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