erpnext/controllers/trends.py - Clicks/Forks/ERPNext - Gitiles

 # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
 # License: GNU General Public License v3. See license.txt


 import frappe
 from frappe import _
 from frappe.utils import getdate


 def get_columns(filters, trans):
 	validate_filters(filters)

 	# get conditions for based_on filter cond
 	based_on_details = based_wise_columns_query(filters.get("based_on"), trans)
 	# get conditions for periodic filter cond
 	period_cols, period_select = period_wise_columns_query(filters, trans)
 	# get conditions for grouping filter cond
 	group_by_cols = group_wise_column(filters.get("group_by"))

 	columns = (
 		based_on_details["based_on_cols"]
 		+ period_cols
 		+ [_("Total(Qty)") + ":Float:120", _("Total(Amt)") + ":Currency:120"]
 	)
 	if group_by_cols:
 		columns = (
 			based_on_details["based_on_cols"]
 			+ group_by_cols
 			+ period_cols
 			+ [_("Total(Qty)") + ":Float:120", _("Total(Amt)") + ":Currency:120"]
 		)

 	conditions = {
 		"based_on_select": based_on_details["based_on_select"],
 		"period_wise_select": period_select,
 		"columns": columns,
 		"group_by": based_on_details["based_on_group_by"],
 		"grbc": group_by_cols,
 		"trans": trans,
 		"addl_tables": based_on_details["addl_tables"],
 		"addl_tables_relational_cond": based_on_details.get("addl_tables_relational_cond", ""),
 	}

 	return conditions


 def validate_filters(filters):
 	for f in ["Fiscal Year", "Based On", "Period", "Company"]:
 		if not filters.get(f.lower().replace(" ", "_")):
 			frappe.throw(_("{0} is mandatory").format(f))

 	if not frappe.db.exists("Fiscal Year", filters.get("fiscal_year")):
 		frappe.throw(_("Fiscal Year {0} Does Not Exist").format(filters.get("fiscal_year")))

 	if filters.get("based_on") == filters.get("group_by"):
 		frappe.throw(_("'Based On' and 'Group By' can not be same"))


 def get_data(filters, conditions):
 	data = []
 	inc, cond = "", ""
 	query_details = conditions["based_on_select"] + conditions["period_wise_select"]

 	posting_date = "t1.transaction_date"
 	if conditions.get("trans") in [
 		"Sales Invoice",
 		"Purchase Invoice",
 		"Purchase Receipt",
 		"Delivery Note",
 	]:
 		posting_date = "t1.posting_date"
 		if filters.period_based_on:
 			posting_date = "t1." + filters.period_based_on

 	if conditions["based_on_select"] in ["t1.project,", "t2.project,"]:
 		cond = " and " + conditions["based_on_select"][:-1] + " IS Not NULL"
 	if conditions.get("trans") in ["Sales Order", "Purchase Order"]:
 		cond += " and t1.status != 'Closed'"

 	if conditions.get("trans") == "Quotation" and filters.get("group_by") == "Customer":
 		cond += " and t1.quotation_to = 'Customer'"

 	year_start_date, year_end_date = frappe.get_cached_value(
 		"Fiscal Year", filters.get("fiscal_year"), ["year_start_date", "year_end_date"]
 	)

 	if filters.get("group_by"):
 		sel_col = ""
 		ind = conditions["columns"].index(conditions["grbc"][0])

 		if filters.get("group_by") == "Item":
 			sel_col = "t2.item_code"
 		elif filters.get("group_by") == "Customer":
 			sel_col = "t1.party_name" if conditions.get("trans") == "Quotation" else "t1.customer"
 		elif filters.get("group_by") == "Supplier":
 			sel_col = "t1.supplier"

 		if filters.get("based_on") in ["Item", "Customer", "Supplier"]:
 			inc = 2
 		else:
 			inc = 1
 		data1 = frappe.db.sql(
 			""" select %s from `tab%s` t1, `tab%s Item` t2 %s
 					where t2.parent = t1.name and t1.company = %s and %s between %s and %s and
 					t1.docstatus = 1 %s %s
 					group by %s
 				"""
 			% (
 				query_details,
 				conditions["trans"],
 				conditions["trans"],
 				conditions["addl_tables"],
 				"%s",
 				posting_date,
 				"%s",
 				"%s",
 				conditions.get("addl_tables_relational_cond"),
 				cond,
 				conditions["group_by"],
 			),
 			(filters.get("company"), year_start_date, year_end_date),
 			as_list=1,
 		)

 		for d in range(len(data1)):
 			# to add blanck column
 			dt = data1[d]
 			dt.insert(ind, "")
 			data.append(dt)

