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Update frontend to match part 1

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Matt
2025-01-28 01:30:48 -05:00
parent 8323ae7703
commit 64d9ab2f83
25 changed files with 936 additions and 686 deletions
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150
inventory-server/src/routes/analytics.js
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@@ -36,7 +36,7 @@ router.get('/stats', async (req, res) => {
0
) as averageOrderValue
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
`);
@@ -70,12 +70,12 @@ router.get('/profit', async (req, res) => {
(SUM(o.price * o.quantity - p.cost_price * o.quantity) /
NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
) as profitMargin,
SUM(o.price * o.quantity) as revenue,
SUM(p.cost_price * o.quantity) as cost
CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
CAST(SUM(p.cost_price * o.quantity) AS DECIMAL(15,3)) as cost
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
JOIN product_categories pc ON p.product_id = pc.product_id
JOIN categories c ON pc.category_id = c.id
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 c.name
ORDER BY profitMargin DESC
@@ -90,10 +90,10 @@ router.get('/profit', async (req, res) => {
(SUM(o.price * o.quantity - p.cost_price * o.quantity) /
NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
) as profitMargin,
SUM(o.price * o.quantity) as revenue,
SUM(p.cost_price * o.quantity) as cost
CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
CAST(SUM(p.cost_price * o.quantity) AS DECIMAL(15,3)) as cost
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
CROSS JOIN (
SELECT DATE_FORMAT(o.date, '%Y-%m-%d') as formatted_date
FROM orders o
@@ -114,12 +114,12 @@ router.get('/profit', async (req, res) => {
(SUM(o.price * o.quantity - p.cost_price * o.quantity) /
NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
) as profitMargin,
SUM(o.price * o.quantity) as revenue,
SUM(p.cost_price * o.quantity) as cost
CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as revenue,
CAST(SUM(p.cost_price * o.quantity) AS DECIMAL(15,3)) as cost
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY p.product_id, p.title
GROUP BY p.pid, p.title
HAVING revenue > 0
ORDER BY profitMargin DESC
LIMIT 10
@@ -144,7 +144,7 @@ router.get('/vendors', async (req, res) => {
SELECT COUNT(DISTINCT p.vendor) as vendor_count,
COUNT(DISTINCT o.order_number) as order_count
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE p.vendor IS NOT NULL
`);
@@ -155,26 +155,26 @@ router.get('/vendors', async (req, res) => {
WITH monthly_sales AS (
SELECT
p.vendor,
SUM(CASE
CAST(SUM(CASE
WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
THEN o.price * o.quantity
ELSE 0
END) as current_month,
SUM(CASE
END) AS DECIMAL(15,3)) as current_month,
CAST(SUM(CASE
WHEN o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
AND o.date < DATE_SUB(CURDATE(), INTERVAL 30 DAY)
THEN o.price * o.quantity
ELSE 0
END) as previous_month
END) AS DECIMAL(15,3)) as previous_month
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE p.vendor IS NOT NULL
AND o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
GROUP BY p.vendor
)
SELECT
p.vendor,
SUM(o.price * o.quantity) as salesVolume,
CAST(SUM(o.price * o.quantity) AS DECIMAL(15,3)) as salesVolume,
COALESCE(ROUND(
(SUM(o.price * o.quantity - p.cost_price * o.quantity) /
NULLIF(SUM(o.price * o.quantity), 0)) * 100, 1
@@ -182,13 +182,13 @@ router.get('/vendors', async (req, res) => {
COALESCE(ROUND(
SUM(o.quantity) / NULLIF(AVG(p.stock_quantity), 0), 1
), 0) as stockTurnover,
COUNT(DISTINCT p.product_id) as productCount,
COUNT(DISTINCT p.pid) as productCount,
ROUND(
((ms.current_month / NULLIF(ms.previous_month, 0)) - 1) * 100,
1
) as growth
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
LEFT JOIN monthly_sales ms ON p.vendor = ms.vendor
WHERE p.vendor IS NOT NULL
AND o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
