diff --git a/erpnext/regional/germany/utils/__init__.py b/erpnext/regional/germany/utils/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/erpnext/regional/germany/utils/__init__.py
diff --git a/erpnext/regional/germany/utils/datev/__init__.py b/erpnext/regional/germany/utils/datev/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/erpnext/regional/germany/utils/datev/__init__.py
diff --git a/erpnext/regional/report/datev/datev_constants.py b/erpnext/regional/germany/utils/datev/datev_constants.py
similarity index 89%
rename from erpnext/regional/report/datev/datev_constants.py
rename to erpnext/regional/germany/utils/datev/datev_constants.py
index e063703..63f9a77 100644
--- a/erpnext/regional/report/datev/datev_constants.py
+++ b/erpnext/regional/germany/utils/datev/datev_constants.py
@@ -460,80 +460,8 @@
 	"Sprach-ID"
 ]
 
-QUERY_REPORT_COLUMNS = [
-	{
-		"label": "Umsatz (ohne Soll/Haben-Kz)",
-		"fieldname": "Umsatz (ohne Soll/Haben-Kz)",
-		"fieldtype": "Currency",
-		"width": 100
-	},
-	{
-		"label": "Soll/Haben-Kennzeichen",
-		"fieldname": "Soll/Haben-Kennzeichen",
-		"fieldtype": "Data",
-		"width": 100
-	},
-	{
-		"label": "Konto",
-		"fieldname": "Konto",
-		"fieldtype": "Data",
-		"width": 100
-	},
-	{
-		"label": "Gegenkonto (ohne BU-Schlüssel)",
-		"fieldname": "Gegenkonto (ohne BU-Schlüssel)",
-		"fieldtype": "Data",
-		"width": 100
-	},
-	{
-		"label": "Belegdatum",
-		"fieldname": "Belegdatum",
-		"fieldtype": "Date",
-		"width": 100
-	},
-	{
-		"label": "Belegfeld 1",
-		"fieldname": "Belegfeld 1",
-		"fieldtype": "Data",
-		"width": 150
-	},
-	{
-		"label": "Buchungstext",
-		"fieldname": "Buchungstext",
-		"fieldtype": "Text",
-		"width": 300
-	},
-	{
-		"label": "Beleginfo - Art 1",
-		"fieldname": "Beleginfo - Art 1",
-		"fieldtype": "Link",
-		"options": "DocType",
-		"width": 100
-	},
-	{
-		"label": "Beleginfo - Inhalt 1",
-		"fieldname": "Beleginfo - Inhalt 1",
-		"fieldtype": "Dynamic Link",
-		"options": "Beleginfo - Art 1",
-		"width": 150
-	},
-	{
-		"label": "Beleginfo - Art 2",
-		"fieldname": "Beleginfo - Art 2",
-		"fieldtype": "Link",
-		"options": "DocType",
-		"width": 100
-	},
-	{
-		"label": "Beleginfo - Inhalt 2",
-		"fieldname": "Beleginfo - Inhalt 2",
-		"fieldtype": "Dynamic Link",
-		"options": "Beleginfo - Art 2",
-		"width": 150
-	}
-]
-
 class DataCategory():
+
 	"""Field of the CSV Header."""
 
 	DEBTORS_CREDITORS = "16"
@@ -542,6 +470,7 @@
 	POSTING_TEXT_CONSTANTS = "67"
 
 class FormatName():
+
 	"""Field of the CSV Header, corresponds to DataCategory."""
 
