1991ba7910
* feat: add temporaray against account nmber to datev settings * feat: use temporary against account in datev report * test: add temp against account number to test data * test: include temp against aaccount in filters
363 lines
10 KiB
Python
363 lines
10 KiB
Python
# coding: utf-8
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"""
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Provide a report and downloadable CSV according to the German DATEV format.
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- Query report showing only the columns that contain data, formatted nicely for
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dispay to the user.
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- CSV download functionality `download_datev_csv` that provides a CSV file with
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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 json
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import frappe
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from six import string_types
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from frappe import _
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from erpnext.accounts.utils import get_fiscal_year
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from erpnext.regional.germany.utils.datev.datev_csv import zip_and_download, 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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data = []
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if filters and validate(filters):
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fn = 'temporary_against_account_number'
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filters[fn] = frappe.get_value('DATEV Settings', filters.get('company'), fn)
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data = get_transactions(filters, as_dict=0)
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return COLUMNS, data
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def validate(filters):
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"""Make sure all mandatory filters and settings are present."""
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company = filters.get('company')
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if not company:
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frappe.throw(_('<b>Company</b> is a mandatory filter.'))
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from_date = filters.get('from_date')
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if not from_date:
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frappe.throw(_('<b>From Date</b> is a mandatory filter.'))
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to_date = filters.get('to_date')
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if not to_date:
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frappe.throw(_('<b>To Date</b> is a mandatory filter.'))
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validate_fiscal_year(from_date, to_date, company)
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if not frappe.db.exists('DATEV Settings', filters.get('company')):
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frappe.log_error(_('Please create {} for Company {}.').format(
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'<a href="desk#List/DATEV%20Settings/List">{}</a>'.format(_('DATEV Settings')),
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frappe.bold(filters.get('company'))
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))
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return False
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return True
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def validate_fiscal_year(from_date, to_date, company):
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from_fiscal_year = get_fiscal_year(date=from_date, company=company)
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to_fiscal_year = get_fiscal_year(date=to_date, company=company)
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if from_fiscal_year != to_fiscal_year:
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frappe.throw(_('Dates {} and {} are not in the same fiscal year.').format(from_date, to_date))
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def get_transactions(filters, as_dict=1):
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"""
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Get a list of accounting entries.
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Select GL Entries joined with Account and Party Account in order to get the
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account numbers. Returns a list of accounting entries.
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Arguments:
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filters -- dict of filters to be passed to the sql query
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as_dict -- return as list of dicts [0,1]
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"""
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filter_by_voucher = 'AND gl.voucher_type = %(voucher_type)s' if filters.get('voucher_type') else ''
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gl_entries = frappe.db.sql("""
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SELECT
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/* either debit or credit amount; always positive */
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case gl.debit when 0 then gl.credit else gl.debit end as 'Umsatz (ohne Soll/Haben-Kz)',
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/* 'H' when credit, 'S' when debit */
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case gl.debit when 0 then 'H' else 'S' end as 'Soll/Haben-Kennzeichen',
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/* account number or, if empty, party account number */
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acc.account_number as 'Konto',
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/* against number or, if empty, party against number */
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%(temporary_against_account_number)s as 'Gegenkonto (ohne BU-Schlüssel)',
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gl.posting_date as 'Belegdatum',
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gl.voucher_no as 'Belegfeld 1',
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LEFT(gl.remarks, 60) as 'Buchungstext',
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gl.voucher_type as 'Beleginfo - Art 1',
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gl.voucher_no as 'Beleginfo - Inhalt 1',
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gl.against_voucher_type as 'Beleginfo - Art 2',
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gl.against_voucher as 'Beleginfo - Inhalt 2'
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FROM `tabGL Entry` gl
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/* Kontonummer */
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left join `tabAccount` acc
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on gl.account = acc.name
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WHERE gl.company = %(company)s
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AND DATE(gl.posting_date) >= %(from_date)s
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AND DATE(gl.posting_date) <= %(to_date)s
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{}
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ORDER BY 'Belegdatum', gl.voucher_no""".format(filter_by_voucher), filters, as_dict=as_dict)
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return gl_entries
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def get_customers(filters):
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"""
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Get a list of Customers.
