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255 lines
13 KiB
255 lines
13 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) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>).
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# Author: Ajith V (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 api, models
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class FleetVehicle(models.Model):
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"""
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The FleetVehicle class provides the data to the js when the dashboard is
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loaded.
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Methods:
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get_tiles_data(self):
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when the page is loaded get the data from different models and
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transfer to the js file.
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return a dictionary variable.
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get_graph_data(self, month, flag, model_ids):
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month and flag are Integer variables and model_ids is object.
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In this methode getting data to the corresponding month from the
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model_ids and return
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it to the get_tiles_data methode. return a list variable.
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"""
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_inherit = 'fleet.vehicle'
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@api.model
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def get_tiles_data(self):
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"""
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Summary:
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when the page is loaded get the data from different models and
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transfer to the js file.
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return a dictionary variable.
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return:
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type:It is a dictionary variable. This dictionary contain data that
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affecting the dashboard view.
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"""
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# Checking login user is manager or not.
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if self.env.user.user_has_groups('fleet.fleet_group_manager'):
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flag = 1
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fleet_vehicle_odometer_ids = self.env[
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'fleet.vehicle.odometer'].search([])
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fleet_vehicle_log_services_ids = self.env[
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'fleet.vehicle.log.services'].search([])
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service_type_list = [['Service Type', 'Total Repair']]
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# Getting service type and it's total services.
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for fleet_service_type_id in self.env['fleet.service.type'].search(
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[]):
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service_types_list = [fleet_service_type_id.name,
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self.env['fleet.vehicle.log.services']
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.search_count([('service_type_id', '=',
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fleet_service_type_id.id)])]
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if service_types_list not in service_type_list:
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service_type_list.append(service_types_list)
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fleet_vehicle_log_contract_ids = self.env[
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'fleet.vehicle.log.contract'].search([])
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filtered_fleet_vehicle_log_contract_ids = \
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fleet_vehicle_log_contract_ids.filtered(
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lambda fleet_vehicle_log_contract_id:
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fleet_vehicle_log_contract_id.state not in [
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'expired',
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'closed'])
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fleet_model_list = [fleet_vehicle_id.model_id.id for
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fleet_vehicle_id in self.env
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['fleet.vehicle'].search([])]
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fleet_model_list = [fleet_model for n, fleet_model in
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enumerate(fleet_model_list) if
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fleet_model not in fleet_model_list[:n]]
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fleet_manufacture_list = [fleet_vehicle_id.model_id.brand_id.id for
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fleet_vehicle_id in
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self.env['fleet.vehicle'].search([])]
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fleet_manufacture_list = [fleet_manufacture for n, fleet_manufacture
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in enumerate(fleet_manufacture_list) if
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fleet_manufacture not in
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fleet_manufacture_list[:n]]
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return {
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'total_odometer': sum(
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fleet_vehicle_odometer_ids.mapped('value')),
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'service_cost': sum(
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fleet_vehicle_log_services_ids.mapped('amount')),
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'recurring_cost': sum(
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filtered_fleet_vehicle_log_contract_ids.mapped(
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'cost_generated')),
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'all_vehicles': self.env['fleet.vehicle'].search_count([]),
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'service_type': service_type_list,
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'service_cost_list': self.get_graph_data(6, 1, self.env[
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'fleet.vehicle.log.services'].search([])),
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'odometer_value_list': self.get_graph_data(13, 0,
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fleet_vehicle_odometer_ids),
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'fleet_state': [{'id': fleet_vehicle_state_id.id,
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'state': fleet_vehicle_state_id.name,
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'number': self.env[
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'fleet.vehicle'].search_count(
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[('state_id', '=',
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fleet_vehicle_state_id.id)])}
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for fleet_vehicle_state_id in
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self.env['fleet.vehicle.state'].search(
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[])],
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'admin_odometer_list': [fleet_vehicle_odometer_id.id
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for fleet_vehicle_odometer_id in
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fleet_vehicle_odometer_ids],
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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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'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 if
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fleet_vehicle_log_contract_id.state not in [
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'expired',
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'closed']],
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'fleet_vehicle_list': [fleet_vehicle_id.id for fleet_vehicle_id
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in
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self.env['fleet.vehicle'].search([])],
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'fleet_model_list': fleet_model_list,
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'fleet_manufacture_list': fleet_manufacture_list,
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'flag': flag,
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}
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else:
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flag = 0
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fleet_vehicle_odometer_ids = self.env[
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'fleet.vehicle.odometer'].search(
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[('vehicle_id.manager_id.id', '=', self.env.uid)])
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# Getting total odometer value.
