Files
inventory/inventory-server/src/routes/brandsAggregate.js
2025-06-19 15:49:31 -04:00

284 lines
12 KiB
JavaScript

const express = require('express');
const router = express.Router();
const { parseValue } = require('../utils/apiHelpers'); // Adjust path if needed
// --- Configuration & Helpers ---
const DEFAULT_PAGE_LIMIT = 50;
const MAX_PAGE_LIMIT = 200;
// Maps query keys to DB columns in brand_metrics
const COLUMN_MAP = {
brandName: { dbCol: 'bm.brand_name', type: 'string' },
productCount: { dbCol: 'bm.product_count', type: 'number' },
activeProductCount: { dbCol: 'bm.active_product_count', type: 'number' },
replenishableProductCount: { dbCol: 'bm.replenishable_product_count', type: 'number' },
currentStockUnits: { dbCol: 'bm.current_stock_units', type: 'number' },
currentStockCost: { dbCol: 'bm.current_stock_cost', type: 'number' },
currentStockRetail: { dbCol: 'bm.current_stock_retail', type: 'number' },
sales7d: { dbCol: 'bm.sales_7d', type: 'number' },
revenue7d: { dbCol: 'bm.revenue_7d', type: 'number' },
sales30d: { dbCol: 'bm.sales_30d', type: 'number' },
revenue30d: { dbCol: 'bm.revenue_30d', type: 'number' },
profit30d: { dbCol: 'bm.profit_30d', type: 'number' },
cogs30d: { dbCol: 'bm.cogs_30d', type: 'number' },
sales365d: { dbCol: 'bm.sales_365d', type: 'number' },
revenue365d: { dbCol: 'bm.revenue_365d', type: 'number' },
lifetimeSales: { dbCol: 'bm.lifetime_sales', type: 'number' },
lifetimeRevenue: { dbCol: 'bm.lifetime_revenue', type: 'number' },
avgMargin30d: { dbCol: 'bm.avg_margin_30d', type: 'number' },
// Growth metrics
salesGrowth30dVsPrev: { dbCol: 'bm.sales_growth_30d_vs_prev', type: 'number' },
revenueGrowth30dVsPrev: { dbCol: 'bm.revenue_growth_30d_vs_prev', type: 'number' },
// Add aliases if needed
name: { dbCol: 'bm.brand_name', type: 'string' },
// Add status for filtering
status: { dbCol: 'brand_status', type: 'string' },
};
function getSafeColumnInfo(queryParamKey) {
return COLUMN_MAP[queryParamKey] || null;
}
// --- Route Handlers ---
// GET /brands-aggregate/filter-options (Just brands list for now)
router.get('/filter-options', async (req, res) => {
const pool = req.app.locals.pool;
console.log('GET /brands-aggregate/filter-options');
try {
// Get brand names
const { rows: brandRows } = await pool.query(`
SELECT DISTINCT brand_name FROM public.brand_metrics ORDER BY brand_name
`);
// Get status values - calculate them since they're derived
const { rows: statusRows } = await pool.query(`
SELECT DISTINCT
CASE
WHEN active_product_count > 0 AND sales_30d > 0 THEN 'active'
WHEN active_product_count > 0 THEN 'inactive'
ELSE 'pending'
END as status
FROM public.brand_metrics
ORDER BY status
`);
res.json({
brands: brandRows.map(r => r.brand_name),
statuses: statusRows.map(r => r.status)
});
} catch(error) {
console.error('Error fetching brand filter options:', error);
res.status(500).json({ error: 'Failed to fetch filter options' });
}
});
// GET /brands-aggregate/stats (Overall brand stats)
router.get('/stats', async (req, res) => {
const pool = req.app.locals.pool;
console.log('GET /brands-aggregate/stats');
try {
const { rows: [stats] } = await pool.query(`
SELECT
COUNT(*) AS total_brands,
COUNT(CASE WHEN active_product_count > 0 THEN 1 END) AS active_brands,
SUM(active_product_count) AS total_active_products,
SUM(current_stock_cost) AS total_stock_value,
-- Weighted Average Margin
SUM(profit_30d) * 100.0 / NULLIF(SUM(revenue_30d), 0) AS overall_avg_margin_weighted
FROM public.brand_metrics bm
`);
res.json({
totalBrands: parseInt(stats?.total_brands || 0),
activeBrands: parseInt(stats?.active_brands || 0),
totalActiveProducts: parseInt(stats?.total_active_products || 0),
totalValue: parseFloat(stats?.total_stock_value || 0),
avgMargin: parseFloat(stats?.overall_avg_margin_weighted || 0),
});
} catch (error) {
console.error('Error fetching brand stats:', error);
res.status(500).json({ error: 'Failed to fetch brand stats.' });
}
});
// GET /brands-aggregate/ (List brands)
router.get('/', async (req, res) => {
const pool = req.app.locals.pool;
console.log('GET /brands-aggregate received query:', req.query);
try {
// --- Pagination ---
let page = parseInt(req.query.page, 10) || 1;
let limit = parseInt(req.query.limit, 10) || DEFAULT_PAGE_LIMIT;
limit = Math.min(limit, MAX_PAGE_LIMIT);
const offset = (page - 1) * limit;
// --- Sorting ---
const sortQueryKey = req.query.sort || 'brandName'; // Default sort
const sortColumnInfo = getSafeColumnInfo(sortQueryKey);
const sortColumn = sortColumnInfo ? sortColumnInfo.dbCol : 'bm.brand_name';
const sortDirection = req.query.order?.toLowerCase() === 'desc' ? 'DESC' : 'ASC';
