feat(regional): Report for german tax consultants (DATEV)

erpnext/regional/report/datev/datev.js

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+frappe.query_reports["DATEV"] = {
+	"filters": [
+		{
+			"fieldname": "company",
+			"label": __("Company"),
+			"fieldtype": "Link",
+			"options": "Company",
+			"default": frappe.defaults.get_user_default("Company"),
+			"reqd": 1
+		},
+		{
+			"fieldname": "fiscal_year",
+			"label": __("Fiscal Year"),
+			"fieldtype": "Link",
+			"options": "Fiscal Year",
+			"default": frappe.defaults.get_user_default("fiscal_year"),
+			"reqd": 1
+		}
+	],
+	onload: function(query_report) {
+		query_report.export_report = function() {
+			const filters = JSON.stringify(query_report.get_values());
+			window.open(`/api/method/erpnext.regional.report.datev.datev.download_datev_csv?filters=${filters}`);
+		};
+	}
+};

erpnext/regional/report/datev/datev.json

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+{
+	"add_total_row": 0,
+	"apply_user_permissions": 0,
+	"creation": "2019-04-24 08:45:16.650129",
+	"disabled": 0,
+	"icon": "octicon octicon-repo-pull",
+	"color": "#96cf41",
+	"docstatus": 0,
+	"doctype": "Report",
+	"idx": 0,
+	"is_standard": "Yes",
+	"module": "Regional",
+	"name": "DATEV",
+	"owner": "Administrator",
+	"ref_doctype": "GL Entry",
+	"report_name": "DATEV",
+	"report_type": "Script Report",
+	"roles": [
+		{
+			"role": "Accounts User"
+		},
+		{
+			"role": "Accounts Manager"
+		},
+		{
+			"role": "Auditor"
+		}
+	]
+}

erpnext/regional/report/datev/datev.py

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+# coding: utf-8
+from __future__ import unicode_literals
+import json
+from six import string_types
+import frappe
+from frappe.utils import format_datetime
+from frappe import _
+
+
+def execute(filters=None):
+	validate_filters(filters)
+	result = get_gl_entries(filters, as_dict=0)
+	columns = get_columns()
+
+	return columns, result
+
+
+def validate_filters(filters):
+	if not filters.get('company'):
+		frappe.throw(_('{0} is mandatory').format(_('Company')))
+
+	if not filters.get('fiscal_year'):
+		frappe.throw(_('{0} is mandatory').format(_('Fiscal Year')))
+
+
+def get_columns():
+	columns = [
+		{
+			"label": "Umsatz (ohne Soll/Haben-Kz)",
+			"fieldname": "umsatz",
+			"fieldtype": "Currency",
+		},
+		{
+			"label": "Soll/Haben-Kennzeichen",
+			"fieldname": "soll_haben_kennzeichen",
+			"fieldtype": "Data",
+		},
+		{
+			"label": "Kontonummer",
+			"fieldname": "kontonummer",
+			"fieldtype": "Data",
+		},
+		{
+			"label": "Gegenkonto (ohne BU-Schlüssel)",
+			"fieldname": "gegenkonto_nummer",
+			"fieldtype": "Data",
+		},
+		{
+			"label": "Belegdatum",
+			"fieldname": "belegdatum",
+			"fieldtype": "Date",
+		}
+	]
+
+	return columns
+
+
+def get_gl_entries(filters, as_dict):
+	gl_entries = frappe.db.sql("""
+		select
+
+			case gl.debit when 0 then gl.credit else gl.debit end as Umsatz,
+			case gl.debit when 0 then 'H' else 'S' end as Kennzeichen,
+			coalesce(acc.account_number, acc_pa.account_number) as Kontonummer,
+			coalesce(acc_against.account_number, acc_against_pa.account_number) as Gegenkonto,
+			gl.posting_date as Belegdatum
+
+		from `tabGL Entry` gl
+
+			/* Statistisches Konto (Debitoren/Kreditoren) */
+			left join `tabParty Account` pa
+			on gl.against = pa.parent
+
+			/* Kontonummer */
+			left join `tabAccount` acc 
+			on gl.account = acc.name
+
+			/* Gegenkonto-Nummer */
+			left join `tabAccount` acc_against 
+			on gl.against = acc_against.name
+
+			/* Statistische Kontonummer */
+			left join `tabAccount` acc_pa
+			on pa.account = acc_pa.name
+
+			/* Statistische Gegenkonto-Nummer */
+			left join `tabAccount` acc_against_pa 
+			on pa.account = acc_against_pa.name
+
+		where gl.company=%(company)s and gl.fiscal_year=%(fiscal_year)s
+		order by 'Belegdatum:Date', voucher_no""", filters, as_dict=as_dict)
+
+	return gl_entries
+
+
+def get_datev_csv(data):
+	title_row = [
+		"Umsatz (ohne Soll/Haben-Kz)",
+		"Soll/Haben-Kennzeichen",
+		"Kontonummer",
+		"Gegenkonto (ohne BU-Schlüssel)",
+		"Belegdatum"
+	]
+
+	result = ['"' + '";"'.join(title_row) + '"']
+	result += [
+		';'.join(
+			[
+				'{:.2f}'.format(d.get('Umsatz')).replace('.', ','),
+				'"{}"'.format(d.get('Kennzeichen')),
+				d.get('Kontonummer'),
+				# Can be empty, if there are no debtor / creditor accounts
+				d.get('Gegenkonto') or '',
+				format_datetime(d.get('Belegdatum'), 'ddMMyyyy')
+			]
+		) for d in data
+	]
+
+	return b'\r\n'.join(result).encode(encoding='latin_1')
+
+
+@frappe.whitelist()
+def download_datev_csv(filters=None):
+	if isinstance(filters, string_types):
+		filters = json.loads(filters)
+
+	validate_filters(filters)
+	data = get_gl_entries(filters, as_dict=1)
+
+	filename = 'DATEV_Buchungsstapel_{}-{}'.format(
+		filters.get('company'),
+		filters.get('fiscal_year')
+	)
+
+	frappe.response['result'] = get_datev_csv(data)
+	frappe.response['doctype'] = filename
+	frappe.response['type'] = 'csv'