Merge pull request #22849 from alyf-de/datev_refactor
refactor: move datev-specific stuff to utils
This commit is contained in:
Deepesh Garg
GitHub
commit
db52cfe05a
0
erpnext/regional/germany/utils/__init__.py
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0
erpnext/regional/germany/utils/__init__.py
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0
erpnext/regional/germany/utils/datev/__init__.py
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0
erpnext/regional/germany/utils/datev/__init__.py
Normal file
@ -460,80 +460,8 @@ ACCOUNT_NAME_COLUMNS = [
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"Sprach-ID"
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]
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QUERY_REPORT_COLUMNS = [
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{
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"label": "Umsatz (ohne Soll/Haben-Kz)",
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"fieldname": "Umsatz (ohne Soll/Haben-Kz)",
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"fieldtype": "Currency",
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"width": 100
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},
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{
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"label": "Soll/Haben-Kennzeichen",
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"fieldname": "Soll/Haben-Kennzeichen",
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"fieldtype": "Data",
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"width": 100
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},
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{
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"label": "Konto",
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"fieldname": "Konto",
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"fieldtype": "Data",
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"width": 100
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},
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{
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"label": "Gegenkonto (ohne BU-Schlüssel)",
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"fieldname": "Gegenkonto (ohne BU-Schlüssel)",
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"fieldtype": "Data",
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"width": 100
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},
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{
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"label": "Belegdatum",
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"fieldname": "Belegdatum",
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"fieldtype": "Date",
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"width": 100
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},
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{
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"label": "Belegfeld 1",
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"fieldname": "Belegfeld 1",
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"fieldtype": "Data",
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"width": 150
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},
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{
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"label": "Buchungstext",
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"fieldname": "Buchungstext",
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"fieldtype": "Text",
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"width": 300
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},
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{
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"label": "Beleginfo - Art 1",
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"fieldname": "Beleginfo - Art 1",
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"fieldtype": "Link",
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"options": "DocType",
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"width": 100
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},
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{
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"label": "Beleginfo - Inhalt 1",
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"fieldname": "Beleginfo - Inhalt 1",
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"fieldtype": "Dynamic Link",
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"options": "Beleginfo - Art 1",
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"width": 150
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},
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{
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"label": "Beleginfo - Art 2",
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"fieldname": "Beleginfo - Art 2",
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"fieldtype": "Link",
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"options": "DocType",
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"width": 100
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},
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{
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"label": "Beleginfo - Inhalt 2",
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"fieldname": "Beleginfo - Inhalt 2",
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"fieldtype": "Dynamic Link",
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"options": "Beleginfo - Art 2",
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"width": 150
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}
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]
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class DataCategory():
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"""Field of the CSV Header."""
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DEBTORS_CREDITORS = "16"
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@ -542,6 +470,7 @@ class DataCategory():
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POSTING_TEXT_CONSTANTS = "67"
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class FormatName():
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"""Field of the CSV Header, corresponds to DataCategory."""
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DEBTORS_CREDITORS = "Debitoren/Kreditoren"
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174
erpnext/regional/germany/utils/datev/datev_csv.py
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174
erpnext/regional/germany/utils/datev/datev_csv.py
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@ -0,0 +1,174 @@
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# coding: utf-8
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from __future__ import unicode_literals
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import datetime
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import zipfile
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from csv import QUOTE_NONNUMERIC
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from six import BytesIO
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import six
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import frappe
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import pandas as pd
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from frappe import _
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from .datev_constants import DataCategory
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def get_datev_csv(data, filters, csv_class):
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"""
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Fill in missing columns and return a CSV in DATEV Format.
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For automatic processing, DATEV requires the first line of the CSV file to
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hold meta data such as the length of account numbers oder the category of
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the data.
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Arguments:
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data -- array of dictionaries
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filters -- dict
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csv_class -- defines DATA_CATEGORY, FORMAT_NAME and COLUMNS
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"""
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empty_df = pd.DataFrame(columns=csv_class.COLUMNS)
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data_df = pd.DataFrame.from_records(data)
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result = empty_df.append(data_df, sort=True)
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if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS:
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result['Belegdatum'] = pd.to_datetime(result['Belegdatum'])
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if csv_class.DATA_CATEGORY == DataCategory.ACCOUNT_NAMES:
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result['Sprach-ID'] = 'de-DE'
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data = result.to_csv(
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# Reason for str(';'): https://github.com/pandas-dev/pandas/issues/6035
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sep=str(';'),
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# European decimal seperator
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decimal=',',
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# Windows "ANSI" encoding
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encoding='latin_1',
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# format date as DDMM
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date_format='%d%m',
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# Windows line terminator
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line_terminator='\r\n',
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# Do not number rows
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index=False,
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# Use all columns defined above
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columns=csv_class.COLUMNS,
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# Quote most fields, even currency values with "," separator
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quoting=QUOTE_NONNUMERIC
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)
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if not six.PY2:
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data = data.encode('latin_1')
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header = get_header(filters, csv_class)
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header = ';'.join(header).encode('latin_1')
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# 1st Row: Header with meta data
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# 2nd Row: Data heading (Überschrift der Nutzdaten), included in `data` here.