const nullsOrder = (sortDirection === 'ASC' ? 'NULLS FIRST' : 'NULLS LAST');
const sortClause = `ORDER BY ${sortColumn} ${sortDirection} ${nullsOrder}`;
// --- Filtering ---
const conditions = [];
const params = [];
let paramCounter = 1;
// Build conditions based on req.query, using COLUMN_MAP and parseValue
for (const key in req.query) {
if (['page', 'limit', 'sort', 'order'].includes(key)) continue;
let filterKey = key;
let operator = '='; // Default operator
const value = req.query[key];
const operatorMatch = key.match(/^(.*)_(eq|ne|gt|gte|lt|lte|like|ilike|between|in)$/);
if (operatorMatch) {
filterKey = operatorMatch[1];
operator = operatorMatch[2];
}
const columnInfo = getSafeColumnInfo(filterKey);
if (columnInfo) {
const dbColumn = columnInfo.dbCol;
const valueType = columnInfo.type;
try {
let conditionFragment = '';
let needsParam = true;
switch (operator.toLowerCase()) { // Normalize operator
case 'eq': operator = '='; break;
case 'ne': operator = '<>'; break;
case 'gt': operator = '>'; break;
case 'gte': operator = '>='; break;
case 'lt': operator = '<'; break;
case 'lte': operator = '<='; break;
case 'like': operator = 'LIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
case 'ilike': operator = 'ILIKE'; needsParam=false; params.push(`%${parseValue(value, valueType)}%`); break;
case 'between':
const [val1, val2] = String(value).split(',');
if (val1 !== undefined && val2 !== undefined) {
conditionFragment = `${dbColumn} BETWEEN $${paramCounter++} AND $${paramCounter++}`;
params.push(parseValue(val1, valueType), parseValue(val2, valueType));
needsParam = false;
} else continue;
break;
case 'in':
const inValues = String(value).split(',');
if (inValues.length > 0) {
const placeholders = inValues.map(() => `$${paramCounter++}`).join(', ');
conditionFragment = `${dbColumn} IN (${placeholders})`;
params.push(...inValues.map(v => parseValue(v, valueType)));
needsParam = false;
} else continue;
break;
default: operator = '='; break;
}
if (needsParam) {
conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
params.push(parseValue(value, valueType));
} else if (!conditionFragment) { // For LIKE/ILIKE
conditionFragment = `${dbColumn} ${operator} $${paramCounter++}`;
}
if (conditionFragment) {
conditions.push(`(${conditionFragment})`);
}
} catch (parseError) {
console.warn(`Skipping filter for key "${key}" due to parsing error: ${parseError.message}`);
if (needsParam) paramCounter--;
}
} else {
console.warn(`Invalid filter key ignored: ${key}`);
}
}
// --- Execute Queries ---
const whereClause = conditions.length > 0 ? `WHERE ${conditions.join(' AND ')}` : '';
// Status calculation similar to vendors
const statusCase = `
CASE
WHEN active_product_count > 0 AND sales_30d > 0 THEN 'active'
WHEN active_product_count > 0 THEN 'inactive'
ELSE 'pending'
END as brand_status
`;
const baseSql = `
FROM (
SELECT
bm.*,
${statusCase}
FROM public.brand_metrics bm
) bm
${whereClause}
`;
const countSql = `SELECT COUNT(*) AS total ${baseSql}`;
const dataSql = `
WITH brand_data AS (
SELECT
bm.*,
${statusCase}
FROM public.brand_metrics bm
)
SELECT bm.*
FROM brand_data bm
${whereClause}
${sortClause}
LIMIT $${paramCounter} OFFSET $${paramCounter + 1}
`;
const dataParams = [...params, limit, offset];
console.log("Count SQL:", countSql, params);
console.log("Data SQL:", dataSql, dataParams);
const [countResult, dataResult] = await Promise.all([
pool.query(countSql, params),
pool.query(dataSql, dataParams)
]);
const total = parseInt(countResult.rows[0].total, 10);
const brands = dataResult.rows.map(row => {
// Create a new object with both snake_case and camelCase keys
const transformedRow = { ...row }; // Start with original data
for (const key in row) {
// Skip null/undefined values
if (row[key] === null || row[key] === undefined) {
continue; // Original already has the null value
}
// Transform keys to match frontend expectations (add camelCase versions)
// First handle cases like sales_7d -> sales7d
let camelKey = key.replace(/_(\d+[a-z])/g, '$1');
// Then handle regular snake_case -> camelCase
camelKey = camelKey.replace(/_([a-z])/g, (_, letter) => letter.toUpperCase());
if (camelKey !== key) { // Only add if different from original
transformedRow[camelKey] = row[key];
}
}
return transformedRow;
});
// --- Respond ---
res.json({
brands,
pagination: { total, pages: Math.ceil(total / limit), currentPage: page, limit },
});
} catch (error) {
console.error('Error fetching brand metrics list:', error);
res.status(500).json({ error: 'Failed to fetch brand metrics.' });
}
});
// GET /brands-aggregate/:name (Get single brand metric)
// Implement if needed, remember to URL-decode the name parameter
module.exports = router;