#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 from decimal import Decimal from operator import itemgetter from sql import Literal, Union, Column from sql.aggregate import Max, Sum from sql.functions import Now from sql.conditionals import Coalesce from trytond.model import ModelSQL, ModelView, fields from trytond.wizard import Wizard, StateView, StateAction, Button from trytond.pyson import PYSONEncoder, Eval, Or from trytond.transaction import Transaction from trytond.tools import reduce_ids from trytond.pool import Pool, PoolMeta from .move import StockMixin __all__ = ['Template', 'Product', 'ProductByLocationStart', 'ProductByLocation', 'ProductQuantitiesByWarehouse', 'ProductQuantitiesByWarehouseStart', 'OpenProductQuantitiesByWarehouse'] __metaclass__ = PoolMeta class Template: __name__ = "product.template" quantity = fields.Function(fields.Float('Quantity'), 'sum_product') forecast_quantity = fields.Function(fields.Float('Forecast Quantity'), 'sum_product') cost_value = fields.Function(fields.Numeric('Cost Value'), 'sum_product') def sum_product(self, name): if name not in ('quantity', 'forecast_quantity', 'cost_value'): raise Exception('Bad argument') sum_ = 0. if name != 'cost_value' else Decimal(0) for product in self.products: sum_ += getattr(product, name) return sum_ @classmethod def __setup__(cls): super(Template, cls).__setup__() cls._error_messages.update({ 'change_default_uom': ('You cannot change the default uom for ' 'a product which is associated to stock moves.'), }) cls.cost_price.states['required'] = Or( cls.cost_price.states.get('required', True), Eval('type').in_(['goods', 'assets'])) cls.cost_price.depends.append('type') @classmethod def write(cls, templates, vals): Move = Pool().get('stock.move') cursor = Transaction().cursor if not vals.get("default_uom"): super(Template, cls).write(templates, vals) return for i in range(0, len(templates), cursor.IN_MAX): sub_ids = [t.id for t in templates[i:i + cursor.IN_MAX]] templates_to_check = cls.search([ ('id', 'in', sub_ids), ('default_uom', '!=', vals['default_uom']), ]) if templates_to_check: if Move.search([ ('product.template', 'in', [t.id for t in templates_to_check]), ], limit=1): cls.raise_user_error('change_default_uom') super(Template, cls).write(templates, vals) class Product(object, StockMixin): __metaclass__ = PoolMeta __name__ = "product.product" quantity = fields.Function(fields.Float('Quantity'), 'get_quantity', searcher='search_quantity') forecast_quantity = fields.Function(fields.Float('Forecast Quantity'), 'get_quantity', searcher='search_quantity') cost_value = fields.Function(fields.Numeric('Cost Value'), 'get_cost_value') @classmethod def get_quantity(cls, products, name): location_ids = Transaction().context.get('locations') return cls._get_quantity(products, name, location_ids, products) @classmethod def search_quantity(cls, name, domain=None): location_ids = Transaction().context.get('locations') return cls._search_quantity(name, location_ids, domain) @classmethod def get_cost_value(cls, products, name): cost_values = {} context = {} trans_context = Transaction().context if 'stock_date_end' in context: context['_datetime'] = trans_context['stock_date_end'] with Transaction().set_context(context): for product in products: # The date could be before the product creation if not isinstance(product.cost_price, Decimal): cost_values[product.id] = None else: cost_values[product.id] = (Decimal(str(product.quantity)) * product.cost_price) return cost_values @classmethod def products_by_location(cls, location_ids, product_ids=None, with_childs=False, grouping=('product',)): """ Compute for each location and product the stock quantity in the default uom of the product. The context with keys: stock_date_end: if set the date of the stock computation. stock_date_start: if set return the delta of the stock between the two dates, (ignored if stock_date_end is missing). stock_assign: if set compute also the assigned moves as done. forecast: if set compute the forecast quantity. stock_destinations: A list of location ids. If set, restrict the computation to moves from and to those locations. stock_skip_warehouse: if set, quantities on a warehouse are no more quantities of all child locations but quantities of the storage zone. If product_ids is None all products are used. If with_childs, it computes also for child locations. grouping defines how stock moves are grouped. Return a dictionary with location id and grouping as key and quantity as value. """ pool = Pool() Uom = pool.get('product.uom') Rule = pool.get('ir.rule') Location = pool.get('stock.location') Date = pool.get('ir.date') Period = pool.get('stock.period') Move = pool.get('stock.move') Product = pool.get('product.product') Template = pool.get('product.template') move = Move.