user_id FROM users WHERE username = $1',
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[username]
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);
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if (result.rows.length === 0) {
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return res.status(401).json({ error: 'Invalid username or password' });
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}
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const user = result.rows[0];
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// Check if user is active
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if (!user.is_active) {
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return res.status(403).json({ error: 'Account is inactive' });
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}
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// Verify password
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const validPassword = await bcrypt.compare(password, user.password);
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if (!validPassword) {
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return res.status(401).json({ error: 'Invalid username or password' });
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}
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// Update last login
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await pool.query(
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'UPDATE users SET last_login = CURRENT_TIMESTAMP WHERE id = $1',
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[user.id]
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);
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// Generate JWT
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const token = jwt.sign(
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{ userId: user.id, username: user.username },
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process.env.JWT_SECRET,
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{ expiresIn: '8h' }
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);
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// Get user permissions
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const permissions = await getUserPermissions(user.id);
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res.json({
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token,
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user: {
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id: user.id,
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username: user.username,
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is_admin: user.is_admin,
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rocket_chat_user_id: user.rocket_chat_user_id,
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permissions
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}
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});
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} catch (error) {
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console.error('Login error:', error);
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res.status(500).json({ error: 'Server error' });
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}
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});
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// Get current user
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router.get('/me', authenticate, async (req, res) => {
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try {
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// Get user permissions
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const permissions = await getUserPermissions(req.user.id);
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res.json({
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id: req.user.id,
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username: req.user.username,
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email: req.user.email,
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is_admin: req.user.is_admin,
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rocket_chat_user_id: req.user.rocket_chat_user_id,
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permissions,
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// Debug info
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_debug_raw_user: req.user,
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_server_identifier: "INVENTORY_AUTH_SERVER_MODIFIED"
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});
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} catch (error) {
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console.error('Error getting current user:', error);
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res.status(500).json({ error: 'Server error' });
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}
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});
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// Get all users
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router.get('/users', authenticate, requirePermission('view:users'), async (req, res) => {
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try {
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const result = await pool.query(`
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SELECT id, username, email, is_admin, is_active, rocket_chat_user_id, created_at, last_login
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FROM users
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ORDER BY username
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`);
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res.json(result.rows);
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} catch (error) {
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console.error('Error getting users:', error);
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res.status(500).json({ error: 'Server error' });
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}
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});
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// Get user with permissions
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router.get('/users/:id', authenticate, requirePermission('view:users'), async (req, res) => {
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try {
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const userId = req.params.id;
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// Get user details
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const userResult = await pool.query(`
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SELECT id, username, email, is_admin, is_active, rocket_chat_user_id, created_at, last_login
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FROM users
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WHERE id = $1
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`, [userId]);
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if (userResult.rows.length === 0) {
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return res.status(404).json({ error: 'User not found' });
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}
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// Get user permissions
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const permissionsResult = await pool.query(`
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SELECT p.id, p.name, p.code, p.category, p.description
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FROM permissions p
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JOIN user_permissions up ON p.id = up.permission_id
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WHERE up.user_id = $1
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ORDER BY p.category, p.name
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`, [userId]);
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// Combine user and permissions
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const user = {
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...userResult.rows[0],
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permissions: permissionsResult.rows
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};
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res.json(user);
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} catch (error) {
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console.error('Error getting user:', error);
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res.status(500).json({ error: 'Server error' });
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}
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});
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// Create new user
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router.post('/users', authenticate, requirePermission('create:users'), async (req, res) => {
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const client = await pool.connect();
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try {
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const { username, email, password, is_admin, is_active, rocket_chat_user_id, permissions } = req.body;
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console.log("Create user request:", {
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username,
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email,
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is_admin,
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is_active,
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rocket_chat_user_id,
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permissions: permissions || []
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});
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// Validate required fields
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if (!username || !password) {
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return res.status(400).json({ error: 'Username and password are required' });
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}
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|
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// Check if username is taken
|
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const existingUser = await client.query(
|
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'SELECT id FROM users WHERE username = $1',
|
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[username]
|
||||
);
|
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|
||||
if (existingUser.rows.length > 0) {
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return res.status(400).json({ error: 'Username already exists' });
|
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}
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|
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// Start transaction
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await client.query('BEGIN');
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|
||||
// Hash password
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const saltRounds = 10;
|
||||
const hashedPassword = await bcrypt.hash(password, saltRounds);
|
||||
|
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// Insert new user
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||||
// Convert rocket_chat_user_id to integer if provided
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const rcUserId = rocket_chat_user_id ? parseInt(rocket_chat_user_id, 10) : null;
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||||
|
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const userResult = await client.query(`
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INSERT INTO users (username, email, password, is_admin, is_active, rocket_chat_user_id, created_at)
|
||||
VALUES ($1, $2, $3, $4, $5, $6, CURRENT_TIMESTAMP)
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RETURNING id
|
||||
`, [username, email || null, hashedPassword, !!is_admin, is_active !== false, rcUserId]);
|
||||
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const userId = userResult.rows[0].id;
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// Assign permissions if provided and not admin
|
||||
if (!is_admin && Array.isArray(permissions) && permissions.length > 0) {
|
||||
console.log("Adding permissions for new user:", userId);
|
||||
console.log("Permissions received:", permissions);
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||||
|
||||
// Check permission format
|
||||
const permissionIds = permissions.map(p => {
|
||||
if (typeof p === 'object' && p.id) {
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||||
console.log("Permission is an object with ID:", p.id);
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||||
return parseInt(p.id, 10);
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||||
} else if (typeof p === 'number') {
|
||||
console.log("Permission is a number:", p);
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||||
return p;
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||||
} else if (typeof p === 'string' && !isNaN(parseInt(p, 10))) {
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||||
console.log("Permission is a string that can be parsed as a number:", p);
|
||||
return parseInt(p, 10);
|
||||
} else {
|
||||
console.log("Unknown permission format:", typeof p, p);
|
||||
// If it's a permission code, we need to look up the ID
|
||||
return null;
|
||||
}
|
||||
}).filter(id => id !== null);
|
||||
|
||||
console.log("Filtered permission IDs:", permissionIds);
|
||||
|
||||
if (permissionIds.length > 0) {
|
||||
const permissionValues = permissionIds
|
||||
.map(permId => `(${userId}, ${permId})`)
|
||||
.join(',');
|
||||
|
||||
console.log("Inserting permission values:", permissionValues);
|
||||
|
||||
try {
|
||||
await client.query(`
|
||||
INSERT INTO user_permissions (user_id, permission_id)
|
||||
VALUES ${permissionValues}
|
||||
ON CONFLICT DO NOTHING
|
||||
`);
|
||||
console.log("Successfully inserted permissions for new user:", userId);
|
||||
} catch (err) {
|
||||
console.error("Error inserting permissions for new user:", err);
|
||||
throw err;
|
||||
}
|
||||
} else {
|
||||
console.log("No valid permission IDs found to insert for new user");
|
||||
}
|
||||
} else {
|
||||
console.log("Not adding permissions: is_admin =", is_admin, "permissions array:", Array.isArray(permissions), "length:", permissions ? permissions.length : 0);
|
||||
}
|
||||
|
||||
await client.query('COMMIT');
|
||||
|
||||
res.status(201).json({
|
||||
id: userId,
|
||||
message: 'User created successfully'
|
||||
});
|
||||
} catch (error) {
|
||||
await client.query('ROLLBACK');
|
||||
console.error('Error creating user:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
} finally {
|
||||
client.release();
|
||||
}
|
||||
});
|
||||
|
||||
// Update user
|
||||
router.put('/users/:id', authenticate, requirePermission('edit:users'), async (req, res) => {
|
||||
const client = await pool.connect();
|
||||
|
||||
try {
|
||||
const userId = req.params.id;
|
||||
const { username, email, password, is_admin, is_active, rocket_chat_user_id, permissions } = req.body;
|
||||
|
||||
console.log("Update user request:", {
|
||||
userId,
|
||||
username,
|
||||
email,
|
||||
is_admin,
|
||||
is_active,
|
||||
rocket_chat_user_id,
|
||||
permissions: permissions || []
|
||||
});
|
||||
|
||||
// Check if user exists
|
||||
const userExists = await client.query(
|
||||
'SELECT id FROM users WHERE id = $1',
|
||||
[userId]
|
||||
);
|
||||
|
||||
if (userExists.rows.length === 0) {
|
||||
return res.status(404).json({ error: 'User not found' });
|
||||
}
|
||||
|
||||
// Start transaction
|
||||
await client.query('BEGIN');
|
||||
|
||||
// Build update fields
|
||||
const updateFields = [];
|
||||
const updateValues = [userId]; // First parameter is the user ID
|
||||
let paramIndex = 2;
|
||||
|
||||
if (username !== undefined) {
|
||||
updateFields.push(`username = $${paramIndex++}`);
|
||||
updateValues.push(username);
|
||||
}
|
||||
|
||||
if (email !== undefined) {
|
||||
updateFields.push(`email = $${paramIndex++}`);
|
||||
updateValues.push(email || null);
|
||||
}
|
||||
|
||||
if (is_admin !== undefined) {
|
||||
updateFields.push(`is_admin = $${paramIndex++}`);
|
||||
updateValues.push(!!is_admin);
|
||||
}
|
||||
|
||||
if (is_active !== undefined) {
|
||||
updateFields.push(`is_active = $${paramIndex++}`);
|
||||
updateValues.push(!!is_active);
|
||||
}
|
||||
|
||||
if (rocket_chat_user_id !== undefined) {
|
||||
updateFields.push(`rocket_chat_user_id = $${paramIndex++}`);
|
||||
// Convert to integer if not null/undefined, otherwise null
|
||||
const rcUserId = rocket_chat_user_id ? parseInt(rocket_chat_user_id, 10) : null;
|
||||
updateValues.push(rcUserId);
|
||||
}
|
||||
|
||||
// Update password if provided
|
||||
if (password) {
|
||||
const saltRounds = 10;
|
||||
const hashedPassword = await bcrypt.hash(password, saltRounds);
|
||||
updateFields.push(`password = $${paramIndex++}`);
|
||||
updateValues.push(hashedPassword);
|
||||
}
|
||||
|
||||
// Update user if there are fields to update
|
||||
if (updateFields.length > 0) {
|
||||
updateFields.push(`updated_at = CURRENT_TIMESTAMP`);
|
||||
|
||||
await client.query(`
|
||||
UPDATE users
|
||||
SET ${updateFields.join(', ')}
|
||||
WHERE id = $1
|
||||
`, updateValues);
|
||||
}
|
||||
|
||||
// Update permissions if provided
|
||||
if (Array.isArray(permissions)) {
|
||||
console.log("Updating permissions for user:", userId);
|
||||
console.log("Permissions received:", permissions);
|
||||
|
||||
// First remove existing permissions
|
||||
await client.query(
|
||||
'DELETE FROM user_permissions WHERE user_id = $1',
|
||||
[userId]
|
||||
);
|
||||
console.log("Deleted existing permissions for user:", userId);
|
||||
|
||||
// Add new permissions if any and not admin
|
||||
const newIsAdmin = is_admin !== undefined ? is_admin : (await client.query('SELECT is_admin FROM users WHERE id = $1', [userId])).rows[0].is_admin;
|
||||
|
||||
console.log("User is admin:", newIsAdmin);
|
||||
|
||||
if (!newIsAdmin && permissions.length > 0) {
|
||||
console.log("Adding permissions:", permissions);
|
||||
|
||||
// Check permission format
|
||||
const permissionIds = permissions.map(p => {
|
||||
if (typeof p === 'object' && p.id) {
|
||||
console.log("Permission is an object with ID:", p.id);
|
||||
return parseInt(p.id, 10);
|
||||
} else if (typeof p === 'number') {
|
||||
console.log("Permission is a number:", p);
|
||||
return p;
|
||||
} else if (typeof p === 'string' && !isNaN(parseInt(p, 10))) {
|
||||
console.log("Permission is a string that can be parsed as a number:", p);
|
||||
return parseInt(p, 10);
|
||||
} else {
|
||||
console.log("Unknown permission format:", typeof p, p);
|
||||
// If it's a permission code, we need to look up the ID
|
||||
return null;
|
||||
}
|
||||
}).filter(id => id !== null);
|
||||
|
||||
console.log("Filtered permission IDs:", permissionIds);
|
||||
|
||||
if (permissionIds.length > 0) {
|
||||
const permissionValues = permissionIds
|
||||
.map(permId => `(${userId}, ${permId})`)
|
||||
.join(',');
|
||||
|
||||
console.log("Inserting permission values:", permissionValues);
|
||||
|
||||
try {
|
||||
await client.query(`
|
||||
INSERT INTO user_permissions (user_id, permission_id)
|
||||
VALUES ${permissionValues}
|
||||
ON CONFLICT DO NOTHING
|
||||
`);
|
||||
console.log("Successfully inserted permissions for user:", userId);
|
||||
} catch (err) {
|
||||
console.error("Error inserting permissions:", err);
|
||||
throw err;
|
||||
}
|
||||
} else {
|
||||
console.log("No valid permission IDs found to insert");
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
await client.query('COMMIT');
|
||||
|
||||
res.json({ message: 'User updated successfully' });
|
||||
} catch (error) {
|
||||
await client.query('ROLLBACK');
|
||||
console.error('Error updating user:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
} finally {
|
||||
client.release();
|
||||
}
|
||||
});
|
||||
|
||||
// Delete user
|
||||
router.delete('/users/:id', authenticate, requirePermission('delete:users'), async (req, res) => {
|
||||
try {
|
||||
const userId = req.params.id;
|
||||
|
||||
// Check that user is not deleting themselves
|
||||
if (req.user.id === parseInt(userId, 10)) {
|
||||
return res.status(400).json({ error: 'Cannot delete your own account' });
|
||||
}
|
||||
|
||||
// Delete user (this will cascade to user_permissions due to FK constraints)
|
||||
const result = await pool.query(
|
||||
'DELETE FROM users WHERE id = $1 RETURNING id',
|
||||
[userId]
|
||||
);
|
||||
|
||||
if (result.rows.length === 0) {
|
||||
return res.status(404).json({ error: 'User not found' });
|
||||
}
|
||||
|
||||
res.json({ message: 'User deleted successfully' });
|
||||
} catch (error) {
|
||||
console.error('Error deleting user:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
}
|
||||
});
|
||||
|
||||
// Get all permissions grouped by category
|
||||
router.get('/permissions/categories', authenticate, requirePermission('view:users'), async (req, res) => {
|
||||
try {
|
||||
const result = await pool.query(`
|
||||
SELECT category, json_agg(
|
||||
json_build_object(
|
||||
'id', id,
|
||||
'name', name,
|
||||
'code', code,
|
||||
'description', description
|
||||
) ORDER BY name
|
||||
) as permissions
|
||||
FROM permissions
|
||||
GROUP BY category
|
||||
ORDER BY category
|
||||
`);
|
||||
|
||||
res.json(result.rows);
|
||||
} catch (error) {
|
||||
console.error('Error getting permissions:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
}
|
||||
});
|
||||
|
||||
// Get all permissions
|
||||
router.get('/permissions', authenticate, requirePermission('view:users'), async (req, res) => {
|
||||
try {
|
||||
const result = await pool.query(`
|
||||
SELECT *
|
||||
FROM permissions
|
||||
ORDER BY category, name
|
||||
`);
|
||||
|
||||
res.json(result.rows);
|
||||
} catch (error) {
|
||||
console.error('Error getting permissions:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,89 +0,0 @@
|
||||
CREATE TABLE users (
|
||||
id SERIAL PRIMARY KEY,
|
||||
username VARCHAR(255) NOT NULL UNIQUE,
|
||||
password VARCHAR(255) NOT NULL,
|
||||
email VARCHAR UNIQUE,
|
||||
is_admin BOOLEAN DEFAULT FALSE,
|
||||
is_active BOOLEAN DEFAULT TRUE,
|
||||
last_login TIMESTAMP WITH TIME ZONE,
|
||||
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
|
||||
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
|
||||
-- Function to update the updated_at timestamp
|
||||
CREATE OR REPLACE FUNCTION update_updated_at_column()
|
||||
RETURNS TRIGGER AS $$
|
||||
BEGIN
|
||||
NEW.updated_at = CURRENT_TIMESTAMP;
|
||||
RETURN NEW;
|
||||
END;
|
||||
$$ language 'plpgsql';
|
||||
|
||||
-- Sequence and defined type for users table if not exists
|
||||
CREATE SEQUENCE IF NOT EXISTS users_id_seq;
|
||||
|
||||
-- Create permissions table
|
||||
CREATE TABLE IF NOT EXISTS "public"."permissions" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"name" varchar NOT NULL UNIQUE,
|
||||
"code" varchar NOT NULL UNIQUE,
|
||||
"description" text,
|
||||
"category" varchar NOT NULL,
|
||||
"created_at" timestamp with time zone DEFAULT CURRENT_TIMESTAMP,
|
||||
"updated_at" timestamp with time zone DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
|
||||
-- Create user_permissions junction table
|
||||
CREATE TABLE IF NOT EXISTS "public"."user_permissions" (
|
||||
"user_id" int4 NOT NULL REFERENCES "public"."users"("id") ON DELETE CASCADE,
|
||||
"permission_id" int4 NOT NULL REFERENCES "public"."permissions"("id") ON DELETE CASCADE,
|
||||
"created_at" timestamp with time zone DEFAULT CURRENT_TIMESTAMP,
|
||||
PRIMARY KEY ("user_id", "permission_id")
|
||||
);
|
||||
|
||||
-- Add triggers for updated_at on users and permissions
|
||||
DROP TRIGGER IF EXISTS update_users_updated_at ON users;
|
||||
CREATE TRIGGER update_users_updated_at
|
||||
BEFORE UPDATE ON users
|
||||
FOR EACH ROW
|
||||
EXECUTE FUNCTION update_updated_at_column();
|
||||
|
||||
DROP TRIGGER IF EXISTS update_permissions_updated_at ON permissions;
|
||||
CREATE TRIGGER update_permissions_updated_at
|
||||
BEFORE UPDATE ON permissions
|
||||
FOR EACH ROW
|
||||
EXECUTE FUNCTION update_updated_at_column();
|
||||
|
||||
-- Insert default permissions by page - only the ones used in application
|
||||
INSERT INTO permissions (name, code, description, category) VALUES
|
||||
('Dashboard Access', 'access:dashboard', 'Can access the Dashboard page', 'Pages'),
|
||||
('Products Access', 'access:products', 'Can access the Products page', 'Pages'),
|
||||
('Categories Access', 'access:categories', 'Can access the Categories page', 'Pages'),
|
||||
('Vendors Access', 'access:vendors', 'Can access the Vendors page', 'Pages'),
|
||||
('Analytics Access', 'access:analytics', 'Can access the Analytics page', 'Pages'),
|
||||
('Forecasting Access', 'access:forecasting', 'Can access the Forecasting page', 'Pages'),
|
||||
('Purchase Orders Access', 'access:purchase_orders', 'Can access the Purchase Orders page', 'Pages'),
|
||||
('Import Access', 'access:import', 'Can access the Import page', 'Pages'),
|
||||
('Settings Access', 'access:settings', 'Can access the Settings page', 'Pages'),
|
||||
('AI Validation Debug Access', 'access:ai_validation_debug', 'Can access the AI Validation Debug page', 'Pages')
|
||||
ON CONFLICT (code) DO NOTHING;
|
||||
|
||||
-- Settings section permissions
|
||||
INSERT INTO permissions (name, code, description, category) VALUES
|
||||
('Data Management', 'settings:data_management', 'Access to the Data Management settings section', 'Settings'),
|
||||
('Stock Management', 'settings:stock_management', 'Access to the Stock Management settings section', 'Settings'),
|
||||
('Performance Metrics', 'settings:performance_metrics', 'Access to the Performance Metrics settings section', 'Settings'),
|
||||
('Calculation Settings', 'settings:calculation_settings', 'Access to the Calculation Settings section', 'Settings'),
|
||||
('Template Management', 'settings:templates', 'Access to the Template Management settings section', 'Settings'),
|
||||
('User Management', 'settings:user_management', 'Access to the User Management settings section', 'Settings')
|
||||
ON CONFLICT (code) DO NOTHING;
|
||||
|
||||
-- Set any existing users as admin
|
||||
UPDATE users SET is_admin = TRUE WHERE is_admin IS NULL;
|
||||
|
||||
-- Grant all permissions to admin users
|
||||
INSERT INTO user_permissions (user_id, permission_id)
|
||||
SELECT u.id, p.id
|
||||
FROM users u, permissions p
|
||||
WHERE u.is_admin = TRUE
|
||||
ON CONFLICT DO NOTHING;
|
||||
@@ -35,7 +35,7 @@ global.pool = pool;
|
||||
app.use(express.json());
|
||||
app.use(morgan('combined'));
|
||||
app.use(cors({
|
||||
origin: ['http://localhost:5175', 'http://localhost:5174', 'https://inventory.kent.pw', 'https://acot.site', 'https://tools.acherryontop.com'],
|
||||
origin: ['http://localhost:5175', 'http://localhost:5174', 'https://inventory.kent.pw', 'https://tools.acherryontop.com', 'https://tools.acherryontop.com'],
|
||||
credentials: true
|
||||
}));
|
||||
|
||||
|
||||
@@ -1,45 +0,0 @@
|
||||
-- PostgreSQL Database Creation Script for New Server
|
||||
-- Run as: sudo -u postgres psql -f create-new-database.sql
|
||||
|
||||
-- Terminate all connections to the database (if it exists)
|
||||
SELECT pg_terminate_backend(pid)
|
||||
FROM pg_stat_activity
|
||||
WHERE datname = 'rocketchat_converted' AND pid <> pg_backend_pid();
|
||||
|
||||
-- Drop the database if it exists
|
||||
DROP DATABASE IF EXISTS rocketchat_converted;
|
||||
|
||||
-- Create fresh database
|
||||
CREATE DATABASE rocketchat_converted;
|
||||
|
||||
-- Create user (if not exists) - UPDATE PASSWORD BEFORE RUNNING!
|
||||
DO $$
|
||||
BEGIN
|
||||
IF NOT EXISTS (SELECT FROM pg_user WHERE usename = 'rocketchat_user') THEN
|
||||
CREATE USER rocketchat_user WITH PASSWORD 'HKjLgt23gWuPXzEAn3rW';
|
||||
END IF;
|
||||
END $$;
|
||||
|
||||
-- Grant database privileges
|
||||
GRANT CONNECT ON DATABASE rocketchat_converted TO rocketchat_user;
|
||||
GRANT CREATE ON DATABASE rocketchat_converted TO rocketchat_user;
|
||||
|
||||
-- Connect to the new database
|
||||
\c rocketchat_converted;
|
||||
|
||||
-- Grant schema privileges
|
||||
GRANT CREATE ON SCHEMA public TO rocketchat_user;
|
||||
GRANT USAGE ON SCHEMA public TO rocketchat_user;
|
||||
|
||||
-- Grant privileges on all future tables and sequences
|
||||
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT, INSERT, UPDATE, DELETE ON TABLES TO rocketchat_user;
|
||||
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT USAGE, SELECT ON SEQUENCES TO rocketchat_user;
|
||||
|
||||
-- Display success message
|
||||
\echo 'Database created successfully!'
|
||||
\echo 'IMPORTANT: Update the password for rocketchat_user before proceeding'
|
||||
\echo 'Next steps:'
|
||||
\echo '1. Update the password in this file'
|
||||
\echo '2. Run export-chat-data.sh on your current server'
|
||||
\echo '3. Transfer the exported files to this server'
|
||||
\echo '4. Run import-chat-data.sh on this server'
|
||||
@@ -1,881 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
MongoDB to PostgreSQL Converter for Rocket.Chat
|
||||
Converts MongoDB BSON export files to PostgreSQL database
|
||||
|
||||
Usage:
|
||||
python3 mongo_to_postgres_converter.py \
|
||||
--mongo-path db/database/62df06d44234d20001289144 \
|
||||
--pg-database rocketchat_converted \
|
||||
--pg-user rocketchat_user \
|
||||
--pg-password your_password \
|
||||
--debug
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import subprocess
|
||||
import sys
|
||||
import struct
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Dict, Any, List, Optional
|
||||
import argparse
|
||||
import traceback
|
||||
|
||||
# Auto-install dependencies if needed
|
||||
try:
|
||||
import bson
|
||||
import psycopg2
|
||||
except ImportError:
|
||||
print("Installing required packages...")
|
||||
subprocess.check_call([sys.executable, "-m", "pip", "install", "pymongo", "psycopg2-binary"])
|
||||
import bson
|
||||
import psycopg2
|
||||
|
||||
class MongoToPostgresConverter:
|
||||
def __init__(self, mongo_db_path: str, postgres_config: Dict[str, str], debug_mode: bool = False, debug_collections: List[str] = None):
|
||||
self.mongo_db_path = Path(mongo_db_path)
|
||||
self.postgres_config = postgres_config
|
||||
self.debug_mode = debug_mode
|
||||
self.debug_collections = debug_collections or []
|
||||
self.collections = {}
|
||||
self.schema_info = {}
|
||||
self.error_log = {}
|
||||
|
||||
def log_debug(self, message: str, collection: str = None):
|
||||
"""Log debug messages if debug mode is enabled and collection is in debug list"""
|
||||
if self.debug_mode and (not self.debug_collections or collection in self.debug_collections):
|
||||
print(f"DEBUG: {message}")
|
||||
|
||||
def log_error(self, collection: str, error_type: str, details: str):
|
||||
"""Log detailed error information"""
|
||||
if collection not in self.error_log:
|
||||
self.error_log[collection] = []
|
||||
self.error_log[collection].append({
|
||||
'type': error_type,
|
||||
'details': details,
|
||||
'timestamp': datetime.now().isoformat()
|
||||
})
|
||||
|
||||
def sample_documents(self, collection_name: str, max_samples: int = 3) -> List[Dict]:
|
||||
"""Sample documents from a collection for debugging"""
|
||||
if not self.debug_mode or (self.debug_collections and collection_name not in self.debug_collections):
|
||||
return []
|
||||
|
||||
print(f"\n🔍 Sampling documents from {collection_name}:")
|
||||
|
||||
bson_file = self.collections[collection_name]['bson_file']
|
||||
if bson_file.stat().st_size == 0:
|
||||
print(" Collection is empty")
|
||||
return []
|
||||
|
||||
samples = []
|
||||
|
||||
try:
|
||||
with open(bson_file, 'rb') as f:
|
||||
sample_count = 0
|
||||
while sample_count < max_samples:
|
||||
try:
|
||||
doc_size = int.from_bytes(f.read(4), byteorder='little')
|
||||
if doc_size <= 0:
|
||||
break
|
||||
f.seek(-4, 1)
|
||||
doc_bytes = f.read(doc_size)
|
||||
if len(doc_bytes) != doc_size:
|
||||
break
|
||||
|
||||
doc = bson.decode(doc_bytes)
|
||||
samples.append(doc)
|
||||
sample_count += 1
|
||||
|
||||
print(f" Sample {sample_count} - Keys: {list(doc.keys())}")
|
||||
# Show a few key fields with their types and truncated values
|
||||
for key, value in list(doc.items())[:3]:
|
||||
value_preview = str(value)[:50] + "..." if len(str(value)) > 50 else str(value)
|
||||
print(f" {key}: {type(value).__name__} = {value_preview}")
|
||||
if len(doc) > 3:
|
||||
print(f" ... and {len(doc) - 3} more fields")
|
||||
print()
|
||||
|
||||
except (bson.InvalidBSON, struct.error, OSError) as e:
|
||||
self.log_error(collection_name, 'document_parsing', str(e))
|
||||
break
|
||||
|
||||
except Exception as e:
|
||||
self.log_error(collection_name, 'file_reading', str(e))
|
||||
print(f" Error reading collection: {e}")
|
||||
|
||||
return samples
|
||||
|
||||
def discover_collections(self):
|
||||
"""Discover all BSON files and their metadata"""
|
||||
print("Discovering MongoDB collections...")
|
||||
|
||||
for bson_file in self.mongo_db_path.glob("*.bson"):
|
||||
collection_name = bson_file.stem
|
||||
metadata_file = bson_file.with_suffix(".metadata.json")
|
||||
|
||||
# Read metadata if available
|
||||
metadata = {}
|
||||
if metadata_file.exists():
|
||||
try:
|
||||
with open(metadata_file, 'r', encoding='utf-8') as f:
|
||||
metadata = json.load(f)
|
||||
except (UnicodeDecodeError, json.JSONDecodeError) as e:
|
||||
print(f"Warning: Could not read metadata for {collection_name}: {e}")
|
||||
metadata = {}
|
||||
|
||||
# Get file size and document count estimate
|
||||
file_size = bson_file.stat().st_size
|
||||
doc_count = self._estimate_document_count(bson_file)
|
||||
|
||||
self.collections[collection_name] = {
|
||||
'bson_file': bson_file,
|
||||
'metadata': metadata,
|
||||
'file_size': file_size,
|
||||
'estimated_docs': doc_count
|
||||
}
|
||||
|
||||
print(f"Found {len(self.collections)} collections")
|
||||
for name, info in self.collections.items():
|
||||
print(f" - {name}: {info['file_size']/1024/1024:.1f}MB (~{info['estimated_docs']} docs)")
|
||||
|
||||
def _estimate_document_count(self, bson_file: Path) -> int:
|
||||
"""Estimate document count by reading first few documents"""
|
||||
if bson_file.stat().st_size == 0:
|
||||
return 0
|
||||
|
||||
try:
|
||||
with open(bson_file, 'rb') as f:
|
||||
docs_sampled = 0
|
||||
bytes_sampled = 0
|
||||
max_sample_size = min(1024 * 1024, bson_file.stat().st_size) # 1MB or file size
|
||||
|
||||
while bytes_sampled < max_sample_size:
|
||||
try:
|
||||
doc_size = int.from_bytes(f.read(4), byteorder='little')
|
||||
if doc_size <= 0 or doc_size > 16 * 1024 * 1024: # MongoDB doc size limit
|
||||
break
|
||||
f.seek(-4, 1) # Go back
|
||||
doc_bytes = f.read(doc_size)
|
||||
if len(doc_bytes) != doc_size:
|
||||
break
|
||||
bson.decode(doc_bytes) # Validate it's a valid BSON document
|
||||
docs_sampled += 1
|
||||
bytes_sampled += doc_size
|
||||
except (bson.InvalidBSON, struct.error, OSError):
|
||||
break
|
||||
|
||||
if docs_sampled > 0 and bytes_sampled > 0:
|
||||
avg_doc_size = bytes_sampled / docs_sampled
|
||||
return int(bson_file.stat().st_size / avg_doc_size)
|
||||
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
return 0
|
||||
|
||||
def analyze_schema(self, collection_name: str, sample_size: int = 100) -> Dict[str, Any]:
|
||||
"""Analyze collection schema by sampling documents"""
|
||||
print(f"Analyzing schema for {collection_name}...")
|
||||
|
||||
bson_file = self.collections[collection_name]['bson_file']
|
||||
if bson_file.stat().st_size == 0:
|
||||
return {}
|
||||
|
||||
schema = {}
|
||||
docs_analyzed = 0
|
||||
|
||||
try:
|
||||
with open(bson_file, 'rb') as f:
|
||||
while docs_analyzed < sample_size:
|
||||
try:
|
||||
doc_size = int.from_bytes(f.read(4), byteorder='little')
|
||||
if doc_size <= 0:
|
||||
break
|
||||
f.seek(-4, 1)
|
||||
doc_bytes = f.read(doc_size)
|
||||
if len(doc_bytes) != doc_size:
|
||||
break
|
||||
|
||||
doc = bson.decode(doc_bytes)
|
||||
self._analyze_document_schema(doc, schema)
|
||||
docs_analyzed += 1
|
||||
|
||||
except (bson.InvalidBSON, struct.error, OSError):
|
||||
break
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error analyzing {collection_name}: {e}")
|
||||
|
||||
self.schema_info[collection_name] = schema
|
||||
return schema
|
||||
|
||||
def _analyze_document_schema(self, doc: Dict[str, Any], schema: Dict[str, Any], prefix: str = ""):
|
||||
"""Recursively analyze document structure"""
|
||||
for key, value in doc.items():
|
||||
full_key = f"{prefix}.{key}" if prefix else key
|
||||
|
||||
if full_key not in schema:
|
||||
schema[full_key] = {
|
||||
'types': set(),
|
||||
'null_count': 0,
|
||||
'total_count': 0,
|
||||
'is_array': False,
|
||||
'nested_schema': {}
|
||||
}
|
||||
|
||||
schema[full_key]['total_count'] += 1
|
||||
|
||||
if value is None:
|
||||
schema[full_key]['null_count'] += 1
|
||||
schema[full_key]['types'].add('null')
|
||||
elif isinstance(value, dict):
|
||||
schema[full_key]['types'].add('object')
|
||||
if 'nested_schema' not in schema[full_key]:
|
||||
schema[full_key]['nested_schema'] = {}
|
||||
self._analyze_document_schema(value, schema[full_key]['nested_schema'])
|
||||
elif isinstance(value, list):
|
||||
schema[full_key]['types'].add('array')
|
||||
schema[full_key]['is_array'] = True
|
||||
if value and isinstance(value[0], dict):
|
||||
if 'array_item_schema' not in schema[full_key]:
|
||||
schema[full_key]['array_item_schema'] = {}
|
||||
for item in value[:5]: # Sample first 5 items
|
||||
if isinstance(item, dict):
|
||||
self._analyze_document_schema(item, schema[full_key]['array_item_schema'])
|
||||
else:
|
||||
schema[full_key]['types'].add(type(value).__name__)
|
||||
|
||||
def generate_postgres_schema(self) -> Dict[str, str]:
|
||||
"""Generate PostgreSQL CREATE TABLE statements"""
|
||||
print("Generating PostgreSQL schema...")
|
||||
|
||||
table_definitions = {}
|
||||
|
||||
for collection_name, schema in self.schema_info.items():
|
||||
if not schema: # Empty collection
|
||||
continue
|
||||
|
||||
table_name = self._sanitize_table_name(collection_name)
|
||||
columns = []
|
||||
|
||||
# Always add an id column (PostgreSQL doesn't use _id like MongoDB)
|
||||
columns.append("id SERIAL PRIMARY KEY")
|
||||
|
||||
for field_name, field_info in schema.items():
|
||||
if field_name == '_id':
|
||||
columns.append("mongo_id TEXT") # Always allow NULL for mongo_id
|
||||
continue
|
||||
|
||||
col_name = self._sanitize_column_name(field_name)
|
||||
|
||||
# Handle conflicts with PostgreSQL auto-generated columns
|
||||
if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
|
||||
col_name = f"field_{col_name}"
|
||||
|
||||
col_type = self._determine_postgres_type(field_info)
|
||||
|
||||
# Make all fields nullable by default to avoid constraint violations
|
||||
columns.append(f"{col_name} {col_type}")
|
||||
|
||||
# Add metadata columns
|
||||
columns.extend([
|
||||
"created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP",
|
||||
"updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP"
|
||||
])
|
||||
|
||||
column_definitions = ',\n '.join(columns)
|
||||
table_sql = f"""
|
||||
CREATE TABLE IF NOT EXISTS {table_name} (
|
||||
{column_definitions}
|
||||
);
|
||||
|
||||
-- Create indexes based on MongoDB indexes
|
||||
"""
|
||||
|
||||
# Get list of actual columns that will exist in the table
|
||||
existing_columns = set(['id', 'mongo_id', 'created_at', 'updated_at'])
|
||||
for field_name in schema.keys():
|
||||
if field_name != '_id':
|
||||
col_name = self._sanitize_column_name(field_name)
|
||||
# Handle conflicts with PostgreSQL auto-generated columns
|
||||
if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
|
||||
col_name = f"field_{col_name}"
|
||||
existing_columns.add(col_name)
|
||||
|
||||
# Add indexes from MongoDB metadata
|
||||
metadata = self.collections[collection_name].get('metadata', {})
|
||||
indexes = metadata.get('indexes', [])
|
||||
|
||||
for index in indexes:
|
||||
if index['name'] != '_id_': # Skip the default _id index
|
||||
# Sanitize index name - remove special characters
|
||||
sanitized_index_name = re.sub(r'[^a-zA-Z0-9_]', '_', index['name'])
|
||||
index_name = f"idx_{table_name}_{sanitized_index_name}"
|
||||
index_keys = list(index['key'].keys())
|
||||
if index_keys:
|
||||
sanitized_keys = []
|
||||
for key in index_keys:
|
||||
if key != '_id':
|
||||
sanitized_key = self._sanitize_column_name(key)
|
||||
# Handle conflicts with PostgreSQL auto-generated columns
|
||||
if sanitized_key in ['id', 'mongo_id', 'created_at', 'updated_at']:
|
||||
sanitized_key = f"field_{sanitized_key}"
|
||||
# Only add if the column actually exists in our table
|
||||
if sanitized_key in existing_columns:
|
||||
sanitized_keys.append(sanitized_key)
|
||||
|
||||
if sanitized_keys:
|
||||
table_sql += f"CREATE INDEX IF NOT EXISTS {index_name} ON {table_name} ({', '.join(sanitized_keys)});\n"
|
||||
|
||||
table_definitions[collection_name] = table_sql
|
||||
|
||||
return table_definitions
|
||||
|
||||
def _sanitize_table_name(self, name: str) -> str:
|
||||
"""Convert MongoDB collection name to PostgreSQL table name"""
|
||||
# Remove rocketchat_ prefix if present
|
||||
if name.startswith('rocketchat_'):
|
||||
name = name[11:]
|
||||
|
||||
# Replace special characters with underscores
|
||||
name = re.sub(r'[^a-zA-Z0-9_]', '_', name)
|
||||
|
||||
# Ensure it starts with a letter
|
||||
if name and name[0].isdigit():
|
||||
name = 'table_' + name
|
||||
|
||||
return name.lower()
|
||||
|
||||
def _sanitize_column_name(self, name: str) -> str:
|
||||
"""Convert MongoDB field name to PostgreSQL column name"""
|
||||
# Handle nested field names (convert dots to underscores)
|
||||
name = name.replace('.', '_')
|
||||
|
||||
# Replace special characters with underscores
|
||||
name = re.sub(r'[^a-zA-Z0-9_]', '_', name)
|
||||
|
||||
# Ensure it starts with a letter or underscore
|
||||
if name and name[0].isdigit():
|
||||
name = 'col_' + name
|
||||
|
||||
# Handle PostgreSQL reserved words
|
||||
reserved = {
|
||||
'user', 'order', 'group', 'table', 'index', 'key', 'value', 'date', 'time', 'timestamp',
|
||||
'default', 'select', 'from', 'where', 'insert', 'update', 'delete', 'create', 'drop',
|
||||
'alter', 'grant', 'revoke', 'commit', 'rollback', 'begin', 'end', 'case', 'when',
|
||||
'then', 'else', 'if', 'null', 'not', 'and', 'or', 'in', 'exists', 'between',
|
||||
'like', 'limit', 'offset', 'union', 'join', 'inner', 'outer', 'left', 'right',
|
||||
'full', 'cross', 'natural', 'on', 'using', 'distinct', 'all', 'any', 'some',
|
||||
'desc', 'asc', 'primary', 'foreign', 'references', 'constraint', 'unique',
|
||||
'check', 'cascade', 'restrict', 'action', 'match', 'partial', 'full'
|
||||
}
|
||||
if name.lower() in reserved:
|
||||
name = name + '_col'
|
||||
|
||||
return name.lower()
|
||||
|
||||
def _determine_postgres_type(self, field_info: Dict[str, Any]) -> str:
|
||||
"""Determine PostgreSQL column type from MongoDB field analysis with improved logic"""
|
||||
types = field_info['types']
|
||||
|
||||
# Convert set to list for easier checking
|
||||
type_list = list(types)
|
||||
|
||||
# If there's only one type (excluding null), use specific typing
|
||||
non_null_types = [t for t in type_list if t != 'null']
|
||||
|
||||
if len(non_null_types) == 1:
|
||||
single_type = non_null_types[0]
|
||||
if single_type == 'bool':
|
||||
return 'BOOLEAN'
|
||||
elif single_type == 'int':
|
||||
return 'INTEGER'
|
||||
elif single_type == 'float':
|
||||
return 'NUMERIC'
|
||||
elif single_type == 'str':
|
||||
return 'TEXT'
|
||||
elif single_type == 'datetime':
|
||||
return 'TIMESTAMP'
|
||||
elif single_type == 'ObjectId':
|
||||
return 'TEXT'
|
||||
|
||||
# Handle mixed types more conservatively
|
||||
if 'array' in types or field_info.get('is_array', False):
|
||||
return 'JSONB' # Arrays always go to JSONB
|
||||
elif 'object' in types:
|
||||
return 'JSONB' # Objects always go to JSONB
|
||||
elif len(non_null_types) > 1:
|
||||
# Multiple non-null types - check for common combinations
|
||||
if set(non_null_types) <= {'int', 'float'}:
|
||||
return 'NUMERIC' # Can handle both int and float
|
||||
elif set(non_null_types) <= {'bool', 'str'}:
|
||||
return 'TEXT' # Convert everything to text
|
||||
elif set(non_null_types) <= {'str', 'ObjectId'}:
|
||||
return 'TEXT' # Both are string-like
|
||||
else:
|
||||
return 'JSONB' # Complex mixed types go to JSONB
|
||||
elif 'ObjectId' in types:
|
||||
return 'TEXT'
|
||||
elif 'datetime' in types:
|
||||
return 'TIMESTAMP'
|
||||
elif 'bool' in types:
|
||||
return 'BOOLEAN'
|
||||
elif 'int' in types:
|
||||
return 'INTEGER'
|
||||
elif 'float' in types:
|
||||
return 'NUMERIC'
|
||||
elif 'str' in types:
|
||||
return 'TEXT'
|
||||
else:
|
||||
return 'TEXT' # Default fallback
|
||||
|
||||
def create_postgres_database(self, table_definitions: Dict[str, str]):
|
||||
"""Create PostgreSQL database and tables"""
|
||||
print("Creating PostgreSQL database schema...")
|
||||
|
||||
try:
|
||||
# Connect to PostgreSQL
|
||||
conn = psycopg2.connect(**self.postgres_config)
|
||||
conn.autocommit = True
|
||||
cursor = conn.cursor()
|
||||
|
||||
# Create tables
|
||||
for collection_name, table_sql in table_definitions.items():
|
||||
print(f"Creating table for {collection_name}...")
|
||||
cursor.execute(table_sql)
|
||||
|
||||
cursor.close()
|
||||
conn.close()
|
||||
print("Database schema created successfully!")
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error creating database schema: {e}")
|
||||
raise
|
||||
|
||||
def convert_and_insert_data(self, batch_size: int = 1000):
|
||||
"""Convert BSON data and insert into PostgreSQL"""
|
||||
print("Converting and inserting data...")
|
||||
|
||||
try:
|
||||
conn = psycopg2.connect(**self.postgres_config)
|
||||
conn.autocommit = False
|
||||
|
||||
for collection_name in self.collections:
|
||||
print(f"Processing {collection_name}...")
|
||||
self._convert_collection(conn, collection_name, batch_size)
|
||||
|
||||
conn.close()
|
||||
print("Data conversion completed successfully!")
|
||||
|
||||
except Exception as e:
|
||||
print(f"Error converting data: {e}")
|
||||
raise
|
||||
|
||||
def _convert_collection(self, conn, collection_name: str, batch_size: int):
|
||||
"""Convert a single collection"""
|
||||
bson_file = self.collections[collection_name]['bson_file']
|
||||
|
||||
if bson_file.stat().st_size == 0:
|
||||
print(f" Skipping empty collection {collection_name}")
|
||||
return
|
||||
|
||||
table_name = self._sanitize_table_name(collection_name)
|
||||
cursor = conn.cursor()
|
||||
|
||||
batch = []
|
||||
total_inserted = 0
|
||||
errors = 0
|
||||
|
||||
try:
|
||||
with open(bson_file, 'rb') as f:
|
||||
while True:
|
||||
try:
|
||||
doc_size = int.from_bytes(f.read(4), byteorder='little')
|
||||
if doc_size <= 0:
|
||||
break
|
||||
f.seek(-4, 1)
|
||||
doc_bytes = f.read(doc_size)
|
||||
if len(doc_bytes) != doc_size:
|
||||
break
|
||||
|
||||
doc = bson.decode(doc_bytes)
|
||||
batch.append(doc)
|
||||
|
||||
if len(batch) >= batch_size:
|
||||
inserted, batch_errors = self._insert_batch(cursor, table_name, batch, collection_name)
|
||||
total_inserted += inserted
|
||||
errors += batch_errors
|
||||
batch = []
|
||||
conn.commit()
|
||||
if total_inserted % 5000 == 0: # Less frequent progress updates
|
||||
print(f" Inserted {total_inserted} documents...")
|
||||
|
||||
except (bson.InvalidBSON, struct.error, OSError):
|
||||
break
|
||||
|
||||
# Insert remaining documents
|
||||
if batch:
|
||||
inserted, batch_errors = self._insert_batch(cursor, table_name, batch, collection_name)
|
||||
total_inserted += inserted
|
||||
errors += batch_errors
|
||||
conn.commit()
|
||||
|
||||
if errors > 0:
|
||||
print(f" Completed {collection_name}: {total_inserted} documents inserted ({errors} errors)")
|
||||
else:
|
||||
print(f" Completed {collection_name}: {total_inserted} documents inserted")
|
||||
|
||||
except Exception as e:
|
||||
print(f" Error processing {collection_name}: {e}")
|
||||
conn.rollback()
|
||||
finally:
|
||||
cursor.close()
|
||||
|
||||
def _insert_batch(self, cursor, table_name: str, documents: List[Dict], collection_name: str):
|
||||
"""Insert a batch of documents with proper transaction handling"""
|
||||
if not documents:
|
||||
return 0, 0
|
||||
|
||||
# Get schema info for this collection
|
||||
schema = self.schema_info.get(collection_name, {})
|
||||
|
||||
# Build column list
|
||||
columns = ['mongo_id']
|
||||
for field_name in schema.keys():
|
||||
if field_name != '_id':
|
||||
col_name = self._sanitize_column_name(field_name)
|
||||
# Handle conflicts with PostgreSQL auto-generated columns
|
||||
if col_name in ['id', 'mongo_id', 'created_at', 'updated_at']:
|
||||
col_name = f"field_{col_name}"
|
||||
columns.append(col_name)
|
||||
|
||||
# Build INSERT statement
|
||||
placeholders = ', '.join(['%s'] * len(columns))
|
||||
sql = f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES ({placeholders})"
|
||||
|
||||
self.log_debug(f"SQL: {sql}", collection_name)
|
||||
|
||||
# Convert documents to tuples
|
||||
rows = []
|
||||
errors = 0
|
||||
|
||||
for doc_idx, doc in enumerate(documents):
|
||||
try:
|
||||
row = []
|
||||
|
||||
# Add mongo_id
|
||||
row.append(str(doc.get('_id', '')))
|
||||
|
||||
# Add other fields
|
||||
for field_name in schema.keys():
|
||||
if field_name != '_id':
|
||||
try:
|
||||
value = self._get_nested_value(doc, field_name)
|
||||
converted_value = self._convert_value_for_postgres(value, field_name, schema)
|
||||
row.append(converted_value)
|
||||
except Exception as e:
|
||||
self.log_error(collection_name, 'field_conversion',
|
||||
f"Field '{field_name}' in doc {doc_idx}: {str(e)}")
|
||||
# Only show debug for collections we're focusing on
|
||||
if collection_name in self.debug_collections:
|
||||
print(f" ⚠️ Error converting field '{field_name}': {e}")
|
||||
row.append(None) # Use NULL for problematic fields
|
||||
|
||||
rows.append(tuple(row))
|
||||
|
||||
except Exception as e:
|
||||
self.log_error(collection_name, 'document_conversion', f"Document {doc_idx}: {str(e)}")
|
||||
errors += 1
|
||||
continue
|
||||
|
||||
# Execute batch insert
|
||||
if rows:
|
||||
try:
|
||||
cursor.executemany(sql, rows)
|
||||
return len(rows), errors
|
||||
except Exception as batch_error:
|
||||
self.log_error(collection_name, 'batch_insert', str(batch_error))
|
||||
|
||||
# Only show detailed debugging for targeted collections
|
||||
if collection_name in self.debug_collections:
|
||||
print(f" 🔴 Batch insert failed for {collection_name}: {batch_error}")
|
||||
print(" Trying individual inserts with rollback handling...")
|
||||
|
||||
# Rollback the failed transaction
|
||||
cursor.connection.rollback()
|
||||
|
||||
# Try inserting one by one in individual transactions
|
||||
success_count = 0
|
||||
for row_idx, row in enumerate(rows):
|
||||
try:
|
||||
cursor.execute(sql, row)
|
||||
cursor.connection.commit() # Commit each successful insert
|
||||
success_count += 1
|
||||
except Exception as row_error:
|
||||
cursor.connection.rollback() # Rollback failed insert
|
||||
self.log_error(collection_name, 'row_insert', f"Row {row_idx}: {str(row_error)}")
|
||||
|
||||
# Show detailed error only for the first few failures and only for targeted collections
|
||||
if collection_name in self.debug_collections and errors < 3:
|
||||
print(f" Row {row_idx} failed: {row_error}")
|
||||
print(f" Row data: {len(row)} values, expected {len(columns)} columns")
|
||||
|
||||
errors += 1
|
||||
continue
|
||||
return success_count, errors
|
||||
|
||||
return 0, errors
|
||||
|
||||
def _get_nested_value(self, doc: Dict, field_path: str):
|
||||
"""Get value from nested document using dot notation"""
|
||||
keys = field_path.split('.')
|
||||
value = doc
|
||||
|
||||
for key in keys:
|
||||
if isinstance(value, dict) and key in value:
|
||||
value = value[key]
|
||||
else:
|
||||
return None
|
||||
|
||||
return value
|
||||
|
||||
def _convert_value_for_postgres(self, value, field_name: str = None, schema: Dict = None):
|
||||
"""Convert MongoDB value to PostgreSQL compatible value with schema-aware conversion"""
|
||||
if value is None:
|
||||
return None
|
||||
|
||||
# Get the expected PostgreSQL type for this field if available
|
||||
expected_type = None
|
||||
if schema and field_name and field_name in schema:
|
||||
field_info = schema[field_name]
|
||||
expected_type = self._determine_postgres_type(field_info)
|
||||
|
||||
# Handle conversion based on expected type
|
||||
if expected_type == 'BOOLEAN':
|
||||
if isinstance(value, bool):
|
||||
return value
|
||||
elif isinstance(value, str):
|
||||
return value.lower() in ('true', '1', 'yes', 'on')
|
||||
elif isinstance(value, (int, float)):
|
||||
return bool(value)
|
||||
else:
|
||||
return None
|
||||
elif expected_type == 'INTEGER':
|
||||
if isinstance(value, int):
|
||||
return value
|
||||
elif isinstance(value, float):
|
||||
return int(value)
|
||||
elif isinstance(value, str) and value.isdigit():
|
||||
return int(value)
|
||||
elif isinstance(value, bool):
|
||||
return int(value)
|
||||
else:
|
||||
return None
|
||||
elif expected_type == 'NUMERIC':
|
||||
if isinstance(value, (int, float)):
|
||||
return value
|
||||
elif isinstance(value, str):
|
||||
try:
|
||||
return float(value)
|
||||
except ValueError:
|
||||
return None
|
||||
elif isinstance(value, bool):
|
||||
return float(value)
|
||||
else:
|
||||
return None
|
||||
elif expected_type == 'TEXT':
|
||||
if isinstance(value, str):
|
||||
return value
|
||||
elif value is not None:
|
||||
str_value = str(value)
|
||||
# Handle very long strings
|
||||
if len(str_value) > 65535:
|
||||
return str_value[:65535]
|
||||
return str_value
|
||||
else:
|
||||
return None
|
||||
elif expected_type == 'TIMESTAMP':
|
||||
if hasattr(value, 'isoformat'):
|
||||
return value.isoformat()
|
||||
elif isinstance(value, str):
|
||||
return value
|
||||
else:
|
||||
return str(value) if value is not None else None
|
||||
elif expected_type == 'JSONB':
|
||||
if isinstance(value, (dict, list)):
|
||||
return json.dumps(value, default=self._json_serializer)
|
||||
elif isinstance(value, str):
|
||||
# Check if it's already valid JSON
|
||||
try:
|
||||
json.loads(value)
|
||||
return value
|
||||
except (json.JSONDecodeError, TypeError):
|
||||
# Not valid JSON, wrap it
|
||||
return json.dumps(value)
|
||||
else:
|
||||
return json.dumps(value, default=self._json_serializer)
|
||||
|
||||
# Fallback to original logic if no expected type or type not recognized
|
||||
if isinstance(value, bool):
|
||||
return value
|
||||
elif isinstance(value, (int, float)):
|
||||
return value
|
||||
elif isinstance(value, str):
|
||||
return value
|
||||
elif isinstance(value, (dict, list)):
|
||||
return json.dumps(value, default=self._json_serializer)
|
||||
elif hasattr(value, 'isoformat'): # datetime
|
||||
return value.isoformat()
|
||||
elif hasattr(value, '__str__'):
|
||||
str_value = str(value)
|
||||
if len(str_value) > 65535:
|
||||
return str_value[:65535]
|
||||
return str_value
|
||||
else:
|
||||
return str(value)
|
||||
|
||||
def _json_serializer(self, obj):
|
||||
"""Custom JSON serializer for complex objects with better error handling"""
|
||||
try:
|
||||
if hasattr(obj, 'isoformat'): # datetime
|
||||
return obj.isoformat()
|
||||
elif hasattr(obj, '__str__'):
|
||||
return str(obj)
|
||||
else:
|
||||
return None
|
||||
except Exception as e:
|
||||
self.log_debug(f"JSON serialization error: {e}")
|
||||
return str(obj)
|
||||
|
||||
def run_conversion(self, sample_size: int = 100, batch_size: int = 1000):
|
||||
"""Run the full conversion process with focused debugging"""
|
||||
print("Starting MongoDB to PostgreSQL conversion...")
|
||||
print("This will convert your Rocket.Chat database from MongoDB to PostgreSQL")
|
||||
if self.debug_mode:
|
||||
if self.debug_collections:
|
||||
print(f"🐛 DEBUG MODE: Focusing on collections: {', '.join(self.debug_collections)}")
|
||||
else:
|
||||
print("🐛 DEBUG MODE: All collections")
|
||||
print("=" * 70)
|
||||
|
||||
# Step 1: Discover collections
|
||||
self.discover_collections()
|
||||
|
||||
# Step 2: Analyze schemas
|
||||
print("\nAnalyzing collection schemas...")
|
||||
for collection_name in self.collections:
|
||||
self.analyze_schema(collection_name, sample_size)
|
||||
|
||||
# Sample problematic collections if debugging
|
||||
if self.debug_mode and self.debug_collections:
|
||||
for coll in self.debug_collections:
|
||||
if coll in self.collections:
|
||||
self.sample_documents(coll, 2)
|
||||
|
||||
# Step 3: Generate PostgreSQL schema
|
||||
table_definitions = self.generate_postgres_schema()
|
||||
|
||||
# Step 4: Create database schema
|
||||
self.create_postgres_database(table_definitions)
|
||||
|
||||
# Step 5: Convert and insert data
|
||||
self.convert_and_insert_data(batch_size)
|
||||
|
||||
# Step 6: Show error summary
|
||||
self._print_error_summary()
|
||||
|
||||
print("=" * 70)
|
||||
print("✅ Conversion completed!")
|
||||
print(f" Database: {self.postgres_config['database']}")
|
||||
print(f" Tables created: {len(table_definitions)}")
|
||||
|
||||
def _print_error_summary(self):
|
||||
"""Print a focused summary of errors"""
|
||||
if not self.error_log:
|
||||
print("\n✅ No errors encountered during conversion!")
|
||||
return
|
||||
|
||||
print("\n⚠️ ERROR SUMMARY:")
|
||||
print("=" * 50)
|
||||
|
||||
# Sort by error count descending
|
||||
sorted_collections = sorted(self.error_log.items(),
|
||||
key=lambda x: len(x[1]), reverse=True)
|
||||
|
||||
for collection, errors in sorted_collections:
|
||||
error_types = {}
|
||||
for error in errors:
|
||||
error_type = error['type']
|
||||
if error_type not in error_types:
|
||||
error_types[error_type] = []
|
||||
error_types[error_type].append(error['details'])
|
||||
|
||||
print(f"\n🔴 {collection} ({len(errors)} total errors):")
|
||||
for error_type, details_list in error_types.items():
|
||||
print(f" {error_type}: {len(details_list)} errors")
|
||||
|
||||
# Show sample errors for critical collections
|
||||
if collection in ['rocketchat_settings', 'rocketchat_room'] and len(details_list) > 0:
|
||||
print(f" Sample: {details_list[0][:100]}...")
