beancount-ing 1.0.0

Creator: codyrutscher

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Description:

beancounting 1.0.0

Beancount ING Importer




beancount-ing provides an Importer for converting CSV exports of
ING (Germany) account summaries to the Beancount format.
Installation
$ pip install beancount-ing

In case you prefer installing from the Github repository, please note that
main is the development branch so stable is what you should be installing
from.
Note that v1.x will only work with Beancount 3.x, while v0.x will only work with
Beancount 2.x, due to incompatibilities between Beancount 3.x and 2.x.
Usage
If you're not familiar with how to import external data into Beancount, please
read this guide first.
Beancount 3.x
Beancount 3.x has replaced the config.py file based workflow in favor of having a
script based workflow, as per the changes documented here. As a result, the importer's
initialization parameters have been shifted to pyproject.toml.
Add the following to your pyproject.toml in your project root.
[tool.beancount-ing.ec]
iban = "DE99 9999 9999 9999 9999 99"
account_name = "Assets:ING:EC"
user = "Erika Mustermann"
file_encoding = "ISO-8859-1" # optional

Run beancount-ing-ec to call the EC importer. The identify and extract subcommands
would identify the file and extract transactions for you.
$ beancount-ing-ec extract transaction.csv >> you.beancount

Beancount 2.x
Adjust your config file to include the provided ECImporter. A sample configuration
might look like the following:
from beancount_ing import ECImporter

CONFIG = [
# ...

ECImporter(
IBAN_NUMBER,
"Assets:ING:EC",
"Erika Mustermann",
file_encoding="ISO-8859-1",
),

# ...
]

Once this is in place, you should be able to run bean-extract on the command
line to extract the transactions and pipe all of them into your Beancount file.
$ bean-extract /path/to/config.py transaction.csv >> you.beancount

Contributing
Contributions are most welcome!
Please make sure you have Python 3.8+ and Poetry installed.

Clone the repository: git clone https://github.com/siddhantgoel/beancount-ing
Install the packages required for development: poetry install
That's basically it. You should now be able to run the test suite: poetry run pytest tests/.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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