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Merge branch 'develop' into sales-analytics

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Anupam Kumar 2020-09-16 21:45:57 +05:30 committed by GitHub
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12 changed files with 356 additions and 281 deletions
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15
erpnext/accounts/doctype/payment_entry/payment_entry.json
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@ -1,4 +1,5 @@
{
"actions": [],
"allow_import": 1,
"autoname": "naming_series:",
"creation": "2016-06-01 14:38:51.012597",
@ -63,6 +64,7 @@
"cost_center",
"section_break_12",
"status",
"custom_remarks",
"remarks",
"column_break_16",
"letter_head",
@ -462,7 +464,8 @@
"fieldname": "remarks",
"fieldtype": "Small Text",
"label": "Remarks",
"no_copy": 1
"no_copy": 1,
"read_only_depends_on": "eval:doc.custom_remarks == 0"
},
{
"fieldname": "column_break_16",
@ -573,10 +576,18 @@
"label": "Status",
"options": "\nDraft\nSubmitted\nCancelled",
"read_only": 1
},
{
"default": "0",
"fieldname": "custom_remarks",
"fieldtype": "Check",
"label": "Custom Remarks"
}
],
"index_web_pages_for_search": 1,
"is_submittable": 1,
"modified": "2019-12-08 13:02:30.016610",
"links": [],
"modified": "2020-09-02 13:39:43.383705",
"modified_by": "Administrator",
"module": "Accounts",
"name": "Payment Entry",

2
erpnext/accounts/doctype/payment_entry/payment_entry.py
View File

@ -453,7 +453,7 @@ class PaymentEntry(AccountsController):
frappe.throw(_("Reference No and Reference Date is mandatory for Bank transaction"))
def set_remarks(self):
if self.remarks: return
if self.custom_remarks: return
if self.payment_type=="Internal Transfer":
remarks = [_("Amount {0} {1} transferred from {2} to {3}")

2
erpnext/accounts/doctype/purchase_invoice/purchase_invoice.js
View File

@ -28,7 +28,7 @@ erpnext.accounts.PurchaseInvoice = erpnext.buying.BuyingController.extend({
// Trigger supplier event on load if supplier is available
// The reason for this is PI can be created from PR or PO and supplier is pre populated
if (this.frm.doc.supplier) {
if (this.frm.doc.supplier && this.frm.doc.__islocal) {
this.frm.trigger('supplier');
}
},

47
erpnext/buying/doctype/purchase_order/test_purchase_order.py
View File

@ -202,6 +202,53 @@ class TestPurchaseOrder(unittest.TestCase):
self.assertRaises(frappe.ValidationError, update_child_qty_rate,'Purchase Order', trans_item, po.name)
frappe.set_user("Administrator")
def test_update_child_with_tax_template(self):
tax_template = "_Test Account Excise Duty @ 10"
item = "_Test Item Home Desktop 100"
if not frappe.db.exists("Item Tax", {"parent":item, "item_tax_template":tax_template}):
item_doc = frappe.get_doc("Item", item)
item_doc.append("taxes", {
"item_tax_template": tax_template,
"valid_from": nowdate()
})
item_doc.save()
else:
# update valid from
frappe.db.sql("""UPDATE `tabItem Tax` set valid_from = CURDATE()
where parent = %(item)s and item_tax_template = %(tax)s""",
{"item": item, "tax": tax_template})
po = create_purchase_order(item_code=item, qty=1, do_not_save=1)
po.append("taxes", {
"account_head": "_Test Account Excise Duty - _TC",
"charge_type": "On Net Total",
"cost_center": "_Test Cost Center - _TC",
"description": "Excise Duty",
"doctype": "Purchase Taxes and Charges",
"rate": 10
})
po.insert()
po.submit()
self.assertEqual(po.taxes[0].tax_amount, 50)
self.assertEqual(po.taxes[0].total, 550)
items = json.dumps([
{'item_code' : item, 'rate' : 500, 'qty' : 1, 'docname': po.items[0].name},
{'item_code' : item, 'rate' : 100, 'qty' : 1} # added item
])
update_child_qty_rate('Purchase Order', items, po.name)
po.reload()
self.assertEqual(po.taxes[0].tax_amount, 60)
self.assertEqual(po.taxes[0].total, 660)
frappe.db.sql("""UPDATE `tabItem Tax` set valid_from = NULL
where parent = %(item)s and item_tax_template = %(tax)s""",
{"item": item, "tax": tax_template})
def test_update_child_uom_conv_factor_change(self):
po = create_purchase_order(item_code="_Test FG Item", is_subcontracted="Yes")
total_reqd_qty = sum([d.get("required_qty") for d in po.as_dict().get("supplied_items")])