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Arguments:
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filters -- dict of filters to be passed to the sql query
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"""
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return frappe.db.sql("""
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SELECT
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acc.account_number as 'Konto',
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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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UPPER(country.code) as 'Land',
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adr.address_line2 as 'Adresszusatz',
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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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FROM `tabParty Account` par
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left join `tabAccount` acc
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on acc.name = par.account
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left join `tabCustomer` cus
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on cus.name = par.parent
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left join `tabAddress` adr
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on adr.name = cus.customer_primary_address
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left join `tabCountry` country
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on country.name = adr.country
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left join `tabContact` con
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on con.name = cus.customer_primary_contact
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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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def get_suppliers(filters):
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"""
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Get a list of Suppliers.
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Arguments:
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filters -- dict of filters to be passed to the sql query
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"""
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return frappe.db.sql("""
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SELECT
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acc.account_number as 'Konto',
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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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UPPER(country.code) as 'Land',
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adr.address_line2 as 'Adresszusatz',
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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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sup.website as 'Internet',
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sup.tax_id as 'Steuernummer',
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case sup.on_hold when 1 then sup.release_date else null end as 'Zahlungssperre bis'
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FROM `tabParty Account` par
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left join `tabAccount` acc
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on acc.name = par.account
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left join `tabSupplier` sup
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on sup.name = par.parent
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left join `tabDynamic Link` dyn_adr
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on dyn_adr.link_name = sup.name
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and dyn_adr.link_doctype = 'Supplier'
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and dyn_adr.parenttype = 'Address'
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left join `tabAddress` adr
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on adr.name = dyn_adr.parent
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and adr.is_primary_address = '1'
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left join `tabCountry` country
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on country.name = adr.country
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left join `tabDynamic Link` dyn_con
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on dyn_con.link_name = sup.name
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and dyn_con.link_doctype = 'Supplier'
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and dyn_con.parenttype = 'Contact'
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left join `tabContact` con
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on con.name = dyn_con.parent
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and con.is_primary_contact = '1'
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WHERE par.company = %(company)s
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AND par.parenttype = 'Supplier'""", filters, as_dict=1)
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def get_account_names(filters):
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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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@frappe.whitelist()
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def download_datev_csv(filters):
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"""
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Provide accounting entries for download in DATEV format.
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Validate the filters, get the data, produce the CSV file and provide it for
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download. Can be called like this:
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GET /api/method/erpnext.regional.report.datev.datev.download_datev_csv
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Arguments / Params:
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filters -- dict of filters to be passed to the sql query
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"""
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if isinstance(filters, string_types):
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filters = json.loads(filters)
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validate(filters)
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company = filters.get('company')
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fiscal_year = get_fiscal_year(date=filters.get('from_date'), company=company)
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filters['fiscal_year_start'] = fiscal_year[1]
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# set chart of accounts used
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coa = frappe.get_value('Company', 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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datev_settings = frappe.get_doc('DATEV Settings', company)
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filters['account_number_length'] = datev_settings.account_number_length
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filters['temporary_against_account_number'] = datev_settings.temporary_against_account_number
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transactions = get_transactions(filters)
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account_names = get_account_names(filters)
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customers = get_customers(filters)
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suppliers = get_suppliers(filters)
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zip_name = '{} DATEV.zip'.format(frappe.utils.datetime.date.today())
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zip_and_download(zip_name, [
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{
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'file_name': 'EXTF_Buchungsstapel.csv',
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'csv_data': get_datev_csv(transactions, filters, csv_class=Transactions)
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},
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{
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'file_name': 'EXTF_Kontenbeschriftungen.csv',
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'csv_data': get_datev_csv(account_names, filters, csv_class=AccountNames)
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},
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{
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'file_name': 'EXTF_Kunden.csv',
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'csv_data': get_datev_csv(customers, filters, csv_class=DebtorsCreditors)
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},
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{
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'file_name': 'EXTF_Lieferanten.csv',
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'csv_data': get_datev_csv(suppliers, filters, csv_class=DebtorsCreditors)
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},
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])
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