292 lines
10 KiB
Python
292 lines
10 KiB
Python
# ERPNext - web based ERP (http://erpnext.com)
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# Copyright (C) 2012 Web Notes Technologies Pvt Ltd
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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import webnotes
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from webnotes import msgprint
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from webnotes.utils import cint, flt, cstr
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from stock.utils import get_valuation_method
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import json
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# future reposting
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_exceptions = []
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def update_entries_after(args, verbose=1):
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"""
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update valution rate and qty after transaction
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from the current time-bucket onwards
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args = {
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"item_code": "ABC",
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"warehouse": "XYZ",
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"posting_date": "2012-12-12",
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"posting_time": "12:00"
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}
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"""
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global _exceptions
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_exceptions = []
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previous_sle = get_sle_before_datetime(args)
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qty_after_transaction = flt(previous_sle.get("qty_after_transaction"))
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valuation_rate = flt(previous_sle.get("valuation_rate"))
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stock_queue = json.loads(previous_sle.get("stock_queue") or "[]")
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stock_value = 0.0
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entries_to_fix = get_sle_after_datetime(previous_sle or \
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{"item_code": args["item_code"], "warehouse": args["warehouse"]}, for_update=True)
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valuation_method = get_valuation_method(args["item_code"])
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for sle in entries_to_fix:
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if sle.serial_no or not cint(webnotes.conn.get_default("allow_negative_stock")):
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# validate negative stock for serialized items, fifo valuation
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# or when negative stock is not allowed for moving average
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if not validate_negative_stock(qty_after_transaction, sle):
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qty_after_transaction += flt(sle.actual_qty)
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continue
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if sle.serial_no:
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valuation_rate = get_serialized_values(qty_after_transaction, sle, valuation_rate)
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elif valuation_method == "Moving Average":
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valuation_rate = get_moving_average_values(qty_after_transaction, sle, valuation_rate)
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else:
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valuation_rate = get_fifo_values(qty_after_transaction, sle, stock_queue)
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qty_after_transaction += flt(sle.actual_qty)
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# get stock value
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if sle.serial_no:
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stock_value = qty_after_transaction * valuation_rate
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elif valuation_method == "Moving Average":
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stock_value = (qty_after_transaction > 0) and \
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(qty_after_transaction * valuation_rate) or 0
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else:
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stock_value = sum((flt(batch[0]) * flt(batch[1]) for batch in stock_queue))
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# print sle.posting_date, sle.actual_qty, sle.incoming_rate, stock_queue, stock_value
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# update current sle
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webnotes.conn.sql("""update `tabStock Ledger Entry`
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set qty_after_transaction=%s, valuation_rate=%s, stock_queue=%s,
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stock_value=%s where name=%s""",
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(qty_after_transaction, valuation_rate,
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json.dumps(stock_queue), stock_value, sle.name))
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if _exceptions:
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_raise_exceptions(args, verbose)
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# update bin
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if not webnotes.conn.exists({"doctype": "Bin", "item_code": args["item_code"],
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"warehouse": args["warehouse"]}):
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bin_wrapper = webnotes.bean([{
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"doctype": "Bin",
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"item_code": args["item_code"],
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"warehouse": args["warehouse"],
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}])
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bin_wrapper.ignore_permissions = 1
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bin_wrapper.insert()
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webnotes.conn.sql("""update `tabBin` set valuation_rate=%s, actual_qty=%s,
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stock_value=%s,
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projected_qty = (actual_qty + indented_qty + ordered_qty + planned_qty - reserved_qty)
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where item_code=%s and warehouse=%s""", (valuation_rate, qty_after_transaction,
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stock_value, args["item_code"], args["warehouse"]))
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def get_sle_before_datetime(args, for_update=False):
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"""
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get previous stock ledger entry before current time-bucket
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Details:
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get the last sle before the current time-bucket, so that all values
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are reposted from the current time-bucket onwards.
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this is necessary because at the time of cancellation, there may be
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entries between the cancelled entries in the same time-bucket
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"""
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sle = get_stock_ledger_entries(args,
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["timestamp(posting_date, posting_time) < timestamp(%(posting_date)s, %(posting_time)s)"],
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"desc", "limit 1", for_update=for_update)
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return sle and sle[0] or webnotes._dict()
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def get_sle_after_datetime(args, for_update=False):
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"""get Stock Ledger Entries after a particular datetime, for reposting"""
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# NOTE: using for update of
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return get_stock_ledger_entries(args,
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["timestamp(posting_date, posting_time) > timestamp(%(posting_date)s, %(posting_time)s)"],
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"asc", for_update=for_update)
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def get_stock_ledger_entries(args, conditions=None, order="desc", limit=None, for_update=False):
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"""get stock ledger entries filtered by specific posting datetime conditions"""
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if not args.get("posting_date"):
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args["posting_date"] = "1900-01-01"
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if not args.get("posting_time"):
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args["posting_time"] = "00:00"
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return webnotes.conn.sql("""select * from `tabStock Ledger Entry`
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where item_code = %%(item_code)s
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and warehouse = %%(warehouse)s
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and ifnull(is_cancelled, 'No') = 'No'
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%(conditions)s
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order by timestamp(posting_date, posting_time) %(order)s, name %(order)s
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%(limit)s %(for_update)s""" % {
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"conditions": conditions and ("and " + " and ".join(conditions)) or "",
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"limit": limit or "",
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"for_update": for_update and "for update" or "",
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"order": order
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}, args, as_dict=1)
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def validate_negative_stock(qty_after_transaction, sle):
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"""
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validate negative stock for entries current datetime onwards
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will not consider cancelled entries
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"""
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diff = qty_after_transaction + flt(sle.actual_qty)
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if diff < 0 and abs(diff) > 0.0001:
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# negative stock!