22
erpnext/controllers/accounts_controller.py
View File

@ -20,7 +20,7 @@ from erpnext.accounts.doctype.pricing_rule.utils import (apply_pricing_rule_on_t
from erpnext.exceptions import InvalidCurrency
from six import text_type
from erpnext.accounts.doctype.accounting_dimension.accounting_dimension import get_accounting_dimensions
from erpnext.stock.get_item_details import get_item_warehouse
from erpnext.stock.get_item_details import get_item_warehouse, _get_item_tax_template, get_item_tax_map
from erpnext.stock.doctype.packed_item.packed_item import make_packing_list
force_item_fields = ("item_group", "brand", "stock_uom", "is_fixed_asset", "item_tax_rate", "pricing_rules")
@ -1158,6 +1158,18 @@ def get_supplier_block_status(party_name):
}
return info
def set_child_tax_template_and_map(item, child_item, parent_doc):
args = {
'item_code': item.item_code,
'posting_date': parent_doc.transaction_date,
'tax_category': parent_doc.get('tax_category'),
'company': parent_doc.get('company')
}
child_item.item_tax_template = _get_item_tax_template(args, item.taxes)
if child_item.get("item_tax_template"):
child_item.item_tax_rate = get_item_tax_map(parent_doc.get('company'), child_item.item_tax_template, as_json=True)
def set_sales_order_defaults(parent_doctype, parent_doctype_name, child_docname, trans_item):
"""
Returns a Sales Order Item child item containing the default values
@ -1172,6 +1184,7 @@ def set_sales_order_defaults(parent_doctype, parent_doctype_name, child_docname,
child_item.uom = trans_item.get("uom") or item.stock_uom
conversion_factor = flt(get_conversion_factor(item.item_code, child_item.uom).get("conversion_factor"))
child_item.conversion_factor = flt(trans_item.get('conversion_factor')) or conversion_factor
set_child_tax_template_and_map(item, child_item, p_doc)
child_item.warehouse = get_item_warehouse(item, p_doc, overwrite_warehouse=True)
if not child_item.warehouse:
frappe.throw(_("Cannot find {} for item {}. Please set the same in Item Master or Stock Settings.")
@ -1195,6 +1208,7 @@ def set_purchase_order_defaults(parent_doctype, parent_doctype_name, child_docna
child_item.conversion_factor = flt(trans_item.get('conversion_factor')) or conversion_factor
child_item.base_rate = 1 # Initiallize value will update in parent validation
child_item.base_amount = 1 # Initiallize value will update in parent validation
set_child_tax_template_and_map(item, child_item, p_doc)
return child_item
def validate_and_delete_children(parent, data):
@ -1232,7 +1246,7 @@ def update_child_qty_rate(parent_doctype, trans_items, parent_doctype_name, chil
frappe.throw(_("You do not have permissions to {} items in a {}.")
.format(actions[perm_type], parent_doctype), title=_("Insufficient Permissions"))
def validate_workflow_conditions(doc):
workflow = get_workflow_name(doc.doctype)
if not workflow:
@ -1267,7 +1281,7 @@ def update_child_qty_rate(parent_doctype, trans_items, parent_doctype_name, chil
sales_doctypes = ['Sales Order', 'Sales Invoice', 'Delivery Note', 'Quotation']
parent = frappe.get_doc(parent_doctype, parent_doctype_name)
check_doc_permissions(parent, 'cancel')
validate_and_delete_children(parent, data)
@ -1315,7 +1329,7 @@ def update_child_qty_rate(parent_doctype, trans_items, parent_doctype_name, chil
child_item.conversion_factor = 1
else:
child_item.conversion_factor = flt(d.get('conversion_factor'))
if d.get("uom"):
child_item.uom = d.get("uom")
conversion_factor = flt(get_conversion_factor(child_item.item_code, child_item.uom).get("conversion_factor"))

2
erpnext/public/js/controllers/taxes_and_totals.js
View File

@ -595,7 +595,7 @@ erpnext.taxes_and_totals = erpnext.payments.extend({
$.each(actual_taxes_dict, function(key, value) {
if (value) total_actual_tax += value;
});
return flt(this.frm.doc.grand_total - total_actual_tax, precision("grand_total"));
}
},

0
erpnext/regional/germany/utils/__init__.py Normal file
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0
erpnext/regional/germany/utils/datev/__init__.py Normal file
View File

75
erpnext/regional/report/datev/datev_constants.py → erpnext/regional/germany/utils/datev/datev_constants.py
View File

@ -460,80 +460,8 @@ ACCOUNT_NAME_COLUMNS = [
"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 @@ class DataCategory():
POSTING_TEXT_CONSTANTS = "67"
class FormatName():
"""Field of the CSV Header, corresponds to DataCategory."""
DEBTORS_CREDITORS = "Debitoren/Kreditoren"

174
erpnext/regional/germany/utils/datev/datev_csv.py Normal file
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@ -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'

280
erpnext/regional/report/datev/datev.py
View File

@ -9,31 +9,91 @@ Provide a report and downloadable CSV according to the German DATEV format.
"""
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 @@ def get_account_names(filters):
""", 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 @@ def download_datev_csv(filters=None):
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)
},
])

18
erpnext/regional/report/datev/test_datev.py
View File

@ -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):