468 lines
21 KiB
Python
468 lines
21 KiB
Python
# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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from math import sqrt
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from dateutil.relativedelta import relativedelta
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from datetime import datetime
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import random
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from odoo import api, models, fields, _
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from odoo.tools import DEFAULT_SERVER_DATETIME_FORMAT, float_round
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from odoo.osv.expression import OR
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class QualityPoint(models.Model):
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_inherit = "quality.point"
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failure_message = fields.Html('Failure Message')
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measure_on = fields.Selection([
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('operation', 'Operation'),
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('product', 'Product'),
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('move_line', 'Quantity')], string="Control per", default='product', required=True,
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help="""Operation = One quality check is requested at the operation level.
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Product = A quality check is requested per product.
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Quantity = A quality check is requested for each new product quantity registered, with partial quantity checks also possible.""")
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measure_frequency_type = fields.Selection([
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('all', 'All'),
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('random', 'Randomly'),
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('periodical', 'Periodically')], string="Control Frequency",
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default='all', required=True)
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measure_frequency_value = fields.Float('Percentage') # TDE RENAME ?
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measure_frequency_unit_value = fields.Integer('Frequency Unit Value') # TDE RENAME ?
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measure_frequency_unit = fields.Selection([
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('day', 'Days'),
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('week', 'Weeks'),
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('month', 'Months')], default="day") # TDE RENAME ?
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is_lot_tested_fractionally = fields.Boolean(string="Lot Tested Fractionally", help="Determines if only a fraction of the lot should be tested")
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testing_percentage_within_lot = fields.Float(help="Defines the percentage within a lot that should be tested")
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norm = fields.Float('Norm', digits='Quality Tests') # TDE RENAME ?
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tolerance_min = fields.Float('Min Tolerance', digits='Quality Tests')
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tolerance_max = fields.Float('Max Tolerance', digits='Quality Tests')
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norm_unit = fields.Char('Norm Unit', default=lambda self: 'mm') # TDE RENAME ?
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average = fields.Float(compute="_compute_standard_deviation_and_average")
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standard_deviation = fields.Float(compute="_compute_standard_deviation_and_average")
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def _compute_standard_deviation_and_average(self):
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# The variance and mean are computed by the Welford’s method and used the Bessel's
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# correction because are working on a sample.
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for point in self:
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if point.test_type != 'measure':
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point.average = 0
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point.standard_deviation = 0
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continue
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mean = 0.0
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s = 0.0
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n = 0
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for check in point.check_ids.filtered(lambda x: x.quality_state != 'none'):
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n += 1
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delta = check.measure - mean
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mean += delta / n
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delta2 = check.measure - mean
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s += delta * delta2
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if n > 1:
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point.average = mean
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point.standard_deviation = sqrt( s / ( n - 1))
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elif n == 1:
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point.average = mean
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point.standard_deviation = 0.0
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else:
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point.average = 0.0
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point.standard_deviation = 0.0
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@api.onchange('norm')
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def onchange_norm(self):
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if self.tolerance_max == 0.0:
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self.tolerance_max = self.norm
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def check_execute_now(self):
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self.ensure_one()
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if self.measure_frequency_type == 'all':
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return True
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elif self.measure_frequency_type == 'random':
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return (random.random() < self.measure_frequency_value / 100.0)
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elif self.measure_frequency_type == 'periodical':
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delta = False
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if self.measure_frequency_unit == 'day':
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delta = relativedelta(days=self.measure_frequency_unit_value)
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elif self.measure_frequency_unit == 'week':
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delta = relativedelta(weeks=self.measure_frequency_unit_value)
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elif self.measure_frequency_unit == 'month':
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delta = relativedelta(months=self.measure_frequency_unit_value)
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date_previous = datetime.today() - delta
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checks = self.env['quality.check'].search([
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('point_id', '=', self.id),
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('create_date', '>=', date_previous.strftime(DEFAULT_SERVER_DATETIME_FORMAT))], limit=1)
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return not(bool(checks))
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return super(QualityPoint, self).check_execute_now()
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def _get_type_default_domain(self):
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domain = super(QualityPoint, self)._get_type_default_domain()
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domain.append(('technical_name', '=', 'passfail'))
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return domain
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def action_see_quality_checks(self):
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self.ensure_one()
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action = self.env["ir.actions.actions"]._for_xml_id("quality_control.quality_check_action_main")