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global _exceptions
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exc = sle.copy().update({"diff": diff})
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_exceptions.append(exc)
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return False
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else:
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return True
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def get_serialized_values(qty_after_transaction, sle, valuation_rate):
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incoming_rate = flt(sle.incoming_rate)
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actual_qty = flt(sle.actual_qty)
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serial_no = cstr(sle.serial_no).split("\n")
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if incoming_rate < 0:
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# wrong incoming rate
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incoming_rate = valuation_rate
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elif incoming_rate == 0 or flt(sle.actual_qty) < 0:
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# In case of delivery/stock issue, get average purchase rate
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# of serial nos of current entry
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incoming_rate = flt(webnotes.conn.sql("""select avg(ifnull(purchase_rate, 0))
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from `tabSerial No` where name in (%s)""" % (", ".join(["%s"]*len(serial_no))),
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tuple(serial_no))[0][0])
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if incoming_rate and not valuation_rate:
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valuation_rate = incoming_rate
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else:
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new_stock_qty = qty_after_transaction + actual_qty
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if new_stock_qty > 0:
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new_stock_value = qty_after_transaction * valuation_rate + actual_qty * incoming_rate
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if new_stock_value > 0:
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# calculate new valuation rate only if stock value is positive
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# else it remains the same as that of previous entry
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valuation_rate = new_stock_value / new_stock_qty
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return valuation_rate
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def get_moving_average_values(qty_after_transaction, sle, valuation_rate):
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incoming_rate = flt(sle.incoming_rate)
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actual_qty = flt(sle.actual_qty)
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if not incoming_rate:
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# In case of delivery/stock issue in_rate = 0 or wrong incoming rate
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incoming_rate = valuation_rate
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elif qty_after_transaction < 0:
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# if negative stock, take current valuation rate as incoming rate
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valuation_rate = incoming_rate
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new_stock_qty = qty_after_transaction + actual_qty
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new_stock_value = qty_after_transaction * valuation_rate + actual_qty * incoming_rate
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if new_stock_qty > 0 and new_stock_value > 0:
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valuation_rate = new_stock_value / flt(new_stock_qty)
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elif new_stock_qty <= 0:
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valuation_rate = 0.0
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# NOTE: val_rate is same as previous entry if new stock value is negative
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return valuation_rate
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def get_fifo_values(qty_after_transaction, sle, stock_queue):
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incoming_rate = flt(sle.incoming_rate)
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actual_qty = flt(sle.actual_qty)
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if not stock_queue:
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stock_queue.append([0, 0])
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if actual_qty > 0:
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if stock_queue[-1][0] > 0:
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stock_queue.append([actual_qty, incoming_rate])
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else:
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qty = stock_queue[-1][0] + actual_qty
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stock_queue[-1] = [qty, qty > 0 and incoming_rate or 0]
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else:
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incoming_cost = 0
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qty_to_pop = abs(actual_qty)
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while qty_to_pop:
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if not stock_queue:
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stock_queue.append([0, 0])
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batch = 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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incoming_cost += flt(batch[0]) * flt(batch[1])
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qty_to_pop -= batch[0]
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stock_queue.pop(0)
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else:
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# all from current batch
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incoming_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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stock_value = sum((flt(batch[0]) * flt(batch[1]) for batch in stock_queue))
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stock_qty = sum((flt(batch[0]) for batch in stock_queue))
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valuation_rate = stock_qty and (stock_value / flt(stock_qty)) or 0
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return valuation_rate
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def _raise_exceptions(args, verbose=1):
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deficiency = min(e["diff"] for e in _exceptions)
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msg = """Negative stock error:
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Cannot complete this transaction because stock will start
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becoming negative (%s) for Item <b>%s</b> in Warehouse
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<b>%s</b> on <b>%s %s</b> in Transaction %s %s.
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Total Quantity Deficiency: <b>%s</b>""" % \
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(_exceptions[0]["diff"], args.get("item_code"), args.get("warehouse"),
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_exceptions[0]["posting_date"], _exceptions[0]["posting_time"],
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_exceptions[0]["voucher_type"], _exceptions[0]["voucher_no"],
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abs(deficiency))
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if verbose:
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msgprint(msg, raise_exception=1)
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else:
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raise webnotes.ValidationError, msg
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def get_previous_sle(args, for_update=False):
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"""
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get the last sle on or before the current time-bucket,
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to get actual qty before transaction, this function
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is called from various transaction like stock entry, reco etc
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args = {
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"item_code": "ABC",
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"warehouse": "XYZ",
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"posting_date": "2012-12-12",
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"posting_time": "12:00",
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"sle": "name of reference Stock Ledger Entry"
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}
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"""
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if not args.get("sle"): args["sle"] = ""
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sle = get_stock_ledger_entries(args, ["name != %(sle)s",
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"timestamp(posting_date, posting_time) <= timestamp(%(posting_date)s, %(posting_time)s)"],
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"desc", "limit 1", for_update=for_update)
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return sle and sle[0] or {} |