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