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action['domain'] = [('point_id', '=', self.id)]
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action['context'] = {
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'default_company_id': self.company_id.id,
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'default_point_id': self.id
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}
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return action
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def action_see_spc_control(self):
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self.ensure_one()
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action = self.env["ir.actions.actions"]._for_xml_id("quality_control.quality_check_action_spc")
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if self.test_type == 'measure':
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action['context'] = {'group_by': ['name', 'point_id'], 'graph_measure': ['measure'], 'graph_mode': 'line'}
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action['domain'] = [('point_id', '=', self.id), ('quality_state', '!=', 'none')]
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return action
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class QualityCheck(models.Model):
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_inherit = "quality.check"
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failure_message = fields.Html(related='point_id.failure_message', readonly=True)
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measure = fields.Float('Measure', default=0.0, digits='Quality Tests', tracking=True)
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measure_success = fields.Selection([
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('none', 'No measure'),
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('pass', 'Pass'),
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('fail', 'Fail')], string="Measure Success", compute="_compute_measure_success",
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readonly=True, store=True)
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tolerance_min = fields.Float('Min Tolerance', related='point_id.tolerance_min', readonly=True)
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tolerance_max = fields.Float('Max Tolerance', related='point_id.tolerance_max', readonly=True)
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warning_message = fields.Text(compute='_compute_warning_message')
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norm_unit = fields.Char(related='point_id.norm_unit', readonly=True)
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qty_to_test = fields.Float(compute="_compute_qty_to_test", string="Quantity to Test", help="Quantity of product to test within the lot")
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qty_tested = fields.Float(string="Quantity Tested", help="Quantity of product tested within the lot")
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measure_on = fields.Selection([
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('operation', 'Operation'),
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('product', 'Product'),
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('move_line', 'Quantity')], string="Control per", default='product', required=True,
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help="""Operation = One quality check is requested at the operation level.
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Product = A quality check is requested per product.
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Quantity = A quality check is requested for each new product quantity registered, with partial quantity checks also possible.""")
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move_line_id = fields.Many2one('stock.move.line', 'Stock Move Line', check_company=True, help="In case of Quality Check by Quantity, Move Line on which the Quality Check applies")
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lot_name = fields.Char('Lot/Serial Number Name')
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lot_line_id = fields.Many2one('stock.lot', store=True, compute='_compute_lot_line_id')
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qty_line = fields.Float(compute='_compute_qty_line', string="Quantity")
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uom_id = fields.Many2one(related='product_id.uom_id', string="Product Unit of Measure")
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show_lot_text = fields.Boolean(compute='_compute_show_lot_text')
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is_lot_tested_fractionally = fields.Boolean(related='point_id.is_lot_tested_fractionally')
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testing_percentage_within_lot = fields.Float(related="point_id.testing_percentage_within_lot")
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product_tracking = fields.Selection(related='product_id.tracking')
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@api.depends('measure_success')
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def _compute_warning_message(self):
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for rec in self:
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if rec.measure_success == 'fail':
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rec.warning_message = _('You measured %.2f %s and it should be between %.2f and %.2f %s.') % (
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rec.measure, rec.norm_unit, rec.point_id.tolerance_min,
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rec.point_id.tolerance_max, rec.norm_unit
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)
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else:
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rec.warning_message = ''
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@api.depends('move_line_id.qty_done')
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def _compute_qty_line(self):
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for qc in self:
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qc.qty_line = qc.move_line_id.qty_done
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@api.depends('move_line_id.lot_id')
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def _compute_lot_line_id(self):
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for qc in self:
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qc.lot_line_id = qc.move_line_id.lot_id
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if qc.lot_line_id:
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qc.lot_id = qc.lot_line_id
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@api.depends('measure')
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def _compute_measure_success(self):
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for rec in self:
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if rec.point_id.test_type == 'passfail':
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rec.measure_success = 'none'
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else:
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if rec.measure < rec.point_id.tolerance_min or rec.measure > rec.point_id.tolerance_max:
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rec.measure_success = 'fail'
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else:
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rec.measure_success = 'pass'
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# Add picture dependency
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@api.depends('picture')
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def _compute_result(self):
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super(QualityCheck, self)._compute_result()
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@api.depends('qty_line', 'testing_percentage_within_lot', 'is_lot_tested_fractionally')
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def _compute_qty_to_test(self):
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for qc in self:
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if qc.is_lot_tested_fractionally:
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qc.qty_to_test = float_round(qc.qty_line * qc.testing_percentage_within_lot / 100, precision_rounding=self.product_id.uom_id.rounding, rounding_method="UP")
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else:
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qc.qty_to_test = qc.qty_line
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@api.depends('lot_line_id', 'move_line_id')
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def _compute_show_lot_text(self):
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for qc in self:
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if qc.lot_line_id or not qc.move_line_id:
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qc.show_lot_text = False
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else:
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qc.show_lot_text = True
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def _is_pass_fail_applicable(self):
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if self.test_type in ['passfail', 'measure']:
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return True
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return super()._is_pass_fail_applicable()
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def _get_check_result(self):
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if self.test_type == 'picture' and self.picture:
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return _('Picture Uploaded')
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else:
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return super(QualityCheck, self)._get_check_result()
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def _check_to_unlink(self):
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return True
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def do_measure(self):
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self.ensure_one()
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if self.measure < self.point_id.tolerance_min or self.measure > self.point_id.tolerance_max:
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return self.do_fail()
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else:
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return self.do_pass()
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def correct_measure(self):
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self.ensure_one()
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return {
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'name': _('Quality Checks'),
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'type': 'ir.actions.act_window',
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'res_model': 'quality.check',
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'view_mode': 'form',
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'view_id': self.env.ref('quality_control.quality_check_view_form_small').id,
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'target': 'new',
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'res_id': self.id,
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'context': self.env.context,
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}
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def do_alert(self):
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self.ensure_one()
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alert = self.env['quality.alert'].create({
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'check_id': self.id,
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'product_id': self.product_id.id,
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'product_tmpl_id': self.product_id.product_tmpl_id.id,
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'lot_id': self.lot_id.id,
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'user_id': self.user_id.id,
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'team_id': self.team_id.id,
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'company_id': self.company_id.id
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})
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return {
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'name': _('Quality Alert'),
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'type': 'ir.actions.act_window',
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'res_model': 'quality.alert',
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'views': [(self.env.ref('quality_control.quality_alert_view_form').id, 'form')],
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'res_id': alert.id,
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'context': {'default_check_id': self.id},
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}
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def action_see_alerts(self):
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self.ensure_one()
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if len(self.alert_ids) == 1:
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return {
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'name': _('Quality Alert'),
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'type': 'ir.actions.act_window',
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'res_model': 'quality.alert',
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'views': [(self.env.ref('quality_control.quality_alert_view_form').id, 'form')],
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'res_id': self.alert_ids.ids[0],
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'context': {'default_check_id': self.id},
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}
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else:
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action = self.env["ir.actions.actions"]._for_xml_id("quality_control.quality_alert_action_check")
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action['domain'] = [('id', 'in', self.alert_ids.ids)]
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action['context'] = dict(self._context, default_check_id=self.id)
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return action
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def action_open_quality_check_wizard(self, current_check_id=None):
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check_ids = sorted(self.ids)
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action = self.env["ir.actions.actions"]._for_xml_id("quality_control.action_quality_check_wizard")
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action['context'] = self.env.context.copy()
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action['context'].update({
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'default_check_ids': check_ids,
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'default_current_check_id': current_check_id or check_ids[0],
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})
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return action
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class QualityAlert(models.Model):
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_inherit = "quality.alert"
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title = fields.Char('Title')
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def action_see_check(self):
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return {
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'name': _('Quality Check'),
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'type': 'ir.actions.act_window',
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'view_mode': 'form',
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'res_model': 'quality.check',
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'target': 'current',
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'res_id': self.check_id.id,
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}
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@api.depends('name', 'title')
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def name_get(self):
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result = []
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for record in self:
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name = record.name + ' - ' + record.title if record.title else record.name
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result.append((record.id, name))
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return result
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@api.model
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def name_create(self, name):
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""" Create an alert with name_create should use prepend the sequence in the name """
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values = {
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'title': name,
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}
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return self.create(values).name_get()[0]
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@api.model
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def message_new(self, msg_dict, custom_values=None):
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""" Override, used with creation by email alias. The purpose of the override is
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to use the subject for title and body for description instead of the name.
