fix: Get data when grouped by invoice and otherwise

This commit is contained in:
GangaManoj 2021-08-25 02:52:18 +05:30
parent 96909b6c3b
commit bea0f7a202

View File

@ -42,37 +42,43 @@ def execute(filters=None):
columns = get_columns(group_wise_columns, filters)
if filters.group_by == 'Invoice':
column_names = get_column_names()
# to display item as Item Code: Item Name
columns[0] = 'Sales Invoice:Link/Item:300'
# removing Item Code and Item Name columns
del columns[4:6]
for src in gross_profit_data.si_list:
row = frappe._dict()
row.indent = src.indent
row.parent_invoice = src.parent_invoice
row.currency = filters.currency
for col in group_wise_columns.get(scrub(filters.group_by)):
row[column_names[col]] = src.get(col)
data.append(row)
get_data_when_grouped_by_invoice(columns, gross_profit_data, filters, group_wise_columns, data)
else:
for idx, src in enumerate(gross_profit_data.grouped_data):
row = []
for col in group_wise_columns.get(scrub(filters.group_by)):
row.append(src.get(col))
row.append(filters.currency)
if idx == len(gross_profit_data.grouped_data)-1:
row[0] = frappe.bold("Total")
data.append(row)
get_data_when_not_grouped_by_invoice(gross_profit_data, filters, group_wise_columns, data)
return columns, data
def get_data_when_grouped_by_invoice(columns, gross_profit_data, filters, group_wise_columns, data):
column_names = get_column_names()
# to display item as Item Code: Item Name
columns[0] = 'Sales Invoice:Link/Item:300'
# removing Item Code and Item Name columns
del columns[4:6]
for src in gross_profit_data.si_list:
row = frappe._dict()
row.indent = src.indent
row.parent_invoice = src.parent_invoice
row.currency = filters.currency
for col in group_wise_columns.get(scrub(filters.group_by)):
row[column_names[col]] = src.get(col)
data.append(row)
def get_data_when_not_grouped_by_invoice(gross_profit_data, filters, group_wise_columns, data):
for idx, src in enumerate(gross_profit_data.grouped_data):
row = []
for col in group_wise_columns.get(scrub(filters.group_by)):
row.append(src.get(col))
row.append(filters.currency)
if idx == len(gross_profit_data.grouped_data)-1:
row[0] = frappe.bold("Total")
data.append(row)
def get_columns(group_wise_columns, filters):
columns = []
column_map = frappe._dict({