332 lines
11 KiB
Python
332 lines
11 KiB
Python
# Copyright (c) 2015, Frappe 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, erpnext
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from frappe import _
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import json
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from frappe.utils import flt, cstr, nowdate, nowtime
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from six import string_types
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class InvalidWarehouseCompany(frappe.ValidationError): pass
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def get_stock_value_from_bin(warehouse=None, item_code=None):
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values = {}
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conditions = ""
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if warehouse:
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conditions += """ and `tabBin`.warehouse in (
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select w2.name from `tabWarehouse` w1
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join `tabWarehouse` w2 on
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w1.name = %(warehouse)s
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and w2.lft between w1.lft and w1.rgt
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) """
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values['warehouse'] = warehouse
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if item_code:
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conditions += " and `tabBin`.item_code = %(item_code)s"
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values['item_code'] = item_code
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query = """select sum(stock_value) from `tabBin`, `tabItem` where 1 = 1
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and `tabItem`.name = `tabBin`.item_code and ifnull(`tabItem`.disabled, 0) = 0 %s""" % conditions
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stock_value = frappe.db.sql(query, values)
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return stock_value
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def get_stock_value_on(warehouse=None, posting_date=None, item_code=None):
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if not posting_date: posting_date = nowdate()
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values, condition = [posting_date], ""
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if warehouse:
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lft, rgt, is_group = frappe.db.get_value("Warehouse", warehouse, ["lft", "rgt", "is_group"])
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if is_group:
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values.extend([lft, rgt])
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condition += "and exists (\
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select name from `tabWarehouse` wh where wh.name = sle.warehouse\
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and wh.lft >= %s and wh.rgt <= %s)"
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else:
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values.append(warehouse)
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condition += " AND warehouse = %s"
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if item_code:
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values.append(item_code)
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condition += " AND item_code = %s"
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stock_ledger_entries = frappe.db.sql("""
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SELECT item_code, stock_value, name, warehouse
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FROM `tabStock Ledger Entry` sle
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WHERE posting_date <= %s {0}
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ORDER BY timestamp(posting_date, posting_time) DESC, creation DESC
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""".format(condition), values, as_dict=1)
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sle_map = {}
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for sle in stock_ledger_entries:
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if not (sle.item_code, sle.warehouse) in sle_map:
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sle_map[(sle.item_code, sle.warehouse)] = flt(sle.stock_value)
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return sum(sle_map.values())
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@frappe.whitelist()
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def get_stock_balance(item_code, warehouse, posting_date=None, posting_time=None, with_valuation_rate=False):
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"""Returns stock balance quantity at given warehouse on given posting date or current date.
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If `with_valuation_rate` is True, will return tuple (qty, rate)"""
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from erpnext.stock.stock_ledger import get_previous_sle
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if not posting_date: posting_date = nowdate()
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if not posting_time: posting_time = nowtime()
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last_entry = get_previous_sle({
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"item_code": item_code,
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"warehouse":warehouse,
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"posting_date": posting_date,
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"posting_time": posting_time })
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if with_valuation_rate:
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return (last_entry.qty_after_transaction, last_entry.valuation_rate) if last_entry else (0.0, 0.0)
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else:
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return last_entry.qty_after_transaction if last_entry else 0.0
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@frappe.whitelist()
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def get_latest_stock_qty(item_code, warehouse=None):
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values, condition = [item_code], ""
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if warehouse:
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lft, rgt, is_group = frappe.db.get_value("Warehouse", warehouse, ["lft", "rgt", "is_group"])
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if is_group:
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values.extend([lft, rgt])
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condition += "and exists (\
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select name from `tabWarehouse` wh where wh.name = tabBin.warehouse\
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and wh.lft >= %s and wh.rgt <= %s)"
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else:
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values.append(warehouse)
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condition += " AND warehouse = %s"
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actual_qty = frappe.db.sql("""select sum(actual_qty) from tabBin
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where item_code=%s {0}""".format(condition), values)[0][0]
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return actual_qty
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def get_latest_stock_balance():
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bin_map = {}
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for d in frappe.db.sql("""SELECT item_code, warehouse, stock_value as stock_value
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FROM tabBin""", as_dict=1):
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bin_map.setdefault(d.warehouse, {}).setdefault(d.item_code, flt(d.stock_value))
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return bin_map
