new files for beancount 3

.gitignore

@@ -1,6 +1,8 @@
 # Exclude virtual environment directories
+.venv/
 venv/
 Extracted/
+data/
 
 # Exclude other common files
 __pycache__/

config.py

@@ -1,15 +0,0 @@
-# config.py
-
-import sys
-import os
-
-# Voeg de map van dit bestand toe aan de Python-zoekpaden.
-# Dit zorgt ervoor dat je importer gevonden kan worden.
-sys.path.insert(0, os.path.dirname(__file__))
-
-# De importregel hieronder zal nu correct werken
-from postbank_csv_importer import MyCSVImporter
-
-CONFIG = [
-    MyCSVImporter()
-]

import.py

@@ -0,0 +1,14 @@
+from beangulp import register_importers
+from importers.csvbank import Importer as CSVBankImporter
+
+def main():
+    ledger_file = 'ledger.beancount'
+
+    register_importers([
+        CSVBankImporter('Assets:Bank:Checking', 'EUR'),
+    ])
+    from beangulp.testing import main as beangulp_main
+    beangulp_main(ledger_file)
+
+    if __name__ == '__main__':
+        main()

importers/csvbank.py

@@ -0,0 +1,35 @@
+import os
+from beangulp import mimetypes
+from beangulp.importers import csvbase
+from beangulp.testing import main as testing_main
+
+class Importer(csvbase.Importer):
+    # TODO Deutscher CSV header überprüfen: Posting Date ; Description ; Note ; Amount, Balance
+    date = csvbase.Date('Posting Date', '%Y-%m-%d') # ! date-Format anpassen
+    narration = csvbase.Columns('Description', 'Note', sep='; ')
+    amount = csvbase.Amount('Amount')
+    balance = csvbase.Amount('Balance')
+
+""" Date,Posting Date,Description,Note,Amount,Balance
+2025-08-01,2025-08-01,Grocery Store,, -54.20,1245.80
+2025-08-03,2025-08-03,Salary,, 2500.00,3745.80
+ """
+
+    def identify(self, filepath):
+        mimetype, _ = mimetypes.guess_type(filepath)
+        if mimetype != 'text/csv':
+            return false
+        
+        with open(filepath, encoding='utf-8') as f:
+            header = f.readline()
+        # ! TODO
+        return header.startswith('Date, Posting Date, Description, Amount')
+
+    def filename(self, filepath):
+        name = os.path.basename(filepath)
+        return f'csvbank.{name}'
+    
+    # ? Testing
+    __name__ '__main__':
+    # Test-Runner und CLI
+    testing_main(Importer('Assets:Bank:Checking', 'EUR'))

