grocy/migrations/0103.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
);

ALTER TABLE products RENAME TO products_old;

--Remove barcode column
--Reorder columns

CREATE TABLE products (
	id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
	name TEXT NOT NULL UNIQUE,
	description TEXT,
	product_group_id INTEGER,
	location_id INTEGER NOT NULL,
	shopping_location_id INTEGER,
	qu_id_purchase INTEGER NOT NULL,
	qu_id_stock INTEGER NOT NULL,
	qu_factor_purchase_to_stock REAL NOT NULL,
	min_stock_amount INTEGER NOT NULL DEFAULT 0,
	default_best_before_days INTEGER NOT NULL DEFAULT 0,
	default_best_before_days_after_open INTEGER NOT NULL DEFAULT 0,
	default_best_before_days_after_freezing INTEGER NOT NULL DEFAULT 0,
	default_best_before_days_after_thawing INTEGER NOT NULL DEFAULT 0,
	row_created_timestamp DATETIME DEFAULT (datetime('now', 'localtime')),
	picture_file_name TEXT,
	allow_partial_units_in_stock TINYINT NOT NULL DEFAULT 0,
	enable_tare_weight_handling TINYINT NOT NULL DEFAULT 0,
	tare_weight REAL NOT NULL DEFAULT 0,
	not_check_stock_fulfillment_for_recipes TINYINT DEFAULT 0,
	parent_product_id INT,
	calories INTEGER,
	cumulate_min_stock_amount_of_sub_products TINYINT DEFAULT 0);

INSERT INTO products
	(id,name,description,location_id,qu_id_purchase,qu_id_stock,qu_factor_purchase_to_stock,min_stock_amount,default_best_before_days,row_created_timestamp,product_group_id,picture_file_name,default_best_before_days_after_open,allow_partial_units_in_stock,enable_tare_weight_handling,tare_weight,not_check_stock_fulfillment_for_recipes,parent_product_id,calories,cumulate_min_stock_amount_of_sub_products,default_best_before_days_after_freezing,default_best_before_days_after_thawing,shopping_location_id)
SELECT id,name,description,location_id,qu_id_purchase,qu_id_stock,qu_factor_purchase_to_stock,min_stock_amount,default_best_before_days,row_created_timestamp,product_group_id,picture_file_name,default_best_before_days_after_open,allow_partial_units_in_stock,enable_tare_weight_handling,tare_weight,not_check_stock_fulfillment_for_recipes,parent_product_id,calories,cumulate_min_stock_amount_of_sub_products,default_best_before_days_after_freezing,default_best_before_days_after_thawing,shopping_location_id
FROM products_old;

DROP TABLE products_old;

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;