# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. import itertools import time from odoo import api, fields, models from odoo.tools.sql import SQL class ProductProduct(models.Model): _inherit = "product.product" date_from = fields.Date(compute='_compute_product_margin_fields_values', string='Margin Date From') date_to = fields.Date(compute='_compute_product_margin_fields_values', string='Margin Date To') invoice_state = fields.Selection(compute='_compute_product_margin_fields_values', selection=[ ('paid', 'Paid'), ('open_paid', 'Open and Paid'), ('draft_open_paid', 'Draft, Open and Paid') ], string='Invoice State', readonly=True) sale_avg_price = fields.Float(compute='_compute_product_margin_fields_values', string='Avg. Sale Unit Price', help="Avg. Price in Customer Invoices.") purchase_avg_price = fields.Float(compute='_compute_product_margin_fields_values', string='Avg. Purchase Unit Price', help="Avg. Price in Vendor Bills") sale_num_invoiced = fields.Float(compute='_compute_product_margin_fields_values', string='# Invoiced in Sale', help="Sum of Quantity in Customer Invoices") purchase_num_invoiced = fields.Float(compute='_compute_product_margin_fields_values', string='# Invoiced in Purchase', help="Sum of Quantity in Vendor Bills") sales_gap = fields.Float(compute='_compute_product_margin_fields_values', string='Sales Gap', help="Expected Sale - Turn Over") purchase_gap = fields.Float(compute='_compute_product_margin_fields_values', string='Purchase Gap', help="Normal Cost - Total Cost") turnover = fields.Float(compute='_compute_product_margin_fields_values', string='Turnover', help="Sum of Multiplication of Invoice price and quantity of Customer Invoices") total_cost = fields.Float(compute='_compute_product_margin_fields_values', string='Total Cost', help="Sum of Multiplication of Invoice price and quantity of Vendor Bills ") sale_expected = fields.Float(compute='_compute_product_margin_fields_values', string='Expected Sale', help="Sum of Multiplication of Sale Catalog price and quantity of Customer Invoices") normal_cost = fields.Float(compute='_compute_product_margin_fields_values', string='Normal Cost', help="Sum of Multiplication of Cost price and quantity of Vendor Bills") total_margin = fields.Float(compute='_compute_product_margin_fields_values', string='Total Margin', help="Turnover - Total cost") expected_margin = fields.Float(compute='_compute_product_margin_fields_values', string='Expected Margin', help="Expected Sale - Normal Cost") total_margin_rate = fields.Float(compute='_compute_product_margin_fields_values', string='Total Margin Rate(%)', help="Total margin * 100 / Turnover") expected_margin_rate = fields.Float(compute='_compute_product_margin_fields_values', string='Expected Margin (%)', help="Expected margin * 100 / Expected Sale") _SPECIAL_SUM_AGGREGATES = {f"{name}:sum" for name in ( 'turnover', 'sale_avg_price', 'sale_num_invoiced', 'purchase_num_invoiced', 'sales_gap', 'purchase_gap', 'total_cost', 'sale_expected', 'normal_cost', 'total_margin', 'expected_margin', 'total_margin_rate', 'expected_margin_rate', )} def _read_group_select(self, aggregate_spec, query): # the purpose of this override is to flag the aggregates above as such: # field._description_aggregator() should simply not fail if aggregate_spec in self._SPECIAL_SUM_AGGREGATES: return SQL() return super()._read_group_select(aggregate_spec, query) @api.model def _read_group(self, domain, groupby=(), aggregates=(), having=(), offset=0, limit=None, order=None): """ Inherit _read_group to calculate the sum of the non-stored fields, as it is not automatically done anymore through the XML. """ if self._SPECIAL_SUM_AGGREGATES.isdisjoint(aggregates): return super()._read_group(domain, groupby, aggregates, having, offset, limit, order) base_aggregates = [*(agg for agg in aggregates if agg not in self._SPECIAL_SUM_AGGREGATES), 'id:recordset'] base_result = super()._read_group(domain, groupby, base_aggregates, having, offset, limit, order) # Force the compute of all records to bypass the limit compute batching (PREFETCH_MAX) all_records = self.browse().union(*(item[-1] for item in base_result)) # This line will compute all fields having _compute_product_margin_fields_values # as compute method. self._fields['turnover'].compute_value(all_records) # base_result = [(a1, b1, records), (a2, b2, records), ...] result = [] for *other, records in base_result: for index, spec in enumerate(itertools.chain(groupby, aggregates)): if spec in self._SPECIAL_SUM_AGGREGATES: field_name = spec.split(':')[0] other.insert(index, sum(records.mapped(field_name))) result.append(tuple(other)) return result def _compute_product_margin_fields_values(self): date_from = self.env.context.get('date_from', time.strftime('%Y-01-01')) date_to = self.env.context.get('date_to', time.strftime('%Y-12-31')) invoice_state = self.env.context.get('invoice_state', 'open_paid') res = { product_id: {'date_from': date_from, 