schuetz3/schuetz3-erpnext
3
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Merge pull request #45843 from frappe/mergify/bp/version-14-hotfix/pr-45781

Browse Source 
fix: Added Total Row for `Gross Profit` Report in Non-Grouped Invoices (backport #45781)
This commit is contained in:
ruthra kumar
2025-02-11 10:55:37 +05:30
committed by GitHub
parent 6b9dad7768 49074aa2fa
commit ca9df9db07
1 changed files with 24 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files

29
erpnext/accounts/report/gross_profit/gross_profit.py
View File

@@ -207,15 +207,34 @@ def get_data_when_grouped_by_invoice(columns, gross_profit_data, filters, group_
def get_data_when_not_grouped_by_invoice(gross_profit_data, filters, group_wise_columns, data): def get_data_when_not_grouped_by_invoice(gross_profit_data, filters, group_wise_columns, data):
for src in gross_profit_data.grouped_data: total_base_amount = 0
row = [] total_buying_amount = 0
for col in group_wise_columns.get(scrub(filters.group_by)):
row.append(src.get(col))
row.append(filters.currency) group_columns = group_wise_columns.get(scrub(filters.group_by))
for src in gross_profit_data.grouped_data:
total_base_amount += src.base_amount or 0.00
total_buying_amount += src.buying_amount or 0.00
row = [src.get(col) for col in group_columns] + [filters.currency]
data.append(row) data.append(row)
total_gross_profit = total_base_amount - total_buying_amount
currency_precision = cint(frappe.db.get_default("currency_precision")) or 3
gross_profit_percent = (total_gross_profit / total_base_amount * 100.0) if total_base_amount else 0
total_row = {
group_columns[0]: "Total",
"base_amount": total_base_amount,
"buying_amount": total_buying_amount,
"gross_profit": total_gross_profit,
"gross_profit_percent": flt(gross_profit_percent, currency_precision),
}
total_row = [total_row.get(col, None) for col in [*group_columns, "currency"]]
data.append(total_row)
def get_columns(group_wise_columns, filters): def get_columns(group_wise_columns, filters):
columns = [] columns = []