 			# to get distinct value of col specified by group_by in filter
 			row = frappe.db.sql(
 				"""select DISTINCT(%s) from `tab%s` t1, `tab%s Item` t2 %s
 						where t2.parent = t1.name and t1.company = %s and %s between %s and %s
 						and t1.docstatus = 1 and %s = %s %s %s
 					"""
 				% (
 					sel_col,
 					conditions["trans"],
 					conditions["trans"],
 					conditions["addl_tables"],
 					"%s",
 					posting_date,
 					"%s",
 					"%s",
 					conditions["group_by"],
 					"%s",
 					conditions.get("addl_tables_relational_cond"),
 					cond,
 				),
 				(filters.get("company"), year_start_date, year_end_date, data1[d][0]),
 				as_list=1,
 			)

 			for i in range(len(row)):
 				des = ["" for q in range(len(conditions["columns"]))]

 				# get data for group_by filter
 				row1 = frappe.db.sql(
 					""" select %s , %s from `tab%s` t1, `tab%s Item` t2 %s
 							where t2.parent = t1.name and t1.company = %s and %s between %s and %s
 							and t1.docstatus = 1 and %s = %s and %s = %s %s %s
 						"""
 					% (
 						sel_col,
 						conditions["period_wise_select"],
 						conditions["trans"],
 						conditions["trans"],
 						conditions["addl_tables"],
 						"%s",
 						posting_date,
 						"%s",
 						"%s",
 						sel_col,
 						"%s",
 						conditions["group_by"],
 						"%s",
 						conditions.get("addl_tables_relational_cond"),
 						cond,
 					),
 					(filters.get("company"), year_start_date, year_end_date, row[i][0], data1[d][0]),
 					as_list=1,
 				)

 				des[ind] = row[i][0]

 				for j in range(1, len(conditions["columns"]) - inc):
 					des[j + inc] = row1[0][j]

 				data.append(des)
 	else:
 		data = frappe.db.sql(
 			""" select %s from `tab%s` t1, `tab%s Item` t2 %s
 					where t2.parent = t1.name and t1.company = %s and %s between %s and %s and
 					t1.docstatus = 1 %s %s
 					group by %s
 				"""
 			% (
 				query_details,
 				conditions["trans"],
 				conditions["trans"],
 				conditions["addl_tables"],
 				"%s",
 				posting_date,
 				"%s",
 				"%s",
 				cond,
 				conditions.get("addl_tables_relational_cond", ""),
 				conditions["group_by"],
 			),
 			(filters.get("company"), year_start_date, year_end_date),
 			as_list=1,
 		)

 	return data


 def get_mon(dt):
 	return getdate(dt).strftime("%b")


 def period_wise_columns_query(filters, trans):
 	query_details = ""
 	pwc = []
 	bet_dates = get_period_date_ranges(filters.get("period"), filters.get("fiscal_year"))

 	if trans in ["Purchase Receipt", "Delivery Note", "Purchase Invoice", "Sales Invoice"]:
 		trans_date = "posting_date"
 		if filters.period_based_on:
 			trans_date = filters.period_based_on
 	else:
 		trans_date = "transaction_date"

 	if filters.get("period") != "Yearly":
 		for dt in bet_dates:
 			get_period_wise_columns(dt, filters.get("period"), pwc)
 			query_details = get_period_wise_query(dt, trans_date, query_details)
 	else:
 		pwc = [
 			_(filters.get("fiscal_year")) + " (" + _("Qty") + "):Float:120",
 			_(filters.get("fiscal_year")) + " (" + _("Amt") + "):Currency:120",
 		]
 		query_details = " SUM(t2.stock_qty), SUM(t2.base_net_amount),"