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(
|
||||
description='Convert MongoDB BSON export to PostgreSQL',
|
||||
formatter_class=argparse.RawDescriptionHelpFormatter,
|
||||
epilog="""
|
||||
Examples:
|
||||
# Basic usage
|
||||
python3 mongo_to_postgres_converter.py \\
|
||||
--mongo-path db/database/62df06d44234d20001289144 \\
|
||||
--pg-database rocketchat_converted \\
|
||||
--pg-user rocketchat_user \\
|
||||
--pg-password mypassword
|
||||
|
||||
# Debug specific failing collections
|
||||
python3 mongo_to_postgres_converter.py \\
|
||||
--mongo-path db/database/62df06d44234d20001289144 \\
|
||||
--pg-database rocketchat_converted \\
|
||||
--pg-user rocketchat_user \\
|
||||
--pg-password mypassword \\
|
||||
--debug-collections rocketchat_settings rocketchat_room
|
||||
|
||||
Before running this script:
|
||||
1. Run: sudo -u postgres psql -f reset_database.sql
|
||||
2. Update the password in reset_database.sql
|
||||
"""
|
||||
)
|
||||
|
||||
parser.add_argument('--mongo-path', required=True, help='Path to MongoDB export directory')
|
||||
parser.add_argument('--pg-host', default='localhost', help='PostgreSQL host (default: localhost)')
|
||||
parser.add_argument('--pg-port', default='5432', help='PostgreSQL port (default: 5432)')
|
||||
parser.add_argument('--pg-database', required=True, help='PostgreSQL database name')
|
||||
parser.add_argument('--pg-user', required=True, help='PostgreSQL username')
|
||||
parser.add_argument('--pg-password', required=True, help='PostgreSQL password')
|
||||
parser.add_argument('--sample-size', type=int, default=100, help='Number of documents to sample for schema analysis (default: 100)')
|
||||
parser.add_argument('--batch-size', type=int, default=1000, help='Batch size for data insertion (default: 1000)')
|
||||
parser.add_argument('--debug', action='store_true', help='Enable debug mode with detailed error logging')
|
||||
parser.add_argument('--debug-collections', nargs='*', help='Specific collections to debug (e.g., rocketchat_settings rocketchat_room)')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
postgres_config = {
|
||||
'host': args.pg_host,
|
||||
'port': args.pg_port,
|
||||
'database': args.pg_database,
|
||||
'user': args.pg_user,
|
||||
'password': args.pg_password
|
||||
}
|
||||
|
||||
# Enable debug mode if debug collections are specified
|
||||
debug_mode = args.debug or (args.debug_collections is not None)
|
||||
|
||||
converter = MongoToPostgresConverter(args.mongo_path, postgres_config, debug_mode, args.debug_collections)
|
||||
converter.run_conversion(args.sample_size, args.batch_size)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@@ -1,41 +0,0 @@
|
||||
-- PostgreSQL Database Reset Script for Rocket.Chat Import
|
||||
-- Run as: sudo -u postgres psql -f reset_database.sql
|
||||
|
||||
-- Terminate all connections to the database (force disconnect users)
|
||||
SELECT pg_terminate_backend(pid)
|
||||
FROM pg_stat_activity
|
||||
WHERE datname = 'rocketchat_converted' AND pid <> pg_backend_pid();
|
||||
|
||||
-- Drop the database if it exists
|
||||
DROP DATABASE IF EXISTS rocketchat_converted;
|
||||
|
||||
-- Create fresh database
|
||||
CREATE DATABASE rocketchat_converted;
|
||||
|
||||
-- Create user (if not exists)
|
||||
DO $$
|
||||
BEGIN
|
||||
IF NOT EXISTS (SELECT FROM pg_user WHERE usename = 'rocketchat_user') THEN
|
||||
CREATE USER rocketchat_user WITH PASSWORD 'HKjLgt23gWuPXzEAn3rW';
|
||||
END IF;
|
||||
END $$;
|
||||
|
||||
-- Grant database privileges
|
||||
GRANT CONNECT ON DATABASE rocketchat_converted TO rocketchat_user;
|
||||
GRANT CREATE ON DATABASE rocketchat_converted TO rocketchat_user;
|
||||
|
||||
-- Connect to the new database
|
||||
\c rocketchat_converted;
|
||||
|
||||
-- Grant schema privileges
|
||||
GRANT CREATE ON SCHEMA public TO rocketchat_user;
|
||||
GRANT USAGE ON SCHEMA public TO rocketchat_user;
|
||||
|
||||
-- Grant privileges on all future tables and sequences
|
||||
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT, INSERT, UPDATE, DELETE ON TABLES TO rocketchat_user;
|
||||
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT USAGE, SELECT ON SEQUENCES TO rocketchat_user;
|
||||
|
||||
-- Display success message
|
||||
\echo 'Database reset completed successfully!'
|
||||
\echo 'You can now run the converter with:'
|
||||
\echo 'python3 mongo_to_postgres_converter.py --mongo-path db/database/62df06d44234d20001289144 --pg-database rocketchat_converted --pg-user rocketchat_user --pg-password your_password'
|
||||
@@ -1,54 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Quick test script to verify the converter fixes work for problematic collections
|
||||
"""
|
||||
|
||||
from mongo_to_postgres_converter import MongoToPostgresConverter
|
||||
|
||||
def test_problematic_collections():
|
||||
print("🧪 Testing converter fixes for problematic collections...")
|
||||
|
||||
postgres_config = {
|
||||
'host': 'localhost',
|
||||
'port': '5432',
|
||||
'database': 'rocketchat_test',
|
||||
'user': 'rocketchat_user',
|
||||
'password': 'password123'
|
||||
}
|
||||
|
||||
converter = MongoToPostgresConverter(
|
||||
'db/database/62df06d44234d20001289144',
|
||||
postgres_config,
|
||||
debug_mode=True,
|
||||
debug_collections=['rocketchat_settings', 'rocketchat_room']
|
||||
)
|
||||
|
||||
# Test just discovery and schema analysis
|
||||
print("\n1. Testing collection discovery...")
|
||||
converter.discover_collections()
|
||||
|
||||
print("\n2. Testing schema analysis...")
|
||||
if 'rocketchat_settings' in converter.collections:
|
||||
settings_schema = converter.analyze_schema('rocketchat_settings', 10)
|
||||
print(f"Settings schema fields: {len(settings_schema)}")
|
||||
|
||||
# Check specific problematic fields
|
||||
if 'packageValue' in settings_schema:
|
||||
packagevalue_info = settings_schema['packageValue']
|
||||
pg_type = converter._determine_postgres_type(packagevalue_info)
|
||||
print(f"packageValue types: {packagevalue_info['types']} -> PostgreSQL: {pg_type}")
|
||||
|
||||
if 'rocketchat_room' in converter.collections:
|
||||
room_schema = converter.analyze_schema('rocketchat_room', 10)
|
||||
print(f"Room schema fields: {len(room_schema)}")
|
||||
|
||||
# Check specific problematic fields
|
||||
if 'sysMes' in room_schema:
|
||||
sysmes_info = room_schema['sysMes']
|
||||
pg_type = converter._determine_postgres_type(sysmes_info)
|
||||
print(f"sysMes types: {sysmes_info['types']} -> PostgreSQL: {pg_type}")
|
||||
|
||||
print("\n✅ Test completed - check the type mappings above!")
|
||||
|
||||
if __name__ == '__main__':
|
||||
test_problematic_collections()
|
||||
@@ -1,147 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Chat Database Export Script
|
||||
# This script exports the chat database schema and data for migration
|
||||
|
||||
set -e # Exit on any error
|
||||
|
||||
echo "🚀 Starting chat database export..."
|
||||
|
||||
# Configuration - Update these values for your setup
|
||||
DB_HOST="${CHAT_DB_HOST:-localhost}"
|
||||
DB_PORT="${CHAT_DB_PORT:-5432}"
|
||||
DB_NAME="${CHAT_DB_NAME:-rocketchat_converted}"
|
||||
DB_USER="${CHAT_DB_USER:-rocketchat_user}"
|
||||
|
||||
# Check if database connection info is available
|
||||
if [ -z "$CHAT_DB_PASSWORD" ]; then
|
||||
echo "⚠️ CHAT_DB_PASSWORD environment variable not set"
|
||||
echo "Please set it with: export CHAT_DB_PASSWORD='your_password'"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "📊 Database: $DB_NAME on $DB_HOST:$DB_PORT"
|
||||
|
||||
# Create export directory
|
||||
EXPORT_DIR="chat-migration-$(date +%Y%m%d-%H%M%S)"
|
||||
mkdir -p "$EXPORT_DIR"
|
||||
|
||||
echo "📁 Export directory: $EXPORT_DIR"
|
||||
|
||||
# Export database schema
|
||||
echo "📋 Exporting database schema..."
|
||||
PGPASSWORD="$CHAT_DB_PASSWORD" pg_dump \
|
||||
-h "$DB_HOST" \
|
||||
-p "$DB_PORT" \
|
||||
-U "$DB_USER" \
|
||||
-d "$DB_NAME" \
|
||||
--schema-only \
|
||||
--no-owner \
|
||||
--no-privileges \
|
||||
-f "$EXPORT_DIR/chat-schema.sql"
|
||||
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "✅ Schema exported successfully"
|
||||
else
|
||||
echo "❌ Schema export failed"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Export database data
|
||||
echo "💾 Exporting database data..."
|
||||
PGPASSWORD="$CHAT_DB_PASSWORD" pg_dump \
|
||||
-h "$DB_HOST" \
|
||||
-p "$DB_PORT" \
|
||||
-U "$DB_USER" \
|
||||
-d "$DB_NAME" \
|
||||
--data-only \
|
||||
--no-owner \
|
||||
--no-privileges \
|
||||
--disable-triggers \
|
||||
--column-inserts \
|
||||
-f "$EXPORT_DIR/chat-data.sql"
|
||||
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "✅ Data exported successfully"
|
||||
else
|
||||
echo "❌ Data export failed"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Export file uploads and avatars
|
||||
echo "📎 Exporting chat files (uploads and avatars)..."
|
||||
if [ -d "db-convert/db/files" ]; then
|
||||
cd db-convert/db
|
||||
tar -czf "../../$EXPORT_DIR/chat-files.tar.gz" files/
|
||||
cd ../..
|
||||
echo "✅ Files exported successfully"
|
||||
else
|
||||
echo "⚠️ No files directory found at db-convert/db/files"
|
||||
echo " This is normal if you have no file uploads"
|
||||
touch "$EXPORT_DIR/chat-files.tar.gz"
|
||||
fi
|
||||
|
||||
# Get table statistics for verification
|
||||
echo "📈 Generating export statistics..."
|
||||
PGPASSWORD="$CHAT_DB_PASSWORD" psql \
|
||||
-h "$DB_HOST" \
|
||||
-p "$DB_PORT" \
|
||||
-U "$DB_USER" \
|
||||
-d "$DB_NAME" \
|
||||
-c "
|
||||
SELECT
|
||||
schemaname,
|
||||
tablename,
|
||||
n_tup_ins as inserted_rows,
|
||||
n_tup_upd as updated_rows,
|
||||
n_tup_del as deleted_rows,
|
||||
n_live_tup as live_rows,
|
||||
n_dead_tup as dead_rows
|
||||
FROM pg_stat_user_tables
|
||||
ORDER BY n_live_tup DESC;
|
||||
" > "$EXPORT_DIR/table-stats.txt"
|
||||
|
||||
# Create export summary
|
||||
cat > "$EXPORT_DIR/export-summary.txt" << EOF
|
||||
Chat Database Export Summary
|
||||
===========================
|
||||
|
||||
Export Date: $(date)
|
||||
Database: $DB_NAME
|
||||
Host: $DB_HOST:$DB_PORT
|
||||
User: $DB_USER
|
||||
|
||||
Files Generated:
|
||||
- chat-schema.sql: Database schema (tables, indexes, constraints)
|
||||
- chat-data.sql: All table data
|
||||
- chat-files.tar.gz: Uploaded files and avatars
|
||||
- table-stats.txt: Database statistics
|
||||
- export-summary.txt: This summary
|
||||
|
||||
Next Steps:
|
||||
1. Transfer these files to your new server
|
||||
2. Run create-new-database.sql on the new server first
|
||||
3. Run import-chat-data.sh on the new server
|
||||
4. Update your application configuration
|
||||
5. Run verify-migration.js to validate the migration
|
||||
|
||||
Important Notes:
|
||||
- Keep these files secure as they contain your chat data
|
||||
- Ensure the new server has enough disk space
|
||||
- Plan for application downtime during the migration
|
||||
EOF
|
||||
|
||||
echo ""
|
||||
echo "🎉 Export completed successfully!"
|
||||
echo "📁 Files are in: $EXPORT_DIR/"
|
||||
echo ""
|
||||
echo "📋 Export Summary:"
|
||||
ls -lh "$EXPORT_DIR/"
|
||||
echo ""
|
||||
echo "🚚 Next steps:"
|
||||
echo "1. Transfer the $EXPORT_DIR/ directory to your new server"
|
||||
echo "2. Run create-new-database.sql on the new server (update password first!)"
|
||||
echo "3. Run import-chat-data.sh on the new server"
|
||||
echo ""
|
||||
echo "💡 To transfer files to new server:"
|
||||
echo " scp -r $EXPORT_DIR/ user@new-server:/tmp/"
|
||||
@@ -1,167 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# Chat Database Import Script
|
||||
# This script imports the chat database schema and data on the new server
|
||||
|
||||
set -e # Exit on any error
|
||||
|
||||
echo "🚀 Starting chat database import..."
|
||||
|
||||
# Configuration - Update these values for your new server
|
||||
DB_HOST="${CHAT_DB_HOST:-localhost}"
|
||||
DB_PORT="${CHAT_DB_PORT:-5432}"
|
||||
DB_NAME="${CHAT_DB_NAME:-rocketchat_converted}"
|
||||
DB_USER="${CHAT_DB_USER:-rocketchat_user}"
|
||||
|
||||
# Check if database connection info is available
|
||||
if [ -z "$CHAT_DB_PASSWORD" ]; then
|
||||
echo "⚠️ CHAT_DB_PASSWORD environment variable not set"
|
||||
echo "Please set it with: export CHAT_DB_PASSWORD='your_password'"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Find the migration directory
|
||||
MIGRATION_DIR=""
|
||||
if [ -d "/tmp" ]; then
|
||||
MIGRATION_DIR=$(find /tmp -maxdepth 1 -name "chat-migration-*" -type d | head -1)
|
||||
fi
|
||||
|
||||
if [ -z "$MIGRATION_DIR" ]; then
|
||||
echo "❌ No migration directory found in /tmp/"
|
||||
echo "Please specify the migration directory:"
|
||||
read -p "Enter full path to migration directory: " MIGRATION_DIR
|
||||
fi
|
||||
|
||||
if [ ! -d "$MIGRATION_DIR" ]; then
|
||||
echo "❌ Migration directory not found: $MIGRATION_DIR"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
echo "📁 Using migration directory: $MIGRATION_DIR"
|
||||
echo "📊 Target database: $DB_NAME on $DB_HOST:$DB_PORT"
|
||||
|
||||
# Verify required files exist
|
||||
REQUIRED_FILES=("chat-schema.sql" "chat-data.sql" "chat-files.tar.gz")
|
||||
for file in "${REQUIRED_FILES[@]}"; do
|
||||
if [ ! -f "$MIGRATION_DIR/$file" ]; then
|
||||
echo "❌ Required file not found: $MIGRATION_DIR/$file"
|
||||
exit 1
|
||||
fi
|
||||
done
|
||||
|
||||
echo "✅ All required files found"
|
||||
|
||||
# Test database connection
|
||||
echo "🔗 Testing database connection..."
|
||||
PGPASSWORD="$CHAT_DB_PASSWORD" psql \
|
||||
-h "$DB_HOST" \
|
||||
-p "$DB_PORT" \
|
||||
-U "$DB_USER" \
|
||||
-d "$DB_NAME" \
|
||||
-c "SELECT version();" > /dev/null
|
||||
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "✅ Database connection successful"
|
||||
else
|
||||
echo "❌ Database connection failed"
|
||||
echo "Please ensure:"
|
||||
echo " 1. PostgreSQL is running"
|
||||
echo " 2. Database '$DB_NAME' exists"
|
||||
echo " 3. User '$DB_USER' has access"
|
||||
echo " 4. Password is correct"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Import database schema
|
||||
echo "📋 Importing database schema..."
|
||||
PGPASSWORD="$CHAT_DB_PASSWORD" psql \
|
||||
-h "$DB_HOST" \
|
||||
-p "$DB_PORT" \
|
||||
-U "$DB_USER" \
|
||||
-d "$DB_NAME" \
|
||||
-f "$MIGRATION_DIR/chat-schema.sql"
|
||||
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "✅ Schema imported successfully"
|
||||
else
|
||||
echo "❌ Schema import failed"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Import database data
|
||||
echo "💾 Importing database data..."
|
||||
echo " This may take a while depending on data size..."
|
||||
|
||||
PGPASSWORD="$CHAT_DB_PASSWORD" psql \
|
||||
-h "$DB_HOST" \
|
||||
-p "$DB_PORT" \
|
||||
-U "$DB_USER" \
|
||||
-d "$DB_NAME" \
|
||||
-f "$MIGRATION_DIR/chat-data.sql"
|
||||
|
||||
if [ $? -eq 0 ]; then
|
||||
echo "✅ Data imported successfully"
|
||||
else
|
||||
echo "❌ Data import failed"
|
||||
echo "Check the error messages above for details"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
# Create files directory and import files
|
||||
echo "📎 Setting up files directory..."
|
||||
mkdir -p "db-convert/db"
|
||||
|
||||
if [ -s "$MIGRATION_DIR/chat-files.tar.gz" ]; then
|
||||
echo "📂 Extracting chat files..."
|
||||
cd db-convert/db
|
||||
tar -xzf "$MIGRATION_DIR/chat-files.tar.gz"
|
||||
cd ../..
|
||||
|
||||
# Set proper permissions
|
||||
if [ -d "db-convert/db/files" ]; then
|
||||
chmod -R 755 db-convert/db/files
|
||||
echo "✅ Files imported and permissions set"
|
||||
else
|
||||
echo "⚠️ Files directory not created properly"
|
||||
fi
|
||||
else
|
||||
echo "ℹ️ No files to import (empty archive)"
|
||||
mkdir -p "db-convert/db/files/uploads"
|
||||
mkdir -p "db-convert/db/files/avatars"
|
||||
fi
|
||||
|
||||
# Get final table statistics
|
||||
echo "📈 Generating import statistics..."
|
||||
PGPASSWORD="$CHAT_DB_PASSWORD" psql \
|
||||
-h "$DB_HOST" \
|
||||
-p "$DB_PORT" \
|
||||
-U "$DB_USER" \
|
||||
-d "$DB_NAME" \
|
||||
-c "
|
||||
SELECT
|
||||
tablename,
|
||||
n_live_tup as row_count
|
||||
FROM pg_stat_user_tables
|
||||
WHERE schemaname = 'public'
|
||||
ORDER BY n_live_tup DESC;
|
||||
"
|
||||
|
||||
# Create import summary
|
||||
echo ""
|
||||
echo "🎉 Import completed successfully!"
|
||||
echo ""
|
||||
echo "📋 Import Summary:"
|
||||
echo " Database: $DB_NAME"
|
||||
echo " Host: $DB_HOST:$DB_PORT"
|
||||
echo " Files location: $(pwd)/db-convert/db/files/"
|
||||
echo ""
|
||||
echo "🔍 Next steps:"
|
||||
echo "1. Update your application configuration to use this database"
|
||||
echo "2. Run verify-migration.js to validate the migration"
|
||||
echo "3. Test your application thoroughly"
|
||||
echo "4. Update DNS/load balancer to point to new server"
|
||||
echo ""
|
||||
echo "⚠️ Important:"
|
||||
echo "- Keep the original data as backup until migration is fully validated"
|
||||
echo "- Monitor the application closely after switching"
|
||||
echo "- Have a rollback plan ready"
|
||||
@@ -1,86 +0,0 @@
|
||||
# Chat Database Migration Guide
|
||||
|
||||
This guide will help you migrate your chat database from the current server to a new PostgreSQL server.
|
||||
|
||||
## Overview
|
||||
Your chat system uses:
|
||||
- Database: `rocketchat_converted` (PostgreSQL)
|
||||
- Main tables: users, message, room, uploads, avatars, subscription
|
||||
- File storage: db-convert/db/files/ directory with uploads and avatars
|
||||
- Environment configuration for database connection
|
||||
|
||||
## Migration Steps
|
||||
|
||||
### 1. Pre-Migration Setup
|
||||
|
||||
On your **new server**, ensure PostgreSQL is installed and running:
|
||||
```bash
|
||||
# Install PostgreSQL (if not already done)
|
||||
sudo apt update
|
||||
sudo apt install postgresql postgresql-contrib
|
||||
|
||||
# Start PostgreSQL service
|
||||
sudo systemctl start postgresql
|
||||
sudo systemctl enable postgresql
|
||||
```
|
||||
|
||||
### 2. Create Database Schema on New Server
|
||||
|
||||
Run the provided migration script:
|
||||
```bash
|
||||
# On new server
|
||||
sudo -u postgres psql -f create-new-database.sql
|
||||
```
|
||||
|
||||
### 3. Export Data from Current Server
|
||||
|
||||
Run the export script:
|
||||
```bash
|
||||
# On current server
|
||||
./export-chat-data.sh
|
||||
```
|
||||
|
||||
This will create:
|
||||
- `chat-schema.sql` - Database schema
|
||||
- `chat-data.sql` - All table data
|
||||
- `chat-files.tar.gz` - All uploaded files and avatars
|
||||
|
||||
### 4. Transfer Data to New Server
|
||||
|
||||
```bash
|
||||
# Copy files to new server
|
||||
scp chat-schema.sql chat-data.sql chat-files.tar.gz user@new-server:/tmp/
|
||||
```
|
||||
|
||||
### 5. Import Data on New Server
|
||||
|
||||
```bash
|
||||
# On new server
|
||||
./import-chat-data.sh
|
||||
```
|
||||
|
||||
### 6. Update Configuration
|
||||
|
||||
Update your environment variables to point to the new database server.
|
||||
|
||||
### 7. Verify Migration
|
||||
|
||||
Run the verification script to ensure everything transferred correctly:
|
||||
```bash
|
||||
node verify-migration.js
|
||||
```
|
||||
|
||||
## Files Provided
|
||||
|
||||
1. `create-new-database.sql` - Creates database and user on new server
|
||||
2. `export-chat-data.sh` - Exports data from current server
|
||||
3. `import-chat-data.sh` - Imports data to new server
|
||||
4. `verify-migration.js` - Verifies data integrity
|
||||
5. `update-config-template.env` - Template for new configuration
|
||||
|
||||
## Important Notes
|
||||
|
||||
- **Backup first**: Always backup your current database before migration
|
||||
- **Downtime**: Plan for application downtime during migration
|
||||
- **File permissions**: Ensure file permissions are preserved during transfer
|
||||
- **Network access**: Ensure new server can accept connections from your application
|
||||
1446
inventory-server/chat/package-lock.json
generated
1446
inventory-server/chat/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,20 +0,0 @@
|
||||
{
|
||||
"name": "chat-server",
|
||||
"version": "1.0.0",
|
||||
"description": "Chat archive server for Rocket.Chat data",
|
||||
"main": "server.js",
|
||||
"scripts": {
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"express": "^4.18.2",
|
||||
"cors": "^2.8.5",
|
||||
"pg": "^8.11.0",
|
||||
"dotenv": "^16.0.3",
|
||||
"morgan": "^1.10.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^2.0.22"
|
||||
}
|
||||
}
|
||||
@@ -1,649 +0,0 @@
|
||||
const express = require('express');
|
||||
const path = require('path');
|
||||
const router = express.Router();
|
||||
|
||||
// Serve uploaded files with proper mapping from database paths to actual file locations
|
||||
router.get('/files/uploads/*', async (req, res) => {
|
||||
try {
|
||||
// Extract the path from the URL (everything after /files/uploads/)
|
||||
const requestPath = req.params[0];
|
||||
|
||||
// The URL path will be like: ufs/AmazonS3:Uploads/274Mf9CyHNG72oF86/filename.jpg
|
||||
// We need to extract the mongo_id (274Mf9CyHNG72oF86) from this path
|
||||
const pathParts = requestPath.split('/');
|
||||
let mongoId = null;
|
||||
|
||||
// Find the mongo_id in the path structure
|
||||
for (let i = 0; i < pathParts.length; i++) {
|
||||
if (pathParts[i].includes('AmazonS3:Uploads') && i + 1 < pathParts.length) {
|
||||
mongoId = pathParts[i + 1];
|
||||
break;
|
||||
}
|
||||
// Sometimes the mongo_id might be the last part of ufs/AmazonS3:Uploads/mongoId
|
||||
if (pathParts[i] === 'AmazonS3:Uploads' && i + 1 < pathParts.length) {
|
||||
mongoId = pathParts[i + 1];
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
if (!mongoId) {
|
||||
// Try to get mongo_id from database by matching the full path
|
||||
const result = await global.pool.query(`
|
||||
SELECT mongo_id, name, type
|
||||
FROM uploads
|
||||
WHERE path = $1 OR url = $1
|
||||
LIMIT 1
|
||||
`, [`/ufs/AmazonS3:Uploads/${requestPath}`, `/ufs/AmazonS3:Uploads/${requestPath}`]);
|
||||
|
||||
if (result.rows.length > 0) {
|
||||
mongoId = result.rows[0].mongo_id;
|
||||
}
|
||||
}
|
||||
|
||||
if (!mongoId) {
|
||||
return res.status(404).json({ error: 'File not found' });
|
||||
}
|
||||
|
||||
// The actual file is stored with just the mongo_id as filename
|
||||
const filePath = path.join(__dirname, 'db-convert/db/files/uploads', mongoId);
|
||||
|
||||
// Get file info from database for proper content-type
|
||||
const fileInfo = await global.pool.query(`
|
||||
SELECT name, type
|
||||
FROM uploads
|
||||
WHERE mongo_id = $1
|
||||
LIMIT 1
|
||||
`, [mongoId]);
|
||||
|
||||
if (fileInfo.rows.length === 0) {
|
||||
return res.status(404).json({ error: 'File metadata not found' });
|
||||
}
|
||||
|
||||
const { name, type } = fileInfo.rows[0];
|
||||
|
||||
// Set proper content type
|
||||
if (type) {
|
||||
res.set('Content-Type', type);
|
||||
}
|
||||
|
||||
// Set content disposition with original filename
|
||||
if (name) {
|
||||
res.set('Content-Disposition', `inline; filename="${name}"`);
|
||||
}
|
||||
|
||||
// Send the file
|
||||
res.sendFile(filePath, (err) => {
|
||||
if (err) {
|
||||
console.error('Error serving file:', err);
|
||||
if (!res.headersSent) {
|
||||
res.status(404).json({ error: 'File not found on disk' });
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error serving upload:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
}
|
||||
});
|
||||
|
||||
// Also serve files directly by mongo_id for simpler access
|
||||
router.get('/files/by-id/:mongoId', async (req, res) => {
|
||||
try {
|
||||
const { mongoId } = req.params;
|
||||
|
||||
// Get file info from database
|
||||
const fileInfo = await global.pool.query(`
|
||||
SELECT name, type
|
||||
FROM uploads
|
||||
WHERE mongo_id = $1
|
||||
LIMIT 1
|
||||
`, [mongoId]);
|
||||
|
||||
if (fileInfo.rows.length === 0) {
|
||||
return res.status(404).json({ error: 'File not found' });
|
||||
}
|
||||
|
||||
const { name, type } = fileInfo.rows[0];
|
||||
const filePath = path.join(__dirname, 'db-convert/db/files/uploads', mongoId);
|
||||
|
||||
// Set proper content type and filename
|
||||
if (type) {
|
||||
res.set('Content-Type', type);
|
||||
}
|
||||
|
||||
if (name) {
|
||||
res.set('Content-Disposition', `inline; filename="${name}"`);
|
||||
}
|
||||
|
||||
// Send the file
|
||||
res.sendFile(filePath, (err) => {
|
||||
if (err) {
|
||||
console.error('Error serving file:', err);
|
||||
if (!res.headersSent) {
|
||||
res.status(404).json({ error: 'File not found on disk' });
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error serving upload by ID:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
}
|
||||
});
|
||||
|
||||
// Serve user avatars by mongo_id
|
||||
router.get('/avatar/:mongoId', async (req, res) => {
|
||||
try {
|
||||
const { mongoId } = req.params;
|
||||
|
||||
console.log(`[Avatar Debug] Looking up avatar for user mongo_id: ${mongoId}`);
|
||||
|
||||
// First try to find avatar by user's avataretag
|
||||
const userResult = await global.pool.query(`
|
||||
SELECT avataretag, username FROM users WHERE mongo_id = $1
|
||||
`, [mongoId]);
|
||||
|
||||
let avatarPath = null;
|
||||
|
||||
if (userResult.rows.length > 0) {
|
||||
const username = userResult.rows[0].username;
|
||||
const avataretag = userResult.rows[0].avataretag;
|
||||
|
||||
// Try method 1: Look up by avataretag -> etag (for users with avataretag set)
|
||||
if (avataretag) {
|
||||
console.log(`[Avatar Debug] Found user ${username} with avataretag: ${avataretag}`);
|
||||
|
||||
const avatarResult = await global.pool.query(`
|
||||
SELECT url, path FROM avatars WHERE etag = $1
|
||||
`, [avataretag]);
|
||||
|
||||
if (avatarResult.rows.length > 0) {
|
||||
const dbPath = avatarResult.rows[0].path || avatarResult.rows[0].url;
|
||||
console.log(`[Avatar Debug] Found avatar record with path: ${dbPath}`);
|
||||
|
||||
if (dbPath) {
|
||||
const pathParts = dbPath.split('/');
|
||||
for (let i = 0; i < pathParts.length; i++) {
|
||||
if (pathParts[i].includes('AmazonS3:Avatars') && i + 1 < pathParts.length) {
|
||||
const avatarMongoId = pathParts[i + 1];
|
||||
avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', avatarMongoId);
|
||||
console.log(`[Avatar Debug] Extracted avatar mongo_id: ${avatarMongoId}, full path: ${avatarPath}`);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.log(`[Avatar Debug] No avatar record found for etag: ${avataretag}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Try method 2: Look up by userid directly (for users without avataretag)
|
||||
if (!avatarPath) {
|
||||
console.log(`[Avatar Debug] Trying direct userid lookup for user ${username} (${mongoId})`);
|
||||
|
||||
const avatarResult = await global.pool.query(`
|
||||
SELECT url, path FROM avatars WHERE userid = $1
|
||||
`, [mongoId]);
|
||||
|
||||
if (avatarResult.rows.length > 0) {
|
||||
const dbPath = avatarResult.rows[0].path || avatarResult.rows[0].url;
|
||||
console.log(`[Avatar Debug] Found avatar record by userid with path: ${dbPath}`);
|
||||
|
||||
if (dbPath) {
|
||||
const pathParts = dbPath.split('/');
|
||||
for (let i = 0; i < pathParts.length; i++) {
|
||||
if (pathParts[i].includes('AmazonS3:Avatars') && i + 1 < pathParts.length) {
|
||||
const avatarMongoId = pathParts[i + 1];
|
||||
avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', avatarMongoId);
|
||||
console.log(`[Avatar Debug] Extracted avatar mongo_id: ${avatarMongoId}, full path: ${avatarPath}`);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.log(`[Avatar Debug] No avatar record found for userid: ${mongoId}`);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
console.log(`[Avatar Debug] No user found for mongo_id: ${mongoId}`);
|
||||
}
|
||||
|
||||
// Fallback: try direct lookup by user mongo_id
|
||||
if (!avatarPath) {
|
||||
avatarPath = path.join(__dirname, 'db-convert/db/files/avatars', mongoId);
|
||||
console.log(`[Avatar Debug] Using fallback path: ${avatarPath}`);
|
||||
}
|
||||
|
||||
// Set proper content type for images
|
||||
res.set('Content-Type', 'image/jpeg'); // Most avatars are likely JPEG
|
||||
|
||||
// Send the file
|
||||
res.sendFile(avatarPath, (err) => {
|
||||
if (err) {
|
||||
// If avatar doesn't exist, send a default 404 or generate initials
|
||||
console.log(`[Avatar Debug] Avatar file not found at path: ${avatarPath}, error:`, err.message);
|
||||
if (!res.headersSent) {
|
||||
res.status(404).json({ error: 'Avatar not found' });
|
||||
}
|
||||
} else {
|
||||
console.log(`[Avatar Debug] Successfully served avatar from: ${avatarPath}`);
|
||||
}
|
||||
});
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error serving avatar:', error);
|
||||
res.status(500).json({ error: 'Server error' });
|
||||
}
|
||||
});
|
||||
|
||||
// Serve avatars statically as fallback
|
||||
router.use('/files/avatars', express.static(path.join(__dirname, 'db-convert/db/files/avatars')));
|
||||
|
||||
// Get all users for the "view as" dropdown (active and inactive)
|
||||
router.get('/users', async (req, res) => {
|
||||
try {
|
||||
const result = await global.pool.query(`
|
||||
SELECT id, username, name, type, active, status, lastlogin,
|
||||
statustext, utcoffset, statusconnection, mongo_id, avataretag
|
||||
FROM users
|
||||
WHERE type = 'user'
|
||||
ORDER BY
|
||||
active DESC, -- Active users first
|
||||
CASE
|
||||
WHEN status = 'online' THEN 1
|
||||
WHEN status = 'away' THEN 2
|
||||
WHEN status = 'busy' THEN 3
|
||||
ELSE 4
|
||||
END,
|
||||
name ASC
|
||||
`);
|
||||
|
||||
res.json({
|
||||
status: 'success',
|
||||
users: result.rows
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error fetching users:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
error: 'Failed to fetch users',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get rooms for a specific user with enhanced room names for direct messages
|
||||
router.get('/users/:userId/rooms', async (req, res) => {
|
||||
const { userId } = req.params;
|
||||
|
||||
try {
|
||||
// Get the current user's mongo_id for filtering
|
||||
const userResult = await global.pool.query(`
|
||||
SELECT mongo_id, username FROM users WHERE id = $1
|
||||
`, [userId]);
|
||||
|
||||
if (userResult.rows.length === 0) {
|
||||
return res.status(404).json({
|
||||
status: 'error',
|
||||
error: 'User not found'
|
||||
});
|
||||
}
|
||||
|
||||
const currentUserMongoId = userResult.rows[0].mongo_id;
|
||||
const currentUsername = userResult.rows[0].username;
|
||||
|
||||
// Get rooms where the user is a member with proper naming from subscription table
|
||||
// Include archived and closed rooms but sort them at the bottom
|
||||
const result = await global.pool.query(`
|
||||
SELECT DISTINCT
|
||||
r.id,
|
||||
r.mongo_id as room_mongo_id,
|
||||
r.name,
|
||||
r.fname,
|
||||
r.t as type,
|
||||
r.msgs,
|
||||
r.lm as last_message_date,
|
||||
r.usernames,
|
||||
r.uids,
|
||||
r.userscount,
|
||||
r.description,
|
||||
r.teamid,
|
||||
r.archived,
|
||||
s.open,
|
||||
-- Use the subscription's name for direct messages (excludes current user)
|
||||
-- For channels/groups, use room's fname or name
|
||||
CASE
|
||||
WHEN r.t = 'd' THEN COALESCE(s.fname, s.name, 'Unknown User')
|
||||
ELSE COALESCE(r.fname, r.name, 'Unnamed Room')
|
||||
END as display_name
|
||||
FROM room r
|
||||
JOIN subscription s ON s.rid = r.mongo_id
|
||||
WHERE s.u->>'_id' = $1
|
||||
ORDER BY
|
||||
s.open DESC NULLS LAST, -- Open rooms first
|
||||
r.archived NULLS FIRST, -- Non-archived first (nulls treated as false)
|
||||
r.lm DESC NULLS LAST
|
||||
LIMIT 50
|
||||
`, [currentUserMongoId]);
|
||||
|
||||
// Enhance rooms with participant information for direct messages
|
||||
const enhancedRooms = await Promise.all(result.rows.map(async (room) => {
|
||||
if (room.type === 'd' && room.uids) {
|
||||
// Get participant info (excluding current user) for direct messages
|
||||
const participantResult = await global.pool.query(`
|
||||
SELECT u.username, u.name, u.mongo_id, u.avataretag
|
||||
FROM users u
|
||||
WHERE u.mongo_id = ANY($1::text[])
|
||||
AND u.mongo_id != $2
|
||||
`, [room.uids, currentUserMongoId]);
|
||||
|
||||
room.participants = participantResult.rows;
|
||||
}
|
||||
return room;
|
||||
}));
|
||||
|
||||
res.json({
|
||||
status: 'success',
|
||||
rooms: enhancedRooms
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error fetching user rooms:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
error: 'Failed to fetch user rooms',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get room details including participants
|
||||
router.get('/rooms/:roomId', async (req, res) => {
|
||||
const { roomId } = req.params;
|
||||
const { userId } = req.query; // Accept current user ID as query parameter
|
||||
|
||||
try {
|
||||
const result = await global.pool.query(`
|
||||
SELECT r.id, r.name, r.fname, r.t as type, r.msgs, r.description,
|
||||
r.lm as last_message_date, r.usernames, r.uids, r.userscount, r.teamid
|
||||
FROM room r
|
||||
WHERE r.id = $1
|
||||
`, [roomId]);
|
||||
|
||||
if (result.rows.length === 0) {
|
||||
return res.status(404).json({
|
||||
status: 'error',
|
||||
error: 'Room not found'
|
||||
});
|
||||
}
|
||||
|
||||
const room = result.rows[0];
|
||||
|
||||
// For direct messages, get the proper display name based on current user
|
||||
if (room.type === 'd' && room.uids && userId) {
|
||||
// Get current user's mongo_id
|
||||
const userResult = await global.pool.query(`
|
||||
SELECT mongo_id FROM users WHERE id = $1
|
||||
`, [userId]);
|
||||
|
||||
if (userResult.rows.length > 0) {
|
||||
const currentUserMongoId = userResult.rows[0].mongo_id;
|
||||
|
||||
// Get display name from subscription table for this user
|
||||
// Use room mongo_id to match with subscription.rid
|
||||
const roomMongoResult = await global.pool.query(`
|
||||
SELECT mongo_id FROM room WHERE id = $1
|
||||
`, [roomId]);
|
||||
|
||||
if (roomMongoResult.rows.length > 0) {
|
||||
const roomMongoId = roomMongoResult.rows[0].mongo_id;
|
||||
|
||||
const subscriptionResult = await global.pool.query(`
|
||||
SELECT fname, name FROM subscription
|
||||
WHERE rid = $1 AND u->>'_id' = $2
|
||||
`, [roomMongoId, currentUserMongoId]);
|
||||
|
||||
if (subscriptionResult.rows.length > 0) {
|
||||
const sub = subscriptionResult.rows[0];
|
||||
room.display_name = sub.fname || sub.name || 'Unknown User';
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Get all participants for additional info
|
||||
const participantResult = await global.pool.query(`
|
||||
SELECT username, name
|
||||
FROM users
|
||||
WHERE mongo_id = ANY($1::text[])
|
||||
`, [room.uids]);
|
||||
|
||||
room.participants = participantResult.rows;
|
||||
} else {
|
||||
// For channels/groups, use room's fname or name
|
||||
room.display_name = room.fname || room.name || 'Unnamed Room';
|
||||
}
|
||||
|
||||
res.json({
|
||||
status: 'success',
|
||||
room: room
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error fetching room details:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
error: 'Failed to fetch room details',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get messages for a specific room (fast, without attachments)
|
||||
router.get('/rooms/:roomId/messages', async (req, res) => {
|
||||
const { roomId } = req.params;
|
||||
const { limit = 50, offset = 0, before } = req.query;
|
||||
|
||||
try {
|
||||
// Fast query - just get messages without expensive attachment joins
|
||||
let query = `
|
||||
SELECT m.id, m.msg, m.ts, m.u, m._updatedat, m.urls, m.mentions, m.md
|
||||
FROM message m
|
||||
JOIN room r ON m.rid = r.mongo_id
|
||||
WHERE r.id = $1
|
||||
`;
|
||||
|
||||
const params = [roomId];
|
||||
|
||||
if (before) {
|
||||
query += ` AND m.ts < $${params.length + 1}`;
|
||||
params.push(before);
|
||||
}
|
||||
|
||||
query += ` ORDER BY m.ts DESC LIMIT $${params.length + 1} OFFSET $${params.length + 2}`;
|
||||
params.push(limit, offset);
|
||||
|
||||
const result = await global.pool.query(query, params);
|
||||
|
||||
// Add empty attachments array for now - attachments will be loaded separately if needed
|
||||
const messages = result.rows.map(msg => ({
|
||||
...msg,
|
||||
attachments: []
|
||||
}));
|
||||
|
||||
res.json({
|
||||
status: 'success',
|
||||
messages: messages.reverse() // Reverse to show oldest first
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error fetching messages:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
error: 'Failed to fetch messages',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get attachments for specific messages (called separately for performance)
|
||||
router.post('/messages/attachments', async (req, res) => {
|
||||
const { messageIds } = req.body;
|
||||
|
||||
if (!messageIds || !Array.isArray(messageIds) || messageIds.length === 0) {
|
||||
return res.json({ status: 'success', attachments: {} });
|
||||
}
|
||||
|
||||
try {
|
||||
// Get room mongo_id from first message to limit search scope
|
||||
const roomQuery = await global.pool.query(`
|
||||
SELECT r.mongo_id as room_mongo_id
|
||||
FROM message m
|
||||
JOIN room r ON m.rid = r.mongo_id
|
||||
WHERE m.id = $1
|
||||
LIMIT 1
|
||||
`, [messageIds[0]]);
|
||||
|
||||
if (roomQuery.rows.length === 0) {
|
||||
return res.json({ status: 'success', attachments: {} });
|
||||
}
|
||||
|
||||
const roomMongoId = roomQuery.rows[0].room_mongo_id;
|
||||
|
||||
// Get messages and their upload timestamps
|
||||
const messagesQuery = await global.pool.query(`
|
||||
SELECT m.id, m.ts, m.u->>'_id' as user_id
|
||||
FROM message m
|
||||
WHERE m.id = ANY($1::int[])
|
||||
`, [messageIds]);
|
||||
|
||||
if (messagesQuery.rows.length === 0) {
|
||||
return res.json({ status: 'success', attachments: {} });
|
||||
}
|
||||
|
||||
// Build a map of user_id -> array of message timestamps for efficient lookup
|
||||
const userTimeMap = {};
|
||||
const messageMap = {};
|
||||
messagesQuery.rows.forEach(msg => {
|
||||
if (!userTimeMap[msg.user_id]) {
|
||||
userTimeMap[msg.user_id] = [];
|
||||
}
|
||||
userTimeMap[msg.user_id].push(msg.ts);
|
||||
messageMap[msg.id] = { ts: msg.ts, user_id: msg.user_id };
|
||||
});
|
||||
|
||||
// Get attachments for this room and these users
|
||||
const uploadsQuery = await global.pool.query(`
|
||||
SELECT mongo_id, name, size, type, url, path, typegroup, identify,
|
||||
userid, uploadedat
|
||||
FROM uploads
|
||||
WHERE rid = $1
|
||||
AND userid = ANY($2::text[])
|
||||
ORDER BY uploadedat
|
||||
`, [roomMongoId, Object.keys(userTimeMap)]);
|
||||
|
||||
// Match attachments to messages based on timestamp proximity (within 5 minutes)
|
||||
const attachmentsByMessage = {};
|
||||
|
||||
uploadsQuery.rows.forEach(upload => {
|
||||
const uploadTime = new Date(upload.uploadedat).getTime();
|
||||
|
||||
// Find the closest message from this user within 5 minutes
|
||||
let closestMessageId = null;
|
||||
let closestTimeDiff = Infinity;
|
||||
|
||||
Object.entries(messageMap).forEach(([msgId, msgData]) => {
|
||||
if (msgData.user_id === upload.userid) {
|
||||
const msgTime = new Date(msgData.ts).getTime();
|
||||
const timeDiff = Math.abs(uploadTime - msgTime);
|
||||
|
||||
if (timeDiff < 300000 && timeDiff < closestTimeDiff) { // 5 minutes = 300000ms
|
||||
closestMessageId = msgId;
|
||||
closestTimeDiff = timeDiff;
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
if (closestMessageId) {
|
||||
if (!attachmentsByMessage[closestMessageId]) {
|
||||
attachmentsByMessage[closestMessageId] = [];
|
||||
}
|
||||
|
||||
attachmentsByMessage[closestMessageId].push({
|
||||
id: upload.id,
|
||||
mongo_id: upload.mongo_id,
|
||||
name: upload.name,
|
||||
size: upload.size,
|
||||
type: upload.type,
|
||||
url: upload.url,
|
||||
path: upload.path,
|
||||
typegroup: upload.typegroup,
|
||||
identify: upload.identify
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
res.json({
|
||||
status: 'success',
|
||||
attachments: attachmentsByMessage
|
||||
});
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error fetching message attachments:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
error: 'Failed to fetch attachments',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Search messages in accessible rooms for a user
|
||||
router.get('/users/:userId/search', async (req, res) => {
|
||||
const { userId } = req.params;
|
||||
const { q, limit = 20 } = req.query;
|
||||
|
||||
if (!q || q.length < 2) {
|
||||
return res.status(400).json({
|
||||
status: 'error',
|
||||
error: 'Search query must be at least 2 characters'
|
||||
});
|
||||
}
|
||||
|
||||
try {
|
||||
const userResult = await global.pool.query(`
|
||||
SELECT mongo_id FROM users WHERE id = $1
|
||||
`, [userId]);
|
||||
|
||||
if (userResult.rows.length === 0) {
|
||||
return res.status(404).json({
|
||||
status: 'error',
|
||||
error: 'User not found'
|
||||
});
|
||||
}
|
||||
|
||||
const currentUserMongoId = userResult.rows[0].mongo_id;
|
||||
|
||||
const result = await global.pool.query(`
|
||||
SELECT m.id, m.msg, m.ts, m.u, r.id as room_id, r.name as room_name, r.fname as room_fname, r.t as room_type
|
||||
FROM message m
|
||||
JOIN room r ON m.rid = r.mongo_id
|
||||
JOIN subscription s ON s.rid = r.mongo_id AND s.u->>'_id' = $1
|
||||
WHERE m.msg ILIKE $2
|
||||
AND r.archived IS NOT TRUE
|
||||
ORDER BY m.ts DESC
|
||||
LIMIT $3
|
||||
`, [currentUserMongoId, `%${q}%`, limit]);
|
||||
|
||||
res.json({
|
||||
status: 'success',
|
||||
results: result.rows
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error searching messages:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
error: 'Failed to search messages',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -33,7 +33,7 @@ global.pool = pool;
|
||||
app.use(express.json());
|
||||
app.use(morgan('combined'));
|
||||
app.use(cors({
|
||||
origin: ['http://localhost:5175', 'http://localhost:5174', 'https://inventory.kent.pw', 'https://acot.site', 'https://tools.acherryontop.com'],
|
||||
origin: ['http://localhost:5175', 'http://localhost:5174', 'https://inventory.kent.pw', 'https://tools.acherryontop.com', 'https://tools.acherryontop.com'],
|
||||
credentials: true
|
||||
}));
|
||||
|
||||
|
||||
@@ -1,26 +0,0 @@
|
||||
# Chat Server Database Configuration Template
|
||||
# Copy this to your .env file and update the values for your new server
|
||||
|
||||
# Database Configuration for New Server
|
||||
CHAT_DB_HOST=your-new-server-ip-or-hostname
|
||||
CHAT_DB_PORT=5432
|
||||
CHAT_DB_NAME=rocketchat_converted
|
||||
CHAT_DB_USER=rocketchat_user
|
||||
CHAT_DB_PASSWORD=your-secure-password
|
||||
|
||||
# Chat Server Port
|
||||
CHAT_PORT=3014
|
||||
|
||||
# Example configuration:
|
||||
# CHAT_DB_HOST=192.168.1.100
|
||||
# CHAT_DB_PORT=5432
|
||||
# CHAT_DB_NAME=rocketchat_converted
|
||||
# CHAT_DB_USER=rocketchat_user
|
||||
# CHAT_DB_PASSWORD=MySecureP@ssw0rd123
|
||||
|
||||
# Notes:
|
||||
# - Replace 'your-new-server-ip-or-hostname' with actual server address
|
||||
# - Use a strong password for CHAT_DB_PASSWORD
|
||||
# - Ensure the new server allows connections from your application server
|
||||
# - Update any firewall rules to allow PostgreSQL connections (port 5432)
|
||||
# - Test connectivity before updating production configuration
|
||||
@@ -1,231 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
|
||||
/**
|
||||
* Chat Database Migration Verification Script
|
||||
*
|
||||
* This script verifies that the chat database migration was successful
|
||||
* by comparing record counts and testing basic functionality.
|
||||
*/
|
||||
|
||||
require('dotenv').config({ path: '../.env' });
|
||||
const { Pool } = require('pg');
|
||||
|
||||
// Database configuration
|
||||
const pool = new Pool({
|
||||
host: process.env.CHAT_DB_HOST || 'localhost',
|
||||
user: process.env.CHAT_DB_USER || 'rocketchat_user',
|
||||
password: process.env.CHAT_DB_PASSWORD,
|
||||
database: process.env.CHAT_DB_NAME || 'rocketchat_converted',
|
||||
port: process.env.CHAT_DB_PORT || 5432,
|
||||
});
|
||||
|
||||
const originalStats = process.argv[2] ? JSON.parse(process.argv[2]) : null;
|
||||
|
||||
async function verifyMigration() {
|
||||
console.log('🔍 Starting migration verification...\n');
|
||||
|
||||
try {
|
||||
// Test basic connection
|
||||
console.log('🔗 Testing database connection...');
|
||||
const versionResult = await pool.query('SELECT version()');
|
||||
console.log('✅ Database connection successful');
|
||||
console.log(` PostgreSQL version: ${versionResult.rows[0].version.split(' ')[1]}\n`);
|
||||
|
||||
// Get table statistics
|
||||
console.log('📊 Checking table statistics...');
|
||||
const statsResult = await pool.query(`
|
||||
SELECT
|
||||
tablename,
|
||||
n_live_tup as row_count,
|
||||
n_dead_tup as dead_rows,
|
||||
schemaname
|
||||
FROM pg_stat_user_tables
|
||||
WHERE schemaname = 'public'
|
||||
ORDER BY n_live_tup DESC
|
||||
`);
|
||||
|
||||
if (statsResult.rows.length === 0) {
|
||||
console.log('❌ No tables found! Migration may have failed.');
|
||||
return false;
|
||||
}
|
||||
|
||||
console.log('📋 Table Statistics:');
|
||||
console.log(' Table Name | Row Count | Dead Rows');
|
||||
console.log(' -------------------|-----------|----------');
|
||||
|
||||
let totalRows = 0;
|
||||
const tableStats = {};
|
||||
|
||||
for (const row of statsResult.rows) {
|
||||
const rowCount = parseInt(row.row_count) || 0;
|
||||
const deadRows = parseInt(row.dead_rows) || 0;
|
||||
totalRows += rowCount;
|
||||
tableStats[row.tablename] = rowCount;
|
||||
|
||||
console.log(` ${row.tablename.padEnd(18)} | ${rowCount.toString().padStart(9)} | ${deadRows.toString().padStart(8)}`);
|
||||
}
|
||||
|
||||
console.log(`\n Total rows across all tables: ${totalRows}\n`);
|
||||
|
||||
// Verify critical tables exist and have data
|
||||
const criticalTables = ['users', 'message', 'room'];
|
||||
console.log('🔑 Checking critical tables...');
|
||||
|
||||
for (const table of criticalTables) {
|
||||
if (tableStats[table] > 0) {
|
||||
console.log(`✅ ${table}: ${tableStats[table]} rows`);
|
||||
} else if (tableStats[table] === 0) {
|
||||
console.log(`⚠️ ${table}: table exists but is empty`);
|
||||
} else {
|
||||
console.log(`❌ ${table}: table not found`);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
// Test specific functionality
|
||||
console.log('\n🧪 Testing specific functionality...');
|
||||
|
||||
// Test users table
|
||||
const userTest = await pool.query(`
|
||||
SELECT COUNT(*) as total_users,
|
||||
COUNT(*) FILTER (WHERE active = true) as active_users,
|
||||
COUNT(*) FILTER (WHERE type = 'user') as regular_users
|
||||
FROM users
|
||||
`);
|
||||
|
||||
if (userTest.rows[0]) {
|
||||
const { total_users, active_users, regular_users } = userTest.rows[0];
|
||||
console.log(`✅ Users: ${total_users} total, ${active_users} active, ${regular_users} regular users`);
|
||||
}
|
||||
|
||||
// Test messages table
|
||||
const messageTest = await pool.query(`
|
||||
SELECT COUNT(*) as total_messages,
|
||||
COUNT(DISTINCT rid) as unique_rooms,
|
||||
MIN(ts) as oldest_message,
|
||||
MAX(ts) as newest_message
|
||||
FROM message
|
||||
`);
|
||||
|
||||
if (messageTest.rows[0]) {
|
||||
const { total_messages, unique_rooms, oldest_message, newest_message } = messageTest.rows[0];
|
||||
console.log(`✅ Messages: ${total_messages} total across ${unique_rooms} rooms`);
|
||||
if (oldest_message && newest_message) {
|
||||
console.log(` Date range: ${oldest_message.toISOString().split('T')[0]} to ${newest_message.toISOString().split('T')[0]}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Test rooms table
|
||||
const roomTest = await pool.query(`
|
||||
SELECT COUNT(*) as total_rooms,
|
||||
COUNT(*) FILTER (WHERE t = 'c') as channels,
|
||||
COUNT(*) FILTER (WHERE t = 'p') as private_groups,
|
||||
COUNT(*) FILTER (WHERE t = 'd') as direct_messages
|
||||
FROM room
|
||||
`);
|
||||
|
||||
if (roomTest.rows[0]) {
|
||||
const { total_rooms, channels, private_groups, direct_messages } = roomTest.rows[0];
|
||||
console.log(`✅ Rooms: ${total_rooms} total (${channels} channels, ${private_groups} private, ${direct_messages} DMs)`);
|
||||
}
|
||||
|
||||
// Test file uploads if table exists
|
||||
if (tableStats.uploads > 0) {
|
||||
const uploadTest = await pool.query(`
|
||||
SELECT COUNT(*) as total_uploads,
|
||||
COUNT(DISTINCT typegroup) as file_types,
|
||||
pg_size_pretty(SUM(size)) as total_size
|
||||
FROM uploads
|
||||
WHERE size IS NOT NULL
|
||||
`);
|
||||
|
||||
if (uploadTest.rows[0]) {
|
||||
const { total_uploads, file_types, total_size } = uploadTest.rows[0];
|
||||
console.log(`✅ Uploads: ${total_uploads} files, ${file_types} types, ${total_size || 'unknown size'}`);
|
||||
}
|
||||
}
|
||||
|
||||
// Test server health endpoint simulation
|
||||
console.log('\n🏥 Testing application endpoints simulation...');
|
||||
|
||||
try {
|
||||
const healthTest = await pool.query(`
|
||||
SELECT
|
||||
(SELECT COUNT(*) FROM users WHERE active = true) as active_users,
|
||||
(SELECT COUNT(*) FROM message) as total_messages,
|
||||
(SELECT COUNT(*) FROM room) as total_rooms
|
||||
`);
|
||||
|
||||
if (healthTest.rows[0]) {
|
||||
const stats = healthTest.rows[0];
|
||||
console.log('✅ Health check simulation passed');
|
||||
console.log(` Active users: ${stats.active_users}`);
|
||||
console.log(` Total messages: ${stats.total_messages}`);
|
||||
console.log(` Total rooms: ${stats.total_rooms}`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.log(`⚠️ Health check simulation failed: ${error.message}`);
|
||||
}
|
||||
|
||||
// Check indexes
|
||||
console.log('\n📇 Checking database indexes...');
|
||||
const indexResult = await pool.query(`
|
||||
SELECT
|
||||
schemaname,
|
||||
tablename,
|
||||
indexname,
|
||||
indexdef
|
||||
FROM pg_indexes
|
||||
WHERE schemaname = 'public'
|
||||
ORDER BY tablename, indexname
|
||||
`);
|
||||
|
||||
const indexesByTable = {};
|
||||
for (const idx of indexResult.rows) {
|
||||
if (!indexesByTable[idx.tablename]) {
|
||||
indexesByTable[idx.tablename] = [];
|
||||
}
|
||||
indexesByTable[idx.tablename].push(idx.indexname);
|
||||
}
|
||||
|
||||
for (const [table, indexes] of Object.entries(indexesByTable)) {
|
||||
console.log(` ${table}: ${indexes.length} indexes`);
|
||||
}
|
||||
|
||||
console.log('\n🎉 Migration verification completed successfully!');
|
||||
console.log('\n✅ Summary:');
|
||||
console.log(` - Database connection: Working`);
|
||||
console.log(` - Tables created: ${statsResult.rows.length}`);
|
||||
console.log(` - Total data rows: ${totalRows}`);
|
||||
console.log(` - Critical tables: All present`);
|
||||
console.log(` - Indexes: ${indexResult.rows.length} total`);
|
||||
|
||||
console.log('\n🚀 Next steps:');
|
||||
console.log(' 1. Update your application configuration');
|
||||
console.log(' 2. Start your chat server');
|
||||
console.log(' 3. Test chat functionality in the browser');
|
||||
console.log(' 4. Monitor logs for any issues');
|
||||
|
||||
return true;
|
||||
|
||||
} catch (error) {
|
||||
console.error('❌ Migration verification failed:', error.message);
|
||||
console.error('\n🔧 Troubleshooting steps:');
|
||||
console.error(' 1. Check database connection settings');
|
||||
console.error(' 2. Verify database and user exist');
|
||||
console.error(' 3. Check PostgreSQL logs');
|
||||
console.error(' 4. Ensure import completed without errors');
|
||||
return false;
|
||||
} finally {
|
||||
await pool.end();
|
||||
}
|
||||
}
|
||||
|
||||
// Run verification
|
||||
if (require.main === module) {
|
||||
verifyMigration().then(success => {
|
||||
process.exit(success ? 0 : 1);
|
||||
});
|
||||
}
|
||||
|
||||
module.exports = { verifyMigration };
|
||||
@@ -1,20 +0,0 @@
|
||||
# Caching Server Configuration
|
||||
PORT=3010
|
||||
NODE_ENV=production
|
||||
|
||||
# Database Configuration
|
||||
MONGODB_URI=mongodb://dashboard_user:WDRFWiGXEeaC6aAyUKuT@localhost:27017/dashboard?authSource=dashboard
|
||||
REDIS_URL=redis://:Wgj32YXxxVLtPZoVzUnP@localhost:6379
|
||||
|
||||
# Gorgias
|
||||
GORGIAS_API_USERNAME=matt@acherryontop.com
|
||||
GORGIAS_API_PASSWORD=d2ed0d23d2a7bf11a633a12fb260769f4e4a970d440693e7d64b8d2223fa6503
|
||||
|
||||
# GA4 credentials
|
||||
GA_PROPERTY_ID=281045851
|
||||
GOOGLE_APPLICATION_CREDENTIALS_JSON={"type": "service_account","project_id": "acot-stats","private_key_id": "259d1fd9864efbfa38b8ba02fdd74dc008ace3c5","private_key": "-----BEGIN PRIVATE KEY-----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\nJlC2e/RPUQKxScpK3nNK9mc=\n-----END PRIVATE KEY-----\n","client_email": "matt-dashboard@acot-stats.iam.gserviceaccount.com","client_id": "106112731322970982546","auth_uri": "https://accounts.google.com/o/oauth2/auth","token_uri": "https://oauth2.googleapis.com/token","auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs","client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/matt-dashboard%40acot-stats.iam.gserviceaccount.com","universe_domain": "googleapis.com"}
|
||||
|
||||
# Logging
|
||||
LOG_LEVEL=info
|
||||
LOG_MAX_SIZE=10m
|
||||
LOG_MAX_FILES=5
|
||||
@@ -1,205 +0,0 @@
|
||||
# ACOT Server
|
||||
|
||||
This server replaces the Klaviyo integration with direct database queries to the production MySQL database via SSH tunnel. It provides seamless API compatibility for all frontend components without requiring any frontend changes.
|
||||
|
||||
## Setup
|
||||
|
||||
1. **Environment Variables**: Copy `.env.example` to `.env` and configure:
|
||||
```
|
||||
DB_HOST=localhost
|
||||
DB_PORT=3306
|
||||
DB_USER=your_db_user
|
||||
DB_PASSWORD=your_db_password
|
||||
DB_NAME=your_db_name
|
||||
PORT=3007
|
||||
NODE_ENV=development
|
||||
```
|
||||
|
||||
2. **SSH Tunnel**: Ensure your SSH tunnel to the production database is running on localhost:3306.
|
||||
|
||||
3. **Install Dependencies**:
|
||||
```bash
|
||||
npm install
|
||||
```
|
||||
|
||||
4. **Start Server**:
|
||||
```bash
|
||||
npm start
|
||||
```
|
||||
|
||||
## API Endpoints
|
||||
|
||||
All endpoints provide exact API compatibility with the previous Klaviyo implementation:
|
||||
|
||||
### Main Statistics
|
||||
- `GET /api/acot/events/stats` - Complete statistics dashboard data
|
||||
- Query params: `timeRange` (today, yesterday, thisWeek, lastWeek, thisMonth, lastMonth, last7days, last30days, last90days) or `startDate`/`endDate` for custom ranges
|
||||
- Returns: Revenue, orders, AOV, shipping data, order types, brands/categories, refunds, cancellations, best day, peak hour, order ranges, period progress, projections
|
||||
|
||||
### Daily Details
|
||||
- `GET /api/acot/events/stats/details` - Daily breakdown with previous period comparisons
|
||||
- Query params: `timeRange`, `metric` (revenue, orders, average_order, etc.), `daily=true`
|
||||
- Returns: Array of daily data points with trend comparisons
|
||||
|
||||
### Products
|
||||
- `GET /api/acot/events/products` - Top products with sales data
|
||||
- Query params: `timeRange`
|
||||
- Returns: Product list with images, sales quantities, revenue, and order counts
|
||||
|
||||
### Projections
|
||||
- `GET /api/acot/events/projection` - Smart revenue projections for incomplete periods
|
||||
- Query params: `timeRange`
|
||||
- Returns: Projected revenue with confidence levels based on historical patterns
|
||||
|
||||
### Health Check
|
||||
- `GET /api/acot/test` - Server health and database connectivity test
|
||||
|
||||
## Database Schema
|
||||
|
||||
The server queries the following main tables:
|
||||
|
||||
### Orders (`_order`)
|
||||
- **Key fields**: `order_id`, `date_placed`, `summary_total`, `order_status`, `ship_method_selected`, `stats_waiting_preorder`
|
||||
- **Valid orders**: `order_status > 15`
|
||||
- **Cancelled orders**: `order_status = 15`
|
||||
- **Shipped orders**: `order_status IN (100, 92)`
|
||||
- **Pre-orders**: `stats_waiting_preorder > 0`
|
||||
- **Local pickup**: `ship_method_selected = 'localpickup'`
|
||||
- **On-hold orders**: `ship_method_selected = 'holdit'`
|
||||
|
||||
### Order Items (`order_items`)
|
||||
- **Fields**: `order_id`, `prod_pid`, `qty_ordered`, `prod_price`
|
||||
- **Purpose**: Links orders to products for detailed analysis
|
||||
|
||||
### Products (`products`)
|
||||
- **Fields**: `pid`, `description` (product name), `company`
|
||||
- **Purpose**: Product information and brand data
|
||||
|
||||
### Product Images (`product_images`)
|
||||
- **Fields**: `pid`, `iid`, `order` (priority)
|
||||
- **Primary image**: `order = 255` (highest priority)
|
||||
- **Image URL generation**: `https://sbing.com/i/products/0000/{prefix}/{pid}-{type}-{iid}.jpg`
|
||||
|
||||
### Payments (`order_payment`)
|
||||
- **Refunds**: `payment_amount < 0`
|
||||
- **Purpose**: Track refund amounts and counts
|
||||
|
||||
## Business Logic
|
||||
|
||||
### Time Handling
|
||||
- **Timezone**: All calculations in UTC-5 (Eastern Time)
|
||||
- **Business Day**: 1 AM - 12:59 AM Eastern (25-hour business day)
|
||||
- **Format**: MySQL DATETIME format (YYYY-MM-DD HH:MM:SS)
|
||||
- **Period Boundaries**: Calculated using `timeUtils.js` for consistent time range handling
|
||||
|
||||
### Order Processing
|
||||
- **Revenue Calculation**: Only includes orders with `order_status > 15`
|
||||
- **Order Types**:
|
||||
- Pre-orders: `stats_waiting_preorder > 0`
|
||||
- Local pickup: `ship_method_selected = 'localpickup'`
|
||||
- On-hold: `ship_method_selected = 'holdit'`
|
||||
- **Shipping Methods**: Mapped to friendly names (e.g., `usps_ground_advantage` → "USPS Ground Advantage")
|
||||
|
||||
### Projections
|
||||
- **Period Progress**: Calculated based on current time within the selected period
|
||||
- **Simple Projection**: Linear extrapolation based on current progress
|
||||
- **Smart Projection**: Uses historical data patterns for more accurate forecasting
|
||||
- **Confidence Levels**: Based on data consistency and historical accuracy
|
||||
|
||||
### Image URL Generation
|
||||
- **Pattern**: `https://sbing.com/i/products/0000/{prefix}/{pid}-{type}-{iid}.jpg`
|
||||
- **Prefix**: First 2 digits of product ID
|
||||
- **Type**: "main" for primary images
|
||||
- **Fallback**: Uses primary image (order=255) when available
|
||||
|
||||
## Frontend Integration
|
||||
|
||||
### Service Layer (`services/acotService.js`)
|
||||
- **Purpose**: Replaces direct Klaviyo API calls with acot-server calls
|
||||
- **Methods**: `getStats()`, `getStatsDetails()`, `getProducts()`, `getProjection()`
|
||||
- **Logging**: Axios interceptors for request/response logging
|
||||
- **Environment**: Automatic URL handling (proxy in dev, direct in production)
|
||||
|
||||
### Component Updates
|
||||
All 5 main components updated to use `acotService`:
|
||||
- **StatCards.jsx**: Main dashboard statistics
|
||||
- **MiniStatCards.jsx**: Compact statistics view
|
||||
- **SalesChart.jsx**: Revenue and order trends
|
||||
- **MiniSalesChart.jsx**: Compact chart view
|
||||
- **ProductGrid.jsx**: Top products table
|
||||
|
||||
### Proxy Configuration (`vite.config.js`)
|
||||
```javascript
|
||||
'/api/acot': {
|
||||
target: 'http://localhost:3007',
|
||||
changeOrigin: true,
|
||||
secure: false
|
||||
}
|
||||
```
|
||||
|
||||
## Key Features
|
||||
|
||||
### Complete Business Intelligence
|
||||
- **Revenue Analytics**: Total revenue, trends, projections
|
||||
- **Order Analysis**: Counts, types, status tracking
|
||||
- **Product Performance**: Top sellers, revenue contribution
|
||||
- **Shipping Intelligence**: Methods, locations, distribution
|
||||
- **Customer Insights**: Order value ranges, patterns
|
||||
- **Operational Metrics**: Refunds, cancellations, peak hours
|
||||
|
||||
### Performance Optimizations
|
||||
- **Connection Pooling**: Efficient database connection management
|
||||
- **Query Optimization**: Indexed queries with proper WHERE clauses
|
||||
- **Caching Strategy**: Frontend caching for detail views
|
||||
- **Batch Processing**: Efficient data aggregation
|
||||
|
||||
### Error Handling
|
||||
- **Database Connectivity**: Graceful handling of connection issues
|
||||
- **Query Failures**: Detailed error logging and user-friendly messages
|
||||
- **Data Validation**: Input sanitization and validation
|
||||
- **Fallback Mechanisms**: Default values for missing data
|
||||
|
||||
## Simplified Elements
|
||||
|
||||
Due to database complexity, some features are simplified:
|
||||
- **Brands**: Shows "Various Brands" (companies table structure complex)
|
||||
- **Categories**: Shows "General" (category relationships complex)
|
||||
|
||||
These can be enhanced in future iterations with proper category mapping.
