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148 lines
7.3 KiB
148 lines
7.3 KiB
# -*- coding: utf-8 -*-
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################################################################################
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#
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# Cybrosys Technologies Pvt. Ltd.
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#
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# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>).
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# Author: Yadhukrishnan K (odoo@cybrosys.com)
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#
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# You can modify it under the terms of the GNU AFFERO
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# GENERAL PUBLIC LICENSE (AGPL v3), Version 3.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU AFFERO GENERAL PUBLIC LICENSE (AGPL v3) for more details.
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#
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# You should have received a copy of the GNU AFFERO GENERAL PUBLIC LICENSE
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# (AGPL v3) along with this program.
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# If not, see <http://www.gnu.org/licenses/>.
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################################################################################
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from datetime import date, timedelta
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from odoo import http
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from odoo.http import request
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class FleetFilter(http.Controller):
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"""
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The FleetFilter class provides the filter option to the js.
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When applying the filter return the corresponding data.
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Methods:
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fleet_filter(self):
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when the page is loaded adding filter options to the selection
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field.
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return a list variable.
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fleet_filter_data(self,**kw):
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after applying the filter receiving the values and return the
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filtered data.
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"""
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@http.route('/fleet/filter', auth='public', type='json')
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def fleet_filter(self):
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"""
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Summary:
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transferring data to the selection field that works as a filter
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Returns:
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type:list of lists , it contains the data for the corresponding
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filter.
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"""
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fleet_vehicle_ids = request.env['fleet.vehicle'].search([])
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driver_list = request.env['res.partner'].search_read([], ['name'])
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# Getting vehicles model data
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vehicle_list = [{'id': fleet_vehicle_id.model_id.id,
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'name': fleet_vehicle_id.model_id.name}
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for fleet_vehicle_id in fleet_vehicle_ids]
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vehicle_list = [vehicle for n, vehicle in
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enumerate(vehicle_list) if
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vehicle not in vehicle_list[:n]]
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# Getting vehicles brand data
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manufacturers_list = [{'id': fleet_vehicle_id.model_id.brand_id.id,
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'name': fleet_vehicle_id.model_id.brand_id.name}
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for fleet_vehicle_id in fleet_vehicle_ids]
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manufacturers_list = [manufacturer for n, manufacturer in
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enumerate(manufacturers_list) if
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manufacturer not in manufacturers_list[:n]]
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filter_list = [driver_list, vehicle_list, manufacturers_list]
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return filter_list
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@http.route('/fleet_advanced_dashboard/filter_data', auth='public', type='json')
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def fleet_filter_data(self, **kw):
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"""
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Summary:
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transferring data to the selection field that works as a filter
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Args:
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kw(dict):This parameter contain value of selection field
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Returns:
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type:list of lists , it contains the data for the corresponding
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filter and transferring data to ui after filtration.
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"""
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data = kw.get('data')
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driver = [partner.id for partner in
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request.env['res.partner'].search([])] \
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if data['driver'] == 'null' else [int(data['driver'])]
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vehicle = [fleet_vehicle_id.id for fleet_vehicle_id in
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request.env['fleet.vehicle.model'].search([])] \
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if data['vehicle'] == 'null' else [int(data['vehicle'])]
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fleet_vehicle_list = [request.env['fleet.vehicle'].search([
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("model_id", '=', rec)]).id for rec in vehicle]
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manufacturer = [fleet_vehicle_id.model_id.brand_id.id for
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fleet_vehicle_id in
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request.env['fleet.vehicle'].search([])] \
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if data['manufacturer'] == 'null' else [int(data['manufacturer'])]
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if data['date'] == 'null':
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fleet_vehicle_odometer_ids = request.env[
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'fleet.vehicle.odometer'].search(
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[("vehicle_id.id", 'in', vehicle),
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("vehicle_id.brand_id.id", "in", manufacturer),
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("driver_id.id", "in", driver)])
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fleet_vehicle_log_contract_ids = request.env[
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'fleet.vehicle.log.contract'].search(
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[("vehicle_id.model_id.id", 'in', vehicle),
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("vehicle_id.model_id.brand_id.id", 'in', manufacturer),
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("state", "not in", ['expired', 'closed']),
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("purchaser_id.id", "in", driver)])
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fleet_vehicle_log_services_ids = request.env[
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'fleet.vehicle.log.services'].search(
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[("vehicle_id.model_id.id", 'in', vehicle),
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("vehicle_id.model_id.brand_id.id", 'in', manufacturer),
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("purchaser_id.id", "in", driver)])
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else:
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range_date = date.today() - timedelta(days=int(data['date']))
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fleet_vehicle_odometer_ids = request.env[
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'fleet.vehicle.odometer'].search(
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[("vehicle_id.id", 'in', vehicle),
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("vehicle_id.brand_id.id", "in", manufacturer),
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("driver_id.id", "in", driver),
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("date", ">", range_date)])
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fleet_vehicle_log_contract_ids = request.env[
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'fleet.vehicle.log.contract'].search(
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[("vehicle_id.model_id.id", 'in', vehicle),
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("vehicle_id.model_id.brand_id.id", 'in', manufacturer),
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("state", "not in", ['expired', 'closed']),
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("purchaser_id.id", "in", driver),
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("expiration_date", ">", range_date)])
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fleet_vehicle_log_services_ids = request.env[
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'fleet.vehicle.log.services'].search(
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[("vehicle_id.model_id.id", 'in', vehicle),
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("vehicle_id.model_id.brand_id.id", 'in', manufacturer),
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("purchaser_id.id", "in", driver), ("date", ">", range_date)])
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# Getting total odometer value
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total_odometer = sum(fleet_vehicle_odometer_ids.mapped('value'))
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admin_odometer_list = [fleet_vehicle_odometer_id.id for
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fleet_vehicle_odometer_id in
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fleet_vehicle_odometer_ids]
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# Getting total service cost
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service_cost = sum(fleet_vehicle_log_services_ids.mapped('amount'))
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admin_fleet_cost_list = [fleet_vehicle_log_services_id.id for
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fleet_vehicle_log_services_id in
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fleet_vehicle_log_services_ids]
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# Getting total recurring cost
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recurring_cost = sum(
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fleet_vehicle_log_contract_ids.mapped('cost_generated'))
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admin_recurring_list = [fleet_vehicle_log_contract_id.id for
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fleet_vehicle_log_contract_id in
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fleet_vehicle_log_contract_ids]
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return [total_odometer, service_cost, recurring_cost,
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admin_odometer_list, admin_fleet_cost_list,
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admin_recurring_list, fleet_vehicle_list, vehicle,
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manufacturer, len(fleet_vehicle_list)]
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