116 lines
3.6 KiB
Python
116 lines
3.6 KiB
Python
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
|
|
# License: GNU General Public License v3. See license.txt
|
|
|
|
from __future__ import unicode_literals
|
|
import frappe
|
|
from frappe import _
|
|
from frappe.utils import flt, getdate
|
|
|
|
def execute(filters=None):
|
|
if not filters: filters = {}
|
|
|
|
columns = get_columns(filters)
|
|
item_map = get_item_details(filters)
|
|
iwb_map = get_item_warehouse_map(filters)
|
|
|
|
data = []
|
|
for company in sorted(iwb_map):
|
|
for item in sorted(iwb_map[company]):
|
|
for wh in sorted(iwb_map[company][item]):
|
|
qty_dict = iwb_map[company][item][wh]
|
|
data.append([item, item_map[item]["item_name"],
|
|
item_map[item]["item_group"],
|
|
item_map[item]["brand"],
|
|
item_map[item]["description"], wh,
|
|
item_map[item]["stock_uom"], qty_dict.opening_qty,
|
|
qty_dict.opening_val, qty_dict.in_qty,
|
|
qty_dict.in_val, qty_dict.out_qty,
|
|
qty_dict.out_val, qty_dict.bal_qty,
|
|
qty_dict.bal_val, qty_dict.val_rate,
|
|
company
|
|
])
|
|
|
|
return columns, data
|
|
|
|
def get_columns(filters):
|
|
"""return columns based on filters"""
|
|
|
|
columns = ["Item:Link/Item:100", "Item Name::150", "Item Group::100", "Brand::90", \
|
|
"Description::140", "Warehouse:Link/Warehouse:100", "Stock UOM:Link/UOM:90", "Opening Qty:Float:100", \
|
|
"Opening Value:Float:110", "In Qty:Float:80", "In Value:Float:80", "Out Qty:Float:80", \
|
|
"Out Value:Float:80", "Balance Qty:Float:100", "Balance Value:Float:100", \
|
|
"Valuation Rate:Float:90", "Company:Link/Company:100"]
|
|
|
|
return columns
|
|
|
|
def get_conditions(filters):
|
|
conditions = ""
|
|
if not filters.get("from_date"):
|
|
frappe.throw(_("'From Date' is required"))
|
|
|
|
if filters.get("to_date"):
|
|
conditions += " and posting_date <= '%s'" % filters["to_date"]
|
|
else:
|
|
frappe.throw(_("'To Date' is required"))
|
|
|
|
if filters.get("item_code"):
|
|
conditions += " and item_code = '%s'" % frappe.db.escape(filters.get("item_code"))
|
|
|
|
return conditions
|
|
|
|
#get all details
|
|
def get_stock_ledger_entries(filters):
|
|
conditions = get_conditions(filters)
|
|
return frappe.db.sql("""select item_code, warehouse, posting_date, actual_qty, valuation_rate,
|
|
company, voucher_type, qty_after_transaction, stock_value_difference
|
|
from `tabStock Ledger Entry`
|
|
where docstatus < 2 %s order by posting_date, posting_time, name""" %
|
|
conditions, as_dict=1)
|
|
|
|
def get_item_warehouse_map(filters):
|
|
sle = get_stock_ledger_entries(filters)
|
|
iwb_map = {}
|
|
|
|
for d in sle:
|
|
iwb_map.setdefault(d.company, {}).setdefault(d.item_code, {}).\
|
|
setdefault(d.warehouse, frappe._dict({\
|
|
"opening_qty": 0.0, "opening_val": 0.0,
|
|
"in_qty": 0.0, "in_val": 0.0,
|
|
"out_qty": 0.0, "out_val": 0.0,
|
|
"bal_qty": 0.0, "bal_val": 0.0,
|
|
"val_rate": 0.0, "uom": None
|
|
}))
|
|
qty_dict = iwb_map[d.company][d.item_code][d.warehouse]
|
|
|
|
if d.voucher_type == "Stock Reconciliation":
|
|
qty_diff = flt(d.qty_after_transaction) - qty_dict.bal_qty
|
|
else:
|
|
qty_diff = flt(d.actual_qty)
|
|
|
|
value_diff = flt(d.stock_value_difference)
|
|
|
|
if d.posting_date < getdate(filters["from_date"]):
|
|
qty_dict.opening_qty += qty_diff
|
|
qty_dict.opening_val += value_diff
|
|
elif d.posting_date >= getdate(filters["from_date"]) and d.posting_date <= getdate(filters["to_date"]):
|
|
if qty_diff > 0:
|
|
qty_dict.in_qty += qty_diff
|
|
qty_dict.in_val += value_diff
|
|
else:
|
|
qty_dict.out_qty += abs(qty_diff)
|
|
qty_dict.out_val += abs(value_diff)
|
|
|
|
qty_dict.val_rate = d.valuation_rate
|
|
qty_dict.bal_qty += qty_diff
|
|
qty_dict.bal_val += value_diff
|
|
|
|
return iwb_map
|
|
|
|
def get_item_details(filters):
|
|
item_map = {}
|
|
for d in frappe.db.sql("select name, item_name, stock_uom, item_group, brand, \
|
|
description from tabItem", as_dict=1):
|
|
item_map.setdefault(d.name, d)
|
|
|
|
return item_map
|