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Frontend fixes - categories, deal with new hierarchy, misc fixes

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This commit is contained in:
Matt
2025-01-28 17:02:11 -05:00
parent b1f252bea8
commit 1410dc5571
11 changed files with 750 additions and 487 deletions
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261
inventory-server/src/routes/analytics.js
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@@ -62,10 +62,30 @@ router.get('/profit', async (req, res) => {
try {
const pool = req.app.locals.pool;
// Get profit margins by category
// Get profit margins by category with full path
const [byCategory] = await pool.query(`
WITH RECURSIVE category_path AS (
SELECT
c.cat_id,
c.name,
c.parent_id,
CAST(c.name AS CHAR(1000)) as path
FROM categories c
WHERE c.parent_id IS NULL
UNION ALL
SELECT
c.cat_id,
c.name,
c.parent_id,
CONCAT(cp.path, ' > ', c.name)
FROM categories c
JOIN category_path cp ON c.parent_id = cp.cat_id
)
SELECT
c.name as category,
cp.path as categoryPath,
ROUND(
(SUM(o.price * o.quantity - p.cost_price * o.quantity) /
NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
@@ -76,8 +96,9 @@ router.get('/profit', async (req, res) => {
LEFT JOIN orders o ON p.pid = o.pid
JOIN product_categories pc ON p.pid = pc.pid
JOIN categories c ON pc.cat_id = c.cat_id
JOIN category_path cp ON c.cat_id = cp.cat_id
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY c.name
GROUP BY c.name, cp.path
ORDER BY profitMargin DESC
LIMIT 10
`);
@@ -106,10 +127,31 @@ router.get('/profit', async (req, res) => {
ORDER BY formatted_date
`);
// Get top performing products
// Get top performing products with category paths
const [topProducts] = await pool.query(`
WITH RECURSIVE category_path AS (
SELECT
c.cat_id,
c.name,
c.parent_id,
CAST(c.name AS CHAR(1000)) as path
FROM categories c
WHERE c.parent_id IS NULL
UNION ALL
SELECT
c.cat_id,
c.name,
c.parent_id,
CONCAT(cp.path, ' > ', c.name)
FROM categories c
JOIN category_path cp ON c.parent_id = cp.cat_id
)
SELECT
p.title as product,
c.name as category,
cp.path as categoryPath,
ROUND(
(SUM(o.price * o.quantity - p.cost_price * o.quantity) /
NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
@@ -118,8 +160,11 @@ router.get('/profit', async (req, res) => {
CAST(SUM(p.cost_price * o.quantity) AS DECIMAL(15,3)) as cost
FROM products p
LEFT JOIN orders o ON p.pid = o.pid
JOIN product_categories pc ON p.pid = pc.pid
JOIN categories c ON pc.cat_id = c.cat_id
JOIN category_path cp ON c.cat_id = cp.cat_id
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY p.pid, p.title
GROUP BY p.pid, p.title, c.name, cp.path
HAVING revenue > 0
ORDER BY profitMargin DESC
LIMIT 10
@@ -446,11 +491,36 @@ router.get('/categories', async (req, res) => {
try {
const pool = req.app.locals.pool;
// Get category performance metrics
// Common CTE for category paths
const categoryPathCTE = `
WITH RECURSIVE category_path AS (
SELECT
c.cat_id,
c.name,
c.parent_id,
CAST(c.name AS CHAR(1000)) as path
FROM categories c
WHERE c.parent_id IS NULL
UNION ALL
SELECT
c.cat_id,
c.name,
c.parent_id,
CONCAT(cp.path, ' > ', c.name)
FROM categories c
JOIN category_path cp ON c.parent_id = cp.cat_id
)
`;
// Get category performance metrics with full path
const [performance] = await pool.query(`
WITH monthly_sales AS (
${categoryPathCTE},
monthly_sales AS (
SELECT
c.name,
cp.path,
SUM(CASE
WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
THEN o.price * o.quantity
@@ -466,11 +536,13 @@ router.get('/categories', async (req, res) => {
LEFT JOIN orders o ON p.pid = o.pid
JOIN product_categories pc ON p.pid = pc.pid
