feat: utility report to identify invalid ledger entries

(cherry picked from commit 832c4aaf82)

erpnext/accounts/report/invalid_ledger_entries/invalid_ledger_entries.js

@@ -0,0 +1,13 @@
+// Copyright (c) 2024, Frappe Technologies Pvt. Ltd. and contributors
+// For license information, please see license.txt
+
+frappe.query_reports["Invalid Ledger Entries"] = {
+	filters: [
+		// {
+		// 	"fieldname": "my_filter",
+		// 	"label": __("My Filter"),
+		// 	"fieldtype": "Data",
+		// 	"reqd": 1,
+		// },
+	],
+};

erpnext/accounts/report/invalid_ledger_entries/invalid_ledger_entries.json

@@ -0,0 +1,23 @@
+{
+ "add_total_row": 0,
+ "columns": [],
+ "creation": "2024-09-09 12:31:25.295976",
+ "disabled": 0,
+ "docstatus": 0,
+ "doctype": "Report",
+ "filters": [],
+ "idx": 0,
+ "is_standard": "Yes",
+ "letterhead": null,
+ "modified": "2024-09-09 12:31:25.295976",
+ "modified_by": "Administrator",
+ "module": "Accounts",
+ "name": "Invalid Ledger Entries",
+ "owner": "Administrator",
+ "prepared_report": 0,
+ "ref_doctype": "GL Entry",
+ "report_name": "Invalid Ledger Entries",
+ "report_type": "Script Report",
+ "roles": [],
+ "timeout": 0
+}

erpnext/accounts/report/invalid_ledger_entries/invalid_ledger_entries.py

@@ -0,0 +1,48 @@
+# Copyright (c) 2024, Frappe Technologies Pvt. Ltd. and contributors
+# For license information, please see license.txt
+
+# import frappe
+from frappe import _
+
+
+def execute(filters: dict | None = None):
+	"""Return columns and data for the report.
+
+	This is the main entry point for the report. It accepts the filters as a
+	dictionary and should return columns and data. It is called by the framework
+	every time the report is refreshed or a filter is updated.
+	"""
+	columns = get_columns()
+	data = get_data()
+
+	return columns, data
+
+
+def get_columns() -> list[dict]:
+	"""Return columns for the report.
+
+	One field definition per column, just like a DocType field definition.
+	"""
+	return [
+		{
+			"label": _("Column 1"),
+			"fieldname": "column_1",
+			"fieldtype": "Data",
+		},
+		{
+			"label": _("Column 2"),
+			"fieldname": "column_2",
+			"fieldtype": "Int",
+		},
+	]
+
+
+def get_data() -> list[list]:
+	"""Return data for the report.
+
+	The report data is a list of rows, with each row being a list of cell values.
+	"""
+	return [
+		["Row 1", 1],
+		["Row 2", 2],
+	]