# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt

from __future__ import unicode_literals
import frappe
from frappe import _

def execute(filters=None):
	validate_warehouse(filters)
	columns = get_columns()
	data = get_data(filters.warehouse)
	return columns, data

def validate_warehouse(filters):
	company = filters.company
	warehouse = filters.warehouse
	if not frappe.db.exists("Warehouse", {"name": warehouse, "company": company}):
		frappe.throw(_("Warehouse: {0} does not belong to {1}").format(warehouse, company))

def get_columns():
	columns = [
		{
			"label": _("Item Code"),
			"fieldname": "item_code",
			"fieldtype": "Link",
			"options": "Item",
			"width": 200
		},
		{
			"label": _("Item Name"),
			"fieldname": "item_name",
			"fieldtype": "Data",
			"width": 200
		},
		{
			"label": _("Serial No Count"),
			"fieldname": "total",
			"fieldtype": "Float",
			"width": 150
		},
		{
			"label": _("Stock Qty"),
			"fieldname": "stock_qty",
			"fieldtype": "Float",
			"width": 150
		},
		{
			"label": _("Difference"),
			"fieldname": "difference",
			"fieldtype": "Float",
			"width": 150
		},
	]

	return columns

def get_data(warehouse):
	serial_item_list = frappe.get_all("Item", filters={
		'has_serial_no': True,
	}, fields=['item_code', 'item_name'])
	
	status_list = ['Active', 'Expired']
	data = []
	for item in serial_item_list:
		total_serial_no = frappe.db.count("Serial No", 
			filters={"item_code": item.item_code, "status": ("in", status_list), "warehouse": warehouse})

		actual_qty = frappe.db.get_value('Bin', fieldname=['actual_qty'], 
			filters={"warehouse": warehouse, "item_code": item.item_code})

		# frappe.db.get_value returns null if no record exist.
		if not actual_qty:
			actual_qty = 0

		difference = total_serial_no - actual_qty

		row = {
			"item_code": item.item_code,
			"item_name": item.item_name,
			"total": total_serial_no,
			"stock_qty": actual_qty,
			"difference": difference,
		}

		data.append(row)

	return data