|
||||
|
||||
## Testing
|
||||
|
||||
Test the server functionality:
|
||||
|
||||
```bash
|
||||
# Health check
|
||||
curl http://localhost:3007/api/acot/test
|
||||
|
||||
# Today's stats
|
||||
curl http://localhost:3007/api/acot/events/stats?timeRange=today
|
||||
|
||||
# Last 30 days with details
|
||||
curl http://localhost:3007/api/acot/events/stats/details?timeRange=last30days&daily=true
|
||||
|
||||
# Top products
|
||||
curl http://localhost:3007/api/acot/events/products?timeRange=thisWeek
|
||||
|
||||
# Revenue projection
|
||||
curl http://localhost:3007/api/acot/events/projection?timeRange=today
|
||||
```
|
||||
|
||||
## Development Notes
|
||||
|
||||
- **No Frontend Changes**: Complete drop-in replacement for Klaviyo
|
||||
- **API Compatibility**: Maintains exact response structure
|
||||
- **Business Logic**: Implements all complex e-commerce calculations
|
||||
- **Scalability**: Designed for production workloads
|
||||
- **Maintainability**: Well-documented code with clear separation of concerns
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
- Enhanced category and brand mapping
|
||||
- Real-time notifications for significant events
|
||||
- Advanced analytics and forecasting
|
||||
- Customer segmentation analysis
|
||||
- Inventory integration
|
||||
@@ -1,297 +0,0 @@
|
||||
const { Client } = require('ssh2');
|
||||
const mysql = require('mysql2/promise');
|
||||
const fs = require('fs');
|
||||
|
||||
// Connection pool configuration
|
||||
const connectionPool = {
|
||||
connections: [],
|
||||
maxConnections: 20,
|
||||
currentConnections: 0,
|
||||
pendingRequests: [],
|
||||
// Cache for query results (key: query string, value: {data, timestamp})
|
||||
queryCache: new Map(),
|
||||
// Cache duration for different query types in milliseconds
|
||||
cacheDuration: {
|
||||
'stats': 60 * 1000, // 1 minute for stats
|
||||
'products': 5 * 60 * 1000, // 5 minutes for products
|
||||
'orders': 60 * 1000, // 1 minute for orders
|
||||
'default': 60 * 1000 // 1 minute default
|
||||
},
|
||||
// Circuit breaker state
|
||||
circuitBreaker: {
|
||||
failures: 0,
|
||||
lastFailure: 0,
|
||||
isOpen: false,
|
||||
threshold: 5,
|
||||
timeout: 30000 // 30 seconds
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* Get a database connection from the pool
|
||||
* @returns {Promise<{connection: object, release: function}>} The database connection and release function
|
||||
*/
|
||||
async function getDbConnection() {
|
||||
return new Promise(async (resolve, reject) => {
|
||||
// Check circuit breaker
|
||||
const now = Date.now();
|
||||
if (connectionPool.circuitBreaker.isOpen) {
|
||||
if (now - connectionPool.circuitBreaker.lastFailure > connectionPool.circuitBreaker.timeout) {
|
||||
// Reset circuit breaker
|
||||
connectionPool.circuitBreaker.isOpen = false;
|
||||
connectionPool.circuitBreaker.failures = 0;
|
||||
console.log('Circuit breaker reset');
|
||||
} else {
|
||||
reject(new Error('Circuit breaker is open - too many connection failures'));
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
// Check if there's an available connection in the pool
|
||||
if (connectionPool.connections.length > 0) {
|
||||
const conn = connectionPool.connections.pop();
|
||||
console.log(`Using pooled connection. Pool size: ${connectionPool.connections.length}`);
|
||||
resolve({
|
||||
connection: conn.connection,
|
||||
release: () => releaseConnection(conn)
|
||||
});
|
||||
return;
|
||||
}
|
||||
|
||||
// If we haven't reached max connections, create a new one
|
||||
if (connectionPool.currentConnections < connectionPool.maxConnections) {
|
||||
try {
|
||||
console.log(`Creating new connection. Current: ${connectionPool.currentConnections}/${connectionPool.maxConnections}`);
|
||||
connectionPool.currentConnections++;
|
||||
|
||||
const tunnel = await setupSshTunnel();
|
||||
const { ssh, stream, dbConfig } = tunnel;
|
||||
|
||||
const connection = await mysql.createConnection({
|
||||
...dbConfig,
|
||||
stream
|
||||
});
|
||||
|
||||
const conn = { ssh, connection, inUse: true, created: Date.now() };
|
||||
|
||||
console.log('Database connection established');
|
||||
|
||||
// Reset circuit breaker on successful connection
|
||||
if (connectionPool.circuitBreaker.failures > 0) {
|
||||
connectionPool.circuitBreaker.failures = 0;
|
||||
connectionPool.circuitBreaker.isOpen = false;
|
||||
}
|
||||
|
||||
resolve({
|
||||
connection: conn.connection,
|
||||
release: () => releaseConnection(conn)
|
||||
});
|
||||
} catch (error) {
|
||||
connectionPool.currentConnections--;
|
||||
|
||||
// Track circuit breaker failures
|
||||
connectionPool.circuitBreaker.failures++;
|
||||
connectionPool.circuitBreaker.lastFailure = Date.now();
|
||||
|
||||
if (connectionPool.circuitBreaker.failures >= connectionPool.circuitBreaker.threshold) {
|
||||
connectionPool.circuitBreaker.isOpen = true;
|
||||
console.log(`Circuit breaker opened after ${connectionPool.circuitBreaker.failures} failures`);
|
||||
}
|
||||
|
||||
reject(error);
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
// Pool is full, queue the request with timeout
|
||||
console.log('Connection pool full, queuing request...');
|
||||
const timeoutId = setTimeout(() => {
|
||||
// Remove from queue if still there
|
||||
const index = connectionPool.pendingRequests.findIndex(req => req.resolve === resolve);
|
||||
if (index !== -1) {
|
||||
connectionPool.pendingRequests.splice(index, 1);
|
||||
reject(new Error('Connection pool queue timeout after 15 seconds'));
|
||||
}
|
||||
}, 15000);
|
||||
|
||||
connectionPool.pendingRequests.push({
|
||||
resolve,
|
||||
reject,
|
||||
timeoutId,
|
||||
timestamp: Date.now()
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Release a connection back to the pool
|
||||
*/
|
||||
function releaseConnection(conn) {
|
||||
conn.inUse = false;
|
||||
|
||||
// Check if there are pending requests
|
||||
if (connectionPool.pendingRequests.length > 0) {
|
||||
const { resolve, timeoutId } = connectionPool.pendingRequests.shift();
|
||||
|
||||
// Clear the timeout since we're serving the request
|
||||
if (timeoutId) {
|
||||
clearTimeout(timeoutId);
|
||||
}
|
||||
|
||||
conn.inUse = true;
|
||||
console.log(`Serving queued request. Queue length: ${connectionPool.pendingRequests.length}`);
|
||||
resolve({
|
||||
connection: conn.connection,
|
||||
release: () => releaseConnection(conn)
|
||||
});
|
||||
} else {
|
||||
// Return to pool
|
||||
connectionPool.connections.push(conn);
|
||||
console.log(`Connection returned to pool. Pool size: ${connectionPool.connections.length}, Active: ${connectionPool.currentConnections}`);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get cached query results or execute query if not cached
|
||||
* @param {string} cacheKey - Unique key to identify the query
|
||||
* @param {string} queryType - Type of query (stats, products, orders, etc.)
|
||||
* @param {Function} queryFn - Function to execute if cache miss
|
||||
* @returns {Promise<any>} The query result
|
||||
*/
|
||||
async function getCachedQuery(cacheKey, queryType, queryFn) {
|
||||
// Get cache duration based on query type
|
||||
const cacheDuration = connectionPool.cacheDuration[queryType] || connectionPool.cacheDuration.default;
|
||||
|
||||
// Check if we have a valid cached result
|
||||
const cachedResult = connectionPool.queryCache.get(cacheKey);
|
||||
const now = Date.now();
|
||||
|
||||
if (cachedResult && (now - cachedResult.timestamp < cacheDuration)) {
|
||||
console.log(`Cache hit for ${queryType} query: ${cacheKey}`);
|
||||
return cachedResult.data;
|
||||
}
|
||||
|
||||
// No valid cache found, execute the query
|
||||
console.log(`Cache miss for ${queryType} query: ${cacheKey}`);
|
||||
const result = await queryFn();
|
||||
|
||||
// Cache the result
|
||||
connectionPool.queryCache.set(cacheKey, {
|
||||
data: result,
|
||||
timestamp: now
|
||||
});
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* Setup SSH tunnel to production database
|
||||
* @private - Should only be used by getDbConnection
|
||||
* @returns {Promise<{ssh: object, stream: object, dbConfig: object}>}
|
||||
*/
|
||||
async function setupSshTunnel() {
|
||||
const sshConfig = {
|
||||
host: process.env.PROD_SSH_HOST,
|
||||
port: process.env.PROD_SSH_PORT || 22,
|
||||
username: process.env.PROD_SSH_USER,
|
||||
privateKey: process.env.PROD_SSH_KEY_PATH
|
||||
? fs.readFileSync(process.env.PROD_SSH_KEY_PATH)
|
||||
: undefined,
|
||||
compress: true
|
||||
};
|
||||
|
||||
const dbConfig = {
|
||||
host: process.env.PROD_DB_HOST || 'localhost',
|
||||
user: process.env.PROD_DB_USER,
|
||||
password: process.env.PROD_DB_PASSWORD,
|
||||
database: process.env.PROD_DB_NAME,
|
||||
port: process.env.PROD_DB_PORT || 3306,
|
||||
timezone: 'Z'
|
||||
};
|
||||
|
||||
return new Promise((resolve, reject) => {
|
||||
const ssh = new Client();
|
||||
|
||||
ssh.on('error', (err) => {
|
||||
console.error('SSH connection error:', err);
|
||||
reject(err);
|
||||
});
|
||||
|
||||
ssh.on('ready', () => {
|
||||
ssh.forwardOut(
|
||||
'127.0.0.1',
|
||||
0,
|
||||
dbConfig.host,
|
||||
dbConfig.port,
|
||||
(err, stream) => {
|
||||
if (err) reject(err);
|
||||
resolve({ ssh, stream, dbConfig });
|
||||
}
|
||||
);
|
||||
}).connect(sshConfig);
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Clear cached query results
|
||||
* @param {string} [cacheKey] - Specific cache key to clear (clears all if not provided)
|
||||
*/
|
||||
function clearQueryCache(cacheKey) {
|
||||
if (cacheKey) {
|
||||
connectionPool.queryCache.delete(cacheKey);
|
||||
console.log(`Cleared cache for key: ${cacheKey}`);
|
||||
} else {
|
||||
connectionPool.queryCache.clear();
|
||||
console.log('Cleared all query cache');
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Force close all active connections
|
||||
* Useful for server shutdown or manual connection reset
|
||||
*/
|
||||
async function closeAllConnections() {
|
||||
// Close all pooled connections
|
||||
for (const conn of connectionPool.connections) {
|
||||
try {
|
||||
await conn.connection.end();
|
||||
conn.ssh.end();
|
||||
console.log('Closed pooled connection');
|
||||
} catch (error) {
|
||||
console.error('Error closing pooled connection:', error);
|
||||
}
|
||||
}
|
||||
|
||||
// Reset pool state
|
||||
connectionPool.connections = [];
|
||||
connectionPool.currentConnections = 0;
|
||||
connectionPool.pendingRequests = [];
|
||||
connectionPool.queryCache.clear();
|
||||
|
||||
console.log('All connections closed and pool reset');
|
||||
}
|
||||
|
||||
/**
|
||||
* Get connection pool status for debugging
|
||||
*/
|
||||
function getPoolStatus() {
|
||||
return {
|
||||
poolSize: connectionPool.connections.length,
|
||||
activeConnections: connectionPool.currentConnections,
|
||||
maxConnections: connectionPool.maxConnections,
|
||||
pendingRequests: connectionPool.pendingRequests.length,
|
||||
cacheSize: connectionPool.queryCache.size,
|
||||
queuedRequests: connectionPool.pendingRequests.map(req => ({
|
||||
waitTime: Date.now() - req.timestamp,
|
||||
hasTimeout: !!req.timeoutId
|
||||
}))
|
||||
};
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
getDbConnection,
|
||||
getCachedQuery,
|
||||
clearQueryCache,
|
||||
closeAllConnections,
|
||||
getPoolStatus
|
||||
};
|
||||
1553
inventory-server/dashboard/acot-server/package-lock.json
generated
1553
inventory-server/dashboard/acot-server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,23 +0,0 @@
|
||||
{
|
||||
"name": "acot-server",
|
||||
"version": "1.0.0",
|
||||
"description": "A Cherry On Top production database server",
|
||||
"main": "server.js",
|
||||
"scripts": {
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"express": "^4.18.2",
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.3.1",
|
||||
"morgan": "^1.10.0",
|
||||
"ssh2": "^1.14.0",
|
||||
"mysql2": "^3.6.5",
|
||||
"compression": "^1.7.4",
|
||||
"luxon": "^3.5.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^3.0.1"
|
||||
}
|
||||
}
|
||||
@@ -1,575 +0,0 @@
|
||||
const express = require('express');
|
||||
const { DateTime } = require('luxon');
|
||||
const { getDbConnection } = require('../db/connection');
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
const RANGE_BOUNDS = [
|
||||
10, 20, 30, 40, 50, 60, 70, 80, 90,
|
||||
100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200,
|
||||
300, 400, 500, 1000, 1500, 2000
|
||||
];
|
||||
|
||||
const FINAL_BUCKET_KEY = 'PLUS';
|
||||
|
||||
function buildRangeDefinitions() {
|
||||
const ranges = [];
|
||||
let previous = 0;
|
||||
for (const bound of RANGE_BOUNDS) {
|
||||
const label = `$${previous.toLocaleString()} - $${bound.toLocaleString()}`;
|
||||
const key = bound.toString().padStart(5, '0');
|
||||
ranges.push({
|
||||
min: previous,
|
||||
max: bound,
|
||||
label,
|
||||
key,
|
||||
sort: bound
|
||||
});
|
||||
previous = bound;
|
||||
}
|
||||
// Remove the 2000+ category - all orders >2000 will go into the 2000 bucket
|
||||
return ranges;
|
||||
}
|
||||
|
||||
const RANGE_DEFINITIONS = buildRangeDefinitions();
|
||||
|
||||
const BUCKET_CASE = (() => {
|
||||
const parts = [];
|
||||
for (let i = 0; i < RANGE_BOUNDS.length; i++) {
|
||||
const bound = RANGE_BOUNDS[i];
|
||||
const key = bound.toString().padStart(5, '0');
|
||||
if (i === RANGE_BOUNDS.length - 1) {
|
||||
// For the last bucket (2000), include all orders >= 1500 (previous bound)
|
||||
parts.push(`ELSE '${key}'`);
|
||||
} else {
|
||||
parts.push(`WHEN o.summary_subtotal <= ${bound} THEN '${key}'`);
|
||||
}
|
||||
}
|
||||
return `CASE\n ${parts.join('\n ')}\n END`;
|
||||
})();
|
||||
|
||||
const DEFAULT_POINT_DOLLAR_VALUE = 0.005; // 1000 points = $5, so 200 points = $1
|
||||
|
||||
const DEFAULTS = {
|
||||
merchantFeePercent: 2.9,
|
||||
fixedCostPerOrder: 1.5,
|
||||
pointsPerDollar: 0,
|
||||
pointsRedemptionRate: 0, // Will be calculated from actual data
|
||||
pointDollarValue: DEFAULT_POINT_DOLLAR_VALUE,
|
||||
};
|
||||
|
||||
function parseDate(value, fallback) {
|
||||
if (!value) {
|
||||
return fallback;
|
||||
}
|
||||
const parsed = DateTime.fromISO(value);
|
||||
if (!parsed.isValid) {
|
||||
return fallback;
|
||||
}
|
||||
return parsed;
|
||||
}
|
||||
|
||||
function formatDateForSql(dt) {
|
||||
return dt.toFormat('yyyy-LL-dd HH:mm:ss');
|
||||
}
|
||||
|
||||
function getMidpoint(range) {
|
||||
if (range.max == null) {
|
||||
return range.min + 200; // Rough estimate for 2000+
|
||||
}
|
||||
return (range.min + range.max) / 2;
|
||||
}
|
||||
|
||||
router.get('/promos', async (req, res) => {
|
||||
let connection;
|
||||
try {
|
||||
const { connection: conn, release } = await getDbConnection();
|
||||
connection = conn;
|
||||
const releaseConnection = release;
|
||||
|
||||
const { startDate, endDate } = req.query || {};
|
||||
const now = DateTime.now().endOf('day');
|
||||
const defaultStart = now.minus({ years: 3 }).startOf('day');
|
||||
|
||||
const parsedStart = startDate ? parseDate(startDate, defaultStart).startOf('day') : defaultStart;
|
||||
const parsedEnd = endDate ? parseDate(endDate, now).endOf('day') : now;
|
||||
|
||||
const rangeStart = parsedStart <= parsedEnd ? parsedStart : parsedEnd;
|
||||
const rangeEnd = parsedEnd >= parsedStart ? parsedEnd : parsedStart;
|
||||
|
||||
const rangeStartSql = formatDateForSql(rangeStart);
|
||||
const rangeEndSql = formatDateForSql(rangeEnd);
|
||||
|
||||
const sql = `
|
||||
SELECT
|
||||
p.promo_id AS id,
|
||||
p.promo_code AS code,
|
||||
p.promo_description_online AS description_online,
|
||||
p.promo_description_private AS description_private,
|
||||
p.date_start,
|
||||
p.date_end,
|
||||
COALESCE(u.usage_count, 0) AS usage_count
|
||||
FROM promos p
|
||||
LEFT JOIN (
|
||||
SELECT
|
||||
discount_code,
|
||||
COUNT(DISTINCT order_id) AS usage_count
|
||||
FROM order_discounts
|
||||
WHERE discount_type = 10 AND discount_active = 1
|
||||
GROUP BY discount_code
|
||||
) u ON u.discount_code = p.promo_id
|
||||
WHERE p.date_start IS NOT NULL
|
||||
AND p.date_end IS NOT NULL
|
||||
AND NOT (p.date_end < ? OR p.date_start > ?)
|
||||
AND p.store = 1
|
||||
AND p.date_start >= '2010-01-01'
|
||||
ORDER BY p.promo_id DESC
|
||||
LIMIT 200
|
||||
`;
|
||||
|
||||
const [rows] = await connection.execute(sql, [rangeStartSql, rangeEndSql]);
|
||||
releaseConnection();
|
||||
|
||||
const promos = rows.map(row => ({
|
||||
id: Number(row.id),
|
||||
code: row.code,
|
||||
description: row.description_online || row.description_private || '',
|
||||
privateDescription: row.description_private || '',
|
||||
promo_description_online: row.description_online || '',
|
||||
promo_description_private: row.description_private || '',
|
||||
dateStart: row.date_start,
|
||||
dateEnd: row.date_end,
|
||||
usageCount: Number(row.usage_count || 0)
|
||||
}));
|
||||
|
||||
res.json({ promos });
|
||||
} catch (error) {
|
||||
if (connection) {
|
||||
try {
|
||||
connection.destroy();
|
||||
} catch (destroyError) {
|
||||
console.error('Failed to destroy connection after error:', destroyError);
|
||||
}
|
||||
}
|
||||
console.error('Error fetching promos:', error);
|
||||
res.status(500).json({ error: 'Failed to fetch promos' });
|
||||
}
|
||||
});
|
||||
|
||||
router.post('/simulate', async (req, res) => {
|
||||
const {
|
||||
dateRange = {},
|
||||
filters = {},
|
||||
productPromo = {},
|
||||
shippingPromo = {},
|
||||
shippingTiers = [],
|
||||
surcharges = [],
|
||||
merchantFeePercent,
|
||||
fixedCostPerOrder,
|
||||
cogsCalculationMode = 'actual',
|
||||
pointsConfig = {}
|
||||
} = req.body || {};
|
||||
|
||||
const endDefault = DateTime.now();
|
||||
const startDefault = endDefault.minus({ months: 6 });
|
||||
const startDt = parseDate(dateRange.start, startDefault).startOf('day');
|
||||
const endDt = parseDate(dateRange.end, endDefault).endOf('day');
|
||||
|
||||
const shipCountry = filters.shipCountry || 'US';
|
||||
const rawPromoFilters = [
|
||||
...(Array.isArray(filters.promoIds) ? filters.promoIds : []),
|
||||
...(Array.isArray(filters.promoCodes) ? filters.promoCodes : []),
|
||||
];
|
||||
const promoCodes = Array.from(
|
||||
new Set(
|
||||
rawPromoFilters
|
||||
.map((value) => {
|
||||
if (typeof value === 'string') {
|
||||
return value.trim();
|
||||
}
|
||||
if (typeof value === 'number') {
|
||||
return String(value);
|
||||
}
|
||||
return '';
|
||||
})
|
||||
.filter((value) => value.length > 0)
|
||||
)
|
||||
);
|
||||
|
||||
const config = {
|
||||
merchantFeePercent: typeof merchantFeePercent === 'number' ? merchantFeePercent : DEFAULTS.merchantFeePercent,
|
||||
fixedCostPerOrder: typeof fixedCostPerOrder === 'number' ? fixedCostPerOrder : DEFAULTS.fixedCostPerOrder,
|
||||
productPromo: {
|
||||
type: productPromo.type || 'none',
|
||||
value: Number(productPromo.value || 0),
|
||||
minSubtotal: Number(productPromo.minSubtotal || 0)
|
||||
},
|
||||
shippingPromo: {
|
||||
type: shippingPromo.type || 'none',
|
||||
value: Number(shippingPromo.value || 0),
|
||||
minSubtotal: Number(shippingPromo.minSubtotal || 0),
|
||||
maxDiscount: Number(shippingPromo.maxDiscount || 0)
|
||||
},
|
||||
shippingTiers: Array.isArray(shippingTiers)
|
||||
? shippingTiers
|
||||
.map(tier => ({
|
||||
threshold: Number(tier.threshold || 0),
|
||||
mode: tier.mode === 'percentage' || tier.mode === 'flat' ? tier.mode : 'percentage',
|
||||
value: Number(tier.value || 0)
|
||||
}))
|
||||
.filter(tier => tier.threshold >= 0 && tier.value >= 0)
|
||||
.sort((a, b) => a.threshold - b.threshold)
|
||||
: [],
|
||||
surcharges: Array.isArray(surcharges)
|
||||
? surcharges
|
||||
.map(s => ({
|
||||
threshold: Number(s.threshold || 0),
|
||||
maxThreshold: typeof s.maxThreshold === 'number' && s.maxThreshold > 0 ? s.maxThreshold : null,
|
||||
target: s.target === 'shipping' || s.target === 'order' ? s.target : 'shipping',
|
||||
amount: Number(s.amount || 0)
|
||||
}))
|
||||
.filter(s => s.threshold >= 0 && s.amount >= 0)
|
||||
.sort((a, b) => a.threshold - b.threshold)
|
||||
: [],
|
||||
points: {
|
||||
pointsPerDollar: typeof pointsConfig.pointsPerDollar === 'number' ? pointsConfig.pointsPerDollar : null,
|
||||
redemptionRate: typeof pointsConfig.redemptionRate === 'number' ? pointsConfig.redemptionRate : null,
|
||||
pointDollarValue: typeof pointsConfig.pointDollarValue === 'number'
|
||||
? pointsConfig.pointDollarValue
|
||||
: DEFAULT_POINT_DOLLAR_VALUE
|
||||
}
|
||||
};
|
||||
|
||||
let connection;
|
||||
let release;
|
||||
|
||||
try {
|
||||
const dbConn = await getDbConnection();
|
||||
connection = dbConn.connection;
|
||||
release = dbConn.release;
|
||||
|
||||
const filteredOrdersParams = [
|
||||
shipCountry,
|
||||
formatDateForSql(startDt),
|
||||
formatDateForSql(endDt)
|
||||
];
|
||||
const promoJoin = promoCodes.length > 0
|
||||
? 'JOIN order_discounts od ON od.order_id = o.order_id AND od.discount_active = 1 AND od.discount_type = 10'
|
||||
: '';
|
||||
|
||||
let promoFilterClause = '';
|
||||
if (promoCodes.length > 0) {
|
||||
const placeholders = promoCodes.map(() => '?').join(',');
|
||||
promoFilterClause = `AND od.discount_code IN (${placeholders})`;
|
||||
filteredOrdersParams.push(...promoCodes);
|
||||
}
|
||||
|
||||
const filteredOrdersQuery = `
|
||||
SELECT
|
||||
o.order_id,
|
||||
o.order_cid,
|
||||
o.summary_subtotal,
|
||||
o.summary_discount_subtotal,
|
||||
o.summary_shipping,
|
||||
o.ship_method_rate,
|
||||
o.ship_method_cost,
|
||||
o.summary_points,
|
||||
${BUCKET_CASE} AS bucket_key
|
||||
FROM _order o
|
||||
${promoJoin}
|
||||
WHERE o.summary_shipping > 0
|
||||
AND o.summary_total > 0
|
||||
AND o.order_status NOT IN (15)
|
||||
AND o.ship_method_selected <> 'holdit'
|
||||
AND o.ship_country = ?
|
||||
AND o.date_placed BETWEEN ? AND ?
|
||||
${promoFilterClause}
|
||||
`;
|
||||
|
||||
const bucketParams = [
|
||||
...filteredOrdersParams,
|
||||
formatDateForSql(startDt),
|
||||
formatDateForSql(endDt)
|
||||
];
|
||||
|
||||
const bucketQuery = `
|
||||
SELECT
|
||||
f.bucket_key,
|
||||
COUNT(*) AS order_count,
|
||||
SUM(f.summary_subtotal) AS subtotal_sum,
|
||||
SUM(f.summary_discount_subtotal) AS product_discount_sum,
|
||||
SUM(f.summary_subtotal + f.summary_discount_subtotal) AS regular_subtotal_sum,
|
||||
SUM(f.ship_method_rate) AS ship_rate_sum,
|
||||
SUM(f.ship_method_cost) AS ship_cost_sum,
|
||||
SUM(f.summary_points) AS points_awarded_sum,
|
||||
SUM(COALESCE(p.points_redeemed, 0)) AS points_redeemed_sum,
|
||||
SUM(COALESCE(c.total_cogs, 0)) AS cogs_sum,
|
||||
AVG(f.summary_subtotal) AS avg_subtotal,
|
||||
AVG(f.summary_discount_subtotal) AS avg_product_discount,
|
||||
AVG(f.ship_method_rate) AS avg_ship_rate,
|
||||
AVG(f.ship_method_cost) AS avg_ship_cost,
|
||||
AVG(COALESCE(c.total_cogs, 0)) AS avg_cogs
|
||||
FROM (
|
||||
${filteredOrdersQuery}
|
||||
) AS f
|
||||
LEFT JOIN (
|
||||
SELECT order_id, SUM(cogs_amount) AS total_cogs
|
||||
FROM report_sales_data
|
||||
WHERE action IN (1,2,3)
|
||||
AND date_change BETWEEN ? AND ?
|
||||
GROUP BY order_id
|
||||
) AS c ON c.order_id = f.order_id
|
||||
LEFT JOIN (
|
||||
SELECT order_id, SUM(discount_amount) AS points_redeemed
|
||||
FROM order_discounts
|
||||
WHERE discount_type = 20 AND discount_active = 1
|
||||
GROUP BY order_id
|
||||
) AS p ON p.order_id = f.order_id
|
||||
GROUP BY f.bucket_key
|
||||
`;
|
||||
|
||||
const [rows] = await connection.execute(bucketQuery, bucketParams);
|
||||
|
||||
const totals = {
|
||||
orders: 0,
|
||||
subtotal: 0,
|
||||
productDiscount: 0,
|
||||
regularSubtotal: 0,
|
||||
shipRate: 0,
|
||||
shipCost: 0,
|
||||
cogs: 0,
|
||||
pointsAwarded: 0,
|
||||
pointsRedeemed: 0
|
||||
};
|
||||
|
||||
const rowMap = new Map();
|
||||
for (const row of rows) {
|
||||
const key = row.bucket_key || FINAL_BUCKET_KEY;
|
||||
const parsed = {
|
||||
orderCount: Number(row.order_count || 0),
|
||||
subtotalSum: Number(row.subtotal_sum || 0),
|
||||
productDiscountSum: Number(row.product_discount_sum || 0),
|
||||
regularSubtotalSum: Number(row.regular_subtotal_sum || 0),
|
||||
shipRateSum: Number(row.ship_rate_sum || 0),
|
||||
shipCostSum: Number(row.ship_cost_sum || 0),
|
||||
pointsAwardedSum: Number(row.points_awarded_sum || 0),
|
||||
pointsRedeemedSum: Number(row.points_redeemed_sum || 0),
|
||||
cogsSum: Number(row.cogs_sum || 0),
|
||||
avgSubtotal: Number(row.avg_subtotal || 0),
|
||||
avgProductDiscount: Number(row.avg_product_discount || 0),
|
||||
avgShipRate: Number(row.avg_ship_rate || 0),
|
||||
avgShipCost: Number(row.avg_ship_cost || 0),
|
||||
avgCogs: Number(row.avg_cogs || 0)
|
||||
};
|
||||
rowMap.set(key, parsed);
|
||||
|
||||
totals.orders += parsed.orderCount;
|
||||
totals.subtotal += parsed.subtotalSum;
|
||||
totals.productDiscount += parsed.productDiscountSum;
|
||||
totals.regularSubtotal += parsed.regularSubtotalSum;
|
||||
totals.shipRate += parsed.shipRateSum;
|
||||
totals.shipCost += parsed.shipCostSum;
|
||||
totals.cogs += parsed.cogsSum;
|
||||
totals.pointsAwarded += parsed.pointsAwardedSum;
|
||||
totals.pointsRedeemed += parsed.pointsRedeemedSum;
|
||||
}
|
||||
|
||||
const productDiscountRate = totals.regularSubtotal > 0
|
||||
? totals.productDiscount / totals.regularSubtotal
|
||||
: 0;
|
||||
|
||||
const pointsPerDollar = config.points.pointsPerDollar != null
|
||||
? config.points.pointsPerDollar
|
||||
: totals.subtotal > 0
|
||||
? totals.pointsAwarded / totals.subtotal
|
||||
: 0;
|
||||
|
||||
const pointDollarValue = config.points.pointDollarValue || DEFAULT_POINT_DOLLAR_VALUE;
|
||||
|
||||
// Calculate redemption rate using dollars redeemed from the matched order set
|
||||
let calculatedRedemptionRate = 0;
|
||||
if (config.points.redemptionRate != null) {
|
||||
calculatedRedemptionRate = config.points.redemptionRate;
|
||||
} else if (totals.pointsAwarded > 0 && pointDollarValue > 0) {
|
||||
const totalRedeemedPoints = totals.pointsRedeemed / pointDollarValue;
|
||||
if (totalRedeemedPoints > 0) {
|
||||
calculatedRedemptionRate = Math.min(1, totalRedeemedPoints / totals.pointsAwarded);
|
||||
}
|
||||
}
|
||||
|
||||
const redemptionRate = calculatedRedemptionRate;
|
||||
|
||||
// Calculate overall average COGS percentage for 'average' mode
|
||||
let overallCogsPercentage = 0;
|
||||
if (cogsCalculationMode === 'average' && totals.subtotal > 0) {
|
||||
overallCogsPercentage = totals.cogs / totals.subtotal;
|
||||
}
|
||||
|
||||
const bucketResults = [];
|
||||
let weightedProfitAmount = 0;
|
||||
let weightedProfitPercent = 0;
|
||||
|
||||
for (const range of RANGE_DEFINITIONS) {
|
||||
const data = rowMap.get(range.key) || {
|
||||
orderCount: 0,
|
||||
avgSubtotal: 0,
|
||||
avgShipRate: 0,
|
||||
avgShipCost: 0,
|
||||
avgCogs: 0
|
||||
};
|
||||
|
||||
const orderValue = data.avgSubtotal > 0 ? data.avgSubtotal : getMidpoint(range);
|
||||
const shippingChargeBase = data.avgShipCost > 0 ? data.avgShipCost : 0;
|
||||
const actualShippingCost = data.avgShipCost > 0 ? data.avgShipCost : 0;
|
||||
|
||||
// Calculate COGS based on the selected mode
|
||||
let productCogs;
|
||||
if (cogsCalculationMode === 'average') {
|
||||
// Use overall average COGS percentage applied to this bucket's order value
|
||||
productCogs = orderValue * overallCogsPercentage;
|
||||
} else {
|
||||
// Use actual COGS data from this bucket (existing behavior)
|
||||
productCogs = data.avgCogs > 0 ? data.avgCogs : 0;
|
||||
}
|
||||
const productDiscountAmount = orderValue * productDiscountRate;
|
||||
const effectiveRegularPrice = productDiscountRate < 0.99
|
||||
? orderValue / (1 - productDiscountRate)
|
||||
: orderValue;
|
||||
|
||||
let promoProductDiscount = 0;
|
||||
if (config.productPromo.type === 'percentage_subtotal' && orderValue >= config.productPromo.minSubtotal) {
|
||||
promoProductDiscount = Math.min(orderValue, (config.productPromo.value / 100) * orderValue);
|
||||
} else if (config.productPromo.type === 'percentage_regular' && orderValue >= config.productPromo.minSubtotal) {
|
||||
const targetRate = config.productPromo.value / 100;
|
||||
const additionalRate = Math.max(0, targetRate - productDiscountRate);
|
||||
promoProductDiscount = Math.min(orderValue, additionalRate * effectiveRegularPrice);
|
||||
} else if (config.productPromo.type === 'fixed_amount' && orderValue >= config.productPromo.minSubtotal) {
|
||||
promoProductDiscount = Math.min(orderValue, config.productPromo.value);
|
||||
}
|
||||
|
||||
let shippingAfterAuto = shippingChargeBase;
|
||||
for (const tier of config.shippingTiers) {
|
||||
if (orderValue >= tier.threshold) {
|
||||
if (tier.mode === 'percentage') {
|
||||
shippingAfterAuto = shippingChargeBase * Math.max(0, 1 - tier.value / 100);
|
||||
} else if (tier.mode === 'flat') {
|
||||
shippingAfterAuto = tier.value;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let shipPromoDiscount = 0;
|
||||
if (config.shippingPromo.type !== 'none' && orderValue >= config.shippingPromo.minSubtotal) {
|
||||
if (config.shippingPromo.type === 'percentage') {
|
||||
shipPromoDiscount = shippingAfterAuto * (config.shippingPromo.value / 100);
|
||||
} else if (config.shippingPromo.type === 'fixed') {
|
||||
shipPromoDiscount = config.shippingPromo.value;
|
||||
}
|
||||
if (config.shippingPromo.maxDiscount > 0) {
|
||||
shipPromoDiscount = Math.min(shipPromoDiscount, config.shippingPromo.maxDiscount);
|
||||
}
|
||||
shipPromoDiscount = Math.min(shipPromoDiscount, shippingAfterAuto);
|
||||
}
|
||||
|
||||
// Calculate surcharges
|
||||
let shippingSurcharge = 0;
|
||||
let orderSurcharge = 0;
|
||||
for (const surcharge of config.surcharges) {
|
||||
const meetsMin = orderValue >= surcharge.threshold;
|
||||
const meetsMax = surcharge.maxThreshold == null || orderValue < surcharge.maxThreshold;
|
||||
if (meetsMin && meetsMax) {
|
||||
if (surcharge.target === 'shipping') {
|
||||
shippingSurcharge += surcharge.amount;
|
||||
} else if (surcharge.target === 'order') {
|
||||
orderSurcharge += surcharge.amount;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const customerShipCost = Math.max(0, shippingAfterAuto - shipPromoDiscount + shippingSurcharge);
|
||||
const customerItemCost = Math.max(0, orderValue - promoProductDiscount + orderSurcharge);
|
||||
const totalRevenue = customerItemCost + customerShipCost;
|
||||
|
||||
const merchantFees = totalRevenue * (config.merchantFeePercent / 100);
|
||||
const pointsCost = customerItemCost * pointsPerDollar * redemptionRate * pointDollarValue;
|
||||
const fixedCosts = config.fixedCostPerOrder;
|
||||
const totalCosts = productCogs + actualShippingCost + merchantFees + pointsCost + fixedCosts;
|
||||
const profit = totalRevenue - totalCosts;
|
||||
const profitPercent = totalRevenue > 0 ? (profit / totalRevenue) : 0;
|
||||
const weight = totals.orders > 0 ? (data.orderCount || 0) / totals.orders : 0;
|
||||
|
||||
weightedProfitAmount += profit * weight;
|
||||
weightedProfitPercent += profitPercent * weight;
|
||||
|
||||
bucketResults.push({
|
||||
key: range.key,
|
||||
label: range.label,
|
||||
min: range.min,
|
||||
max: range.max,
|
||||
orderCount: data.orderCount || 0,
|
||||
weight,
|
||||
orderValue,
|
||||
productDiscountAmount,
|
||||
promoProductDiscount,
|
||||
customerItemCost,
|
||||
shippingChargeBase,
|
||||
shippingAfterAuto,
|
||||
shipPromoDiscount,
|
||||
shippingSurcharge,
|
||||
orderSurcharge,
|
||||
customerShipCost,
|
||||
actualShippingCost,
|
||||
totalRevenue,
|
||||
productCogs,
|
||||
merchantFees,
|
||||
pointsCost,
|
||||
fixedCosts,
|
||||
totalCosts,
|
||||
profit,
|
||||
profitPercent
|
||||
});
|
||||
}
|
||||
|
||||
if (release) {
|
||||
release();
|
||||
}
|
||||
|
||||
res.json({
|
||||
dateRange: {
|
||||
start: startDt.toISO(),
|
||||
end: endDt.toISO()
|
||||
},
|
||||
totals: {
|
||||
orders: totals.orders,
|
||||
subtotal: totals.subtotal,
|
||||
productDiscountRate,
|
||||
pointsPerDollar,
|
||||
redemptionRate,
|
||||
pointDollarValue,
|
||||
weightedProfitAmount,
|
||||
weightedProfitPercent,
|
||||
overallCogsPercentage: cogsCalculationMode === 'average' ? overallCogsPercentage : undefined
|
||||
},
|
||||
buckets: bucketResults
|
||||
});
|
||||
} catch (error) {
|
||||
if (release) {
|
||||
try {
|
||||
release();
|
||||
} catch (releaseError) {
|
||||
console.error('Failed to release connection after error:', releaseError);
|
||||
}
|
||||
} else if (connection) {
|
||||
try {
|
||||
connection.destroy();
|
||||
} catch (destroyError) {
|
||||
console.error('Failed to destroy connection after error:', destroyError);
|
||||
}
|
||||
}
|
||||
|
||||
console.error('Error running discount simulation:', error);
|
||||
res.status(500).json({ error: 'Failed to run discount simulation' });
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,683 +0,0 @@
|
||||
const express = require('express');
|
||||
const { DateTime } = require('luxon');
|
||||
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getPoolStatus } = require('../db/connection');
|
||||
const {
|
||||
getTimeRangeConditions,
|
||||
_internal: timeHelpers
|
||||
} = require('../utils/timeUtils');
|
||||
|
||||
const TIMEZONE = 'America/New_York';
|
||||
|
||||
// Punch types from the database
|
||||
const PUNCH_TYPES = {
|
||||
OUT: 0,
|
||||
IN: 1,
|
||||
BREAK_START: 2,
|
||||
BREAK_END: 3,
|
||||
};
|
||||
|
||||
// Standard hours for FTE calculation (40 hours per week)
|
||||
const STANDARD_WEEKLY_HOURS = 40;
|
||||
|
||||
/**
|
||||
* Calculate working hours from timeclock entries
|
||||
* Groups punches by employee and date, pairs in/out punches
|
||||
* Returns both total hours (with breaks, for FTE) and productive hours (without breaks, for productivity)
|
||||
*/
|
||||
function calculateHoursFromPunches(punches) {
|
||||
// Group by employee
|
||||
const byEmployee = new Map();
|
||||
|
||||
punches.forEach(punch => {
|
||||
if (!byEmployee.has(punch.EmployeeID)) {
|
||||
byEmployee.set(punch.EmployeeID, []);
|
||||
}
|
||||
byEmployee.get(punch.EmployeeID).push(punch);
|
||||
});
|
||||
|
||||
const employeeHours = [];
|
||||
let totalHours = 0;
|
||||
let totalBreakHours = 0;
|
||||
|
||||
byEmployee.forEach((employeePunches, employeeId) => {
|
||||
// Sort by timestamp
|
||||
employeePunches.sort((a, b) => new Date(a.TimeStamp) - new Date(b.TimeStamp));
|
||||
|
||||
let hours = 0;
|
||||
let breakHours = 0;
|
||||
let currentIn = null;
|
||||
let breakStart = null;
|
||||
|
||||
employeePunches.forEach(punch => {
|
||||
const punchTime = new Date(punch.TimeStamp);
|
||||
|
||||
switch (punch.PunchType) {
|
||||
case PUNCH_TYPES.IN:
|
||||
currentIn = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.OUT:
|
||||
if (currentIn) {
|
||||
hours += (punchTime - currentIn) / (1000 * 60 * 60); // Convert ms to hours
|
||||
currentIn = null;
|
||||
}
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_START:
|
||||
breakStart = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_END:
|
||||
if (breakStart) {
|
||||
breakHours += (punchTime - breakStart) / (1000 * 60 * 60);
|
||||
breakStart = null;
|
||||
}
|
||||
break;
|
||||
}
|
||||
});
|
||||
|
||||
totalHours += hours;
|
||||
totalBreakHours += breakHours;
|
||||
|
||||
employeeHours.push({
|
||||
employeeId,
|
||||
hours,
|
||||
breakHours,
|
||||
productiveHours: hours - breakHours,
|
||||
});
|
||||
});
|
||||
|
||||
return {
|
||||
employeeHours,
|
||||
totalHours,
|
||||
totalBreakHours,
|
||||
totalProductiveHours: totalHours - totalBreakHours
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate FTE (Full Time Equivalents) for a period
|
||||
* @param {number} totalHours - Total hours worked
|
||||
* @param {Date} startDate - Period start
|
||||
* @param {Date} endDate - Period end
|
||||
*/
|
||||
function calculateFTE(totalHours, startDate, endDate) {
|
||||
const start = new Date(startDate);
|
||||
const end = new Date(endDate);
|
||||
const days = Math.max(1, (end - start) / (1000 * 60 * 60 * 24));
|
||||
const weeks = days / 7;
|
||||
const expectedHours = weeks * STANDARD_WEEKLY_HOURS;
|
||||
|
||||
return expectedHours > 0 ? totalHours / expectedHours : 0;
|
||||
}
|
||||
|
||||
// Main employee metrics endpoint
|
||||
router.get('/', async (req, res) => {
|
||||
const startTime = Date.now();
|
||||
console.log(`[EMPLOYEE-METRICS] Starting request for timeRange: ${req.query.timeRange}`);
|
||||
|
||||
const timeoutPromise = new Promise((_, reject) => {
|
||||
setTimeout(() => reject(new Error('Request timeout after 30 seconds')), 30000);
|
||||
});
|
||||
|
||||
try {
|
||||
const mainOperation = async () => {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
console.log(`[EMPLOYEE-METRICS] Getting DB connection...`);
|
||||
const { connection, release } = await getDbConnection();
|
||||
console.log(`[EMPLOYEE-METRICS] DB connection obtained in ${Date.now() - startTime}ms`);
|
||||
|
||||
const { whereClause, params, dateRange } = getTimeRangeConditions(timeRange, startDate, endDate);
|
||||
|
||||
// Adapt where clause for timeclock table (uses TimeStamp instead of date_placed)
|
||||
const timeclockWhere = whereClause.replace(/date_placed/g, 'tc.TimeStamp');
|
||||
|
||||
// Query for timeclock data with employee names
|
||||
const timeclockQuery = `
|
||||
SELECT
|
||||
tc.EmployeeID,
|
||||
tc.TimeStamp,
|
||||
tc.PunchType,
|
||||
e.firstname,
|
||||
e.lastname
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE ${timeclockWhere}
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY tc.EmployeeID, tc.TimeStamp
|
||||
`;
|
||||
|
||||
const [timeclockRows] = await connection.execute(timeclockQuery, params);
|
||||
|
||||
// Calculate hours (includes both total hours for FTE and productive hours for productivity)
|
||||
const { employeeHours, totalHours, totalBreakHours, totalProductiveHours } = calculateHoursFromPunches(timeclockRows);
|
||||
|
||||
// Get employee names for the results
|
||||
const employeeNames = new Map();
|
||||
timeclockRows.forEach(row => {
|
||||
if (!employeeNames.has(row.EmployeeID)) {
|
||||
employeeNames.set(row.EmployeeID, {
|
||||
firstname: row.firstname || '',
|
||||
lastname: row.lastname || '',
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Enrich employee hours with names
|
||||
const enrichedEmployeeHours = employeeHours.map(eh => ({
|
||||
...eh,
|
||||
name: employeeNames.has(eh.employeeId)
|
||||
? `${employeeNames.get(eh.employeeId).firstname} ${employeeNames.get(eh.employeeId).lastname}`.trim()
|
||||
: `Employee ${eh.employeeId}`,
|
||||
})).sort((a, b) => b.hours - a.hours);
|
||||
|
||||
// Query for picking tickets - using subquery to avoid duplication from bucket join
|
||||
// Ship-together orders: only count main orders (is_sub = 0 or NULL), not sub-orders
|
||||
const pickingWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
// First get picking ticket stats without the bucket join (to avoid duplication)
|
||||
const pickingStatsQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT pt.pickingid) as ticketCount,
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds,
|
||||
AVG(NULLIF(pt.picking_speed, 0)) as avgPickingSpeed
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN employees e ON pt.createdby = e.employeeid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby, e.firstname, e.lastname
|
||||
`;
|
||||
|
||||
// Separate query for order counts (needs bucket join for ship-together handling)
|
||||
const orderCountQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby
|
||||
`;
|
||||
|
||||
const [[pickingStatsRows], [orderCountRows]] = await Promise.all([
|
||||
connection.execute(pickingStatsQuery, params),
|
||||
connection.execute(orderCountQuery, params)
|
||||
]);
|
||||
|
||||
// Merge the results
|
||||
const orderCountMap = new Map();
|
||||
orderCountRows.forEach(row => {
|
||||
orderCountMap.set(row.employeeId, parseInt(row.ordersPicked || 0));
|
||||
});
|
||||
|
||||
// Aggregate picking totals
|
||||
let totalOrdersPicked = 0;
|
||||
let totalPiecesPicked = 0;
|
||||
let totalTickets = 0;
|
||||
let totalPickingTimeSeconds = 0;
|
||||
let pickingSpeedSum = 0;
|
||||
let pickingSpeedCount = 0;
|
||||
|
||||
const pickingByEmployee = pickingStatsRows.map(row => {
|
||||
const ordersPicked = orderCountMap.get(row.employeeId) || 0;
|
||||
totalOrdersPicked += ordersPicked;
|
||||
totalPiecesPicked += parseInt(row.piecesPicked || 0);
|
||||
totalTickets += parseInt(row.ticketCount || 0);
|
||||
totalPickingTimeSeconds += parseInt(row.pickingTimeSeconds || 0);
|
||||
if (row.avgPickingSpeed && row.avgPickingSpeed > 0) {
|
||||
pickingSpeedSum += parseFloat(row.avgPickingSpeed);
|
||||
pickingSpeedCount++;
|
||||
}
|
||||
|
||||
const empPickingHours = parseInt(row.pickingTimeSeconds || 0) / 3600;
|
||||
|
||||
return {
|
||||
employeeId: row.employeeId,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeId}`,
|
||||
ticketCount: parseInt(row.ticketCount || 0),
|
||||
ordersPicked,
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
pickingHours: empPickingHours,
|
||||
avgPickingSpeed: row.avgPickingSpeed ? parseFloat(row.avgPickingSpeed) : null,
|
||||
};
|
||||
});
|
||||
|
||||
const totalPickingHours = totalPickingTimeSeconds / 3600;
|
||||
const avgPickingSpeed = pickingSpeedCount > 0 ? pickingSpeedSum / pickingSpeedCount : 0;
|
||||
|
||||
// Query for shipped orders - totals
|
||||
// Ship-together orders: only count main orders (order_type != 8 for sub-orders, or use parent tracking)
|
||||
const shippingWhere = whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
|
||||
const shippingQuery = `
|
||||
SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
`;
|
||||
|
||||
const [shippingRows] = await connection.execute(shippingQuery, params);
|
||||
const shipping = shippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Query for shipped orders by employee
|
||||
const shippingByEmployeeQuery = `
|
||||
SELECT
|
||||
e.employeeid,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
JOIN employees e ON o.stats_cid_shipped = e.cid
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
GROUP BY e.employeeid, e.firstname, e.lastname
|
||||
ORDER BY ordersShipped DESC
|
||||
`;
|
||||
|
||||
const [shippingByEmployeeRows] = await connection.execute(shippingByEmployeeQuery, params);
|
||||
const shippingByEmployee = shippingByEmployeeRows.map(row => ({
|
||||
employeeId: row.employeeid,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeid}`,
|
||||
ordersShipped: parseInt(row.ordersShipped || 0),
|
||||
piecesShipped: parseInt(row.piecesShipped || 0),
|
||||
}));
|
||||
|
||||
// Calculate period dates for FTE calculation
|
||||
let periodStart, periodEnd;
|
||||
if (dateRange?.start) {
|
||||
periodStart = new Date(dateRange.start);
|
||||
} else if (params[0]) {
|
||||
periodStart = new Date(params[0]);
|
||||
} else {
|
||||
periodStart = new Date();
|
||||
periodStart.setDate(periodStart.getDate() - 30);
|
||||
}
|
||||
|
||||
if (dateRange?.end) {
|
||||
periodEnd = new Date(dateRange.end);
|
||||
} else if (params[1]) {
|
||||
periodEnd = new Date(params[1]);
|
||||
} else {
|
||||
periodEnd = new Date();
|
||||
}
|
||||
|
||||
const fte = calculateFTE(totalHours, periodStart, periodEnd);
|
||||
const activeEmployees = enrichedEmployeeHours.filter(e => e.hours > 0).length;
|
||||
|
||||
// Calculate weeks in period for weekly averages
|
||||
const periodDays = Math.max(1, (periodEnd - periodStart) / (1000 * 60 * 60 * 24));
|
||||
const weeksInPeriod = periodDays / 7;
|
||||
|
||||
// Get daily trend data for hours
|
||||
// Use DATE_FORMAT to get date string in Eastern timezone, avoiding JS timezone conversion issues
|
||||
// Business day starts at 1 AM, so subtract 1 hour before taking the date
|
||||
const trendWhere = whereClause.replace(/date_placed/g, 'tc.TimeStamp');
|
||||
const trendQuery = `
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(tc.TimeStamp, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
tc.EmployeeID,
|
||||
tc.TimeStamp,
|
||||
tc.PunchType
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE ${trendWhere}
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY date, tc.EmployeeID, tc.TimeStamp
|
||||
`;
|
||||
|
||||
const [trendRows] = await connection.execute(trendQuery, params);
|
||||
|
||||
// Get daily picking data for trend
|
||||
// Ship-together orders: only count main orders (is_sub = 0 or NULL)
|
||||
// Use DATE_FORMAT for consistent date string format
|
||||
const pickingTrendWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
const pickingTrendQuery = `
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked,
|
||||
COALESCE(SUM(pt.totalpieces_picked), 0) as piecesPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingTrendWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
ORDER BY date
|
||||
`;
|
||||
|
||||
const [pickingTrendRows] = await connection.execute(pickingTrendQuery, params);
|
||||
|
||||
// Create a map of picking data by date
|
||||
const pickingByDate = new Map();
|
||||
pickingTrendRows.forEach(row => {
|
||||
// Date is already a string in YYYY-MM-DD format from DATE_FORMAT
|
||||
const date = String(row.date);
|
||||
pickingByDate.set(date, {
|
||||
ordersPicked: parseInt(row.ordersPicked || 0),
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
});
|
||||
});
|
||||
|
||||
// Group timeclock by date for trend
|
||||
const byDate = new Map();
|
||||
trendRows.forEach(row => {
|
||||
// Date is already a string in YYYY-MM-DD format from DATE_FORMAT
|
||||
const date = String(row.date);
|
||||
if (!byDate.has(date)) {
|
||||
byDate.set(date, []);
|
||||
}
|
||||
byDate.get(date).push(row);
|
||||
});
|
||||
|
||||
// Generate all dates in the period range for complete trend data
|
||||
const allDatesInRange = [];
|
||||
const startDt = DateTime.fromJSDate(periodStart).setZone(TIMEZONE).startOf('day');
|
||||
const endDt = DateTime.fromJSDate(periodEnd).setZone(TIMEZONE).startOf('day');
|
||||
|
||||
let currentDt = startDt;
|
||||
while (currentDt <= endDt) {
|
||||
allDatesInRange.push(currentDt.toFormat('yyyy-MM-dd'));
|
||||
currentDt = currentDt.plus({ days: 1 });
|
||||
}
|
||||
|
||||
// Build trend data for all dates in range, filling zeros for missing days
|
||||
const trend = allDatesInRange.map(date => {
|
||||
const punches = byDate.get(date) || [];
|
||||
const { totalHours: dayHours, employeeHours: dayEmployeeHours } = calculateHoursFromPunches(punches);
|
||||
const picking = pickingByDate.get(date) || { ordersPicked: 0, piecesPicked: 0 };
|
||||
|
||||
// Parse date string in Eastern timezone to get proper ISO timestamp
|
||||
const dateDt = DateTime.fromFormat(date, 'yyyy-MM-dd', { zone: TIMEZONE });
|
||||
|
||||
return {
|
||||
date,
|
||||
timestamp: dateDt.toISO(),
|
||||
hours: dayHours,
|
||||
activeEmployees: dayEmployeeHours.filter(e => e.hours > 0).length,
|
||||
ordersPicked: picking.ordersPicked,
|
||||
piecesPicked: picking.piecesPicked,
|
||||
};
|
||||
});
|
||||
|
||||
// Get previous period data for comparison
|
||||
const previousRange = getPreviousPeriodRange(timeRange, startDate, endDate);
|
||||
let comparison = null;
|
||||
let previousTotals = null;
|
||||
|
||||
if (previousRange) {
|
||||
const prevTimeclockWhere = previousRange.whereClause.replace(/date_placed/g, 'tc.TimeStamp');
|
||||
|
||||
const [prevTimeclockRows] = await connection.execute(
|
||||
`SELECT tc.EmployeeID, tc.TimeStamp, tc.PunchType
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE ${prevTimeclockWhere}
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY tc.EmployeeID, tc.TimeStamp`,
|
||||
previousRange.params
|
||||
);
|
||||
|
||||
const {
|
||||
totalHours: prevTotalHours,
|
||||
totalProductiveHours: prevProductiveHours,
|
||||
employeeHours: prevEmployeeHours
|
||||
} = calculateHoursFromPunches(prevTimeclockRows);
|
||||
const prevActiveEmployees = prevEmployeeHours.filter(e => e.hours > 0).length;
|
||||
|
||||
// Previous picking data (ship-together fix applied)
|
||||
// Use separate queries to avoid duplication from bucket join
|
||||
const prevPickingWhere = previousRange.whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
const [[prevPickingStatsRows], [prevOrderCountRows]] = await Promise.all([
|
||||
connection.execute(
|
||||
`SELECT
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds
|
||||
FROM picking_ticket pt
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
),
|
||||
connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
)
|
||||
]);
|
||||
|
||||
const prevPickingStats = prevPickingStatsRows[0] || { piecesPicked: 0, pickingTimeSeconds: 0 };
|
||||
const prevOrderCount = prevOrderCountRows[0] || { ordersPicked: 0 };
|
||||
const prevPicking = {
|
||||
ordersPicked: parseInt(prevOrderCount.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPickingStats.piecesPicked || 0),
|
||||
pickingTimeSeconds: parseInt(prevPickingStats.pickingTimeSeconds || 0)
|
||||
};
|
||||
const prevPickingHours = prevPicking.pickingTimeSeconds / 3600;
|
||||
|
||||
// Previous shipping data
|
||||
const prevShippingWhere = previousRange.whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
const [prevShippingRows] = await connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${prevShippingWhere}
|
||||
AND o.order_status IN (100, 92)`,
|
||||
previousRange.params
|
||||
);
|
||||
const prevShipping = prevShippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Calculate previous period FTE and productivity
|
||||
const prevFte = calculateFTE(prevTotalHours, previousRange.start || periodStart, previousRange.end || periodEnd);
|
||||
const prevOrdersPerHour = prevProductiveHours > 0 ? parseInt(prevPicking.ordersPicked || 0) / prevProductiveHours : 0;
|
||||
const prevPiecesPerHour = prevProductiveHours > 0 ? parseInt(prevPicking.piecesPicked || 0) / prevProductiveHours : 0;
|
||||
|
||||
previousTotals = {
|
||||
hours: prevTotalHours,
|
||||
productiveHours: prevProductiveHours,
|
||||
activeEmployees: prevActiveEmployees,
|
||||
fte: prevFte,
|
||||
ordersPicked: parseInt(prevPicking.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPicking.piecesPicked || 0),
|
||||
pickingHours: prevPickingHours,
|
||||
ordersShipped: parseInt(prevShipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(prevShipping.piecesShipped || 0),
|
||||
ordersPerHour: prevOrdersPerHour,
|
||||
piecesPerHour: prevPiecesPerHour,
|
||||
};
|
||||
|
||||
// Calculate productivity metrics for comparison
|
||||
const currentOrdersPerHour = totalProductiveHours > 0 ? totalOrdersPicked / totalProductiveHours : 0;
|
||||
const currentPiecesPerHour = totalProductiveHours > 0 ? totalPiecesPicked / totalProductiveHours : 0;
|
||||
|
||||
comparison = {
|
||||
hours: calculateComparison(totalHours, prevTotalHours),
|
||||
productiveHours: calculateComparison(totalProductiveHours, prevProductiveHours),
|
||||
activeEmployees: calculateComparison(activeEmployees, prevActiveEmployees),
|
||||
fte: calculateComparison(fte, prevFte),
|
||||
ordersPicked: calculateComparison(totalOrdersPicked, parseInt(prevPicking.ordersPicked || 0)),
|
||||
piecesPicked: calculateComparison(totalPiecesPicked, parseInt(prevPicking.piecesPicked || 0)),
|
||||
ordersShipped: calculateComparison(parseInt(shipping.ordersShipped || 0), parseInt(prevShipping.ordersShipped || 0)),
|
||||
piecesShipped: calculateComparison(parseInt(shipping.piecesShipped || 0), parseInt(prevShipping.piecesShipped || 0)),
|
||||
ordersPerHour: calculateComparison(currentOrdersPerHour, prevOrdersPerHour),
|
||||
piecesPerHour: calculateComparison(currentPiecesPerHour, prevPiecesPerHour),
|
||||
};
|
||||
}
|
||||
|
||||
// Calculate efficiency (picking time vs productive hours)
|
||||
const pickingEfficiency = totalProductiveHours > 0 ? (totalPickingHours / totalProductiveHours) * 100 : 0;
|
||||
|
||||
const response = {
|
||||
dateRange,
|
||||
totals: {
|
||||
// Time metrics
|
||||
hours: totalHours,
|
||||
breakHours: totalBreakHours,
|
||||
productiveHours: totalProductiveHours,
|
||||
pickingHours: totalPickingHours,
|
||||
|
||||
// Employee metrics
|
||||
activeEmployees,
|
||||
fte,
|
||||
weeksInPeriod,
|
||||
|
||||
// Picking metrics
|
||||
ordersPicked: totalOrdersPicked,
|
||||
piecesPicked: totalPiecesPicked,
|
||||
ticketCount: totalTickets,
|
||||
|
||||
// Shipping metrics
|
||||
ordersShipped: parseInt(shipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(shipping.piecesShipped || 0),
|
||||
|
||||
// Calculated metrics - standardized to weekly
|
||||
hoursPerWeek: weeksInPeriod > 0 ? totalHours / weeksInPeriod : 0,
|
||||
hoursPerEmployeePerWeek: activeEmployees > 0 && weeksInPeriod > 0
|
||||
? (totalHours / activeEmployees) / weeksInPeriod
|
||||
: 0,
|
||||
|
||||
// Productivity metrics (uses productive hours - excludes breaks)
|
||||
ordersPerHour: totalProductiveHours > 0 ? totalOrdersPicked / totalProductiveHours : 0,
|
||||
piecesPerHour: totalProductiveHours > 0 ? totalPiecesPicked / totalProductiveHours : 0,
|
||||
|
||||
// Picking speed from database (more accurate, only counts picking time)
|
||||
avgPickingSpeed,
|
||||
|
||||
// Efficiency metrics
|
||||
pickingEfficiency,
|
||||
},
|
||||
previousTotals,
|
||||
comparison,
|
||||
byEmployee: {
|
||||
hours: enrichedEmployeeHours,
|
||||
picking: pickingByEmployee,
|
||||
shipping: shippingByEmployee,
|
||||
},
|
||||
trend,
|
||||
};
|
||||
|
||||
return { response, release };
|
||||
};
|
||||
|
||||
let result;
|
||||
try {
|
||||
result = await Promise.race([mainOperation(), timeoutPromise]);