 	DEBTORS_CREDITORS = "Debitoren/Kreditoren"
diff --git a/erpnext/regional/germany/utils/datev/datev_csv.py b/erpnext/regional/germany/utils/datev/datev_csv.py
new file mode 100644
index 0000000..aae734f
--- /dev/null
+++ b/erpnext/regional/germany/utils/datev/datev_csv.py
@@ -0,0 +1,174 @@
+# coding: utf-8
+from __future__ import unicode_literals
+
+import datetime
+import zipfile
+from csv import QUOTE_NONNUMERIC
+from six import BytesIO
+
+import six
+import frappe
+import pandas as pd
+from frappe import _
+from .datev_constants import DataCategory
+
+
+def get_datev_csv(data, filters, csv_class):
+	"""
+	Fill in missing columns and return a CSV in DATEV Format.
+
+	For automatic processing, DATEV requires the first line of the CSV file to
+	hold meta data such as the length of account numbers oder the category of
+	the data.
+
+	Arguments:
+	data -- array of dictionaries
+	filters -- dict
+	csv_class -- defines DATA_CATEGORY, FORMAT_NAME and COLUMNS
+	"""
+	empty_df = pd.DataFrame(columns=csv_class.COLUMNS)
+	data_df = pd.DataFrame.from_records(data)
+	result = empty_df.append(data_df, sort=True)
+
+	if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS:
+		result['Belegdatum'] = pd.to_datetime(result['Belegdatum'])
+
+	if csv_class.DATA_CATEGORY == DataCategory.ACCOUNT_NAMES:
+		result['Sprach-ID'] = 'de-DE'
+
+	data = result.to_csv(
+		# Reason for str(';'): https://github.com/pandas-dev/pandas/issues/6035
+		sep=str(';'),
+		# European decimal seperator
+		decimal=',',
+		# Windows "ANSI" encoding
+		encoding='latin_1',
+		# format date as DDMM
+		date_format='%d%m',
+		# Windows line terminator
+		line_terminator='\r\n',
+		# Do not number rows
+		index=False,
+		# Use all columns defined above
+		columns=csv_class.COLUMNS,
+		# Quote most fields, even currency values with "," separator
+		quoting=QUOTE_NONNUMERIC
+	)
+
+	if not six.PY2:
+		data = data.encode('latin_1')
+
+	header = get_header(filters, csv_class)
+	header = ';'.join(header).encode('latin_1')
+
+	# 1st Row: Header with meta data
+	# 2nd Row: Data heading (Überschrift der Nutzdaten), included in `data` here.
+	# 3rd - nth Row: Data (Nutzdaten)
+	return header + b'\r\n' + data
+
+
+def get_header(filters, csv_class):
+	description = filters.get('voucher_type', csv_class.FORMAT_NAME)
+	company = filters.get('company')
+	datev_settings = frappe.get_doc('DATEV Settings', {'client': company})
+	default_currency = frappe.get_value('Company', company, 'default_currency')
+	coa = frappe.get_value('Company', company, 'chart_of_accounts')
+	coa_short_code = '04' if 'SKR04' in coa else ('03' if 'SKR03' in coa else '')
+
+	header = [
+		# DATEV format
+		#	"DTVF" = created by DATEV software,
+		#	"EXTF" = created by other software
+		'"EXTF"',
+		# version of the DATEV format
+		#	141 = 1.41, 
+		#	510 = 5.10,
+		#	720 = 7.20
+		'700',
+		csv_class.DATA_CATEGORY,
+		'"%s"' % csv_class.FORMAT_NAME,
+		# Format version (regarding format name)
+		csv_class.FORMAT_VERSION,
+		# Generated on
+		datetime.datetime.now().strftime('%Y%m%d%H%M%S') + '000',
+		# Imported on -- stays empty
