axj-odoo
a924cbf983
Purpose ======= Utm links are really useful for website owners but this feature is hidden in Odoo apps. There is nothing pointing to that. Specification ============= - Add new module to generate utm pie chart in website_sale dashboard to track website utm link - Add new option in website settings to install "website_links" Title: Link Tracker Subtitle: Track clicks on UTM links Tooltip: Analyze the efficiency of your marketing campaigns by using trackable UTM trackers (campaigns, medium, sources). Create trackers and follow clicks from the Promote menu of your website. Those trackers can be used in Google Analytics or in Odoo reports where you can see the opportunities and sales revenues generated thanks to your links. - Add utm chart to dashboard, using nvd3 such pie chart should be easy to implement - If no data to display > Display a default picture with "There isn't any UTM tag detected in orders". - Set a real icon to app "utm" since it shows up in homepage debug mode
51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
# -*- coding: utf-8 -*-
|
|
# Part of Odoo. See LICENSE file for full copyright and licensing details.
|
|
|
|
from odoo import http
|
|
from odoo.addons.website_sale.controllers.backend import WebsiteSaleBackend
|
|
from odoo.http import request
|
|
|
|
|
|
class WebsiteSaleLinkTrackerBackend(WebsiteSaleBackend):
|
|
|
|
@http.route()
|
|
def fetch_dashboard_data(self, date_from, date_to):
|
|
results = super(WebsiteSaleLinkTrackerBackend, self).fetch_dashboard_data(date_from, date_to)
|
|
results['dashboards']['sales']['utm_graph'] = self.fetch_utm_data(date_from, date_to)
|
|
return results
|
|
|
|
def fetch_utm_data(self, date_from, date_to):
|
|
sale_utm_domain = [
|
|
('team_id.team_type', '=', 'website'),
|
|
('state', 'in', ['sale', 'done']),
|
|
('confirmation_date', '>=', date_from),
|
|
('confirmation_date', '<=', date_to)
|
|
]
|
|
|
|
orders_data_groupby_campaign_id = request.env['sale.order'].read_group(
|
|
domain=sale_utm_domain + [('campaign_id', '!=', False)],
|
|
fields=['amount_total', 'id', 'campaign_id'],
|
|
groupby='campaign_id')
|
|
|
|
orders_data_groupby_medium_id = request.env['sale.order'].read_group(
|
|
domain=sale_utm_domain + [('medium_id', '!=', False)],
|
|
fields=['amount_total', 'id', 'medium_id'],
|
|
groupby='medium_id')
|
|
|
|
orders_data_groupby_source_id = request.env['sale.order'].read_group(
|
|
domain=sale_utm_domain + [('source_id', '!=', False)],
|
|
fields=['amount_total', 'id', 'source_id'],
|
|
groupby='source_id')
|
|
|
|
return {
|
|
'campaign_id': self.compute_utm_graph_data('campaign_id', orders_data_groupby_campaign_id),
|
|
'medium_id': self.compute_utm_graph_data('medium_id', orders_data_groupby_medium_id),
|
|
'source_id': self.compute_utm_graph_data('source_id', orders_data_groupby_source_id),
|
|
}
|
|
|
|
def compute_utm_graph_data(self, utm_type, utm_graph_data):
|
|
return [{
|
|
'utm_type': data[utm_type][1],
|
|
'amount_total': data['amount_total']
|
|
} for data in utm_graph_data]
|