|
||||
} catch (error) {
|
||||
if (error.message.includes('timeout')) {
|
||||
console.log(`[EMPLOYEE-METRICS] Request timed out in ${Date.now() - startTime}ms`);
|
||||
throw error;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
|
||||
const { response, release } = result;
|
||||
|
||||
if (release) release();
|
||||
|
||||
console.log(`[EMPLOYEE-METRICS] Request completed in ${Date.now() - startTime}ms`);
|
||||
res.json(response);
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error in /employee-metrics:', error);
|
||||
console.log(`[EMPLOYEE-METRICS] Request failed in ${Date.now() - startTime}ms`);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Health check
|
||||
router.get('/health', async (req, res) => {
|
||||
try {
|
||||
const { connection, release } = await getDbConnection();
|
||||
await connection.execute('SELECT 1 as test');
|
||||
release();
|
||||
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
pool: getPoolStatus(),
|
||||
});
|
||||
} catch (error) {
|
||||
res.status(500).json({
|
||||
status: 'unhealthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
error: error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Helper functions
|
||||
function calculateComparison(currentValue, previousValue) {
|
||||
if (typeof previousValue !== 'number') {
|
||||
return { absolute: null, percentage: null };
|
||||
}
|
||||
|
||||
const absolute = typeof currentValue === 'number' ? currentValue - previousValue : null;
|
||||
const percentage =
|
||||
absolute !== null && previousValue !== 0
|
||||
? (absolute / Math.abs(previousValue)) * 100
|
||||
: null;
|
||||
|
||||
return { absolute, percentage };
|
||||
}
|
||||
|
||||
function getPreviousPeriodRange(timeRange, startDate, endDate) {
|
||||
if (timeRange && timeRange !== 'custom') {
|
||||
const prevTimeRange = getPreviousTimeRange(timeRange);
|
||||
if (!prevTimeRange || prevTimeRange === timeRange) {
|
||||
return null;
|
||||
}
|
||||
return getTimeRangeConditions(prevTimeRange);
|
||||
}
|
||||
|
||||
const hasCustomDates = (timeRange === 'custom' || !timeRange) && startDate && endDate;
|
||||
if (!hasCustomDates) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const start = new Date(startDate);
|
||||
const end = new Date(endDate);
|
||||
|
||||
if (Number.isNaN(start.getTime()) || Number.isNaN(end.getTime())) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const duration = end.getTime() - start.getTime();
|
||||
if (!Number.isFinite(duration) || duration <= 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const prevEnd = new Date(start.getTime() - 1);
|
||||
const prevStart = new Date(prevEnd.getTime() - duration);
|
||||
|
||||
return getTimeRangeConditions('custom', prevStart.toISOString(), prevEnd.toISOString());
|
||||
}
|
||||
|
||||
function getPreviousTimeRange(timeRange) {
|
||||
const map = {
|
||||
today: 'yesterday',
|
||||
thisWeek: 'lastWeek',
|
||||
thisMonth: 'lastMonth',
|
||||
last7days: 'previous7days',
|
||||
last30days: 'previous30days',
|
||||
last90days: 'previous90days',
|
||||
yesterday: 'twoDaysAgo'
|
||||
};
|
||||
return map[timeRange] || timeRange;
|
||||
}
|
||||
|
||||
module.exports = router;
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,484 +0,0 @@
|
||||
const express = require('express');
|
||||
const { DateTime } = require('luxon');
|
||||
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getPoolStatus } = require('../db/connection');
|
||||
const {
|
||||
getTimeRangeConditions,
|
||||
} = require('../utils/timeUtils');
|
||||
|
||||
const TIMEZONE = 'America/New_York';
|
||||
|
||||
// Main operations metrics endpoint - focused on picking and shipping
|
||||
router.get('/', async (req, res) => {
|
||||
const startTime = Date.now();
|
||||
console.log(`[OPERATIONS-METRICS] Starting request for timeRange: ${req.query.timeRange}`);
|
||||
|
||||
const timeoutPromise = new Promise((_, reject) => {
|
||||
setTimeout(() => reject(new Error('Request timeout after 30 seconds')), 30000);
|
||||
});
|
||||
|
||||
try {
|
||||
const mainOperation = async () => {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
console.log(`[OPERATIONS-METRICS] Getting DB connection...`);
|
||||
const { connection, release } = await getDbConnection();
|
||||
console.log(`[OPERATIONS-METRICS] DB connection obtained in ${Date.now() - startTime}ms`);
|
||||
|
||||
const { whereClause, params, dateRange } = getTimeRangeConditions(timeRange, startDate, endDate);
|
||||
|
||||
// Query for picking tickets - using subquery to avoid duplication from bucket join
|
||||
// Ship-together orders: only count main orders (is_sub = 0 or NULL), not sub-orders
|
||||
const pickingWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
// First get picking ticket stats without the bucket join (to avoid duplication)
|
||||
const pickingStatsQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT pt.pickingid) as ticketCount,
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds,
|
||||
AVG(NULLIF(pt.picking_speed, 0)) as avgPickingSpeed
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN employees e ON pt.createdby = e.employeeid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby, e.firstname, e.lastname
|
||||
`;
|
||||
|
||||
// Separate query for order counts (needs bucket join for ship-together handling)
|
||||
const orderCountQuery = `
|
||||
SELECT
|
||||
pt.createdby as employeeId,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY pt.createdby
|
||||
`;
|
||||
|
||||
const [[pickingStatsRows], [orderCountRows]] = await Promise.all([
|
||||
connection.execute(pickingStatsQuery, params),
|
||||
connection.execute(orderCountQuery, params)
|
||||
]);
|
||||
|
||||
// Merge the results
|
||||
const orderCountMap = new Map();
|
||||
orderCountRows.forEach(row => {
|
||||
orderCountMap.set(row.employeeId, parseInt(row.ordersPicked || 0));
|
||||
});
|
||||
|
||||
// Aggregate picking totals
|
||||
let totalOrdersPicked = 0;
|
||||
let totalPiecesPicked = 0;
|
||||
let totalTickets = 0;
|
||||
let totalPickingTimeSeconds = 0;
|
||||
let pickingSpeedSum = 0;
|
||||
let pickingSpeedCount = 0;
|
||||
|
||||
const pickingByEmployee = pickingStatsRows.map(row => {
|
||||
const ordersPicked = orderCountMap.get(row.employeeId) || 0;
|
||||
totalOrdersPicked += ordersPicked;
|
||||
totalPiecesPicked += parseInt(row.piecesPicked || 0);
|
||||
totalTickets += parseInt(row.ticketCount || 0);
|
||||
totalPickingTimeSeconds += parseInt(row.pickingTimeSeconds || 0);
|
||||
if (row.avgPickingSpeed && row.avgPickingSpeed > 0) {
|
||||
pickingSpeedSum += parseFloat(row.avgPickingSpeed);
|
||||
pickingSpeedCount++;
|
||||
}
|
||||
|
||||
const empPickingHours = parseInt(row.pickingTimeSeconds || 0) / 3600;
|
||||
|
||||
return {
|
||||
employeeId: row.employeeId,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeId}`,
|
||||
ticketCount: parseInt(row.ticketCount || 0),
|
||||
ordersPicked,
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
pickingHours: empPickingHours,
|
||||
avgPickingSpeed: row.avgPickingSpeed ? parseFloat(row.avgPickingSpeed) : null,
|
||||
};
|
||||
});
|
||||
|
||||
const totalPickingHours = totalPickingTimeSeconds / 3600;
|
||||
const avgPickingSpeed = pickingSpeedCount > 0 ? pickingSpeedSum / pickingSpeedCount : 0;
|
||||
|
||||
// Query for shipped orders - totals
|
||||
// Ship-together orders: only count main orders (order_type != 8 for sub-orders)
|
||||
const shippingWhere = whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
|
||||
const shippingQuery = `
|
||||
SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
`;
|
||||
|
||||
const [shippingRows] = await connection.execute(shippingQuery, params);
|
||||
const shipping = shippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Query for shipped orders by employee
|
||||
const shippingByEmployeeQuery = `
|
||||
SELECT
|
||||
e.employeeid,
|
||||
e.firstname,
|
||||
e.lastname,
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
JOIN employees e ON o.stats_cid_shipped = e.cid
|
||||
WHERE ${shippingWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
GROUP BY e.employeeid, e.firstname, e.lastname
|
||||
ORDER BY ordersShipped DESC
|
||||
`;
|
||||
|
||||
const [shippingByEmployeeRows] = await connection.execute(shippingByEmployeeQuery, params);
|
||||
const shippingByEmployee = shippingByEmployeeRows.map(row => ({
|
||||
employeeId: row.employeeid,
|
||||
name: `${row.firstname || ''} ${row.lastname || ''}`.trim() || `Employee ${row.employeeid}`,
|
||||
ordersShipped: parseInt(row.ordersShipped || 0),
|
||||
piecesShipped: parseInt(row.piecesShipped || 0),
|
||||
}));
|
||||
|
||||
// Calculate period dates
|
||||
let periodStart, periodEnd;
|
||||
if (dateRange?.start) {
|
||||
periodStart = new Date(dateRange.start);
|
||||
} else if (params[0]) {
|
||||
periodStart = new Date(params[0]);
|
||||
} else {
|
||||
periodStart = new Date();
|
||||
periodStart.setDate(periodStart.getDate() - 30);
|
||||
}
|
||||
|
||||
if (dateRange?.end) {
|
||||
periodEnd = new Date(dateRange.end);
|
||||
} else if (params[1]) {
|
||||
periodEnd = new Date(params[1]);
|
||||
} else {
|
||||
periodEnd = new Date();
|
||||
}
|
||||
|
||||
// Calculate productivity (orders/pieces per picking hour)
|
||||
const ordersPerHour = totalPickingHours > 0 ? totalOrdersPicked / totalPickingHours : 0;
|
||||
const piecesPerHour = totalPickingHours > 0 ? totalPiecesPicked / totalPickingHours : 0;
|
||||
|
||||
// Get daily trend data for picking
|
||||
// Use DATE_FORMAT to get date string in Eastern timezone
|
||||
// Business day starts at 1 AM, so subtract 1 hour before taking the date
|
||||
const pickingTrendWhere = whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
const pickingTrendQuery = `
|
||||
SELECT
|
||||
pt_agg.date,
|
||||
COALESCE(order_counts.ordersPicked, 0) as ordersPicked,
|
||||
pt_agg.piecesPicked
|
||||
FROM (
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COALESCE(SUM(pt.totalpieces_picked), 0) as piecesPicked
|
||||
FROM picking_ticket pt
|
||||
WHERE ${pickingTrendWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
) pt_agg
|
||||
LEFT JOIN (
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${pickingTrendWhere}
|
||||
AND pt.closeddate IS NOT NULL
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(pt.createddate, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
) order_counts ON pt_agg.date = order_counts.date
|
||||
ORDER BY pt_agg.date
|
||||
`;
|
||||
|
||||
// Get shipping trend data
|
||||
const shippingTrendWhere = whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
const shippingTrendQuery = `
|
||||
SELECT
|
||||
DATE_FORMAT(DATE_SUB(o.date_shipped, INTERVAL 1 HOUR), '%Y-%m-%d') as date,
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${shippingTrendWhere}
|
||||
AND o.order_status IN (100, 92)
|
||||
GROUP BY DATE_FORMAT(DATE_SUB(o.date_shipped, INTERVAL 1 HOUR), '%Y-%m-%d')
|
||||
ORDER BY date
|
||||
`;
|
||||
|
||||
const [[pickingTrendRows], [shippingTrendRows]] = await Promise.all([
|
||||
connection.execute(pickingTrendQuery, [...params, ...params]),
|
||||
connection.execute(shippingTrendQuery, params),
|
||||
]);
|
||||
|
||||
// Create maps for trend data
|
||||
const pickingByDate = new Map();
|
||||
pickingTrendRows.forEach(row => {
|
||||
const date = String(row.date);
|
||||
pickingByDate.set(date, {
|
||||
ordersPicked: parseInt(row.ordersPicked || 0),
|
||||
piecesPicked: parseInt(row.piecesPicked || 0),
|
||||
});
|
||||
});
|
||||
|
||||
const shippingByDate = new Map();
|
||||
shippingTrendRows.forEach(row => {
|
||||
const date = String(row.date);
|
||||
shippingByDate.set(date, {
|
||||
ordersShipped: parseInt(row.ordersShipped || 0),
|
||||
piecesShipped: parseInt(row.piecesShipped || 0),
|
||||
});
|
||||
});
|
||||
|
||||
// Generate all dates in the period range for complete trend data
|
||||
const allDatesInRange = [];
|
||||
const startDt = DateTime.fromJSDate(periodStart).setZone(TIMEZONE).startOf('day');
|
||||
const endDt = DateTime.fromJSDate(periodEnd).setZone(TIMEZONE).startOf('day');
|
||||
|
||||
let currentDt = startDt;
|
||||
while (currentDt <= endDt) {
|
||||
allDatesInRange.push(currentDt.toFormat('yyyy-MM-dd'));
|
||||
currentDt = currentDt.plus({ days: 1 });
|
||||
}
|
||||
|
||||
// Build trend data for all dates in range
|
||||
const trend = allDatesInRange.map(date => {
|
||||
const picking = pickingByDate.get(date) || { ordersPicked: 0, piecesPicked: 0 };
|
||||
const shippingData = shippingByDate.get(date) || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Parse date string in Eastern timezone to get proper ISO timestamp
|
||||
const dateDt = DateTime.fromFormat(date, 'yyyy-MM-dd', { zone: TIMEZONE });
|
||||
|
||||
return {
|
||||
date,
|
||||
timestamp: dateDt.toISO(),
|
||||
ordersPicked: picking.ordersPicked,
|
||||
piecesPicked: picking.piecesPicked,
|
||||
ordersShipped: shippingData.ordersShipped,
|
||||
piecesShipped: shippingData.piecesShipped,
|
||||
};
|
||||
});
|
||||
|
||||
// Get previous period data for comparison
|
||||
const previousRange = getPreviousPeriodRange(timeRange, startDate, endDate);
|
||||
let comparison = null;
|
||||
let previousTotals = null;
|
||||
|
||||
if (previousRange) {
|
||||
// Previous picking data
|
||||
const prevPickingWhere = previousRange.whereClause.replace(/date_placed/g, 'pt.createddate');
|
||||
|
||||
const [[prevPickingStatsRows], [prevOrderCountRows]] = await Promise.all([
|
||||
connection.execute(
|
||||
`SELECT
|
||||
SUM(pt.totalpieces_picked) as piecesPicked,
|
||||
SUM(TIMESTAMPDIFF(SECOND, pt.createddate, pt.closeddate)) as pickingTimeSeconds
|
||||
FROM picking_ticket pt
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
),
|
||||
connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN ptb.is_sub = 0 OR ptb.is_sub IS NULL THEN ptb.orderid END) as ordersPicked
|
||||
FROM picking_ticket pt
|
||||
LEFT JOIN picking_ticket_buckets ptb ON pt.pickingid = ptb.pickingid
|
||||
WHERE ${prevPickingWhere}
|
||||
AND pt.closeddate IS NOT NULL`,
|
||||
previousRange.params
|
||||
)
|
||||
]);
|
||||
|
||||
const prevPickingStats = prevPickingStatsRows[0] || { piecesPicked: 0, pickingTimeSeconds: 0 };
|
||||
const prevOrderCount = prevOrderCountRows[0] || { ordersPicked: 0 };
|
||||
const prevPicking = {
|
||||
ordersPicked: parseInt(prevOrderCount.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPickingStats.piecesPicked || 0),
|
||||
pickingTimeSeconds: parseInt(prevPickingStats.pickingTimeSeconds || 0)
|
||||
};
|
||||
const prevPickingHours = prevPicking.pickingTimeSeconds / 3600;
|
||||
|
||||
// Previous shipping data
|
||||
const prevShippingWhere = previousRange.whereClause.replace(/date_placed/g, 'o.date_shipped');
|
||||
const [prevShippingRows] = await connection.execute(
|
||||
`SELECT
|
||||
COUNT(DISTINCT CASE WHEN o.order_type != 8 OR o.order_type IS NULL THEN o.order_id END) as ordersShipped,
|
||||
COALESCE(SUM(o.stats_prod_pieces), 0) as piecesShipped
|
||||
FROM _order o
|
||||
WHERE ${prevShippingWhere}
|
||||
AND o.order_status IN (100, 92)`,
|
||||
previousRange.params
|
||||
);
|
||||
const prevShipping = prevShippingRows[0] || { ordersShipped: 0, piecesShipped: 0 };
|
||||
|
||||
// Calculate previous productivity
|
||||
const prevOrdersPerHour = prevPickingHours > 0 ? parseInt(prevPicking.ordersPicked || 0) / prevPickingHours : 0;
|
||||
const prevPiecesPerHour = prevPickingHours > 0 ? parseInt(prevPicking.piecesPicked || 0) / prevPickingHours : 0;
|
||||
|
||||
previousTotals = {
|
||||
ordersPicked: parseInt(prevPicking.ordersPicked || 0),
|
||||
piecesPicked: parseInt(prevPicking.piecesPicked || 0),
|
||||
pickingHours: prevPickingHours,
|
||||
ordersShipped: parseInt(prevShipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(prevShipping.piecesShipped || 0),
|
||||
ordersPerHour: prevOrdersPerHour,
|
||||
piecesPerHour: prevPiecesPerHour,
|
||||
};
|
||||
|
||||
comparison = {
|
||||
ordersPicked: calculateComparison(totalOrdersPicked, parseInt(prevPicking.ordersPicked || 0)),
|
||||
piecesPicked: calculateComparison(totalPiecesPicked, parseInt(prevPicking.piecesPicked || 0)),
|
||||
ordersShipped: calculateComparison(parseInt(shipping.ordersShipped || 0), parseInt(prevShipping.ordersShipped || 0)),
|
||||
piecesShipped: calculateComparison(parseInt(shipping.piecesShipped || 0), parseInt(prevShipping.piecesShipped || 0)),
|
||||
ordersPerHour: calculateComparison(ordersPerHour, prevOrdersPerHour),
|
||||
piecesPerHour: calculateComparison(piecesPerHour, prevPiecesPerHour),
|
||||
};
|
||||
}
|
||||
|
||||
const response = {
|
||||
dateRange,
|
||||
totals: {
|
||||
// Picking metrics
|
||||
ordersPicked: totalOrdersPicked,
|
||||
piecesPicked: totalPiecesPicked,
|
||||
ticketCount: totalTickets,
|
||||
pickingHours: totalPickingHours,
|
||||
|
||||
// Shipping metrics
|
||||
ordersShipped: parseInt(shipping.ordersShipped || 0),
|
||||
piecesShipped: parseInt(shipping.piecesShipped || 0),
|
||||
|
||||
// Productivity metrics
|
||||
ordersPerHour,
|
||||
piecesPerHour,
|
||||
avgPickingSpeed,
|
||||
},
|
||||
previousTotals,
|
||||
comparison,
|
||||
byEmployee: {
|
||||
picking: pickingByEmployee,
|
||||
shipping: shippingByEmployee,
|
||||
},
|
||||
trend,
|
||||
};
|
||||
|
||||
return { response, release };
|
||||
};
|
||||
|
||||
let result;
|
||||
try {
|
||||
result = await Promise.race([mainOperation(), timeoutPromise]);
|
||||
} catch (error) {
|
||||
if (error.message.includes('timeout')) {
|
||||
console.log(`[OPERATIONS-METRICS] Request timed out in ${Date.now() - startTime}ms`);
|
||||
throw error;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
|
||||
const { response, release } = result;
|
||||
|
||||
if (release) release();
|
||||
|
||||
console.log(`[OPERATIONS-METRICS] Request completed in ${Date.now() - startTime}ms`);
|
||||
res.json(response);
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error in /operations-metrics:', error);
|
||||
console.log(`[OPERATIONS-METRICS] Request failed in ${Date.now() - startTime}ms`);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Health check
|
||||
router.get('/health', async (req, res) => {
|
||||
try {
|
||||
const { connection, release } = await getDbConnection();
|
||||
await connection.execute('SELECT 1 as test');
|
||||
release();
|
||||
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
pool: getPoolStatus(),
|
||||
});
|
||||
} catch (error) {
|
||||
res.status(500).json({
|
||||
status: 'unhealthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
error: error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Helper functions
|
||||
function calculateComparison(currentValue, previousValue) {
|
||||
if (typeof previousValue !== 'number') {
|
||||
return { absolute: null, percentage: null };
|
||||
}
|
||||
|
||||
const absolute = typeof currentValue === 'number' ? currentValue - previousValue : null;
|
||||
const percentage =
|
||||
absolute !== null && previousValue !== 0
|
||||
? (absolute / Math.abs(previousValue)) * 100
|
||||
: null;
|
||||
|
||||
return { absolute, percentage };
|
||||
}
|
||||
|
||||
function getPreviousPeriodRange(timeRange, startDate, endDate) {
|
||||
if (timeRange && timeRange !== 'custom') {
|
||||
const prevTimeRange = getPreviousTimeRange(timeRange);
|
||||
if (!prevTimeRange || prevTimeRange === timeRange) {
|
||||
return null;
|
||||
}
|
||||
return getTimeRangeConditions(prevTimeRange);
|
||||
}
|
||||
|
||||
const hasCustomDates = (timeRange === 'custom' || !timeRange) && startDate && endDate;
|
||||
if (!hasCustomDates) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const start = new Date(startDate);
|
||||
const end = new Date(endDate);
|
||||
|
||||
if (Number.isNaN(start.getTime()) || Number.isNaN(end.getTime())) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const duration = end.getTime() - start.getTime();
|
||||
if (!Number.isFinite(duration) || duration <= 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const prevEnd = new Date(start.getTime() - 1);
|
||||
const prevStart = new Date(prevEnd.getTime() - duration);
|
||||
|
||||
return getTimeRangeConditions('custom', prevStart.toISOString(), prevEnd.toISOString());
|
||||
}
|
||||
|
||||
function getPreviousTimeRange(timeRange) {
|
||||
const map = {
|
||||
today: 'yesterday',
|
||||
thisWeek: 'lastWeek',
|
||||
thisMonth: 'lastMonth',
|
||||
last7days: 'previous7days',
|
||||
last30days: 'previous30days',
|
||||
last90days: 'previous90days',
|
||||
yesterday: 'twoDaysAgo'
|
||||
};
|
||||
return map[timeRange] || timeRange;
|
||||
}
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,505 +0,0 @@
|
||||
const express = require('express');
|
||||
const { DateTime } = require('luxon');
|
||||
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getPoolStatus } = require('../db/connection');
|
||||
|
||||
const TIMEZONE = 'America/New_York';
|
||||
|
||||
// Punch types from the database
|
||||
const PUNCH_TYPES = {
|
||||
OUT: 0,
|
||||
IN: 1,
|
||||
BREAK_START: 2,
|
||||
BREAK_END: 3,
|
||||
};
|
||||
|
||||
// Standard hours for overtime calculation (40 hours per week)
|
||||
const STANDARD_WEEKLY_HOURS = 40;
|
||||
|
||||
// Reference pay period start date (January 25, 2026 is a Sunday, first day of a pay period)
|
||||
const PAY_PERIOD_REFERENCE = DateTime.fromObject(
|
||||
{ year: 2026, month: 1, day: 25 },
|
||||
{ zone: TIMEZONE }
|
||||
);
|
||||
|
||||
/**
|
||||
* Calculate the pay period that contains a given date
|
||||
* Pay periods are 14 days starting on Sunday
|
||||
* @param {DateTime} date - The date to find the pay period for
|
||||
* @returns {{ start: DateTime, end: DateTime, week1: { start: DateTime, end: DateTime }, week2: { start: DateTime, end: DateTime } }}
|
||||
*/
|
||||
function getPayPeriodForDate(date) {
|
||||
const dt = DateTime.isDateTime(date) ? date : DateTime.fromJSDate(date, { zone: TIMEZONE });
|
||||
|
||||
// Calculate days since reference
|
||||
const daysSinceReference = Math.floor(dt.diff(PAY_PERIOD_REFERENCE, 'days').days);
|
||||
|
||||
// Find which pay period this falls into (can be negative for dates before reference)
|
||||
const payPeriodIndex = Math.floor(daysSinceReference / 14);
|
||||
|
||||
// Calculate the start of this pay period
|
||||
const start = PAY_PERIOD_REFERENCE.plus({ days: payPeriodIndex * 14 }).startOf('day');
|
||||
const end = start.plus({ days: 13 }).endOf('day');
|
||||
|
||||
// Week 1: Sunday through Saturday
|
||||
const week1Start = start;
|
||||
const week1End = start.plus({ days: 6 }).endOf('day');
|
||||
|
||||
// Week 2: Sunday through Saturday
|
||||
const week2Start = start.plus({ days: 7 }).startOf('day');
|
||||
const week2End = end;
|
||||
|
||||
return {
|
||||
start,
|
||||
end,
|
||||
week1: { start: week1Start, end: week1End },
|
||||
week2: { start: week2Start, end: week2End },
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the current pay period
|
||||
*/
|
||||
function getCurrentPayPeriod() {
|
||||
return getPayPeriodForDate(DateTime.now().setZone(TIMEZONE));
|
||||
}
|
||||
|
||||
/**
|
||||
* Navigate to previous or next pay period
|
||||
* @param {DateTime} currentStart - Current pay period start
|
||||
* @param {number} offset - Number of pay periods to move (negative for previous)
|
||||
*/
|
||||
function navigatePayPeriod(currentStart, offset) {
|
||||
const newStart = currentStart.plus({ days: offset * 14 });
|
||||
return getPayPeriodForDate(newStart);
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate working hours from timeclock entries, broken down by week
|
||||
* @param {Array} punches - Timeclock punch entries
|
||||
* @param {Object} payPeriod - Pay period with week boundaries
|
||||
*/
|
||||
function calculateHoursByWeek(punches, payPeriod) {
|
||||
// Group by employee
|
||||
const byEmployee = new Map();
|
||||
|
||||
punches.forEach(punch => {
|
||||
if (!byEmployee.has(punch.EmployeeID)) {
|
||||
byEmployee.set(punch.EmployeeID, {
|
||||
employeeId: punch.EmployeeID,
|
||||
firstname: punch.firstname || '',
|
||||
lastname: punch.lastname || '',
|
||||
punches: [],
|
||||
});
|
||||
}
|
||||
byEmployee.get(punch.EmployeeID).punches.push(punch);
|
||||
});
|
||||
|
||||
const employeeResults = [];
|
||||
let totalHours = 0;
|
||||
let totalBreakHours = 0;
|
||||
let totalOvertimeHours = 0;
|
||||
let totalRegularHours = 0;
|
||||
let week1TotalHours = 0;
|
||||
let week1TotalOvertime = 0;
|
||||
let week2TotalHours = 0;
|
||||
let week2TotalOvertime = 0;
|
||||
|
||||
byEmployee.forEach((employeeData) => {
|
||||
// Sort punches by timestamp
|
||||
employeeData.punches.sort((a, b) => new Date(a.TimeStamp) - new Date(b.TimeStamp));
|
||||
|
||||
// Calculate hours for each week
|
||||
const week1Punches = employeeData.punches.filter(p => {
|
||||
const dt = DateTime.fromJSDate(new Date(p.TimeStamp), { zone: TIMEZONE });
|
||||
return dt >= payPeriod.week1.start && dt <= payPeriod.week1.end;
|
||||
});
|
||||
|
||||
const week2Punches = employeeData.punches.filter(p => {
|
||||
const dt = DateTime.fromJSDate(new Date(p.TimeStamp), { zone: TIMEZONE });
|
||||
return dt >= payPeriod.week2.start && dt <= payPeriod.week2.end;
|
||||
});
|
||||
|
||||
const week1Hours = calculateHoursFromPunches(week1Punches);
|
||||
const week2Hours = calculateHoursFromPunches(week2Punches);
|
||||
|
||||
// Calculate overtime per week (anything over 40 hours)
|
||||
const week1Overtime = Math.max(0, week1Hours.hours - STANDARD_WEEKLY_HOURS);
|
||||
const week2Overtime = Math.max(0, week2Hours.hours - STANDARD_WEEKLY_HOURS);
|
||||
const week1Regular = week1Hours.hours - week1Overtime;
|
||||
const week2Regular = week2Hours.hours - week2Overtime;
|
||||
|
||||
const employeeTotal = week1Hours.hours + week2Hours.hours;
|
||||
const employeeBreaks = week1Hours.breakHours + week2Hours.breakHours;
|
||||
const employeeOvertime = week1Overtime + week2Overtime;
|
||||
const employeeRegular = employeeTotal - employeeOvertime;
|
||||
|
||||
totalHours += employeeTotal;
|
||||
totalBreakHours += employeeBreaks;
|
||||
totalOvertimeHours += employeeOvertime;
|
||||
totalRegularHours += employeeRegular;
|
||||
week1TotalHours += week1Hours.hours;
|
||||
week1TotalOvertime += week1Overtime;
|
||||
week2TotalHours += week2Hours.hours;
|
||||
week2TotalOvertime += week2Overtime;
|
||||
|
||||
employeeResults.push({
|
||||
employeeId: employeeData.employeeId,
|
||||
name: `${employeeData.firstname} ${employeeData.lastname}`.trim() || `Employee ${employeeData.employeeId}`,
|
||||
week1Hours: week1Hours.hours,
|
||||
week1BreakHours: week1Hours.breakHours,
|
||||
week1Overtime,
|
||||
week1Regular,
|
||||
week2Hours: week2Hours.hours,
|
||||
week2BreakHours: week2Hours.breakHours,
|
||||
week2Overtime,
|
||||
week2Regular,
|
||||
totalHours: employeeTotal,
|
||||
totalBreakHours: employeeBreaks,
|
||||
overtimeHours: employeeOvertime,
|
||||
regularHours: employeeRegular,
|
||||
});
|
||||
});
|
||||
|
||||
// Sort by total hours descending
|
||||
employeeResults.sort((a, b) => b.totalHours - a.totalHours);
|
||||
|
||||
return {
|
||||
byEmployee: employeeResults,
|
||||
totals: {
|
||||
hours: totalHours,
|
||||
breakHours: totalBreakHours,
|
||||
overtimeHours: totalOvertimeHours,
|
||||
regularHours: totalRegularHours,
|
||||
activeEmployees: employeeResults.filter(e => e.totalHours > 0).length,
|
||||
},
|
||||
byWeek: [
|
||||
{
|
||||
week: 1,
|
||||
start: payPeriod.week1.start.toISODate(),
|
||||
end: payPeriod.week1.end.toISODate(),
|
||||
hours: week1TotalHours,
|
||||
overtime: week1TotalOvertime,
|
||||
regular: week1TotalHours - week1TotalOvertime,
|
||||
},
|
||||
{
|
||||
week: 2,
|
||||
start: payPeriod.week2.start.toISODate(),
|
||||
end: payPeriod.week2.end.toISODate(),
|
||||
hours: week2TotalHours,
|
||||
overtime: week2TotalOvertime,
|
||||
regular: week2TotalHours - week2TotalOvertime,
|
||||
},
|
||||
],
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate hours from a set of punches
|
||||
*/
|
||||
function calculateHoursFromPunches(punches) {
|
||||
let hours = 0;
|
||||
let breakHours = 0;
|
||||
let currentIn = null;
|
||||
let breakStart = null;
|
||||
|
||||
punches.forEach(punch => {
|
||||
const punchTime = new Date(punch.TimeStamp);
|
||||
|
||||
switch (punch.PunchType) {
|
||||
case PUNCH_TYPES.IN:
|
||||
currentIn = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.OUT:
|
||||
if (currentIn) {
|
||||
hours += (punchTime - currentIn) / (1000 * 60 * 60);
|
||||
currentIn = null;
|
||||
}
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_START:
|
||||
breakStart = punchTime;
|
||||
break;
|
||||
case PUNCH_TYPES.BREAK_END:
|
||||
if (breakStart) {
|
||||
breakHours += (punchTime - breakStart) / (1000 * 60 * 60);
|
||||
breakStart = null;
|
||||
}
|
||||
break;
|
||||
}
|
||||
});
|
||||
|
||||
return { hours, breakHours };
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculate FTE for a pay period (based on 80 hours = 1 FTE for 2-week period)
|
||||
* @param {number} totalHours - Total hours worked
|
||||
* @param {number} elapsedFraction - Fraction of the period elapsed (0-1). Defaults to 1 for complete periods.
|
||||
*/
|
||||
function calculateFTE(totalHours, elapsedFraction = 1) {
|
||||
const fullTimePeriodHours = STANDARD_WEEKLY_HOURS * 2; // 80 hours for 2 weeks
|
||||
const proratedHours = fullTimePeriodHours * elapsedFraction;
|
||||
return proratedHours > 0 ? totalHours / proratedHours : 0;
|
||||
}
|
||||
|
||||
// Main payroll metrics endpoint
|
||||
router.get('/', async (req, res) => {
|
||||
const startTime = Date.now();
|
||||
console.log(`[PAYROLL-METRICS] Starting request`);
|
||||
|
||||
const timeoutPromise = new Promise((_, reject) => {
|
||||
setTimeout(() => reject(new Error('Request timeout after 30 seconds')), 30000);
|
||||
});
|
||||
|
||||
try {
|
||||
const mainOperation = async () => {
|
||||
const { payPeriodStart, navigate } = req.query;
|
||||
|
||||
let payPeriod;
|
||||
|
||||
if (payPeriodStart) {
|
||||
// Parse the provided start date
|
||||
const startDate = DateTime.fromISO(payPeriodStart, { zone: TIMEZONE });
|
||||
if (!startDate.isValid) {
|
||||
return res.status(400).json({ error: 'Invalid payPeriodStart date format' });
|
||||
}
|
||||
payPeriod = getPayPeriodForDate(startDate);
|
||||
} else {
|
||||
// Default to current pay period
|
||||
payPeriod = getCurrentPayPeriod();
|
||||
}
|
||||
|
||||
// Handle navigation if requested
|
||||
if (navigate) {
|
||||
const offset = parseInt(navigate, 10);
|
||||
if (!isNaN(offset)) {
|
||||
payPeriod = navigatePayPeriod(payPeriod.start, offset);
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`[PAYROLL-METRICS] Getting DB connection...`);
|
||||
const { connection, release } = await getDbConnection();
|
||||
console.log(`[PAYROLL-METRICS] DB connection obtained in ${Date.now() - startTime}ms`);
|
||||
|
||||
// Build query for the pay period
|
||||
const periodStart = payPeriod.start.toJSDate();
|
||||
const periodEnd = payPeriod.end.toJSDate();
|
||||
|
||||
const timeclockQuery = `
|
||||
SELECT
|
||||
tc.EmployeeID,
|
||||
tc.TimeStamp,
|
||||
tc.PunchType,
|
||||
e.firstname,
|
||||
e.lastname
|
||||
FROM timeclock tc
|
||||
LEFT JOIN employees e ON tc.EmployeeID = e.employeeid
|
||||
WHERE tc.TimeStamp >= ? AND tc.TimeStamp <= ?
|
||||
AND e.hidden = 0
|
||||
AND e.disabled = 0
|
||||
ORDER BY tc.EmployeeID, tc.TimeStamp
|
||||
`;
|
||||
|
||||
const [timeclockRows] = await connection.execute(timeclockQuery, [periodStart, periodEnd]);
|
||||
|
||||
// Calculate hours with week breakdown
|
||||
const hoursData = calculateHoursByWeek(timeclockRows, payPeriod);
|
||||
|
||||
// Calculate FTE — prorate for in-progress periods so the value reflects
|
||||
// the pace employees are on rather than raw hours / 80
|
||||
let elapsedFraction = 1;
|
||||
if (isCurrentPayPeriod(payPeriod)) {
|
||||
const now = DateTime.now().setZone(TIMEZONE);
|
||||
const elapsedDays = Math.max(1, Math.ceil(now.diff(payPeriod.start, 'days').days));
|
||||
elapsedFraction = Math.min(1, elapsedDays / 14);
|
||||
}
|
||||
const fte = calculateFTE(hoursData.totals.hours, elapsedFraction);
|
||||
const activeEmployees = hoursData.totals.activeEmployees;
|
||||
const avgHoursPerEmployee = activeEmployees > 0 ? hoursData.totals.hours / activeEmployees : 0;
|
||||
|
||||
// Get previous pay period data for comparison
|
||||
const prevPayPeriod = navigatePayPeriod(payPeriod.start, -1);
|
||||
const [prevTimeclockRows] = await connection.execute(timeclockQuery, [
|
||||
prevPayPeriod.start.toJSDate(),
|
||||
prevPayPeriod.end.toJSDate(),
|
||||
]);
|
||||
|
||||
const prevHoursData = calculateHoursByWeek(prevTimeclockRows, prevPayPeriod);
|
||||
const prevFte = calculateFTE(prevHoursData.totals.hours);
|
||||
|
||||
// Calculate comparisons
|
||||
const comparison = {
|
||||
hours: calculateComparison(hoursData.totals.hours, prevHoursData.totals.hours),
|
||||
overtimeHours: calculateComparison(hoursData.totals.overtimeHours, prevHoursData.totals.overtimeHours),
|
||||
fte: calculateComparison(fte, prevFte),
|
||||
activeEmployees: calculateComparison(hoursData.totals.activeEmployees, prevHoursData.totals.activeEmployees),
|
||||
};
|
||||
|
||||
const response = {
|
||||
payPeriod: {
|
||||
start: payPeriod.start.toISODate(),
|
||||
end: payPeriod.end.toISODate(),
|
||||
label: formatPayPeriodLabel(payPeriod),
|
||||
week1: {
|
||||
start: payPeriod.week1.start.toISODate(),
|
||||
end: payPeriod.week1.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week1),
|
||||
},
|
||||
week2: {
|
||||
start: payPeriod.week2.start.toISODate(),
|
||||
end: payPeriod.week2.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week2),
|
||||
},
|
||||
isCurrent: isCurrentPayPeriod(payPeriod),
|
||||
},
|
||||
totals: {
|
||||
hours: hoursData.totals.hours,
|
||||
breakHours: hoursData.totals.breakHours,
|
||||
overtimeHours: hoursData.totals.overtimeHours,
|
||||
regularHours: hoursData.totals.regularHours,
|
||||
activeEmployees,
|
||||
fte,
|
||||
avgHoursPerEmployee,
|
||||
},
|
||||
previousTotals: {
|
||||
hours: prevHoursData.totals.hours,
|
||||
overtimeHours: prevHoursData.totals.overtimeHours,
|
||||
activeEmployees: prevHoursData.totals.activeEmployees,
|
||||
fte: prevFte,
|
||||
},
|
||||
comparison,
|
||||
byEmployee: hoursData.byEmployee,
|
||||
byWeek: hoursData.byWeek,
|
||||
};
|
||||
|
||||
return { response, release };
|
||||
};
|
||||
|
||||
let result;
|
||||
try {
|
||||
result = await Promise.race([mainOperation(), timeoutPromise]);
|
||||
} catch (error) {
|
||||
if (error.message.includes('timeout')) {
|
||||
console.log(`[PAYROLL-METRICS] Request timed out in ${Date.now() - startTime}ms`);
|
||||
throw error;
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
|
||||
const { response, release } = result;
|
||||
|
||||
if (release) release();
|
||||
|
||||
console.log(`[PAYROLL-METRICS] Request completed in ${Date.now() - startTime}ms`);
|
||||
res.json(response);
|
||||
|
||||
} catch (error) {
|
||||
console.error('Error in /payroll-metrics:', error);
|
||||
console.log(`[PAYROLL-METRICS] Request failed in ${Date.now() - startTime}ms`);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Get pay period info endpoint (for navigation without full data)
|
||||
router.get('/period-info', async (req, res) => {
|
||||
try {
|
||||
const { payPeriodStart, navigate } = req.query;
|
||||
|
||||
let payPeriod;
|
||||
|
||||
if (payPeriodStart) {
|
||||
const startDate = DateTime.fromISO(payPeriodStart, { zone: TIMEZONE });
|
||||
if (!startDate.isValid) {
|
||||
return res.status(400).json({ error: 'Invalid payPeriodStart date format' });
|
||||
}
|
||||
payPeriod = getPayPeriodForDate(startDate);
|
||||
} else {
|
||||
payPeriod = getCurrentPayPeriod();
|
||||
}
|
||||
|
||||
if (navigate) {
|
||||
const offset = parseInt(navigate, 10);
|
||||
if (!isNaN(offset)) {
|
||||
payPeriod = navigatePayPeriod(payPeriod.start, offset);
|
||||
}
|
||||
}
|
||||
|
||||
res.json({
|
||||
payPeriod: {
|
||||
start: payPeriod.start.toISODate(),
|
||||
end: payPeriod.end.toISODate(),
|
||||
label: formatPayPeriodLabel(payPeriod),
|
||||
week1: {
|
||||
start: payPeriod.week1.start.toISODate(),
|
||||
end: payPeriod.week1.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week1),
|
||||
},
|
||||
week2: {
|
||||
start: payPeriod.week2.start.toISODate(),
|
||||
end: payPeriod.week2.end.toISODate(),
|
||||
label: formatWeekLabel(payPeriod.week2),
|
||||
},
|
||||
isCurrent: isCurrentPayPeriod(payPeriod),
|
||||
},
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error in /payroll-metrics/period-info:', error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Health check
|
||||
router.get('/health', async (req, res) => {
|
||||
try {
|
||||
const { connection, release } = await getDbConnection();
|
||||
await connection.execute('SELECT 1 as test');
|
||||
release();
|
||||
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
pool: getPoolStatus(),
|
||||
});
|
||||
} catch (error) {
|
||||
res.status(500).json({
|
||||
status: 'unhealthy',
|
||||
timestamp: new Date().toISOString(),
|
||||
error: error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Helper functions
|
||||
function calculateComparison(currentValue, previousValue) {
|
||||
if (typeof previousValue !== 'number') {
|
||||
return { absolute: null, percentage: null };
|
||||
}
|
||||
|
||||
const absolute = typeof currentValue === 'number' ? currentValue - previousValue : null;
|
||||
const percentage =
|
||||
absolute !== null && previousValue !== 0
|
||||
? (absolute / Math.abs(previousValue)) * 100
|
||||
: null;
|
||||
|
||||
return { absolute, percentage };
|
||||
}
|
||||
|
||||
function formatPayPeriodLabel(payPeriod) {
|
||||
const startStr = payPeriod.start.toFormat('MMM d');
|
||||
const endStr = payPeriod.end.toFormat('MMM d, yyyy');
|
||||
return `${startStr} – ${endStr}`;
|
||||
}
|
||||
|
||||
function formatWeekLabel(week) {
|
||||
const startStr = week.start.toFormat('MMM d');
|
||||
const endStr = week.end.toFormat('MMM d');
|
||||
return `${startStr} – ${endStr}`;
|
||||
}
|
||||
|
||||
function isCurrentPayPeriod(payPeriod) {
|
||||
const now = DateTime.now().setZone(TIMEZONE);
|
||||
return now >= payPeriod.start && now <= payPeriod.end;
|
||||
}
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,57 +0,0 @@
|
||||
const express = require('express');
|
||||
const router = express.Router();
|
||||
const { getDbConnection, getCachedQuery } = require('../db/connection');
|
||||
|
||||
// Test endpoint to count orders
|
||||
router.get('/order-count', async (req, res) => {
|
||||
try {
|
||||
const { connection } = await getDbConnection();
|
||||
|
||||
// Simple query to count orders from _order table
|
||||
const queryFn = async () => {
|
||||
const [rows] = await connection.execute('SELECT COUNT(*) as count FROM _order');
|
||||
return rows[0].count;
|
||||
};
|
||||
|
||||
const cacheKey = 'order-count';
|
||||
const count = await getCachedQuery(cacheKey, 'default', queryFn);
|
||||
|
||||
res.json({
|
||||
success: true,
|
||||
data: {
|
||||
orderCount: count,
|
||||
timestamp: new Date().toISOString()
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error fetching order count:', error);
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Test connection endpoint
|
||||
router.get('/test-connection', async (req, res) => {
|
||||
try {
|
||||
const { connection } = await getDbConnection();
|
||||
|
||||
// Test the connection with a simple query
|
||||
const [rows] = await connection.execute('SELECT 1 as test');
|
||||
|
||||
res.json({
|
||||
success: true,
|
||||
message: 'Database connection successful',
|
||||
data: rows[0]
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error testing connection:', error);
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,102 +0,0 @@
|
||||
require('dotenv').config();
|
||||
const express = require('express');
|
||||
const cors = require('cors');
|
||||
const morgan = require('morgan');
|
||||
const compression = require('compression');
|
||||
const fs = require('fs');
|
||||
const path = require('path');
|
||||
const { closeAllConnections } = require('./db/connection');
|
||||
|
||||
const app = express();
|
||||
const PORT = process.env.ACOT_PORT || 3012;
|
||||
|
||||
// Create logs directory if it doesn't exist
|
||||
const logDir = path.join(__dirname, 'logs/app');
|
||||
if (!fs.existsSync(logDir)) {
|
||||
fs.mkdirSync(logDir, { recursive: true });
|
||||
}
|
||||
|
||||
// Create a write stream for access logs
|
||||
const accessLogStream = fs.createWriteStream(
|
||||
path.join(logDir, 'access.log'),
|
||||
{ flags: 'a' }
|
||||
);
|
||||
|
||||
// Middleware
|
||||
app.use(compression());
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
app.use(express.urlencoded({ extended: true }));
|
||||
|
||||
// Logging middleware
|
||||
if (process.env.NODE_ENV === 'production') {
|
||||
app.use(morgan('combined', { stream: accessLogStream }));
|
||||
} else {
|
||||
app.use(morgan('dev'));
|
||||
}
|
||||
|
||||
// Health check endpoint
|
||||
app.get('/health', (req, res) => {
|
||||
res.json({
|
||||
status: 'healthy',
|
||||
service: 'acot-server',
|
||||
timestamp: new Date().toISOString(),
|
||||
uptime: process.uptime()
|
||||
});
|
||||
});
|
||||
|
||||
// Routes
|
||||
app.use('/api/acot/test', require('./routes/test'));
|
||||
app.use('/api/acot/events', require('./routes/events'));
|
||||
app.use('/api/acot/discounts', require('./routes/discounts'));
|
||||
app.use('/api/acot/employee-metrics', require('./routes/employee-metrics'));
|
||||
app.use('/api/acot/payroll-metrics', require('./routes/payroll-metrics'));
|
||||
app.use('/api/acot/operations-metrics', require('./routes/operations-metrics'));
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
console.error('Unhandled error:', err);
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: process.env.NODE_ENV === 'production'
|
||||
? 'Internal server error'
|
||||
: err.message
|
||||
});
|
||||
});
|
||||
|
||||
// 404 handler
|
||||
app.use((req, res) => {
|
||||
res.status(404).json({
|
||||
success: false,
|
||||
error: 'Route not found'
|
||||
});
|
||||
});
|
||||
|
||||
// Start server
|
||||
const server = app.listen(PORT, () => {
|
||||
console.log(`ACOT Server running on port ${PORT}`);
|
||||
console.log(`Environment: ${process.env.NODE_ENV}`);
|
||||
});
|
||||
|
||||
// Graceful shutdown
|
||||
const gracefulShutdown = async () => {
|
||||
console.log('SIGTERM signal received: closing HTTP server');
|
||||
server.close(async () => {
|
||||
console.log('HTTP server closed');
|
||||
|
||||
// Close database connections
|
||||
try {
|
||||
await closeAllConnections();
|
||||
console.log('Database connections closed');
|
||||
} catch (error) {
|
||||
console.error('Error closing database connections:', error);
|
||||
}
|
||||
|
||||
process.exit(0);
|
||||
});
|
||||
};
|
||||
|
||||
process.on('SIGTERM', gracefulShutdown);
|
||||
process.on('SIGINT', gracefulShutdown);
|
||||
|
||||
module.exports = app;
|
||||
@@ -1,312 +0,0 @@
|
||||
const { DateTime } = require('luxon');
|
||||
|
||||
const TIMEZONE = 'America/New_York';
|
||||
const DB_TIMEZONE = 'UTC-05:00';
|
||||
const BUSINESS_DAY_START_HOUR = 1; // 1 AM Eastern
|
||||
const WEEK_START_DAY = 7; // Sunday (Luxon uses 1 = Monday, 7 = Sunday)
|
||||
const DB_DATETIME_FORMAT = 'yyyy-LL-dd HH:mm:ss';
|
||||
|
||||
const isDateTime = (value) => DateTime.isDateTime(value);
|
||||
|
||||
const ensureDateTime = (value, { zone = TIMEZONE } = {}) => {
|
||||
if (!value) return null;
|
||||
|
||||
if (isDateTime(value)) {
|
||||
return value.setZone(zone);
|
||||
}
|
||||
|
||||
if (value instanceof Date) {
|
||||
return DateTime.fromJSDate(value, { zone });
|
||||
}
|
||||
|
||||
if (typeof value === 'number') {
|
||||
return DateTime.fromMillis(value, { zone });
|
||||
}
|
||||
|
||||
if (typeof value === 'string') {
|
||||
let dt = DateTime.fromISO(value, { zone, setZone: true });
|
||||
if (!dt.isValid) {
|
||||
dt = DateTime.fromSQL(value, { zone });
|
||||
}
|
||||
return dt.isValid ? dt : null;
|
||||
}
|
||||
|
||||
return null;
|
||||
};
|
||||
|
||||
const getNow = () => DateTime.now().setZone(TIMEZONE);
|
||||
|
||||
const getDayStart = (input = getNow()) => {
|
||||
const dt = ensureDateTime(input);
|
||||
if (!dt || !dt.isValid) {
|
||||
const fallback = getNow();
|
||||
return fallback.set({
|
||||
hour: BUSINESS_DAY_START_HOUR,
|
||||
minute: 0,
|
||||
second: 0,
|
||||
millisecond: 0
|
||||
});
|
||||
}
|
||||
|
||||
const sameDayStart = dt.set({
|
||||
hour: BUSINESS_DAY_START_HOUR,
|
||||
minute: 0,
|
||||
second: 0,
|
||||
millisecond: 0
|
||||
});
|
||||
|
||||
return dt.hour < BUSINESS_DAY_START_HOUR
|
||||
? sameDayStart.minus({ days: 1 })
|
||||
: sameDayStart;
|
||||
};
|
||||
|
||||
const getDayEnd = (input = getNow()) => {
|
||||
return getDayStart(input).plus({ days: 1 }).minus({ milliseconds: 1 });
|
||||
};
|
||||
|
||||
const getWeekStart = (input = getNow()) => {
|
||||
const dt = ensureDateTime(input);
|
||||
if (!dt || !dt.isValid) {
|
||||
return getDayStart();
|
||||
}
|
||||
|
||||
const startOfWeek = dt.set({ weekday: WEEK_START_DAY }).startOf('day');
|
||||
const normalized = startOfWeek > dt ? startOfWeek.minus({ weeks: 1 }) : startOfWeek;
|
||||
return normalized.set({
|
||||
hour: BUSINESS_DAY_START_HOUR,
|
||||
minute: 0,
|
||||
second: 0,
|
||||
millisecond: 0
|
||||
});
|
||||
};
|
||||
|
||||
const getRangeForTimeRange = (timeRange = 'today', now = getNow()) => {
|
||||
const current = ensureDateTime(now);
|
||||
if (!current || !current.isValid) {
|
||||
throw new Error('Invalid reference time for range calculation');
|
||||
}
|
||||
|
||||
switch (timeRange) {
|
||||
case 'today': {
|
||||
return {
|
||||
start: getDayStart(current),
|
||||
end: getDayEnd(current)
|
||||
};
|
||||
}
|
||||
case 'yesterday': {
|
||||
const target = current.minus({ days: 1 });
|
||||
return {
|
||||
start: getDayStart(target),
|
||||
end: getDayEnd(target)
|
||||
};
|
||||
}
|
||||
case 'twoDaysAgo': {
|
||||
const target = current.minus({ days: 2 });
|
||||
return {
|
||||
start: getDayStart(target),
|
||||
end: getDayEnd(target)
|
||||
};
|
||||
}
|
||||
case 'thisWeek': {
|
||||
return {
|
||||
start: getWeekStart(current),
|
||||
end: getDayEnd(current)
|
||||
};
|
||||
}
|
||||
case 'lastWeek': {
|
||||
const lastWeek = current.minus({ weeks: 1 });
|
||||
const weekStart = getWeekStart(lastWeek);
|
||||
const weekEnd = weekStart.plus({ days: 6 });
|
||||
return {
|
||||
start: weekStart,
|
||||
end: getDayEnd(weekEnd)
|
||||
};
|
||||
}
|
||||
case 'thisMonth': {
|
||||
const dayStart = getDayStart(current);
|
||||
const monthStart = dayStart.startOf('month').set({ hour: BUSINESS_DAY_START_HOUR });
|
||||
return {
|
||||
start: monthStart,
|
||||
end: getDayEnd(current)
|
||||
};
|
||||
}
|
||||
case 'lastMonth': {
|
||||
const lastMonth = current.minus({ months: 1 });
|
||||
const monthStart = lastMonth
|
||||
.startOf('month')
|
||||
.set({ hour: BUSINESS_DAY_START_HOUR, minute: 0, second: 0, millisecond: 0 });
|
||||
const monthEnd = monthStart.plus({ months: 1 }).minus({ days: 1 });
|
||||
return {
|
||||
start: monthStart,
|
||||
end: getDayEnd(monthEnd)
|
||||
};
|
||||
}
|
||||
case 'last7days': {
|
||||
const dayStart = getDayStart(current);
|
||||
return {
|
||||
start: dayStart.minus({ days: 6 }),
|
||||
end: getDayEnd(current)
|
||||
};
|
||||
}
|
||||
case 'last30days': {
|
||||
const dayStart = getDayStart(current);
|
||||
return {
|
||||
start: dayStart.minus({ days: 29 }),
|
||||
end: getDayEnd(current)
|
||||
};
|
||||
}
|
||||
case 'last90days': {
|
||||
const dayStart = getDayStart(current);
|
||||
return {
|
||||
start: dayStart.minus({ days: 89 }),
|
||||
end: getDayEnd(current)
|
||||
};
|
||||
}
|
||||
case 'previous7days': {
|
||||
const currentPeriodStart = getDayStart(current).minus({ days: 6 });
|
||||
const previousEndDay = currentPeriodStart.minus({ days: 1 });
|
||||
const previousStartDay = previousEndDay.minus({ days: 6 });
|
||||
return {
|
||||
start: getDayStart(previousStartDay),
|
||||
end: getDayEnd(previousEndDay)
|
||||
};
|
||||
}
|
||||
case 'previous30days': {
|
||||
const currentPeriodStart = getDayStart(current).minus({ days: 29 });
|
||||
const previousEndDay = currentPeriodStart.minus({ days: 1 });
|
||||
const previousStartDay = previousEndDay.minus({ days: 29 });
|
||||
return {
|
||||
start: getDayStart(previousStartDay),
|
||||
end: getDayEnd(previousEndDay)
|
||||
};
|
||||
}
|
||||
case 'previous90days': {
|
||||
const currentPeriodStart = getDayStart(current).minus({ days: 89 });
|
||||
const previousEndDay = currentPeriodStart.minus({ days: 1 });
|
||||
const previousStartDay = previousEndDay.minus({ days: 89 });
|
||||
return {
|
||||
start: getDayStart(previousStartDay),
|
||||
end: getDayEnd(previousEndDay)
|
||||
};
|
||||
}
|
||||
default:
|
||||
throw new Error(`Unknown time range: ${timeRange}`);
|
||||
}
|
||||
};
|
||||
|
||||
const toDatabaseSqlString = (dt) => {
|
||||
const normalized = ensureDateTime(dt);
|
||||
if (!normalized || !normalized.isValid) {
|
||||
throw new Error('Invalid datetime provided for SQL conversion');
|
||||
}
|
||||
const dbTime = normalized.setZone(DB_TIMEZONE, { keepLocalTime: true });
|
||||
return dbTime.toFormat(DB_DATETIME_FORMAT);
|
||||
};
|
||||
|
||||
const formatBusinessDate = (input) => {
|
||||
const dt = ensureDateTime(input);
|
||||
if (!dt || !dt.isValid) return '';
|
||||
return dt.setZone(TIMEZONE).toFormat('LLL d, yyyy');
|
||||
};
|
||||
|
||||
const getTimeRangeLabel = (timeRange) => {
|
||||
const labels = {
|
||||
today: 'Today',
|
||||
yesterday: 'Yesterday',
|
||||
twoDaysAgo: 'Two Days Ago',
|
||||
thisWeek: 'This Week',
|
||||
lastWeek: 'Last Week',
|
||||
thisMonth: 'This Month',
|
||||
lastMonth: 'Last Month',
|
||||
last7days: 'Last 7 Days',
|
||||
last30days: 'Last 30 Days',
|
||||
last90days: 'Last 90 Days',
|
||||
previous7days: 'Previous 7 Days',
|
||||
previous30days: 'Previous 30 Days',
|
||||
previous90days: 'Previous 90 Days'
|
||||
};
|
||||
|
||||
return labels[timeRange] || timeRange;
|
||||
};
|
||||
|
||||
const getTimeRangeConditions = (timeRange, startDate, endDate) => {
|
||||
if (timeRange === 'custom' && startDate && endDate) {
|
||||
const start = ensureDateTime(startDate);
|
||||
const end = ensureDateTime(endDate);
|
||||
|
||||
if (!start || !start.isValid || !end || !end.isValid) {
|
||||
throw new Error('Invalid custom date range provided');
|
||||
}
|
||||
|
||||
return {
|
||||
whereClause: 'date_placed >= ? AND date_placed <= ?',
|
||||
params: [toDatabaseSqlString(start), toDatabaseSqlString(end)],
|
||||
dateRange: {
|
||||
start: start.toUTC().toISO(),
|
||||
end: end.toUTC().toISO(),
|
||||
label: `${formatBusinessDate(start)} - ${formatBusinessDate(end)}`
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
const normalizedRange = timeRange || 'today';
|
||||
const range = getRangeForTimeRange(normalizedRange);
|
||||
|
||||
return {
|
||||
whereClause: 'date_placed >= ? AND date_placed <= ?',
|
||||
params: [toDatabaseSqlString(range.start), toDatabaseSqlString(range.end)],
|
||||
dateRange: {
|
||||
start: range.start.toUTC().toISO(),
|
||||
end: range.end.toUTC().toISO(),
|
||||
label: getTimeRangeLabel(normalizedRange)
|
||||
}
|
||||
};
|
||||
};
|
||||
|
||||
const getBusinessDayBounds = (timeRange) => {
|
||||
const range = getRangeForTimeRange(timeRange);
|
||||
return {
|
||||
start: range.start.toJSDate(),
|
||||
end: range.end.toJSDate()
|
||||
};
|
||||
};
|
||||
|
||||
const parseBusinessDate = (mysqlDatetime) => {
|
||||
if (!mysqlDatetime || mysqlDatetime === '0000-00-00 00:00:00') {
|
||||
return null;
|
||||
}
|
||||
|
||||
const dt = DateTime.fromSQL(mysqlDatetime, { zone: DB_TIMEZONE });
|
||||
if (!dt.isValid) {
|
||||
console.error('[timeUtils] Failed to parse MySQL datetime:', mysqlDatetime, dt.invalidExplanation);
|
||||
return null;
|
||||
}
|
||||
|
||||
return dt.toUTC().toJSDate();
|
||||
};
|
||||
|
||||
const formatMySQLDate = (input) => {
|
||||
if (!input) return null;
|
||||
|
||||
const dt = ensureDateTime(input, { zone: 'utc' });
|
||||
if (!dt || !dt.isValid) return null;
|
||||
|
||||
return dt.setZone(DB_TIMEZONE).toFormat(DB_DATETIME_FORMAT);
|
||||
};
|
||||
|
||||
module.exports = {
|
||||
getBusinessDayBounds,
|
||||
getTimeRangeConditions,
|
||||
formatBusinessDate,
|
||||
getTimeRangeLabel,
|
||||
parseBusinessDate,
|
||||
formatMySQLDate,
|
||||
// Expose helpers for tests or advanced consumers
|
||||
_internal: {
|
||||
getDayStart,
|
||||
getDayEnd,
|
||||
getWeekStart,
|
||||
getRangeForTimeRange,
|
||||
BUSINESS_DAY_START_HOUR
|
||||
}
|
||||
};
|
||||
@@ -1,21 +0,0 @@
|
||||
# Server Configuration
|
||||
NODE_ENV=development
|
||||
AIRCALL_PORT=3002
|
||||
LOG_LEVEL=info
|
||||
|
||||
# Aircall API Credentials
|
||||
AIRCALL_API_ID=your_aircall_api_id
|
||||
AIRCALL_API_TOKEN=your_aircall_api_token
|
||||
|
||||
# Database Configuration
|
||||
MONGODB_URI=mongodb://localhost:27017/dashboard
|
||||
MONGODB_DB=dashboard
|
||||
REDIS_URL=redis://localhost:6379
|
||||
|
||||
# Service Configuration
|
||||
TIMEZONE=America/New_York
|
||||
DAY_STARTS_AT=1 # Business day starts at 1 AM ET
|
||||
|
||||
# Optional Settings
|
||||
REDIS_TTL=300 # Cache TTL in seconds (5 minutes)
|
||||
COLLECTION_NAME=aircall_daily_data
|
||||
@@ -1,55 +0,0 @@
|
||||
# Aircall Server
|
||||
|
||||
A standalone server for handling Aircall metrics and data processing.