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"""
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# We need to add the name in custom_values or it will use the subject.
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custom_values['name'] = self.env['ir.sequence'].next_by_code('quality.alert') or _('New')
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if msg_dict.get('subject'):
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custom_values['title'] = msg_dict['subject']
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if msg_dict.get('body'):
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custom_values['description'] = msg_dict['body']
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return super(QualityAlert, self).message_new(msg_dict, custom_values)
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class ProductTemplate(models.Model):
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_inherit = "product.template"
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quality_control_point_qty = fields.Integer(compute='_compute_quality_check_qty', groups='quality.group_quality_user')
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quality_pass_qty = fields.Integer(compute='_compute_quality_check_qty', groups='quality.group_quality_user')
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quality_fail_qty = fields.Integer(compute='_compute_quality_check_qty', groups='quality.group_quality_user')
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@api.depends('product_variant_ids')
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def _compute_quality_check_qty(self):
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for product_tmpl in self:
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product_tmpl.quality_fail_qty, product_tmpl.quality_pass_qty = product_tmpl.product_variant_ids._count_quality_checks()
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product_tmpl.quality_control_point_qty = product_tmpl.with_context(active_test=product_tmpl.active).product_variant_ids._count_quality_points()
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def action_see_quality_control_points(self):
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self.ensure_one()
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action = self.env["ir.actions.actions"]._for_xml_id("quality_control.quality_point_action")
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action['context'] = dict(self.env.context, default_product_ids=self.product_variant_ids.ids)
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domain_in_products_or_categs = ['|', ('product_ids', 'in', self.product_variant_ids.ids), ('product_category_ids', 'parent_of', self.categ_id.ids)]
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domain_no_products_and_categs = [('product_ids', '=', False), ('product_category_ids', '=', False)]
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action['domain'] = OR([domain_in_products_or_categs, domain_no_products_and_categs])
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return action
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def action_see_quality_checks(self):
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self.ensure_one()
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action = self.env["ir.actions.actions"]._for_xml_id("quality_control.quality_check_action_main")
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action['context'] = dict(self.env.context, default_product_id=self.product_variant_id.id, create=False)
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action['domain'] = [
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'|',
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('product_id', 'in', self.product_variant_ids.ids),
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'&',
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('measure_on', '=', 'operation'),
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('picking_id.move_ids.product_tmpl_id', '=', self.id),
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]
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return action
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class ProductProduct(models.Model):
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_inherit = "product.product"
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quality_control_point_qty = fields.Integer(compute='_compute_quality_check_qty', groups='quality.group_quality_user')
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quality_pass_qty = fields.Integer(compute='_compute_quality_check_qty', groups='quality.group_quality_user')
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quality_fail_qty = fields.Integer(compute='_compute_quality_check_qty', groups='quality.group_quality_user')
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def _compute_quality_check_qty(self):
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for product in self:
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product.quality_fail_qty, product.quality_pass_qty = product._count_quality_checks()
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product.quality_control_point_qty = product._count_quality_points()
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def _count_quality_checks(self):
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quality_fail_qty = 0
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quality_pass_qty = 0
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domain = [
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'|',
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('product_id', 'in', self.ids),
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'&',
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('measure_on', '=', 'operation'),
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('picking_id.move_ids.product_id', 'in', self.ids),
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('company_id', '=', self.env.company.id),
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('quality_state', '!=', 'none')
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]
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quality_checks_by_state = self.env['quality.check']._read_group(domain, ['product_id'], ['quality_state'])
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for checks_data in quality_checks_by_state:
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if checks_data['quality_state'] == 'fail':
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quality_fail_qty = checks_data['quality_state_count']
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elif checks_data['quality_state'] == 'pass':
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quality_pass_qty = checks_data['quality_state_count']
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return quality_fail_qty, quality_pass_qty
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def _count_quality_points(self):
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""" Compute the count of all related quality points, which means quality points that have either
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the product in common, a product category parent of this product's category or no product/category
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set at all.