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def get_bin(item_code, warehouse):
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bin = frappe.db.get_value("Bin", {"item_code": item_code, "warehouse": warehouse})
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if not bin:
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bin_obj = frappe.get_doc({
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"doctype": "Bin",
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"item_code": item_code,
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"warehouse": warehouse,
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})
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bin_obj.flags.ignore_permissions = 1
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bin_obj.insert()
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else:
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bin_obj = frappe.get_doc('Bin', bin)
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bin_obj.flags.ignore_permissions = True
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return bin_obj
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def update_bin(args, allow_negative_stock=False, via_landed_cost_voucher=False):
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is_stock_item = frappe.db.get_value('Item', args.get("item_code"), 'is_stock_item')
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if is_stock_item:
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bin = get_bin(args.get("item_code"), args.get("warehouse"))
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bin.update_stock(args, allow_negative_stock, via_landed_cost_voucher)
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return bin
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else:
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frappe.msgprint(_("Item {0} ignored since it is not a stock item").format(args.get("item_code")))
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@frappe.whitelist()
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def get_incoming_rate(args, raise_error_if_no_rate=True):
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"""Get Incoming Rate based on valuation method"""
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from erpnext.stock.stock_ledger import get_previous_sle, get_valuation_rate
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if isinstance(args, string_types):
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args = json.loads(args)
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in_rate = 0
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if (args.get("serial_no") or "").strip():
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in_rate = get_avg_purchase_rate(args.get("serial_no"))
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else:
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valuation_method = get_valuation_method(args.get("item_code"))
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previous_sle = get_previous_sle(args)
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if valuation_method == 'FIFO':
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if previous_sle:
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previous_stock_queue = json.loads(previous_sle.get('stock_queue', '[]') or '[]')
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in_rate = get_fifo_rate(previous_stock_queue, args.get("qty") or 0) if previous_stock_queue else 0
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elif valuation_method == 'Moving Average':
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in_rate = previous_sle.get('valuation_rate') or 0
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if not in_rate:
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voucher_no = args.get('voucher_no') or args.get('name')
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in_rate = get_valuation_rate(args.get('item_code'), args.get('warehouse'),
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args.get('voucher_type'), voucher_no, args.get('allow_zero_valuation'),
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currency=erpnext.get_company_currency(args.get('company')), company=args.get('company'),
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raise_error_if_no_rate=raise_error_if_no_rate)
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return in_rate
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def get_avg_purchase_rate(serial_nos):
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"""get average value of serial numbers"""
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serial_nos = get_valid_serial_nos(serial_nos)
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return flt(frappe.db.sql("""select avg(purchase_rate) from `tabSerial No`
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where name in (%s)""" % ", ".join(["%s"] * len(serial_nos)),
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tuple(serial_nos))[0][0])
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def get_valuation_method(item_code):
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"""get valuation method from item or default"""
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val_method = frappe.db.get_value('Item', item_code, 'valuation_method')
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if not val_method:
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val_method = frappe.db.get_value("Stock Settings", None, "valuation_method") or "FIFO"
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return val_method
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def get_fifo_rate(previous_stock_queue, qty):
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"""get FIFO (average) Rate from Queue"""
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if qty >= 0:
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total = sum(f[0] for f in previous_stock_queue)
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return sum(flt(f[0]) * flt(f[1]) for f in previous_stock_queue) / flt(total) if total else 0.0
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else:
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available_qty_for_outgoing, outgoing_cost = 0, 0
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qty_to_pop = abs(qty)
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while qty_to_pop and previous_stock_queue:
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batch = previous_stock_queue[0]
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if 0 < batch[0] <= qty_to_pop:
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# if batch qty > 0
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# not enough or exactly same qty in current batch, clear batch
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available_qty_for_outgoing += flt(batch[0])
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outgoing_cost += flt(batch[0]) * flt(batch[1])
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qty_to_pop -= batch[0]
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previous_stock_queue.pop(0)
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else:
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# all from current batch
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available_qty_for_outgoing += flt(qty_to_pop)
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outgoing_cost += flt(qty_to_pop) * flt(batch[1])
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batch[0] -= qty_to_pop
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qty_to_pop = 0
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return outgoing_cost / available_qty_for_outgoing
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def get_valid_serial_nos(sr_nos, qty=0, item_code=''):
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"""split serial nos, validate and return list of valid serial nos"""
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# TODO: remove duplicates in client side
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serial_nos = cstr(sr_nos).strip().replace(',', '\n').split('\n')