|
||||
|
||||
## Setup
|
||||
|
||||
1. Install dependencies:
|
||||
```bash
|
||||
npm install
|
||||
```
|
||||
|
||||
2. Set up environment variables:
|
||||
```bash
|
||||
cp .env.example .env
|
||||
```
|
||||
Then edit `.env` with your configuration.
|
||||
|
||||
Required environment variables:
|
||||
- `AIRCALL_API_ID`: Your Aircall API ID
|
||||
- `AIRCALL_API_TOKEN`: Your Aircall API Token
|
||||
- `MONGODB_URI`: MongoDB connection string
|
||||
- `REDIS_URL`: Redis connection string
|
||||
- `AIRCALL_PORT`: Server port (default: 3002)
|
||||
|
||||
## Running the Server
|
||||
|
||||
### Development
|
||||
```bash
|
||||
npm run dev
|
||||
```
|
||||
|
||||
### Production
|
||||
Using PM2:
|
||||
```bash
|
||||
pm2 start ecosystem.config.js --env production
|
||||
```
|
||||
|
||||
## API Endpoints
|
||||
|
||||
### GET /api/aircall/metrics/:timeRange
|
||||
Get Aircall metrics for a specific time range.
|
||||
|
||||
Parameters:
|
||||
- `timeRange`: One of ['today', 'yesterday', 'last7days', 'last30days', 'last90days']
|
||||
|
||||
### GET /api/aircall/health
|
||||
Get server health status.
|
||||
|
||||
## Architecture
|
||||
|
||||
The server uses:
|
||||
- Express.js for the API
|
||||
- MongoDB for data storage
|
||||
- Redis for caching
|
||||
- Winston for logging
|
||||
1914
inventory-server/dashboard/aircall-server/package-lock.json
generated
1914
inventory-server/dashboard/aircall-server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,23 +0,0 @@
|
||||
{
|
||||
"name": "aircall-server",
|
||||
"version": "1.0.0",
|
||||
"description": "Aircall metrics server",
|
||||
"type": "module",
|
||||
"main": "server.js",
|
||||
"scripts": {
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"axios": "^1.6.2",
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.3.1",
|
||||
"express": "^4.18.2",
|
||||
"mongodb": "^6.3.0",
|
||||
"redis": "^4.6.11",
|
||||
"winston": "^3.11.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^3.0.2"
|
||||
}
|
||||
}
|
||||
@@ -1,83 +0,0 @@
|
||||
import express from 'express';
|
||||
import cors from 'cors';
|
||||
import dotenv from 'dotenv';
|
||||
import path from 'path';
|
||||
import { fileURLToPath } from 'url';
|
||||
import { createRoutes } from './src/routes/index.js';
|
||||
import { aircallConfig } from './src/config/aircall.config.js';
|
||||
import { connectMongoDB } from './src/utils/db.js';
|
||||
import { createRedisClient } from './src/utils/redis.js';
|
||||
import { createLogger } from './src/utils/logger.js';
|
||||
|
||||
// Get directory name in ES modules
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
// Load environment variables from the correct path
|
||||
dotenv.config({ path: path.resolve(__dirname, '.env') });
|
||||
|
||||
// Validate required environment variables
|
||||
const requiredEnvVars = ['AIRCALL_API_ID', 'AIRCALL_API_TOKEN', 'MONGODB_URI', 'REDIS_URL'];
|
||||
const missingEnvVars = requiredEnvVars.filter(envVar => !process.env[envVar]);
|
||||
|
||||
if (missingEnvVars.length > 0) {
|
||||
console.error('Missing required environment variables:', missingEnvVars);
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const app = express();
|
||||
const port = process.env.AIRCALL_PORT || 3002;
|
||||
const logger = createLogger('aircall-server');
|
||||
|
||||
// Middleware
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
|
||||
// Connect to databases
|
||||
let mongodb;
|
||||
let redis;
|
||||
|
||||
async function initializeServer() {
|
||||
try {
|
||||
// Connect to MongoDB
|
||||
mongodb = await connectMongoDB();
|
||||
logger.info('Connected to MongoDB');
|
||||
|
||||
// Connect to Redis
|
||||
redis = await createRedisClient();
|
||||
logger.info('Connected to Redis');
|
||||
|
||||
// Initialize configs with database connections
|
||||
const configs = {
|
||||
aircall: {
|
||||
...aircallConfig,
|
||||
mongodb,
|
||||
redis,
|
||||
logger
|
||||
}
|
||||
};
|
||||
|
||||
// Initialize routes
|
||||
const routes = createRoutes(configs, logger);
|
||||
app.use('/api', routes);
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
logger.error('Server error:', err);
|
||||
res.status(500).json({
|
||||
error: 'Internal server error',
|
||||
message: err.message
|
||||
});
|
||||
});
|
||||
|
||||
// Start server
|
||||
app.listen(port, () => {
|
||||
logger.info(`Aircall server listening on port ${port}`);
|
||||
});
|
||||
} catch (error) {
|
||||
logger.error('Failed to initialize server:', error);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
initializeServer();
|
||||
@@ -1,15 +0,0 @@
|
||||
export const aircallConfig = {
|
||||
serviceName: 'aircall',
|
||||
apiId: process.env.AIRCALL_API_ID,
|
||||
apiToken: process.env.AIRCALL_API_TOKEN,
|
||||
timezone: 'America/New_York',
|
||||
dayStartsAt: 1,
|
||||
storeHistory: true,
|
||||
collection: 'aircall_daily_data',
|
||||
redisTTL: 300, // 5 minutes cache for current day
|
||||
endpoints: {
|
||||
metrics: {
|
||||
ttl: 300
|
||||
}
|
||||
}
|
||||
};
|
||||
@@ -1,57 +0,0 @@
|
||||
import express from 'express';
|
||||
import { AircallService } from '../services/aircall/AircallService.js';
|
||||
|
||||
export const createAircallRoutes = (config, logger) => {
|
||||
const router = express.Router();
|
||||
const aircallService = new AircallService(config);
|
||||
|
||||
router.get('/metrics/:timeRange?', async (req, res) => {
|
||||
try {
|
||||
const { timeRange = 'today' } = req.params;
|
||||
const allowedRanges = ['today', 'yesterday', 'last7days', 'last30days', 'last90days'];
|
||||
|
||||
if (!allowedRanges.includes(timeRange)) {
|
||||
return res.status(400).json({
|
||||
error: 'Invalid time range',
|
||||
allowedRanges
|
||||
});
|
||||
}
|
||||
|
||||
const metrics = await aircallService.getMetrics(timeRange);
|
||||
|
||||
res.json({
|
||||
...metrics,
|
||||
_meta: {
|
||||
timeRange,
|
||||
generatedAt: new Date().toISOString(),
|
||||
dataPoints: metrics.daily_data?.length || 0
|
||||
}
|
||||
});
|
||||
} catch (error) {
|
||||
logger.error('Error fetching Aircall metrics:', error);
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch Aircall metrics',
|
||||
message: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Health check endpoint
|
||||
router.get('/health', (req, res) => {
|
||||
const mongoConnected = !!aircallService.mongodb?.db;
|
||||
const redisConnected = !!aircallService.redis?.isOpen;
|
||||
|
||||
const health = {
|
||||
status: mongoConnected && redisConnected ? 'ok' : 'degraded',
|
||||
service: 'aircall',
|
||||
timestamp: new Date().toISOString(),
|
||||
connections: {
|
||||
mongodb: mongoConnected,
|
||||
redis: redisConnected
|
||||
}
|
||||
};
|
||||
res.json(health);
|
||||
});
|
||||
|
||||
return router;
|
||||
};
|
||||
@@ -1,32 +0,0 @@
|
||||
import express from 'express';
|
||||
import { createAircallRoutes } from './aircall.routes.js';
|
||||
|
||||
export const createRoutes = (configs, logger) => {
|
||||
const router = express.Router();
|
||||
|
||||
// Mount Aircall routes
|
||||
router.use('/aircall', createAircallRoutes(configs.aircall, logger));
|
||||
|
||||
// Health check endpoint
|
||||
router.get('/health', (req, res) => {
|
||||
const services = req.services || {};
|
||||
res.status(200).json({
|
||||
status: 'ok',
|
||||
timestamp: new Date(),
|
||||
services: {
|
||||
redis: services.redis?.isReady || false,
|
||||
mongodb: services.mongo?.readyState === 1 || false
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
// Catch-all 404 handler
|
||||
router.use('*', (req, res) => {
|
||||
res.status(404).json({
|
||||
error: 'Not Found',
|
||||
message: `Route ${req.originalUrl} not found`
|
||||
});
|
||||
});
|
||||
|
||||
return router;
|
||||
};
|
||||
@@ -1,298 +0,0 @@
|
||||
import { DataManager } from "../base/DataManager.js";
|
||||
|
||||
export class AircallDataManager extends DataManager {
|
||||
constructor(mongodb, redis, timeManager) {
|
||||
const options = {
|
||||
collection: "aircall_daily_data",
|
||||
redisTTL: 300 // 5 minutes cache
|
||||
};
|
||||
super(mongodb, redis, timeManager, options);
|
||||
this.options = options;
|
||||
}
|
||||
|
||||
ensureDate(d) {
|
||||
if (d instanceof Date) return d;
|
||||
if (typeof d === 'string') return new Date(d);
|
||||
if (typeof d === 'number') return new Date(d);
|
||||
console.error('Invalid date value:', d);
|
||||
return new Date(); // fallback to current date
|
||||
}
|
||||
|
||||
async storeHistoricalPeriod(start, end, calls) {
|
||||
if (!this.mongodb) return;
|
||||
|
||||
try {
|
||||
if (!Array.isArray(calls)) {
|
||||
console.error("Invalid calls data:", calls);
|
||||
return;
|
||||
}
|
||||
|
||||
// Group calls by true day boundaries using TimeManager
|
||||
const dailyCallsMap = new Map();
|
||||
|
||||
calls.forEach((call) => {
|
||||
try {
|
||||
const timestamp = call.started_at * 1000; // Convert to milliseconds
|
||||
const callDate = this.ensureDate(timestamp);
|
||||
const dayBounds = this.timeManager.getDayBounds(callDate);
|
||||
const dayKey = dayBounds.start.toISOString();
|
||||
|
||||
if (!dailyCallsMap.has(dayKey)) {
|
||||
dailyCallsMap.set(dayKey, {
|
||||
date: dayBounds.start,
|
||||
calls: [],
|
||||
});
|
||||
}
|
||||
dailyCallsMap.get(dayKey).calls.push(call);
|
||||
} catch (err) {
|
||||
console.error('Error processing call:', err, call);
|
||||
}
|
||||
});
|
||||
|
||||
// Iterate over each day in the period using day boundaries
|
||||
const dates = [];
|
||||
let currentDate = this.ensureDate(start);
|
||||
const endDate = this.ensureDate(end);
|
||||
|
||||
while (currentDate < endDate) {
|
||||
const dayBounds = this.timeManager.getDayBounds(currentDate);
|
||||
dates.push(dayBounds.start);
|
||||
currentDate.setUTCDate(currentDate.getUTCDate() + 1);
|
||||
}
|
||||
|
||||
for (const date of dates) {
|
||||
try {
|
||||
const dateKey = date.toISOString();
|
||||
const dayData = dailyCallsMap.get(dateKey);
|
||||
const dayCalls = dayData ? dayData.calls : [];
|
||||
|
||||
// Process calls for this day using the same processing logic
|
||||
const metrics = this.processCallData(dayCalls);
|
||||
|
||||
// Insert a daily_data record for this day
|
||||
metrics.daily_data = [
|
||||
{
|
||||
date: date.toISOString().split("T")[0],
|
||||
inbound: metrics.by_direction.inbound,
|
||||
outbound: metrics.by_direction.outbound,
|
||||
},
|
||||
];
|
||||
|
||||
// Store this day's processed data as historical
|
||||
await this.storeHistoricalDay(date, metrics);
|
||||
} catch (err) {
|
||||
console.error('Error processing date:', err, date);
|
||||
}
|
||||
}
|
||||
|
||||
} catch (error) {
|
||||
console.error("Error storing historical period:", error, error.stack);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
processCallData(calls) {
|
||||
// If calls is already processed (has total, by_direction, etc.), return it
|
||||
if (calls && calls.total !== undefined) {
|
||||
console.log('Data already processed:', {
|
||||
total: calls.total,
|
||||
by_direction: calls.by_direction
|
||||
});
|
||||
// Return a clean copy of the processed data
|
||||
return {
|
||||
total: calls.total,
|
||||
by_direction: calls.by_direction,
|
||||
by_status: calls.by_status,
|
||||
by_missed_reason: calls.by_missed_reason,
|
||||
by_hour: calls.by_hour,
|
||||
by_users: calls.by_users,
|
||||
daily_data: calls.daily_data,
|
||||
duration_distribution: calls.duration_distribution,
|
||||
average_duration: calls.average_duration
|
||||
};
|
||||
}
|
||||
|
||||
console.log('Processing raw calls:', {
|
||||
count: calls.length,
|
||||
sample: calls.length > 0 ? {
|
||||
id: calls[0].id,
|
||||
direction: calls[0].direction,
|
||||
status: calls[0].status
|
||||
} : null
|
||||
});
|
||||
|
||||
// Process raw calls
|
||||
const metrics = {
|
||||
total: calls.length,
|
||||
by_direction: { inbound: 0, outbound: 0 },
|
||||
by_status: { answered: 0, missed: 0 },
|
||||
by_missed_reason: {},
|
||||
by_hour: Array(24).fill(0),
|
||||
by_users: {},
|
||||
daily_data: [],
|
||||
duration_distribution: [
|
||||
{ range: "0-1m", count: 0 },
|
||||
{ range: "1-5m", count: 0 },
|
||||
{ range: "5-15m", count: 0 },
|
||||
{ range: "15-30m", count: 0 },
|
||||
{ range: "30m+", count: 0 },
|
||||
],
|
||||
average_duration: 0,
|
||||
total_duration: 0,
|
||||
};
|
||||
|
||||
// Group calls by date for daily data
|
||||
const dailyCallsMap = new Map();
|
||||
|
||||
calls.forEach((call) => {
|
||||
try {
|
||||
// Direction metrics
|
||||
metrics.by_direction[call.direction]++;
|
||||
|
||||
// Get call date and hour using TimeManager
|
||||
const timestamp = call.started_at * 1000; // Convert to milliseconds
|
||||
const callDate = this.ensureDate(timestamp);
|
||||
const dayBounds = this.timeManager.getDayBounds(callDate);
|
||||
const dayKey = dayBounds.start.toISOString().split("T")[0];
|
||||
const hour = callDate.getHours();
|
||||
metrics.by_hour[hour]++;
|
||||
|
||||
// Status and duration metrics
|
||||
if (call.answered_at) {
|
||||
metrics.by_status.answered++;
|
||||
const duration = call.ended_at - call.answered_at;
|
||||
metrics.total_duration += duration;
|
||||
|
||||
// Duration distribution
|
||||
if (duration <= 60) {
|
||||
metrics.duration_distribution[0].count++;
|
||||
} else if (duration <= 300) {
|
||||
metrics.duration_distribution[1].count++;
|
||||
} else if (duration <= 900) {
|
||||
metrics.duration_distribution[2].count++;
|
||||
} else if (duration <= 1800) {
|
||||
metrics.duration_distribution[3].count++;
|
||||
} else {
|
||||
metrics.duration_distribution[4].count++;
|
||||
}
|
||||
|
||||
// Track user performance
|
||||
if (call.user) {
|
||||
const userId = call.user.id;
|
||||
if (!metrics.by_users[userId]) {
|
||||
metrics.by_users[userId] = {
|
||||
id: userId,
|
||||
name: call.user.name,
|
||||
total: 0,
|
||||
answered: 0,
|
||||
missed: 0,
|
||||
total_duration: 0,
|
||||
average_duration: 0,
|
||||
};
|
||||
}
|
||||
metrics.by_users[userId].total++;
|
||||
metrics.by_users[userId].answered++;
|
||||
metrics.by_users[userId].total_duration += duration;
|
||||
}
|
||||
} else {
|
||||
metrics.by_status.missed++;
|
||||
if (call.missed_call_reason) {
|
||||
metrics.by_missed_reason[call.missed_call_reason] =
|
||||
(metrics.by_missed_reason[call.missed_call_reason] || 0) + 1;
|
||||
}
|
||||
|
||||
// Track missed calls by user
|
||||
if (call.user) {
|
||||
const userId = call.user.id;
|
||||
if (!metrics.by_users[userId]) {
|
||||
metrics.by_users[userId] = {
|
||||
id: userId,
|
||||
name: call.user.name,
|
||||
total: 0,
|
||||
answered: 0,
|
||||
missed: 0,
|
||||
total_duration: 0,
|
||||
average_duration: 0,
|
||||
};
|
||||
}
|
||||
metrics.by_users[userId].total++;
|
||||
metrics.by_users[userId].missed++;
|
||||
}
|
||||
}
|
||||
|
||||
// Group by date for daily data
|
||||
if (!dailyCallsMap.has(dayKey)) {
|
||||
dailyCallsMap.set(dayKey, { date: dayKey, inbound: 0, outbound: 0 });
|
||||
}
|
||||
dailyCallsMap.get(dayKey)[call.direction]++;
|
||||
} catch (err) {
|
||||
console.error('Error processing call:', err, call);
|
||||
}
|
||||
});
|
||||
|
||||
// Calculate average durations for users
|
||||
Object.values(metrics.by_users).forEach((user) => {
|
||||
if (user.answered > 0) {
|
||||
user.average_duration = Math.round(user.total_duration / user.answered);
|
||||
}
|
||||
});
|
||||
|
||||
// Calculate global average duration
|
||||
if (metrics.by_status.answered > 0) {
|
||||
metrics.average_duration = Math.round(
|
||||
metrics.total_duration / metrics.by_status.answered
|
||||
);
|
||||
}
|
||||
|
||||
// Convert daily data map to sorted array
|
||||
metrics.daily_data = Array.from(dailyCallsMap.values()).sort((a, b) =>
|
||||
a.date.localeCompare(b.date)
|
||||
);
|
||||
|
||||
delete metrics.total_duration;
|
||||
|
||||
console.log('Processed metrics:', {
|
||||
total: metrics.total,
|
||||
by_direction: metrics.by_direction,
|
||||
by_status: metrics.by_status,
|
||||
daily_data_count: metrics.daily_data.length
|
||||
});
|
||||
|
||||
return metrics;
|
||||
}
|
||||
|
||||
async storeHistoricalDay(date, data) {
|
||||
if (!this.mongodb) return;
|
||||
|
||||
try {
|
||||
const collection = this.mongodb.collection(this.options.collection);
|
||||
const dayBounds = this.timeManager.getDayBounds(this.ensureDate(date));
|
||||
|
||||
// Ensure consistent data structure with metrics nested in data field
|
||||
const document = {
|
||||
date: dayBounds.start,
|
||||
data: {
|
||||
total: data.total,
|
||||
by_direction: data.by_direction,
|
||||
by_status: data.by_status,
|
||||
by_missed_reason: data.by_missed_reason,
|
||||
by_hour: data.by_hour,
|
||||
by_users: data.by_users,
|
||||
daily_data: data.daily_data,
|
||||
duration_distribution: data.duration_distribution,
|
||||
average_duration: data.average_duration
|
||||
},
|
||||
updatedAt: new Date()
|
||||
};
|
||||
|
||||
await collection.updateOne(
|
||||
{ date: dayBounds.start },
|
||||
{ $set: document },
|
||||
{ upsert: true }
|
||||
);
|
||||
} catch (error) {
|
||||
console.error("Error storing historical day:", error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,138 +0,0 @@
|
||||
import axios from "axios";
|
||||
import { Buffer } from "buffer";
|
||||
import { BaseService } from "../base/BaseService.js";
|
||||
import { AircallDataManager } from "./AircallDataManager.js";
|
||||
|
||||
export class AircallService extends BaseService {
|
||||
constructor(config) {
|
||||
super(config);
|
||||
this.baseUrl = "https://api.aircall.io/v1";
|
||||
console.log('Initializing Aircall service with credentials:', {
|
||||
apiId: config.apiId ? 'present' : 'missing',
|
||||
apiToken: config.apiToken ? 'present' : 'missing'
|
||||
});
|
||||
this.auth = Buffer.from(`${config.apiId}:${config.apiToken}`).toString(
|
||||
"base64"
|
||||
);
|
||||
this.dataManager = new AircallDataManager(
|
||||
this.mongodb,
|
||||
this.redis,
|
||||
this.timeManager
|
||||
);
|
||||
|
||||
if (!config.apiId || !config.apiToken) {
|
||||
throw new Error("Aircall API credentials are required");
|
||||
}
|
||||
}
|
||||
|
||||
async getMetrics(timeRange) {
|
||||
const dateRange = await this.timeManager.getDateRange(timeRange);
|
||||
console.log('Fetching metrics for date range:', {
|
||||
start: dateRange.start.toISOString(),
|
||||
end: dateRange.end.toISOString()
|
||||
});
|
||||
|
||||
return this.dataManager.getData(dateRange, async (range) => {
|
||||
const calls = await this.fetchAllCalls(range.start, range.end);
|
||||
console.log('Fetched calls:', {
|
||||
count: calls.length,
|
||||
sample: calls.length > 0 ? calls[0] : null
|
||||
});
|
||||
return calls;
|
||||
});
|
||||
}
|
||||
|
||||
async fetchAllCalls(start, end) {
|
||||
try {
|
||||
let allCalls = [];
|
||||
let currentPage = 1;
|
||||
let hasMore = true;
|
||||
let totalPages = null;
|
||||
|
||||
while (hasMore) {
|
||||
const response = await this.makeRequest("/calls", {
|
||||
from: Math.floor(start.getTime() / 1000),
|
||||
to: Math.floor(end.getTime() / 1000),
|
||||
order: "asc",
|
||||
page: currentPage,
|
||||
per_page: 50,
|
||||
});
|
||||
|
||||
console.log('API Response:', {
|
||||
page: currentPage,
|
||||
totalPages: response.meta.total_pages,
|
||||
callsCount: response.calls?.length,
|
||||
params: {
|
||||
from: Math.floor(start.getTime() / 1000),
|
||||
to: Math.floor(end.getTime() / 1000)
|
||||
}
|
||||
});
|
||||
|
||||
if (!response.calls) {
|
||||
throw new Error("Invalid API response format");
|
||||
}
|
||||
|
||||
allCalls = [...allCalls, ...response.calls];
|
||||
hasMore = response.meta.next_page_link !== null;
|
||||
totalPages = response.meta.total_pages;
|
||||
currentPage++;
|
||||
|
||||
if (hasMore) {
|
||||
// Rate limiting pause
|
||||
await new Promise((resolve) => setTimeout(resolve, 1));
|
||||
}
|
||||
}
|
||||
|
||||
return allCalls;
|
||||
} catch (error) {
|
||||
console.error("Error fetching all calls:", error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async makeRequest(endpoint, params = {}) {
|
||||
try {
|
||||
console.log('Making API request:', {
|
||||
endpoint,
|
||||
params
|
||||
});
|
||||
const response = await axios.get(`${this.baseUrl}${endpoint}`, {
|
||||
headers: {
|
||||
Authorization: `Basic ${this.auth}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
params,
|
||||
});
|
||||
return response.data;
|
||||
} catch (error) {
|
||||
if (error.response?.status === 429) {
|
||||
console.log("Rate limit reached, waiting before retry...");
|
||||
await new Promise((resolve) => setTimeout(resolve, 5000));
|
||||
return this.makeRequest(endpoint, params);
|
||||
}
|
||||
|
||||
this.handleApiError(error, `Error making request to ${endpoint}`);
|
||||
}
|
||||
}
|
||||
|
||||
validateApiResponse(response, context = "") {
|
||||
if (!response || typeof response !== "object") {
|
||||
throw new Error(`${context}: Invalid API response format`);
|
||||
}
|
||||
|
||||
if (response.error) {
|
||||
throw new Error(`${context}: ${response.error}`);
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
getPaginationInfo(meta) {
|
||||
return {
|
||||
currentPage: meta.current_page,
|
||||
totalPages: meta.total_pages,
|
||||
hasNextPage: meta.next_page_link !== null,
|
||||
totalRecords: meta.total,
|
||||
};
|
||||
}
|
||||
}
|
||||
@@ -1,32 +0,0 @@
|
||||
import { createTimeManager } from '../../utils/timeUtils.js';
|
||||
|
||||
export class BaseService {
|
||||
constructor(config) {
|
||||
this.config = config;
|
||||
this.mongodb = config.mongodb;
|
||||
this.redis = config.redis;
|
||||
this.logger = config.logger;
|
||||
this.timeManager = createTimeManager(config.timezone, config.dayStartsAt);
|
||||
}
|
||||
|
||||
handleApiError(error, context = '') {
|
||||
this.logger.error(`API Error ${context}:`, {
|
||||
message: error.message,
|
||||
status: error.response?.status,
|
||||
data: error.response?.data,
|
||||
});
|
||||
|
||||
if (error.response) {
|
||||
const status = error.response.status;
|
||||
const message = error.response.data?.message || error.response.statusText;
|
||||
|
||||
if (status === 429) {
|
||||
throw new Error('API rate limit exceeded. Please try again later.');
|
||||
}
|
||||
|
||||
throw new Error(`API error (${status}): ${message}`);
|
||||
}
|
||||
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
@@ -1,320 +0,0 @@
|
||||
export class DataManager {
|
||||
constructor(mongodb, redis, timeManager, options) {
|
||||
this.mongodb = mongodb;
|
||||
this.redis = redis;
|
||||
this.timeManager = timeManager;
|
||||
this.options = options || {};
|
||||
}
|
||||
|
||||
ensureDate(d) {
|
||||
if (d instanceof Date) return d;
|
||||
if (typeof d === 'string') return new Date(d);
|
||||
if (typeof d === 'number') return new Date(d);
|
||||
if (d && d.date) return new Date(d.date); // Handle MongoDB records
|
||||
console.error('Invalid date value:', d);
|
||||
return new Date(); // fallback to current date
|
||||
}
|
||||
|
||||
async getData(dateRange, fetchFn) {
|
||||
try {
|
||||
// Get historical data from MongoDB
|
||||
const historicalData = await this.getHistoricalDays(dateRange.start, dateRange.end);
|
||||
|
||||
// Find any missing date ranges
|
||||
const missingRanges = this.findMissingDateRanges(dateRange.start, dateRange.end, historicalData);
|
||||
|
||||
// Fetch missing data
|
||||
for (const range of missingRanges) {
|
||||
const data = await fetchFn(range);
|
||||
await this.storeHistoricalPeriod(range.start, range.end, data);
|
||||
}
|
||||
|
||||
// Get updated historical data
|
||||
const updatedData = await this.getHistoricalDays(dateRange.start, dateRange.end);
|
||||
|
||||
// Handle both nested and flat data structures
|
||||
if (updatedData && updatedData.length > 0) {
|
||||
// Process each record and combine them
|
||||
const processedData = updatedData.map(record => {
|
||||
if (record.data) {
|
||||
return record.data;
|
||||
}
|
||||
if (record.total !== undefined) {
|
||||
return {
|
||||
total: record.total,
|
||||
by_direction: record.by_direction,
|
||||
by_status: record.by_status,
|
||||
by_missed_reason: record.by_missed_reason,
|
||||
by_hour: record.by_hour,
|
||||
by_users: record.by_users,
|
||||
daily_data: record.daily_data,
|
||||
duration_distribution: record.duration_distribution,
|
||||
average_duration: record.average_duration
|
||||
};
|
||||
}
|
||||
return null;
|
||||
}).filter(Boolean);
|
||||
|
||||
// Combine the data
|
||||
if (processedData.length > 0) {
|
||||
return this.combineMetrics(processedData);
|
||||
}
|
||||
}
|
||||
|
||||
// Otherwise process as raw call data
|
||||
return this.processCallData(updatedData);
|
||||
} catch (error) {
|
||||
console.error('Error in getData:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
findMissingDateRanges(start, end, existingDates) {
|
||||
const missingRanges = [];
|
||||
const existingDatesSet = new Set(
|
||||
existingDates.map((d) => {
|
||||
// Handle both nested and flat data structures
|
||||
const date = d.date ? d.date : d;
|
||||
return this.ensureDate(date).toISOString().split("T")[0];
|
||||
})
|
||||
);
|
||||
|
||||
let current = new Date(start);
|
||||
const endDate = new Date(end);
|
||||
|
||||
while (current < endDate) {
|
||||
const dayBounds = this.timeManager.getDayBounds(current);
|
||||
const dayKey = dayBounds.start.toISOString().split("T")[0];
|
||||
|
||||
if (!existingDatesSet.has(dayKey)) {
|
||||
// Found a missing day
|
||||
const missingStart = new Date(dayBounds.start);
|
||||
const missingEnd = new Date(dayBounds.end);
|
||||
|
||||
missingRanges.push({
|
||||
start: missingStart,
|
||||
end: missingEnd,
|
||||
});
|
||||
}
|
||||
|
||||
// Move to the next day using timeManager to ensure proper business day boundaries
|
||||
current = new Date(dayBounds.end.getTime() + 1);
|
||||
}
|
||||
|
||||
return missingRanges;
|
||||
}
|
||||
|
||||
async getCurrentDay(fetchFn) {
|
||||
const now = new Date();
|
||||
const todayBounds = this.timeManager.getDayBounds(now);
|
||||
const todayKey = this.timeManager.formatDate(todayBounds.start);
|
||||
const cacheKey = `${this.options.collection}:current_day:${todayKey}`;
|
||||
|
||||
try {
|
||||
// Check cache first
|
||||
if (this.redis?.isOpen) {
|
||||
const cached = await this.redis.get(cacheKey);
|
||||
if (cached) {
|
||||
const parsedCache = JSON.parse(cached);
|
||||
if (parsedCache.total !== undefined) {
|
||||
// Use timeManager to check if the cached data is for today
|
||||
const cachedDate = new Date(parsedCache.daily_data[0].date);
|
||||
const isToday = this.timeManager.isToday(cachedDate);
|
||||
|
||||
if (isToday) {
|
||||
return parsedCache;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Get safe end time that's never in the future
|
||||
const safeEnd = this.timeManager.getCurrentBusinessDayEnd();
|
||||
|
||||
// Fetch and process current day data with safe end time
|
||||
const data = await fetchFn({
|
||||
start: todayBounds.start,
|
||||
end: safeEnd
|
||||
});
|
||||
|
||||
if (!data) {
|
||||
return null;
|
||||
}
|
||||
|
||||
// Cache the data with a shorter TTL for today's data
|
||||
if (this.redis?.isOpen) {
|
||||
const ttl = Math.min(
|
||||
this.options.redisTTL,
|
||||
60 * 5 // 5 minutes max for today's data
|
||||
);
|
||||
await this.redis.set(cacheKey, JSON.stringify(data), {
|
||||
EX: ttl,
|
||||
});
|
||||
}
|
||||
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error('Error in getCurrentDay:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
getDayCount(start, end) {
|
||||
// Calculate full days between dates using timeManager
|
||||
const startDay = this.timeManager.getDayBounds(start);
|
||||
const endDay = this.timeManager.getDayBounds(end);
|
||||
return Math.ceil((endDay.end - startDay.start) / (24 * 60 * 60 * 1000));
|
||||
}
|
||||
|
||||
async fetchMissingDays(start, end, existingData, fetchFn) {
|
||||
const existingDates = new Set(
|
||||
existingData.map((d) => this.timeManager.formatDate(d.date))
|
||||
);
|
||||
const missingData = [];
|
||||
|
||||
let currentDate = new Date(start);
|
||||
while (currentDate < end) {
|
||||
const dayBounds = this.timeManager.getDayBounds(currentDate);
|
||||
const dateString = this.timeManager.formatDate(dayBounds.start);
|
||||
|
||||
if (!existingDates.has(dateString)) {
|
||||
const data = await fetchFn({
|
||||
start: dayBounds.start,
|
||||
end: dayBounds.end,
|
||||
});
|
||||
|
||||
await this.storeHistoricalDay(dayBounds.start, data);
|
||||
missingData.push(data);
|
||||
}
|
||||
|
||||
// Move to next day using timeManager to ensure proper business day boundaries
|
||||
currentDate = new Date(dayBounds.end.getTime() + 1);
|
||||
}
|
||||
|
||||
return missingData;
|
||||
}
|
||||
|
||||
async getHistoricalDays(start, end) {
|
||||
try {
|
||||
if (!this.mongodb) return [];
|
||||
|
||||
const collection = this.mongodb.collection(this.options.collection);
|
||||
const startDay = this.timeManager.getDayBounds(start);
|
||||
const endDay = this.timeManager.getDayBounds(end);
|
||||
|
||||
const records = await collection
|
||||
.find({
|
||||
date: {
|
||||
$gte: startDay.start,
|
||||
$lt: endDay.start,
|
||||
},
|
||||
})
|
||||
.sort({ date: 1 })
|
||||
.toArray();
|
||||
|
||||
return records;
|
||||
} catch (error) {
|
||||
console.error('Error getting historical days:', error);
|
||||
return [];
|
||||
}
|
||||
}
|
||||
|
||||
combineMetrics(metricsArray) {
|
||||
if (!metricsArray || metricsArray.length === 0) return null;
|
||||
if (metricsArray.length === 1) return metricsArray[0];
|
||||
|
||||
const combined = {
|
||||
total: 0,
|
||||
by_direction: { inbound: 0, outbound: 0 },
|
||||
by_status: { answered: 0, missed: 0 },
|
||||
by_missed_reason: {},
|
||||
by_hour: Array(24).fill(0),
|
||||
by_users: {},
|
||||
daily_data: [],
|
||||
duration_distribution: [
|
||||
{ range: '0-1m', count: 0 },
|
||||
{ range: '1-5m', count: 0 },
|
||||
{ range: '5-15m', count: 0 },
|
||||
{ range: '15-30m', count: 0 },
|
||||
{ range: '30m+', count: 0 }
|
||||
],
|
||||
average_duration: 0
|
||||
};
|
||||
|
||||
let totalAnswered = 0;
|
||||
let totalDuration = 0;
|
||||
|
||||
metricsArray.forEach(metrics => {
|
||||
// Sum basic metrics
|
||||
combined.total += metrics.total;
|
||||
combined.by_direction.inbound += metrics.by_direction.inbound;
|
||||
combined.by_direction.outbound += metrics.by_direction.outbound;
|
||||
combined.by_status.answered += metrics.by_status.answered;
|
||||
combined.by_status.missed += metrics.by_status.missed;
|
||||
|
||||
// Combine missed reasons
|
||||
Object.entries(metrics.by_missed_reason).forEach(([reason, count]) => {
|
||||
combined.by_missed_reason[reason] = (combined.by_missed_reason[reason] || 0) + count;
|
||||
});
|
||||
|
||||
// Sum hourly data
|
||||
metrics.by_hour.forEach((count, hour) => {
|
||||
combined.by_hour[hour] += count;
|
||||
});
|
||||
|
||||
// Combine user data
|
||||
Object.entries(metrics.by_users).forEach(([userId, userData]) => {
|
||||
if (!combined.by_users[userId]) {
|
||||
combined.by_users[userId] = {
|
||||
id: userData.id,
|
||||
name: userData.name,
|
||||
total: 0,
|
||||
answered: 0,
|
||||
missed: 0,
|
||||
total_duration: 0,
|
||||
average_duration: 0
|
||||
};
|
||||
}
|
||||
combined.by_users[userId].total += userData.total;
|
||||
combined.by_users[userId].answered += userData.answered;
|
||||
combined.by_users[userId].missed += userData.missed;
|
||||
combined.by_users[userId].total_duration += userData.total_duration || 0;
|
||||
});
|
||||
|
||||
// Combine duration distribution
|
||||
metrics.duration_distribution.forEach((dist, index) => {
|
||||
combined.duration_distribution[index].count += dist.count;
|
||||
});
|
||||
|
||||
// Accumulate for average duration calculation
|
||||
if (metrics.average_duration && metrics.by_status.answered) {
|
||||
totalDuration += metrics.average_duration * metrics.by_status.answered;
|
||||
totalAnswered += metrics.by_status.answered;
|
||||
}
|
||||
|
||||
// Merge daily data
|
||||
if (metrics.daily_data) {
|
||||
combined.daily_data.push(...metrics.daily_data);
|
||||
}
|
||||
});
|
||||
|
||||
// Calculate final average duration
|
||||
if (totalAnswered > 0) {
|
||||
combined.average_duration = Math.round(totalDuration / totalAnswered);
|
||||
}
|
||||
|
||||
// Calculate user averages
|
||||
Object.values(combined.by_users).forEach(user => {
|
||||
if (user.answered > 0) {
|
||||
user.average_duration = Math.round(user.total_duration / user.answered);
|
||||
}
|
||||
});
|
||||
|
||||
// Sort and deduplicate daily data
|
||||
combined.daily_data = Array.from(
|
||||
new Map(combined.daily_data.map(item => [item.date, item])).values()
|
||||
).sort((a, b) => a.date.localeCompare(b.date));
|
||||
|
||||
return combined;
|
||||
}
|
||||
}
|
||||
@@ -1,15 +0,0 @@
|
||||
import { MongoClient } from 'mongodb';
|
||||
|
||||
const MONGODB_URI = process.env.MONGODB_URI || 'mongodb://localhost:27017/dashboard';
|
||||
const DB_NAME = process.env.MONGODB_DB || 'dashboard';
|
||||
|
||||
export async function connectMongoDB() {
|
||||
try {
|
||||
const client = await MongoClient.connect(MONGODB_URI);
|
||||
console.log('Connected to MongoDB');
|
||||
return client.db(DB_NAME);
|
||||
} catch (error) {
|
||||
console.error('MongoDB connection error:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
@@ -1,37 +0,0 @@
|
||||
import winston from 'winston';
|
||||
import path from 'path';
|
||||
import { fileURLToPath } from 'url';
|
||||
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
export function createLogger(service) {
|
||||
// Create logs directory relative to the project root (two levels up from utils)
|
||||
const logsDir = path.join(__dirname, '../../logs');
|
||||
|
||||
return winston.createLogger({
|
||||
level: process.env.LOG_LEVEL || 'info',
|
||||
format: winston.format.combine(
|
||||
winston.format.timestamp(),
|
||||
winston.format.json()
|
||||
),
|
||||
defaultMeta: { service },
|
||||
transports: [
|
||||
// Write all logs to console
|
||||
new winston.transports.Console({
|
||||
format: winston.format.combine(
|
||||
winston.format.colorize(),
|
||||
winston.format.simple()
|
||||
)
|
||||
}),
|
||||
// Write all logs to service-specific files
|
||||
new winston.transports.File({
|
||||
filename: path.join(logsDir, `${service}-error.log`),
|
||||
level: 'error'
|
||||
}),
|
||||
new winston.transports.File({
|
||||
filename: path.join(logsDir, `${service}-combined.log`)
|
||||
})
|
||||
]
|
||||
});
|
||||
}
|
||||
@@ -1,23 +0,0 @@
|
||||
import { createClient } from 'redis';
|
||||
|
||||
const REDIS_URL = process.env.REDIS_URL || 'redis://localhost:6379';
|
||||
|
||||
export async function createRedisClient() {
|
||||
try {
|
||||
const client = createClient({
|
||||
url: REDIS_URL
|
||||
});
|
||||
|
||||
await client.connect();
|
||||
console.log('Connected to Redis');
|
||||
|
||||
client.on('error', (err) => {
|
||||
console.error('Redis error:', err);
|
||||
});
|
||||
|
||||
return client;
|
||||
} catch (error) {
|
||||
console.error('Redis connection error:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
@@ -1,262 +0,0 @@
|
||||
class TimeManager {
|
||||
static ALLOWED_RANGES = ['today', 'yesterday', 'last2days', 'last7days', 'last30days', 'last90days',
|
||||
'previous7days', 'previous30days', 'previous90days'];
|
||||
|
||||
constructor(timezone = 'America/New_York', dayStartsAt = 1) {
|
||||
this.timezone = timezone;
|
||||
this.dayStartsAt = dayStartsAt;
|
||||
}
|
||||
|
||||
getDayBounds(date) {
|
||||
try {
|
||||
const now = new Date();
|
||||
const targetDate = new Date(date);
|
||||
|
||||
// For today
|
||||
if (
|
||||
targetDate.getUTCFullYear() === now.getUTCFullYear() &&
|
||||
targetDate.getUTCMonth() === now.getUTCMonth() &&
|
||||
targetDate.getUTCDate() === now.getUTCDate()
|
||||
) {
|
||||
// If current time is before day start (1 AM ET / 6 AM UTC),
|
||||
// use previous day's start until now
|
||||
const todayStart = new Date(Date.UTC(
|
||||
now.getUTCFullYear(),
|
||||
now.getUTCMonth(),
|
||||
now.getUTCDate(),
|
||||
this.dayStartsAt + 5,
|
||||
0,
|
||||
0,
|
||||
0
|
||||
));
|
||||
|
||||
if (now < todayStart) {
|
||||
const yesterdayStart = new Date(todayStart);
|
||||
yesterdayStart.setUTCDate(yesterdayStart.getUTCDate() - 1);
|
||||
return { start: yesterdayStart, end: now };
|
||||
}
|
||||
|
||||
return { start: todayStart, end: now };
|
||||
}
|
||||
|
||||
// For past days, use full 24-hour period
|
||||
const normalizedDate = new Date(Date.UTC(
|
||||
targetDate.getUTCFullYear(),
|
||||
targetDate.getUTCMonth(),
|
||||
targetDate.getUTCDate()
|
||||
));
|
||||
|
||||
const dayStart = new Date(normalizedDate);
|
||||
dayStart.setUTCHours(this.dayStartsAt + 5, 0, 0, 0);
|
||||
|
||||
const dayEnd = new Date(dayStart);
|
||||
dayEnd.setUTCDate(dayEnd.getUTCDate() + 1);
|
||||
|
||||
return { start: dayStart, end: dayEnd };
|
||||
} catch (error) {
|
||||
console.error('Error in getDayBounds:', error);
|
||||
throw new Error(`Failed to calculate day bounds: ${error.message}`);
|
||||
}
|
||||
}
|
||||
|
||||
getDateRange(period) {
|
||||
try {
|
||||
const now = new Date();
|
||||
const todayBounds = this.getDayBounds(now);
|
||||
const end = new Date();
|
||||
|
||||
switch (period) {
|
||||
case 'today':
|
||||
return {
|
||||
start: todayBounds.start,
|
||||
end
|
||||
};
|
||||
case 'yesterday': {
|
||||
const yesterday = new Date(now);
|
||||
yesterday.setDate(yesterday.getDate() - 1);
|
||||
return this.getDayBounds(yesterday);
|
||||
}
|
||||
case 'last2days': {
|
||||
const twoDaysAgo = new Date(now);
|
||||
twoDaysAgo.setDate(twoDaysAgo.getDate() - 2);
|
||||
return this.getDayBounds(twoDaysAgo);
|
||||
}
|
||||
case 'last7days': {
|
||||
const start = new Date(now);
|
||||
start.setDate(start.getDate() - 6);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end
|
||||
};
|
||||
}
|
||||
case 'previous7days': {
|
||||
const end = new Date(now);
|
||||
end.setDate(end.getDate() - 7);
|
||||
const start = new Date(end);
|
||||
start.setDate(start.getDate() - 6);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end: this.getDayBounds(end).end
|
||||
};
|
||||
}
|
||||
case 'last30days': {
|
||||
const start = new Date(now);
|
||||
start.setDate(start.getDate() - 29);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end
|
||||
};
|
||||
}
|
||||
case 'previous30days': {
|
||||
const end = new Date(now);
|
||||
end.setDate(end.getDate() - 30);
|
||||
const start = new Date(end);
|
||||
start.setDate(start.getDate() - 29);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end: this.getDayBounds(end).end
|
||||
};
|
||||
}
|
||||
case 'last90days': {
|
||||
const start = new Date(now);
|
||||
start.setDate(start.getDate() - 89);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end
|
||||
};
|
||||
}
|
||||
case 'previous90days': {
|
||||
const end = new Date(now);
|
||||
end.setDate(end.getDate() - 90);
|
||||
const start = new Date(end);
|
||||
start.setDate(start.getDate() - 89);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end: this.getDayBounds(end).end
|
||||
};
|
||||
}
|
||||
default:
|
||||
throw new Error(`Unsupported time period: ${period}`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error in getDateRange:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
getPreviousPeriod(period) {
|
||||
try {
|
||||
const now = new Date();
|
||||
|
||||
switch (period) {
|
||||
case 'today':
|
||||
return 'yesterday';
|
||||
case 'yesterday': {
|
||||
// Return bounds for 2 days ago
|
||||
const twoDaysAgo = new Date(now);
|
||||
twoDaysAgo.setDate(twoDaysAgo.getDate() - 2);
|
||||
return this.getDayBounds(twoDaysAgo);
|
||||
}
|
||||
case 'last7days': {
|
||||
// Return bounds for previous 7 days
|
||||
const end = new Date(now);
|
||||
end.setDate(end.getDate() - 7);
|
||||
const start = new Date(end);
|
||||
start.setDate(start.getDate() - 7);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end: this.getDayBounds(end).end
|
||||
};
|
||||
}
|
||||
case 'last30days': {
|
||||
const end = new Date(now);
|
||||
end.setDate(end.getDate() - 30);
|
||||
const start = new Date(end);
|
||||
start.setDate(start.getDate() - 30);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end: this.getDayBounds(end).end
|
||||
};
|
||||
}
|
||||
case 'last90days': {
|
||||
const end = new Date(now);
|
||||
end.setDate(end.getDate() - 90);
|
||||
const start = new Date(end);
|
||||
start.setDate(start.getDate() - 90);
|
||||
return {
|
||||
start: this.getDayBounds(start).start,
|
||||
end: this.getDayBounds(end).end
|
||||
};
|
||||
}
|
||||
default:
|
||||
throw new Error(`Unsupported time period: ${period}`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error in getPreviousPeriod:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
getCurrentBusinessDayEnd() {
|
||||
try {
|
||||
const now = new Date();
|
||||
const todayBounds = this.getDayBounds(now);
|
||||
|
||||
// If current time is before day start (1 AM ET / 6 AM UTC),
|
||||
// then we're still in yesterday's business day
|
||||
const todayStart = new Date(Date.UTC(
|
||||
now.getUTCFullYear(),
|
||||
now.getUTCMonth(),
|
||||
now.getUTCDate(),
|
||||
this.dayStartsAt + 5,
|
||||
0,
|
||||
0,
|
||||
0
|
||||
));
|
||||
|
||||
if (now < todayStart) {
|
||||
const yesterdayBounds = this.getDayBounds(new Date(now.getTime() - 24 * 60 * 60 * 1000));
|
||||
return yesterdayBounds.end;
|
||||
}
|
||||
|
||||
// Return the earlier of current time or today's end
|
||||
return now < todayBounds.end ? now : todayBounds.end;
|
||||
} catch (error) {
|
||||
console.error('Error in getCurrentBusinessDayEnd:', error);
|
||||
return new Date();
|
||||
}
|
||||
}
|
||||
|
||||
isValidTimeRange(timeRange) {
|
||||
return TimeManager.ALLOWED_RANGES.includes(timeRange);
|
||||
}
|
||||
|
||||
isToday(date) {
|
||||
const now = new Date();
|
||||
const targetDate = new Date(date);
|
||||
return (
|
||||
targetDate.getUTCFullYear() === now.getUTCFullYear() &&
|
||||
targetDate.getUTCMonth() === now.getUTCMonth() &&
|
||||
targetDate.getUTCDate() === now.getUTCDate()
|
||||
);
|
||||
}
|
||||
|
||||
formatDate(date) {
|
||||
try {
|
||||
return date.toLocaleString('en-US', {
|
||||
timeZone: this.timezone,
|
||||
year: 'numeric',
|
||||
month: '2-digit',
|
||||
day: '2-digit',
|
||||
hour: '2-digit',
|
||||
minute: '2-digit',
|
||||
second: '2-digit'
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error formatting date:', error);
|
||||
return date.toISOString();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
export const createTimeManager = (timezone, dayStartsAt) => new TimeManager(timezone, dayStartsAt);
|
||||
@@ -1,10 +0,0 @@
|
||||
# Server Configuration
|
||||
NODE_ENV=development
|
||||
PORT=3003
|
||||
|
||||
# Authentication
|
||||
JWT_SECRET=your-secret-key-here
|
||||
DASHBOARD_PASSWORD=your-dashboard-password-here
|
||||
|
||||
# Cookie Settings
|
||||
COOKIE_DOMAIN=localhost # In production: .kent.pw
|
||||
@@ -1,203 +0,0 @@
|
||||
// auth-server/index.js
|
||||
const path = require('path');
|
||||
require('dotenv').config({ path: path.join(__dirname, '.env') });
|
||||
const express = require('express');
|
||||
const cors = require('cors');
|
||||
const cookieParser = require('cookie-parser');
|
||||
const jwt = require('jsonwebtoken');
|
||||
|
||||
// Debug environment variables
|
||||
console.log('Environment variables loaded from:', path.join(__dirname, '.env'));
|
||||
console.log('Current directory:', __dirname);
|
||||
console.log('Available env vars:', Object.keys(process.env));
|
||||
|
||||
const app = express();
|
||||
const PORT = process.env.PORT || 3003;
|
||||
const JWT_SECRET = process.env.JWT_SECRET;
|
||||
const DASHBOARD_PASSWORD = process.env.DASHBOARD_PASSWORD;
|
||||
|
||||
// Validate required environment variables
|
||||
if (!JWT_SECRET || !DASHBOARD_PASSWORD) {
|
||||
console.error('Missing required environment variables:');
|
||||
if (!JWT_SECRET) console.error('- JWT_SECRET');
|
||||
if (!DASHBOARD_PASSWORD) console.error('- DASHBOARD_PASSWORD');
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
// Middleware
|
||||
app.use(express.json());
|
||||
app.use(cookieParser());
|
||||
|
||||
// Configure CORS
|
||||
const corsOptions = {
|
||||
origin: function(origin, callback) {
|
||||
const allowedOrigins = [
|
||||
'http://localhost:3000',
|
||||
'https://tools.acherryontop.com'
|
||||
];
|
||||
|
||||
console.log('CORS check for origin:', origin);
|
||||
|
||||
// Allow local network IPs (192.168.1.xxx)
|
||||
if (origin && origin.match(/^http:\/\/192\.168\.1\.\d{1,3}(:\d+)?$/)) {
|
||||
callback(null, true);
|
||||
return;
|
||||
}
|
||||
|
||||
// Check if origin is in allowed list
|
||||
if (!origin || allowedOrigins.indexOf(origin) !== -1) {
|
||||
callback(null, true);
|
||||
} else {
|
||||
callback(new Error('Not allowed by CORS'));
|
||||
}
|
||||
},
|
||||
credentials: true,
|
||||
methods: ['GET', 'POST', 'OPTIONS'],
|
||||
allowedHeaders: ['Content-Type', 'Authorization', 'Cookie', 'Accept'],
|
||||
exposedHeaders: ['Set-Cookie']
|
||||
};
|
||||
|
||||
app.use(cors(corsOptions));
|
||||
app.options('*', cors(corsOptions));
|
||||
|
||||
// Debug logging
|
||||
app.use((req, res, next) => {
|
||||
console.log(`${new Date().toISOString()} ${req.method} ${req.url}`);
|
||||
console.log('Headers:', req.headers);
|
||||
console.log('Cookies:', req.cookies);
|
||||
next();
|
||||
});
|
||||
|
||||
// Health check endpoint
|
||||
app.get('/health', (req, res) => {
|
||||
res.json({
|
||||
status: 'ok',
|
||||
timestamp: new Date().toISOString()
|
||||
});
|
||||
});
|
||||
|
||||
// Auth endpoints
|
||||
app.post('/login', (req, res) => {
|
||||
console.log('Login attempt received');
|
||||
console.log('Request body:', req.body);
|
||||
console.log('Origin:', req.headers.origin);
|
||||
|
||||
const { password } = req.body;
|
||||
|
||||
if (!password) {
|
||||
console.log('No password provided');
|
||||
return res.status(400).json({
|
||||
success: false,
|
||||
message: 'Password is required'
|
||||
});
|
||||
}
|
||||
|
||||
console.log('Comparing passwords...');
|
||||
console.log('Provided password length:', password.length);
|
||||
console.log('Expected password length:', DASHBOARD_PASSWORD.length);
|
||||
|
||||
if (password === DASHBOARD_PASSWORD) {
|
||||
console.log('Password matched');
|
||||
const token = jwt.sign({ authorized: true }, JWT_SECRET, {
|
||||
expiresIn: '24h'
|
||||
});
|
||||
|
||||
// Determine if request is from local network
|
||||
const isLocalNetwork = req.headers.origin?.includes('192.168.1.') || req.headers.origin?.includes('localhost');
|
||||
|
||||
const cookieOptions = {
|
||||
httpOnly: true,
|
||||
secure: !isLocalNetwork, // Only use secure for non-local requests
|
||||
sameSite: isLocalNetwork ? 'lax' : 'none',
|
||||
path: '/',
|
||||
maxAge: 24 * 60 * 60 * 1000 // 24 hours
|
||||
};
|
||||
|
||||
// Only set domain for production
|
||||
if (!isLocalNetwork) {
|
||||
cookieOptions.domain = '.kent.pw';
|
||||
}
|
||||
|
||||
console.log('Setting cookie with options:', cookieOptions);
|
||||
res.cookie('token', token, cookieOptions);
|
||||
|
||||
console.log('Response headers:', res.getHeaders());
|
||||
res.json({
|
||||
success: true,
|
||||
debug: {
|
||||
origin: req.headers.origin,
|
||||
cookieOptions
|
||||
}
|
||||
});
|
||||
} else {
|
||||
console.log('Password mismatch');
|
||||
res.status(401).json({
|
||||
success: false,
|
||||
message: 'Invalid password'
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Modify the check endpoint to log more info
|
||||
app.get('/check', (req, res) => {
|
||||
console.log('Auth check received');
|
||||
console.log('All cookies:', req.cookies);
|
||||
console.log('Headers:', req.headers);
|
||||
|
||||
const token = req.cookies.token;
|
||||
|
||||
if (!token) {
|
||||
console.log('No token found in cookies');
|
||||
return res.status(401).json({
|
||||
authenticated: false,
|
||||
error: 'no_token'
|
||||
});
|
||||
}
|
||||
|
||||
try {
|
||||
const decoded = jwt.verify(token, JWT_SECRET);
|
||||
console.log('Token verified successfully:', decoded);
|
||||
res.json({ authenticated: true });
|
||||
} catch (err) {
|
||||
console.log('Token verification failed:', err.message);
|
||||
res.status(401).json({
|
||||
authenticated: false,
|
||||
error: 'invalid_token',
|
||||
message: err.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
app.post('/logout', (req, res) => {
|
||||
const isLocalNetwork = req.headers.origin?.includes('192.168.1.') || req.headers.origin?.includes('localhost');
|
||||
const cookieOptions = {
|
||||
httpOnly: true,
|
||||
secure: !isLocalNetwork,
|
||||
sameSite: isLocalNetwork ? 'lax' : 'none',
|
||||
path: '/',
|
||||
domain: isLocalNetwork ? undefined : '.kent.pw'
|
||||
};
|
||||
|
||||
console.log('Clearing cookie with options:', cookieOptions);
|
||||
res.clearCookie('token', cookieOptions);
|
||||
res.json({ success: true });
|
||||
});
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
console.error('Server error:', err);
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
message: 'Internal server error',
|
||||
error: err.message
|
||||
});
|
||||
});
|
||||
|
||||
// Start server
|
||||
app.listen(PORT, () => {
|
||||
console.log(`Auth server running on port ${PORT}`);
|
||||
console.log('Environment:', process.env.NODE_ENV);
|
||||
console.log('CORS origins:', corsOptions.origin);
|
||||
console.log('JWT_SECRET length:', JWT_SECRET?.length);
|
||||
console.log('DASHBOARD_PASSWORD length:', DASHBOARD_PASSWORD?.length);
|
||||
});
|
||||
1044
inventory-server/dashboard/auth-server/package-lock.json
generated
1044
inventory-server/dashboard/auth-server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,22 +0,0 @@
|
||||
{
|
||||
"name": "auth-server",
|
||||
"version": "1.0.0",
|
||||
"main": "index.js",
|
||||
"scripts": {
|
||||
"test": "echo \"Error: no test specified\" && exit 1"
|
||||
},
|
||||
"keywords": [],
|
||||
"author": "",
|
||||
"license": "ISC",
|
||||
"description": "",
|
||||
"dependencies": {
|
||||
"cookie-parser": "^1.4.7",
|
||||
"cors": "^2.8.5",
|
||||
"date-fns": "^4.1.0",
|
||||
"date-fns-tz": "^3.2.0",
|
||||
"dotenv": "^16.4.7",
|
||||
"express": "^4.21.1",
|
||||
"express-session": "^1.18.1",
|
||||
"jsonwebtoken": "^9.0.2"
|
||||
}
|
||||
}
|
||||
@@ -1 +0,0 @@
|
||||
/etc/nginx/sites-enabled/dashboard.conf
|
||||
2538
inventory-server/dashboard/google-server/package-lock.json
generated
2538
inventory-server/dashboard/google-server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,21 +0,0 @@
|
||||
{
|
||||
"name": "google-analytics-server",
|
||||
"version": "1.0.0",
|
||||
"description": "Google Analytics server for dashboard",
|
||||
"main": "server.js",
|
||||
"scripts": {
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"@google-analytics/data": "^4.0.0",
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.3.1",
|
||||
"express": "^4.18.2",
|
||||
"redis": "^4.6.11",
|
||||
"winston": "^3.11.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^3.0.2"
|
||||
}
|
||||
}
|
||||
@@ -1,254 +0,0 @@
|
||||
const express = require('express');
|
||||
const { BetaAnalyticsDataClient } = require('@google-analytics/data');
|
||||
const router = express.Router();
|
||||
const logger = require('../utils/logger');
|
||||
|
||||
// Initialize GA4 client
|
||||
const analyticsClient = new BetaAnalyticsDataClient({
|
||||
credentials: JSON.parse(process.env.GOOGLE_APPLICATION_CREDENTIALS_JSON)
|
||||
});
|
||||
|
||||
const propertyId = process.env.GA_PROPERTY_ID;
|
||||
|
||||
// Cache durations
|
||||
const CACHE_DURATIONS = {
|
||||