JOIN categories c ON pc.cat_id = c.cat_id
JOIN category_path cp ON c.cat_id = cp.cat_id
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
GROUP BY c.name
GROUP BY c.name, cp.path
)
SELECT
c.name as category,
cp.path as categoryPath,
SUM(o.price * o.quantity) as revenue,
SUM(o.price * o.quantity - p.cost_price * o.quantity) as profit,
ROUND(
@@ -482,43 +554,51 @@ router.get('/categories', async (req, res) => {
LEFT JOIN orders o ON p.pid = o.pid
JOIN product_categories pc ON p.pid = pc.pid
JOIN categories c ON pc.cat_id = c.cat_id
LEFT JOIN monthly_sales ms ON c.name = ms.name
JOIN category_path cp ON c.cat_id = cp.cat_id
LEFT JOIN monthly_sales ms ON c.name = ms.name AND cp.path = ms.path
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
GROUP BY c.name, ms.current_month, ms.previous_month
GROUP BY c.name, cp.path, ms.current_month, ms.previous_month
HAVING revenue > 0
ORDER BY revenue DESC
LIMIT 10
`);
// Get category revenue distribution
// Get category revenue distribution with full path
const [distribution] = await pool.query(`
${categoryPathCTE}
SELECT
c.name as category,
cp.path as categoryPath,
SUM(o.price * o.quantity) as value
FROM products p
LEFT JOIN orders o ON p.pid = o.pid
JOIN product_categories pc ON p.pid = pc.pid
JOIN categories c ON pc.cat_id = c.cat_id
JOIN category_path cp ON c.cat_id = cp.cat_id
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY c.name
GROUP BY c.name, cp.path
HAVING value > 0
ORDER BY value DESC
LIMIT 6
`);
// Get category sales trends
// Get category sales trends with full path
const [trends] = await pool.query(`
${categoryPathCTE}
SELECT
c.name as category,
cp.path as categoryPath,
DATE_FORMAT(o.date, '%b %Y') as month,
SUM(o.price * o.quantity) as sales
FROM products p
LEFT JOIN orders o ON p.pid = o.pid
JOIN product_categories pc ON p.pid = pc.pid
JOIN categories c ON pc.cat_id = c.cat_id
JOIN category_path cp ON c.cat_id = cp.cat_id
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH)
GROUP BY
c.name,
cp.path,
DATE_FORMAT(o.date, '%b %Y'),
DATE_FORMAT(o.date, '%Y-%m')
ORDER BY
@@ -535,76 +615,97 @@ router.get('/categories', async (req, res) => {
// Forecast endpoint
router.get('/forecast', async (req, res) => {
try {
const { brand, startDate, endDate } = req.query;
const pool = req.app.locals.pool;
try {
const { brand, startDate, endDate } = req.query;
const pool = req.app.locals.pool;
const [results] = await pool.query(`
WITH category_metrics AS (
SELECT
c.cat_id,
c.name as category_name,
p.brand,
COUNT(DISTINCT p.pid) as num_products,
CAST(COALESCE(ROUND(SUM(o.quantity) / DATEDIFF(?, ?), 2), 0) AS DECIMAL(15,3)) as avg_daily_sales,
COALESCE(SUM(o.quantity), 0) as total_sold,
CAST(COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.pid), 2), 0) AS DECIMAL(15,3)) as avgTotalSold,
CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
FROM categories c
JOIN product_categories pc ON c.cat_id = pc.cat_id
JOIN products p ON pc.pid = p.pid
LEFT JOIN product_metrics pm ON p.pid = pm.pid
LEFT JOIN orders o ON p.pid = o.pid
AND o.date BETWEEN ? AND ?
AND o.canceled = false
WHERE p.brand = ?
AND pm.first_received_date BETWEEN ? AND ?
GROUP BY c.cat_id, c.name, p.brand
),
product_metrics AS (
SELECT
p.pid,
p.title,
p.SKU,
p.stock_quantity,
pc.cat_id,
pm.first_received_date,
COALESCE(SUM(o.quantity), 0) as total_sold,
CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
FROM products p
JOIN product_categories pc ON p.pid = pc.pid
JOIN product_metrics pm ON p.pid = pm.pid
LEFT JOIN orders o ON p.pid = o.pid
AND o.date BETWEEN ? AND ?
AND o.canceled = false
WHERE p.brand = ?
AND pm.first_received_date BETWEEN ? AND ?
