113 lines
3.5 KiB
Python
113 lines
3.5 KiB
Python
# Copyright (c) 2013, Web Notes Technologies Pvt. Ltd. and Contributors
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# License: GNU General Public License v3. See license.txt
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from __future__ import unicode_literals
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import frappe
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from frappe import _
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from frappe.utils import flt
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def execute(filters=None):
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if not filters: filters = {}
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columns = get_columns(filters)
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item_map = get_item_details(filters)
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iwb_map = get_item_warehouse_map(filters)
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data = []
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for company in sorted(iwb_map):
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for item in sorted(iwb_map[company]):
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for wh in sorted(iwb_map[company][item]):
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qty_dict = iwb_map[company][item][wh]
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data.append([item, item_map[item]["item_name"],
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item_map[item]["item_group"],
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item_map[item]["brand"],
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item_map[item]["description"], wh,
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item_map[item]["stock_uom"], qty_dict.opening_qty,
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qty_dict.opening_val, qty_dict.in_qty,
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qty_dict.in_val, qty_dict.out_qty,
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qty_dict.out_val, qty_dict.bal_qty,
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qty_dict.bal_val, qty_dict.val_rate,
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company
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])
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return columns, data
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def get_columns(filters):
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"""return columns based on filters"""
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columns = ["Item:Link/Item:100", "Item Name::150", "Item Group::100", "Brand::90", \
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"Description::140", "Warehouse:Link/Warehouse:100", "Stock UOM:Link/UOM:90", "Opening Qty:Float:100", \
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"Opening Value:Float:110", "In Qty:Float:80", "In Value:Float:80", "Out Qty:Float:80", \
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"Out Value:Float:80", "Balance Qty:Float:100", "Balance Value:Float:100", \
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"Valuation Rate:Float:90", "Company:Link/Company:100"]
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return columns
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def get_conditions(filters):
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conditions = ""
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if not filters.get("from_date"):
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frappe.throw(_("'From Date' is required"))
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if filters.get("to_date"):
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conditions += " and posting_date <= '%s'" % filters["to_date"]
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else:
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frappe.throw(_("'To Date' is required"))
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return conditions
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#get all details
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def get_stock_ledger_entries(filters):
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conditions = get_conditions(filters)
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return frappe.db.sql("""select item_code, warehouse, posting_date, actual_qty, valuation_rate,
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company, voucher_type, qty_after_transaction, stock_value_difference
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from `tabStock Ledger Entry`
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where docstatus < 2 %s order by posting_date, posting_time, name""" %
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conditions, as_dict=1)
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def get_item_warehouse_map(filters):
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sle = get_stock_ledger_entries(filters)
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iwb_map = {}
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for d in sle:
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iwb_map.setdefault(d.company, {}).setdefault(d.item_code, {}).\
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setdefault(d.warehouse, frappe._dict({\
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"opening_qty": 0.0, "opening_val": 0.0,
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"in_qty": 0.0, "in_val": 0.0,
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"out_qty": 0.0, "out_val": 0.0,
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"bal_qty": 0.0, "bal_val": 0.0,
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"val_rate": 0.0, "uom": None
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}))
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qty_dict = iwb_map[d.company][d.item_code][d.warehouse]
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if d.voucher_type == "Stock Reconciliation":
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qty_diff = flt(d.qty_after_transaction) - qty_dict.bal_qty
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else:
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qty_diff = flt(d.actual_qty)
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value_diff = flt(d.stock_value_difference)
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if d.posting_date < filters["from_date"]:
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qty_dict.opening_qty += qty_diff
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qty_dict.opening_val += value_diff
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elif d.posting_date >= filters["from_date"] and d.posting_date <= filters["to_date"]:
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qty_dict.val_rate = d.valuation_rate
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if qty_diff > 0:
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qty_dict.in_qty += qty_diff
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qty_dict.in_val += value_diff
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else:
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qty_dict.out_qty += abs(qty_diff)
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qty_dict.out_val += abs(value_diff)
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qty_dict.bal_qty += qty_diff
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qty_dict.bal_val += value_diff
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return iwb_map
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def get_item_details(filters):
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item_map = {}
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for d in frappe.db.sql("select name, item_name, stock_uom, item_group, brand, \
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description from tabItem", as_dict=1):
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item_map.setdefault(d.name, d)
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return item_map
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