'date_to': date_to, 'invoice_state': invoice_state, 'turnover': 0.0, 'sale_avg_price': 0.0, 'purchase_avg_price': 0.0, 'sale_num_invoiced': 0.0, 'purchase_num_invoiced': 0.0, 'sales_gap': 0.0, 'purchase_gap': 0.0, 'total_cost': 0.0, 'sale_expected': 0.0, 'normal_cost': 0.0, 'total_margin': 0.0, 'expected_margin': 0.0, 'total_margin_rate': 0.0, 'expected_margin_rate': 0.0} for product_id in self.ids } states = () payment_states = () if invoice_state == 'paid': states = ('posted',) payment_states = ('in_payment', 'paid', 'reversed') elif invoice_state == 'open_paid': states = ('posted',) payment_states = ('not_paid', 'in_payment', 'paid', 'reversed', 'partial') elif invoice_state == 'draft_open_paid': states = ('posted', 'draft') payment_states = ('not_paid', 'in_payment', 'paid', 'reversed', 'partial') if "force_company" in self.env.context: company_id = self.env.context['force_company'] else: company_id = self.env.company.id self.env['account.move.line'].flush_model(['price_unit', 'quantity', 'balance', 'product_id', 'display_type']) self.env['account.move'].flush_model(['state', 'payment_state', 'move_type', 'invoice_date', 'company_id']) self.env['product.template'].flush_model(['list_price']) sqlstr = """ WITH currency_rate AS MATERIALIZED ({}) SELECT l.product_id as product_id, SUM( l.price_unit / (CASE COALESCE(cr.rate, 0) WHEN 0 THEN 1.0 ELSE cr.rate END) * l.quantity * (CASE WHEN i.move_type IN ('out_invoice', 'in_invoice') THEN 1 ELSE -1 END) * ((100 - l.discount) * 0.01) ) / NULLIF(SUM(l.quantity * (CASE WHEN i.move_type IN ('out_invoice', 'in_invoice') THEN 1 ELSE -1 END)), 0) AS avg_unit_price, SUM(l.quantity * (CASE WHEN i.move_type IN ('out_invoice', 'in_invoice') THEN 1 ELSE -1 END)) AS num_qty, SUM(CASE WHEN i.move_type = 'out_invoice' THEN -l.balance WHEN i.move_type = 'in_invoice' THEN l.balance ELSE -ABS(l.balance) END) AS total, SUM(l.quantity * pt.list_price * (CASE WHEN i.move_type IN ('out_invoice', 'in_invoice') THEN 1 ELSE -1 END)) AS sale_expected FROM account_move_line l LEFT JOIN account_move i ON (l.move_id = i.id) LEFT JOIN product_product product ON (product.id=l.product_id) LEFT JOIN product_template pt ON (pt.id = product.product_tmpl_id) left join currency_rate cr on (cr.currency_id = i.currency_id and cr.company_id = i.company_id and cr.date_start <= COALESCE(i.invoice_date, NOW()) and (cr.date_end IS NULL OR cr.date_end > COALESCE(i.invoice_date, NOW()))) WHERE l.product_id IN %s AND i.state IN %s AND i.payment_state IN %s AND i.move_type IN %s AND i.invoice_date BETWEEN %s AND %s AND i.company_id = %s AND l.display_type = 'product' GROUP BY l.product_id """.format(self.env['res.currency']._select_companies_rates()) invoice_types = ('out_invoice', 'out_refund') self.env.cr.execute(sqlstr, (tuple(self.ids), states, payment_states, invoice_types, date_from, date_to, company_id)) for product_id, avg, qty, total, sale in self.env.cr.fetchall(): res[product_id]['sale_avg_price'] = avg and avg or 0.0 res[product_id]['sale_num_invoiced'] = qty and qty or 0.0 res[product_id]['turnover'] = total and total or 0.0 res[product_id]['sale_expected'] = sale and sale or 0.0 res[product_id]['sales_gap'] = res[product_id]['sale_expected'] - res[product_id]['turnover'] res[product_id]['total_margin'] = res[product_id]['turnover'] res[product_id]['expected_margin'] = res[product_id]['sale_expected'] res[product_id]['total_margin_rate'] = res[product_id]['turnover'] and res[product_id]['total_margin'] * 100 / res[product_id]['turnover'] or 0.0 res[product_id]['expected_margin_rate'] = res[product_id]['sale_expected'] and res[product_id]['expected_margin'] * 100 / res[product_id]['sale_expected'] or 0.0 ctx = self.env.context.copy() ctx['force_company'] = company_id invoice_types = ('in_invoice', 'in_refund') self.env.cr.execute(sqlstr, (tuple(self.ids), states, payment_states, invoice_types, date_from, date_to, company_id)) for product_id, avg, qty, total, dummy in self.env.cr.fetchall(): res[product_id]['purchase_avg_price'] = avg and avg or 0.0 res[product_id]['purchase_num_invoiced'] = qty and qty or 0.0 res[product_id]['total_cost'] = total and total or 0.0 res[product_id]['total_margin'] = res[product_id].get('turnover', 0.0) - res[product_id]['total_cost'] res[product_id]['total_margin_rate'] = res[product_id].get('turnover', 0.0) and res[product_id]['total_margin'] * 100 / res[product_id].get('turnover', 0.0) or 0.0 for product in self: res[product.id]['normal_cost'] = product.standard_price * res[product.id]['purchase_num_invoiced'] res[product.id]['purchase_gap'] = res[product.id]['normal_cost'] - res[product.id]['total_cost'] res[product.id]['expected_margin'] = res[product.id].get('sale_expected', 0.0) - res[product.id]['normal_cost'] res[product.id]['expected_margin_rate'] = res[product.id].get('sale_expected', 0.0) and res[product.id]['expected_margin'] * 100 / res[product.id].get('sale_expected', 0.0) or 0.0 product.update(res[product.id]) return res