+		'',
+		# Origin. Any two symbols, will be replaced by "SV" on import.
+		'"EN"',
+		# I = Exported by
+		'"%s"' % frappe.session.user,
+		# J = Imported by -- stays empty
+		'',
+		# K = Tax consultant number (Beraternummer)
+		datev_settings.get('consultant_number', '0000000'),
+		# L = Tax client number (Mandantennummer)
+		datev_settings.get('client_number', '00000'),
+		# M = Start of the fiscal year (Wirtschaftsjahresbeginn)
+		frappe.utils.formatdate(frappe.defaults.get_user_default('year_start_date'), 'yyyyMMdd'),
+		# N = Length of account numbers (Sachkontenlänge)
+		datev_settings.get('account_number_length', '4'),
+		# O = Transaction batch start date (YYYYMMDD)
+		frappe.utils.formatdate(filters.get('from_date'), 'yyyyMMdd') if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
+		# P = Transaction batch end date (YYYYMMDD)
+		frappe.utils.formatdate(filters.get('to_date'), 'yyyyMMdd') if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
+		# Q = Description (for example, "Sales Invoice") Max. 30 chars
+		'"{}"'.format(_(description)) if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
+		# R = Diktatkürzel
+		'',
+		# S = Buchungstyp
+		#	1 = Transaction batch (Finanzbuchführung),
+		#	2 = Annual financial statement (Jahresabschluss)
+		'1' if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
+		# T = Rechnungslegungszweck
+		#	0 oder leer = vom Rechnungslegungszweck unabhängig
+		#	50 = Handelsrecht
+		#	30 = Steuerrecht
+		#	64 = IFRS
+		#	40 = Kalkulatorik
+		#	11 = Reserviert
+		#	12 = Reserviert
+		'0' if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
+		# U = Festschreibung
+		# TODO: Filter by Accounting Period. In export for closed Accounting Period, this will be "1"
+		'0',
+		# V = Default currency, for example, "EUR"
+		'"%s"' % default_currency if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
+		# reserviert
+		'',
+		# Derivatskennzeichen
+		'',
+		# reserviert
+		'',
+		# reserviert
+		'',
+		# SKR
+		'"%s"' % coa_short_code,
+		# Branchen-Lösungs-ID
+		'',
+		# reserviert
+		'',
+		# reserviert
+		'',
+		# Anwendungsinformation (Verarbeitungskennzeichen der abgebenden Anwendung)
+		''
+	]
+	return header
+
+
+def download_csv_files_as_zip(csv_data_list):
+	"""
+	Put CSV files in a zip archive and send that to the client.
+
+	Params:
+	csv_data_list -- list of dicts [{'file_name': 'EXTF_Buchunsstapel.zip', 'csv_data': get_datev_csv()}]
+	"""
+	zip_buffer = BytesIO()
+
+	datev_zip = zipfile.ZipFile(zip_buffer, mode='w', compression=zipfile.ZIP_DEFLATED)
+	for csv_file in csv_data_list:
+		datev_zip.writestr(csv_file.get('file_name'), csv_file.get('csv_data'))
+	datev_zip.close()
+
+	frappe.response['filecontent'] = zip_buffer.getvalue()
+	frappe.response['filename'] = 'DATEV.zip'
+	frappe.response['type'] = 'binary'
diff --git a/erpnext/regional/report/datev/datev.py b/erpnext/regional/report/datev/datev.py
index 7fec94e..dd818e6 100644
--- a/erpnext/regional/report/datev/datev.py
+++ b/erpnext/regional/report/datev/datev.py
@@ -9,31 +9,91 @@
 """
 from __future__ import unicode_literals
 