 	query_details += "SUM(t2.stock_qty), SUM(t2.base_net_amount)"
 	return pwc, query_details


 def get_period_wise_columns(bet_dates, period, pwc):
 	if period == "Monthly":
 		pwc += [
 			_(get_mon(bet_dates[0])) + " (" + _("Qty") + "):Float:120",
 			_(get_mon(bet_dates[0])) + " (" + _("Amt") + "):Currency:120",
 		]
 	else:
 		pwc += [
 			_(get_mon(bet_dates[0])) + "-" + _(get_mon(bet_dates[1])) + " (" + _("Qty") + "):Float:120",
 			_(get_mon(bet_dates[0])) + "-" + _(get_mon(bet_dates[1])) + " (" + _("Amt") + "):Currency:120",
 		]


 def get_period_wise_query(bet_dates, trans_date, query_details):
 	query_details += """SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.stock_qty, NULL)),
 					SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.base_net_amount, NULL)),
 				""" % {
 		"trans_date": trans_date,
 		"sd": bet_dates[0],
 		"ed": bet_dates[1],
 	}
 	return query_details


 @frappe.whitelist(allow_guest=True)
 def get_period_date_ranges(period, fiscal_year=None, year_start_date=None):
 	from dateutil.relativedelta import relativedelta

 	if not year_start_date:
 		year_start_date, year_end_date = frappe.get_cached_value(
 			"Fiscal Year", fiscal_year, ["year_start_date", "year_end_date"]
 		)

 	increment = {"Monthly": 1, "Quarterly": 3, "Half-Yearly": 6, "Yearly": 12}.get(period)

 	period_date_ranges = []
 	for i in range(1, 13, increment):
 		period_end_date = getdate(year_start_date) + relativedelta(months=increment, days=-1)
 		if period_end_date > getdate(year_end_date):
 			period_end_date = year_end_date
 		period_date_ranges.append([year_start_date, period_end_date])
 		year_start_date = period_end_date + relativedelta(days=1)
 		if period_end_date == year_end_date:
 			break

 	return period_date_ranges


 def get_period_month_ranges(period, fiscal_year):
 	from dateutil.relativedelta import relativedelta

 	period_month_ranges = []

 	for start_date, end_date in get_period_date_ranges(period, fiscal_year):
 		months_in_this_period = []
 		while start_date <= end_date:
 			months_in_this_period.append(start_date.strftime("%B"))
 			start_date += relativedelta(months=1)
 		period_month_ranges.append(months_in_this_period)

 	return period_month_ranges


 def based_wise_columns_query(based_on, trans):
 	based_on_details = {}

 	# based_on_cols, based_on_select, based_on_group_by, addl_tables
 	if based_on == "Item":
 		based_on_details["based_on_cols"] = ["Item:Link/Item:120", "Item Name:Data:120"]
 		based_on_details["based_on_select"] = "t2.item_code, t2.item_name,"
 		based_on_details["based_on_group_by"] = "t2.item_code"
 		based_on_details["addl_tables"] = ""

 	elif based_on == "Item Group":
 		based_on_details["based_on_cols"] = ["Item Group:Link/Item Group:120"]
 		based_on_details["based_on_select"] = "t2.item_group,"
 		based_on_details["based_on_group_by"] = "t2.item_group"
 		based_on_details["addl_tables"] = ""

 	elif based_on == "Customer":
 		based_on_details["based_on_cols"] = [
 			"Customer:Link/Customer:120",
 			"Territory:Link/Territory:120",
 		]
 		based_on_details["based_on_select"] = "t1.customer_name, t1.territory, "
 		based_on_details["based_on_group_by"] = (
 			"t1.party_name" if trans == "Quotation" else "t1.customer"
 		)
 		based_on_details["addl_tables"] = ""