REALTIME_BASIC: 60, // 1 minute
|
||||
REALTIME_DETAILED: 300, // 5 minutes
|
||||
BASIC_METRICS: 3600, // 1 hour
|
||||
USER_BEHAVIOR: 3600 // 1 hour
|
||||
};
|
||||
|
||||
// Basic metrics endpoint
|
||||
router.get('/metrics', async (req, res) => {
|
||||
try {
|
||||
const { startDate = '7daysAgo' } = req.query;
|
||||
const cacheKey = `analytics:basic_metrics:${startDate}`;
|
||||
|
||||
// Check Redis cache
|
||||
const cachedData = await req.redisClient.get(cacheKey);
|
||||
if (cachedData) {
|
||||
logger.info('Returning cached basic metrics data');
|
||||
return res.json({ success: true, data: JSON.parse(cachedData) });
|
||||
}
|
||||
|
||||
// Fetch from GA4
|
||||
const [response] = await analyticsClient.runReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dateRanges: [{ startDate, endDate: 'today' }],
|
||||
dimensions: [{ name: 'date' }],
|
||||
metrics: [
|
||||
{ name: 'activeUsers' },
|
||||
{ name: 'newUsers' },
|
||||
{ name: 'averageSessionDuration' },
|
||||
{ name: 'screenPageViews' },
|
||||
{ name: 'bounceRate' },
|
||||
{ name: 'conversions' }
|
||||
],
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
// Cache the response
|
||||
await req.redisClient.set(cacheKey, JSON.stringify(response), {
|
||||
EX: CACHE_DURATIONS.BASIC_METRICS
|
||||
});
|
||||
|
||||
res.json({ success: true, data: response });
|
||||
} catch (error) {
|
||||
logger.error('Error fetching basic metrics:', error);
|
||||
res.status(500).json({ success: false, error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Realtime basic data endpoint
|
||||
router.get('/realtime/basic', async (req, res) => {
|
||||
try {
|
||||
const cacheKey = 'analytics:realtime:basic';
|
||||
|
||||
// Check Redis cache
|
||||
const cachedData = await req.redisClient.get(cacheKey);
|
||||
if (cachedData) {
|
||||
logger.info('Returning cached realtime basic data');
|
||||
return res.json({ success: true, data: JSON.parse(cachedData) });
|
||||
}
|
||||
|
||||
// Fetch active users
|
||||
const [userResponse] = await analyticsClient.runRealtimeReport({
|
||||
property: `properties/${propertyId}`,
|
||||
metrics: [{ name: 'activeUsers' }],
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
// Fetch last 5 minutes
|
||||
const [fiveMinResponse] = await analyticsClient.runRealtimeReport({
|
||||
property: `properties/${propertyId}`,
|
||||
metrics: [{ name: 'activeUsers' }],
|
||||
minuteRanges: [{ startMinutesAgo: 5, endMinutesAgo: 0 }]
|
||||
});
|
||||
|
||||
// Fetch time series data
|
||||
const [timeSeriesResponse] = await analyticsClient.runRealtimeReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dimensions: [{ name: 'minutesAgo' }],
|
||||
metrics: [{ name: 'activeUsers' }]
|
||||
});
|
||||
|
||||
const response = {
|
||||
userResponse,
|
||||
fiveMinResponse,
|
||||
timeSeriesResponse,
|
||||
quotaInfo: {
|
||||
projectHourly: userResponse.propertyQuota.tokensPerProjectPerHour,
|
||||
daily: userResponse.propertyQuota.tokensPerDay,
|
||||
serverErrors: userResponse.propertyQuota.serverErrorsPerProjectPerHour,
|
||||
thresholdedRequests: userResponse.propertyQuota.potentiallyThresholdedRequestsPerHour
|
||||
}
|
||||
};
|
||||
|
||||
// Cache the response
|
||||
await req.redisClient.set(cacheKey, JSON.stringify(response), {
|
||||
EX: CACHE_DURATIONS.REALTIME_BASIC
|
||||
});
|
||||
|
||||
res.json({ success: true, data: response });
|
||||
} catch (error) {
|
||||
logger.error('Error fetching realtime basic data:', error);
|
||||
res.status(500).json({ success: false, error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Realtime detailed data endpoint
|
||||
router.get('/realtime/detailed', async (req, res) => {
|
||||
try {
|
||||
const cacheKey = 'analytics:realtime:detailed';
|
||||
|
||||
// Check Redis cache
|
||||
const cachedData = await req.redisClient.get(cacheKey);
|
||||
if (cachedData) {
|
||||
logger.info('Returning cached realtime detailed data');
|
||||
return res.json({ success: true, data: JSON.parse(cachedData) });
|
||||
}
|
||||
|
||||
// Fetch current pages
|
||||
const [pageResponse] = await analyticsClient.runRealtimeReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dimensions: [{ name: 'unifiedScreenName' }],
|
||||
metrics: [{ name: 'screenPageViews' }],
|
||||
orderBy: [{ metric: { metricName: 'screenPageViews' }, desc: true }],
|
||||
limit: 25
|
||||
});
|
||||
|
||||
// Fetch events
|
||||
const [eventResponse] = await analyticsClient.runRealtimeReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dimensions: [{ name: 'eventName' }],
|
||||
metrics: [{ name: 'eventCount' }],
|
||||
orderBy: [{ metric: { metricName: 'eventCount' }, desc: true }],
|
||||
limit: 25
|
||||
});
|
||||
|
||||
// Fetch device categories
|
||||
const [deviceResponse] = await analyticsClient.runRealtimeReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dimensions: [{ name: 'deviceCategory' }],
|
||||
metrics: [{ name: 'activeUsers' }],
|
||||
orderBy: [{ metric: { metricName: 'activeUsers' }, desc: true }],
|
||||
limit: 10,
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
const response = {
|
||||
pageResponse,
|
||||
eventResponse,
|
||||
sourceResponse: deviceResponse
|
||||
};
|
||||
|
||||
// Cache the response
|
||||
await req.redisClient.set(cacheKey, JSON.stringify(response), {
|
||||
EX: CACHE_DURATIONS.REALTIME_DETAILED
|
||||
});
|
||||
|
||||
res.json({ success: true, data: response });
|
||||
} catch (error) {
|
||||
logger.error('Error fetching realtime detailed data:', error);
|
||||
res.status(500).json({ success: false, error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// User behavior endpoint
|
||||
router.get('/user-behavior', async (req, res) => {
|
||||
try {
|
||||
const { timeRange = '30' } = req.query;
|
||||
const cacheKey = `analytics:user_behavior:${timeRange}`;
|
||||
|
||||
// Check Redis cache
|
||||
const cachedData = await req.redisClient.get(cacheKey);
|
||||
if (cachedData) {
|
||||
logger.info('Returning cached user behavior data');
|
||||
return res.json({ success: true, data: JSON.parse(cachedData) });
|
||||
}
|
||||
|
||||
// Fetch page data
|
||||
const [pageResponse] = await analyticsClient.runReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dateRanges: [{ startDate: `${timeRange}daysAgo`, endDate: 'today' }],
|
||||
dimensions: [{ name: 'pagePath' }],
|
||||
metrics: [
|
||||
{ name: 'screenPageViews' },
|
||||
{ name: 'averageSessionDuration' },
|
||||
{ name: 'bounceRate' },
|
||||
{ name: 'sessions' }
|
||||
],
|
||||
orderBy: [{
|
||||
metric: { metricName: 'screenPageViews' },
|
||||
desc: true
|
||||
}],
|
||||
limit: 25
|
||||
});
|
||||
|
||||
// Fetch device data
|
||||
const [deviceResponse] = await analyticsClient.runReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dateRanges: [{ startDate: `${timeRange}daysAgo`, endDate: 'today' }],
|
||||
dimensions: [{ name: 'deviceCategory' }],
|
||||
metrics: [
|
||||
{ name: 'screenPageViews' },
|
||||
{ name: 'sessions' }
|
||||
]
|
||||
});
|
||||
|
||||
// Fetch source data
|
||||
const [sourceResponse] = await analyticsClient.runReport({
|
||||
property: `properties/${propertyId}`,
|
||||
dateRanges: [{ startDate: `${timeRange}daysAgo`, endDate: 'today' }],
|
||||
dimensions: [{ name: 'sessionSource' }],
|
||||
metrics: [
|
||||
{ name: 'sessions' },
|
||||
{ name: 'conversions' }
|
||||
],
|
||||
orderBy: [{
|
||||
metric: { metricName: 'sessions' },
|
||||
desc: true
|
||||
}],
|
||||
limit: 25,
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
const response = {
|
||||
pageResponse,
|
||||
deviceResponse,
|
||||
sourceResponse
|
||||
};
|
||||
|
||||
// Cache the response
|
||||
await req.redisClient.set(cacheKey, JSON.stringify(response), {
|
||||
EX: CACHE_DURATIONS.USER_BEHAVIOR
|
||||
});
|
||||
|
||||
res.json({ success: true, data: response });
|
||||
} catch (error) {
|
||||
logger.error('Error fetching user behavior data:', error);
|
||||
res.status(500).json({ success: false, error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,91 +0,0 @@
|
||||
const express = require('express');
|
||||
const router = express.Router();
|
||||
const analyticsService = require('../services/analytics.service');
|
||||
|
||||
// Basic metrics endpoint
|
||||
router.get('/metrics', async (req, res) => {
|
||||
try {
|
||||
const { startDate = '7daysAgo' } = req.query;
|
||||
console.log(`Fetching metrics with startDate: ${startDate}`);
|
||||
|
||||
const data = await analyticsService.getBasicMetrics(startDate);
|
||||
res.json({ success: true, data });
|
||||
} catch (error) {
|
||||
console.error('Metrics error:', {
|
||||
startDate: req.query.startDate,
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: 'Failed to fetch metrics',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Realtime basic data endpoint
|
||||
router.get('/realtime/basic', async (req, res) => {
|
||||
try {
|
||||
console.log('Fetching realtime basic data');
|
||||
const data = await analyticsService.getRealTimeBasicData();
|
||||
res.json({ success: true, data });
|
||||
} catch (error) {
|
||||
console.error('Realtime basic error:', {
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: 'Failed to fetch realtime basic data',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Realtime detailed data endpoint
|
||||
router.get('/realtime/detailed', async (req, res) => {
|
||||
try {
|
||||
console.log('Fetching realtime detailed data');
|
||||
const data = await analyticsService.getRealTimeDetailedData();
|
||||
res.json({ success: true, data });
|
||||
} catch (error) {
|
||||
console.error('Realtime detailed error:', {
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: 'Failed to fetch realtime detailed data',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// User behavior endpoint
|
||||
router.get('/user-behavior', async (req, res) => {
|
||||
try {
|
||||
const { timeRange = '30' } = req.query;
|
||||
console.log(`Fetching user behavior with timeRange: ${timeRange}`);
|
||||
|
||||
const data = await analyticsService.getUserBehavior(timeRange);
|
||||
res.json({ success: true, data });
|
||||
} catch (error) {
|
||||
console.error('User behavior error:', {
|
||||
timeRange: req.query.timeRange,
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
|
||||
res.status(500).json({
|
||||
success: false,
|
||||
error: 'Failed to fetch user behavior data',
|
||||
details: error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,65 +0,0 @@
|
||||
const express = require('express');
|
||||
const cors = require('cors');
|
||||
const { createClient } = require('redis');
|
||||
const analyticsRoutes = require('./routes/analytics.routes');
|
||||
|
||||
const app = express();
|
||||
const port = process.env.GOOGLE_ANALYTICS_PORT || 3007;
|
||||
|
||||
// Redis client setup
|
||||
const redisClient = createClient({
|
||||
url: process.env.REDIS_URL || 'redis://localhost:6379'
|
||||
});
|
||||
|
||||
redisClient.on('error', (err) => console.error('Redis Client Error:', err));
|
||||
redisClient.on('connect', () => console.log('Redis Client Connected'));
|
||||
|
||||
// Connect to Redis
|
||||
(async () => {
|
||||
try {
|
||||
await redisClient.connect();
|
||||
} catch (err) {
|
||||
console.error('Redis connection error:', err);
|
||||
}
|
||||
})();
|
||||
|
||||
// Middleware
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
|
||||
// Make Redis client available in requests
|
||||
app.use((req, res, next) => {
|
||||
req.redisClient = redisClient;
|
||||
next();
|
||||
});
|
||||
|
||||
// Routes
|
||||
app.use('/api/analytics', analyticsRoutes);
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
console.error('Server error:', err);
|
||||
res.status(err.status || 500).json({
|
||||
success: false,
|
||||
message: err.message || 'Internal server error',
|
||||
error: process.env.NODE_ENV === 'production' ? err : {}
|
||||
});
|
||||
});
|
||||
|
||||
// Start server
|
||||
app.listen(port, () => {
|
||||
console.log(`Google Analytics server running on port ${port}`);
|
||||
});
|
||||
|
||||
// Handle graceful shutdown
|
||||
process.on('SIGTERM', async () => {
|
||||
console.log('SIGTERM received. Shutting down gracefully...');
|
||||
await redisClient.quit();
|
||||
process.exit(0);
|
||||
});
|
||||
|
||||
process.on('SIGINT', async () => {
|
||||
console.log('SIGINT received. Shutting down gracefully...');
|
||||
await redisClient.quit();
|
||||
process.exit(0);
|
||||
});
|
||||
@@ -1,283 +0,0 @@
|
||||
const { BetaAnalyticsDataClient } = require('@google-analytics/data');
|
||||
const { createClient } = require('redis');
|
||||
|
||||
class AnalyticsService {
|
||||
constructor() {
|
||||
// Initialize Redis client
|
||||
this.redis = createClient({
|
||||
url: process.env.REDIS_URL || 'redis://localhost:6379'
|
||||
});
|
||||
|
||||
this.redis.on('error', err => console.error('Redis Client Error:', err));
|
||||
this.redis.connect().catch(err => console.error('Redis connection error:', err));
|
||||
|
||||
try {
|
||||
// Initialize GA4 client
|
||||
const credentials = process.env.GOOGLE_APPLICATION_CREDENTIALS_JSON;
|
||||
this.analyticsClient = new BetaAnalyticsDataClient({
|
||||
credentials: typeof credentials === 'string' ? JSON.parse(credentials) : credentials
|
||||
});
|
||||
|
||||
this.propertyId = process.env.GA_PROPERTY_ID;
|
||||
} catch (error) {
|
||||
console.error('Failed to initialize GA4 client:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
// Cache durations
|
||||
CACHE_DURATIONS = {
|
||||
REALTIME_BASIC: 60, // 1 minute
|
||||
REALTIME_DETAILED: 300, // 5 minutes
|
||||
BASIC_METRICS: 3600, // 1 hour
|
||||
USER_BEHAVIOR: 3600 // 1 hour
|
||||
};
|
||||
|
||||
async getBasicMetrics(startDate = '7daysAgo') {
|
||||
const cacheKey = `analytics:basic_metrics:${startDate}`;
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log('Analytics metrics found in Redis cache');
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
// Fetch from GA4
|
||||
console.log('Fetching fresh metrics data from GA4');
|
||||
const [response] = await this.analyticsClient.runReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dateRanges: [{ startDate, endDate: 'today' }],
|
||||
dimensions: [{ name: 'date' }],
|
||||
metrics: [
|
||||
{ name: 'activeUsers' },
|
||||
{ name: 'newUsers' },
|
||||
{ name: 'averageSessionDuration' },
|
||||
{ name: 'screenPageViews' },
|
||||
{ name: 'bounceRate' },
|
||||
{ name: 'conversions' }
|
||||
],
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
// Cache the response
|
||||
await this.redis.set(cacheKey, JSON.stringify(response), {
|
||||
EX: this.CACHE_DURATIONS.BASIC_METRICS
|
||||
});
|
||||
|
||||
return response;
|
||||
} catch (error) {
|
||||
console.error('Error fetching analytics metrics:', {
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getRealTimeBasicData() {
|
||||
const cacheKey = 'analytics:realtime:basic';
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log('Realtime basic data found in Redis cache');
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
console.log('Fetching fresh realtime data from GA4');
|
||||
|
||||
// Fetch active users
|
||||
const [userResponse] = await this.analyticsClient.runRealtimeReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
metrics: [{ name: 'activeUsers' }],
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
// Fetch last 5 minutes
|
||||
const [fiveMinResponse] = await this.analyticsClient.runRealtimeReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
metrics: [{ name: 'activeUsers' }],
|
||||
minuteRanges: [{ startMinutesAgo: 5, endMinutesAgo: 0 }]
|
||||
});
|
||||
|
||||
// Fetch time series data
|
||||
const [timeSeriesResponse] = await this.analyticsClient.runRealtimeReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dimensions: [{ name: 'minutesAgo' }],
|
||||
metrics: [{ name: 'activeUsers' }]
|
||||
});
|
||||
|
||||
const response = {
|
||||
userResponse,
|
||||
fiveMinResponse,
|
||||
timeSeriesResponse,
|
||||
quotaInfo: {
|
||||
projectHourly: userResponse.propertyQuota.tokensPerProjectPerHour,
|
||||
daily: userResponse.propertyQuota.tokensPerDay,
|
||||
serverErrors: userResponse.propertyQuota.serverErrorsPerProjectPerHour,
|
||||
thresholdedRequests: userResponse.propertyQuota.potentiallyThresholdedRequestsPerHour
|
||||
}
|
||||
};
|
||||
|
||||
// Cache the response
|
||||
await this.redis.set(cacheKey, JSON.stringify(response), {
|
||||
EX: this.CACHE_DURATIONS.REALTIME_BASIC
|
||||
});
|
||||
|
||||
return response;
|
||||
} catch (error) {
|
||||
console.error('Error fetching realtime basic data:', {
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getRealTimeDetailedData() {
|
||||
const cacheKey = 'analytics:realtime:detailed';
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log('Realtime detailed data found in Redis cache');
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
console.log('Fetching fresh realtime detailed data from GA4');
|
||||
|
||||
// Fetch current pages
|
||||
const [pageResponse] = await this.analyticsClient.runRealtimeReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dimensions: [{ name: 'unifiedScreenName' }],
|
||||
metrics: [{ name: 'screenPageViews' }],
|
||||
orderBy: [{ metric: { metricName: 'screenPageViews' }, desc: true }],
|
||||
limit: 25
|
||||
});
|
||||
|
||||
// Fetch events
|
||||
const [eventResponse] = await this.analyticsClient.runRealtimeReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dimensions: [{ name: 'eventName' }],
|
||||
metrics: [{ name: 'eventCount' }],
|
||||
orderBy: [{ metric: { metricName: 'eventCount' }, desc: true }],
|
||||
limit: 25
|
||||
});
|
||||
|
||||
// Fetch device categories
|
||||
const [deviceResponse] = await this.analyticsClient.runRealtimeReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dimensions: [{ name: 'deviceCategory' }],
|
||||
metrics: [{ name: 'activeUsers' }],
|
||||
orderBy: [{ metric: { metricName: 'activeUsers' }, desc: true }],
|
||||
limit: 10,
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
const response = {
|
||||
pageResponse,
|
||||
eventResponse,
|
||||
sourceResponse: deviceResponse
|
||||
};
|
||||
|
||||
// Cache the response
|
||||
await this.redis.set(cacheKey, JSON.stringify(response), {
|
||||
EX: this.CACHE_DURATIONS.REALTIME_DETAILED
|
||||
});
|
||||
|
||||
return response;
|
||||
} catch (error) {
|
||||
console.error('Error fetching realtime detailed data:', {
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getUserBehavior(timeRange = '30') {
|
||||
const cacheKey = `analytics:user_behavior:${timeRange}`;
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log('User behavior data found in Redis cache');
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
console.log('Fetching fresh user behavior data from GA4');
|
||||
|
||||
// Fetch page data
|
||||
const [pageResponse] = await this.analyticsClient.runReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dateRanges: [{ startDate: `${timeRange}daysAgo`, endDate: 'today' }],
|
||||
dimensions: [{ name: 'pagePath' }],
|
||||
metrics: [
|
||||
{ name: 'screenPageViews' },
|
||||
{ name: 'averageSessionDuration' },
|
||||
{ name: 'bounceRate' },
|
||||
{ name: 'sessions' }
|
||||
],
|
||||
orderBy: [{
|
||||
metric: { metricName: 'screenPageViews' },
|
||||
desc: true
|
||||
}],
|
||||
limit: 25
|
||||
});
|
||||
|
||||
// Fetch device data
|
||||
const [deviceResponse] = await this.analyticsClient.runReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dateRanges: [{ startDate: `${timeRange}daysAgo`, endDate: 'today' }],
|
||||
dimensions: [{ name: 'deviceCategory' }],
|
||||
metrics: [
|
||||
{ name: 'screenPageViews' },
|
||||
{ name: 'sessions' }
|
||||
]
|
||||
});
|
||||
|
||||
// Fetch source data
|
||||
const [sourceResponse] = await this.analyticsClient.runReport({
|
||||
property: `properties/${this.propertyId}`,
|
||||
dateRanges: [{ startDate: `${timeRange}daysAgo`, endDate: 'today' }],
|
||||
dimensions: [{ name: 'sessionSource' }],
|
||||
metrics: [
|
||||
{ name: 'sessions' },
|
||||
{ name: 'conversions' }
|
||||
],
|
||||
orderBy: [{
|
||||
metric: { metricName: 'sessions' },
|
||||
desc: true
|
||||
}],
|
||||
limit: 25,
|
||||
returnPropertyQuota: true
|
||||
});
|
||||
|
||||
const response = {
|
||||
pageResponse,
|
||||
deviceResponse,
|
||||
sourceResponse
|
||||
};
|
||||
|
||||
// Cache the response
|
||||
await this.redis.set(cacheKey, JSON.stringify(response), {
|
||||
EX: this.CACHE_DURATIONS.USER_BEHAVIOR
|
||||
});
|
||||
|
||||
return response;
|
||||
} catch (error) {
|
||||
console.error('Error fetching user behavior data:', {
|
||||
error: error.message,
|
||||
stack: error.stack
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = new AnalyticsService();
|
||||
@@ -1,35 +0,0 @@
|
||||
const winston = require('winston');
|
||||
const path = require('path');
|
||||
|
||||
const logger = winston.createLogger({
|
||||
level: process.env.LOG_LEVEL || 'info',
|
||||
format: winston.format.combine(
|
||||
winston.format.timestamp(),
|
||||
winston.format.json()
|
||||
),
|
||||
transports: [
|
||||
new winston.transports.File({
|
||||
filename: path.join(__dirname, '../logs/pm2/error.log'),
|
||||
level: 'error',
|
||||
maxsize: 10485760, // 10MB
|
||||
maxFiles: 5
|
||||
}),
|
||||
new winston.transports.File({
|
||||
filename: path.join(__dirname, '../logs/pm2/combined.log'),
|
||||
maxsize: 10485760, // 10MB
|
||||
maxFiles: 5
|
||||
})
|
||||
]
|
||||
});
|
||||
|
||||
// Add console transport in development
|
||||
if (process.env.NODE_ENV !== 'production') {
|
||||
logger.add(new winston.transports.Console({
|
||||
format: winston.format.combine(
|
||||
winston.format.colorize(),
|
||||
winston.format.simple()
|
||||
)
|
||||
}));
|
||||
}
|
||||
|
||||
module.exports = logger;
|
||||
1068
inventory-server/dashboard/gorgias-server/package-lock.json
generated
1068
inventory-server/dashboard/gorgias-server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,19 +0,0 @@
|
||||
{
|
||||
"name": "gorgias-server",
|
||||
"version": "1.0.0",
|
||||
"main": "index.js",
|
||||
"scripts": {
|
||||
"test": "echo \"Error: no test specified\" && exit 1"
|
||||
},
|
||||
"keywords": [],
|
||||
"author": "",
|
||||
"license": "ISC",
|
||||
"description": "",
|
||||
"dependencies": {
|
||||
"axios": "^1.7.9",
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.4.7",
|
||||
"express": "^4.21.2",
|
||||
"redis": "^4.7.0"
|
||||
}
|
||||
}
|
||||
@@ -1,119 +0,0 @@
|
||||
const express = require('express');
|
||||
const router = express.Router();
|
||||
const gorgiasService = require('../services/gorgias.service');
|
||||
|
||||
// Get statistics
|
||||
router.post('/stats/:name', async (req, res) => {
|
||||
try {
|
||||
const { name } = req.params;
|
||||
const filters = req.body;
|
||||
|
||||
console.log(`Fetching ${name} statistics with filters:`, filters);
|
||||
|
||||
if (!name) {
|
||||
return res.status(400).json({
|
||||
error: 'Missing statistic name',
|
||||
details: 'The name parameter is required'
|
||||
});
|
||||
}
|
||||
|
||||
const data = await gorgiasService.getStatistics(name, filters);
|
||||
|
||||
if (!data) {
|
||||
return res.status(404).json({
|
||||
error: 'No data found',
|
||||
details: `No statistics found for ${name}`
|
||||
});
|
||||
}
|
||||
|
||||
res.json({ data });
|
||||
} catch (error) {
|
||||
console.error('Statistics error:', {
|
||||
name: req.params.name,
|
||||
filters: req.body,
|
||||
error: error.message,
|
||||
stack: error.stack,
|
||||
response: error.response?.data
|
||||
});
|
||||
|
||||
// Handle specific error cases
|
||||
if (error.response?.status === 401) {
|
||||
return res.status(401).json({
|
||||
error: 'Authentication failed',
|
||||
details: 'Invalid Gorgias API credentials'
|
||||
});
|
||||
}
|
||||
|
||||
if (error.response?.status === 404) {
|
||||
return res.status(404).json({
|
||||
error: 'Not found',
|
||||
details: `Statistics type '${req.params.name}' not found`
|
||||
});
|
||||
}
|
||||
|
||||
if (error.response?.status === 400) {
|
||||
return res.status(400).json({
|
||||
error: 'Invalid request',
|
||||
details: error.response?.data?.message || 'The request was invalid',
|
||||
data: error.response?.data
|
||||
});
|
||||
}
|
||||
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch statistics',
|
||||
details: error.response?.data?.message || error.message,
|
||||
data: error.response?.data
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get tickets
|
||||
router.get('/tickets', async (req, res) => {
|
||||
try {
|
||||
const data = await gorgiasService.getTickets(req.query);
|
||||
res.json(data);
|
||||
} catch (error) {
|
||||
console.error('Tickets error:', {
|
||||
params: req.query,
|
||||
error: error.message,
|
||||
response: error.response?.data
|
||||
});
|
||||
|
||||
if (error.response?.status === 401) {
|
||||
return res.status(401).json({
|
||||
error: 'Authentication failed',
|
||||
details: 'Invalid Gorgias API credentials'
|
||||
});
|
||||
}
|
||||
|
||||
if (error.response?.status === 400) {
|
||||
return res.status(400).json({
|
||||
error: 'Invalid request',
|
||||
details: error.response?.data?.message || 'The request was invalid',
|
||||
data: error.response?.data
|
||||
});
|
||||
}
|
||||
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch tickets',
|
||||
details: error.response?.data?.message || error.message,
|
||||
data: error.response?.data
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get customer satisfaction
|
||||
router.get('/satisfaction', async (req, res) => {
|
||||
try {
|
||||
const data = await gorgiasService.getCustomerSatisfaction(req.query);
|
||||
res.json(data);
|
||||
} catch (error) {
|
||||
console.error('Satisfaction error:', error);
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch customer satisfaction',
|
||||
details: error.response?.data || error.message
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,31 +0,0 @@
|
||||
const express = require('express');
|
||||
const cors = require('cors');
|
||||
const path = require('path');
|
||||
require('dotenv').config({
|
||||
path: path.resolve(__dirname, '.env')
|
||||
});
|
||||
|
||||
const app = express();
|
||||
const port = process.env.PORT || 3006;
|
||||
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
|
||||
// Import routes
|
||||
const gorgiasRoutes = require('./routes/gorgias.routes');
|
||||
|
||||
// Use routes
|
||||
app.use('/api/gorgias', gorgiasRoutes);
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
console.error(err.stack);
|
||||
res.status(500).json({ error: 'Something went wrong!' });
|
||||
});
|
||||
|
||||
// Start server
|
||||
app.listen(port, () => {
|
||||
console.log(`Gorgias API server running on port ${port}`);
|
||||
});
|
||||
|
||||
module.exports = app;
|
||||
@@ -1,119 +0,0 @@
|
||||
const axios = require('axios');
|
||||
const { createClient } = require('redis');
|
||||
|
||||
class GorgiasService {
|
||||
constructor() {
|
||||
this.redis = createClient({
|
||||
url: process.env.REDIS_URL
|
||||
});
|
||||
|
||||
this.redis.on('error', err => console.error('Redis Client Error:', err));
|
||||
this.redis.connect().catch(err => console.error('Redis connection error:', err));
|
||||
|
||||
// Create base64 encoded auth string
|
||||
const auth = Buffer.from(`${process.env.GORGIAS_API_USERNAME}:${process.env.GORGIAS_API_KEY}`).toString('base64');
|
||||
|
||||
this.apiClient = axios.create({
|
||||
baseURL: `https://${process.env.GORGIAS_DOMAIN}.gorgias.com/api`,
|
||||
headers: {
|
||||
'Authorization': `Basic ${auth}`,
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
async getStatistics(name, filters = {}) {
|
||||
const cacheKey = `gorgias:stats:${name}:${JSON.stringify(filters)}`;
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log(`Statistics ${name} found in Redis cache`);
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
console.log(`Fetching ${name} statistics with filters:`, filters);
|
||||
|
||||
// Convert dates to UTC midnight if not already set
|
||||
if (!filters.start_datetime || !filters.end_datetime) {
|
||||
const start = new Date(filters.start_datetime || filters.start_date);
|
||||
start.setUTCHours(0, 0, 0, 0);
|
||||
const end = new Date(filters.end_datetime || filters.end_date);
|
||||
end.setUTCHours(23, 59, 59, 999);
|
||||
|
||||
filters = {
|
||||
...filters,
|
||||
start_datetime: start.toISOString(),
|
||||
end_datetime: end.toISOString()
|
||||
};
|
||||
}
|
||||
|
||||
// Fetch from API
|
||||
const response = await this.apiClient.post(`/stats/${name}`, filters);
|
||||
const data = response.data;
|
||||
|
||||
// Save to Redis with 5 minute expiry
|
||||
await this.redis.set(cacheKey, JSON.stringify(data), {
|
||||
EX: 300 // 5 minutes
|
||||
});
|
||||
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error(`Error in getStatistics for ${name}:`, {
|
||||
error: error.message,
|
||||
filters,
|
||||
response: error.response?.data
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getTickets(params = {}) {
|
||||
const cacheKey = `gorgias:tickets:${JSON.stringify(params)}`;
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log('Tickets found in Redis cache');
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
// Convert dates to UTC midnight
|
||||
const formattedParams = { ...params };
|
||||
if (params.start_date) {
|
||||
const start = new Date(params.start_date);
|
||||
start.setUTCHours(0, 0, 0, 0);
|
||||
formattedParams.start_datetime = start.toISOString();
|
||||
delete formattedParams.start_date;
|
||||
}
|
||||
if (params.end_date) {
|
||||
const end = new Date(params.end_date);
|
||||
end.setUTCHours(23, 59, 59, 999);
|
||||
formattedParams.end_datetime = end.toISOString();
|
||||
delete formattedParams.end_date;
|
||||
}
|
||||
|
||||
// Fetch from API
|
||||
const response = await this.apiClient.get('/tickets', { params: formattedParams });
|
||||
const data = response.data;
|
||||
|
||||
// Save to Redis with 5 minute expiry
|
||||
await this.redis.set(cacheKey, JSON.stringify(data), {
|
||||
EX: 300 // 5 minutes
|
||||
});
|
||||
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error('Error fetching tickets:', {
|
||||
error: error.message,
|
||||
params,
|
||||
response: error.response?.data
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = new GorgiasService();
|
||||
2104
inventory-server/dashboard/klaviyo-server/package-lock.json
generated
2104
inventory-server/dashboard/klaviyo-server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,26 +0,0 @@
|
||||
{
|
||||
"name": "klaviyo-server",
|
||||
"version": "1.0.0",
|
||||
"description": "Klaviyo API integration server",
|
||||
"main": "server.js",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.4.7",
|
||||
"esm": "^3.2.25",
|
||||
"express": "^4.18.2",
|
||||
"express-rate-limit": "^7.5.0",
|
||||
"ioredis": "^5.4.1",
|
||||
"luxon": "^3.5.0",
|
||||
"node-fetch": "^3.3.2",
|
||||
"pg": "^8.18.0",
|
||||
"recharts": "^2.15.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^3.0.2"
|
||||
}
|
||||
}
|
||||
@@ -1,71 +0,0 @@
|
||||
import express from 'express';
|
||||
import { CampaignsService } from '../services/campaigns.service.js';
|
||||
import { TimeManager } from '../utils/time.utils.js';
|
||||
|
||||
export function createCampaignsRouter(apiKey, apiRevision) {
|
||||
const router = express.Router();
|
||||
const timeManager = new TimeManager();
|
||||
const campaignsService = new CampaignsService(apiKey, apiRevision);
|
||||
|
||||
// Get campaigns with optional filtering
|
||||
router.get('/', async (req, res) => {
|
||||
try {
|
||||
const params = {
|
||||
pageSize: parseInt(req.query.pageSize) || 50,
|
||||
sort: req.query.sort || '-send_time',
|
||||
status: req.query.status,
|
||||
startDate: req.query.startDate,
|
||||
endDate: req.query.endDate,
|
||||
pageCursor: req.query.pageCursor
|
||||
};
|
||||
|
||||
console.log('[Campaigns Route] Fetching campaigns with params:', params);
|
||||
const data = await campaignsService.getCampaigns(params);
|
||||
console.log('[Campaigns Route] Success:', {
|
||||
count: data.data?.length || 0
|
||||
});
|
||||
res.json(data);
|
||||
} catch (error) {
|
||||
console.error('[Campaigns Route] Error:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
message: error.message,
|
||||
details: error.response?.data || null
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get campaigns by time range
|
||||
router.get('/:timeRange', async (req, res) => {
|
||||
try {
|
||||
const { timeRange } = req.params;
|
||||
const { status } = req.query;
|
||||
|
||||
let result;
|
||||
if (timeRange === 'custom') {
|
||||
const { startDate, endDate } = req.query;
|
||||
if (!startDate || !endDate) {
|
||||
return res.status(400).json({ error: 'Custom range requires startDate and endDate' });
|
||||
}
|
||||
|
||||
result = await campaignsService.getCampaigns({
|
||||
startDate,
|
||||
endDate,
|
||||
status
|
||||
});
|
||||
} else {
|
||||
result = await campaignsService.getCampaignsByTimeRange(
|
||||
timeRange,
|
||||
{ status }
|
||||
);
|
||||
}
|
||||
|
||||
res.json(result);
|
||||
} catch (error) {
|
||||
console.error("[Campaigns Route] Error:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
return router;
|
||||
}
|
||||
@@ -1,480 +0,0 @@
|
||||
import express from 'express';
|
||||
import { EventsService } from '../services/events.service.js';
|
||||
import { TimeManager } from '../utils/time.utils.js';
|
||||
import { RedisService } from '../services/redis.service.js';
|
||||
|
||||
// Import METRIC_IDS from events service
|
||||
const METRIC_IDS = {
|
||||
PLACED_ORDER: 'Y8cqcF',
|
||||
SHIPPED_ORDER: 'VExpdL',
|
||||
ACCOUNT_CREATED: 'TeeypV',
|
||||
CANCELED_ORDER: 'YjVMNg',
|
||||
NEW_BLOG_POST: 'YcxeDr',
|
||||
PAYMENT_REFUNDED: 'R7XUYh'
|
||||
};
|
||||
|
||||
export function createEventsRouter(apiKey, apiRevision) {
|
||||
const router = express.Router();
|
||||
const timeManager = new TimeManager();
|
||||
const eventsService = new EventsService(apiKey, apiRevision);
|
||||
const redisService = new RedisService();
|
||||
|
||||
// Get events with optional filtering
|
||||
router.get('/', async (req, res) => {
|
||||
try {
|
||||
const params = {
|
||||
pageSize: parseInt(req.query.pageSize) || 50,
|
||||
sort: req.query.sort || '-datetime',
|
||||
metricId: req.query.metricId,
|
||||
startDate: req.query.startDate,
|
||||
endDate: req.query.endDate,
|
||||
pageCursor: req.query.pageCursor,
|
||||
fields: {}
|
||||
};
|
||||
|
||||
// Parse fields parameter if provided
|
||||
if (req.query.fields) {
|
||||
try {
|
||||
params.fields = JSON.parse(req.query.fields);
|
||||
} catch (e) {
|
||||
console.warn('[Events Route] Invalid fields parameter:', e);
|
||||
}
|
||||
}
|
||||
|
||||
console.log('[Events Route] Fetching events with params:', params);
|
||||
const data = await eventsService.getEvents(params);
|
||||
console.log('[Events Route] Success:', {
|
||||
count: data.data?.length || 0,
|
||||
included: data.included?.length || 0
|
||||
});
|
||||
res.json(data);
|
||||
} catch (error) {
|
||||
console.error('[Events Route] Error:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
message: error.message,
|
||||
details: error.response?.data || null
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get events by time range
|
||||
router.get('/by-time/:timeRange', async (req, res) => {
|
||||
try {
|
||||
const { timeRange } = req.params;
|
||||
const { metricId, startDate, endDate } = req.query;
|
||||
|
||||
let result;
|
||||
if (timeRange === 'custom') {
|
||||
if (!startDate || !endDate) {
|
||||
return res.status(400).json({ error: 'Custom range requires startDate and endDate' });
|
||||
}
|
||||
|
||||
const range = timeManager.getCustomRange(startDate, endDate);
|
||||
if (!range) {
|
||||
return res.status(400).json({ error: 'Invalid date range' });
|
||||
}
|
||||
|
||||
result = await eventsService.getEvents({
|
||||
metricId,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO()
|
||||
});
|
||||
} else {
|
||||
result = await eventsService.getEventsByTimeRange(
|
||||
timeRange,
|
||||
{ metricId }
|
||||
);
|
||||
}
|
||||
|
||||
res.json(result);
|
||||
} catch (error) {
|
||||
console.error("[Events Route] Error:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Get comprehensive statistics for a time period
|
||||
router.get('/stats', async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
console.log('[Events Route] Stats request:', {
|
||||
timeRange,
|
||||
startDate,
|
||||
endDate
|
||||
});
|
||||
|
||||
let range;
|
||||
if (startDate && endDate) {
|
||||
range = timeManager.getCustomRange(startDate, endDate);
|
||||
} else if (timeRange) {
|
||||
range = timeManager.getDateRange(timeRange);
|
||||
} else {
|
||||
return res.status(400).json({ error: 'Must provide either timeRange or startDate and endDate' });
|
||||
}
|
||||
|
||||
if (!range) {
|
||||
return res.status(400).json({ error: 'Invalid time range' });
|
||||
}
|
||||
|
||||
const params = {
|
||||
timeRange,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO()
|
||||
};
|
||||
|
||||
console.log('[Events Route] Calculating period stats with params:', params);
|
||||
const stats = await eventsService.calculatePeriodStats(params);
|
||||
console.log('[Events Route] Stats response:', {
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO()
|
||||
},
|
||||
shippedCount: stats?.shipping?.shippedCount,
|
||||
totalOrders: stats?.orderCount
|
||||
});
|
||||
|
||||
res.json({
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
},
|
||||
stats
|
||||
});
|
||||
} catch (error) {
|
||||
console.error("[Events Route] Error:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Add new route for smart revenue projection
|
||||
router.get('/projection', async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
console.log('[Events Route] Projection request:', {
|
||||
timeRange,
|
||||
startDate,
|
||||
endDate
|
||||
});
|
||||
|
||||
let range;
|
||||
if (startDate && endDate) {
|
||||
range = timeManager.getCustomRange(startDate, endDate);
|
||||
} else if (timeRange) {
|
||||
range = timeManager.getDateRange(timeRange);
|
||||
} else {
|
||||
return res.status(400).json({ error: 'Must provide either timeRange or startDate and endDate' });
|
||||
}
|
||||
|
||||
if (!range) {
|
||||
return res.status(400).json({ error: 'Invalid time range' });
|
||||
}
|
||||
|
||||
const params = {
|
||||
timeRange,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO()
|
||||
};
|
||||
|
||||
// Try to get from cache first with a short TTL
|
||||
const cacheKey = redisService._getCacheKey('projection', params);
|
||||
const cachedData = await redisService.get(cacheKey);
|
||||
|
||||
if (cachedData) {
|
||||
console.log('[Events Route] Cache hit for projection');
|
||||
return res.json(cachedData);
|
||||
}
|
||||
|
||||
console.log('[Events Route] Calculating smart projection with params:', params);
|
||||
const projection = await eventsService.calculateSmartProjection(params);
|
||||
|
||||
// Cache the results with a short TTL (5 minutes)
|
||||
await redisService.set(cacheKey, projection, 300);
|
||||
|
||||
res.json(projection);
|
||||
} catch (error) {
|
||||
console.error("[Events Route] Error calculating projection:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Add new route for detailed stats
|
||||
router.get('/stats/details', async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate, metric, daily = false } = req.query;
|
||||
|
||||
let range;
|
||||
if (startDate && endDate) {
|
||||
range = timeManager.getCustomRange(startDate, endDate);
|
||||
} else if (timeRange) {
|
||||
range = timeManager.getDateRange(timeRange);
|
||||
} else {
|
||||
return res.status(400).json({ error: 'Must provide either timeRange or startDate and endDate' });
|
||||
}
|
||||
|
||||
if (!range) {
|
||||
return res.status(400).json({ error: 'Invalid time range' });
|
||||
}
|
||||
|
||||
const params = {
|
||||
timeRange,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO(),
|
||||
metric,
|
||||
daily: daily === 'true' || daily === true
|
||||
};
|
||||
|
||||
// Try to get from cache first
|
||||
const cacheKey = redisService._getCacheKey('stats:details', params);
|
||||
const cachedData = await redisService.get(cacheKey);
|
||||
|
||||
if (cachedData) {
|
||||
console.log('[Events Route] Cache hit for detailed stats');
|
||||
return res.json({
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
},
|
||||
stats: cachedData
|
||||
});
|
||||
}
|
||||
|
||||
const stats = await eventsService.calculateDetailedStats(params);
|
||||
|
||||
// Cache the results
|
||||
const ttl = redisService._getTTL(timeRange);
|
||||
await redisService.set(cacheKey, stats, ttl);
|
||||
|
||||
res.json({
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
},
|
||||
stats
|
||||
});
|
||||
} catch (error) {
|
||||
console.error("[Events Route] Error:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Get product statistics for a time period
|
||||
router.get('/products', async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
|
||||
let range;
|
||||
if (startDate && endDate) {
|
||||
range = timeManager.getCustomRange(startDate, endDate);
|
||||
} else if (timeRange) {
|
||||
range = timeManager.getDateRange(timeRange);
|
||||
} else {
|
||||
return res.status(400).json({ error: 'Must provide either timeRange or startDate and endDate' });
|
||||
}
|
||||
|
||||
if (!range) {
|
||||
return res.status(400).json({ error: 'Invalid time range' });
|
||||
}
|
||||
|
||||
const params = {
|
||||
timeRange,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO()
|
||||
};
|
||||
|
||||
// Try to get from cache first
|
||||
const cacheKey = redisService._getCacheKey('events', params);
|
||||
const cachedData = await redisService.getEventData('products', params);
|
||||
|
||||
if (cachedData) {
|
||||
console.log('[Events Route] Cache hit for products');
|
||||
return res.json({
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
},
|
||||
stats: {
|
||||
products: cachedData
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
const stats = await eventsService.calculatePeriodStats(params);
|
||||
|
||||
res.json({
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
},
|
||||
stats
|
||||
});
|
||||
} catch (error) {
|
||||
console.error("[Events Route] Error:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Get event feed (multiple event types sorted by time)
|
||||
router.get('/feed', async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate, metricIds } = req.query;
|
||||
|
||||
let range;
|
||||
if (startDate && endDate) {
|
||||
range = timeManager.getCustomRange(startDate, endDate);
|
||||
} else if (timeRange) {
|
||||
range = timeManager.getDateRange(timeRange);
|
||||
} else {
|
||||
return res.status(400).json({ error: 'Must provide either timeRange or startDate and endDate' });
|
||||
}
|
||||
|
||||
if (!range) {
|
||||
return res.status(400).json({ error: 'Invalid time range' });
|
||||
}
|
||||
|
||||
const params = {
|
||||
timeRange,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO(),
|
||||
metricIds: metricIds ? JSON.parse(metricIds) : null
|
||||
};
|
||||
|
||||
const result = await eventsService.getMultiMetricEvents(params);
|
||||
|
||||
res.json({
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
},
|
||||
...result
|
||||
});
|
||||
} catch (error) {
|
||||
console.error("[Events Route] Error:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Get aggregated events data
|
||||
router.get('/aggregate', async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate, interval = 'day', metricId, property } = req.query;
|
||||
|
||||
let range;
|
||||
if (startDate && endDate) {
|
||||
range = timeManager.getCustomRange(startDate, endDate);
|
||||
} else if (timeRange) {
|
||||
range = timeManager.getDateRange(timeRange);
|
||||
} else {
|
||||
return res.status(400).json({ error: 'Must provide either timeRange or startDate and endDate' });
|
||||
}
|
||||
|
||||
if (!range) {
|
||||
return res.status(400).json({ error: 'Invalid time range' });
|
||||
}
|
||||
|
||||
const params = {
|
||||
timeRange,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO(),
|
||||
metricId,
|
||||
interval,
|
||||
property
|
||||
};
|
||||
|
||||
const result = await eventsService.getEvents(params);
|
||||
const groupedData = timeManager.groupEventsByInterval(result.data, interval, property);
|
||||
|
||||
res.json({
|
||||
timeRange: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
},
|
||||
data: groupedData
|
||||
});
|
||||
} catch (error) {
|
||||
console.error("[Events Route] Error:", error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
// Get date range for a given time period
|
||||
router.get("/dateRange", async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate } = req.query;
|
||||
|
||||
let range;
|
||||
if (startDate && endDate) {
|
||||
range = timeManager.getCustomRange(startDate, endDate);
|
||||
} else {
|
||||
range = timeManager.getDateRange(timeRange || 'today');
|
||||
}
|
||||
|
||||
if (!range) {
|
||||
return res.status(400).json({
|
||||
error: "Invalid time range parameters"
|
||||
});
|
||||
}
|
||||
|
||||
res.json({
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO(),
|
||||
displayStart: timeManager.formatForDisplay(range.start),
|
||||
displayEnd: timeManager.formatForDisplay(range.end)
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Error getting date range:', error);
|
||||
res.status(500).json({
|
||||
error: "Failed to get date range"
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Clear cache for a specific time range
|
||||
router.post("/clearCache", async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate } = req.body;
|
||||
await redisService.clearCache({ timeRange, startDate, endDate });
|
||||
res.json({ message: "Cache cleared successfully" });
|
||||
} catch (error) {
|
||||
console.error('Error clearing cache:', error);
|
||||
res.status(500).json({ error: "Failed to clear cache" });
|
||||
}
|
||||
});
|
||||
|
||||
// Add new batch metrics endpoint
|
||||
router.get('/batch', async (req, res) => {
|
||||
try {
|
||||
const { timeRange, startDate, endDate, metrics } = req.query;
|
||||
|
||||
// Parse metrics array from query
|
||||
const metricsList = metrics ? JSON.parse(metrics) : [];
|
||||
|
||||
const params = timeRange === 'custom'
|
||||
? { startDate, endDate, metrics: metricsList }
|
||||
: { timeRange, metrics: metricsList };
|
||||
|
||||
const results = await eventsService.getBatchMetrics(params);
|
||||
|
||||
res.json(results);
|
||||
} catch (error) {
|
||||
console.error('[Events Route] Error in batch request:', error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
return router;
|
||||
}
|
||||
@@ -1,17 +0,0 @@
|
||||
import express from 'express';
|
||||
import { createEventsRouter } from './events.routes.js';
|
||||
import { createMetricsRoutes } from './metrics.routes.js';
|
||||
import { createCampaignsRouter } from './campaigns.routes.js';
|
||||
import { createReportingRouter } from './reporting.routes.js';
|
||||
|
||||
export function createApiRouter(apiKey, apiRevision) {
|
||||
const router = express.Router();
|
||||
|
||||
// Mount routers
|
||||
router.use('/events', createEventsRouter(apiKey, apiRevision));
|
||||
router.use('/metrics', createMetricsRoutes(apiKey, apiRevision));
|
||||
router.use('/campaigns', createCampaignsRouter(apiKey, apiRevision));
|
||||
router.use('/reporting', createReportingRouter(apiKey, apiRevision));
|
||||
|
||||
return router;
|
||||
}
|
||||
@@ -1,29 +0,0 @@
|
||||
import express from 'express';
|
||||
import { MetricsService } from '../services/metrics.service.js';
|
||||
|
||||
const router = express.Router();
|
||||
|
||||
export function createMetricsRoutes(apiKey, apiRevision) {
|
||||
const metricsService = new MetricsService(apiKey, apiRevision);
|
||||
|
||||
// Get all metrics
|
||||
router.get('/', async (req, res) => {
|
||||
try {
|
||||
console.log('[Metrics Route] Fetching metrics');
|
||||
const data = await metricsService.getMetrics();
|
||||
console.log('[Metrics Route] Success:', {
|
||||
count: data.data?.length || 0
|
||||
});
|
||||
res.json(data);
|
||||
} catch (error) {
|
||||
console.error('[Metrics Route] Error:', error);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
message: error.message,
|
||||
details: error.response?.data || null
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
return router;
|
||||
}
|
||||
@@ -1,29 +0,0 @@
|
||||
import express from 'express';
|
||||
import { ReportingService } from '../services/reporting.service.js';
|
||||
import { TimeManager } from '../utils/time.utils.js';
|
||||
|
||||
export function createReportingRouter(apiKey, apiRevision) {
|
||||
const router = express.Router();
|
||||
const reportingService = new ReportingService(apiKey, apiRevision);
|
||||
const timeManager = new TimeManager();
|
||||
|
||||
// Get campaign reports by time range
|
||||
router.get('/campaigns/:timeRange', async (req, res) => {
|
||||
try {
|
||||
const { timeRange } = req.params;
|
||||
const { channel } = req.query;
|
||||
|
||||
const reports = await reportingService.getCampaignReports({
|
||||
timeRange,
|
||||
channel
|
||||
});
|
||||
|
||||
res.json(reports);
|
||||
} catch (error) {
|
||||
console.error('[ReportingRoutes] Error fetching campaign reports:', error);
|
||||
res.status(500).json({ error: error.message });
|
||||
}
|
||||
});
|
||||
|
||||
return router;
|
||||
}
|
||||
@@ -1,30 +0,0 @@
|
||||
-- Stores individual product links found in Klaviyo campaign emails
|
||||
CREATE TABLE IF NOT EXISTS klaviyo_campaign_products (
|
||||
id SERIAL PRIMARY KEY,
|
||||
campaign_id TEXT NOT NULL,
|
||||
campaign_name TEXT,
|
||||
sent_at TIMESTAMPTZ,
|
||||
pid BIGINT NOT NULL,
|
||||
product_url TEXT,
|
||||
created_at TIMESTAMPTZ DEFAULT NOW(),
|
||||
UNIQUE(campaign_id, pid)
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_kcp_campaign_id ON klaviyo_campaign_products(campaign_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_kcp_pid ON klaviyo_campaign_products(pid);
|
||||
CREATE INDEX IF NOT EXISTS idx_kcp_sent_at ON klaviyo_campaign_products(sent_at);
|
||||
|
||||
-- Stores non-product shop links (categories, filters, etc.) found in campaigns
|
||||
CREATE TABLE IF NOT EXISTS klaviyo_campaign_links (
|
||||
id SERIAL PRIMARY KEY,
|
||||
campaign_id TEXT NOT NULL,
|
||||
campaign_name TEXT,
|
||||
sent_at TIMESTAMPTZ,
|
||||
link_url TEXT NOT NULL,
|
||||
link_type TEXT, -- 'category', 'brand', 'filter', 'clearance', 'deals', 'other'
|
||||
created_at TIMESTAMPTZ DEFAULT NOW(),
|
||||
UNIQUE(campaign_id, link_url)
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_kcl_campaign_id ON klaviyo_campaign_links(campaign_id);
|
||||
CREATE INDEX IF NOT EXISTS idx_kcl_sent_at ON klaviyo_campaign_links(sent_at);
|
||||
@@ -1,279 +0,0 @@
|
||||
/**
|
||||
* Extract products featured in Klaviyo campaign emails and store in DB.
|
||||
*
|
||||
* - Fetches recent sent campaigns from Klaviyo API
|
||||
* - Gets template HTML for each campaign message
|
||||
* - Parses out product links (/shop/{id}) and other shop links
|
||||
* - Inserts into klaviyo_campaign_products and klaviyo_campaign_links tables
|
||||
*
|
||||
* Usage: node scripts/poc-campaign-products.js [limit] [offset]
|
||||
* limit: number of sent campaigns to process (default: 10)
|
||||
* offset: number of sent campaigns to skip before processing (default: 0)
|
||||
*
|
||||
* Requires DB_* env vars (from inventory-server .env) and KLAVIYO_API_KEY.