lib64

@@ -1 +0,0 @@
-lib

postbank_csv_importer.py

@@ -1,164 +0,0 @@
-from beancount.ingest import importer
-from beancount.core import data
-from beancount.core.number import D
-
-import csv
-import datetime
-
-class MyCSVImporter(importer.ImporterProtocol):
-    """A Beancount importer for CSV files"""
-
-    def identify(self, file):
-        return file.name.endswith('.csv')
-
-    def file_account(self, file):
-        return "Assets:Bank:PostbankGiro"
-
-    def file_date(self, file):
-        """Returns the unique date of the file, if any."""
-        # Optioneel: als je bestandsnaam een datum bevat
-        return None
-
-    def file_name(self, file):
-        """Returns the unique name of the file, if any."""
-        # Optioneel: als je een unieke naam wilt baseren op het bestand
-        return None
-
-    def extract(self, file, existing_entries=None):
-        """Extracts entries from a files."""
-        entries = []
-
-        # file.contents
-        with open(file.name, encoding='utf-8') as f:
-            csv_reader = csv.reader(f, delimiter=';')
-            # Gebruik enumerate() om een teller (index) te krijgen
-            for index, row in enumerate(csv_reader):
-                if len(row) < 18 or row[17] != "EUR":
-                    continue
-
-                # De index begint bij 0, dus de 12e kolom is index 11.
-                # Boekingsdatum = index 0
-                # Ontvanger = index 3
-                # Omschrijving = index 4
-                # Bedrag = index 11
-                # Valuta = index 17
-                datum_str = row[0]
-                ontvanger = row[3]
-                omschrijving_str = row[4]
-                bedrag_str = row[11]
-                valuta = row[17]
-
-                dag, maand, jaar = datum_str.split('.')
-                transactie_datum = datetime.date(int(jaar), int(maand), int(dag))
-                
-                payee = ontvanger
-                narration = omschrijving_str
-                # Verwijder eerst de duizendtallen-scheidingstekens (de punten)
-                bedrag_str = bedrag_str.replace('.', '')
-                # Vervang daarna de komma door een punt
-                bedrag_str = bedrag_str.replace(',', '.')
-                bedrag = D(bedrag_str)
-                currency = valuta
-
-                meta = data.new_metadata(file.name, index)
-
-                # Bepaal of het een inkomst of uitgave is op basis van het voorteken van het bedrag.
-                if bedrag < D(0):
-                    # Uitgave: bedrag is negatief.
-                    # Geld gaat van de bankrekening naar een uitgavenrekening.
-                    tegenrekening = self._map_payee_to_account(payee + " " + omschrijving_str)
-
-                    #FORMAT: data.Posting(account, units, cost=None, price=None, flag=None, meta=None)
-                    postings = [
-                        #data.Posting(self.file_account(file), bedrag, currency, None, None, None),
-                        data.Posting(self.file_account(file), data.Amount(bedrag, currency), None, None, None, None),
-                        #data.Posting(tegenrekening, -bedrag, currency, None, None, None),
-                        data.Posting(tegenrekening, data.Amount(bedrag, currency), None, None, None, None),
-                    ]
-                else:
-                    # Inkomsten: bedrag is positief.
-                    # Geld gaat van een inkomstenrekening naar de bankrekening.
-                    tegenrekening = self._map_payee_to_account(payee + " " + omschrijving_str)
-
-                    #FORMAT: data.Posting(account, units, cost=None, price=None, flag=None, meta=None)
-                    postings = [
-                        #data.Posting(tegenrekening, -bedrag, currency, None, None, None),
-                        data.Posting(tegenrekening, data.Amount(-bedrag, currency), None, None, None, None),
-                        #data.Posting(self.file_account(file), bedrag, currency, None, None, None),
-                        data.Posting(self.file_account(file), data.Amount(bedrag, currency), None, None, None, None),
-                    ]
-
-                transaction = data.Transaction(
-                    meta=meta,
-                    date=transactie_datum,
-                    flag='*',
-                    payee=payee,
-                    narration=narration,
-                    tags=frozenset(),
-                    links=frozenset(),
-                    postings=postings
-                )
-                
-                entries.append(transaction)
-                
-        return entries
-    
-    def _map_payee_to_account(self, payee):
-        mapping = {
-            #INCOME postings
-            "Lohn": "Income:Salaris",
-            "Gehalt": "Income:Salaris",
-            "Landkreis Meissen":"Income:BasicIncome",
-
-            #EXPENSES postings
-            "Miete": "Expenses:Rent",
-            "Sachsen":"Expenses:Electricity",
-            
-            "Kontoführung":"Expenses:Banking",
-            "AMAZON":"Expenses:Subscriptions",
-            "Allianz":"Expenses:Insurance",
-
-            "Autohof":"Expenses:Driving",
-            "Tankstelle":"Expenses:Driving",
-            "ESSO":"Expenses:Driving",
-            "ARAL":"Expenses:Driving",
-            "Yellowbrick":"Expenses:Driving:Parking",
-            "PH":"Expenses:Driving:Parking", # Narrow down
-            
-            "eBay":"Expenses:Gadgets", # Differentiate
-            "MEDIA MARKT":"Expenses:Gadgets",
-            "Logic Pro":"Expenses:Gadgets",
-
-            "Thomas Klotsche":"Expenses:Household",
-            "POCO":"Expenses:Furniture",
-            "Tapete":"Expenses:Furniture",
-
-            "Deutsche Post AG":"Expenses:Postdelivery",
-            "Echtzeitüberw":"Expenses:Banking",
-            "Apotheke":"Expenses:Drugs",
-            "ALDI":"Expenses:Food",
-            "Lidl":"Expenses:Food",
-            "Bosch":"Expenses:Food", #BOSCH catering
-            "TRANSGOURMET":"Expenses:Food",
-            "Netto Marken":"Expenses:Food",
-            "Rewe":"Expenses:Food",
-            
-            #Creditcards
-            "AMERICAN EXPRESS":"Expenses:Creditcard",
-            "CONSORS":"Expenses:Creditcard",
-
-            #SAVINGS postings
-            "Bitpanda":"Assets:Savings:Trade"
-
-            #DEBTS
-            #"111649731":"Debts:Basic income",
-            # Actually booked from Dutch Account
-            #"Duo studieschuld":"Debts:Student loan (NL)",
-            #"DUO Studienschuld":"Debts:Student loan (NL)",
-            #"Bundeskasse Halle":"Debts:Student loan (DE)"
-        }
-        for sleutelwoord, rekening in mapping.items():
-            if sleutelwoord.lower() in payee.lower():
-                return rekening
-        
-        return "Expenses:Uncategorized"