-import datetime
 import json
-import zipfile
-import six
 import frappe
-import pandas as pd
-
 from frappe import _
-from csv import QUOTE_NONNUMERIC
-from six import BytesIO
 from six import string_types
-from .datev_constants import DataCategory
-from .datev_constants import Transactions
-from .datev_constants import DebtorsCreditors
-from .datev_constants import AccountNames
-from .datev_constants import QUERY_REPORT_COLUMNS
+from erpnext.regional.germany.utils.datev.datev_csv import download_csv_files_as_zip, get_datev_csv
+from erpnext.regional.germany.utils.datev.datev_constants import Transactions, DebtorsCreditors, AccountNames
+
+COLUMNS = [
+	{
+		"label": "Umsatz (ohne Soll/Haben-Kz)",
+		"fieldname": "Umsatz (ohne Soll/Haben-Kz)",
+		"fieldtype": "Currency",
+		"width": 100
+	},
+	{
+		"label": "Soll/Haben-Kennzeichen",
+		"fieldname": "Soll/Haben-Kennzeichen",
+		"fieldtype": "Data",
+		"width": 100
+	},
+	{
+		"label": "Konto",
+		"fieldname": "Konto",
+		"fieldtype": "Data",
+		"width": 100
+	},
+	{
+		"label": "Gegenkonto (ohne BU-Schlüssel)",
+		"fieldname": "Gegenkonto (ohne BU-Schlüssel)",
+		"fieldtype": "Data",
+		"width": 100
+	},
+	{
+		"label": "Belegdatum",
+		"fieldname": "Belegdatum",
+		"fieldtype": "Date",
+		"width": 100
+	},
+	{
+		"label": "Belegfeld 1",
+		"fieldname": "Belegfeld 1",
+		"fieldtype": "Data",
+		"width": 150
+	},
+	{
+		"label": "Buchungstext",
+		"fieldname": "Buchungstext",
+		"fieldtype": "Text",
+		"width": 300
+	},
+	{
+		"label": "Beleginfo - Art 1",
+		"fieldname": "Beleginfo - Art 1",
+		"fieldtype": "Link",
+		"options": "DocType",
+		"width": 100
+	},
+	{
+		"label": "Beleginfo - Inhalt 1",
+		"fieldname": "Beleginfo - Inhalt 1",
+		"fieldtype": "Dynamic Link",
+		"options": "Beleginfo - Art 1",
+		"width": 150
+	},
+	{
+		"label": "Beleginfo - Art 2",
+		"fieldname": "Beleginfo - Art 2",
+		"fieldtype": "Link",
+		"options": "DocType",
+		"width": 100
+	},
+	{
+		"label": "Beleginfo - Inhalt 2",
+		"fieldname": "Beleginfo - Inhalt 2",
+		"fieldtype": "Dynamic Link",
+		"options": "Beleginfo - Art 2",
+		"width": 150
+	}
+]
 
