refactor : Setting Float Precision for Columns that Representing Monetary DataFields instead of Float with System Settings or Currency

[Sendipad]

Representing Monetary data field as currency in many script report columns would take a lot of space and be annoyaing sometimes, meanwhile using Float as fieldtype would be annoyaing when you set float Precision to 5 in System Settings.

Thus after apply such field many report would get some update for example General Ledger Report: def get_float_precison():
fp = frappe.db.get_single_value(
"Accounts Settings", "monetary_columns_float_precison"
)
if fp !="":
return fp
else :
return frappe.db.get_single_value(
"System Settings", "float_precision"
)

def get_columns(filters):
....

float_precision = get_float_precison()

columns = [

{
"label": _("Debit"),
"fieldname": "debit_in_account_currency",
"fieldtype": "Float",
"precision": float_precision,
"width": 130,
},

	{
		"label": _("Credit"),
		"fieldname": "credit_in_account_currency",
		"fieldtype": "Float",
		"precision": float_precision,
		"width": 130,
	},
	{
		"label": _("Balance"),
		"fieldname": "balance",
		"fieldtype": "Float",
		"precision": float_precision,
		"width": 130,
	},

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