237 lines
11 KiB
Python
237 lines
11 KiB
Python
# -*- coding: utf-8 -*-
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# Part of Odoo, Flectra. See LICENSE file for full copyright and licensing details.
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from dateutil.relativedelta import relativedelta
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from flectra import api, fields, models, _
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from flectra.tools.safe_eval import safe_eval
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from flectra.exceptions import ValidationError
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class Team(models.Model):
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_name = 'crm.team'
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_inherit = ['mail.alias.mixin', 'crm.team']
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use_leads = fields.Boolean('Leads', help="Check this box to filter and qualify incoming requests as leads before converting them into opportunities and assigning them to a salesperson.")
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use_opportunities = fields.Boolean('Pipeline', help="Check this box to manage a presales process with opportunities.")
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alias_id = fields.Many2one('mail.alias', string='Alias', ondelete="restrict", required=True, help="The email address associated with this channel. New emails received will automatically create new leads assigned to the channel.")
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unassigned_leads_count = fields.Integer(
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compute='_compute_unassigned_leads_count',
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string='Unassigned Leads', readonly=True)
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opportunities_count = fields.Integer(
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compute='_compute_opportunities',
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string='Number of open opportunities', readonly=True)
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opportunities_amount = fields.Integer(
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compute='_compute_opportunities',
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string='Amount of quotations to invoice', readonly=True)
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dashboard_graph_model = fields.Selection(selection_add=[('crm.opportunity.report', 'Pipeline')])
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dashboard_graph_period_pipeline = fields.Selection([
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('week', 'Within a Week'),
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('month', 'Within a Month'),
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('year', 'Within a Year'),
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], string='Expected to Close', help="The time period this channel's dashboard graph will consider.",
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compute="_compute_dashboard_graph_period_pipeline", inverse="_inverse_dashboard_graph_period_pipeline")
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dashboard_graph_group_pipeline = fields.Selection([
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('day', 'Expected Closing Day'),
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('week', 'Expected Closing Week'),
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('month', 'Expected Closing Month'),
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('user', 'Salesperson'),
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('stage', 'Stage'),
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], string='Group by', default='day', help="How this channel's dashboard graph will group the results.")
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def _compute_unassigned_leads_count(self):
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leads_data = self.env['crm.lead'].read_group([
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('team_id', 'in', self.ids),
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('type', '=', 'lead'),
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('user_id', '=', False),
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], ['team_id'], ['team_id'])
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counts = {datum['team_id'][0]: datum['team_id_count'] for datum in leads_data}
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for team in self:
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team.unassigned_leads_count = counts.get(team.id, 0)
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def _compute_opportunities(self):
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opportunity_data = self.env['crm.lead'].read_group([
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('team_id', 'in', self.ids),
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('probability', '<', 100),
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('type', '=', 'opportunity'),
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], ['planned_revenue', 'probability', 'team_id'], ['team_id'])
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counts = {datum['team_id'][0]: datum['team_id_count'] for datum in opportunity_data}
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amounts = {datum['team_id'][0]: (datum['planned_revenue'] * datum['probability'] / 100) for datum in opportunity_data}
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for team in self:
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team.opportunities_count = counts.get(team.id, 0)
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team.opportunities_amount = amounts.get(team.id, 0)
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def _compute_dashboard_graph_period_pipeline(self):
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for channel in self:
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channel.dashboard_graph_period_pipeline = channel.dashboard_graph_period
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def _inverse_dashboard_graph_period_pipeline(self):
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for channel in self.filtered(lambda ch: ch.dashboard_graph_model == 'crm.opportunity.report'):
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channel.dashboard_graph_period = channel.dashboard_graph_period_pipeline
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def get_alias_model_name(self, vals):
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return 'crm.lead'
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def get_alias_values(self):
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has_group_use_lead = self.env.user.has_group('crm.group_use_lead')
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values = super(Team, self).get_alias_values()
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values['alias_defaults'] = defaults = safe_eval(self.alias_defaults or "{}")
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defaults['type'] = 'lead' if has_group_use_lead and self.use_leads else 'opportunity'
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defaults['team_id'] = self.id
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defaults['branch_id'] = self.branch_id.id
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return values
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@api.onchange('use_leads', 'use_opportunities')
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def _onchange_use_leads_opportunities(self):
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if not self.use_leads and not self.use_opportunities:
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self.alias_name = False
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if not self.use_opportunities and self.use_leads:
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self.use_leads = False
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@api.onchange('team_type')
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def _onchange_team_type(self):
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if self.team_type == 'sales':
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self.use_opportunities = True
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self.use_leads = lambda self: self.user_has_groups('crm.group_use_lead')
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self.dashboard_graph_model = 'crm.opportunity.report'
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else:
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self.use_opportunities = False
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self.use_leads = False
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return super(Team, self)._onchange_team_type()
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@api.onchange('dashboard_graph_model')
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def _onchange_dashboard_graph_model(self):
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if self.dashboard_graph_model == 'crm.opportunity.report':
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self.dashboard_graph_period_pipeline = self.dashboard_graph_period
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self.dashboard_graph_group_pipeline = self.dashboard_graph_group
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else:
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self.dashboard_graph_period = self.dashboard_graph_period_pipeline
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if not self.dashboard_graph_group:
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self.dashboard_graph_group = self._fields['dashboard_graph_group'].default(self)
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@api.onchange('dashboard_graph_group_pipeline')
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def _onchange_dashboard_graph_group_pipeline(self):
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if self.dashboard_graph_group_pipeline == 'stage':
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self.dashboard_graph_group = False
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else:
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self.dashboard_graph_group = self.dashboard_graph_group_pipeline
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@api.constrains('dashboard_graph_model', 'use_opportunities')
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def _check_graph_model(self):
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if not self.use_opportunities and self.dashboard_graph_model == 'crm.opportunity.report':
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raise ValidationError(_("Dashboard graph content cannot be Pipeline if the sales channel doesn't use it. (Pipeline is unchecked.)"))