__table__() product = Product.__table__() template = Template.__table__() today = Date.today() if not location_ids: return {} cursor = Transaction().cursor context = Transaction().context.copy() for field in grouping: if field not in Move._fields: raise ValueError('"%s" has no field "%s"' % (Move, field)) assert 'product' in grouping # Skip warehouse location in favor of their storage location # to compute quantities. Keep track of which ids to remove # and to add after the query. location_ids = set(location_ids) storage_to_remove = set() wh_to_add = {} for location in Location.browse(list(location_ids)): if (location.type == 'warehouse' and Transaction().context.get('stock_skip_warehouse')): location_ids.remove(location.id) if location.storage_location.id not in location_ids: storage_to_remove.add(location.storage_location.id) location_ids.add(location.storage_location.id) wh_to_add[location.id] = location.storage_location.id location_ids = list(location_ids) move_rule_query = Rule.domain_get('stock.move') if move_rule_query is None: move_rule_query = Literal(True) PeriodCache = Period.get_cache(grouping) period = None if PeriodCache: period_cache = PeriodCache.__table__() if not context.get('stock_date_end'): context['stock_date_end'] = datetime.date.max # date end in the past or today: filter on state done if (context['stock_date_end'] < today or (context['stock_date_end'] == today and not context.get('forecast'))): state_date_clause = ( move.state.in_(['done', context.get('stock_assign') and 'assigned' or 'done']) & ( ( (move.effective_date == None) & (move.planned_date <= context['stock_date_end']) ) | (move.effective_date <= context['stock_date_end']) ) ) # future date end: filter move on state done and date # before today, or on all state and date between today and # date_end. else: state_date_clause = ( (move.state.in_(['done', context.get('stock_assign') and 'assigned' or 'done']) & ( ( (move.effective_date == None) & (move.planned_date <= today) ) | (move.effective_date <= today) ) ) | (move.state.in_(['done', 'assigned', 'draft']) & ( ( (move.effective_date == None) & (Coalesce(move.planned_date, datetime.date.max) <= context['stock_date_end']) & (Coalesce(move.planned_date, datetime.date.max) >= today) ) | ( (move.effective_date <= context['stock_date_end']) & (move.effective_date >= today) ) ) ) ) if context.get('stock_date_start'): if context['stock_date_start'] > today: state_date_clause &= ( move.state.in_(['done', 'assigned', 'draft']) & ( ( (move.effective_date == None) & ( (move.planned_date >= context['stock_date_start']) | (move.planned_date == None) ) ) | (move.effective_date >= context['stock_date_start']) ) ) else: state_date_clause &= ( ( move.state.in_(['done', 'assigned', 'draft']) & ( ( (move.effective_date == None) & ( (move.planned_date >= today) | (move.planned_date == None) ) ) | (move.effective_date >= today) ) ) | ( move.state.in_(['done', context.get('stock_assign') and 'assigned' or 'done']) & ( ( (move.effective_date == None) & ( ( (move.planned_date >= context['stock_date_start']) & (move.planned_date < today) ) | (move.planned_date == None) ) ) | ( (move.effective_date >= context['stock_date_start']) & (move.effective_date < today) ) ) ) ) elif PeriodCache: with Transaction().set_user(0, set_context=True): periods = Period.search([ ('date', '<', context['stock_date_end']), ('state', '=', 'closed'), ], order=[('date', 'DESC')], limit=1) if periods: period, = periods state_date_clause &= ( Coalesce(move.effective_date, move.planned_date, datetime.date.max) > period.date) if with_childs: location_query = Location.search([ ('parent', 'child_of', location_ids), ], query=True, order=[]) else: location_query = location_ids[:] from_ = move if PeriodCache: from_period = period_cache if product_ids: where = reduce_ids(move.product, product_ids) if PeriodCache: where_period = reduce_ids(period_cache.product, product_ids) else: where = where_period = template.active == True from_ = from_.join(product, condition=move.product == product.id) from_ = from_.join(template, condition=product.template == template.id) if PeriodCache: from_period = from_period.join(product, condition=period_cache.product == product.id) from_period = from_period.join(template, condition=product.template == template.id) if context.get('stock_destinations'): destinations = context.get('stock_destinations') dest_clause_from = move.from_location.in_(destinations) dest_clause_to = move.to_location.in_(destinations) if PeriodCache: dest_clause_period = period_cache.location.in_(destinations) else: dest_clause_from = dest_clause_to = dest_clause_period = \ Literal(True) # The main select clause is a union between three similar subqueries. # One that sums incoming moves towards locations, one that sums # outgoing moves and one for the period cache. UNION ALL is used # because we already know that there will be no duplicates. move_keys = [Column(move, key).as_(key) for key in grouping] query = from_.select(move.to_location.as_('location'), Sum(move.internal_quantity).as_('quantity'), *move_keys, where=state_date_clause & where & move.to_location.in_(location_query) & move.id.in_(move_rule_query) & dest_clause_from, group_by=[move.to_location] + move_keys) query = Union(query, from_.select(move.from_location.as_('location'), (-Sum(move.internal_quantity)).as_('quantity'), *move_keys, where=state_date_clause & where & move.from_location.in_(location_query) & move.id.in_(move_rule_query) & dest_clause_to, group_by=[move.from_location] + move_keys), all_=True) if PeriodCache: period_keys = [Column(period_cache, key).as_(key) for key in grouping] query = Union(query, from_period.select( period_cache.location.as_('location'), period_cache.internal_quantity.as_('quantity'), *period_keys, where=(period_cache.period == (period.id if period else None)) & where_period & period_cache.location.in_(location_query) & dest_clause_period), all_=True) query_keys = [Column(query, key).as_(key) for key in grouping] columns = ([query.location.as_('location')] + query_keys + [Sum(query.quantity).as_('quantity')]) query = query.select(*columns, group_by=[query.location] + query_keys) cursor.execute(*query) raw_lines = cursor.fetchall() product_getter = itemgetter(grouping.index('product') + 1) res_product_ids = set() res = {} keys = set() for line in raw_lines: location = line[0] key = tuple(line[1:-1]) quantity = line[-1] res[(location,) + key] = quantity res_product_ids.add(product_getter(line)) keys.add(key) # Propagate quantities on from child locations to their parents if with_childs: # Fetch all child locations locations = Location.search([ ('parent', 'child_of', location_ids), ]) # Generate a set of locations without childs and a dict # giving the parent of each location. leafs = set([l.id for l in locations]) parent = {} for location in locations: if not location.parent: continue if location.parent.id in leafs: leafs.remove(location.parent.id) parent[location.id] = location.parent.id locations = set((l.id for l in locations)) while leafs: for l in leafs: locations.remove(l) if l not in parent: continue for key in keys: parent_key = (parent[l],) + key res.setdefault(parent_key, 0) res[parent_key] += res.get((l,) + key, 0) next_leafs = set(locations) for l in locations: if l not in parent: continue if parent[l] in next_leafs and parent[l] in locations: next_leafs.remove(parent[l]) leafs = next_leafs # clean result for key in res.keys(): location = key[0] if location not in location_ids: del res[key] # Round quantities default_uom = dict((p.id, p.default_uom) for p in cls.browse(list(res_product_ids))) for key, quantity in res.iteritems(): location = key[0] product = product_getter(key) uom = default_uom[product] res[key] = Uom.round(quantity, uom.rounding) if wh_to_add: for wh, storage in wh_to_add.iteritems(): for product in product_ids: if (storage, product) in res: res[(wh, product)] = res[(storage, product)] if storage in storage_to_remove: del res[(storage, product)] return res class ProductByLocationStart(ModelView): 'Product by Location' __name__ = 'product.by_location.start' forecast_date = fields.Date( 'At Date', help=('Allow to compute expected ' 'stock quantities for this date.