Merge pull request #22487 from frappe/mergify/bp/version-13-beta-pre-release/pr-21690
fix(regional): DATEV report (bp #21690)
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commit
23c64c0b3a
@ -8,17 +8,18 @@ Provide a report and downloadable CSV according to the German DATEV format.
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all required columns. Used to import the data into the DATEV Software.
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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 zlib
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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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import frappe
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from frappe import _
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import pandas as pd
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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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@ -130,8 +131,10 @@ def get_customers(filters):
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SELECT
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acc.account_number as 'Konto',
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cus.customer_name as 'Name (Adressatentyp Unternehmen)',
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case cus.customer_type when 'Individual' then 1 when 'Company' then 2 else 0 end as 'Adressatentyp',
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CASE cus.customer_type WHEN 'Company' THEN cus.customer_name ELSE null END as 'Name (Adressatentyp Unternehmen)',
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CASE cus.customer_type WHEN 'Individual' THEN con.last_name ELSE null END as 'Name (Adressatentyp natürl. Person)',
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CASE cus.customer_type WHEN 'Individual' THEN con.first_name ELSE null END as 'Vorname (Adressatentyp natürl. Person)',
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CASE cus.customer_type WHEN 'Individual' THEN '1' WHEN 'Company' THEN '2' ELSE '0' end as 'Adressatentyp',
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adr.address_line1 as 'Straße',
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adr.pincode as 'Postleitzahl',
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adr.city as 'Ort',
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@ -140,8 +143,7 @@ def get_customers(filters):
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con.email_id as 'E-Mail',
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coalesce(con.mobile_no, con.phone) as 'Telefon',
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cus.website as 'Internet',
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cus.tax_id as 'Steuernummer',
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ccl.credit_limit as 'Kreditlimit (Debitor)'
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cus.tax_id as 'Steuernummer'
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FROM `tabParty Account` par
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@ -160,10 +162,6 @@ def get_customers(filters):
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left join `tabContact` con
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on con.name = cus.customer_primary_contact
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left join `tabCustomer Credit Limit` ccl
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on ccl.parent = cus.name
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and ccl.company = par.company
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WHERE par.company = %(company)s
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AND par.parenttype = 'Customer'""", filters, as_dict=1)
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@ -179,8 +177,10 @@ def get_suppliers(filters):
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SELECT
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acc.account_number as 'Konto',
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sup.supplier_name as 'Name (Adressatentyp Unternehmen)',
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case sup.supplier_type when 'Individual' then '1' when 'Company' then '2' else '0' end as 'Adressatentyp',
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CASE sup.supplier_type WHEN 'Company' THEN sup.supplier_name ELSE null END as 'Name (Adressatentyp Unternehmen)',
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CASE sup.supplier_type WHEN 'Individual' THEN con.last_name ELSE null END as 'Name (Adressatentyp natürl. Person)',
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CASE sup.supplier_type WHEN 'Individual' THEN con.first_name ELSE null END as 'Vorname (Adressatentyp natürl. Person)',
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CASE sup.supplier_type WHEN 'Individual' THEN '1' WHEN 'Company' THEN '2' ELSE '0' end as 'Adressatentyp',
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adr.address_line1 as 'Straße',
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adr.pincode as 'Postleitzahl',
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adr.city as 'Ort',
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@ -226,9 +226,18 @@ def get_suppliers(filters):
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def get_account_names(filters):
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return frappe.get_list("Account",
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fields=["account_number as Konto", "name as Kontenbeschriftung"],
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filters={"company": filters.get("company"), "is_group": "0"})
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return frappe.db.sql("""
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SELECT
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account_number as 'Konto',
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LEFT(account_name, 40) as 'Kontenbeschriftung',
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'de-DE' as 'Sprach-ID'
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FROM `tabAccount`
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WHERE company = %(company)s
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AND is_group = 0
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AND account_number != ''
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""", filters, as_dict=1)
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def get_datev_csv(data, filters, csv_class):
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@ -287,9 +296,7 @@ def get_datev_csv(data, filters, csv_class):
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def get_header(filters, csv_class):
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coa = frappe.get_value("Company", filters.get("company"), "chart_of_accounts")
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description = filters.get("voucher_type", csv_class.FORMAT_NAME)
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coa_used = "04" if "SKR04" in coa else ("03" if "SKR03" in coa else "")
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description = filters.get('voucher_type', csv_class.FORMAT_NAME)
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header = [
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# DATEV format
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@ -316,19 +323,19 @@ def get_header(filters, csv_class):
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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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frappe.get_value("DATEV Settings", filters.get("company"), "consultant_number"),
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filters.get('consultant_number', '0000000'),
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# L = Tax client number (Mandantennummer)
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frappe.get_value("DATEV Settings", filters.get("company"), "client_number"),
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filters.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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'4',
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'%d' % filters.get('acc_len', 4),
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# O = Transaction batch start date (YYYYMMDD)
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frappe.utils.formatdate(filters.get('from_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"),
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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)),
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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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@ -343,12 +350,12 @@ def get_header(filters, csv_class):
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# 40 = Kalkulatorik
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# 11 = Reserviert
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# 12 = Reserviert
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'0',
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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"' % frappe.get_value("Company", filters.get("company"), "default_currency"),
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'"%s"' % filters.get('default_currency', 'EUR') 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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@ -358,7 +365,7 @@ def get_header(filters, csv_class):
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# reserviert
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'',
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# SKR
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'"%s"' % coa_used,
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'"%s"' % filters.get('skr', '04'),
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# Branchen-Lösungs-ID
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'',
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# reserviert
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@ -389,6 +396,18 @@ def download_datev_csv(filters=None):
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validate(filters)
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# set chart of accounts used
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coa = frappe.get_value('Company', filters.get('company'), 'chart_of_accounts')
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filters['skr'] = '04' if 'SKR04' in coa else ('03' if 'SKR03' in coa else '')
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# set account number length
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account_numbers = frappe.get_list('Account', fields=['account_number'], filters={'is_group': 0, 'account_number': ('!=', '')})
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filters['acc_len'] = max([len(a.account_number) for a in account_numbers])
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filters['consultant_number'] = frappe.get_value('DATEV Settings', filters.get('company'), 'consultant_number')
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filters['client_number'] = frappe.get_value('DATEV Settings', filters.get('company'), 'client_number')
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filters['default_currency'] = frappe.get_value('Company', filters.get('company'), 'default_currency')
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# This is where my zip will be written
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zip_buffer = BytesIO()
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# This is my zip file
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@ -465,60 +465,71 @@ QUERY_REPORT_COLUMNS = [
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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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"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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"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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"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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"options": "Beleginfo - Art 2",
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"width": 150
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}
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]
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