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Debug splitting normal and metrics tables

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This commit is contained in:
Matt
2025-01-11 17:53:08 -05:00
parent 50ead64356
commit 1eccfe0b2c
7 changed files with 325 additions and 337 deletions
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77
inventory-server/scripts/calculate-metrics.js
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@@ -41,6 +41,7 @@ async function calculateMetrics() {
percentage: '0'
});
// Create and truncate tables one at a time
await connection.query(`
CREATE TABLE IF NOT EXISTS temp_sales_metrics (
product_id INT PRIMARY KEY,
@@ -49,8 +50,10 @@ async function calculateMetrics() {
average_price DECIMAL(10,2) DEFAULT 0.00,
last_sale_date DATE,
sales_rank INT
);
)
`);
await connection.query(`
CREATE TABLE IF NOT EXISTS temp_purchase_metrics (
product_id INT PRIMARY KEY,
total_quantity_purchased INT DEFAULT 0,
@@ -58,12 +61,12 @@ async function calculateMetrics() {
average_cost DECIMAL(10,2) DEFAULT 0.00,
last_purchase_date DATE,
purchase_rank INT
);
TRUNCATE TABLE temp_sales_metrics;
TRUNCATE TABLE temp_purchase_metrics;
)
`);
await connection.query('TRUNCATE TABLE temp_sales_metrics');
await connection.query('TRUNCATE TABLE temp_purchase_metrics');
// Calculate sales metrics
outputProgress({
status: 'running',
@@ -71,6 +74,7 @@ async function calculateMetrics() {
percentage: '20'
});
// First insert sales metrics
await connection.query(`
INSERT INTO temp_sales_metrics (
product_id,
@@ -87,21 +91,26 @@ async function calculateMetrics() {
MAX(date) as last_sale_date
FROM orders
WHERE canceled = 0
GROUP BY product_id;
UPDATE temp_sales_metrics
SET sales_rank = (
SELECT rank
FROM (
SELECT
product_id,
RANK() OVER (ORDER BY total_revenue DESC) as rank
FROM temp_sales_metrics
) rankings
WHERE rankings.product_id = temp_sales_metrics.product_id
);
GROUP BY product_id
`);
// Then update sales rank using a temporary table
await connection.query(`
CREATE TEMPORARY TABLE sales_rankings AS
SELECT
product_id,
RANK() OVER (ORDER BY total_revenue DESC) as rank
FROM temp_sales_metrics
`);
await connection.query(`
UPDATE temp_sales_metrics t
JOIN sales_rankings r ON t.product_id = r.product_id
SET t.sales_rank = r.rank
`);
await connection.query(`DROP TEMPORARY TABLE sales_rankings`);
// Calculate purchase metrics
outputProgress({
status: 'running',
@@ -109,6 +118,7 @@ async function calculateMetrics() {
percentage: '40'
});
// First insert purchase metrics
await connection.query(`
INSERT INTO temp_purchase_metrics (
product_id,
@@ -125,21 +135,26 @@ async function calculateMetrics() {
MAX(received_date) as last_purchase_date
FROM purchase_orders
WHERE status = 'closed' AND received > 0
GROUP BY product_id;
UPDATE temp_purchase_metrics
SET purchase_rank = (
SELECT rank
FROM (
SELECT
product_id,
RANK() OVER (ORDER BY total_cost DESC) as rank
FROM temp_purchase_metrics
) rankings
WHERE rankings.product_id = temp_purchase_metrics.product_id
);
GROUP BY product_id
`);
// Then update purchase rank using a temporary table
await connection.query(`
CREATE TEMPORARY TABLE purchase_rankings AS
SELECT
product_id,
RANK() OVER (ORDER BY total_cost DESC) as rank
FROM temp_purchase_metrics
`);
await connection.query(`
UPDATE temp_purchase_metrics t
JOIN purchase_rankings r ON t.product_id = r.product_id
SET t.purchase_rank = r.rank
`);
await connection.query(`DROP TEMPORARY TABLE purchase_rankings`);
// Update product metrics
outputProgress({
status: 'running',