Multi is the default api for methods, it is not necessary to explicitly decorate methods with it, adds clutter and most people use it because they see that the rest of the code uses it. Done with `find . -type f -name '*.py' | xargs sed -i '/@api.multi/d'`
263 lines
14 KiB
Python
263 lines
14 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 dateutil import relativedelta
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import datetime
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from odoo import api, exceptions, fields, models, _
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from odoo.exceptions import ValidationError
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class MrpWorkcenter(models.Model):
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_name = 'mrp.workcenter'
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_description = 'Work Center'
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_order = "sequence, id"
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_inherit = ['resource.mixin']
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# resource
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name = fields.Char('Work Center', related='resource_id.name', store=True, readonly=False)
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time_efficiency = fields.Float('Time Efficiency', related='resource_id.time_efficiency', default=100, store=True, readonly=False)
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active = fields.Boolean('Active', related='resource_id.active', default=True, store=True, readonly=False)
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code = fields.Char('Code', copy=False)
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note = fields.Text(
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'Description',
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help="Description of the Work Center.")
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capacity = fields.Float(
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'Capacity', default=1.0, oldname='capacity_per_cycle',
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help="Number of pieces that can be produced in parallel.")
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sequence = fields.Integer(
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'Sequence', default=1, required=True,
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help="Gives the sequence order when displaying a list of work centers.")
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color = fields.Integer('Color')
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costs_hour = fields.Float(string='Cost per hour', help='Specify cost of work center per hour.', default=0.0)
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time_start = fields.Float('Time before prod.', help="Time in minutes for the setup.")
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time_stop = fields.Float('Time after prod.', help="Time in minutes for the cleaning.")
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routing_line_ids = fields.One2many('mrp.routing.workcenter', 'workcenter_id', "Routing Lines")
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order_ids = fields.One2many('mrp.workorder', 'workcenter_id', "Orders")
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workorder_count = fields.Integer('# Work Orders', compute='_compute_workorder_count')
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workorder_ready_count = fields.Integer('# Read Work Orders', compute='_compute_workorder_count')
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workorder_progress_count = fields.Integer('Total Running Orders', compute='_compute_workorder_count')
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workorder_pending_count = fields.Integer('Total Pending Orders', compute='_compute_workorder_count')
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workorder_late_count = fields.Integer('Total Late Orders', compute='_compute_workorder_count')
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time_ids = fields.One2many('mrp.workcenter.productivity', 'workcenter_id', 'Time Logs')
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working_state = fields.Selection([
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('normal', 'Normal'),
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('blocked', 'Blocked'),
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('done', 'In Progress')], 'Workcenter Status', compute="_compute_working_state", store=True)
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blocked_time = fields.Float(
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'Blocked Time', compute='_compute_blocked_time',
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help='Blocked hours over the last month', digits=(16, 2))
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productive_time = fields.Float(
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'Productive Time', compute='_compute_productive_time',
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help='Productive hours over the last month', digits=(16, 2))
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oee = fields.Float(compute='_compute_oee', help='Overall Equipment Effectiveness, based on the last month')
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oee_target = fields.Float(string='OEE Target', help="OEE Target in percentage", default=90)
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performance = fields.Integer('Performance', compute='_compute_performance', help='Performance over the last month')
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workcenter_load = fields.Float('Work Center Load', compute='_compute_workorder_count')
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alternative_workcenter_ids = fields.Many2many(
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'mrp.workcenter',
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'mrp_workcenter_alternative_rel',
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'workcenter_id',
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'alternative_workcenter_id',
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string="Alternative Workcenters",
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help="Alternative workcenters that can be substituted to this one in order to dispatch production"
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)
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@api.constrains('alternative_workcenter_ids')
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def _check_alternative_workcenter(self):
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if self in self.alternative_workcenter_ids:
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raise ValidationError(_("A workcenter cannot be an alternative of itself"))
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@api.depends('order_ids.duration_expected', 'order_ids.workcenter_id', 'order_ids.state', 'order_ids.date_planned_start')
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def _compute_workorder_count(self):
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MrpWorkorder = self.env['mrp.workorder']
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result = {wid: {} for wid in self._ids}
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result_duration_expected = {wid: 0 for wid in self._ids}
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#Count Late Workorder
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data = MrpWorkorder.read_group([('workcenter_id', 'in', self.ids), ('state', 'in', ('pending', 'ready')), ('date_planned_start', '<', datetime.datetime.now().strftime('%Y-%m-%d'))], ['workcenter_id'], ['workcenter_id'])
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count_data = dict((item['workcenter_id'][0], item['workcenter_id_count']) for item in data)
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#Count All, Pending, Ready, Progress Workorder
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res = MrpWorkorder.read_group(
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[('workcenter_id', 'in', self.ids)],