@@ -203,11 +203,11 @@ router.get('/vendors', async (req, res) => {
const [comparison] = await pool.query(`
SELECT
p.vendor,
COALESCE(ROUND(SUM(o.price * o.quantity) / NULLIF(COUNT(DISTINCT p.product_id), 0), 2), 0) as salesPerProduct,
CAST(COALESCE(ROUND(SUM(o.price * o.quantity) / NULLIF(COUNT(DISTINCT p.pid), 0), 2), 0) AS DECIMAL(15,3)) as salesPerProduct,
COALESCE(ROUND(AVG((o.price - p.cost_price) / NULLIF(o.price, 0) * 100), 1), 0) as averageMargin,
COUNT(DISTINCT p.product_id) as size
COUNT(DISTINCT p.pid) as size
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id AND o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
LEFT JOIN orders o ON p.pid = o.pid AND o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
WHERE p.vendor IS NOT NULL
GROUP BY p.vendor
ORDER BY salesPerProduct DESC
@@ -221,9 +221,9 @@ router.get('/vendors', async (req, res) => {
SELECT
p.vendor,
DATE_FORMAT(o.date, '%b %Y') as month,
COALESCE(SUM(o.price * o.quantity), 0) as sales
CAST(COALESCE(SUM(o.price * o.quantity), 0) AS DECIMAL(15,3)) as sales
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE p.vendor IS NOT NULL
AND o.date >= DATE_SUB(CURDATE(), INTERVAL 6 MONTH)
GROUP BY
@@ -272,9 +272,9 @@ router.get('/stock', async (req, res) => {
ROUND(AVG(p.stock_quantity), 0) as averageStock,
SUM(o.quantity) as totalSales
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
JOIN product_categories pc ON p.product_id = pc.product_id
JOIN categories c ON pc.category_id = c.id
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 ? DAY)
GROUP BY c.name
HAVING turnoverRate > 0
@@ -290,7 +290,7 @@ router.get('/stock', async (req, res) => {
SUM(CASE WHEN p.stock_quantity <= ? AND p.stock_quantity > 0 THEN 1 ELSE 0 END) as lowStock,
SUM(CASE WHEN p.stock_quantity = 0 THEN 1 ELSE 0 END) as outOfStock
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY)
GROUP BY DATE_FORMAT(o.date, '%Y-%m-%d')
ORDER BY date
@@ -304,25 +304,25 @@ router.get('/stock', async (req, res) => {
const [criticalItems] = await pool.query(`
WITH product_thresholds AS (
SELECT
p.product_id,
p.pid,
COALESCE(
(SELECT reorder_days
FROM stock_thresholds st
JOIN product_categories pc ON st.category_id = pc.category_id
WHERE pc.product_id = p.product_id
JOIN product_categories pc ON st.cat_id = pc.cat_id
WHERE pc.pid = p.pid
AND st.vendor = p.vendor LIMIT 1),
(SELECT reorder_days
FROM stock_thresholds st
JOIN product_categories pc ON st.category_id = pc.category_id
WHERE pc.product_id = p.product_id
JOIN product_categories pc ON st.cat_id = pc.cat_id
WHERE pc.pid = p.pid
AND st.vendor IS NULL LIMIT 1),
(SELECT reorder_days
FROM stock_thresholds st
WHERE st.category_id IS NULL
WHERE st.cat_id IS NULL
AND st.vendor = p.vendor LIMIT 1),
(SELECT reorder_days
FROM stock_thresholds st
WHERE st.category_id IS NULL
WHERE st.cat_id IS NULL
AND st.vendor IS NULL LIMIT 1),
14
) as reorder_days
@@ -339,11 +339,11 @@ router.get('/stock', async (req, res) => {
ELSE ROUND(p.stock_quantity / NULLIF((SUM(o.quantity) / ?), 0))
END as daysUntilStockout
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
JOIN product_thresholds pt ON p.product_id = pt.product_id
LEFT JOIN orders o ON p.pid = o.pid
JOIN product_thresholds pt ON p.pid = pt.pid
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL ? DAY)
AND p.managing_stock = true
GROUP BY p.product_id
GROUP BY p.pid
HAVING daysUntilStockout < ? AND daysUntilStockout >= 0
ORDER BY daysUntilStockout
LIMIT 10
@@ -374,7 +374,7 @@ router.get('/pricing', async (req, res) => {
SUM(o.price * o.quantity) as revenue,
p.categories as category
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY p.price, p.categories
HAVING salesVolume > 0
@@ -420,9 +420,9 @@ router.get('/pricing', async (req, res) => {
ELSE 65
END as confidence
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
LEFT JOIN orders o ON p.pid = o.pid
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)