requirements_beancount3..txt

@@ -1,35 +0,0 @@
-anyio==4.9.0
-babel==2.17.0
-beancount==3.1.0
-beangulp==0.2.0
-beanquery==0.2.0
-beautifulsoup4==4.13.4
-blinker==1.9.0
-chardet==5.2.0
-cheroot==10.0.1
-click==8.2.1
-fava==1.30.5
-Flask==3.1.1
-flask-babel==4.0.0
-idna==3.10
-itsdangerous==2.2.0
-jaraco.functools==4.2.1
-Jinja2==3.1.6
-lxml==6.0.0
-markdown2==2.5.4
-MarkupSafe==3.0.2
-more-itertools==10.7.0
-ply==3.11
-python-dateutil==2.9.0.post0
-python-dotenv==1.1.1
-python-magic==0.4.27
-pytz==2025.2
-regex==2025.7.34
-simplejson==3.20.1
-six==1.17.0
-sniffio==1.3.1
-soupsieve==2.7
-TatSu-LTS==5.13.1
-typing_extensions==4.14.1
-watchfiles==1.1.0
-Werkzeug==3.1.3

test_Path.py.py

@@ -1,7 +0,0 @@
-import sys
-import os
-
-print("Python executable:", sys.executable)
-print("sys.path (zoekpaden):")
-for p in sys.path:
-    print(" ", p)

test_amount_parsing.py

@@ -1,20 +0,0 @@
-import unittest
-from beancount.core.amount import D
-
-class TestAmountParsing(unittest.TestCase):
-
-    def clean_bedrag_str(self, bedrag_str):
-        bedrag_str = bedrag_str.replace('.','')
-        bedrag_str = bedrag_str.replace(',', '.')
-        return bedrag_str
-    
-    # Europese notatie - het werkt dus prima
-    def test_correct_amount_parsing(self):
-        test_bedrag = "1.699,62"
-        expected_decimal = D("1699.62")
-        cleaned_string = self.clean_bedrag_str(test_bedrag)
-        
-        self.assertEqual(D(cleaned_string), expected_decimal)
-
-if __name__ == '__main__':
-    unittest.main()

test_importer.py

@@ -1,33 +0,0 @@
-import os
-from beancount.ingest import importer
-from beancount.core import data
-from beancount.ingest.importers import csv
-from beancount.format import format_entry
-from beancount.ingest import identify
-
-# Een dummy-klasse die een bestand representeert, zoals Beancount dat zou doen.
-class DummyFile:
-    def __init__(self, filename):
-        self.name = filename
-
-from postbank_csv_importer import MyCSVImporter
-importer = MyCSVImporter()
-bestand_pad = 'PostbankGiro_25-01_08.csv'    
-
-# Controleer of de importer het bestand herkent.
-if importer.identify(bestand_pad):
-    print("Importer identified the file. Extracting entries...")  
-    # Roep de extract methode aan om de transacties te verwerken.
-    extracted_entries = importer.extract(bestand_pad)
-else:
-    # We maken een dummy-bestand aan met testdata
-    with open(bestand_pad, 'w', encoding='utf-8') as f:
-        f.write("Datum;Omschrijving;Rekening;Tegenrekening;Bedrag;Valuta\n")
-        f.write("01-01-2025;Boodschappen;Bank;Supermarkt;50.00;EUR\n")
-        f.write("02-01-2025;Salaris;Werkgever;Bank;2500.00;EUR\n")
-        f.write("03-01-2025;Huur;Bank;Huisbaas;750.00;EUR\n")
-        extracted_entries = importer_instance.extract(DummyFile(bestand_pad), None)
-
-print("; Geëxtraheerde transacties:")
-for entry in extracted_entries:
-    print(format_entry(entry))