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@api.multi
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def write(self, vals):
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result = super(Team, self).write(vals)
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if 'use_leads' in vals or 'alias_defaults' in vals:
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for team in self:
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team.alias_id.write(team.get_alias_values())
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return result
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#TODO JEM : refactor this stuff with xml action, proper customization,
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@api.model
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def action_your_pipeline(self):
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action = self.env.ref('crm.crm_lead_opportunities_tree_view').read()[0]
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user_team_id = self.env.user.sale_team_id.id
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if not user_team_id:
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user_team_id = self.search([], limit=1).id
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action['help'] = """<p class='oe_view_nocontent_create'>Click here to add new opportunities</p><p>
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Looks like you are not a member of a sales channel. You should add yourself
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as a member of one of the sales channel.
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</p>"""
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if user_team_id:
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action['help'] += "<p>As you don't belong to any sales channel, Flectra opens the first one by default.</p>"
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action_context = safe_eval(action['context'], {'uid': self.env.uid})
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if user_team_id:
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action_context['default_team_id'] = user_team_id
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tree_view_id = self.env.ref('crm.crm_case_tree_view_oppor').id
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form_view_id = self.env.ref('crm.crm_case_form_view_oppor').id
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kanb_view_id = self.env.ref('crm.crm_case_kanban_view_leads').id
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action['views'] = [
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[kanb_view_id, 'kanban'],
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[tree_view_id, 'tree'],
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[form_view_id, 'form'],
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[False, 'graph'],
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[False, 'calendar'],
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[False, 'pivot']
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]
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action['context'] = action_context
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return action
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def _compute_dashboard_button_name(self):
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opportunity_teams = self.filtered('use_opportunities')
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opportunity_teams.update({'dashboard_button_name': _("Pipeline")})
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super(Team, self - opportunity_teams)._compute_dashboard_button_name()
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def action_primary_channel_button(self):
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if self.use_opportunities:
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action = self.env.ref('crm.crm_case_form_view_salesteams_opportunity').read()[0]
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return action
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return super(Team, self).action_primary_channel_button()
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def _graph_get_dates(self, today):
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""" return a coherent start and end date for the dashboard graph according to the graph settings.
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"""
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if self.dashboard_graph_model == 'crm.opportunity.report':
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if self.dashboard_graph_group == 'month':
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start_date = today.replace(day=1)
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elif self.dashboard_graph_group == 'week':
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start_date = today - relativedelta(days=today.isocalendar()[2] - 1)
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else:
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start_date = today
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if self.dashboard_graph_period == 'week':
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end_date = today + relativedelta(weeks=1)
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elif self.dashboard_graph_period == 'year':
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end_date = today + relativedelta(years=1)
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else:
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end_date = today + relativedelta(months=1)
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# we take the end of the preceding month/week/day if we group by month/week/day
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# (to avoid having twice the same month/week/day from different years/month/week)
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if self.dashboard_graph_group == 'month':
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end_date = end_date.replace(day=1) - relativedelta(days=1)
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elif self.dashboard_graph_group == 'week':
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end_date -= relativedelta(days=end_date.isocalendar()[2])
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else:
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end_date -= relativedelta(days=1)
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return [start_date, end_date]
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return super(Team, self)._graph_get_dates(today)
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def _get_graph(self):
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graph_datas = super(Team, self)._get_graph()
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if self.dashboard_graph_model == 'crm.opportunity.report' and self.dashboard_graph_group_pipeline == 'stage':
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stage_ids = [d['label'] for d in graph_datas[0]['values'] if d['label'] is not None]
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stage_data = self.env['crm.stage'].browse(stage_ids).read(['sequence', 'name'])
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stage_data = {d['id']: {'name': d['name'], 'sequence': d['sequence']} for d in stage_data}
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# use "Undefined" stage for unset stage records
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stage_data[None] = {'name': _('Undefined'), 'sequence': -1}
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graph_datas[0]['values'] = sorted(graph_datas[0]['values'], key=lambda el: stage_data[el['label']]['sequence'])
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for gdata in graph_datas[0]['values']:
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gdata['label'] = stage_data[gdata['label']]['name']
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return graph_datas
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def _graph_date_column(self):
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if self.dashboard_graph_model == 'crm.opportunity.report':
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return 'date_deadline'
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return super(Team, self)._graph_date_column()
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def _graph_x_query(self):
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if self.dashboard_graph_model == 'crm.opportunity.report' and self.dashboard_graph_group_pipeline == 'stage':
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return 'stage_id'
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return super(Team, self)._graph_x_query()
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def _graph_y_query(self):
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if self.dashboard_graph_model == 'crm.opportunity.report':
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return 'SUM(expected_revenue)'
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return super(Team, self)._graph_y_query()
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def _graph_title_and_key(self):
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if self.dashboard_graph_model == 'crm.opportunity.report':
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return ['', _('Pipeline: Expected Revenue')] # no more title
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return super(Team, self)._graph_title_and_key()
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