This commit cleans up the utm.campaign form view:
* Don't display mailing related things if no mailings on the campaign or
if the campaigns were not activated in mass_mailing settings;
* Stat button for the mass mailings was wrong, it was displaying the number
of mails instead of the number of mailings;
* Remove unused global click ratio field all other fields/methods related
to its computation;
* Remove ab testing cta on campaign form;
* Add groups on mailing related fields to avoid access errors;
LINKS
Task ID 2074813 (FP request UTM refactor)
PR: #37185
103 lines
5.4 KiB
Python
103 lines
5.4 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 odoo import api, fields, models
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class UtmCampaign(models.Model):
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_inherit = 'utm.campaign'
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mailing_mail_ids = fields.One2many(
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'mailing.mailing', 'campaign_id',
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domain=[('mailing_type', '=', 'mail')],
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string='Mass Mailings')
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mailing_mail_count = fields.Integer('Number of Mass Mailing', compute="_compute_mailing_mail_count")
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mailing_clicks_ratio = fields.Integer(compute="_compute_mailing_clicks_ratio", string="Number of clicks")
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mailing_items = fields.Integer(compute="_compute_mailing_items", string='Mailings')
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mailing_clicked = fields.Integer(compute="_compute_mailing_items", string='Mailings Clicked')
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# stat fields
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total = fields.Integer(compute="_compute_statistics")
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scheduled = fields.Integer(compute="_compute_statistics")
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failed = fields.Integer(compute="_compute_statistics")
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ignored = fields.Integer(compute="_compute_statistics")
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sent = fields.Integer(compute="_compute_statistics", string="Sent Emails")
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delivered = fields.Integer(compute="_compute_statistics")
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opened = fields.Integer(compute="_compute_statistics")
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replied = fields.Integer(compute="_compute_statistics")
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bounced = fields.Integer(compute="_compute_statistics")
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received_ratio = fields.Integer(compute="_compute_statistics", string='Received Ratio')
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opened_ratio = fields.Integer(compute="_compute_statistics", string='Opened Ratio')
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replied_ratio = fields.Integer(compute="_compute_statistics", string='Replied Ratio')
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bounced_ratio = fields.Integer(compute="_compute_statistics", string='Bounced Ratio')
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@api.depends('mailing_mail_ids')
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def _compute_mailing_mail_count(self):
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for campaign in self:
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campaign.mailing_mail_count = len(campaign.mailing_mail_ids)
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def _compute_mailing_items(self):
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query = """SELECT trace.campaign_id AS campaign_id, COUNT(DISTINCT(trace.id)) AS items_total, COUNT(DISTINCT(click.mailing_trace_id)) AS clicked_total
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FROM mailing_trace AS trace
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LEFT OUTER JOIN link_tracker_click as click ON click.mailing_trace_id = trace.id
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WHERE trace.campaign_id IN %s
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GROUP BY trace.campaign_id """
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params = [tuple(self.ids)]
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self.env.cr.execute(query, params)
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clicked_data = self.env.cr.dictfetchall()
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mapped_data = {datum['campaign_id']: {'clicked_total': datum['clicked_total'], 'items_total': datum['items_total']} for datum in clicked_data}
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for campaign in self:
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campaign_items_values = mapped_data.get(campaign.id, {})
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campaign.mailing_items = campaign_items_values.get('items_total', 0)
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campaign.mailing_clicked = campaign_items_values.get('clicked_total', 0)
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@api.depends('mailing_items', 'mailing_clicked')
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def _compute_mailing_clicks_ratio(self):
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for campaign in self:
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campaign.mailing_clicks_ratio = campaign.mailing_clicked / campaign.mailing_items * 100 if campaign.mailing_items > 0 else 0
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def _compute_statistics(self):
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""" Compute statistics of the mass mailing campaign """
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self.env.cr.execute("""
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SELECT
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c.id as campaign_id,
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COUNT(s.id) AS total,
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COUNT(CASE WHEN s.sent is not null THEN 1 ELSE null END) AS sent,
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COUNT(CASE WHEN s.scheduled is not null AND s.sent is null AND s.exception is null AND s.ignored is null THEN 1 ELSE null END) AS scheduled,
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COUNT(CASE WHEN s.scheduled is not null AND s.sent is null AND s.exception is not null THEN 1 ELSE null END) AS failed,
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COUNT(CASE WHEN s.scheduled is not null AND s.sent is null AND s.exception is null AND s.ignored is not null THEN 1 ELSE null END) AS ignored,
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COUNT(CASE WHEN s.id is not null AND s.bounced is null THEN 1 ELSE null END) AS delivered,
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COUNT(CASE WHEN s.opened is not null THEN 1 ELSE null END) AS opened,
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COUNT(CASE WHEN s.replied is not null THEN 1 ELSE null END) AS replied ,
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COUNT(CASE WHEN s.bounced is not null THEN 1 ELSE null END) AS bounced
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FROM
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mailing_trace s
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RIGHT JOIN
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utm_campaign c
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ON (c.id = s.campaign_id)
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WHERE
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c.id IN %s
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GROUP BY
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c.id
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""", (tuple(self.ids), ))
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for row in self.env.cr.dictfetchall():
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total = (row['total'] - row['ignored']) or 1
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row['delivered'] = row['sent'] - row['bounced']
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row['received_ratio'] = 100.0 * row['delivered'] / total
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row['opened_ratio'] = 100.0 * row['opened'] / total
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row['replied_ratio'] = 100.0 * row['replied'] / total
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row['bounced_ratio'] = 100.0 * row['bounced'] / total
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self.browse(row.pop('campaign_id')).update(row)
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def _get_mailing_recipients(self, model=None):
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"""Return the recipients of a mailing campaign. This is based on the statistics
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build for each mailing. """
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res = dict.fromkeys(self.ids, {})
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for campaign in self:
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domain = [('campaign_id', '=', campaign.id)]
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if model:
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domain += [('model', '=', model)]
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res[campaign.id] = set(self.env['mailing.trace'].search(domain).mapped('res_id'))
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return res
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