 
 def execute(filters=None):
 	"""Entry point for frappe."""
 	validate(filters)
-	result = get_transactions(filters, as_dict=0)
-	columns = QUERY_REPORT_COLUMNS
-
-	return columns, result
+	return COLUMNS, get_transactions(filters, as_dict=0)
 
 
 def validate(filters):
@@ -240,146 +300,8 @@
 	""", filters, as_dict=1)
 
 
-def get_datev_csv(data, filters, csv_class):
-	"""
-	Fill in missing columns and return a CSV in DATEV Format.
-
-	For automatic processing, DATEV requires the first line of the CSV file to
-	hold meta data such as the length of account numbers oder the category of
-	the data.
-
-	Arguments:
-	data -- array of dictionaries
-	filters -- dict
-	csv_class -- defines DATA_CATEGORY, FORMAT_NAME and COLUMNS
-	"""
-	empty_df = pd.DataFrame(columns=csv_class.COLUMNS)
-	data_df = pd.DataFrame.from_records(data)
-
-	result = empty_df.append(data_df, sort=True)
-
-	if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS:
-		result['Belegdatum'] = pd.to_datetime(result['Belegdatum'])
-
-	if csv_class.DATA_CATEGORY == DataCategory.ACCOUNT_NAMES:
-		result['Sprach-ID'] = 'de-DE'
-
-	data = result.to_csv(
-		# Reason for str(';'): https://github.com/pandas-dev/pandas/issues/6035
-		sep=str(';'),
-		# European decimal seperator
-		decimal=',',
-		# Windows "ANSI" encoding
-		encoding='latin_1',
-		# format date as DDMM
-		date_format='%d%m',
-		# Windows line terminator
-		line_terminator='\r\n',
-		# Do not number rows
-		index=False,
-		# Use all columns defined above
-		columns=csv_class.COLUMNS,
-		# Quote most fields, even currency values with "," separator
-		quoting=QUOTE_NONNUMERIC
-	)
-
-	if not six.PY2:
-		data = data.encode('latin_1')
-
-	header = get_header(filters, csv_class)
-	header = ';'.join(header).encode('latin_1')
-
-	# 1st Row: Header with meta data
-	# 2nd Row: Data heading (Überschrift der Nutzdaten), included in `data` here.
-	# 3rd - nth Row: Data (Nutzdaten)
-	return header + b'\r\n' + data
-
-
-def get_header(filters, csv_class):
-	description = filters.get('voucher_type', csv_class.FORMAT_NAME)
-
-	header = [
-		# DATEV format
-		#	"DTVF" = created by DATEV software,
-		#	"EXTF" = created by other software
-		'"EXTF"',
-		# version of the DATEV format
-		#	141 = 1.41, 
-		#	510 = 5.10,
-		#	720 = 7.20
-		'700',
-		csv_class.DATA_CATEGORY,
-		'"%s"' % csv_class.FORMAT_NAME,
-		# Format version (regarding format name)
-		csv_class.FORMAT_VERSION,
-		# Generated on
-		datetime.datetime.now().strftime("%Y%m%d%H%M%S") + '000',
-		# Imported on -- stays empty
-		'',
-		# Origin. Any two symbols, will be replaced by "SV" on import.
-		'"EN"',
-		# I = Exported by
-		'"%s"' % frappe.session.user,
-		# J = Imported by -- stays empty
-		'',
-		# K = Tax consultant number (Beraternummer)
-		filters.get('consultant_number', '0000000'),
-		# L = Tax client number (Mandantennummer)
-		filters.get('client_number', '00000'),
-		# M = Start of the fiscal year (Wirtschaftsjahresbeginn)
-		frappe.utils.formatdate(frappe.defaults.get_user_default("year_start_date"), "yyyyMMdd"),
-		# N = Length of account numbers (Sachkontenlänge)
-		'%d' % filters.get('acc_len', 4),
-		# O = Transaction batch start date (YYYYMMDD)
-		frappe.utils.formatdate(filters.get('from_date'), "yyyyMMdd") if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
-		# P = Transaction batch end date (YYYYMMDD)
-		frappe.utils.formatdate(filters.get('to_date'), "yyyyMMdd") if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
-		# Q = Description (for example, "Sales Invoice") Max. 30 chars
-		'"{}"'.format(_(description)) if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
-		# R = Diktatkürzel
-		'',
-		# S = Buchungstyp
-		#	1 = Transaction batch (Finanzbuchführung),
-		#	2 = Annual financial statement (Jahresabschluss)
-		'1' if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
-		# T = Rechnungslegungszweck
-		#	0 oder leer = vom Rechnungslegungszweck unabhängig
-		#	50 = Handelsrecht
-		#	30 = Steuerrecht
-		#	64 = IFRS
-		#	40 = Kalkulatorik
-		#	11 = Reserviert
-		#	12 = Reserviert
-		'0' if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
-		# U = Festschreibung
-		# TODO: Filter by Accounting Period. In export for closed Accounting Period, this will be "1"
-		'0',
-		# V = Default currency, for example, "EUR"
-		'"%s"' % filters.get('default_currency', 'EUR') if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
-		# reserviert
-		'',
-		# Derivatskennzeichen
-		'',
-		# reserviert
-		'',
-		# reserviert
-		'',
-		# SKR
-		'"%s"' % filters.get('skr', '04'),
-		# Branchen-Lösungs-ID
-		'',
-		# reserviert
-		'',
-		# reserviert
-		'',
-		# Anwendungsinformation (Verarbeitungskennzeichen der abgebenden Anwendung)
-		''
-	]
-	return header
-
-
 @frappe.whitelist()
-def download_datev_csv(filters=None):
+def download_datev_csv(filters):
 	"""
 	Provide accounting entries for download in DATEV format.
 
@@ -400,38 +322,26 @@
 	coa = frappe.get_value('Company', filters.get('company'), 'chart_of_accounts')
 	filters['skr'] = '04' if 'SKR04' in coa else ('03' if 'SKR03' in coa else '')
 