|
||||
*/
|
||||
|
||||
import fetch from 'node-fetch';
|
||||
import pg from 'pg';
|
||||
import dotenv from 'dotenv';
|
||||
import path from 'path';
|
||||
import fs from 'fs';
|
||||
import { fileURLToPath } from 'url';
|
||||
|
||||
const __dirname = path.dirname(fileURLToPath(import.meta.url));
|
||||
|
||||
// Load klaviyo .env for API key
|
||||
dotenv.config({ path: path.resolve(__dirname, '../.env') });
|
||||
// Also load the main inventory-server .env for DB credentials
|
||||
const mainEnvPath = '/var/www/html/inventory/.env';
|
||||
if (fs.existsSync(mainEnvPath)) {
|
||||
dotenv.config({ path: mainEnvPath });
|
||||
}
|
||||
|
||||
const API_KEY = process.env.KLAVIYO_API_KEY;
|
||||
const REVISION = process.env.KLAVIYO_API_REVISION || '2026-01-15';
|
||||
const BASE_URL = 'https://a.klaviyo.com/api';
|
||||
|
||||
if (!API_KEY) {
|
||||
console.error('KLAVIYO_API_KEY not set in .env');
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
// ── Klaviyo API helpers ──────────────────────────────────────────────
|
||||
|
||||
const headers = {
|
||||
'Accept': 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
'Authorization': `Klaviyo-API-Key ${API_KEY}`,
|
||||
'revision': REVISION,
|
||||
};
|
||||
|
||||
async function klaviyoGet(endpoint, params = {}) {
|
||||
const url = new URL(`${BASE_URL}${endpoint}`);
|
||||
for (const [k, v] of Object.entries(params)) {
|
||||
url.searchParams.append(k, v);
|
||||
}
|
||||
return klaviyoFetch(url.toString());
|
||||
}
|
||||
|
||||
async function klaviyoFetch(url) {
|
||||
const res = await fetch(url, { headers });
|
||||
if (!res.ok) {
|
||||
const body = await res.text();
|
||||
throw new Error(`Klaviyo ${res.status} on ${url}: ${body}`);
|
||||
}
|
||||
return res.json();
|
||||
}
|
||||
|
||||
async function getRecentCampaigns(limit, offset = 0) {
|
||||
const campaigns = [];
|
||||
const messageMap = {};
|
||||
let skipped = 0;
|
||||
|
||||
let data = await klaviyoGet('/campaigns', {
|
||||
'filter': 'equals(messages.channel,"email")',
|
||||
'sort': '-scheduled_at',
|
||||
'include': 'campaign-messages',
|
||||
});
|
||||
|
||||
while (true) {
|
||||
for (const c of (data.data || [])) {
|
||||
if (c.attributes?.status === 'Sent') {
|
||||
if (skipped < offset) {
|
||||
skipped++;
|
||||
continue;
|
||||
}
|
||||
campaigns.push(c);
|
||||
if (campaigns.length >= limit) break;
|
||||
}
|
||||
}
|
||||
|
||||
for (const inc of (data.included || [])) {
|
||||
if (inc.type === 'campaign-message') {
|
||||
messageMap[inc.id] = inc;
|
||||
}
|
||||
}
|
||||
|
||||
const nextUrl = data.links?.next;
|
||||
if (campaigns.length >= limit || !nextUrl) break;
|
||||
|
||||
const progress = skipped < offset
|
||||
? `Skipped ${skipped}/${offset}...`
|
||||
: `Fetched ${campaigns.length}/${limit} sent campaigns, loading next page...`;
|
||||
console.log(` ${progress}`);
|
||||
await new Promise(r => setTimeout(r, 200));
|
||||
data = await klaviyoFetch(nextUrl);
|
||||
}
|
||||
|
||||
return { campaigns: campaigns.slice(0, limit), messageMap };
|
||||
}
|
||||
|
||||
async function getTemplateHtml(messageId) {
|
||||
const data = await klaviyoGet(`/campaign-messages/${messageId}/template`, {
|
||||
'fields[template]': 'html,name',
|
||||
});
|
||||
return {
|
||||
templateId: data.data?.id,
|
||||
templateName: data.data?.attributes?.name,
|
||||
html: data.data?.attributes?.html || '',
|
||||
};
|
||||
}
|
||||
|
||||
// ── HTML parsing ─────────────────────────────────────────────────────
|
||||
|
||||
function parseProductsFromHtml(html) {
|
||||
const seen = new Set();
|
||||
const products = [];
|
||||
|
||||
const linkRegex = /href="([^"]*acherryontop\.com\/shop\/(\d+))[^"]*"/gi;
|
||||
let match;
|
||||
while ((match = linkRegex.exec(html)) !== null) {
|
||||
const productId = match[2];
|
||||
if (!seen.has(productId)) {
|
||||
seen.add(productId);
|
||||
products.push({
|
||||
siteProductId: productId,
|
||||
url: match[1],
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
const categoryLinks = [];
|
||||
const catRegex = /href="([^"]*acherryontop\.com\/shop\/[^"]+)"/gi;
|
||||
while ((match = catRegex.exec(html)) !== null) {
|
||||
const url = match[1];
|
||||
if (/\/shop\/\d+$/.test(url)) continue;
|
||||
if (!categoryLinks.includes(url)) categoryLinks.push(url);
|
||||
}
|
||||
|
||||
return { products, categoryLinks };
|
||||
}
|
||||
|
||||
function classifyLink(url) {
|
||||
if (/\/shop\/(new|pre-order|backinstock)/.test(url)) return 'filter';
|
||||
if (/\/shop\/company\//.test(url)) return 'brand';
|
||||
if (/\/shop\/clearance/.test(url)) return 'clearance';
|
||||
if (/\/shop\/daily_deals/.test(url)) return 'deals';
|
||||
if (/\/shop\/category\//.test(url)) return 'category';
|
||||
return 'other';
|
||||
}
|
||||
|
||||
// ── Database ─────────────────────────────────────────────────────────
|
||||
|
||||
function createPool() {
|
||||
return new pg.Pool({
|
||||
host: process.env.DB_HOST,
|
||||
user: process.env.DB_USER,
|
||||
password: process.env.DB_PASSWORD,
|
||||
database: process.env.DB_NAME,
|
||||
port: process.env.DB_PORT || 5432,
|
||||
ssl: process.env.DB_SSL === 'true' ? { rejectUnauthorized: false } : false,
|
||||
});
|
||||
}
|
||||
|
||||
async function insertProducts(pool, campaignId, campaignName, sentAt, products) {
|
||||
if (products.length === 0) return 0;
|
||||
|
||||
let inserted = 0;
|
||||
for (const p of products) {
|
||||
try {
|
||||
await pool.query(
|
||||
`INSERT INTO klaviyo_campaign_products
|
||||
(campaign_id, campaign_name, sent_at, pid, product_url)
|
||||
VALUES ($1, $2, $3, $4, $5)
|
||||
ON CONFLICT (campaign_id, pid) DO NOTHING`,
|
||||
[campaignId, campaignName, sentAt, parseInt(p.siteProductId), p.url]
|
||||
);
|
||||
inserted++;
|
||||
} catch (err) {
|
||||
console.error(` Error inserting product ${p.siteProductId}: ${err.message}`);
|
||||
}
|
||||
}
|
||||
return inserted;
|
||||
}
|
||||
|
||||
async function insertLinks(pool, campaignId, campaignName, sentAt, links) {
|
||||
if (links.length === 0) return 0;
|
||||
|
||||
let inserted = 0;
|
||||
for (const url of links) {
|
||||
try {
|
||||
await pool.query(
|
||||
`INSERT INTO klaviyo_campaign_links
|
||||
(campaign_id, campaign_name, sent_at, link_url, link_type)
|
||||
VALUES ($1, $2, $3, $4, $5)
|
||||
ON CONFLICT (campaign_id, link_url) DO NOTHING`,
|
||||
[campaignId, campaignName, sentAt, url, classifyLink(url)]
|
||||
);
|
||||
inserted++;
|
||||
} catch (err) {
|
||||
console.error(` Error inserting link: ${err.message}`);
|
||||
}
|
||||
}
|
||||
return inserted;
|
||||
}
|
||||
|
||||
// ── Main ─────────────────────────────────────────────────────────────
|
||||
|
||||
async function main() {
|
||||
const limit = parseInt(process.argv[2]) || 10;
|
||||
const offset = parseInt(process.argv[3]) || 0;
|
||||
const pool = createPool();
|
||||
|
||||
try {
|
||||
// Fetch campaigns
|
||||
console.log(`Fetching up to ${limit} recent campaigns (offset: ${offset})...\n`);
|
||||
const { campaigns, messageMap } = await getRecentCampaigns(limit, offset);
|
||||
console.log(`Found ${campaigns.length} sent campaigns.\n`);
|
||||
|
||||
let totalProducts = 0;
|
||||
let totalLinks = 0;
|
||||
|
||||
for (const campaign of campaigns) {
|
||||
const name = campaign.attributes?.name || 'Unnamed';
|
||||
const sentAt = campaign.attributes?.send_time;
|
||||
|
||||
console.log(`━━━ ${name} (${sentAt?.slice(0, 10) || 'no date'}) ━━━`);
|
||||
|
||||
const msgIds = (campaign.relationships?.['campaign-messages']?.data || [])
|
||||
.map(r => r.id);
|
||||
|
||||
if (msgIds.length === 0) {
|
||||
console.log(' No messages.\n');
|
||||
continue;
|
||||
}
|
||||
|
||||
for (const msgId of msgIds) {
|
||||
const msg = messageMap[msgId];
|
||||
const subject = msg?.attributes?.definition?.content?.subject;
|
||||
if (subject) console.log(` Subject: ${subject}`);
|
||||
|
||||
try {
|
||||
const template = await getTemplateHtml(msgId);
|
||||
const { products, categoryLinks } = parseProductsFromHtml(template.html);
|
||||
|
||||
const pInserted = await insertProducts(pool, campaign.id, name, sentAt, products);
|
||||
const lInserted = await insertLinks(pool, campaign.id, name, sentAt, categoryLinks);
|
||||
|
||||
console.log(` ${products.length} products (${pInserted} new), ${categoryLinks.length} links (${lInserted} new)`);
|
||||
totalProducts += pInserted;
|
||||
totalLinks += lInserted;
|
||||
|
||||
await new Promise(r => setTimeout(r, 200));
|
||||
} catch (err) {
|
||||
console.log(` Error: ${err.message}`);
|
||||
}
|
||||
}
|
||||
console.log('');
|
||||
}
|
||||
|
||||
console.log(`Done. Inserted ${totalProducts} product rows, ${totalLinks} link rows.`);
|
||||
} finally {
|
||||
await pool.end();
|
||||
}
|
||||
}
|
||||
|
||||
main().catch(err => {
|
||||
console.error('Fatal error:', err);
|
||||
process.exit(1);
|
||||
});
|
||||
@@ -1,78 +0,0 @@
|
||||
import express from 'express';
|
||||
import cors from 'cors';
|
||||
import dotenv from 'dotenv';
|
||||
import rateLimit from 'express-rate-limit';
|
||||
import { createApiRouter } from './routes/index.js';
|
||||
import path from 'path';
|
||||
import { fileURLToPath } from 'url';
|
||||
|
||||
// Get directory name in ES modules
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
// Load environment variables
|
||||
const envPath = path.resolve(__dirname, '.env');
|
||||
console.log('[Server] Loading .env file from:', envPath);
|
||||
dotenv.config({ path: envPath });
|
||||
|
||||
// Debug environment variables (without exposing sensitive data)
|
||||
console.log('[Server] Environment variables loaded:', {
|
||||
REDIS_HOST: process.env.REDIS_HOST || '(not set)',
|
||||
REDIS_PORT: process.env.REDIS_PORT || '(not set)',
|
||||
REDIS_USERNAME: process.env.REDIS_USERNAME || '(not set)',
|
||||
REDIS_PASSWORD: process.env.REDIS_PASSWORD ? '(set)' : '(not set)',
|
||||
NODE_ENV: process.env.NODE_ENV || '(not set)',
|
||||
});
|
||||
|
||||
const app = express();
|
||||
const port = process.env.KLAVIYO_PORT || 3004;
|
||||
|
||||
// Rate limiting for reporting endpoints
|
||||
const reportingLimiter = rateLimit({
|
||||
windowMs: 10 * 60 * 1000, // 10 minutes
|
||||
max: 10, // limit each IP to 10 requests per windowMs
|
||||
message: 'Too many requests to reporting endpoint, please try again later',
|
||||
keyGenerator: (req) => {
|
||||
// Use a combination of IP and endpoint for more granular control
|
||||
return `${req.ip}-reporting`;
|
||||
},
|
||||
skip: (req) => {
|
||||
// Only apply to campaign-values-reports endpoint
|
||||
return !req.path.includes('campaign-values-reports');
|
||||
}
|
||||
});
|
||||
|
||||
// Middleware
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
|
||||
// Debug middleware to log all requests
|
||||
app.use((req, res, next) => {
|
||||
console.log(`[${new Date().toISOString()}] ${req.method} ${req.url}`);
|
||||
next();
|
||||
});
|
||||
|
||||
// Apply rate limiting to reporting endpoints
|
||||
app.use('/api/klaviyo/reporting', reportingLimiter);
|
||||
|
||||
// Create and mount API routes
|
||||
const apiRouter = createApiRouter(
|
||||
process.env.KLAVIYO_API_KEY,
|
||||
process.env.KLAVIYO_API_REVISION || '2024-02-15'
|
||||
);
|
||||
app.use('/api/klaviyo', apiRouter);
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
console.error('Unhandled error:', err);
|
||||
res.status(500).json({
|
||||
status: 'error',
|
||||
message: 'Internal server error',
|
||||
details: process.env.NODE_ENV === 'development' ? err.message : undefined
|
||||
});
|
||||
});
|
||||
|
||||
// Start server
|
||||
app.listen(port, '0.0.0.0', () => {
|
||||
console.log(`Klaviyo server listening at http://0.0.0.0:${port}`);
|
||||
});
|
||||
@@ -1,206 +0,0 @@
|
||||
import fetch from 'node-fetch';
|
||||
import { TimeManager } from '../utils/time.utils.js';
|
||||
import { RedisService } from './redis.service.js';
|
||||
|
||||
export class CampaignsService {
|
||||
constructor(apiKey, apiRevision) {
|
||||
this.apiKey = apiKey;
|
||||
this.apiRevision = apiRevision;
|
||||
this.baseUrl = 'https://a.klaviyo.com/api';
|
||||
this.timeManager = new TimeManager();
|
||||
this.redisService = new RedisService();
|
||||
}
|
||||
|
||||
async getCampaigns(params = {}) {
|
||||
try {
|
||||
// Add request debouncing
|
||||
const requestKey = JSON.stringify(params);
|
||||
if (this._pendingRequests && this._pendingRequests[requestKey]) {
|
||||
return this._pendingRequests[requestKey];
|
||||
}
|
||||
|
||||
// Try to get from cache first
|
||||
const cacheKey = this.redisService._getCacheKey('campaigns', params);
|
||||
let cachedData = null;
|
||||
try {
|
||||
cachedData = await this.redisService.get(`${cacheKey}:raw`);
|
||||
if (cachedData) {
|
||||
return cachedData;
|
||||
}
|
||||
} catch (cacheError) {
|
||||
console.warn('[CampaignsService] Cache error:', cacheError);
|
||||
}
|
||||
|
||||
this._pendingRequests = this._pendingRequests || {};
|
||||
this._pendingRequests[requestKey] = (async () => {
|
||||
let allCampaigns = [];
|
||||
let nextCursor = params.pageCursor;
|
||||
let pageCount = 0;
|
||||
|
||||
const filter = params.filter || this._buildFilter(params);
|
||||
|
||||
do {
|
||||
const queryParams = new URLSearchParams();
|
||||
if (filter) {
|
||||
queryParams.append('filter', filter);
|
||||
}
|
||||
queryParams.append('sort', params.sort || '-send_time');
|
||||
|
||||
if (nextCursor) {
|
||||
queryParams.append('page[cursor]', nextCursor);
|
||||
}
|
||||
|
||||
const url = `${this.baseUrl}/campaigns?${queryParams.toString()}`;
|
||||
|
||||
try {
|
||||
const response = await fetch(url, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'Accept': 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
'Authorization': `Klaviyo-API-Key ${this.apiKey}`,
|
||||
'revision': this.apiRevision
|
||||
}
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const errorData = await response.json();
|
||||
console.error('[CampaignsService] API Error:', errorData);
|
||||
throw new Error(`Klaviyo API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const responseData = await response.json();
|
||||
allCampaigns = allCampaigns.concat(responseData.data || []);
|
||||
pageCount++;
|
||||
|
||||
nextCursor = responseData.links?.next ?
|
||||
new URL(responseData.links.next).searchParams.get('page[cursor]') : null;
|
||||
|
||||
if (nextCursor) {
|
||||
await new Promise(resolve => setTimeout(resolve, 50));
|
||||
}
|
||||
} catch (fetchError) {
|
||||
console.error('[CampaignsService] Fetch error:', fetchError);
|
||||
throw fetchError;
|
||||
}
|
||||
|
||||
} while (nextCursor);
|
||||
|
||||
const transformedCampaigns = this._transformCampaigns(allCampaigns);
|
||||
|
||||
const result = {
|
||||
data: transformedCampaigns,
|
||||
meta: {
|
||||
total_count: transformedCampaigns.length,
|
||||
page_count: pageCount
|
||||
}
|
||||
};
|
||||
|
||||
try {
|
||||
const ttl = this.redisService._getTTL(params.timeRange);
|
||||
await this.redisService.set(`${cacheKey}:raw`, result, ttl);
|
||||
} catch (cacheError) {
|
||||
console.warn('[CampaignsService] Cache set error:', cacheError);
|
||||
}
|
||||
|
||||
delete this._pendingRequests[requestKey];
|
||||
return result;
|
||||
})();
|
||||
|
||||
return await this._pendingRequests[requestKey];
|
||||
} catch (error) {
|
||||
console.error('[CampaignsService] Error fetching campaigns:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
_buildFilter(params) {
|
||||
const filters = [];
|
||||
|
||||
if (params.startDate && params.endDate) {
|
||||
const startUtc = this.timeManager.formatForAPI(params.startDate);
|
||||
const endUtc = this.timeManager.formatForAPI(params.endDate);
|
||||
|
||||
filters.push(`greater-or-equal(send_time,${startUtc})`);
|
||||
filters.push(`less-than(send_time,${endUtc})`);
|
||||
}
|
||||
|
||||
if (params.status) {
|
||||
filters.push(`equals(status,"${params.status}")`);
|
||||
}
|
||||
|
||||
if (params.customFilters) {
|
||||
filters.push(...params.customFilters);
|
||||
}
|
||||
|
||||
return filters.length > 0 ? (filters.length > 1 ? `and(${filters.join(',')})` : filters[0]) : null;
|
||||
}
|
||||
|
||||
async getCampaignsByTimeRange(timeRange, options = {}) {
|
||||
const range = this.timeManager.getDateRange(timeRange);
|
||||
if (!range) {
|
||||
throw new Error('Invalid time range specified');
|
||||
}
|
||||
|
||||
const params = {
|
||||
timeRange,
|
||||
startDate: range.start.toISO(),
|
||||
endDate: range.end.toISO(),
|
||||
...options
|
||||
};
|
||||
|
||||
// Try to get from cache first
|
||||
const cacheKey = this.redisService._getCacheKey('campaigns', params);
|
||||
let cachedData = null;
|
||||
try {
|
||||
cachedData = await this.redisService.get(`${cacheKey}:raw`);
|
||||
if (cachedData) {
|
||||
return cachedData;
|
||||
}
|
||||
} catch (cacheError) {
|
||||
console.warn('[CampaignsService] Cache error:', cacheError);
|
||||
}
|
||||
|
||||
return this.getCampaigns(params);
|
||||
}
|
||||
|
||||
_transformCampaigns(campaigns) {
|
||||
if (!Array.isArray(campaigns)) {
|
||||
console.warn('[CampaignsService] Campaigns is not an array:', campaigns);
|
||||
return [];
|
||||
}
|
||||
|
||||
return campaigns.map(campaign => {
|
||||
try {
|
||||
const stats = campaign.attributes?.campaign_message?.stats || {};
|
||||
|
||||
return {
|
||||
id: campaign.id,
|
||||
name: campaign.attributes?.name || "Unnamed Campaign",
|
||||
subject: campaign.attributes?.campaign_message?.subject || "",
|
||||
send_time: campaign.attributes?.send_time,
|
||||
stats: {
|
||||
delivery_rate: stats.delivery_rate || 0,
|
||||
delivered: stats.delivered || 0,
|
||||
recipients: stats.recipients || 0,
|
||||
open_rate: stats.open_rate || 0,
|
||||
opens_unique: stats.opens_unique || 0,
|
||||
opens: stats.opens || 0,
|
||||
clicks_unique: stats.clicks_unique || 0,
|
||||
click_rate: stats.click_rate || 0,
|
||||
click_to_open_rate: stats.click_to_open_rate || 0,
|
||||
conversion_value: stats.conversion_value || 0,
|
||||
conversion_uniques: stats.conversion_uniques || 0
|
||||
}
|
||||
};
|
||||
} catch (error) {
|
||||
console.error('[CampaignsService] Error transforming campaign:', error, campaign);
|
||||
return {
|
||||
id: campaign.id || 'unknown',
|
||||
name: 'Error Processing Campaign',
|
||||
stats: {}
|
||||
};
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,38 +0,0 @@
|
||||
import fetch from 'node-fetch';
|
||||
|
||||
export class MetricsService {
|
||||
constructor(apiKey, apiRevision) {
|
||||
this.apiKey = apiKey;
|
||||
this.apiRevision = apiRevision;
|
||||
this.baseUrl = 'https://a.klaviyo.com/api';
|
||||
}
|
||||
async getMetrics() {
|
||||
try {
|
||||
const response = await fetch(`${this.baseUrl}/metrics/`, {
|
||||
headers: {
|
||||
'Authorization': `Klaviyo-API-Key ${this.apiKey}`,
|
||||
'revision': this.apiRevision,
|
||||
'Content-Type': 'application/json',
|
||||
'Accept': 'application/json'
|
||||
}
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const errorData = await response.json();
|
||||
console.error('[MetricsService] API Error:', errorData);
|
||||
throw new Error(`Klaviyo API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
// Sort the results by name before returning
|
||||
if (data.data) {
|
||||
data.data.sort((a, b) => a.attributes.name.localeCompare(b.attributes.name));
|
||||
}
|
||||
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error('[MetricsService] Error fetching metrics:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,262 +0,0 @@
|
||||
import Redis from 'ioredis';
|
||||
import { TimeManager } from '../utils/time.utils.js';
|
||||
import dotenv from 'dotenv';
|
||||
import path from 'path';
|
||||
import { fileURLToPath } from 'url';
|
||||
|
||||
// Get directory name in ES modules
|
||||
const __filename = fileURLToPath(import.meta.url);
|
||||
const __dirname = path.dirname(__filename);
|
||||
|
||||
// Load environment variables again (redundant but safe)
|
||||
const envPath = path.resolve(__dirname, '../.env');
|
||||
console.log('[RedisService] Loading .env file from:', envPath);
|
||||
dotenv.config({ path: envPath });
|
||||
|
||||
export class RedisService {
|
||||
constructor() {
|
||||
this.timeManager = new TimeManager();
|
||||
this.DEFAULT_TTL = 5 * 60; // 5 minutes default TTL
|
||||
this.isConnected = false;
|
||||
this._initializeRedis();
|
||||
}
|
||||
|
||||
_initializeRedis() {
|
||||
try {
|
||||
// Debug: Print all environment variables we're looking for
|
||||
console.log('[RedisService] Environment variables state:', {
|
||||
REDIS_HOST: process.env.REDIS_HOST ? '(set)' : '(not set)',
|
||||
REDIS_PORT: process.env.REDIS_PORT ? '(set)' : '(not set)',
|
||||
REDIS_USERNAME: process.env.REDIS_USERNAME ? '(set)' : '(not set)',
|
||||
REDIS_PASSWORD: process.env.REDIS_PASSWORD ? '(set)' : '(not set)',
|
||||
});
|
||||
|
||||
// Log Redis configuration (without password)
|
||||
const host = process.env.REDIS_HOST || 'localhost';
|
||||
const port = parseInt(process.env.REDIS_PORT) || 6379;
|
||||
const username = process.env.REDIS_USERNAME || 'default';
|
||||
const password = process.env.REDIS_PASSWORD;
|
||||
|
||||
console.log('[RedisService] Initializing Redis with config:', {
|
||||
host,
|
||||
port,
|
||||
username,
|
||||
hasPassword: !!password
|
||||
});
|
||||
|
||||
const config = {
|
||||
host,
|
||||
port,
|
||||
username,
|
||||
retryStrategy: (times) => {
|
||||
const delay = Math.min(times * 50, 2000);
|
||||
return delay;
|
||||
},
|
||||
maxRetriesPerRequest: 3,
|
||||
enableReadyCheck: true,
|
||||
connectTimeout: 10000,
|
||||
showFriendlyErrorStack: true,
|
||||
retryUnfulfilled: true,
|
||||
maxRetryAttempts: 5
|
||||
};
|
||||
|
||||
// Only add password if it exists
|
||||
if (password) {
|
||||
console.log('[RedisService] Adding password to config');
|
||||
config.password = password;
|
||||
} else {
|
||||
console.warn('[RedisService] No Redis password found in environment variables!');
|
||||
}
|
||||
|
||||
this.client = new Redis(config);
|
||||
|
||||
// Handle connection events
|
||||
this.client.on('connect', () => {
|
||||
console.log('[RedisService] Connected to Redis');
|
||||
this.isConnected = true;
|
||||
});
|
||||
|
||||
this.client.on('ready', () => {
|
||||
console.log('[RedisService] Redis is ready');
|
||||
this.isConnected = true;
|
||||
});
|
||||
|
||||
this.client.on('error', (err) => {
|
||||
console.error('[RedisService] Redis error:', err);
|
||||
this.isConnected = false;
|
||||
// Log more details about the error
|
||||
if (err.code === 'WRONGPASS') {
|
||||
console.error('[RedisService] Authentication failed. Please check your Redis password.');
|
||||
}
|
||||
});
|
||||
|
||||
this.client.on('close', () => {
|
||||
console.log('[RedisService] Redis connection closed');
|
||||
this.isConnected = false;
|
||||
});
|
||||
|
||||
this.client.on('reconnecting', (params) => {
|
||||
console.log('[RedisService] Reconnecting to Redis:', params);
|
||||
});
|
||||
|
||||
} catch (error) {
|
||||
console.error('[RedisService] Error initializing Redis:', error);
|
||||
this.isConnected = false;
|
||||
}
|
||||
}
|
||||
|
||||
async get(key) {
|
||||
if (!this.isConnected) {
|
||||
return null;
|
||||
}
|
||||
|
||||
try {
|
||||
const data = await this.client.get(key);
|
||||
return data ? JSON.parse(data) : null;
|
||||
} catch (error) {
|
||||
console.error('[RedisService] Error getting data:', error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async set(key, data, ttl = this.DEFAULT_TTL) {
|
||||
if (!this.isConnected) {
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
await this.client.setex(key, ttl, JSON.stringify(data));
|
||||
} catch (error) {
|
||||
console.error('[RedisService] Error setting data:', error);
|
||||
}
|
||||
}
|
||||
|
||||
// Helper to generate cache keys
|
||||
_getCacheKey(type, params = {}) {
|
||||
const {
|
||||
timeRange,
|
||||
startDate,
|
||||
endDate,
|
||||
metricId,
|
||||
metric,
|
||||
daily,
|
||||
cacheKey,
|
||||
isPreviousPeriod,
|
||||
customFilters
|
||||
} = params;
|
||||
|
||||
let key = `klaviyo:${type}`;
|
||||
|
||||
// Handle "stats:details" for daily or metric-based keys
|
||||
if (type === 'stats:details') {
|
||||
// Add metric to key
|
||||
key += `:${metric || 'all'}`;
|
||||
|
||||
// Add daily flag if present
|
||||
if (daily) {
|
||||
key += ':daily';
|
||||
}
|
||||
|
||||
// Add custom filters hash if present
|
||||
if (customFilters?.length) {
|
||||
const filterHash = customFilters.join('').replace(/[^a-zA-Z0-9]/g, '');
|
||||
key += `:${filterHash}`;
|
||||
}
|
||||
}
|
||||
|
||||
// If a specific cache key is provided, use it (highest priority)
|
||||
if (cacheKey) {
|
||||
key += `:${cacheKey}`;
|
||||
}
|
||||
// Otherwise, build a default cache key
|
||||
else if (timeRange) {
|
||||
key += `:${timeRange}`;
|
||||
if (metricId) {
|
||||
key += `:${metricId}`;
|
||||
}
|
||||
if (isPreviousPeriod) {
|
||||
key += ':prev';
|
||||
}
|
||||
} else if (startDate && endDate) {
|
||||
// For custom date ranges, include both dates in the key
|
||||
key += `:custom:${startDate}:${endDate}`;
|
||||
if (metricId) {
|
||||
key += `:${metricId}`;
|
||||
}
|
||||
if (isPreviousPeriod) {
|
||||
key += ':prev';
|
||||
}
|
||||
}
|
||||
|
||||
// Add order type to key if present
|
||||
if (['pre_orders', 'local_pickup', 'on_hold'].includes(metric)) {
|
||||
key += `:${metric}`;
|
||||
}
|
||||
|
||||
return key;
|
||||
}
|
||||
|
||||
|
||||
// Get TTL based on time range
|
||||
_getTTL(timeRange) {
|
||||
const TTL_MAP = {
|
||||
'today': 2 * 60, // 2 minutes
|
||||
'yesterday': 30 * 60, // 30 minutes
|
||||
'thisWeek': 5 * 60, // 5 minutes
|
||||
'lastWeek': 60 * 60, // 1 hour
|
||||
'thisMonth': 10 * 60, // 10 minutes
|
||||
'lastMonth': 2 * 60 * 60, // 2 hours
|
||||
'last7days': 5 * 60, // 5 minutes
|
||||
'last30days': 15 * 60, // 15 minutes
|
||||
'custom': 15 * 60 // 15 minutes
|
||||
};
|
||||
return TTL_MAP[timeRange] || this.DEFAULT_TTL;
|
||||
}
|
||||
|
||||
async getEventData(type, params) {
|
||||
if (!this.isConnected) {
|
||||
return null;
|
||||
}
|
||||
|
||||
try {
|
||||
const baseKey = this._getCacheKey('events', params);
|
||||
const data = await this.get(`${baseKey}:${type}`);
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error('[RedisService] Error getting event data:', error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async cacheEventData(type, params, data) {
|
||||
if (!this.isConnected) {
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const ttl = this._getTTL(params.timeRange);
|
||||
const baseKey = this._getCacheKey('events', params);
|
||||
|
||||
// Cache raw event data
|
||||
await this.set(`${baseKey}:${type}`, data, ttl);
|
||||
} catch (error) {
|
||||
console.error('[RedisService] Error caching event data:', error);
|
||||
}
|
||||
}
|
||||
|
||||
async clearCache(params = {}) {
|
||||
if (!this.isConnected) {
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const pattern = this._getCacheKey('events', params) + '*';
|
||||
const keys = await this.client.keys(pattern);
|
||||
if (keys.length > 0) {
|
||||
await this.client.del(...keys);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('[RedisService] Error clearing cache:', error);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,254 +0,0 @@
|
||||
import fetch from 'node-fetch';
|
||||
import { TimeManager } from '../utils/time.utils.js';
|
||||
import { RedisService } from './redis.service.js';
|
||||
|
||||
const METRIC_IDS = {
|
||||
PLACED_ORDER: 'Y8cqcF'
|
||||
};
|
||||
|
||||
export class ReportingService {
|
||||
constructor(apiKey, apiRevision) {
|
||||
this.apiKey = apiKey;
|
||||
this.apiRevision = apiRevision;
|
||||
this.baseUrl = 'https://a.klaviyo.com/api';
|
||||
this.timeManager = new TimeManager();
|
||||
this.redisService = new RedisService();
|
||||
this._pendingReportRequest = null;
|
||||
}
|
||||
|
||||
async getCampaignReports(params = {}) {
|
||||
try {
|
||||
// Check if there's a pending request
|
||||
if (this._pendingReportRequest) {
|
||||
console.log('[ReportingService] Using pending campaign report request');
|
||||
return this._pendingReportRequest;
|
||||
}
|
||||
|
||||
// Try to get from cache first
|
||||
const cacheKey = this.redisService._getCacheKey('campaign_reports', params);
|
||||
let cachedData = null;
|
||||
try {
|
||||
cachedData = await this.redisService.get(`${cacheKey}:raw`);
|
||||
if (cachedData) {
|
||||
console.log('[ReportingService] Using cached campaign report data');
|
||||
return cachedData;
|
||||
}
|
||||
} catch (cacheError) {
|
||||
console.warn('[ReportingService] Cache error:', cacheError);
|
||||
}
|
||||
|
||||
// Create new request promise
|
||||
this._pendingReportRequest = (async () => {
|
||||
console.log('[ReportingService] Fetching fresh campaign report data');
|
||||
|
||||
const range = this.timeManager.getDateRange(params.timeRange || 'last30days');
|
||||
|
||||
// Determine which channels to fetch based on params
|
||||
const channelsToFetch = params.channel === 'all' || !params.channel
|
||||
? ['email', 'sms']
|
||||
: [params.channel];
|
||||
|
||||
const allResults = [];
|
||||
|
||||
// Fetch each channel
|
||||
for (const channel of channelsToFetch) {
|
||||
const payload = {
|
||||
data: {
|
||||
type: "campaign-values-report",
|
||||
attributes: {
|
||||
timeframe: {
|
||||
start: range.start.toISO(),
|
||||
end: range.end.toISO()
|
||||
},
|
||||
statistics: [
|
||||
"delivery_rate",
|
||||
"delivered",
|
||||
"recipients",
|
||||
"open_rate",
|
||||
"opens_unique",
|
||||
"opens",
|
||||
"click_rate",
|
||||
"clicks_unique",
|
||||
"click_to_open_rate",
|
||||
"conversion_value",
|
||||
"conversion_uniques"
|
||||
],
|
||||
conversion_metric_id: METRIC_IDS.PLACED_ORDER,
|
||||
filter: `equals(send_channel,"${channel}")`
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const response = await fetch(`${this.baseUrl}/campaign-values-reports`, {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Accept': 'application/json',
|
||||
'Content-Type': 'application/json',
|
||||
'Authorization': `Klaviyo-API-Key ${this.apiKey}`,
|
||||
'revision': this.apiRevision
|
||||
},
|
||||
body: JSON.stringify(payload)
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const errorData = await response.json();
|
||||
console.error('[ReportingService] API Error:', errorData);
|
||||
throw new Error(`Klaviyo API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const reportData = await response.json();
|
||||
console.log(`[ReportingService] Raw ${channel} report data:`, JSON.stringify(reportData, null, 2));
|
||||
|
||||
// Get campaign IDs from the report
|
||||
const campaignIds = reportData.data?.attributes?.results?.map(result =>
|
||||
result.groupings?.campaign_id
|
||||
).filter(Boolean) || [];
|
||||
|
||||
if (campaignIds.length > 0) {
|
||||
// Get campaign details including send time and subject lines
|
||||
const campaignDetails = await this.getCampaignDetails(campaignIds);
|
||||
|
||||
// Process results for this channel
|
||||
const channelResults = reportData.data.attributes.results.map(result => {
|
||||
const campaignId = result.groupings.campaign_id;
|
||||
const details = campaignDetails.find(detail => detail.id === campaignId);
|
||||
|
||||
return {
|
||||
id: campaignId,
|
||||
name: details.attributes.name,
|
||||
subject: details.attributes.subject,
|
||||
send_time: details.attributes.send_time,
|
||||
channel: channel, // Use the channel we're currently processing
|
||||
stats: {
|
||||
delivery_rate: result.statistics.delivery_rate,
|
||||
delivered: result.statistics.delivered,
|
||||
recipients: result.statistics.recipients,
|
||||
open_rate: result.statistics.open_rate,
|
||||
opens_unique: result.statistics.opens_unique,
|
||||
opens: result.statistics.opens,
|
||||
click_rate: result.statistics.click_rate,
|
||||
clicks_unique: result.statistics.clicks_unique,
|
||||
click_to_open_rate: result.statistics.click_to_open_rate,
|
||||
conversion_value: result.statistics.conversion_value,
|
||||
conversion_uniques: result.statistics.conversion_uniques
|
||||
}
|
||||
};
|
||||
});
|
||||
|
||||
allResults.push(...channelResults);
|
||||
}
|
||||
}
|
||||
|
||||
// Sort all results by date
|
||||
const enrichedData = {
|
||||
data: allResults.sort((a, b) => {
|
||||
const dateA = new Date(a.send_time);
|
||||
const dateB = new Date(b.send_time);
|
||||
return dateB - dateA; // Sort by date descending
|
||||
})
|
||||
};
|
||||
|
||||
console.log('[ReportingService] Enriched data:', JSON.stringify(enrichedData, null, 2));
|
||||
|
||||
// Cache the enriched response for 10 minutes
|
||||
try {
|
||||
await this.redisService.set(`${cacheKey}:raw`, enrichedData, 600);
|
||||
} catch (cacheError) {
|
||||
console.warn('[ReportingService] Cache set error:', cacheError);
|
||||
}
|
||||
|
||||
return enrichedData;
|
||||
})();
|
||||
|
||||
const result = await this._pendingReportRequest;
|
||||
this._pendingReportRequest = null;
|
||||
return result;
|
||||
|
||||
} catch (error) {
|
||||
console.error('[ReportingService] Error fetching campaign reports:', error);
|
||||
this._pendingReportRequest = null;
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getCampaignDetails(campaignIds = []) {
|
||||
if (!Array.isArray(campaignIds) || campaignIds.length === 0) {
|
||||
return [];
|
||||
}
|
||||
|
||||
const fetchWithTimeout = async (campaignId, retries = 3) => {
|
||||
for (let i = 0; i < retries; i++) {
|
||||
try {
|
||||
const controller = new AbortController();
|
||||
const timeoutId = setTimeout(() => controller.abort(), 10000); // 10 second timeout
|
||||
|
||||
const response = await fetch(
|
||||
`${this.baseUrl}/campaigns/${campaignId}?include=campaign-messages`,
|
||||
{
|
||||
headers: {
|
||||
'Accept': 'application/json',
|
||||
'Authorization': `Klaviyo-API-Key ${this.apiKey}`,
|
||||
'revision': this.apiRevision
|
||||
},
|
||||
signal: controller.signal
|
||||
}
|
||||
);
|
||||
|
||||
clearTimeout(timeoutId);
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`Failed to fetch campaign ${campaignId}: ${response.status}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
if (!data.data) {
|
||||
throw new Error(`Invalid response for campaign ${campaignId}`);
|
||||
}
|
||||
|
||||
const message = data.included?.find(item => item.type === 'campaign-message');
|
||||
|
||||
console.log('[ReportingService] Campaign details for ID:', campaignId, {
|
||||
send_channel: data.data.attributes.send_channel,
|
||||
raw_attributes: data.data.attributes
|
||||
});
|
||||
|
||||
return {
|
||||
id: data.data.id,
|
||||
type: data.data.type,
|
||||
attributes: {
|
||||
...data.data.attributes,
|
||||
name: data.data.attributes.name,
|
||||
send_time: data.data.attributes.send_time,
|
||||
subject: message?.attributes?.content?.subject,
|
||||
send_channel: data.data.attributes.send_channel || 'email'
|
||||
}
|
||||
};
|
||||
} catch (error) {
|
||||
if (i === retries - 1) throw error;
|
||||
await new Promise(resolve => setTimeout(resolve, 1000 * (i + 1))); // Exponential backoff
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Process in smaller chunks to avoid overwhelming the API
|
||||
const chunkSize = 10;
|
||||
const campaignDetails = [];
|
||||
|
||||
for (let i = 0; i < campaignIds.length; i += chunkSize) {
|
||||
const chunk = campaignIds.slice(i, i + chunkSize);
|
||||
const results = await Promise.all(
|
||||
chunk.map(id => fetchWithTimeout(id).catch(error => {
|
||||
console.error(`Failed to fetch campaign ${id}:`, error);
|
||||
return null;
|
||||
}))
|
||||
);
|
||||
campaignDetails.push(...results.filter(Boolean));
|
||||
|
||||
if (i + chunkSize < campaignIds.length) {
|
||||
await new Promise(resolve => setTimeout(resolve, 1000)); // 1 second delay between chunks
|
||||
}
|
||||
}
|
||||
|
||||
return campaignDetails;
|
||||
}
|
||||
}
|
||||
@@ -1,448 +0,0 @@
|
||||
import { DateTime } from 'luxon';
|
||||
|
||||
export class TimeManager {
|
||||
constructor(dayStartHour = 1) {
|
||||
this.timezone = 'America/New_York';
|
||||
this.dayStartHour = dayStartHour; // Hour (0-23) when the business day starts
|
||||
this.weekStartDay = 7; // 7 = Sunday in Luxon
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the start of the current business day
|
||||
* If current time is before dayStartHour, return previous day at dayStartHour
|
||||
*/
|
||||
getDayStart(dt = this.getNow()) {
|
||||
if (!dt.isValid) {
|
||||
console.error("[TimeManager] Invalid datetime provided to getDayStart");
|
||||
return this.getNow();
|
||||
}
|
||||
const dayStart = dt.set({ hour: this.dayStartHour, minute: 0, second: 0, millisecond: 0 });
|
||||
return dt.hour < this.dayStartHour ? dayStart.minus({ days: 1 }) : dayStart;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the end of the current business day
|
||||
* End is defined as dayStartHour - 1 minute on the next day
|
||||
*/
|
||||
getDayEnd(dt = this.getNow()) {
|
||||
if (!dt.isValid) {
|
||||
console.error("[TimeManager] Invalid datetime provided to getDayEnd");
|
||||
return this.getNow();
|
||||
}
|
||||
const nextDay = this.getDayStart(dt).plus({ days: 1 });
|
||||
return nextDay.minus({ minutes: 1 });
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the start of the week containing the given date
|
||||
* Aligns with custom day start time and starts on Sunday
|
||||
*/
|
||||
getWeekStart(dt = this.getNow()) {
|
||||
if (!dt.isValid) {
|
||||
console.error("[TimeManager] Invalid datetime provided to getWeekStart");
|
||||
return this.getNow();
|
||||
}
|
||||
// Set to start of week (Sunday) and adjust hour
|
||||
const weekStart = dt.set({ weekday: this.weekStartDay }).startOf('day');
|
||||
// If the week start time would be after the given time, go back a week
|
||||
if (weekStart > dt) {
|
||||
return weekStart.minus({ weeks: 1 }).set({ hour: this.dayStartHour });
|
||||
}
|
||||
return weekStart.set({ hour: this.dayStartHour });
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert any date input to a Luxon DateTime in Eastern time
|
||||
*/
|
||||
toDateTime(date) {
|
||||
if (!date) return null;
|
||||
|
||||
if (date instanceof DateTime) {
|
||||
return date.setZone(this.timezone);
|
||||
}
|
||||
|
||||
// If it's an ISO string or Date object, parse it
|
||||
const dt = DateTime.fromISO(date instanceof Date ? date.toISOString() : date);
|
||||
if (!dt.isValid) {
|
||||
console.error("[TimeManager] Invalid date input:", date);
|
||||
return null;
|
||||
}
|
||||
|
||||
return dt.setZone(this.timezone);
|
||||
}
|
||||
|
||||
/**
|
||||
* Format a date for API requests (UTC ISO string)
|
||||
*/
|
||||
formatForAPI(date) {
|
||||
if (!date) return null;
|
||||
|
||||
// Parse the input date
|
||||
const dt = this.toDateTime(date);
|
||||
if (!dt || !dt.isValid) {
|
||||
console.error("[TimeManager] Invalid date for API:", date);
|
||||
return null;
|
||||
}
|
||||
|
||||
// Convert to UTC for API request
|
||||
const utc = dt.toUTC();
|
||||
|
||||
console.log("[TimeManager] API date conversion:", {
|
||||
input: date,
|
||||
eastern: dt.toISO(),
|
||||
utc: utc.toISO(),
|
||||
offset: dt.offset
|
||||
});
|
||||
|
||||
return utc.toISO();
|
||||
}
|
||||
|
||||
/**
|
||||
* Format a date for display (in Eastern time)
|
||||
*/
|
||||
formatForDisplay(date) {
|
||||
const dt = this.toDateTime(date);
|
||||
if (!dt || !dt.isValid) return '';
|
||||
return dt.toFormat('LLL d, yyyy h:mm a');
|
||||
}
|
||||
|
||||
/**
|
||||
* Validate if a date range is valid
|
||||
*/
|
||||
isValidDateRange(start, end) {
|
||||
const startDt = this.toDateTime(start);
|
||||
const endDt = this.toDateTime(end);
|
||||
return startDt && endDt && endDt > startDt;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the current time in Eastern timezone
|
||||
*/
|
||||
getNow() {
|
||||
return DateTime.now().setZone(this.timezone);
|
||||
}
|
||||
|
||||
/**
|
||||
* Get a date range for the last N hours
|
||||
*/
|
||||
getLastNHours(hours) {
|
||||
const now = this.getNow();
|
||||
return {
|
||||
start: now.minus({ hours }),
|
||||
end: now
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Get a date range for the last N days
|
||||
* Aligns with custom day start time
|
||||
*/
|
||||
getLastNDays(days) {
|
||||
const now = this.getNow();
|
||||
const dayStart = this.getDayStart(now);
|
||||
return {
|
||||
start: dayStart.minus({ days }),
|
||||
end: this.getDayEnd(now)
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Get a date range for a specific time period
|
||||
* All ranges align with custom day start time
|
||||
*/
|
||||
getDateRange(period) {
|
||||
const now = this.getNow();
|
||||
|
||||
// Normalize period to handle both 'last' and 'previous' prefixes
|
||||
const normalizedPeriod = period.startsWith('previous') ? period.replace('previous', 'last') : period;
|
||||
|
||||
switch (normalizedPeriod) {
|
||||
case 'custom': {
|
||||
// Custom ranges are handled separately via getCustomRange
|
||||
console.warn('[TimeManager] Custom ranges should use getCustomRange method');
|
||||
return null;
|
||||
}
|
||||
case 'today': {
|
||||
const dayStart = this.getDayStart(now);
|
||||
return {
|
||||
start: dayStart,
|
||||
end: this.getDayEnd(now)
|
||||
};
|
||||
}
|
||||
case 'yesterday': {
|
||||
const yesterday = now.minus({ days: 1 });
|
||||
return {
|
||||
start: this.getDayStart(yesterday),
|
||||
end: this.getDayEnd(yesterday)
|
||||
};
|
||||
}
|
||||
case 'last7days': {
|
||||
// For last 7 days, we want to include today and the previous 6 days
|
||||
const dayStart = this.getDayStart(now);
|
||||
const weekStart = dayStart.minus({ days: 6 });
|
||||
return {
|
||||
start: weekStart,
|
||||
end: this.getDayEnd(now)
|
||||
};
|
||||
}
|
||||
case 'last30days': {
|
||||
// Include today and previous 29 days
|
||||
const dayStart = this.getDayStart(now);
|
||||
const monthStart = dayStart.minus({ days: 29 });
|
||||
return {
|
||||
start: monthStart,
|
||||
end: this.getDayEnd(now)
|
||||
};
|
||||
}
|
||||
case 'last90days': {
|
||||
// Include today and previous 89 days
|
||||
const dayStart = this.getDayStart(now);
|
||||
const start = dayStart.minus({ days: 89 });
|
||||
return {
|
||||
start,
|
||||
end: this.getDayEnd(now)
|
||||
};
|
||||
}
|
||||
case 'thisWeek': {
|
||||
// Get the start of the week (Sunday) with custom hour
|
||||
const weekStart = this.getWeekStart(now);
|
||||
return {
|
||||
start: weekStart,
|
||||
end: this.getDayEnd(now)
|
||||
};
|
||||
}
|
||||
case 'lastWeek': {
|
||||
const lastWeek = now.minus({ weeks: 1 });
|
||||
const weekStart = this.getWeekStart(lastWeek);
|
||||
const weekEnd = weekStart.plus({ days: 6 }); // 6 days after start = Saturday
|
||||
return {
|
||||
start: weekStart,
|
||||
end: this.getDayEnd(weekEnd)
|
||||
};
|
||||
}
|
||||
case 'thisMonth': {
|
||||
const dayStart = this.getDayStart(now);
|
||||
const monthStart = dayStart.startOf('month').set({ hour: this.dayStartHour });
|
||||
return {
|
||||
start: monthStart,
|
||||
end: this.getDayEnd(now)
|
||||
};
|
||||
}
|
||||
case 'lastMonth': {
|
||||
const lastMonth = now.minus({ months: 1 });
|
||||
const monthStart = lastMonth.startOf('month').set({ hour: this.dayStartHour });
|
||||
const monthEnd = monthStart.plus({ months: 1 }).minus({ days: 1 });
|
||||
return {
|
||||
start: monthStart,
|
||||
end: this.getDayEnd(monthEnd)
|
||||
};
|
||||
}
|
||||
default:
|
||||
console.warn(`[TimeManager] Unknown period: ${period}`);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Format a duration in milliseconds to a human-readable string
|
||||
*/
|
||||
formatDuration(ms) {
|
||||
return DateTime.fromMillis(ms).toFormat("hh'h' mm'm' ss's'");
|
||||
}
|
||||
|
||||
/**
|
||||
* Get relative time string (e.g., "2 hours ago")
|
||||
*/
|
||||
getRelativeTime(date) {
|
||||
const dt = this.toDateTime(date);
|
||||
if (!dt) return '';
|
||||
return dt.toRelative();
|
||||
}
|
||||
|
||||
/**
|
||||
* Get a custom date range using exact dates and times provided
|
||||
* @param {string} startDate - ISO string or Date for range start
|
||||
* @param {string} endDate - ISO string or Date for range end
|
||||
* @returns {Object} Object with start and end DateTime objects
|
||||
*/
|
||||
getCustomRange(startDate, endDate) {
|
||||
if (!startDate || !endDate) {
|
||||
console.error("[TimeManager] Custom range requires both start and end dates");
|
||||
return null;
|
||||
}
|
||||
|
||||
const start = this.toDateTime(startDate);
|
||||
const end = this.toDateTime(endDate);
|
||||
|
||||
if (!start || !end || !start.isValid || !end.isValid) {
|
||||
console.error("[TimeManager] Invalid dates provided for custom range");
|
||||
return null;
|
||||
}
|
||||
|
||||
// Validate the range
|
||||
if (end < start) {
|
||||
console.error("[TimeManager] End date must be after start date");
|
||||
return null;
|
||||
}
|
||||
|
||||
return {
|
||||
start,
|
||||
end
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the previous period's date range based on the current period
|
||||
* @param {string} period - The current period
|
||||
* @param {DateTime} now - The current datetime (optional)
|
||||
* @returns {Object} Object with start and end DateTime objects
|
||||
*/
|
||||
getPreviousPeriod(period, now = this.getNow()) {
|
||||
const normalizedPeriod = period.startsWith('previous') ? period.replace('previous', 'last') : period;
|
||||
|
||||
switch (normalizedPeriod) {
|
||||
case 'today': {
|
||||
const yesterday = now.minus({ days: 1 });
|
||||
return {
|
||||
start: this.getDayStart(yesterday),
|
||||
end: this.getDayEnd(yesterday)
|
||||
};
|
||||
}
|
||||
case 'yesterday': {
|
||||
const twoDaysAgo = now.minus({ days: 2 });
|
||||
return {
|
||||
start: this.getDayStart(twoDaysAgo),
|
||||
end: this.getDayEnd(twoDaysAgo)
|
||||
};
|
||||
}
|
||||
case 'last7days': {
|
||||
const dayStart = this.getDayStart(now);
|
||||
const currentStart = dayStart.minus({ days: 6 });
|
||||
const prevEnd = currentStart.minus({ milliseconds: 1 });
|
||||
const prevStart = prevEnd.minus({ days: 6 });
|
||||
return {
|
||||
start: prevStart,
|
||||
end: prevEnd
|
||||
};
|
||||
}
|
||||
case 'last30days': {
|
||||
const dayStart = this.getDayStart(now);
|
||||
const currentStart = dayStart.minus({ days: 29 });
|
||||
const prevEnd = currentStart.minus({ milliseconds: 1 });
|
||||
const prevStart = prevEnd.minus({ days: 29 });
|
||||
return {
|
||||
start: prevStart,
|
||||
end: prevEnd
|
||||
};
|
||||
}
|
||||
case 'last90days': {
|
||||
const dayStart = this.getDayStart(now);
|
||||
const currentStart = dayStart.minus({ days: 89 });
|
||||
const prevEnd = currentStart.minus({ milliseconds: 1 });
|
||||
const prevStart = prevEnd.minus({ days: 89 });
|
||||
return {
|
||||
start: prevStart,
|
||||
end: prevEnd
|
||||
};
|
||||
}
|
||||
case 'thisWeek': {
|
||||
const weekStart = this.getWeekStart(now);
|
||||
const prevEnd = weekStart.minus({ milliseconds: 1 });
|
||||
const prevStart = this.getWeekStart(prevEnd);
|
||||
return {
|
||||
start: prevStart,
|
||||
end: prevEnd
|
||||
};
|
||||
}
|
||||
case 'lastWeek': {
|
||||
const lastWeekStart = this.getWeekStart(now.minus({ weeks: 1 }));
|
||||
const prevEnd = lastWeekStart.minus({ milliseconds: 1 });
|
||||
const prevStart = this.getWeekStart(prevEnd);
|
||||
return {
|
||||
start: prevStart,
|
||||
end: prevEnd
|
||||
};
|
||||
}
|
||||
case 'thisMonth': {
|
||||
const monthStart = now.startOf('month').set({ hour: this.dayStartHour });
|
||||
const prevEnd = monthStart.minus({ milliseconds: 1 });
|
||||
const prevStart = prevEnd.startOf('month').set({ hour: this.dayStartHour });
|
||||
return {
|
||||
start: prevStart,
|
||||
end: prevEnd
|
||||
};
|
||||
}
|
||||
case 'lastMonth': {
|
||||
const lastMonthStart = now.minus({ months: 1 }).startOf('month').set({ hour: this.dayStartHour });
|
||||
const prevEnd = lastMonthStart.minus({ milliseconds: 1 });
|
||||
const prevStart = prevEnd.startOf('month').set({ hour: this.dayStartHour });
|
||||
return {
|
||||
start: prevStart,
|
||||
end: prevEnd
|
||||
};
|
||||
}
|
||||
default:
|
||||
console.warn(`[TimeManager] No previous period defined for: ${period}`);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
groupEventsByInterval(events, interval = 'day', property = null) {
|
||||
if (!events?.length) return [];
|
||||
|
||||
const groupedData = new Map();
|
||||
const now = DateTime.now().setZone('America/New_York');
|
||||
|
||||
for (const event of events) {
|
||||
const datetime = DateTime.fromISO(event.attributes.datetime);
|
||||
let groupKey;
|
||||
|
||||
switch (interval) {
|
||||
case 'hour':
|
||||
groupKey = datetime.startOf('hour').toISO();
|
||||
break;
|
||||
case 'day':
|
||||
groupKey = datetime.startOf('day').toISO();
|
||||
break;
|
||||
case 'week':
|
||||
groupKey = datetime.startOf('week').toISO();
|
||||
break;
|
||||
case 'month':
|
||||
groupKey = datetime.startOf('month').toISO();
|
||||
break;
|
||||
default:
|
||||
groupKey = datetime.startOf('day').toISO();
|
||||
}
|
||||
|
||||
const existingGroup = groupedData.get(groupKey) || {
|
||||
datetime: groupKey,
|
||||
count: 0,
|
||||
value: 0
|
||||
};
|
||||
|
||||
existingGroup.count++;
|
||||
|
||||
if (property) {
|
||||
// Extract property value from event
|
||||
const props = event.attributes?.event_properties || event.attributes?.properties || {};
|
||||
let value = 0;
|
||||
|
||||
if (property === '$value') {
|
||||
// Special case for $value - use event value
|
||||
value = Number(event.attributes?.value || 0);
|
||||
} else {
|
||||
// Otherwise get from properties
|
||||
value = Number(props[property] || 0);
|
||||
}
|
||||
|
||||
existingGroup.value = (existingGroup.value || 0) + value;
|
||||
}
|
||||
|
||||
groupedData.set(groupKey, existingGroup);
|
||||
}
|
||||
|
||||
// Convert to array and sort by datetime
|
||||
return Array.from(groupedData.values())
|
||||
.sort((a, b) => DateTime.fromISO(a.datetime) - DateTime.fromISO(b.datetime));
|
||||
}
|
||||
}
|
||||
967
inventory-server/dashboard/meta-server/package-lock.json
generated
967
inventory-server/dashboard/meta-server/package-lock.json
generated
@@ -1,967 +0,0 @@
|
||||
{
|
||||
"name": "meta-server",
|
||||
"version": "1.0.0",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "meta-server",
|
||||
"version": "1.0.0",
|
||||
"license": "ISC",
|
||||
"dependencies": {
|
||||
"axios": "^1.7.9",
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.4.7",
|
||||
"express": "^4.21.2"
|
||||
}
|
||||
},
|
||||
"node_modules/accepts": {
|
||||
"version": "1.3.8",
|
||||
"resolved": "https://registry.npmjs.org/accepts/-/accepts-1.3.8.tgz",
|
||||
"integrity": "sha512-PYAthTa2m2VKxuvSD3DPC/Gy+U+sOA1LAuT8mkmRuvw+NACSaeXEQ+NHcVF7rONl6qcaxV3Uuemwawk+7+SJLw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"mime-types": "~2.1.34",
|
||||
"negotiator": "0.6.3"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.6"
|
||||
}
|
||||
},
|
||||
"node_modules/array-flatten": {
|
||||
"version": "1.1.1",
|
||||
"resolved": "https://registry.npmjs.org/array-flatten/-/array-flatten-1.1.1.tgz",
|
||||
"integrity": "sha512-PCVAQswWemu6UdxsDFFX/+gVeYqKAod3D3UVm91jHwynguOwAvYPhx8nNlM++NqRcK6CxxpUafjmhIdKiHibqg==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/asynckit": {
|
||||
"version": "0.4.0",
|
||||
"resolved": "https://registry.npmjs.org/asynckit/-/asynckit-0.4.0.tgz",
|
||||
"integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q==",
|
||||
"license": "MIT"
|
||||
},
|
||||
"node_modules/axios": {
|
||||
"version": "1.12.2",
|
||||
"resolved": "https://registry.npmjs.org/axios/-/axios-1.12.2.tgz",
|
||||
"integrity": "sha512-vMJzPewAlRyOgxV2dU0Cuz2O8zzzx9VYtbJOaBgXFeLc4IV/Eg50n4LowmehOOR61S8ZMpc2K5Sa7g6A4jfkUw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"follow-redirects": "^1.15.6",
|
||||
"form-data": "^4.0.4",
|
||||
"proxy-from-env": "^1.1.0"
|
||||
}
|
||||
},
|
||||
"node_modules/body-parser": {
|
||||
"version": "1.20.3",
|
||||
"resolved": "https://registry.npmjs.org/body-parser/-/body-parser-1.20.3.tgz",
|
||||
"integrity": "sha512-7rAxByjUMqQ3/bHJy7D6OGXvx/MMc4IqBn/X0fcM1QUcAItpZrBEYhWGem+tzXH90c+G01ypMcYJBO9Y30203g==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"bytes": "3.1.2",
|
||||
"content-type": "~1.0.5",
|
||||
"debug": "2.6.9",
|
||||
"depd": "2.0.0",
|
||||
"destroy": "1.2.0",
|
||||
"http-errors": "2.0.0",
|
||||
"iconv-lite": "0.4.24",
|
||||
"on-finished": "2.4.1",
|
||||
"qs": "6.13.0",
|
||||
"raw-body": "2.5.2",
|
||||
"type-is": "~1.6.18",
|
||||
"unpipe": "1.0.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.8",
|
||||
"npm": "1.2.8000 || >= 1.4.16"
|
||||
}
|
||||
},
|
||||
"node_modules/bytes": {
|
||||
"version": "3.1.2",
|
||||
"resolved": "https://registry.npmjs.org/bytes/-/bytes-3.1.2.tgz",
|
||||
"integrity": "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.8"
|
||||
}
|
||||
},
|
||||
"node_modules/call-bind-apply-helpers": {
|
||||
"version": "1.0.1",
|
||||
"resolved": "https://registry.npmjs.org/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.1.tgz",
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||||
"integrity": "sha512-BhYE+WDaywFg2TBWYNXAE+8B1ATnThNBqXHP5nQu0jWJdVvY2hvkpyB3qOmtmDePiS5/BDQ8wASEWGMWRG148g==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"es-errors": "^1.3.0",
|
||||
"function-bind": "^1.1.2"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.4"
|
||||
}
|
||||
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|
||||
"node_modules/call-bound": {
|
||||
"version": "1.0.3",
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||||
"resolved": "https://registry.npmjs.org/call-bound/-/call-bound-1.0.3.tgz",
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||||
"integrity": "sha512-YTd+6wGlNlPxSuri7Y6X8tY2dmm12UMH66RpKMhiX6rsk5wXXnYgbUcOt8kiS31/AjfoTOvCsE+w8nZQLQnzHA==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"call-bind-apply-helpers": "^1.0.1",
|
||||
"get-intrinsic": "^1.2.6"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.4"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/combined-stream": {
|
||||
"version": "1.0.8",
|
||||
"resolved": "https://registry.npmjs.org/combined-stream/-/combined-stream-1.0.8.tgz",
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||||
"integrity": "sha512-FQN4MRfuJeHf7cBbBMJFXhKSDq+2kAArBlmRBvcvFE5BB1HZKXtSFASDhdlz9zOYwxh8lDdnvmMOe/+5cdoEdg==",
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||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"delayed-stream": "~1.0.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.8"
|
||||
}
|
||||
},
|
||||
"node_modules/content-disposition": {
|
||||
"version": "0.5.4",
|
||||
"resolved": "https://registry.npmjs.org/content-disposition/-/content-disposition-0.5.4.tgz",
|
||||
"integrity": "sha512-FveZTNuGw04cxlAiWbzi6zTAL/lhehaWbTtgluJh4/E95DqMwTmha3KZN1aAWA8cFIhHzMZUvLevkw5Rqk+tSQ==",
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||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"safe-buffer": "5.2.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.6"
|
||||
}
|
||||
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|
||||
"node_modules/content-type": {
|
||||
"version": "1.0.5",
|
||||
"resolved": "https://registry.npmjs.org/content-type/-/content-type-1.0.5.tgz",
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"license": "MIT",
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||||
"engines": {
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"license": "MIT",
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||||
"engines": {
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||||
"node": ">= 0.6"
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||||
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|
||||
},
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||||
"node_modules/cookie-signature": {
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||||
"version": "1.0.6",
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||||
"resolved": "https://registry.npmjs.org/cookie-signature/-/cookie-signature-1.0.6.tgz",
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"integrity": "sha512-QADzlaHc8icV8I7vbaJXJwod9HWYp8uCqf1xa4OfNu1T7JVxQIrUgOWtHdNDtPiywmFbiS12VjotIXLrKM3orQ==",
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||||
"license": "MIT"
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||||
},
|
||||
"node_modules/cors": {
|
||||
"version": "2.8.5",
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||||
"resolved": "https://registry.npmjs.org/cors/-/cors-2.8.5.tgz",
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"integrity": "sha512-KIHbLJqu73RGr/hnbrO9uBeixNGuvSQjul/jdFvS/KFSIH1hWVd1ng7zOHx+YrEfInLG7q4n6GHQ9cDtxv/P6g==",
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"license": "MIT",
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||||
"dependencies": {
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||||
"object-assign": "^4",
|
||||
"vary": "^1"
|
||||
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|
||||
"engines": {
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||||
"node": ">= 0.10"
|
||||
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|
||||
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||||
"node_modules/debug": {
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"version": "2.6.9",
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"resolved": "https://registry.npmjs.org/debug/-/debug-2.6.9.tgz",
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"integrity": "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==",
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"license": "MIT",
|
||||
"dependencies": {
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||||
"ms": "2.0.0"
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||||
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|
||||
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|
||||
"node_modules/delayed-stream": {
|
||||
"version": "1.0.0",
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|
||||
"resolved": "https://registry.npmjs.org/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz",
|
||||
"integrity": "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"call-bound": "^1.0.2",
|
||||
"es-errors": "^1.3.0",
|
||||
"get-intrinsic": "^1.2.5",
|
||||
"object-inspect": "^1.13.3",
|
||||
"side-channel-map": "^1.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.4"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/ljharb"
|
||||
}
|
||||
},
|
||||
"node_modules/statuses": {
|
||||
"version": "2.0.1",
|
||||
"resolved": "https://registry.npmjs.org/statuses/-/statuses-2.0.1.tgz",
|
||||
"integrity": "sha512-RwNA9Z/7PrK06rYLIzFMlaF+l73iwpzsqRIFgbMLbTcLD6cOao82TaWefPXQvB2fOC4AjuYSEndS7N/mTCbkdQ==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.8"
