<reponame>Mindhome/field_service<filename>mindhome_alpha/erpnext/accounts/report/asset_depreciations_and_balances/asset_depreciations_and_balances.py
# 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 formatdate, flt, add_days


def execute(filters=None):
	filters.day_before_from_date = add_days(filters.from_date, -1)
	columns, data = get_columns(filters), get_data(filters)
	return columns, data


def get_data(filters):
	data = []

	asset_categories = get_asset_categories(filters)
	assets = get_assets(filters)

	for asset_category in asset_categories:
		row = frappe._dict()
		# row.asset_category = asset_category
		row.update(asset_category)

		row.cost_as_on_to_date = (flt(row.cost_as_on_from_date) + flt(row.cost_of_new_purchase) -
				flt(row.cost_of_sold_asset) - flt(row.cost_of_scrapped_asset))

		row.update(next(asset for asset in assets if asset["asset_category"] == asset_category.get("asset_category", "")))
		row.accumulated_depreciation_as_on_to_date = (flt(row.accumulated_depreciation_as_on_from_date) +
				flt(row.depreciation_amount_during_the_period) - flt(row.depreciation_eliminated_during_the_period))

		row.net_asset_value_as_on_from_date = (flt(row.cost_as_on_from_date) -
				flt(row.accumulated_depreciation_as_on_from_date))

		row.net_asset_value_as_on_to_date = (flt(row.cost_as_on_to_date) -
				flt(row.accumulated_depreciation_as_on_to_date))

		data.append(row)

	return data


def get_asset_categories(filters):
	return frappe.db.sql("""
		SELECT asset_category,
			   ifnull(sum(case when purchase_date < %(from_date)s then
							   case when ifnull(disposal_date, 0) = 0 or disposal_date >= %(from_date)s then
									gross_purchase_amount
							   else
									0
							   end
						   else
								0
						   end), 0) as cost_as_on_from_date,
			   ifnull(sum(case when purchase_date >= %(from_date)s then
			   						gross_purchase_amount
			   				   else
			   				   		0
			   				   end), 0) as cost_of_new_purchase,
			   ifnull(sum(case when ifnull(disposal_date, 0) != 0
			   						and disposal_date >= %(from_date)s
			   						and disposal_date <= %(to_date)s then
							   case when status = "Sold" then
							   		gross_purchase_amount
							   else
							   		0
							   end
						   else
								0
						   end), 0) as cost_of_sold_asset,
			   ifnull(sum(case when ifnull(disposal_date, 0) != 0
			   						and disposal_date >= %(from_date)s
			   						and disposal_date <= %(to_date)s then
							   case when status = "Scrapped" then
							   		gross_purchase_amount
							   else
							   		0
							   end
						   else
								0
						   end), 0) as cost_of_scrapped_asset
		from `tabAsset`
		where docstatus=1 and company=%(company)s and purchase_date <= %(to_date)s
		group by asset_category
	""", {"to_date": filters.to_date, "from_date": filters.from_date, "company": filters.company}, as_dict=1)