GROUP BY p.product_id
GROUP BY p.pid
HAVING ABS(recommendedPrice - currentPrice) > 0
ORDER BY potentialRevenue - SUM(o.price * o.quantity) DESC
LIMIT 10
@@ -457,9 +457,9 @@ router.get('/categories', async (req, res) => {
ELSE 0
END) as previous_month
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
JOIN product_categories pc ON p.product_id = pc.product_id
JOIN categories c ON pc.category_id = c.id
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 60 DAY)
GROUP BY c.name
)
@@ -471,11 +471,11 @@ router.get('/categories', async (req, res) => {
((ms.current_month / NULLIF(ms.previous_month, 0)) - 1) * 100,
1
) as growth,
COUNT(DISTINCT p.product_id) as productCount
COUNT(DISTINCT p.pid) as productCount
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
JOIN product_categories pc ON p.product_id = pc.product_id
JOIN categories c ON pc.category_id = c.id
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
WHERE o.date >= DATE_SUB(CURDATE(), INTERVAL 60 DAY)
GROUP BY c.name, ms.current_month, ms.previous_month
@@ -490,9 +490,9 @@ router.get('/categories', async (req, res) => {
c.name as category,
SUM(o.price * o.quantity) as value
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
JOIN product_categories pc ON p.product_id = pc.product_id
JOIN categories c ON pc.category_id = c.id
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 c.name
HAVING value > 0
@@ -507,9 +507,9 @@ router.get('/categories', async (req, res) => {
DATE_FORMAT(o.date, '%b %Y') as month,
SUM(o.price * o.quantity) as sales
FROM products p
LEFT JOIN orders o ON p.product_id = o.product_id
JOIN product_categories pc ON p.product_id = pc.product_id
JOIN categories c ON pc.category_id = c.id
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 6 MONTH)
GROUP BY
c.name,
@@ -536,52 +536,52 @@ router.get('/forecast', async (req, res) => {
const [results] = await pool.query(`
WITH category_metrics AS (
SELECT
c.id as category_id,
c.cat_id as category_id,
c.name as category_name,
p.brand,
COUNT(DISTINCT p.product_id) as num_products,
COUNT(DISTINCT p.pid) as num_products,
COALESCE(ROUND(SUM(o.quantity) / DATEDIFF(?, ?), 2), 0) as avg_daily_sales,
COALESCE(SUM(o.quantity), 0) as total_sold,
COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.product_id), 2), 0) as avgTotalSold,
COALESCE(ROUND(SUM(o.quantity) / COUNT(DISTINCT p.pid), 2), 0) as avgTotalSold,
COALESCE(ROUND(AVG(o.price), 2), 0) as avg_price
FROM categories c
JOIN product_categories pc ON c.id = pc.category_id
JOIN products p ON pc.product_id = p.product_id
LEFT JOIN product_metrics pm ON p.product_id = pm.product_id
LEFT JOIN orders o ON p.product_id = o.product_id
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.id, c.name, p.brand
GROUP BY c.cat_id, c.name, p.brand
),
product_metrics AS (
SELECT
p.product_id,
p.pid,
p.title,
p.sku,
p.SKU,
p.stock_quantity,
pc.category_id,
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
FROM products p
JOIN product_categories pc ON p.product_id = pc.product_id
JOIN product_metrics pm ON p.product_id = pm.product_id
LEFT JOIN orders o ON p.product_id = o.product_id
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.product_id, p.title, p.sku, p.stock_quantity, pc.category_id, pm.first_received_date
GROUP BY p.pid, p.title, p.SKU, p.stock_quantity, pc.cat_id, pm.first_received_date
)
SELECT
cm.*,
JSON_ARRAYAGG(
JSON_OBJECT(
'product_id', pm.product_id,
'pid', pm.pid,
'title', pm.title,
'sku', pm.sku,
'SKU', pm.SKU,
'stock_quantity', pm.stock_quantity,
'total_sold', pm.total_sold,
'avg_price', pm.avg_price,
@@ -589,7 +589,7 @@ router.get('/forecast', async (req, res) => {
)
) as products
FROM category_metrics cm
JOIN product_metrics pm ON cm.category_id = pm.category_id
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
ORDER BY cm.total_sold DESC
`, [startDate, endDate, startDate, endDate, brand, startDate, endDate, startDate, endDate, brand, startDate, endDate]);