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valid_serial_nos = []
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for val in serial_nos:
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if val:
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val = val.strip()
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if val in valid_serial_nos:
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frappe.throw(_("Serial number {0} entered more than once").format(val))
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else:
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valid_serial_nos.append(val)
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if qty and len(valid_serial_nos) != abs(qty):
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frappe.throw(_("{0} valid serial nos for Item {1}").format(abs(qty), item_code))
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return valid_serial_nos
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def validate_warehouse_company(warehouse, company):
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warehouse_company = frappe.db.get_value("Warehouse", warehouse, "company")
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if warehouse_company and warehouse_company != company:
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frappe.throw(_("Warehouse {0} does not belong to company {1}").format(warehouse, company),
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InvalidWarehouseCompany)
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def is_group_warehouse(warehouse):
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if frappe.db.get_value("Warehouse", warehouse, "is_group"):
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frappe.throw(_("Group node warehouse is not allowed to select for transactions"))
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def update_included_uom_in_report(columns, result, include_uom, conversion_factors):
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if not include_uom or not conversion_factors:
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return
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convertible_cols = {}
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is_dict_obj = False
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if isinstance(result[0], dict):
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is_dict_obj = True
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convertible_columns = {}
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for idx, d in enumerate(columns):
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key = d.get("fieldname") if is_dict_obj else idx
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if d.get("convertible"):
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convertible_columns.setdefault(key, d.get("convertible"))
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# Add new column to show qty/rate as per the selected UOM
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columns.insert(idx+1, {
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'label': "{0} (per {1})".format(d.get("label"), include_uom),
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'fieldname': "{0}_{1}".format(d.get("fieldname"), frappe.scrub(include_uom)),
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'fieldtype': 'Currency' if d.get("convertible") == 'rate' else 'Float'
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})
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update_dict_values = []
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for row_idx, row in enumerate(result):
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data = row.items() if is_dict_obj else enumerate(row)
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for key, value in data:
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if not key in convertible_columns or not conversion_factors[row_idx]:
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continue
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if convertible_columns.get(key) == 'rate':
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new_value = flt(value) * conversion_factors[row_idx]
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else:
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new_value = flt(value) / conversion_factors[row_idx]
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if not is_dict_obj:
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row.insert(key+1, new_value)
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else:
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new_key = "{0}_{1}".format(key, frappe.scrub(include_uom))
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update_dict_values.append([row, new_key, new_value])
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for data in update_dict_values:
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row, key, value = data
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row[key] = value
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def get_available_serial_nos(args):
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return frappe.db.sql(""" SELECT name from `tabSerial No`
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WHERE item_code = %(item_code)s and warehouse = %(warehouse)s
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and timestamp(purchase_date, purchase_time) <= timestamp(%(posting_date)s, %(posting_time)s)
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""", args, as_dict=1)
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def add_additional_uom_columns(columns, result, include_uom, conversion_factors):
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if not include_uom or not conversion_factors:
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return
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convertible_column_map = {}
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for col_idx in list(reversed(range(0, len(columns)))):
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col = columns[col_idx]
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if isinstance(col, dict) and col.get('convertible') in ['rate', 'qty']:
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next_col = col_idx + 1
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columns.insert(next_col, col.copy())
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columns[next_col]['fieldname'] += '_alt'
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convertible_column_map[col.get('fieldname')] = frappe._dict({
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'converted_col': columns[next_col]['fieldname'],
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'for_type': col.get('convertible')
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})
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if col.get('convertible') == 'rate':
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columns[next_col]['label'] += ' (per {})'.format(include_uom)
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else:
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columns[next_col]['label'] += ' ({})'.format(include_uom)
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for row_idx, row in enumerate(result):
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for convertible_col, data in convertible_column_map.items():
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conversion_factor = conversion_factors[row.get('item_code')] or 1
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for_type = data.for_type
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value_before_conversion = row.get(convertible_col)
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if for_type == 'rate':
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row[data.converted_col] = flt(value_before_conversion) * conversion_factor
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else:
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row[data.converted_col] = flt(value_before_conversion) / conversion_factor
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result[row_idx] = row |