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tradon/modules/product_cost_fifo/product.py
2026-03-14 09:42:12 +00:00

259 lines
9.7 KiB
Python

# This file is part of Tryton. The COPYRIGHT file at the top level of
# this repository contains the full copyright notices and license terms.
import datetime as dt
from decimal import Decimal
import trytond.config as config
from trytond.modules.product import round_price
from trytond.pool import Pool, PoolMeta
class Template(metaclass=PoolMeta):
__name__ = 'product.template'
@classmethod
def __setup__(cls):
super().__setup__()
new_sel = ('fifo', 'FIFO')
if new_sel not in cls.cost_price_method.selection:
cls.cost_price_method._field.selection.append(new_sel)
class Product(metaclass=PoolMeta):
__name__ = 'product.product'
def _get_available_fifo_moves(self, date=None, offset=0, limit=None):
pool = Pool()
Move = pool.get('stock.move')
domain = [
('product', '=', self.id),
self._domain_moves_cost(),
('from_location.type', '!=', 'storage'),
('to_location.type', '=', 'storage'),
]
if not date:
domain.append(('fifo_quantity_available', '>', 0))
else:
domain.append(('effective_date', '<=', date))
return Move.search(
domain,
offset=offset, limit=limit,
order=[('effective_date', 'DESC'), ('id', 'DESC')])
def get_fifo_move(self, quantity=0.0, date=None):
'''
Return a list of (move, qty) where move is the move to be
consumed and qty is the quantity (in the product default uom)
to be consumed on this move. The list contains the "first in"
moves for the given quantity.
'''
pool = Pool()
Uom = pool.get('product.uom')
avail_qty = self._get_storage_quantity(date=date)
if date:
# On recomputation, we must pretend
# outgoing moves are not yet done.
avail_qty += quantity
fifo_moves = []
size = config.getint('cache', 'record')
def moves():
offset, limit = 0, size
while True:
moves = self._get_available_fifo_moves(
date=date, offset=offset, limit=limit)
if not moves:
break
for move in moves:
yield move
offset += size
for move in moves():
qty = move.fifo_quantity_available if not date else move.quantity
qty = Uom.compute_qty(
move.unit, qty, self.default_uom, round=False)
avail_qty -= qty
if avail_qty <= quantity:
if avail_qty > 0.0:
fifo_moves.append(
(move, min(qty, quantity - avail_qty)))
else:
fifo_moves.append(
(move, min(quantity, qty + avail_qty)))
break
fifo_moves.reverse()
return fifo_moves
def recompute_cost_price_fifo(self, start=None):
pool = Pool()
Move = pool.get('stock.move')
Uom = pool.get('product.uom')
Revision = pool.get('product.cost_price.revision')
domain = [
('product', '=', self.id),
self._domain_moves_cost(),
['OR',
self._domain_in_moves_cost(),
self._domain_out_moves_cost(),
]
]
if start:
domain.append(('effective_date', '>=', start))
moves = Move.search(
domain, order=[('effective_date', 'ASC'), ('id', 'ASC')])
_in_moves = Move.search([
('product', '=', self.id),
self._domain_moves_cost(),
self._domain_in_moves_cost(),
], order=[])
_in_moves = set(m.id for m in _in_moves)
revisions = Revision.get_for_product(self)
cost_price = Decimal(0)
quantity = 0
if start:
domain.remove(('effective_date', '>=', start))
domain.append(('effective_date', '<', start))
domain.append(self._domain_in_moves_cost())
prev_moves = Move.search(
domain,
order=[('effective_date', 'DESC'), ('id', 'DESC')],
limit=1)
if prev_moves:
move, = prev_moves
cost_price = move.cost_price
quantity = self._get_storage_quantity(
date=start - dt.timedelta(days=1))
quantity = Decimal(str(quantity))
def in_move(move):
return move.id in _in_moves
def out_move(move):
return not in_move(move)
def production_move(move):
return (
move.from_location.type == 'production'
or move.to_location.type == 'production')
def compute_fifo_cost_price(quantity, date):
fifo_moves = self.get_fifo_move(float(quantity), date=date)
cost_price = Decimal(0)
consumed_qty = 0
for move, move_qty in fifo_moves:
consumed_qty += move_qty
cost_price += move.get_cost_price() * Decimal(str(move_qty))
if consumed_qty:
return round_price(cost_price / Decimal(str(consumed_qty)))
# For each day, process the incoming moves first
# in order to keep quantity positive where possible
# We do not re-browse because we expect only small changes
moves = sorted(moves, key=lambda m: (
m.effective_date,
out_move(m) or (in_move(m) and production_move(m)),
m.id))
current_moves = []
current_out_qty = 0
current_cost_price = cost_price
qty_production = 0
for move in moves:
if (current_moves
and current_moves[-1].effective_date
!= move.effective_date):
Move.write([
m for m in filter(in_move, current_moves)
if m.cost_price != current_cost_price],
dict(cost_price=current_cost_price))
out_moves = list(filter(out_move, current_moves))
if out_moves:
fifo_cost_price = compute_fifo_cost_price(
current_out_qty, current_moves[-1].effective_date)
if fifo_cost_price is None:
fifo_cost_price = current_cost_price
if quantity > 0 and quantity + current_out_qty >= 0:
cost_price = (
((current_cost_price * (
quantity + current_out_qty))
- (fifo_cost_price * current_out_qty))
/ quantity)
else:
cost_price = current_cost_price
current_cost_price = round_price(cost_price)
Move.write([
m for m in out_moves
if m.cost_price != fifo_cost_price
or m.product_cost_price != current_cost_price],
dict(
cost_price=fifo_cost_price,
product_cost_price=current_cost_price))
current_moves.clear()
current_out_qty = 0
qty_production = 0
current_moves.append(move)
cost_price = Revision.apply_up_to(
revisions, cost_price, move.effective_date)
qty = Uom.compute_qty(move.unit, move.quantity, self.default_uom)
qty = Decimal(str(qty))
if out_move(move):
qty *= -1
if in_move(move):
in_qty = qty
if production_move(move) and qty_production < 0:
# Exclude quantity coming back from production
in_qty -= min(abs(qty_production), in_qty)
unit_price = move.get_cost_price(product_cost_price=cost_price)
if quantity + in_qty > 0 and quantity >= 0:
cost_price = (
(cost_price * quantity) + (unit_price * in_qty)
) / (quantity + in_qty)
elif in_qty > 0:
cost_price = unit_price
current_cost_price = round_price(cost_price)
elif out_move(move):
current_out_qty += -qty
quantity += qty
if production_move(move):
qty_production += qty
Move.write([
m for m in filter(in_move, current_moves)
if m.cost_price != current_cost_price],
dict(cost_price=current_cost_price))
out_moves = list(filter(out_move, current_moves))
if out_moves:
fifo_cost_price = compute_fifo_cost_price(
current_out_qty, current_moves[-1].effective_date)
if fifo_cost_price is None:
fifo_cost_price = current_cost_price
if quantity > 0:
cost_price = (
((cost_price * (quantity + current_out_qty))
- (fifo_cost_price * current_out_qty))
/ quantity)
else:
cost_price = current_cost_price
current_cost_price = round_price(cost_price)
Move.write([
m for m in out_moves
if m.cost_price != fifo_cost_price
or m.product_cost_price != current_cost_price],
dict(
cost_price=fifo_cost_price,
product_cost_price=current_cost_price))
for revision in revisions:
cost_price = revision.get_cost_price(cost_price)
return cost_price