\n' '* An empty value is an infinite date in the future.\n' '* A date in the past will provide historical values.')) @staticmethod def default_forecast_date(): Date = Pool().get('ir.date') return Date.today() class ProductByLocation(Wizard): 'Product by Location' __name__ = 'product.by_location' start = StateView('product.by_location.start', 'stock.product_by_location_start_view_form', [ Button('Cancel', 'end', 'tryton-cancel'), Button('Open', 'open', 'tryton-ok', default=True), ]) open = StateAction('stock.act_location_quantity_tree') def do_open(self, action): pool = Pool() Product = pool.get('product.product') Lang = pool.get('ir.lang') context = {} product_id = Transaction().context['active_id'] context['product'] = product_id if self.start.forecast_date: context['stock_date_end'] = self.start.forecast_date else: context['stock_date_end'] = datetime.date.max action['pyson_context'] = PYSONEncoder().encode(context) product = Product(product_id) for code in [Transaction().language, 'en_US']: langs = Lang.search([ ('code', '=', code), ]) if langs: break lang, = langs date = Lang.strftime(context['stock_date_end'], lang.code, lang.date) action['name'] += ' - %s (%s) @ %s' % (product.rec_name, product.default_uom.rec_name, date) return action, {} class ProductQuantitiesByWarehouse(ModelSQL, ModelView): 'Product Quantities By Warehouse' __name__ = 'stock.product_quantities_warehouse' date = fields.Date('Date') quantity = fields.Function(fields.Float('Quantity'), 'get_quantity') @classmethod def __setup__(cls): super(ProductQuantitiesByWarehouse, cls).__setup__() cls._order.insert(0, ('date', 'ASC')) @staticmethod def table_query(): pool = Pool() Move = pool.get('stock.move') Location = pool.get('stock.location') move = Move.__table__() product_id = Transaction().context.get('product') warehouse_id = Transaction().context.get('warehouse', -1) warehouse_query = Location.search([ ('parent', 'child_of', [warehouse_id]), ], query=True, order=[]) date_column = Coalesce(move.effective_date, move.planned_date ).as_('date') return move.select( Max(move.id).as_('id'), Literal(0).as_('create_uid'), Now().as_('create_date'), Literal(None).as_('write_uid'), Literal(None).as_('write_date'), date_column, where=(move.product == product_id) & (move.from_location.in_(warehouse_query) | move.to_location.in_(warehouse_query)) & (Coalesce(move.effective_date, move.planned_date) != None), group_by=(date_column, move.product)) @classmethod def get_quantity(cls, lines, name): Product = Pool().get('product.product') product_id = Transaction().context.get('product') warehouse_id = Transaction().context.get('warehouse') dates = sorted(l.date for l in lines) quantities = {} date_start = None for date in dates: context = { 'stock_date_start': date_start, 'stock_date_end': date, 'forecast': True, } with Transaction().set_context(**context): quantities[date] = Product.products_by_location( [warehouse_id], [product_id], with_childs=True).get((warehouse_id, product_id), 0) try: date_start = date + datetime.timedelta(1) except OverflowError: pass cumulate = 0 for date in dates: cumulate += quantities[date] quantities[date] = cumulate return dict((l.id, quantities[l.date]) for l in lines) class ProductQuantitiesByWarehouseStart(ModelView): 'Product Quantities By Warehouse' __name__ = 'stock.product_quantities_warehouse.start' warehouse = fields.Many2One('stock.location', 'Warehouse', domain=[ ('type', '=', 'warehouse'), ]) @staticmethod def default_warehouse(): Location = Pool().get('stock.location') warehouses = Location.search([ ('type', '=', 'warehouse'), ]) if len(warehouses) == 1: return warehouses[0].id class OpenProductQuantitiesByWarehouse(Wizard): 'Product Quantities By Warehouse' __name__ = 'stock.product_quantities_warehouse' start = StateView('stock.product_quantities_warehouse.start', 'stock.product_quantities_warehouse_start_view_form', [ Button('Cancel', 'end', 'tryton-cancel'), Button('Open', 'open_', 'tryton-ok', default=True), ]) open_ = StateAction('stock.act_product_quantities_warehouse') def do_open_(self, action): Date = Pool().get('ir.date') action['pyson_context'] = PYSONEncoder().encode({ 'product': Transaction().context['active_id'], 'warehouse': self.start.warehouse.id, }) action['pyson_search_value'] = PYSONEncoder().encode([ ('date', '>=', Date.today()), ]) return action, {}