grocy/migrations/0103.sql
2020-08-04 22:36:19 -05:00

90 lines
3.7 KiB
SQL

ALTER TABLE stock_log
ADD qu_factor_purchase_to_stock REAL NOT NULL DEFAULT 1.0;
ALTER TABLE stock
ADD qu_factor_purchase_to_stock REAL NOT NULL DEFAULT 1.0;
UPDATE stock
SET qu_factor_purchase_to_stock = (select qu_factor_purchase_to_stock from products where product_id = id);
UPDATE stock_log
SET qu_factor_purchase_to_stock = (select qu_factor_purchase_to_stock from products where product_id = id);
--Price is now going forward to be saved as 1 QU Stock
update stock
SET price = ROUND(price / qu_factor_purchase_to_stock,2);
update stock_log
SET price = ROUND(price / qu_factor_purchase_to_stock,2);
CREATE TABLE product_barcodes (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
product_id INT NOT NULL,
barcode TEXT NOT NULL UNIQUE,
qu_factor_purchase_to_stock REAL NOT NULL DEFAULT 1,
shopping_location_id INTEGER
);
DROP VIEW stock_current_location_content;
CREATE VIEW stock_current_location_content
AS
SELECT
IFNULL(s.location_id, p.location_id) AS location_id,
s.product_id,
SUM(s.amount) AS amount,
ROUND(SUM(s.amount / s.qu_factor_purchase_to_stock),2) as factor_purchase_amount,
ROUND(SUM(IFNULL(s.price, 0) * s.amount),2) AS value,
MIN(s.best_before_date) AS best_before_date,
IFNULL((SELECT SUM(amount) FROM stock WHERE product_id = s.product_id AND location_id = s.location_id AND open = 1), 0) AS amount_opened
FROM stock s
JOIN products p
ON s.product_id = p.id
GROUP BY IFNULL(s.location_id, p.location_id), s.product_id;
DROP VIEW stock_current;
CREATE VIEW stock_current
AS
SELECT
pr.parent_product_id AS product_id,
IFNULL((SELECT SUM(amount) FROM stock WHERE product_id = pr.parent_product_id), 0) AS amount,
IFNULL(ROUND((SELECT SUM(amount / qu_factor_purchase_to_stock) FROM stock WHERE product_id = pr.parent_product_id),2), 0) as factor_purchase_amount,
SUM(s.amount) * IFNULL(qucr.factor, 1) AS amount_aggregated,
IFNULL(ROUND((SELECT SUM(IFNULL(price,0) * amount) FROM stock WHERE product_id = pr.parent_product_id),2), 0) AS value,
MIN(s.best_before_date) AS best_before_date,
IFNULL((SELECT SUM(amount) FROM stock WHERE product_id = pr.parent_product_id AND open = 1), 0) AS amount_opened,
IFNULL((SELECT SUM(amount) FROM stock WHERE product_id IN (SELECT sub_product_id FROM products_resolved WHERE parent_product_id = pr.parent_product_id) AND open = 1), 0) * IFNULL(qucr.factor, 1) AS amount_opened_aggregated,
CASE WHEN p_sub.parent_product_id IS NOT NULL THEN 1 ELSE 0 END AS is_aggregated_amount
FROM products_resolved pr
JOIN stock s
ON pr.sub_product_id = s.product_id
JOIN products p_parent
ON pr.parent_product_id = p_parent.id
JOIN products p_sub
ON pr.sub_product_id = p_sub.id
LEFT JOIN quantity_unit_conversions_resolved qucr
ON pr.sub_product_id = qucr.product_id
AND p_sub.qu_id_stock = qucr.from_qu_id
AND p_parent.qu_id_stock = qucr.to_qu_id
GROUP BY pr.parent_product_id
HAVING SUM(s.amount) > 0
UNION
-- This is the same as above but sub products not rolled up (no QU conversion and column is_aggregated_amount = 0 here)
SELECT
pr.sub_product_id AS product_id,
SUM(s.amount) AS amount,
ROUND(SUM(s.amount / s.qu_factor_purchase_to_stock),2) as factor_purchase_amount,
SUM(s.amount) AS amount_aggregated,
ROUND(SUM(IFNULL(s.price, 0) * s.amount),2) AS value,
MIN(s.best_before_date) AS best_before_date,
IFNULL((SELECT SUM(amount) FROM stock WHERE product_id = s.product_id AND open = 1), 0) AS amount_opened,
IFNULL((SELECT SUM(amount) FROM stock WHERE product_id = s.product_id AND open = 1), 0) AS amount_opened_aggregated,
0 AS is_aggregated_amount
FROM products_resolved pr
JOIN stock s
ON pr.sub_product_id = s.product_id
WHERE pr.parent_product_id != pr.sub_product_id
GROUP BY pr.sub_product_id
HAVING SUM(s.amount) > 0;