|
||||
}
|
||||
},
|
||||
"node_modules/toidentifier": {
|
||||
"version": "1.0.1",
|
||||
"resolved": "https://registry.npmjs.org/toidentifier/-/toidentifier-1.0.1.tgz",
|
||||
"integrity": "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=0.6"
|
||||
}
|
||||
},
|
||||
"node_modules/type-is": {
|
||||
"version": "1.6.18",
|
||||
"resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz",
|
||||
"integrity": "sha512-TkRKr9sUTxEH8MdfuCSP7VizJyzRNMjj2J2do2Jr3Kym598JVdEksuzPQCnlFPW4ky9Q+iA+ma9BGm06XQBy8g==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"media-typer": "0.3.0",
|
||||
"mime-types": "~2.1.24"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 0.6"
|
||||
}
|
||||
},
|
||||
"node_modules/unpipe": {
|
||||
"version": "1.0.0",
|
||||
"resolved": "https://registry.npmjs.org/unpipe/-/unpipe-1.0.0.tgz",
|
||||
"integrity": "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.8"
|
||||
}
|
||||
},
|
||||
"node_modules/utils-merge": {
|
||||
"version": "1.0.1",
|
||||
"resolved": "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz",
|
||||
"integrity": "sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.4.0"
|
||||
}
|
||||
},
|
||||
"node_modules/vary": {
|
||||
"version": "1.1.2",
|
||||
"resolved": "https://registry.npmjs.org/vary/-/vary-1.1.2.tgz",
|
||||
"integrity": "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 0.8"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,20 +0,0 @@
|
||||
{
|
||||
"name": "meta-server",
|
||||
"version": "1.0.0",
|
||||
"main": "index.js",
|
||||
"scripts": {
|
||||
"test": "echo \"Error: no test specified\" && exit 1",
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"keywords": [],
|
||||
"author": "",
|
||||
"license": "ISC",
|
||||
"description": "",
|
||||
"dependencies": {
|
||||
"axios": "^1.7.9",
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.4.7",
|
||||
"express": "^4.21.2"
|
||||
}
|
||||
}
|
||||
@@ -1,91 +0,0 @@
|
||||
const express = require('express');
|
||||
const router = express.Router();
|
||||
const {
|
||||
fetchCampaigns,
|
||||
fetchAccountInsights,
|
||||
updateCampaignBudget,
|
||||
updateCampaignStatus,
|
||||
} = require('../services/meta.service');
|
||||
|
||||
// Get all campaigns with insights
|
||||
router.get('/campaigns', async (req, res) => {
|
||||
try {
|
||||
const { since, until } = req.query;
|
||||
|
||||
if (!since || !until) {
|
||||
return res.status(400).json({ error: 'Date range is required (since, until)' });
|
||||
}
|
||||
|
||||
const campaigns = await fetchCampaigns(since, until);
|
||||
res.json(campaigns);
|
||||
} catch (error) {
|
||||
console.error('Campaign fetch error:', error);
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch campaigns',
|
||||
details: error.response?.data?.error?.message || error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get account insights
|
||||
router.get('/account-insights', async (req, res) => {
|
||||
try {
|
||||
const { since, until } = req.query;
|
||||
|
||||
if (!since || !until) {
|
||||
return res.status(400).json({ error: 'Date range is required (since, until)' });
|
||||
}
|
||||
|
||||
const insights = await fetchAccountInsights(since, until);
|
||||
res.json(insights);
|
||||
} catch (error) {
|
||||
console.error('Account insights fetch error:', error);
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch account insights',
|
||||
details: error.response?.data?.error?.message || error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Update campaign budget
|
||||
router.patch('/campaigns/:campaignId/budget', async (req, res) => {
|
||||
try {
|
||||
const { campaignId } = req.params;
|
||||
const { budget } = req.body;
|
||||
|
||||
if (!budget) {
|
||||
return res.status(400).json({ error: 'Budget is required' });
|
||||
}
|
||||
|
||||
const result = await updateCampaignBudget(campaignId, budget);
|
||||
res.json(result);
|
||||
} catch (error) {
|
||||
console.error('Budget update error:', error);
|
||||
res.status(500).json({
|
||||
error: 'Failed to update campaign budget',
|
||||
details: error.response?.data?.error?.message || error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Update campaign status (pause/unpause)
|
||||
router.post('/campaigns/:campaignId/:action', async (req, res) => {
|
||||
try {
|
||||
const { campaignId, action } = req.params;
|
||||
|
||||
if (!['pause', 'unpause'].includes(action)) {
|
||||
return res.status(400).json({ error: 'Invalid action. Use "pause" or "unpause"' });
|
||||
}
|
||||
|
||||
const result = await updateCampaignStatus(campaignId, action);
|
||||
res.json(result);
|
||||
} catch (error) {
|
||||
console.error('Status update error:', error);
|
||||
res.status(500).json({
|
||||
error: 'Failed to update campaign status',
|
||||
details: error.response?.data?.error?.message || error.message,
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,31 +0,0 @@
|
||||
const express = require('express');
|
||||
const cors = require('cors');
|
||||
const path = require('path');
|
||||
require('dotenv').config({
|
||||
path: path.resolve(__dirname, '.env')
|
||||
});
|
||||
|
||||
const app = express();
|
||||
const port = process.env.PORT || 3005;
|
||||
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
|
||||
// Import routes
|
||||
const campaignRoutes = require('./routes/campaigns.routes');
|
||||
|
||||
// Use routes
|
||||
app.use('/api/meta', campaignRoutes);
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
console.error(err.stack);
|
||||
res.status(500).json({ error: 'Something went wrong!' });
|
||||
});
|
||||
|
||||
// Start server
|
||||
app.listen(port, () => {
|
||||
console.log(`Meta API server running on port ${port}`);
|
||||
});
|
||||
|
||||
module.exports = app;
|
||||
@@ -1,99 +0,0 @@
|
||||
const { default: axios } = require('axios');
|
||||
|
||||
const META_API_VERSION = process.env.META_API_VERSION || 'v21.0';
|
||||
const META_API_BASE_URL = `https://graph.facebook.com/${META_API_VERSION}`;
|
||||
const META_ACCESS_TOKEN = process.env.META_ACCESS_TOKEN;
|
||||
const AD_ACCOUNT_ID = process.env.META_AD_ACCOUNT_ID;
|
||||
|
||||
const metaApiRequest = async (endpoint, params = {}) => {
|
||||
try {
|
||||
const response = await axios.get(`${META_API_BASE_URL}/${endpoint}`, {
|
||||
params: {
|
||||
access_token: META_ACCESS_TOKEN,
|
||||
time_zone: 'America/New_York',
|
||||
...params,
|
||||
},
|
||||
});
|
||||
return response.data;
|
||||
} catch (error) {
|
||||
console.error('Meta API Error:', {
|
||||
message: error.message,
|
||||
response: error.response?.data,
|
||||
endpoint,
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
};
|
||||
|
||||
const fetchCampaigns = async (since, until) => {
|
||||
const campaigns = await metaApiRequest(`act_${AD_ACCOUNT_ID}/campaigns`, {
|
||||
fields: [
|
||||
'id',
|
||||
'name',
|
||||
'status',
|
||||
'objective',
|
||||
'daily_budget',
|
||||
'lifetime_budget',
|
||||
'adsets{daily_budget,lifetime_budget}',
|
||||
`insights.time_range({'since':'${since}','until':'${until}'}).level(campaign){
|
||||
spend,
|
||||
impressions,
|
||||
clicks,
|
||||
ctr,
|
||||
reach,
|
||||
frequency,
|
||||
cpm,
|
||||
cpc,
|
||||
actions,
|
||||
action_values,
|
||||
cost_per_action_type
|
||||
}`,
|
||||
].join(','),
|
||||
limit: 100,
|
||||
});
|
||||
|
||||
return campaigns.data.filter(c => c.insights?.data?.[0]?.spend > 0);
|
||||
};
|
||||
|
||||
const fetchAccountInsights = async (since, until) => {
|
||||
const accountInsights = await metaApiRequest(`act_${AD_ACCOUNT_ID}/insights`, {
|
||||
fields: 'reach,spend,impressions,clicks,ctr,cpm,actions,action_values',
|
||||
time_range: JSON.stringify({ since, until }),
|
||||
});
|
||||
|
||||
return accountInsights.data[0] || null;
|
||||
};
|
||||
|
||||
const updateCampaignBudget = async (campaignId, budget) => {
|
||||
try {
|
||||
const response = await axios.post(`${META_API_BASE_URL}/${campaignId}`, {
|
||||
access_token: META_ACCESS_TOKEN,
|
||||
daily_budget: budget * 100, // Convert to cents
|
||||
});
|
||||
return response.data;
|
||||
} catch (error) {
|
||||
console.error('Update campaign budget error:', error);
|
||||
throw error;
|
||||
}
|
||||
};
|
||||
|
||||
const updateCampaignStatus = async (campaignId, action) => {
|
||||
try {
|
||||
const status = action === 'pause' ? 'PAUSED' : 'ACTIVE';
|
||||
const response = await axios.post(`${META_API_BASE_URL}/${campaignId}`, {
|
||||
access_token: META_ACCESS_TOKEN,
|
||||
status,
|
||||
});
|
||||
return response.data;
|
||||
} catch (error) {
|
||||
console.error('Update campaign status error:', error);
|
||||
throw error;
|
||||
}
|
||||
};
|
||||
|
||||
module.exports = {
|
||||
fetchCampaigns,
|
||||
fetchAccountInsights,
|
||||
updateCampaignBudget,
|
||||
updateCampaignStatus,
|
||||
};
|
||||
24
inventory-server/dashboard/package-lock.json
generated
24
inventory-server/dashboard/package-lock.json
generated
@@ -1,24 +0,0 @@
|
||||
{
|
||||
"name": "dashboard",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"dependencies": {
|
||||
"dotenv": "^16.4.7"
|
||||
}
|
||||
},
|
||||
"node_modules/dotenv": {
|
||||
"version": "16.4.7",
|
||||
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.4.7.tgz",
|
||||
"integrity": "sha512-47qPchRCykZC03FhkYAhrvwU4xDBFIj1QPqaarj6mdM/hgUzfPHcpkHJOn3mJAufFeeAxAzeGsr5X0M4k6fLZQ==",
|
||||
"license": "BSD-2-Clause",
|
||||
"engines": {
|
||||
"node": ">=12"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://dotenvx.com"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,5 +0,0 @@
|
||||
{
|
||||
"dependencies": {
|
||||
"dotenv": "^16.4.7"
|
||||
}
|
||||
}
|
||||
@@ -1,13 +0,0 @@
|
||||
# Server Configuration
|
||||
NODE_ENV=development
|
||||
TYPEFORM_PORT=3008
|
||||
|
||||
# Redis Configuration
|
||||
REDIS_URL=redis://localhost:6379
|
||||
|
||||
# Typeform API Configuration
|
||||
TYPEFORM_ACCESS_TOKEN=your_typeform_access_token_here
|
||||
|
||||
# Optional: Form IDs (if you want to store them in env)
|
||||
TYPEFORM_FORM_ID_1=your_first_form_id
|
||||
TYPEFORM_FORM_ID_2=your_second_form_id
|
||||
1443
inventory-server/dashboard/typeform-server/package-lock.json
generated
1443
inventory-server/dashboard/typeform-server/package-lock.json
generated
File diff suppressed because it is too large
Load Diff
@@ -1,20 +0,0 @@
|
||||
{
|
||||
"name": "typeform-server",
|
||||
"version": "1.0.0",
|
||||
"description": "Typeform API integration server",
|
||||
"main": "server.js",
|
||||
"scripts": {
|
||||
"start": "node server.js",
|
||||
"dev": "nodemon server.js"
|
||||
},
|
||||
"dependencies": {
|
||||
"axios": "^1.6.2",
|
||||
"cors": "^2.8.5",
|
||||
"dotenv": "^16.3.1",
|
||||
"express": "^4.18.2",
|
||||
"redis": "^4.6.11"
|
||||
},
|
||||
"devDependencies": {
|
||||
"nodemon": "^3.0.2"
|
||||
}
|
||||
}
|
||||
@@ -1,121 +0,0 @@
|
||||
const express = require('express');
|
||||
const router = express.Router();
|
||||
const typeformService = require('../services/typeform.service');
|
||||
|
||||
// Get form responses
|
||||
router.get('/forms/:formId/responses', async (req, res) => {
|
||||
try {
|
||||
const { formId } = req.params;
|
||||
const filters = req.query;
|
||||
|
||||
console.log(`Fetching responses for form ${formId} with filters:`, filters);
|
||||
|
||||
if (!formId) {
|
||||
return res.status(400).json({
|
||||
error: 'Missing form ID',
|
||||
details: 'The form ID parameter is required'
|
||||
});
|
||||
}
|
||||
|
||||
const data = await typeformService.getFormResponsesWithFilters(formId, filters);
|
||||
|
||||
if (!data) {
|
||||
return res.status(404).json({
|
||||
error: 'No data found',
|
||||
details: `No responses found for form ${formId}`
|
||||
});
|
||||
}
|
||||
|
||||
res.json(data);
|
||||
} catch (error) {
|
||||
console.error('Form responses error:', {
|
||||
formId: req.params.formId,
|
||||
filters: req.query,
|
||||
error: error.message,
|
||||
stack: error.stack,
|
||||
response: error.response?.data
|
||||
});
|
||||
|
||||
// Handle specific error cases
|
||||
if (error.response?.status === 401) {
|
||||
return res.status(401).json({
|
||||
error: 'Authentication failed',
|
||||
details: 'Invalid Typeform API credentials'
|
||||
});
|
||||
}
|
||||
|
||||
if (error.response?.status === 404) {
|
||||
return res.status(404).json({
|
||||
error: 'Not found',
|
||||
details: `Form '${req.params.formId}' not found`
|
||||
});
|
||||
}
|
||||
|
||||
if (error.response?.status === 400) {
|
||||
return res.status(400).json({
|
||||
error: 'Invalid request',
|
||||
details: error.response?.data?.message || 'The request was invalid',
|
||||
data: error.response?.data
|
||||
});
|
||||
}
|
||||
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch form responses',
|
||||
details: error.response?.data?.message || error.message,
|
||||
data: error.response?.data
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
// Get form insights
|
||||
router.get('/forms/:formId/insights', async (req, res) => {
|
||||
try {
|
||||
const { formId } = req.params;
|
||||
|
||||
if (!formId) {
|
||||
return res.status(400).json({
|
||||
error: 'Missing form ID',
|
||||
details: 'The form ID parameter is required'
|
||||
});
|
||||
}
|
||||
|
||||
const data = await typeformService.getFormInsights(formId);
|
||||
|
||||
if (!data) {
|
||||
return res.status(404).json({
|
||||
error: 'No data found',
|
||||
details: `No insights found for form ${formId}`
|
||||
});
|
||||
}
|
||||
|
||||
res.json(data);
|
||||
} catch (error) {
|
||||
console.error('Form insights error:', {
|
||||
formId: req.params.formId,
|
||||
error: error.message,
|
||||
response: error.response?.data
|
||||
});
|
||||
|
||||
if (error.response?.status === 401) {
|
||||
return res.status(401).json({
|
||||
error: 'Authentication failed',
|
||||
details: 'Invalid Typeform API credentials'
|
||||
});
|
||||
}
|
||||
|
||||
if (error.response?.status === 404) {
|
||||
return res.status(404).json({
|
||||
error: 'Not found',
|
||||
details: `Form '${req.params.formId}' not found`
|
||||
});
|
||||
}
|
||||
|
||||
res.status(500).json({
|
||||
error: 'Failed to fetch form insights',
|
||||
details: error.response?.data?.message || error.message,
|
||||
data: error.response?.data
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
module.exports = router;
|
||||
@@ -1,31 +0,0 @@
|
||||
const express = require('express');
|
||||
const cors = require('cors');
|
||||
const path = require('path');
|
||||
require('dotenv').config({
|
||||
path: path.resolve(__dirname, '.env')
|
||||
});
|
||||
|
||||
const app = express();
|
||||
const port = process.env.TYPEFORM_PORT || 3008;
|
||||
|
||||
app.use(cors());
|
||||
app.use(express.json());
|
||||
|
||||
// Import routes
|
||||
const typeformRoutes = require('./routes/typeform.routes');
|
||||
|
||||
// Use routes
|
||||
app.use('/api/typeform', typeformRoutes);
|
||||
|
||||
// Error handling middleware
|
||||
app.use((err, req, res, next) => {
|
||||
console.error(err.stack);
|
||||
res.status(500).json({ error: 'Something went wrong!' });
|
||||
});
|
||||
|
||||
// Start server
|
||||
app.listen(port, () => {
|
||||
console.log(`Typeform API server running on port ${port}`);
|
||||
});
|
||||
|
||||
module.exports = app;
|
||||
@@ -1,142 +0,0 @@
|
||||
const axios = require('axios');
|
||||
const { createClient } = require('redis');
|
||||
|
||||
class TypeformService {
|
||||
constructor() {
|
||||
this.redis = createClient({
|
||||
url: process.env.REDIS_URL
|
||||
});
|
||||
|
||||
this.redis.on('error', err => console.error('Redis Client Error:', err));
|
||||
this.redis.connect().catch(err => console.error('Redis connection error:', err));
|
||||
|
||||
const token = process.env.TYPEFORM_ACCESS_TOKEN;
|
||||
console.log('Initializing Typeform client with token:', token ? `${token.slice(0, 10)}...` : 'missing');
|
||||
|
||||
this.apiClient = axios.create({
|
||||
baseURL: 'https://api.typeform.com',
|
||||
headers: {
|
||||
'Authorization': `Bearer ${token}`,
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
});
|
||||
|
||||
// Test the token
|
||||
this.testConnection();
|
||||
}
|
||||
|
||||
async testConnection() {
|
||||
try {
|
||||
const response = await this.apiClient.get('/forms');
|
||||
console.log('Typeform connection test successful:', {
|
||||
status: response.status,
|
||||
headers: response.headers,
|
||||
});
|
||||
} catch (error) {
|
||||
console.error('Typeform connection test failed:', {
|
||||
error: error.message,
|
||||
response: error.response?.data,
|
||||
status: error.response?.status,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
async getFormResponses(formId, params = {}) {
|
||||
const cacheKey = `typeform:responses:${formId}:${JSON.stringify(params)}`;
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log(`Form responses for ${formId} found in Redis cache`);
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
// Fetch from API
|
||||
const response = await this.apiClient.get(`/forms/${formId}/responses`, { params });
|
||||
const data = response.data;
|
||||
|
||||
// Save to Redis with 5 minute expiry
|
||||
await this.redis.set(cacheKey, JSON.stringify(data), {
|
||||
EX: 300 // 5 minutes
|
||||
});
|
||||
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error(`Error fetching form responses for ${formId}:`, {
|
||||
error: error.message,
|
||||
params,
|
||||
response: error.response?.data
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getFormInsights(formId) {
|
||||
const cacheKey = `typeform:insights:${formId}`;
|
||||
|
||||
try {
|
||||
// Try Redis first
|
||||
const cachedData = await this.redis.get(cacheKey);
|
||||
if (cachedData) {
|
||||
console.log(`Form insights for ${formId} found in Redis cache`);
|
||||
return JSON.parse(cachedData);
|
||||
}
|
||||
|
||||
// Log the request details
|
||||
console.log(`Fetching insights for form ${formId}...`, {
|
||||
url: `/insights/${formId}/summary`,
|
||||
headers: this.apiClient.defaults.headers
|
||||
});
|
||||
|
||||
// Fetch from API
|
||||
const response = await this.apiClient.get(`/insights/${formId}/summary`);
|
||||
console.log('Typeform insights response:', {
|
||||
status: response.status,
|
||||
headers: response.headers,
|
||||
data: response.data
|
||||
});
|
||||
const data = response.data;
|
||||
|
||||
// Save to Redis with 5 minute expiry
|
||||
await this.redis.set(cacheKey, JSON.stringify(data), {
|
||||
EX: 300 // 5 minutes
|
||||
});
|
||||
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error(`Error fetching form insights for ${formId}:`, {
|
||||
error: error.message,
|
||||
response: error.response?.data,
|
||||
status: error.response?.status,
|
||||
headers: error.response?.headers,
|
||||
requestUrl: `/insights/${formId}/summary`,
|
||||
requestHeaders: this.apiClient.defaults.headers
|
||||
});
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async getFormResponsesWithFilters(formId, { since, until, pageSize = 25, ...otherParams } = {}) {
|
||||
try {
|
||||
const params = {
|
||||
page_size: pageSize,
|
||||
...otherParams
|
||||
};
|
||||
|
||||
if (since) {
|
||||
params.since = new Date(since).toISOString();
|
||||
}
|
||||
if (until) {
|
||||
params.until = new Date(until).toISOString();
|
||||
}
|
||||
|
||||
return await this.getFormResponses(formId, params);
|
||||
} catch (error) {
|
||||
console.error('Error in getFormResponsesWithFilters:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = new TypeformService();
|
||||
@@ -1,196 +0,0 @@
|
||||
-- Create function for updating timestamps if it doesn't exist
|
||||
CREATE OR REPLACE FUNCTION update_updated_column()
|
||||
RETURNS TRIGGER AS $$
|
||||
BEGIN
|
||||
NEW.updated = CURRENT_TIMESTAMP;
|
||||
RETURN NEW;
|
||||
END;
|
||||
$$ language 'plpgsql';
|
||||
|
||||
-- Create function for updating updated_at timestamps
|
||||
CREATE OR REPLACE FUNCTION update_updated_at_column()
|
||||
RETURNS TRIGGER AS $$
|
||||
BEGIN
|
||||
NEW.updated_at = CURRENT_TIMESTAMP;
|
||||
RETURN NEW;
|
||||
END;
|
||||
$$ language 'plpgsql';
|
||||
|
||||
-- Drop tables in reverse order of dependency
|
||||
DROP TABLE IF EXISTS public.settings_product CASCADE;
|
||||
DROP TABLE IF EXISTS public.settings_vendor CASCADE;
|
||||
DROP TABLE IF EXISTS public.settings_global CASCADE;
|
||||
|
||||
-- Table Definition: settings_global
|
||||
CREATE TABLE public.settings_global (
|
||||
setting_key VARCHAR PRIMARY KEY,
|
||||
setting_value VARCHAR NOT NULL,
|
||||
description TEXT,
|
||||
updated_at TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
|
||||
-- Table Definition: settings_vendor
|
||||
CREATE TABLE public.settings_vendor (
|
||||
vendor VARCHAR PRIMARY KEY, -- Matches products.vendor
|
||||
default_lead_time_days INT,
|
||||
default_days_of_stock INT,
|
||||
updated_at TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
-- Index for faster lookups if needed (PK usually sufficient)
|
||||
-- CREATE INDEX idx_settings_vendor_vendor ON public.settings_vendor(vendor);
|
||||
|
||||
-- Table Definition: settings_product
|
||||
CREATE TABLE public.settings_product (
|
||||
pid INT8 PRIMARY KEY,
|
||||
lead_time_days INT, -- Overrides vendor/global
|
||||
days_of_stock INT, -- Overrides vendor/global
|
||||
safety_stock INT DEFAULT 0, -- Minimum desired stock level
|
||||
forecast_method VARCHAR DEFAULT 'standard', -- e.g., 'standard', 'seasonal'
|
||||
exclude_from_forecast BOOLEAN DEFAULT FALSE,
|
||||
updated_at TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
CONSTRAINT fk_settings_product_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE
|
||||
);
|
||||
|
||||
|
||||
-- Description: Inserts or updates standard default global settings.
|
||||
-- Safe to rerun; will update existing keys with these default values.
|
||||
-- Dependencies: `settings_global` table must exist.
|
||||
-- Frequency: Run once initially, or rerun if you want to reset global defaults.
|
||||
|
||||
INSERT INTO public.settings_global (setting_key, setting_value, description) VALUES
|
||||
('abc_revenue_threshold_a', '0.80', 'Revenue percentage for Class A (cumulative)'),
|
||||
('abc_revenue_threshold_b', '0.95', 'Revenue percentage for Class B (cumulative)'),
|
||||
('abc_calculation_basis', 'revenue_30d', 'Metric for ABC calc (revenue_30d, sales_30d, lifetime_revenue)'),
|
||||
('abc_calculation_period', '30', 'Days period for ABC calculation if not lifetime'),
|
||||
('default_forecast_method', 'standard', 'Default forecast method (standard, seasonal)'),
|
||||
('default_lead_time_days', '14', 'Global default lead time in days'),
|
||||
('default_days_of_stock', '30', 'Global default days of stock coverage target'),
|
||||
-- Set default safety stock to 0 units. Can be overridden per product.
|
||||
-- If you wanted safety stock in days, you'd store 'days' here and calculate units later.
|
||||
('default_safety_stock_units', '0', 'Global default safety stock in units')
|
||||
ON CONFLICT (setting_key) DO UPDATE SET
|
||||
setting_value = EXCLUDED.setting_value,
|
||||
description = EXCLUDED.description,
|
||||
updated_at = CURRENT_TIMESTAMP; -- Update timestamp if default value changes
|
||||
|
||||
|
||||
|
||||
-- Description: Creates placeholder rows in `settings_vendor` for each unique vendor
|
||||
-- found in the `products` table. Does NOT set specific overrides.
|
||||
-- Safe to rerun; will NOT overwrite existing vendor settings.
|
||||
-- Dependencies: `settings_vendor` table must exist, `products` table populated.
|
||||
-- Frequency: Run once after initial product load, or periodically if new vendors are added.
|
||||
|
||||
INSERT INTO public.settings_vendor (
|
||||
vendor,
|
||||
default_lead_time_days,
|
||||
default_days_of_stock
|
||||
-- updated_at will use its default CURRENT_TIMESTAMP on insert
|
||||
)
|
||||
SELECT
|
||||
DISTINCT p.vendor,
|
||||
-- Explicitly cast NULL to INTEGER to resolve type mismatch
|
||||
CAST(NULL AS INTEGER),
|
||||
CAST(NULL AS INTEGER)
|
||||
FROM
|
||||
public.products p
|
||||
WHERE
|
||||
p.vendor IS NOT NULL
|
||||
AND p.vendor <> '' -- Exclude blank vendors if necessary
|
||||
|
||||
ON CONFLICT (vendor) DO NOTHING; -- IMPORTANT: Do not overwrite existing vendor settings
|
||||
|
||||
SELECT COUNT(*) FROM public.settings_vendor; -- Verify rows were inserted
|
||||
|
||||
|
||||
-- Description: Creates placeholder rows in `settings_product` for each unique product
|
||||
-- found in the `products` table. Sets basic defaults but no specific overrides.
|
||||
-- Safe to rerun; will NOT overwrite existing product settings.
|
||||
-- Dependencies: `settings_product` table must exist, `products` table populated.
|
||||
-- Frequency: Run once after initial product load, or periodically if new products are added.
|
||||
|
||||
INSERT INTO public.settings_product (
|
||||
pid,
|
||||
lead_time_days, -- NULL = Inherit from Vendor/Global
|
||||
days_of_stock, -- NULL = Inherit from Vendor/Global
|
||||
safety_stock, -- Default to 0 units initially
|
||||
forecast_method, -- NULL = Inherit from Global ('standard')
|
||||
exclude_from_forecast -- Default to FALSE
|
||||
-- updated_at will use its default CURRENT_TIMESTAMP on insert
|
||||
)
|
||||
SELECT
|
||||
p.pid,
|
||||
CAST(NULL AS INTEGER), -- Explicitly cast NULL to INTEGER
|
||||
CAST(NULL AS INTEGER), -- Explicitly cast NULL to INTEGER
|
||||
COALESCE((SELECT setting_value::int FROM settings_global WHERE setting_key = 'default_safety_stock_units'), 0), -- Use global default safety stock units
|
||||
CAST(NULL AS VARCHAR), -- Cast NULL to VARCHAR for forecast_method (already varchar, but explicit)
|
||||
FALSE -- Default: Include in forecast
|
||||
FROM
|
||||
public.products p
|
||||
|
||||
ON CONFLICT (pid) DO NOTHING; -- IMPORTANT: Do not overwrite existing product-specific settings
|
||||
|
||||
|
||||
-- History and status tables
|
||||
CREATE TABLE IF NOT EXISTS calculate_history (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
start_time TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
end_time TIMESTAMP WITH TIME ZONE NULL,
|
||||
duration_seconds INTEGER,
|
||||
duration_minutes DECIMAL(10,2) GENERATED ALWAYS AS (duration_seconds::decimal / 60.0) STORED,
|
||||
total_products INTEGER DEFAULT 0,
|
||||
total_orders INTEGER DEFAULT 0,
|
||||
total_purchase_orders INTEGER DEFAULT 0,
|
||||
processed_products INTEGER DEFAULT 0,
|
||||
processed_orders INTEGER DEFAULT 0,
|
||||
processed_purchase_orders INTEGER DEFAULT 0,
|
||||
status calculation_status DEFAULT 'running',
|
||||
error_message TEXT,
|
||||
additional_info JSONB
|
||||
);
|
||||
|
||||
CREATE TABLE IF NOT EXISTS calculate_status (
|
||||
module_name text PRIMARY KEY,
|
||||
last_calculation_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
|
||||
);
|
||||
|
||||
CREATE TABLE IF NOT EXISTS sync_status (
|
||||
table_name TEXT PRIMARY KEY,
|
||||
last_sync_timestamp TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
last_sync_id BIGINT
|
||||
);
|
||||
|
||||
CREATE TABLE IF NOT EXISTS import_history (
|
||||
id BIGSERIAL PRIMARY KEY,
|
||||
table_name VARCHAR(50) NOT NULL,
|
||||
start_time TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
end_time TIMESTAMP WITH TIME ZONE NULL,
|
||||
duration_seconds INTEGER,
|
||||
duration_minutes DECIMAL(10,2) GENERATED ALWAYS AS (duration_seconds::decimal / 60.0) STORED,
|
||||
records_added INTEGER DEFAULT 0,
|
||||
records_updated INTEGER DEFAULT 0,
|
||||
records_deleted INTEGER DEFAULT 0,
|
||||
records_skipped INTEGER DEFAULT 0,
|
||||
total_processed INTEGER DEFAULT 0,
|
||||
is_incremental BOOLEAN DEFAULT FALSE,
|
||||
status calculation_status DEFAULT 'running',
|
||||
error_message TEXT,
|
||||
additional_info JSONB
|
||||
);
|
||||
|
||||
-- Create all indexes after tables are fully created
|
||||
CREATE INDEX IF NOT EXISTS idx_last_calc ON calculate_status(last_calculation_timestamp);
|
||||
CREATE INDEX IF NOT EXISTS idx_last_sync ON sync_status(last_sync_timestamp);
|
||||
CREATE INDEX IF NOT EXISTS idx_table_time ON import_history(table_name, start_time);
|
||||
CREATE INDEX IF NOT EXISTS idx_import_history_status ON import_history(status);
|
||||
CREATE INDEX IF NOT EXISTS idx_calculate_history_status ON calculate_history(status);
|
||||
|
||||
-- Add comments for documentation
|
||||
COMMENT ON TABLE import_history IS 'Tracks history of data import operations with detailed statistics';
|
||||
COMMENT ON COLUMN import_history.records_deleted IS 'Number of records deleted during this import';
|
||||
COMMENT ON COLUMN import_history.records_skipped IS 'Number of records skipped (e.g., unchanged, invalid)';
|
||||
COMMENT ON COLUMN import_history.total_processed IS 'Total number of records examined/processed, including skipped';
|
||||
|
||||
COMMENT ON TABLE calculate_history IS 'Tracks history of metrics calculation runs with performance data';
|
||||
COMMENT ON COLUMN calculate_history.duration_seconds IS 'Total duration of the calculation in seconds';
|
||||
COMMENT ON COLUMN calculate_history.additional_info IS 'JSON object containing step timings, row counts, and other detailed metrics';
|
||||
@@ -1,17 +0,0 @@
|
||||
-- Daily Deals schema for local PostgreSQL
|
||||
-- Synced from production MySQL product_daily_deals + product_current_prices
|
||||
|
||||
CREATE TABLE IF NOT EXISTS product_daily_deals (
|
||||
deal_id serial PRIMARY KEY,
|
||||
deal_date date NOT NULL,
|
||||
pid bigint NOT NULL,
|
||||
price_id bigint NOT NULL,
|
||||
-- Denormalized from product_current_prices so we don't need to sync that whole table
|
||||
deal_price numeric(10,3),
|
||||
created_at timestamptz DEFAULT NOW(),
|
||||
CONSTRAINT fk_daily_deals_pid FOREIGN KEY (pid) REFERENCES products(pid) ON DELETE CASCADE
|
||||
);
|
||||
|
||||
CREATE INDEX IF NOT EXISTS idx_daily_deals_date ON product_daily_deals(deal_date);
|
||||
CREATE INDEX IF NOT EXISTS idx_daily_deals_pid ON product_daily_deals(pid);
|
||||
CREATE UNIQUE INDEX IF NOT EXISTS idx_daily_deals_unique ON product_daily_deals(deal_date, pid);
|
||||
@@ -1,234 +0,0 @@
|
||||
-- Custom PostgreSQL functions used by the metrics pipeline
|
||||
-- These must exist in the database before running calculate-metrics-new.js
|
||||
--
|
||||
-- To install/update: psql -d inventory_db -f functions.sql
|
||||
-- All functions use CREATE OR REPLACE so they are safe to re-run.
|
||||
|
||||
-- =============================================================================
|
||||
-- safe_divide: Division helper that returns a default value instead of erroring
|
||||
-- on NULL or zero denominators.
|
||||
-- =============================================================================
|
||||
CREATE OR REPLACE FUNCTION public.safe_divide(
|
||||
numerator numeric,
|
||||
denominator numeric,
|
||||
default_value numeric DEFAULT NULL::numeric
|
||||
)
|
||||
RETURNS numeric
|
||||
LANGUAGE plpgsql
|
||||
IMMUTABLE
|
||||
AS $function$
|
||||
BEGIN
|
||||
IF denominator IS NULL OR denominator = 0 THEN
|
||||
RETURN default_value;
|
||||
ELSE
|
||||
RETURN numerator / denominator;
|
||||
END IF;
|
||||
END;
|
||||
$function$;
|
||||
|
||||
-- =============================================================================
|
||||
-- std_numeric: Standardized rounding helper for consistent numeric precision.
|
||||
-- =============================================================================
|
||||
CREATE OR REPLACE FUNCTION public.std_numeric(
|
||||
value numeric,
|
||||
precision_digits integer DEFAULT 2
|
||||
)
|
||||
RETURNS numeric
|
||||
LANGUAGE plpgsql
|
||||
IMMUTABLE
|
||||
AS $function$
|
||||
BEGIN
|
||||
IF value IS NULL THEN
|
||||
RETURN NULL;
|
||||
ELSE
|
||||
RETURN ROUND(value, precision_digits);
|
||||
END IF;
|
||||
END;
|
||||
$function$;
|
||||
|
||||
-- =============================================================================
|
||||
-- calculate_sales_velocity: Daily sales velocity adjusted for stockout days.
|
||||
-- Ensures at least 14-day denominator for products with sales to avoid
|
||||
-- inflated velocity from short windows.
|
||||
-- =============================================================================
|
||||
CREATE OR REPLACE FUNCTION public.calculate_sales_velocity(
|
||||
sales_30d integer,
|
||||
stockout_days_30d integer
|
||||
)
|
||||
RETURNS numeric
|
||||
LANGUAGE plpgsql
|
||||
IMMUTABLE
|
||||
AS $function$
|
||||
BEGIN
|
||||
RETURN sales_30d /
|
||||
NULLIF(
|
||||
GREATEST(
|
||||
30.0 - stockout_days_30d,
|
||||
CASE
|
||||
WHEN sales_30d > 0 THEN 14.0 -- If we have sales, ensure at least 14 days denominator
|
||||
ELSE 30.0 -- If no sales, use full period
|
||||
END
|
||||
),
|
||||
0
|
||||
);
|
||||
END;
|
||||
$function$;
|
||||
|
||||
-- =============================================================================
|
||||
-- get_weighted_avg_cost: Weighted average cost from receivings up to a given date.
|
||||
-- Uses all non-canceled receivings (no row limit) weighted by quantity.
|
||||
-- =============================================================================
|
||||
CREATE OR REPLACE FUNCTION public.get_weighted_avg_cost(
|
||||
p_pid bigint,
|
||||
p_date date
|
||||
)
|
||||
RETURNS numeric
|
||||
LANGUAGE plpgsql
|
||||
STABLE
|
||||
AS $function$
|
||||
DECLARE
|
||||
weighted_cost NUMERIC;
|
||||
BEGIN
|
||||
SELECT
|
||||
CASE
|
||||
WHEN SUM(qty_each) > 0 THEN SUM(cost_each * qty_each) / SUM(qty_each)
|
||||
ELSE NULL
|
||||
END INTO weighted_cost
|
||||
FROM receivings
|
||||
WHERE pid = p_pid
|
||||
AND received_date <= p_date
|
||||
AND status != 'canceled';
|
||||
|
||||
RETURN weighted_cost;
|
||||
END;
|
||||
$function$;
|
||||
|
||||
-- =============================================================================
|
||||
-- classify_demand_pattern: Classifies demand based on average demand and
|
||||
-- coefficient of variation (CV). Standard inventory classification:
|
||||
-- zero: no demand
|
||||
-- stable: CV <= 0.2 (predictable, easy to forecast)
|
||||
-- variable: CV <= 0.5 (some variability, still forecastable)
|
||||
-- sporadic: low volume + high CV (intermittent demand)
|
||||
-- lumpy: high volume + high CV (unpredictable bursts)
|
||||
-- =============================================================================
|
||||
CREATE OR REPLACE FUNCTION public.classify_demand_pattern(
|
||||
avg_demand numeric,
|
||||
cv numeric
|
||||
)
|
||||
RETURNS character varying
|
||||
LANGUAGE plpgsql
|
||||
IMMUTABLE
|
||||
AS $function$
|
||||
BEGIN
|
||||
IF avg_demand IS NULL OR cv IS NULL THEN
|
||||
RETURN NULL;
|
||||
ELSIF avg_demand = 0 THEN
|
||||
RETURN 'zero';
|
||||
ELSIF cv <= 0.2 THEN
|
||||
RETURN 'stable';
|
||||
ELSIF cv <= 0.5 THEN
|
||||
RETURN 'variable';
|
||||
ELSIF avg_demand < 1.0 THEN
|
||||
RETURN 'sporadic';
|
||||
ELSE
|
||||
RETURN 'lumpy';
|
||||
END IF;
|
||||
END;
|
||||
$function$;
|
||||
|
||||
-- =============================================================================
|
||||
-- detect_seasonal_pattern: Detects seasonality by comparing monthly average
|
||||
-- sales across the last 12 months. Uses coefficient of variation across months
|
||||
-- and peak-to-average ratio to classify patterns.
|
||||
--
|
||||
-- Returns:
|
||||
-- seasonal_pattern: 'none', 'moderate', or 'strong'
|
||||
-- seasonality_index: peak month avg / overall avg * 100 (100 = no seasonality)
|
||||
-- peak_season: name of peak month (e.g. 'January'), or NULL if none
|
||||
-- =============================================================================
|
||||
CREATE OR REPLACE FUNCTION public.detect_seasonal_pattern(p_pid bigint)
|
||||
RETURNS TABLE(seasonal_pattern character varying, seasonality_index numeric, peak_season character varying)
|
||||
LANGUAGE plpgsql
|
||||
STABLE
|
||||
AS $function$
|
||||
DECLARE
|
||||
v_monthly_cv NUMERIC;
|
||||
v_max_month_avg NUMERIC;
|
||||
v_overall_avg NUMERIC;
|
||||
v_monthly_stddev NUMERIC;
|
||||
v_peak_month_num INT;
|
||||
v_data_months INT;
|
||||
v_seasonality_index NUMERIC;
|
||||
v_seasonal_pattern VARCHAR;
|
||||
v_peak_season VARCHAR;
|
||||
BEGIN
|
||||
-- Gather monthly average sales and peak month in a single query
|
||||
SELECT
|
||||
COUNT(*),
|
||||
AVG(month_avg),
|
||||
STDDEV(month_avg),
|
||||
MAX(month_avg),
|
||||
(ARRAY_AGG(mo ORDER BY month_avg DESC))[1]::INT
|
||||
INTO v_data_months, v_overall_avg, v_monthly_stddev, v_max_month_avg, v_peak_month_num
|
||||
FROM (
|
||||
SELECT EXTRACT(MONTH FROM snapshot_date) AS mo, AVG(units_sold) AS month_avg
|
||||
FROM daily_product_snapshots
|
||||
WHERE pid = p_pid AND snapshot_date >= CURRENT_DATE - INTERVAL '365 days'
|
||||
GROUP BY EXTRACT(MONTH FROM snapshot_date)
|
||||
) monthly;
|
||||
|
||||
-- Need at least 3 months of data for meaningful seasonality detection
|
||||
IF v_data_months < 3 OR v_overall_avg IS NULL OR v_overall_avg = 0 THEN
|
||||
RETURN QUERY SELECT 'none'::VARCHAR, 100::NUMERIC, NULL::VARCHAR;
|
||||
RETURN;
|
||||
END IF;
|
||||
|
||||
-- CV of monthly averages
|
||||
v_monthly_cv := v_monthly_stddev / v_overall_avg;
|
||||
|
||||
-- Seasonality index: peak month avg / overall avg * 100
|
||||
v_seasonality_index := ROUND((v_max_month_avg / v_overall_avg * 100)::NUMERIC, 2);
|
||||
|
||||
IF v_monthly_cv > 0.5 AND v_seasonality_index > 150 THEN
|
||||
v_seasonal_pattern := 'strong';
|
||||
v_peak_season := TRIM(TO_CHAR(TO_DATE(v_peak_month_num::TEXT, 'MM'), 'Month'));
|
||||
ELSIF v_monthly_cv > 0.3 AND v_seasonality_index > 120 THEN
|
||||
v_seasonal_pattern := 'moderate';
|
||||
v_peak_season := TRIM(TO_CHAR(TO_DATE(v_peak_month_num::TEXT, 'MM'), 'Month'));
|
||||
ELSE
|
||||
v_seasonal_pattern := 'none';
|
||||
v_peak_season := NULL;
|
||||
v_seasonality_index := 100;
|
||||
END IF;
|
||||
|
||||
RETURN QUERY SELECT v_seasonal_pattern, v_seasonality_index, v_peak_season;
|
||||
END;
|
||||
$function$;
|
||||
|
||||
-- =============================================================================
|
||||
-- category_hierarchy: Materialized view providing a recursive category tree
|
||||
-- with ancestor paths for efficient rollup queries.
|
||||
--
|
||||
-- Refresh after category changes: REFRESH MATERIALIZED VIEW category_hierarchy;
|
||||
-- =============================================================================
|
||||
-- DROP MATERIALIZED VIEW IF EXISTS category_hierarchy;
|
||||
-- CREATE MATERIALIZED VIEW category_hierarchy AS
|
||||
-- WITH RECURSIVE cat_tree AS (
|
||||
-- SELECT cat_id, name, type, parent_id,
|
||||
-- cat_id AS root_id, 0 AS level, ARRAY[cat_id] AS path
|
||||
-- FROM categories
|
||||
-- WHERE parent_id IS NULL
|
||||
-- UNION ALL
|
||||
-- SELECT c.cat_id, c.name, c.type, c.parent_id,
|
||||
-- ct.root_id, ct.level + 1, ct.path || c.cat_id
|
||||
-- FROM categories c
|
||||
-- JOIN cat_tree ct ON c.parent_id = ct.cat_id
|
||||
-- )
|
||||
-- SELECT cat_id, name, type, parent_id, root_id, level, path,
|
||||
-- (SELECT array_agg(unnest ORDER BY unnest DESC)
|
||||
-- FROM unnest(cat_tree.path) unnest
|
||||
-- WHERE unnest <> cat_tree.cat_id) AS ancestor_ids
|
||||
-- FROM cat_tree;
|
||||
--
|
||||
-- CREATE UNIQUE INDEX ON category_hierarchy (cat_id);
|
||||
@@ -1,343 +0,0 @@
|
||||
-- Drop tables in reverse order of dependency
|
||||
DROP TABLE IF EXISTS public.product_metrics CASCADE;
|
||||
DROP TABLE IF EXISTS public.daily_product_snapshots CASCADE;
|
||||
|
||||
-- Table Definition: daily_product_snapshots
|
||||
CREATE TABLE public.daily_product_snapshots (
|
||||
snapshot_date DATE NOT NULL,
|
||||
pid INT8 NOT NULL,
|
||||
sku VARCHAR, -- Copied for convenience
|
||||
|
||||
-- Inventory Metrics (End of Day / Last Snapshot of Day)
|
||||
eod_stock_quantity INT NOT NULL DEFAULT 0,
|
||||
eod_stock_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- Increased precision
|
||||
eod_stock_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
eod_stock_gross NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
stockout_flag BOOLEAN NOT NULL DEFAULT FALSE,
|
||||
|
||||
-- Sales Metrics (Aggregated for the snapshot_date)
|
||||
units_sold INT NOT NULL DEFAULT 0,
|
||||
units_returned INT NOT NULL DEFAULT 0,
|
||||
gross_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
discounts NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
returns_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
net_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- gross_revenue - discounts
|
||||
cogs NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
gross_regular_revenue NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
profit NUMERIC(14, 4) NOT NULL DEFAULT 0.00, -- net_revenue - cogs
|
||||
|
||||
-- Receiving Metrics (Aggregated for the snapshot_date)
|
||||
units_received INT NOT NULL DEFAULT 0,
|
||||
cost_received NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
calculation_timestamp TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
|
||||
PRIMARY KEY (snapshot_date, pid) -- Composite primary key
|
||||
-- CONSTRAINT fk_daily_snapshot_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE -- FK Optional on snapshot table
|
||||
);
|
||||
|
||||
-- Add Indexes for daily_product_snapshots
|
||||
CREATE INDEX idx_daily_snapshot_pid_date ON public.daily_product_snapshots(pid, snapshot_date); -- Useful for product-specific time series
|
||||
|
||||
|
||||
-- Table Definition: product_metrics
|
||||
CREATE TABLE public.product_metrics (
|
||||
pid INT8 PRIMARY KEY,
|
||||
last_calculated TIMESTAMPTZ NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
|
||||
-- Product Info (Copied for convenience/performance)
|
||||
sku VARCHAR,
|
||||
title VARCHAR,
|
||||
brand VARCHAR,
|
||||
vendor VARCHAR,
|
||||
image_url VARCHAR, -- (e.g., products.image_175)
|
||||
is_visible BOOLEAN,
|
||||
is_replenishable BOOLEAN,
|
||||
|
||||
-- Additional product fields
|
||||
barcode VARCHAR,
|
||||
harmonized_tariff_code VARCHAR,
|
||||
vendor_reference VARCHAR,
|
||||
notions_reference VARCHAR,
|
||||
line VARCHAR,
|
||||
subline VARCHAR,
|
||||
artist VARCHAR,
|
||||
moq INT,
|
||||
rating NUMERIC(10, 2),
|
||||
reviews INT,
|
||||
weight NUMERIC(14, 4),
|
||||
length NUMERIC(14, 4),
|
||||
width NUMERIC(14, 4),
|
||||
height NUMERIC(14, 4),
|
||||
country_of_origin VARCHAR,
|
||||
location VARCHAR,
|
||||
baskets INT,
|
||||
notifies INT,
|
||||
preorder_count INT,
|
||||
notions_inv_count INT,
|
||||
|
||||
-- Current Status (Refreshed Hourly)
|
||||
current_price NUMERIC(10, 2),
|
||||
current_regular_price NUMERIC(10, 2),
|
||||
current_cost_price NUMERIC(10, 4), -- Increased precision for cost
|
||||
current_stock INT NOT NULL DEFAULT 0,
|
||||
current_stock_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
current_stock_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
current_stock_gross NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
on_order_qty INT NOT NULL DEFAULT 0,
|
||||
on_order_cost NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
on_order_retail NUMERIC(14, 4) NOT NULL DEFAULT 0.00,
|
||||
earliest_expected_date DATE,
|
||||
-- total_received_lifetime INT NOT NULL DEFAULT 0, -- Can calc if needed
|
||||
|
||||
-- Historical Dates (Calculated Once/Periodically)
|
||||
date_created DATE,
|
||||
date_first_received DATE,
|
||||
date_last_received DATE,
|
||||
date_first_sold DATE,
|
||||
date_last_sold DATE,
|
||||
age_days INT, -- Calculated based on LEAST(date_created, date_first_sold)
|
||||
|
||||
-- Rolling Period Metrics (Refreshed Hourly from daily_product_snapshots)
|
||||
sales_7d INT, revenue_7d NUMERIC(14, 4),
|
||||
sales_14d INT, revenue_14d NUMERIC(14, 4),
|
||||
sales_30d INT, revenue_30d NUMERIC(14, 4),
|
||||
cogs_30d NUMERIC(14, 4), profit_30d NUMERIC(14, 4),
|
||||
returns_units_30d INT, returns_revenue_30d NUMERIC(14, 4),
|
||||
discounts_30d NUMERIC(14, 4),
|
||||
gross_revenue_30d NUMERIC(14, 4), gross_regular_revenue_30d NUMERIC(14, 4),
|
||||
stockout_days_30d INT,
|
||||
sales_365d INT, revenue_365d NUMERIC(14, 4),
|
||||
avg_stock_units_30d NUMERIC(10, 2), avg_stock_cost_30d NUMERIC(14, 4),
|
||||
avg_stock_retail_30d NUMERIC(14, 4), avg_stock_gross_30d NUMERIC(14, 4),
|
||||
received_qty_30d INT, received_cost_30d NUMERIC(14, 4),
|
||||
|
||||
-- Lifetime Metrics (Recalculated Hourly/Daily from daily_product_snapshots)
|
||||
lifetime_sales INT,
|
||||
lifetime_revenue NUMERIC(16, 4),
|
||||
lifetime_revenue_quality VARCHAR(10), -- 'exact', 'partial', 'estimated'
|
||||
|
||||
-- First Period Metrics (Calculated Once/Periodically from daily_product_snapshots)
|
||||
first_7_days_sales INT, first_7_days_revenue NUMERIC(14, 4),
|
||||
first_30_days_sales INT, first_30_days_revenue NUMERIC(14, 4),
|
||||
first_60_days_sales INT, first_60_days_revenue NUMERIC(14, 4),
|
||||
first_90_days_sales INT, first_90_days_revenue NUMERIC(14, 4),
|
||||
|
||||
-- Calculated KPIs (Refreshed Hourly based on rolling metrics)
|
||||
asp_30d NUMERIC(10, 2), -- revenue_30d / sales_30d
|
||||
acp_30d NUMERIC(10, 4), -- cogs_30d / sales_30d
|
||||
avg_ros_30d NUMERIC(10, 4), -- profit_30d / sales_30d
|
||||
avg_sales_per_day_30d NUMERIC(10, 2), -- sales_30d / 30.0
|
||||
avg_sales_per_month_30d NUMERIC(10, 2), -- sales_30d (assuming 30d = 1 month for this metric)
|
||||
margin_30d NUMERIC(8, 2), -- (profit_30d / revenue_30d) * 100
|
||||
markup_30d NUMERIC(8, 2), -- (profit_30d / cogs_30d) * 100
|
||||
gmroi_30d NUMERIC(10, 2), -- profit_30d / avg_stock_cost_30d
|
||||
stockturn_30d NUMERIC(10, 2), -- sales_30d / avg_stock_units_30d
|
||||
return_rate_30d NUMERIC(8, 2), -- returns_units_30d / (sales_30d + returns_units_30d) * 100
|
||||
discount_rate_30d NUMERIC(8, 2), -- discounts_30d / gross_revenue_30d * 100
|
||||
stockout_rate_30d NUMERIC(8, 2), -- stockout_days_30d / 30.0 * 100
|
||||
markdown_30d NUMERIC(14, 4), -- gross_regular_revenue_30d - gross_revenue_30d
|
||||
markdown_rate_30d NUMERIC(8, 2), -- markdown_30d / gross_regular_revenue_30d * 100
|
||||
sell_through_30d NUMERIC(8, 2), -- sales_30d / (current_stock + sales_30d) * 100
|
||||
avg_lead_time_days INT, -- Calculated Periodically from purchase_orders
|
||||
|
||||
-- Forecasting & Replenishment (Refreshed Hourly)
|
||||
abc_class CHAR(1), -- Updated Periodically (e.g., Weekly)
|
||||
sales_velocity_daily NUMERIC(10, 4), -- sales_30d / (30.0 - stockout_days_30d)
|
||||
config_lead_time INT, -- From settings tables
|
||||
config_days_of_stock INT, -- From settings tables
|
||||
config_safety_stock INT, -- From settings_product
|
||||
planning_period_days INT, -- config_lead_time + config_days_of_stock
|
||||
lead_time_forecast_units NUMERIC(10, 2), -- sales_velocity_daily * config_lead_time
|
||||
days_of_stock_forecast_units NUMERIC(10, 2), -- sales_velocity_daily * config_days_of_stock
|
||||
planning_period_forecast_units NUMERIC(10, 2), -- lead_time_forecast_units + days_of_stock_forecast_units
|
||||
lead_time_closing_stock NUMERIC(10, 2), -- current_stock + on_order_qty - lead_time_forecast_units
|
||||
days_of_stock_closing_stock NUMERIC(10, 2), -- lead_time_closing_stock - days_of_stock_forecast_units
|
||||
replenishment_needed_raw NUMERIC(10, 2), -- planning_period_forecast_units + config_safety_stock - current_stock - on_order_qty
|
||||
replenishment_units INT, -- CEILING(GREATEST(0, replenishment_needed_raw))
|
||||
replenishment_cost NUMERIC(14, 4), -- replenishment_units * current_cost_price
|
||||
replenishment_retail NUMERIC(14, 4), -- replenishment_units * current_price
|
||||
replenishment_profit NUMERIC(14, 4), -- replenishment_units * (current_price - current_cost_price)
|
||||
to_order_units INT, -- Apply MOQ/UOM logic to replenishment_units
|
||||
forecast_lost_sales_units NUMERIC(10, 2), -- GREATEST(0, -lead_time_closing_stock)
|
||||
forecast_lost_revenue NUMERIC(14, 4), -- forecast_lost_sales_units * current_price
|
||||
stock_cover_in_days NUMERIC(10, 1), -- current_stock / sales_velocity_daily
|
||||
po_cover_in_days NUMERIC(10, 1), -- on_order_qty / sales_velocity_daily
|
||||
sells_out_in_days NUMERIC(10, 1), -- (current_stock + on_order_qty) / sales_velocity_daily
|
||||
replenish_date DATE, -- Calc based on when stock hits safety stock minus lead time
|
||||
overstocked_units INT, -- GREATEST(0, current_stock - config_safety_stock - planning_period_forecast_units)
|
||||
overstocked_cost NUMERIC(14, 4), -- overstocked_units * current_cost_price
|
||||
overstocked_retail NUMERIC(14, 4), -- overstocked_units * current_price
|
||||
is_old_stock BOOLEAN, -- Based on age, last sold, last received, on_order status
|
||||
|
||||
-- Yesterday's Metrics (Refreshed Hourly from daily_product_snapshots)
|
||||
yesterday_sales INT,
|
||||
|
||||
-- Product Status (Calculated from metrics)
|
||||
status VARCHAR, -- Stores status values like: Critical, Reorder Soon, Healthy, Overstock, At Risk, New
|
||||
|
||||
-- Growth Metrics (P3)
|
||||
sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth current 30d vs prev 30d
|
||||
revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth current 30d vs prev 30d
|
||||
sales_growth_yoy NUMERIC(10, 2), -- Year-over-year sales growth %
|
||||
revenue_growth_yoy NUMERIC(10, 2), -- Year-over-year revenue growth %
|
||||
|
||||
-- Demand Variability Metrics (P3)
|
||||
sales_variance_30d NUMERIC(10, 2), -- Variance of daily sales
|
||||
sales_std_dev_30d NUMERIC(10, 2), -- Standard deviation of daily sales
|
||||
sales_cv_30d NUMERIC(10, 2), -- Coefficient of variation
|
||||
demand_pattern VARCHAR(20), -- 'stable', 'variable', 'sporadic', 'lumpy'
|
||||
|
||||
-- Service Level & Fill Rate (P5)
|
||||
fill_rate_30d NUMERIC(8, 2), -- % of demand fulfilled from stock
|
||||
stockout_incidents_30d INT, -- Days with stockouts
|
||||
service_level_30d NUMERIC(8, 2), -- % of days without stockouts
|
||||
lost_sales_incidents_30d INT, -- Days with potential lost sales
|
||||
|
||||
-- Seasonality (P5)
|
||||
seasonality_index NUMERIC(10, 2), -- Current vs average (100 = average)
|
||||
seasonal_pattern VARCHAR(20), -- 'none', 'weekly', 'monthly', 'quarterly', 'yearly'
|
||||
peak_season VARCHAR(20), -- e.g., 'Q4', 'summer', 'holiday'
|
||||
|
||||
CONSTRAINT fk_product_metrics_pid FOREIGN KEY (pid) REFERENCES public.products(pid) ON DELETE CASCADE ON UPDATE CASCADE
|
||||
);
|
||||
|
||||
-- Add Indexes for product_metrics (adjust based on common filtering/sorting in frontend)
|
||||
CREATE INDEX idx_product_metrics_brand ON public.product_metrics(brand);
|
||||
CREATE INDEX idx_product_metrics_vendor ON public.product_metrics(vendor);
|
||||
CREATE INDEX idx_product_metrics_sku ON public.product_metrics(sku);
|
||||
CREATE INDEX idx_product_metrics_abc_class ON public.product_metrics(abc_class);
|
||||
CREATE INDEX idx_product_metrics_revenue_30d ON public.product_metrics(revenue_30d DESC NULLS LAST); -- Example sorting index
|
||||
CREATE INDEX idx_product_metrics_sales_30d ON public.product_metrics(sales_30d DESC NULLS LAST); -- Example sorting index
|
||||
CREATE INDEX idx_product_metrics_current_stock ON public.product_metrics(current_stock);
|
||||
CREATE INDEX idx_product_metrics_sells_out_in_days ON public.product_metrics(sells_out_in_days ASC NULLS LAST); -- Example sorting index
|
||||
CREATE INDEX idx_product_metrics_status ON public.product_metrics(status); -- Index for status filtering
|
||||
|
||||
-- Add new vendor, category, and brand metrics tables
|
||||
-- Drop tables in reverse order if they exist
|
||||
DROP TABLE IF EXISTS public.brand_metrics CASCADE;
|
||||
DROP TABLE IF EXISTS public.vendor_metrics CASCADE;
|
||||
DROP TABLE IF EXISTS public.category_metrics CASCADE;
|
||||
|
||||
-- ========= Category Metrics =========
|
||||
CREATE TABLE public.category_metrics (
|
||||
category_id INT8 PRIMARY KEY, -- Foreign key to categories.cat_id
|
||||
category_name VARCHAR, -- Denormalized for convenience
|
||||
category_type INT2, -- Denormalized for convenience
|
||||
parent_id INT8, -- Denormalized for convenience
|
||||
last_calculated TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
|
||||
-- ROLLED-UP METRICS (includes this category + all descendants)
|
||||
-- Counts & Basic Info
|
||||
product_count INT NOT NULL DEFAULT 0, -- Total products linked
|
||||
active_product_count INT NOT NULL DEFAULT 0, -- Visible products linked
|
||||
replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products linked
|
||||
|
||||
-- Current Stock Value (approximated using current product costs/prices)
|
||||
current_stock_units INT NOT NULL DEFAULT 0,
|
||||
current_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
current_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- Rolling Period Aggregates (Summed from product_metrics)
|
||||
sales_7d INT NOT NULL DEFAULT 0, revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
sales_30d INT NOT NULL DEFAULT 0, revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
sales_365d INT NOT NULL DEFAULT 0, revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
lifetime_sales INT NOT NULL DEFAULT 0, lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- DIRECT METRICS (only products directly in this category)
|
||||
direct_product_count INT NOT NULL DEFAULT 0, -- Products directly in this category
|
||||
direct_active_product_count INT NOT NULL DEFAULT 0, -- Visible products directly in this category
|
||||
direct_replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products directly in this category
|
||||
|
||||
-- Direct Current Stock Value
|
||||
direct_current_stock_units INT NOT NULL DEFAULT 0,
|
||||
direct_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
direct_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- Direct Rolling Period Aggregates
|
||||
direct_sales_7d INT NOT NULL DEFAULT 0, direct_revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
direct_sales_30d INT NOT NULL DEFAULT 0, direct_revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
direct_profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, direct_cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
direct_sales_365d INT NOT NULL DEFAULT 0, direct_revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
direct_lifetime_sales INT NOT NULL DEFAULT 0, direct_lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- Calculated KPIs (Based on 30d aggregates) - Apply to rolled-up metrics
|
||||
avg_margin_30d NUMERIC(7, 3), -- (profit / revenue) * 100
|
||||
stock_turn_30d NUMERIC(10, 3), -- sales_units / avg_stock_units (Needs avg stock calc)
|
||||
sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in sales units
|
||||
revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in revenue
|
||||
|
||||
CONSTRAINT fk_category_metrics_cat_id FOREIGN KEY (category_id) REFERENCES public.categories(cat_id) ON DELETE CASCADE ON UPDATE CASCADE
|
||||
);
|
||||
CREATE INDEX idx_category_metrics_name ON public.category_metrics(category_name);
|
||||
CREATE INDEX idx_category_metrics_type ON public.category_metrics(category_type);
|
||||
|
||||
-- ========= Vendor Metrics =========
|
||||
CREATE TABLE public.vendor_metrics (
|
||||
vendor_name VARCHAR PRIMARY KEY, -- Matches products.vendor
|
||||
last_calculated TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
|
||||
-- Counts & Basic Info
|
||||
product_count INT NOT NULL DEFAULT 0, -- Total products from this vendor
|
||||
active_product_count INT NOT NULL DEFAULT 0, -- Visible products
|
||||
replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products
|
||||
|
||||
-- Current Stock Value (approximated)
|
||||
current_stock_units INT NOT NULL DEFAULT 0,
|
||||
current_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
current_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- On Order Value
|
||||
on_order_units INT NOT NULL DEFAULT 0,
|
||||
on_order_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- PO Performance (Simplified)
|
||||
po_count_365d INT NOT NULL DEFAULT 0, -- Count of distinct POs created in last year
|
||||
avg_lead_time_days INT, -- Calculated from received POs historically
|
||||
|
||||
-- Rolling Period Aggregates (Summed from product_metrics)
|
||||
sales_7d INT NOT NULL DEFAULT 0, revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
sales_30d INT NOT NULL DEFAULT 0, revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
sales_365d INT NOT NULL DEFAULT 0, revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
lifetime_sales INT NOT NULL DEFAULT 0, lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- Calculated KPIs (Based on 30d aggregates)
|
||||
avg_margin_30d NUMERIC(14, 4), -- (profit / revenue) * 100
|
||||
sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in sales units
|
||||
revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in revenue
|
||||
-- Add more KPIs if needed (e.g., avg product value, sell-through rate for vendor)
|
||||
);
|
||||
CREATE INDEX idx_vendor_metrics_active_count ON public.vendor_metrics(active_product_count);
|
||||
|
||||
|
||||
-- ========= Brand Metrics =========
|
||||
CREATE TABLE public.brand_metrics (
|
||||
brand_name VARCHAR PRIMARY KEY, -- Matches products.brand (use 'Unbranded' for NULLs)
|
||||
last_calculated TIMESTAMPTZ NOT NULL DEFAULT NOW(),
|
||||
|
||||
-- Counts & Basic Info
|
||||
product_count INT NOT NULL DEFAULT 0, -- Total products of this brand
|
||||
active_product_count INT NOT NULL DEFAULT 0, -- Visible products
|
||||
replenishable_product_count INT NOT NULL DEFAULT 0,-- Replenishable products
|
||||
|
||||
-- Current Stock Value (approximated)
|
||||
current_stock_units INT NOT NULL DEFAULT 0,
|
||||
current_stock_cost NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
current_stock_retail NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- Rolling Period Aggregates (Summed from product_metrics)
|
||||
sales_7d INT NOT NULL DEFAULT 0, revenue_7d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
sales_30d INT NOT NULL DEFAULT 0, revenue_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
profit_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00, cogs_30d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
sales_365d INT NOT NULL DEFAULT 0, revenue_365d NUMERIC(16, 4) NOT NULL DEFAULT 0.00,
|
||||
lifetime_sales INT NOT NULL DEFAULT 0, lifetime_revenue NUMERIC(18, 4) NOT NULL DEFAULT 0.00,
|
||||
|
||||
-- Calculated KPIs (Based on 30d aggregates)
|
||||
avg_margin_30d NUMERIC(7, 3), -- (profit / revenue) * 100
|
||||
sales_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in sales units
|
||||
revenue_growth_30d_vs_prev NUMERIC(10, 2), -- % growth in revenue
|
||||
-- Add more KPIs if needed (e.g., avg product value, sell-through rate for brand)
|
||||
);
|
||||
CREATE INDEX idx_brand_metrics_active_count ON public.brand_metrics(active_product_count);
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user