 	elif based_on == "Customer Group":
 		based_on_details["based_on_cols"] = ["Customer Group:Link/Customer Group"]
 		based_on_details["based_on_select"] = "t1.customer_group,"
 		based_on_details["based_on_group_by"] = "t1.customer_group"
 		based_on_details["addl_tables"] = ""

 	elif based_on == "Supplier":
 		based_on_details["based_on_cols"] = [
 			"Supplier:Link/Supplier:120",
 			"Supplier Group:Link/Supplier Group:140",
 		]
 		based_on_details["based_on_select"] = "t1.supplier, t3.supplier_group,"
 		based_on_details["based_on_group_by"] = "t1.supplier"
 		based_on_details["addl_tables"] = ",`tabSupplier` t3"
 		based_on_details["addl_tables_relational_cond"] = " and t1.supplier = t3.name"

 	elif based_on == "Supplier Group":
 		based_on_details["based_on_cols"] = ["Supplier Group:Link/Supplier Group:140"]
 		based_on_details["based_on_select"] = "t3.supplier_group,"
 		based_on_details["based_on_group_by"] = "t3.supplier_group"
 		based_on_details["addl_tables"] = ",`tabSupplier` t3"
 		based_on_details["addl_tables_relational_cond"] = " and t1.supplier = t3.name"

 	elif based_on == "Territory":
 		based_on_details["based_on_cols"] = ["Territory:Link/Territory:120"]
 		based_on_details["based_on_select"] = "t1.territory,"
 		based_on_details["based_on_group_by"] = "t1.territory"
 		based_on_details["addl_tables"] = ""

 	elif based_on == "Project":
 		if trans in ["Sales Invoice", "Delivery Note", "Sales Order"]:
 			based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
 			based_on_details["based_on_select"] = "t1.project,"
 			based_on_details["based_on_group_by"] = "t1.project"
 			based_on_details["addl_tables"] = ""
 		elif trans in ["Purchase Order", "Purchase Invoice", "Purchase Receipt"]:
 			based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
 			based_on_details["based_on_select"] = "t2.project,"
 			based_on_details["based_on_group_by"] = "t2.project"
 			based_on_details["addl_tables"] = ""
 		else:
 			frappe.throw(_("Project-wise data is not available for Quotation"))

 	return based_on_details


 def group_wise_column(group_by):
 	if group_by:
 		return [group_by + ":Link/" + group_by + ":120"]
 	else:
 		return []
	# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
	# License: GNU General Public License v3. See license.txt


	import frappe
	from frappe import _
	from frappe.utils import getdate


	def get_columns(filters, trans):
	validate_filters(filters)

	# get conditions for based_on filter cond
	based_on_details = based_wise_columns_query(filters.get("based_on"), trans)
	# get conditions for periodic filter cond
	period_cols, period_select = period_wise_columns_query(filters, trans)
	# get conditions for grouping filter cond
	group_by_cols = group_wise_column(filters.get("group_by"))

	columns = (
	based_on_details["based_on_cols"]
	+ period_cols
	+ [_("Total(Qty)") + ":Float:120", _("Total(Amt)") + ":Currency:120"]
	)
	if group_by_cols:
	columns = (
	based_on_details["based_on_cols"]
	+ group_by_cols
	+ period_cols
	+ [_("Total(Qty)") + ":Float:120", _("Total(Amt)") + ":Currency:120"]
	)

	conditions = {
	"based_on_select": based_on_details["based_on_select"],
	"period_wise_select": period_select,
	"columns": columns,
	"group_by": based_on_details["based_on_group_by"],
	"grbc": group_by_cols,
	"trans": trans,
	"addl_tables": based_on_details["addl_tables"],
	"addl_tables_relational_cond": based_on_details.get("addl_tables_relational_cond", ""),
	}

	return conditions


	def validate_filters(filters):
	for f in ["Fiscal Year", "Based On", "Period", "Company"]:
	if not filters.get(f.lower().replace(" ", "_")):
	frappe.throw(_("{0} is mandatory").format(f))

