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Update frontend to match part 2

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Matt
2025-01-28 01:43:45 -05:00
parent 64d9ab2f83
commit 57b0e9a120
8 changed files with 82 additions and 76 deletions
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66
inventory-server/src/routes/analytics.js
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@@ -369,14 +369,16 @@ router.get('/pricing', async (req, res) => {
// Get price points analysis
const [pricePoints] = await pool.query(`
SELECT
p.price,
SUM(o.quantity) as salesVolume,
SUM(o.price * o.quantity) as revenue,
p.categories as category
CAST(p.price AS DECIMAL(15,3)) as price,
CAST(SUM(o.quantity) AS DECIMAL(15,3)) as salesVolume,
CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
c.name as category
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
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY p.price, p.categories
GROUP BY p.price, c.name
HAVING salesVolume > 0
ORDER BY revenue DESC
LIMIT 50
@@ -386,8 +388,8 @@ router.get('/pricing', async (req, res) => {
const [elasticity] = await pool.query(`
SELECT
DATE_FORMAT(o.date, '%Y-%m-%d') as date,
AVG(o.price) as price,
SUM(o.quantity) as demand
CAST(AVG(o.price) AS DECIMAL(15,3)) as price,
CAST(SUM(o.quantity) AS DECIMAL(15,3)) as demand
FROM orders o
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY DATE_FORMAT(o.date, '%Y-%m-%d')
@@ -398,21 +400,25 @@ router.get('/pricing', async (req, res) => {
const [recommendations] = await pool.query(`
SELECT
p.title as product,
p.price as currentPrice,
ROUND(
CASE
WHEN AVG(o.quantity) > 10 THEN p.price * 1.1
WHEN AVG(o.quantity) < 2 THEN p.price * 0.9
ELSE p.price
END, 2
CAST(p.price AS DECIMAL(15,3)) as currentPrice,
CAST(
ROUND(
CASE
WHEN AVG(o.quantity) > 10 THEN p.price * 1.1
WHEN AVG(o.quantity) < 2 THEN p.price * 0.9
ELSE p.price
END, 2
) AS DECIMAL(15,3)
) as recommendedPrice,
ROUND(
SUM(o.price * o.quantity) *
CASE
WHEN AVG(o.quantity) > 10 THEN 1.15
WHEN AVG(o.quantity) < 2 THEN 0.95
ELSE 1
END, 2
CAST(
ROUND(
SUM(o.price * o.quantity) *
CASE
WHEN AVG(o.quantity) > 10 THEN 1.15
WHEN AVG(o.quantity) < 2 THEN 0.95
ELSE 1
END, 2
) AS DECIMAL(15,3)
) as potentialRevenue,
CASE
WHEN AVG(o.quantity) > 10 THEN 85
@@ -422,9 +428,9 @@ router.get('/pricing', async (req, res) => {
FROM products p
LEFT JOIN orders o ON p.pid = o.pid
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY p.pid
GROUP BY p.pid, p.price
HAVING ABS(recommendedPrice - currentPrice) > 0
ORDER BY potentialRevenue - SUM(o.price * o.quantity) DESC
ORDER BY potentialRevenue - CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) DESC
LIMIT 10
`);
@@ -536,14 +542,14 @@ router.get('/forecast', async (req, res) => {
const [results] = await pool.query(`
WITH category_metrics AS (
SELECT
c.cat_id as category_id,
c.cat_id,
c.name as category_name,
p.brand,
COUNT(DISTINCT p.pid) as num_products,
COALESCE(ROUND(SUM(o.quantity) / DATEDIFF(?, ?), 2), 0) as avg_daily_sales,
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,
COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.pid), 2), 0) as avgTotalSold,
COALESCE(ROUND(AVG(o.price), 2), 0) as avg_price
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
@@ -564,7 +570,7 @@ router.get('/forecast', async (req, res) => {
pc.cat_id,
pm.first_received_date,
COALESCE(SUM(o.quantity), 0) as total_sold,
COALESCE(ROUND(AVG(o.price), 2), 0) as avg_price
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
@@ -589,8 +595,8 @@ router.get('/forecast', async (req, res) => {
)
) as products
FROM category_metrics cm
JOIN product_metrics pm ON cm.category_id = pm.cat_id
GROUP BY cm.category_id, cm.category_name, cm.brand, cm.num_products, cm.avg_daily_sales, cm.total_sold, cm.avgTotalSold, cm.avg_price
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]);