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fleet_vehicle_log_services_ids = self.env[
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'fleet.vehicle.log.services'].search(
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[('vehicle_id.manager_id.id', '=', self.env.uid)])
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# Getting total service cost.
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service_type_list = [['Service Type', 'Total Repair']]
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# Getting service type and it's total services.
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for fleet_service_type_id in self.env['fleet.service.type'].search(
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[]):
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service_types_list = [fleet_service_type_id.name,
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self.env['fleet.vehicle.log.services'].
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search_count(
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[('service_type_id', '=',
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fleet_service_type_id.id),
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('vehicle_id.manager_id.id', '=',
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self.env.uid)])]
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if service_types_list not in service_type_list:
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service_type_list.append(service_types_list)
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fleet_vehicle_log_contract_ids = self.env[
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'fleet.vehicle.log.contract'].search([])
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filtered_fleet_vehicle_log_contract_ids = \
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fleet_vehicle_log_contract_ids.filtered(
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lambda fleet_vehicle_log_contract_id:
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fleet_vehicle_log_contract_id.state not in [
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'expired',
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'closed'])
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fleet_vehicle_ids = self.env['fleet.vehicle'].search([])
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# Getting vehicle status and total number vehicles for the
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# Corresponding state.
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model_list = [fleet_vehicle_id.model_id.id for fleet_vehicle_id in
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fleet_vehicle_ids]
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model_list = [model for n, model in enumerate(model_list) if
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model not in model_list[:n]]
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manufacture_list = [fleet_vehicle_id.model_id.brand_id.id for
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fleet_vehicle_id in fleet_vehicle_ids]
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manufacture_list = [manufacture for n, manufacture in
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enumerate(manufacture_list) if
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manufacture not in manufacture_list[:n]]
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return {
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'total_odometer': sum(
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fleet_vehicle_odometer_ids.mapped('value')),
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'service_cost': sum(
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fleet_vehicle_log_services_ids.mapped('amount')),
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'recurring_cost': sum(
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filtered_fleet_vehicle_log_contract_ids.mapped(
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'cost_generated')),
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'all_vehicles': self.env['fleet.vehicle'].search_count([]),
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'service_type': service_type_list,
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'service_cost_list': self.get_graph_data(6, 1, self.env[
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'fleet.vehicle.log.services'].search(
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[('vehicle_id.manager_id.id', '=', self.env.uid)])),
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'odometer_value_list': self.get_graph_data(13, 0,
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fleet_vehicle_odometer_ids),
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'fleet_state': [{'state': fleet_vehicle_state_id.name,
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'number': self.env[
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'fleet.vehicle'].search_count(
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[('state_id', '=',
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fleet_vehicle_state_id.id)])}
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for fleet_vehicle_state_id in
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self.env['fleet.vehicle.state'].search(
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[])],
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'flag': flag,
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'model_list': model_list,
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'manufacture_list': manufacture_list
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}
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def get_graph_data(self, month, flag, model_ids):
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"""
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summary:
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In this meth ode getting data to the corresponding month from the
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model_ids and return
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it to the get_tiles_data methode.
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Args:
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month(int): This parameter used to calculate the month range.
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flag(int): This parameter used to differentiate the need and
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performing different functions.
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model_ids(obj): This parameter used to identify the model to
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performs the function.
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Returns:
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type:list of lists , it contains the data for the corresponding
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month.
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"""
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data_list = [['Month', '']]
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# Getting last "month" range
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for i in range(0, month):
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previous_month = date.today().replace(day=5) - timedelta(
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days=i * 30)
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first_day_of_previous_month = previous_month.replace(day=1)
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last_day_of_previous_month = previous_month.replace(
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day=1) + timedelta(days=32)
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last_day_of_previous_month = last_day_of_previous_month.replace(
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day=1) - timedelta(days=1)
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monthly_service_cost = 0
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if flag == 1:
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# Getting data to the corresponding month and append to
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# The data_list
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for fleet_vehicle_log_services_id in model_ids:
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if first_day_of_previous_month < \
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fleet_vehicle_log_services_id.date < \
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last_day_of_previous_month:
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monthly_service_cost += \
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fleet_vehicle_log_services_id.amount
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data_list.append([
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previous_month.strftime("%b"), monthly_service_cost
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])
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else:
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# Getting data to the corresponding month and append to the
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# data_list
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monthly_odometer_value = 0
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for fleet_vehicle_odometer_id in model_ids:
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if first_day_of_previous_month < \
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fleet_vehicle_odometer_id.date < \
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last_day_of_previous_month:
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monthly_odometer_value += \
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fleet_vehicle_odometer_id.value
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data_list.append(
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[previous_month.strftime("%b-%y"), monthly_odometer_value])
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return data_list
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