	if not frappe.db.exists("Fiscal Year", filters.get("fiscal_year")):
	frappe.throw(_("Fiscal Year {0} Does Not Exist").format(filters.get("fiscal_year")))

	if filters.get("based_on") == filters.get("group_by"):
	frappe.throw(_("'Based On' and 'Group By' can not be same"))


	def get_data(filters, conditions):
	data = []
	inc, cond = "", ""
	query_details = conditions["based_on_select"] + conditions["period_wise_select"]

	posting_date = "t1.transaction_date"
	if conditions.get("trans") in [
	"Sales Invoice",
	"Purchase Invoice",
	"Purchase Receipt",
	"Delivery Note",
	]:
	posting_date = "t1.posting_date"
	if filters.period_based_on:
	posting_date = "t1." + filters.period_based_on

	if conditions["based_on_select"] in ["t1.project,", "t2.project,"]:
	cond = " and " + conditions["based_on_select"][:-1] + " IS Not NULL"
	if conditions.get("trans") in ["Sales Order", "Purchase Order"]:
	cond += " and t1.status != 'Closed'"

	if conditions.get("trans") == "Quotation" and filters.get("group_by") == "Customer":
	cond += " and t1.quotation_to = 'Customer'"

	year_start_date, year_end_date = frappe.get_cached_value(
	"Fiscal Year", filters.get("fiscal_year"), ["year_start_date", "year_end_date"]
	)

	if filters.get("group_by"):
	sel_col = ""
	ind = conditions["columns"].index(conditions["grbc"][0])

	if filters.get("group_by") == "Item":
	sel_col = "t2.item_code"
	elif filters.get("group_by") == "Customer":
	sel_col = "t1.party_name" if conditions.get("trans") == "Quotation" else "t1.customer"
	elif filters.get("group_by") == "Supplier":
	sel_col = "t1.supplier"

	if filters.get("based_on") in ["Item", "Customer", "Supplier"]:
	inc = 2
	else:
	inc = 1
	data1 = frappe.db.sql(
	""" select %s from `tab%s` t1, `tab%s Item` t2 %s
	where t2.parent = t1.name and t1.company = %s and %s between %s and %s and
	t1.docstatus = 1 %s %s
	group by %s
	"""
	% (
	query_details,
	conditions["trans"],
	conditions["trans"],
	conditions["addl_tables"],
	"%s",
	posting_date,
	"%s",
	"%s",
	conditions.get("addl_tables_relational_cond"),
	cond,
	conditions["group_by"],
	),
	(filters.get("company"), year_start_date, year_end_date),
	as_list=1,
	)

	for d in range(len(data1)):
	# to add blanck column
	dt = data1[d]
	dt.insert(ind, "")
	data.append(dt)

	# to get distinct value of col specified by group_by in filter
	row = frappe.db.sql(
	"""select DISTINCT(%s) from `tab%s` t1, `tab%s Item` t2 %s
	where t2.parent = t1.name and t1.company = %s and %s between %s and %s
	and t1.docstatus = 1 and %s = %s %s %s
	"""
	% (
	sel_col,
	conditions["trans"],
	conditions["trans"],
	conditions["addl_tables"],
	"%s",
	posting_date,
	"%s",
	"%s",
	conditions["group_by"],
	"%s",
	conditions.get("addl_tables_relational_cond"),
	cond,
	),
	(filters.get("company"), year_start_date, year_end_date, data1[d][0]),
	as_list=1,
	)

	for i in range(len(row)):
	des = ["" for q in range(len(conditions["columns"]))]