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# 3rd - nth Row: Data (Nutzdaten)
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return header + b'\r\n' + data
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def get_header(filters, csv_class):
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description = filters.get('voucher_type', csv_class.FORMAT_NAME)
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company = filters.get('company')
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datev_settings = frappe.get_doc('DATEV Settings', {'client': company})
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default_currency = frappe.get_value('Company', company, 'default_currency')
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coa = frappe.get_value('Company', company, 'chart_of_accounts')
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coa_short_code = '04' if 'SKR04' in coa else ('03' if 'SKR03' in coa else '')
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header = [
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# DATEV format
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# "DTVF" = created by DATEV software,
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# "EXTF" = created by other software
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'"EXTF"',
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# version of the DATEV format
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# 141 = 1.41,
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# 510 = 5.10,
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# 720 = 7.20
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'700',
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csv_class.DATA_CATEGORY,
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'"%s"' % csv_class.FORMAT_NAME,
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# Format version (regarding format name)
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csv_class.FORMAT_VERSION,
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# Generated on
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datetime.datetime.now().strftime('%Y%m%d%H%M%S') + '000',
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# Imported on -- stays empty
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'',
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# Origin. Any two symbols, will be replaced by "SV" on import.
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'"EN"',
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# I = Exported by
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'"%s"' % frappe.session.user,
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# J = Imported by -- stays empty
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'',
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# K = Tax consultant number (Beraternummer)
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datev_settings.get('consultant_number', '0000000'),
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# L = Tax client number (Mandantennummer)
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datev_settings.get('client_number', '00000'),
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# M = Start of the fiscal year (Wirtschaftsjahresbeginn)
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frappe.utils.formatdate(frappe.defaults.get_user_default('year_start_date'), 'yyyyMMdd'),
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# N = Length of account numbers (Sachkontenlänge)
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datev_settings.get('account_number_length', '4'),
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# O = Transaction batch start date (YYYYMMDD)
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frappe.utils.formatdate(filters.get('from_date'), 'yyyyMMdd') if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
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# P = Transaction batch end date (YYYYMMDD)
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frappe.utils.formatdate(filters.get('to_date'), 'yyyyMMdd') if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
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# Q = Description (for example, "Sales Invoice") Max. 30 chars
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'"{}"'.format(_(description)) if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
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# R = Diktatkürzel
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'',
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# S = Buchungstyp
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# 1 = Transaction batch (Finanzbuchführung),
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# 2 = Annual financial statement (Jahresabschluss)
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'1' if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
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# T = Rechnungslegungszweck
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# 0 oder leer = vom Rechnungslegungszweck unabhängig
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# 50 = Handelsrecht
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# 30 = Steuerrecht
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# 64 = IFRS
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# 40 = Kalkulatorik
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# 11 = Reserviert
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# 12 = Reserviert
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'0' if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
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# U = Festschreibung
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# TODO: Filter by Accounting Period. In export for closed Accounting Period, this will be "1"
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'0',
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# V = Default currency, for example, "EUR"
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'"%s"' % default_currency if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS else '',
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# reserviert
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'',
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# Derivatskennzeichen
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'',
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# reserviert
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'',
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# reserviert
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'',
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# SKR
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'"%s"' % coa_short_code,
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# Branchen-Lösungs-ID
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'',
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# reserviert
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'',
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# reserviert
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'',
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# Anwendungsinformation (Verarbeitungskennzeichen der abgebenden Anwendung)
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''
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]
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return header
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def download_csv_files_as_zip(csv_data_list):
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"""
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Put CSV files in a zip archive and send that to the client.
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Params:
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csv_data_list -- list of dicts [{'file_name': 'EXTF_Buchunsstapel.zip', 'csv_data': get_datev_csv()}]
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"""
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zip_buffer = BytesIO()
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datev_zip = zipfile.ZipFile(zip_buffer, mode='w', compression=zipfile.ZIP_DEFLATED)
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for csv_file in csv_data_list:
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datev_zip.writestr(csv_file.get('file_name'), csv_file.get('csv_data'))
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datev_zip.close()
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frappe.response['filecontent'] = zip_buffer.getvalue()
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frappe.response['filename'] = 'DATEV.zip'
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frappe.response['type'] = 'binary'
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@ -9,31 +9,91 @@ Provide a report and downloadable CSV according to the German DATEV format.