-	# set account number length
-	account_numbers = frappe.get_list('Account', fields=['account_number'], filters={'is_group': 0, 'account_number': ('!=', '')})
-	filters['acc_len'] = max([len(a.account_number) for a in account_numbers])
-
-	filters['consultant_number'] = frappe.get_value('DATEV Settings', filters.get('company'), 'consultant_number')
-	filters['client_number'] = frappe.get_value('DATEV Settings', filters.get('company'), 'client_number')
-	filters['default_currency'] = frappe.get_value('Company', filters.get('company'), 'default_currency')
-
-	# This is where my zip will be written
-	zip_buffer = BytesIO()
-	# This is my zip file
-	datev_zip = zipfile.ZipFile(zip_buffer, mode='w', compression=zipfile.ZIP_DEFLATED)
-
 	transactions = get_transactions(filters)
-	transactions_csv = get_datev_csv(transactions, filters, csv_class=Transactions)
-	datev_zip.writestr('EXTF_Buchungsstapel.csv', transactions_csv)
-
 	account_names = get_account_names(filters)
-	account_names_csv = get_datev_csv(account_names, filters, csv_class=AccountNames)
-	datev_zip.writestr('EXTF_Kontenbeschriftungen.csv', account_names_csv)
-
 	customers = get_customers(filters)
-	customers_csv = get_datev_csv(customers, filters, csv_class=DebtorsCreditors)
-	datev_zip.writestr('EXTF_Kunden.csv', customers_csv)
-
 	suppliers = get_suppliers(filters)
-	suppliers_csv = get_datev_csv(suppliers, filters, csv_class=DebtorsCreditors)
-	datev_zip.writestr('EXTF_Lieferanten.csv', suppliers_csv)
-	
-	# You must call close() before exiting your program or essential records will not be written.
-	datev_zip.close()
 
-	frappe.response['filecontent'] = zip_buffer.getvalue()
-	frappe.response['filename'] = 'DATEV.zip'
-	frappe.response['type'] = 'binary'
+	download_csv_files_as_zip([
+		{
+			'file_name': 'EXTF_Buchungsstapel.csv',
+			'csv_data': get_datev_csv(transactions, filters, csv_class=Transactions)
+		},
+		{
+			'file_name': 'EXTF_Kontenbeschriftungen.csv',
+			'csv_data': get_datev_csv(account_names, filters, csv_class=AccountNames)
+		},
+		{
+			'file_name': 'EXTF_Kunden.csv',
+			'csv_data': get_datev_csv(customers, filters, csv_class=DebtorsCreditors)
+		},
+		{
+			'file_name': 'EXTF_Lieferanten.csv',
+			'csv_data': get_datev_csv(suppliers, filters, csv_class=DebtorsCreditors)
+		},
+	])
diff --git a/erpnext/regional/report/datev/test_datev.py b/erpnext/regional/report/datev/test_datev.py
index eed62a8..9529923 100644
--- a/erpnext/regional/report/datev/test_datev.py
+++ b/erpnext/regional/report/datev/test_datev.py
@@ -1,32 +1,22 @@
 # coding=utf-8
 from __future__ import unicode_literals
 
-import os
-import json
 import zipfile
+import frappe
 from six import BytesIO
 from unittest import TestCase
-
-import frappe
-from frappe.utils import getdate, today, now_datetime, cstr
-from frappe.test_runner import make_test_objects
+from frappe.utils import today, now_datetime, cstr
 from erpnext.accounts.doctype.sales_invoice.test_sales_invoice import create_sales_invoice
-from erpnext.accounts.doctype.account.chart_of_accounts.chart_of_accounts import create_charts
 
 from erpnext.regional.report.datev.datev import validate
 from erpnext.regional.report.datev.datev import get_transactions
 from erpnext.regional.report.datev.datev import get_customers
 from erpnext.regional.report.datev.datev import get_suppliers
 from erpnext.regional.report.datev.datev import get_account_names
-from erpnext.regional.report.datev.datev import get_datev_csv
-from erpnext.regional.report.datev.datev import get_header
 from erpnext.regional.report.datev.datev import download_datev_csv
 
-from erpnext.regional.report.datev.datev_constants import DataCategory
-from erpnext.regional.report.datev.datev_constants import Transactions
-from erpnext.regional.report.datev.datev_constants import DebtorsCreditors
-from erpnext.regional.report.datev.datev_constants import AccountNames
-from erpnext.regional.report.datev.datev_constants import QUERY_REPORT_COLUMNS
+from erpnext.regional.germany.utils.datev.datev_csv import get_datev_csv, get_header
+from erpnext.regional.germany.utils.datev.datev_constants import Transactions, DebtorsCreditors, AccountNames
 
 def make_company(company_name, abbr):
 	if not frappe.db.exists("Company", company_name):