	# get data for group_by filter
	row1 = frappe.db.sql(
	""" select %s , %s from `tab%s` t1, `tab%s Item` t2 %s
	where t2.parent = t1.name and t1.company = %s and %s between %s and %s
	and t1.docstatus = 1 and %s = %s and %s = %s %s %s
	"""
	% (
	sel_col,
	conditions["period_wise_select"],
	conditions["trans"],
	conditions["trans"],
	conditions["addl_tables"],
	"%s",
	posting_date,
	"%s",
	"%s",
	sel_col,
	"%s",
	conditions["group_by"],
	"%s",
	conditions.get("addl_tables_relational_cond"),
	cond,
	),
	(filters.get("company"), year_start_date, year_end_date, row[i][0], data1[d][0]),
	as_list=1,
	)

	des[ind] = row[i][0]

	for j in range(1, len(conditions["columns"]) - inc):
	des[j + inc] = row1[0][j]

	data.append(des)
	else:
	data = frappe.db.sql(
	""" select %s from `tab%s` t1, `tab%s Item` t2 %s
	where t2.parent = t1.name and t1.company = %s and %s between %s and %s and
	t1.docstatus = 1 %s %s
	group by %s
	"""
	% (
	query_details,
	conditions["trans"],
	conditions["trans"],
	conditions["addl_tables"],
	"%s",
	posting_date,
	"%s",
	"%s",
	cond,
	conditions.get("addl_tables_relational_cond", ""),
	conditions["group_by"],
	),
	(filters.get("company"), year_start_date, year_end_date),
	as_list=1,
	)

	return data


	def get_mon(dt):
	return getdate(dt).strftime("%b")


	def period_wise_columns_query(filters, trans):
	query_details = ""
	pwc = []
	bet_dates = get_period_date_ranges(filters.get("period"), filters.get("fiscal_year"))

	if trans in ["Purchase Receipt", "Delivery Note", "Purchase Invoice", "Sales Invoice"]:
	trans_date = "posting_date"
	if filters.period_based_on:
	trans_date = filters.period_based_on
	else:
	trans_date = "transaction_date"

	if filters.get("period") != "Yearly":
	for dt in bet_dates:
	get_period_wise_columns(dt, filters.get("period"), pwc)
	query_details = get_period_wise_query(dt, trans_date, query_details)
	else:
	pwc = [
	_(filters.get("fiscal_year")) + " (" + _("Qty") + "):Float:120",
	_(filters.get("fiscal_year")) + " (" + _("Amt") + "):Currency:120",
	]
	query_details = " SUM(t2.stock_qty), SUM(t2.base_net_amount),"

	query_details += "SUM(t2.stock_qty), SUM(t2.base_net_amount)"
	return pwc, query_details


	def get_period_wise_columns(bet_dates, period, pwc):
	if period == "Monthly":
	pwc += [
	_(get_mon(bet_dates[0])) + " (" + _("Qty") + "):Float:120",
	_(get_mon(bet_dates[0])) + " (" + _("Amt") + "):Currency:120",
	]
	else:
	pwc += [
	_(get_mon(bet_dates[0])) + "-" + _(get_mon(bet_dates[1])) + " (" + _("Qty") + "):Float:120",
	_(get_mon(bet_dates[0])) + "-" + _(get_mon(bet_dates[1])) + " (" + _("Amt") + "):Currency:120",
	]


	def get_period_wise_query(bet_dates, trans_date, query_details):
	query_details += """SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.stock_qty, NULL)),
	SUM(IF(t1.%(trans_date)s BETWEEN '%(sd)s' AND '%(ed)s', t2.base_net_amount, NULL)),
	""" % {
	"trans_date": trans_date,
	"sd": bet_dates[0],
	"ed": bet_dates[1],
	}
	return query_details


	@frappe.whitelist(allow_guest=True)
	def get_period_date_ranges(period, fiscal_year=None, year_start_date=None):
	from dateutil.relativedelta import relativedelta

	if not year_start_date:
	year_start_date, year_end_date = frappe.get_cached_value(
	"Fiscal Year", fiscal_year, ["year_start_date", "year_end_date"]
	)

	increment = {"Monthly": 1, "Quarterly": 3, "Half-Yearly": 6, "Yearly": 12}.get(period)

	period_date_ranges = []
	for i in range(1, 13, increment):
	period_end_date = getdate(year_start_date) + relativedelta(months=increment, days=-1)
	if period_end_date > getdate(year_end_date):
	period_end_date = year_end_date
	period_date_ranges.append([year_start_date, period_end_date])
	year_start_date = period_end_date + relativedelta(days=1)
	if period_end_date == year_end_date:
	break