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['workcenter_id', 'state', 'duration_expected'], ['workcenter_id', 'state'],
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lazy=False)
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for res_group in res:
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result[res_group['workcenter_id'][0]][res_group['state']] = res_group['__count']
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if res_group['state'] in ('pending', 'ready', 'progress'):
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result_duration_expected[res_group['workcenter_id'][0]] += res_group['duration_expected']
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for workcenter in self:
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workcenter.workorder_count = sum(count for state, count in result[workcenter.id].items() if state not in ('done', 'cancel'))
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workcenter.workorder_pending_count = result[workcenter.id].get('pending', 0)
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workcenter.workcenter_load = result_duration_expected[workcenter.id]
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workcenter.workorder_ready_count = result[workcenter.id].get('ready', 0)
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workcenter.workorder_progress_count = result[workcenter.id].get('progress', 0)
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workcenter.workorder_late_count = count_data.get(workcenter.id, 0)
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@api.depends('time_ids', 'time_ids.date_end', 'time_ids.loss_type')
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def _compute_working_state(self):
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for workcenter in self:
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# We search for a productivity line associated to this workcenter having no `date_end`.
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# If we do not find one, the workcenter is not currently being used. If we find one, according
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# to its `type_loss`, the workcenter is either being used or blocked.
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time_log = self.env['mrp.workcenter.productivity'].search([
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('workcenter_id', '=', workcenter.id),
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('date_end', '=', False)
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], limit=1)
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if not time_log:
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# the workcenter is not being used
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workcenter.working_state = 'normal'
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elif time_log.loss_type in ('productive', 'performance'):
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# the productivity line has a `loss_type` that means the workcenter is being used
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workcenter.working_state = 'done'
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else:
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# the workcenter is blocked
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workcenter.working_state = 'blocked'
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def _compute_blocked_time(self):
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# TDE FIXME: productivity loss type should be only losses, probably count other time logs differently ??
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data = self.env['mrp.workcenter.productivity'].read_group([
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('date_start', '>=', fields.Datetime.to_string(datetime.datetime.now() - relativedelta.relativedelta(months=1))),
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('workcenter_id', 'in', self.ids),
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('date_end', '!=', False),
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('loss_type', '!=', 'productive')],
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['duration', 'workcenter_id'], ['workcenter_id'], lazy=False)
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count_data = dict((item['workcenter_id'][0], item['duration']) for item in data)
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for workcenter in self:
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workcenter.blocked_time = count_data.get(workcenter.id, 0.0) / 60.0
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def _compute_productive_time(self):
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# TDE FIXME: productivity loss type should be only losses, probably count other time logs differently
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data = self.env['mrp.workcenter.productivity'].read_group([
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('date_start', '>=', fields.Datetime.to_string(datetime.datetime.now() - relativedelta.relativedelta(months=1))),
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('workcenter_id', 'in', self.ids),
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('date_end', '!=', False),
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('loss_type', '=', 'productive')],
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['duration', 'workcenter_id'], ['workcenter_id'], lazy=False)
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count_data = dict((item['workcenter_id'][0], item['duration']) for item in data)
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for workcenter in self:
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workcenter.productive_time = count_data.get(workcenter.id, 0.0) / 60.0
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@api.depends('blocked_time', 'productive_time')
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def _compute_oee(self):
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for order in self:
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if order.productive_time:
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order.oee = round(order.productive_time * 100.0 / (order.productive_time + order.blocked_time), 2)
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else:
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order.oee = 0.0
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def _compute_performance(self):
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wo_data = self.env['mrp.workorder'].read_group([
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('date_start', '>=', fields.Datetime.to_string(datetime.datetime.now() - relativedelta.relativedelta(months=1))),
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('workcenter_id', 'in', self.ids),
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('state', '=', 'done')], ['duration_expected', 'workcenter_id', 'duration'], ['workcenter_id'], lazy=False)
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duration_expected = dict((data['workcenter_id'][0], data['duration_expected']) for data in wo_data)
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duration = dict((data['workcenter_id'][0], data['duration']) for data in wo_data)
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for workcenter in self:
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if duration.get(workcenter.id):
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workcenter.performance = 100 * duration_expected.get(workcenter.id, 0.0) / duration[workcenter.id]
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else:
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workcenter.performance = 0.0
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@api.constrains('capacity')
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def _check_capacity(self):
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if any(workcenter.capacity <= 0.0 for workcenter in self):
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raise exceptions.UserError(_('The capacity must be strictly positive.'))