def get_assets(filters):
	return frappe.db.sql("""
		SELECT results.asset_category,
			   sum(results.accumulated_depreciation_as_on_from_date) as accumulated_depreciation_as_on_from_date,
			   sum(results.depreciation_eliminated_during_the_period) as depreciation_eliminated_during_the_period,
			   sum(results.depreciation_amount_during_the_period) as depreciation_amount_during_the_period
		from (SELECT a.asset_category,
				   ifnull(sum(case when ds.schedule_date < %(from_date)s and (ifnull(a.disposal_date, 0) = 0 or a.disposal_date >= %(from_date)s) then
								   ds.depreciation_amount
							  else
								   0
							  end), 0) as accumulated_depreciation_as_on_from_date,
				   ifnull(sum(case when ifnull(a.disposal_date, 0) != 0 and a.disposal_date >= %(from_date)s
										and a.disposal_date <= %(to_date)s and ds.schedule_date <= a.disposal_date then
								   ds.depreciation_amount
							  else
								   0
							  end), 0) as depreciation_eliminated_during_the_period,
				   ifnull(sum(case when ds.schedule_date >= %(from_date)s and ds.schedule_date <= %(to_date)s
										and (ifnull(a.disposal_date, 0) = 0 or ds.schedule_date <= a.disposal_date) then
								   ds.depreciation_amount
							  else
								   0
							  end), 0) as depreciation_amount_during_the_period
			from `tabAsset` a, `tabDepreciation Schedule` ds
			where a.docstatus=1 and a.company=%(company)s and a.purchase_date <= %(to_date)s and a.name = ds.parent and ifnull(ds.journal_entry, '') != ''
			group by a.asset_category
			union
			SELECT a.asset_category,
				   ifnull(sum(case when ifnull(a.disposal_date, 0) != 0 and (a.disposal_date < %(from_date)s or a.disposal_date > %(to_date)s) then
									0
							   else
									a.opening_accumulated_depreciation
							   end), 0) as accumulated_depreciation_as_on_from_date,
				   ifnull(sum(case when a.disposal_date >= %(from_date)s and a.disposal_date <= %(to_date)s then
								   a.opening_accumulated_depreciation
							  else
								   0
							  end), 0) as depreciation_eliminated_during_the_period,
				   0 as depreciation_amount_during_the_period
			from `tabAsset` a
			where a.docstatus=1 and a.company=%(company)s and a.purchase_date <= %(to_date)s
			group by a.asset_category) as results
		group by results.asset_category
		""", {"to_date": filters.to_date, "from_date": filters.from_date, "company": filters.company}, as_dict=1)


def get_columns(filters):
	return [
		{
			"label": _("Asset Category"),
			"fieldname": "asset_category",
			"fieldtype": "Link",
			"options": "Asset Category",
			"width": 120
		},
		{
			"label": _("Cost as on") + " " + formatdate(filters.day_before_from_date),
			"fieldname": "cost_as_on_from_date",
			"fieldtype": "Currency",
			"width": 140
		},
		{
			"label": _("Cost of New Purchase"),
			"fieldname": "cost_of_new_purchase",
			"fieldtype": "Currency",
			"width": 140
		},
		{
			"label": _("Cost of Sold Asset"),
			"fieldname": "cost_of_sold_asset",
			"fieldtype": "Currency",
			"width": 140
		},
		{
			"label": _("Cost of Scrapped Asset"),
			"fieldname": "cost_of_scrapped_asset",
			"fieldtype": "Currency",
			"width": 140
		},
		{
			"label": _("Cost as on") + " " + formatdate(filters.to_date),
			"fieldname": "cost_as_on_to_date",
			"fieldtype": "Currency",
			"width": 140
		},
		{
			"label": _("Accumulated Depreciation as on") + " " + formatdate(filters.day_before_from_date),
			"fieldname": "accumulated_depreciation_as_on_from_date",
			"fieldtype": "Currency",
			"width": 270
		},
		{
			"label": _("Depreciation Amount during the period"),
			"fieldname": "depreciation_amount_during_the_period",
			"fieldtype": "Currency",
			"width": 240
		},
		{
			"label": _("Depreciation Eliminated due to disposal of assets"),
			"fieldname": "depreciation_eliminated_during_the_period",
			"fieldtype": "Currency",
			"width": 300
		},
		{
			"label": _("Accumulated Depreciation as on") + " " + formatdate(filters.to_date),
			"fieldname": "accumulated_depreciation_as_on_to_date",
			"fieldtype": "Currency",
			"width": 270
		},
		{
			"label": _("Net Asset value as on") + " " + formatdate(filters.day_before_from_date),
			"fieldname": "net_asset_value_as_on_from_date",
			"fieldtype": "Currency",
			"width": 200
		},
		{
			"label": _("Net Asset value as on") + " " + formatdate(filters.to_date),
			"fieldname": "net_asset_value_as_on_to_date",
			"fieldtype": "Currency",
			"width": 200
		}
	]