	return period_date_ranges


	def get_period_month_ranges(period, fiscal_year):
	from dateutil.relativedelta import relativedelta

	period_month_ranges = []

	for start_date, end_date in get_period_date_ranges(period, fiscal_year):
	months_in_this_period = []
	while start_date <= end_date:
	months_in_this_period.append(start_date.strftime("%B"))
	start_date += relativedelta(months=1)
	period_month_ranges.append(months_in_this_period)

	return period_month_ranges


	def based_wise_columns_query(based_on, trans):
	based_on_details = {}

	# based_on_cols, based_on_select, based_on_group_by, addl_tables
	if based_on == "Item":
	based_on_details["based_on_cols"] = ["Item:Link/Item:120", "Item Name:Data:120"]
	based_on_details["based_on_select"] = "t2.item_code, t2.item_name,"
	based_on_details["based_on_group_by"] = "t2.item_code"
	based_on_details["addl_tables"] = ""

	elif based_on == "Item Group":
	based_on_details["based_on_cols"] = ["Item Group:Link/Item Group:120"]
	based_on_details["based_on_select"] = "t2.item_group,"
	based_on_details["based_on_group_by"] = "t2.item_group"
	based_on_details["addl_tables"] = ""

	elif based_on == "Customer":
	based_on_details["based_on_cols"] = [
	"Customer:Link/Customer:120",
	"Territory:Link/Territory:120",
	]
	based_on_details["based_on_select"] = "t1.customer_name, t1.territory, "
	based_on_details["based_on_group_by"] = (
	"t1.party_name" if trans == "Quotation" else "t1.customer"
	)
	based_on_details["addl_tables"] = ""

	elif based_on == "Customer Group":
	based_on_details["based_on_cols"] = ["Customer Group:Link/Customer Group"]
	based_on_details["based_on_select"] = "t1.customer_group,"
	based_on_details["based_on_group_by"] = "t1.customer_group"
	based_on_details["addl_tables"] = ""

	elif based_on == "Supplier":
	based_on_details["based_on_cols"] = [
	"Supplier:Link/Supplier:120",
	"Supplier Group:Link/Supplier Group:140",
	]
	based_on_details["based_on_select"] = "t1.supplier, t3.supplier_group,"
	based_on_details["based_on_group_by"] = "t1.supplier"
	based_on_details["addl_tables"] = ",`tabSupplier` t3"
	based_on_details["addl_tables_relational_cond"] = " and t1.supplier = t3.name"

	elif based_on == "Supplier Group":
	based_on_details["based_on_cols"] = ["Supplier Group:Link/Supplier Group:140"]
	based_on_details["based_on_select"] = "t3.supplier_group,"
	based_on_details["based_on_group_by"] = "t3.supplier_group"
	based_on_details["addl_tables"] = ",`tabSupplier` t3"
	based_on_details["addl_tables_relational_cond"] = " and t1.supplier = t3.name"

	elif based_on == "Territory":
	based_on_details["based_on_cols"] = ["Territory:Link/Territory:120"]
	based_on_details["based_on_select"] = "t1.territory,"
	based_on_details["based_on_group_by"] = "t1.territory"
	based_on_details["addl_tables"] = ""

	elif based_on == "Project":
	if trans in ["Sales Invoice", "Delivery Note", "Sales Order"]:
	based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
	based_on_details["based_on_select"] = "t1.project,"
	based_on_details["based_on_group_by"] = "t1.project"
	based_on_details["addl_tables"] = ""
	elif trans in ["Purchase Order", "Purchase Invoice", "Purchase Receipt"]:
	based_on_details["based_on_cols"] = ["Project:Link/Project:120"]
	based_on_details["based_on_select"] = "t2.project,"
	based_on_details["based_on_group_by"] = "t2.project"
	based_on_details["addl_tables"] = ""
	else:
	frappe.throw(_("Project-wise data is not available for Quotation"))

	return based_on_details


	def group_wise_column(group_by):
	if group_by:
	return [group_by + ":Link/" + group_by + ":120"]
	else:
	return []