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# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from datetime import timedelta
from odoo import api, fields, models
class ResConfigSettings(models.TransientModel):
_inherit = 'res.config.settings'
crm_alias_prefix = fields.Char(
'Default Alias Name for Leads',
compute="_compute_crm_alias_prefix" , readonly=False, store=True)
generate_lead_from_alias = fields.Boolean(
'Manual Assignment of Emails', config_parameter='crm.generate_lead_from_alias',
compute="_compute_generate_lead_from_alias", readonly=False, store=True)
group_use_lead = fields.Boolean(string="Leads", implied_group='crm.group_use_lead')
group_use_recurring_revenues = fields.Boolean(string="Recurring Revenues", implied_group='crm.group_use_recurring_revenues')
module_crm_iap_lead = fields.Boolean("Generate new leads based on their country, industries, size, etc.")
module_crm_iap_lead_website = fields.Boolean("Create Leads/Opportunities from your website's traffic")
module_crm_iap_lead_enrich = fields.Boolean("Enrich your leads automatically with company data based on their email address.")
module_mail_client_extension = fields.Boolean("See and manage users, companies, and leads from our mail client extensions.")
lead_enrich_auto = fields.Selection([
('manual', 'Enrich leads on demand only'),
('auto', 'Enrich all leads automatically'),
], string='Enrich lead automatically', default='manual', config_parameter='crm.iap.lead.enrich.setting')
lead_mining_in_pipeline = fields.Boolean("Create a lead mining request directly from the opportunity pipeline.", config_parameter='crm.lead_mining_in_pipeline')
predictive_lead_scoring_start_date = fields.Date(string='Lead Scoring Starting Date', compute="_compute_pls_start_date", inverse="_inverse_pls_start_date_str")
predictive_lead_scoring_start_date_str = fields.Char(string='Lead Scoring Starting Date in String', config_parameter='crm.pls_start_date')
predictive_lead_scoring_fields = fields.Many2many('crm.lead.scoring.frequency.field', string='Lead Scoring Frequency Fields', compute="_compute_pls_fields", inverse="_inverse_pls_fields_str")
predictive_lead_scoring_fields_str = fields.Char(string='Lead Scoring Frequency Fields in String', config_parameter='crm.pls_fields')
def _find_default_lead_alias_id(self):
alias = self.env.ref('crm.mail_alias_lead_info', False)
if not alias:
alias = self.env['mail.alias'].search([
('alias_model_id.model', '=', 'crm.lead'),
('alias_force_thread_id', '=', False),
('alias_parent_model_id.model', '=', 'crm.team'),
('alias_parent_thread_id', '=', False),
('alias_defaults', '=', '{}')
], limit=1)
return alias
@api.depends('predictive_lead_scoring_fields_str')
def _compute_pls_fields(self):
""" As config_parameters does not accept m2m field,
we get the fields back from the Char config field, to ease the configuration in config panel """
for setting in self:
if setting.predictive_lead_scoring_fields_str:
names = setting.predictive_lead_scoring_fields_str.split(',')
fields = self.env['ir.model.fields'].search([('name', 'in', names), ('model', '=', 'crm.lead')])
setting.predictive_lead_scoring_fields = self.env['crm.lead.scoring.frequency.field'].search([('field_id', 'in', fields.ids)])
else:
setting.predictive_lead_scoring_fields = None
def _inverse_pls_fields_str(self):
""" As config_parameters does not accept m2m field,
we store the fields with a comma separated string into a Char config field """
for setting in self:
if setting.predictive_lead_scoring_fields:
setting.predictive_lead_scoring_fields_str = ','.join(setting.predictive_lead_scoring_fields.mapped('field_id.name'))
else:
setting.predictive_lead_scoring_fields_str = ''
@api.depends('predictive_lead_scoring_start_date_str')
def _compute_pls_start_date(self):
""" As config_parameters does not accept Date field,
we get the date back from the Char config field, to ease the configuration in config panel """
for setting in self:
lead_scoring_start_date = setting.predictive_lead_scoring_start_date_str
# if config param is deleted / empty, set the date 8 days prior to current date
if not lead_scoring_start_date:
setting.predictive_lead_scoring_start_date = fields.Date.to_date(fields.Date.today() - timedelta(days=8))
else:
try:
setting.predictive_lead_scoring_start_date = fields.Date.to_date(lead_scoring_start_date)
except ValueError:
# the config parameter is malformed, so set the date 8 days prior to current date
setting.predictive_lead_scoring_start_date = fields.Date.to_date(fields.Date.today() - timedelta(days=8))
def _inverse_pls_start_date_str(self):
""" As config_parameters does not accept Date field,
we store the date formated string into a Char config field """
for setting in self:
if setting.predictive_lead_scoring_start_date:
setting.predictive_lead_scoring_start_date_str = fields.Date.to_string(setting.predictive_lead_scoring_start_date)
@api.depends('group_use_lead')
def _compute_generate_lead_from_alias(self):
""" Reset alias / leads configuration if leads are not used """
for setting in self.filtered(lambda r: not r.group_use_lead):
setting.generate_lead_from_alias = False
@api.depends('generate_lead_from_alias')
def _compute_crm_alias_prefix(self):
for setting in self:
setting.crm_alias_prefix = (setting.crm_alias_prefix or 'contact') if setting.generate_lead_from_alias else False
@api.model
def get_values(self):
res = super(ResConfigSettings, self).get_values()
alias = self._find_default_lead_alias_id()
res.update(
crm_alias_prefix=alias.alias_name if alias else False,
)
return res
def set_values(self):
super(ResConfigSettings, self).set_values()
alias = self._find_default_lead_alias_id()
if alias:
alias.write({'alias_name': self.crm_alias_prefix})
else:
self.env['mail.alias'].create({
'alias_name': self.crm_alias_prefix,
'alias_model_id': self.env['ir.model']._get('crm.lead').id,
'alias_parent_model_id': self.env['ir.model']._get('crm.team').id,
})
for team in self.env['crm.team'].search([]):
team.alias_id.write(team._alias_get_creation_values())
# ACTIONS
def action_reset_lead_probabilities(self):
if self.env.user._is_admin():
self.env['crm.lead'].sudo()._cron_update_automated_probabilities()
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