ledger_importer is a csv-to-ledger importer that can be configured in Python.
Project description
ledger_importer
ledger_importer is a csv-to-ledger importer that can be configured in Python.
The key features are:
- Customization: Designed to fit your specific needs perfectly.
- Auto-completion: The confirmation step is auto-completed.
- Integration: Easy to integrate with your pipeline.
ledger_importer main selling point is that if you know Python, you can write complex rules to match & parse accounts / target_accounts. All other tools try to be smart about the target_account matching part but offer very little customization (regex matching is the best I've seen).
Another cool feature is that if you have several bank accounts, you can concatenate their csv exports and ledger_importer will de-duplicate transactions between them. The de-duplication rule can be customized to your needs.
Installation
$ pip install ledger-importer
Configure
ledger_importer works by using the configuration file as the entrypoint. The ledger_importer.runner
function is the function that should be called when you want to run the program.
The runner
function takes a Config as the first argument.
A Config instance can be created by creating a new class that inherits ledger_importer.runner
. This new class must implement the following methods:
parse_date(self, fields: tuple) -> datetime.datetime
parse_payee(self, fields: tuple) -> str
parse_postings(self, fields: tuple) -> list[Posting]
The argument fields: tuple
will be the csv row, with each column as an element of the tuple.
Example configuration file:
#!/usr/bin/env python
from __future__ import annotations
import datetime
import re
from decimal import Decimal
from ledger_importer import Config, runner, Posting, Amount
# Custom ledger importer configuration
class LedgerImporterConfig(Config):
# Define the number of lines that needs to be skipped at the beginning of the file.
# This is usefull if the csv has a line with the column names for example.
skip_lines: int = 1
# Define the csv delimiter
csv_delimiter: str = ";"
# The argument `fields` given in all parse_* methods contains a whole csv row in a tuple
# Each element of the tuple is a string representation of the column
def parse_date(self, fields: tuple) -> datetime.datetime:
return datetime.datetime.strptime(fields[0], "%m-%d-%Y")
def parse_payee(self, fields: tuple) -> str:
return fields[2]
def parse_postings(self, fields: tuple) -> list[Posting]:
amount = Amount(quantity=Decimal(re.sub("[€ ]", "", fields[3]).replace(",", ".")), commodity="€")
if amount > 0:
account = "Income"
else:
account = "Expenses"
posting = Posting(account="Assets:Checking", amount=amount)
# A Transaction should be at least 2 postings that have reversed amounts
return [posting, Posting(account=account, amount=amount.reverse())]
# The next lines are required to run ledger_importer
# when the config file is executed.
if __name__ == "__main__":
runner(LedgerImporterConfig())
Run
To run leger_importer, run the configuration module:
$ python my_importer.py bank-statement.csv --journal-path journal.ledger
| Account | Date | Amount | Payee |
| Assets:Account:Florent | 2021/07/29 | 1234.56€ | VIR LOLE FOOB A.R.L |
Which account provided this income? ([Income:Salary]/[q]uit/[s]kip)
| Account | Date | Amount | Payee |
| Assets:Account:Florent | 2021/08/02 | -11.77€ | CARD 27/07/21 SWILE XX*XXXX |
To which account did this money go? ([Expenses:Restaurant]/[q]uit/[s]kip)
| Account | Date | Amount | Payee |
| Assets:Account:Florent | 2021/08/03 | -784.00€ | VIR Save some € Mr. Florent |
To which account did this money go? ([Expenses]/[q]uit/[s]kip)
Assets:Savings
| Account | Date | Amount | Payee |
| Assets:Account:Florent | 2021/08/03 | -58.63€ | CARD 08/03/21 PAYPAL XX*XXXX |
To which account did this money go? ([Expenses:Shopping]/[q]uit/[s]kip)
q
Usage
A sample configuration can be generated:
python -m ledger_importer > my_importer.py
The configuration can be run directly:
$ python my_importer.py --help
Usage: my_config.py [OPTIONS] CSV_PATH
Import a bank statement.
Arguments:
CSV_PATH Path to the bank statement to import. [required]
Options:
--journal-path PATH Path a ledger journal to write & learn
accounts from.
--quiet / --no-quiet Don't ask questions and guess all the
accounts automatically. [default: no-quiet]
--help Show this message and exit.
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