# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors # For license information, please see license.txt import frappe from frappe import _ from frappe.utils import flt from erpnext.accounts.report.financial_statements import get_period_list def execute(filters=None): filters = frappe._dict(filters or {}) columns = get_columns() data = get_vehicle_log_data(filters) chart = get_chart_data(data, filters) return columns, data, None, chart def get_columns(): return [ { 'fieldname': 'vehicle', 'fieldtype': 'Link', 'label': _('Vehicle'), 'options': 'Vehicle', 'width': 150 }, { 'fieldname': 'make', 'fieldtype': 'Data', 'label': _('Make'), 'width': 100 }, { 'fieldname': 'model', 'fieldtype': 'Data', 'label': _('Model'), 'width': 80 }, { 'fieldname': 'location', 'fieldtype': 'Data', 'label': _('Location'), 'width': 100 }, { 'fieldname': 'log_name', 'fieldtype': 'Link', 'label': _('Vehicle Log'), 'options': 'Vehicle Log', 'width': 100 }, { 'fieldname': 'odometer', 'fieldtype': 'Int', 'label': _('Odometer Value'), 'width': 120 }, { 'fieldname': 'date', 'fieldtype': 'Date', 'label': _('Date'), 'width': 100 }, { 'fieldname': 'fuel_qty', 'fieldtype': 'Float', 'label': _('Fuel Qty'), 'width': 80 }, { 'fieldname': 'fuel_price', 'fieldtype': 'Float', 'label': _('Fuel Price'), 'width': 100 }, { 'fieldname': 'fuel_expense', 'fieldtype': 'Currency', 'label': _('Fuel Expense'), 'width': 150 }, { 'fieldname': 'service_expense', 'fieldtype': 'Currency', 'label': _('Service Expense'), 'width': 150 }, { 'fieldname': 'employee', 'fieldtype': 'Link', 'label': _('Employee'), 'options': 'Employee', 'width': 150 } ] def get_vehicle_log_data(filters): start_date, end_date = get_period_dates(filters) conditions, values = get_conditions(filters) data = frappe.db.sql(""" SELECT vhcl.license_plate as vehicle, vhcl.make, vhcl.model, vhcl.location, log.name as log_name, log.odometer, log.date, log.employee, log.fuel_qty, log.price as fuel_price, log.fuel_qty * log.price as fuel_expense FROM `tabVehicle` vhcl,`tabVehicle Log` log WHERE vhcl.license_plate = log.license_plate and log.docstatus = 1 and date between %(start_date)s and %(end_date)s {0} ORDER BY date""".format(conditions), values, as_dict=1) for row in data: row['service_expense'] = get_service_expense(row.log_name) return data def get_conditions(filters): conditions = '' start_date, end_date = get_period_dates(filters) values = { 'start_date': start_date, 'end_date': end_date } if filters.employee: conditions += ' and log.employee = %(employee)s' values['employee'] = filters.employee if filters.vehicle: conditions += ' and vhcl.license_plate = %(vehicle)s' values['vehicle'] = filters.vehicle return conditions, values def get_period_dates(filters): if filters.filter_based_on == 'Fiscal Year' and filters.fiscal_year: fy = frappe.db.get_value('Fiscal Year', filters.fiscal_year, ['year_start_date', 'year_end_date'], as_dict=True) return fy.year_start_date, fy.year_end_date else: return filters.from_date, filters.to_date def get_service_expense(logname): expense_amount = frappe.db.sql(""" SELECT sum(expense_amount) FROM `tabVehicle Log` log, `tabVehicle Service` service WHERE service.parent=log.name and log.name=%s """, logname) return flt(expense_amount[0][0]) if expense_amount else 0.0 def get_chart_data(data, filters): period_list = get_period_list(filters.fiscal_year, filters.fiscal_year, filters.from_date, filters.to_date, filters.filter_based_on, 'Monthly') fuel_data, service_data = [], [] for period in period_list: total_fuel_exp = 0 total_service_exp = 0 for row in data: if row.date <= period.to_date and row.date >= period.from_date: total_fuel_exp += flt(row.fuel_expense) total_service_exp += flt(row.service_expense) fuel_data.append([period.key, total_fuel_exp]) service_data.append([period.key, total_service_exp]) labels = [period.label for period in period_list] fuel_exp_data= [row[1] for row in fuel_data] service_exp_data= [row[1] for row in service_data] datasets = [] if fuel_exp_data: datasets.append({ 'name': _('Fuel Expenses'), 'values': fuel_exp_data }) if service_exp_data: datasets.append({ 'name': _('Service Expenses'), 'values': service_exp_data }) chart = { 'data': { 'labels': labels, 'datasets': datasets }, 'type': 'line', 'fieldtype': 'Currency' } return chart