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"""
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query = self.env['quality.point']._where_calc([('company_id', '=', self.env.company.id)])
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self.env['quality.point']._apply_ir_rules(query, 'read')
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_, where_clause, where_clause_args = query.get_sql()
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additional_where_clause = self._additional_quality_point_where_clause()
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where_clause += additional_where_clause
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parent_category_ids = [int(parent_id) for parent_id in self.categ_id.parent_path.split('/')[:-1]] if self.categ_id else []
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self.env.cr.execute("""
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SELECT COUNT(*)
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FROM quality_point
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WHERE %s
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AND (
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(
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-- QP has at least one linked product and one is right
|
||
EXISTS (SELECT 1 FROM product_product_quality_point_rel rel WHERE rel.quality_point_id = quality_point.id AND rel.product_product_id = ANY(%%s))
|
||
-- Or QP has at least one linked product category and one is right
|
||
OR EXISTS (SELECT 1 FROM product_category_quality_point_rel rel WHERE rel.quality_point_id = quality_point.id AND rel.product_category_id = ANY(%%s))
|
||
)
|
||
OR (
|
||
-- QP has no linked products
|
||
NOT EXISTS (SELECT 1 FROM product_product_quality_point_rel rel WHERE rel.quality_point_id = quality_point.id)
|
||
-- And QP has no linked product categories
|
||
AND NOT EXISTS (SELECT 1 FROM product_category_quality_point_rel rel WHERE rel.quality_point_id = quality_point.id)
|
||
)
|
||
)
|
||
""" % (where_clause,), where_clause_args + [self.ids, parent_category_ids]
|
||
)
|
||
return self.env.cr.fetchone()[0]
|
||
|
||
def action_see_quality_control_points(self):
|
||
self.ensure_one()
|
||
action = self.product_tmpl_id.action_see_quality_control_points()
|
||
action['context'].update(default_product_ids=self.ids)
|
||
|
||
domain_in_products_or_categs = ['|', ('product_ids', 'in', self.ids), ('product_category_ids', 'parent_of', self.categ_id.ids)]
|
||
domain_no_products_and_categs = [('product_ids', '=', False), ('product_category_ids', '=', False)]
|
||
action['domain'] = OR([domain_in_products_or_categs, domain_no_products_and_categs])
|
||
return action
|
||
|
||
def action_see_quality_checks(self):
|
||
self.ensure_one()
|
||
action = self.env["ir.actions.actions"]._for_xml_id("quality_control.quality_check_action_main")
|
||
action['context'] = dict(self.env.context, default_product_id=self.id, create=False)
|
||
action['domain'] = [
|
||
'|',
|
||
('product_id', '=', self.id),
|
||
'&',
|
||
('measure_on', '=', 'operation'),
|
||
('picking_id.move_ids.product_id', '=', self.id),
|
||
]
|
||
return action
|
||
|
||
def _additional_quality_point_where_clause(self):
|
||
return ""
|