Fleet management moved to HR

erpnext/hr/report/vehicle_expenses/vehicle_expenses.js

@@ -0,0 +1,41 @@
+// Copyright (c) 2016, Frappe Technologies Pvt. Ltd. and contributors
+// For license information, please see license.txt
+frappe.require("assets/erpnext/js/financial_statements.js", function() {
+	frappe.query_reports["Vehicle Expenses"] = {
+		"filters": [
+			{
+				"fieldname": "fiscal_year",
+				"label": __("Fiscal Year"),
+				"fieldtype": "Link",
+				"options": "Fiscal Year",
+				"default": frappe.defaults.get_user_default("fiscal_year"),
+				"reqd": 1,
+				"on_change": function(query_report) {
+					var fiscal_year = query_report.get_values().fiscal_year;
+					if (!fiscal_year) {
+						return;
+					}
+					frappe.model.with_doc("Fiscal Year", fiscal_year, function(r) {
+						var fy = frappe.model.get_doc("Fiscal Year", fiscal_year);
+						frappe.query_report_filters_by_name.from_date.set_input(fy.year_start_date);
+						frappe.query_report_filters_by_name.to_date.set_input(fy.year_end_date);
+						query_report.trigger_refresh();
+					});
+				}
+			},
+			{
+				"fieldname": "from_date",
+				"label": __("From Date"),
+				"fieldtype": "Date",
+				"default": frappe.defaults.get_user_default("year_start_date"),
+			},
+			{
+				"fieldname": "to_date",
+				"label": __("To Date"),
+				"fieldtype": "Date",
+				"default": frappe.defaults.get_user_default("year_end_date"),
+			}
+		]
+	}
+});
+

erpnext/hr/report/vehicle_expenses/vehicle_expenses.json

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+{
+ "add_total_row": 0, 
+ "apply_user_permissions": 1, 
+ "creation": "2016-09-09 03:33:40.605734", 
+ "disabled": 0, 
+ "docstatus": 0, 
+ "doctype": "Report", 
+ "idx": 0, 
+ "is_standard": "Yes", 
+ "modified": "2017-01-09 11:18:31.959124", 
+ "modified_by": "Administrator", 
+ "module": "HR", 
+ "name": "Vehicle Expenses", 
+ "owner": "Administrator", 
+ "ref_doctype": "Vehicle", 
+ "report_name": "Vehicle Expenses", 
+ "report_type": "Script Report"
+}

erpnext/hr/report/vehicle_expenses/vehicle_expenses.py

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+# Copyright (c) 2013, Frappe Technologies Pvt. Ltd. and contributors
+# For license information, please see license.txt
+
+from __future__ import unicode_literals
+import frappe
+from frappe import _
+from frappe.utils import flt,cstr
+from erpnext.accounts.report.financial_statements import get_period_list
+
+def execute(filters=None):
+	period_list = get_period_list(2016, 2016,"Monthly")
+	for period in period_list:
+		pass
+	columns, data = [], []
+	columns=get_columns()
+	data=get_log_data(filters)
+	chart=get_chart_data(data,period_list)
+	return columns, data, None, chart
+	
+def get_columns():
+	columns = [_("License") + ":Link/Vehicle:100", _("Make") + ":data:50",
+				_("Model") + ":data:50", _("Location") + ":data:100",
+				_("Log") + ":Link/Vehicle Log:100", _("Odometer") + ":Int:80",
+				_("Date") + ":Date:100", _("Fuel Qty") + ":Float:80",
+				_("Fuel Price") + ":Float:100",_("Service Expense") + ":Float:100"
+	]
+	return columns
+
+def get_log_data(filters):
+	conditions=""
+	if filters.from_date:
+		conditions += " and date >= %(from_date)s"
+	if filters.to_date:
+		conditions += " and date <= %(to_date)s"
+	data = frappe.db.sql("""select vhcl.license_plate as "License",vhcl.make as "Make",vhcl.model as "Model",
+							vhcl.location as "Location",log.name as "Log",log.odometer as "Odometer",log.date as "Date",
+							log.fuel_qty as "Fuel Qty",log.price as "Fuel Price"
+							from `tabVehicle` vhcl,`tabVehicle Log` log
+							where vhcl.license_plate = log.license_plate and log.docstatus = 1 %s
+							order by date""" % (conditions,),filters, as_dict=1)
+	dl=list(data)
+	for row in dl:
+		row["Service Expense"]= get_service_expense(row["Log"])
+	return dl
+	
+def get_service_expense(logname):
+	expense_amount = frappe.db.sql("""select sum(expense_amount) 
+										from `tabVehicle Log` log,`tabVehicle Service` ser 
+										where ser.parent=log.name and log.name=%s""",logname)
+	return flt(expense_amount[0][0]) if expense_amount else 0
+	
+def get_chart_data(data,period_list):
+	fuel_exp_data,service_exp_data,fueldata,servicedata = [],[],[],[]
+	service_exp_data = []
+	fueldata = []
+	for period in period_list:
+		total_fuel_exp=0
+		total_ser_exp=0
+		for row in data:
+			if row["Date"] <= period.to_date and row["Date"] >= period.from_date:
+				total_fuel_exp+=flt(row["Fuel Price"])
+				total_ser_exp+=flt(row["Service Expense"])
+		fueldata.append([period.key,total_fuel_exp])
+		servicedata.append([period.key,total_ser_exp])
+
+	x_intervals = ['x'] + [period.key for period in period_list]
+	fuel_exp_data= [row[1] for row in fueldata]
+	service_exp_data= [row[1] for row in servicedata]
+	columns = [x_intervals]
+	if fuel_exp_data:
+		columns.append(["Fuel Expenses"]+ fuel_exp_data)
+	if service_exp_data:
+		columns.append(["Service Expenses"]+ service_exp_data)
+	chart = {
+		"data": {
+			'x': 'x',
+			'columns': columns
+		}
+	}
+	chart["chart_type"] = "line"
+	return chart