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"""
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from __future__ import unicode_literals
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import datetime
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import json
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import zipfile
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import six
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import frappe
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import pandas as pd
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from frappe import _
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from csv import QUOTE_NONNUMERIC
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from six import BytesIO
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from six import string_types
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from .datev_constants import DataCategory
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from .datev_constants import Transactions
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from .datev_constants import DebtorsCreditors
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from .datev_constants import AccountNames
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from .datev_constants import QUERY_REPORT_COLUMNS
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from erpnext.regional.germany.utils.datev.datev_csv import download_csv_files_as_zip, get_datev_csv
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from erpnext.regional.germany.utils.datev.datev_constants import Transactions, DebtorsCreditors, AccountNames
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COLUMNS = [
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{
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"label": "Umsatz (ohne Soll/Haben-Kz)",
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"fieldname": "Umsatz (ohne Soll/Haben-Kz)",
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"fieldtype": "Currency",
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"width": 100
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},
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{
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"label": "Soll/Haben-Kennzeichen",
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"fieldname": "Soll/Haben-Kennzeichen",
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"fieldtype": "Data",
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"width": 100
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},
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{
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"label": "Konto",
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"fieldname": "Konto",
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"fieldtype": "Data",
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"width": 100
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},
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{
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"label": "Gegenkonto (ohne BU-Schlüssel)",
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"fieldname": "Gegenkonto (ohne BU-Schlüssel)",
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"fieldtype": "Data",
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"width": 100
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},
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{
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"label": "Belegdatum",
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"fieldname": "Belegdatum",
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"fieldtype": "Date",
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"width": 100
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},
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{
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"label": "Belegfeld 1",
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"fieldname": "Belegfeld 1",
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"fieldtype": "Data",
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"width": 150
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},
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{
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"label": "Buchungstext",
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"fieldname": "Buchungstext",
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"fieldtype": "Text",
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"width": 300
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},
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{
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"label": "Beleginfo - Art 1",
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"fieldname": "Beleginfo - Art 1",
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"fieldtype": "Link",
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"options": "DocType",
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"width": 100
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},
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{
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"label": "Beleginfo - Inhalt 1",
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"fieldname": "Beleginfo - Inhalt 1",
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"fieldtype": "Dynamic Link",
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"options": "Beleginfo - Art 1",
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"width": 150
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},
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{
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"label": "Beleginfo - Art 2",
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"fieldname": "Beleginfo - Art 2",
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"fieldtype": "Link",
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"options": "DocType",
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"width": 100
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},
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{
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"label": "Beleginfo - Inhalt 2",
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"fieldname": "Beleginfo - Inhalt 2",
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"fieldtype": "Dynamic Link",
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"options": "Beleginfo - Art 2",
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"width": 150
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}
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]
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def execute(filters=None):
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"""Entry point for frappe."""
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validate(filters)
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result = get_transactions(filters, as_dict=0)
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columns = QUERY_REPORT_COLUMNS
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return columns, result
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return COLUMNS, get_transactions(filters, as_dict=0)
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def validate(filters):
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@ -240,146 +300,8 @@ def get_account_names(filters):
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""", filters, as_dict=1)
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def get_datev_csv(data, filters, csv_class):
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"""
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Fill in missing columns and return a CSV in DATEV Format.
|
||||
|
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For automatic processing, DATEV requires the first line of the CSV file to
|
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hold meta data such as the length of account numbers oder the category of
|
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the data.
|
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|
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Arguments:
|
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data -- array of dictionaries
|
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filters -- dict
|
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csv_class -- defines DATA_CATEGORY, FORMAT_NAME and COLUMNS
|
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"""
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empty_df = pd.DataFrame(columns=csv_class.COLUMNS)
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data_df = pd.DataFrame.from_records(data)
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result = empty_df.append(data_df, sort=True)
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if csv_class.DATA_CATEGORY == DataCategory.TRANSACTIONS:
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result['Belegdatum'] = pd.to_datetime(result['Belegdatum'])
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if csv_class.DATA_CATEGORY == DataCategory.ACCOUNT_NAMES:
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result['Sprach-ID'] = 'de-DE'
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data = result.to_csv(
|
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# Reason for str(';'): https://github.com/pandas-dev/pandas/issues/6035
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sep=str(';'),
|
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# European decimal seperator
|
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decimal=',',
|
||||
# Windows "ANSI" encoding
|
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encoding='latin_1',
|
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# format date as DDMM
|
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date_format='%d%m',
|
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# Windows line terminator
|
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line_terminator='\r\n',
|
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# Do not number rows
|
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index=False,
|
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# Use all columns defined above
|
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columns=csv_class.COLUMNS,
|
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# Quote most fields, even currency values with "," separator
|
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quoting=QUOTE_NONNUMERIC
|
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)
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if not six.PY2:
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data = data.encode('latin_1')
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header = get_header(filters, csv_class)
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header = ';'.join(header).encode('latin_1')
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# 1st Row: Header with meta data
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# 2nd Row: Data heading (Überschrift der Nutzdaten), included in `data` here.
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# 3rd - nth Row: Data (Nutzdaten)
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return header + b'\r\n' + data
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|
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def get_header(filters, csv_class):
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description = filters.get('voucher_type', csv_class.FORMAT_NAME)
|
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|
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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',
|
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csv_class.DATA_CATEGORY,
|
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'"%s"' % csv_class.FORMAT_NAME,
|
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# 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)
|
||||
},
|
||||
])
|
||||
|
||||
@ -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):
|
||||
|
||||
Loading…
Reference in New Issue
Block a user