Skip to main content

ledger_importer is a csv-to-ledger importer that can be configured in Python.

Project description

ledger_importer CircleCI

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_description(self, fields: tuple) -> str
  • parse_amount(self, fields: tuple) -> Decimal
  • format_amount(self, amount: Decimal) -> str
  • parse_target_account(self, fields: tuple) -> str
  • parse_account(self, fields: tuple) -> str

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

# 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

    # 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_description(self, fields: tuple) -> str:
        return fields[2]

    def parse_amount(self, fields: tuple) -> Decimal:
        return Decimal(re.sub("[€$, ]", "", fields[3]))

    def format_amount(self, amount: Decimal) -> str:
        return f"${amount}"

    def parse_target_account(self, fields: tuple) -> str:
        if self.parse_amount(fields) > 0:
            return "Income"

        return "Expenses"

    def parse_account(self, fields: tuple) -> str:
        return "Assets:Checking"


# 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:

```sh
$ python my_importer.py bank-statement.csv --journal-path journal.ledger

|        Account         |    Date    |  Amount  |     Description     |
| 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 |         Description          |
| 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  |               Description               |
| 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 |          Description          |
| 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

$ python my_importer.py --help
Usage: my_importer.py [OPTIONS] CSV_PATH

Arguments:
  CSV_PATH  Path to the bank statement to import.  [required]

Options:
  --journal-path PATH             Path a ledger journal to write & learn
                                  accounts from.
  --install-completion [bash|zsh|fish|powershell|pwsh]
                                  Install completion for the specified shell.
  --show-completion [bash|zsh|fish|powershell|pwsh]
                                  Show completion for the specified shell, to
                                  copy it or customize the installation.
  --help                          Show this message and exit.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ledger_importer-0.3.0.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

ledger_importer-0.3.0-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file ledger_importer-0.3.0.tar.gz.

File metadata

  • Download URL: ledger_importer-0.3.0.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.11 CPython/3.8.10 Linux/5.13.0-40-generic

File hashes

Hashes for ledger_importer-0.3.0.tar.gz
Algorithm Hash digest
SHA256 84e2769a6f43bf6353bf473a08aa0a90a66b9d4199fd6b460fca961965ed3102
MD5 2ebd499c3db9c2113ebdfd339926379f
BLAKE2b-256 e3fb4f52c14cd69df04cf33f612301dc7fc2f7582fa109f4e924e0f8d8b22f37

See more details on using hashes here.

File details

Details for the file ledger_importer-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: ledger_importer-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 7.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.11 CPython/3.8.10 Linux/5.13.0-40-generic

File hashes

Hashes for ledger_importer-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3700fbfaccc38e85672193ed70e368e05700a19535c1268cde8f003c31fd94f9
MD5 2a92147eb538c6e30ff691789e0b29c7
BLAKE2b-256 3b4c4f7abd3312e4434557a45d30617b5c3c0f3bb55fb8eb40198257ff95da24

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page