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def unblock(self):
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self.ensure_one()
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if self.working_state != 'blocked':
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raise exceptions.UserError(_("It has already been unblocked."))
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times = self.env['mrp.workcenter.productivity'].search([('workcenter_id', '=', self.id), ('date_end', '=', False)])
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times.write({'date_end': fields.Datetime.now()})
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return {'type': 'ir.actions.client', 'tag': 'reload'}
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@api.model
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def create(self, vals):
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# resource_type is 'human' by default. As we are not living in
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# /r/latestagecapitalism, workcenters are 'material'
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return super(MrpWorkcenter, self.with_context({
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'default_resource_type': 'material'})).create(vals)
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def action_work_order(self):
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action = self.env.ref('mrp.action_work_orders').read()[0]
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return action
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class MrpWorkcenterProductivityLossType(models.Model):
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_name = "mrp.workcenter.productivity.loss.type"
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_description = 'MRP Workorder productivity losses'
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_rec_name = 'loss_type'
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@api.depends('loss_type')
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def name_get(self):
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""" As 'category' field in form view is a Many2one, its value will be in
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lower case. In order to display its value capitalized 'name_get' is
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overrided.
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"""
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result = []
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for rec in self:
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result.append((rec.id, rec.loss_type.title()))
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return result
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loss_type = fields.Selection([
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('availability', 'Availability'),
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('performance', 'Performance'),
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('quality', 'Quality'),
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('productive', 'Productive')], string='Category', default='availability', required=True)
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class MrpWorkcenterProductivityLoss(models.Model):
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_name = "mrp.workcenter.productivity.loss"
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_description = "Workcenter Productivity Losses"
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_order = "sequence, id"
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name = fields.Char('Blocking Reason', required=True)
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sequence = fields.Integer('Sequence', default=1)
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manual = fields.Boolean('Is a Blocking Reason', default=True)
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loss_id = fields.Many2one('mrp.workcenter.productivity.loss.type', domain=([('loss_type', 'in', ['quality', 'availability'])]), string='Category')
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loss_type = fields.Selection(string='Effectiveness Category', related='loss_id.loss_type', store=True, readonly=False)
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class MrpWorkcenterProductivity(models.Model):
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_name = "mrp.workcenter.productivity"
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_description = "Workcenter Productivity Log"
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_order = "id desc"
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_rec_name = "loss_id"
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production_id = fields.Many2one('mrp.production', string='Manufacturing Order', related='workorder_id.production_id', readonly='True')
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workcenter_id = fields.Many2one('mrp.workcenter', "Work Center", required=True)
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workorder_id = fields.Many2one('mrp.workorder', 'Work Order')
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user_id = fields.Many2one(
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'res.users', "User",
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default=lambda self: self.env.uid)
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loss_id = fields.Many2one(
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'mrp.workcenter.productivity.loss', "Loss Reason",
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ondelete='restrict', required=True)
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loss_type = fields.Selection(
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"Effectiveness", related='loss_id.loss_type', store=True, readonly=False)
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description = fields.Text('Description')
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date_start = fields.Datetime('Start Date', default=fields.Datetime.now, required=True)
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date_end = fields.Datetime('End Date')
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duration = fields.Float('Duration', compute='_compute_duration', store=True)
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@api.depends('date_end', 'date_start')
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def _compute_duration(self):
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for blocktime in self:
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if blocktime.date_end:
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d1 = fields.Datetime.from_string(blocktime.date_start)
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d2 = fields.Datetime.from_string(blocktime.date_end)
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diff = d2 - d1
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if (blocktime.loss_type not in ('productive', 'performance')) and blocktime.workcenter_id.resource_calendar_id:
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r = blocktime.workcenter_id._get_work_days_data(d1, d2)['hours']
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blocktime.duration = round(r * 60, 2)
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else:
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blocktime.duration = round(diff.total_seconds() / 60.0, 2)
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else:
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blocktime.duration = 0.0
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def button_block(self):
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self.ensure_one()
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self.workcenter_id.order_ids.end_all()
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