GROUP BY p.pid, p.title, p.SKU, p.stock_quantity, pc.cat_id, pm.first_received_date
)
SELECT
cm.*,
JSON_ARRAYAGG(
JSON_OBJECT(
'pid', pm.pid,
'title', pm.title,
'SKU', pm.SKU,
'stock_quantity', pm.stock_quantity,
'total_sold', pm.total_sold,
'avg_price', pm.avg_price,
'first_received_date', DATE_FORMAT(pm.first_received_date, '%Y-%m-%d')
)
) as products
FROM category_metrics cm
JOIN product_metrics pm ON cm.cat_id = pm.cat_id
GROUP BY cm.cat_id, cm.category_name, cm.brand, cm.num_products, cm.avg_daily_sales, cm.total_sold, cm.avgTotalSold, cm.avg_price
ORDER BY cm.total_sold DESC
`, [startDate, endDate, startDate, endDate, brand, startDate, endDate, startDate, endDate, brand, startDate, endDate]);
const [results] = await pool.query(`
WITH RECURSIVE category_path AS (
SELECT
c.cat_id,
c.name,
c.parent_id,
CAST(c.name AS CHAR(1000)) as path
FROM categories c
WHERE c.parent_id IS NULL
UNION ALL
SELECT
c.cat_id,
c.name,
c.parent_id,
CONCAT(cp.path, ' > ', c.name)
FROM categories c
JOIN category_path cp ON c.parent_id = cp.cat_id
),
category_metrics AS (
SELECT
c.cat_id,
c.name as category_name,
cp.path,
p.brand,
COUNT(DISTINCT p.pid) as num_products,
CAST(COALESCE(ROUND(SUM(o.quantity) / DATEDIFF(?, ?), 2), 0) AS DECIMAL(15,3)) as avg_daily_sales,
COALESCE(SUM(o.quantity), 0) as total_sold,
CAST(COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.pid), 2), 0) AS DECIMAL(15,3)) as avgTotalSold,
CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
FROM categories c
JOIN product_categories pc ON c.cat_id = pc.cat_id
JOIN products p ON pc.pid = p.pid
JOIN category_path cp ON c.cat_id = cp.cat_id
LEFT JOIN product_metrics pmet ON p.pid = pmet.pid
LEFT JOIN orders o ON p.pid = o.pid
AND o.date BETWEEN ? AND ?
AND o.canceled = false
WHERE p.brand = ?
AND pmet.first_received_date BETWEEN ? AND ?
GROUP BY c.cat_id, c.name, cp.path, p.brand
),
product_details AS (
SELECT
p.pid,
p.title,
p.SKU,
p.stock_quantity,
pc.cat_id,
pmet.first_received_date,
COALESCE(SUM(o.quantity), 0) as total_sold,
CAST(COALESCE(ROUND(AVG(o.price), 2), 0) AS DECIMAL(15,3)) as avg_price
FROM products p
JOIN product_categories pc ON p.pid = pc.pid
JOIN product_metrics pmet ON p.pid = pmet.pid
LEFT JOIN orders o ON p.pid = o.pid
AND o.date BETWEEN ? AND ?
AND o.canceled = false
WHERE p.brand = ?
AND pmet.first_received_date BETWEEN ? AND ?
GROUP BY p.pid, p.title, p.SKU, p.stock_quantity, pc.cat_id, pmet.first_received_date
)
SELECT
cm.*,
JSON_ARRAYAGG(
JSON_OBJECT(
'pid', pd.pid,
'title', pd.title,
'SKU', pd.SKU,
'stock_quantity', pd.stock_quantity,
'total_sold', pd.total_sold,
'avg_price', pd.avg_price,
'first_received_date', DATE_FORMAT(pd.first_received_date, '%Y-%m-%d')
)
) as products
FROM category_metrics cm
JOIN product_details pd ON cm.cat_id = pd.cat_id
GROUP BY cm.cat_id, cm.category_name, cm.path, cm.brand, cm.num_products, cm.avg_daily_sales, cm.total_sold, cm.avgTotalSold, cm.avg_price
ORDER BY cm.total_sold DESC
`, [endDate, startDate, startDate, endDate, brand, startDate, endDate, startDate, endDate, brand, startDate, endDate]);
res.json(results);
} catch (error) {
console.error('Error fetching forecast data:', error);
res.status(500).json({ error: 'Failed to fetch forecast data' });
}
res.json(results);
} catch (error) {
console.error('Error fetching forecast data:', error);
res.status(500).json({ error: 'Failed to fetch forecast data' });
}
});
module.exports = router;