csv2docx

Generates .docx files from .csv files using a .docx template with mailmerge fields.

Installing

Poetry is used for dependency management and pyenv to manage python installations. Install dependencies via:

poetry install --no-dev

To setup a virtual environment with your local pyenv version run:

poetry shell

Usage

Microsoft Word is used to generate the .docx and should be installed on your machine.

Library

To import and use the library in your code:

from csv2docx import csv2docx
csv2docx.convert(template="tests/data/example.docx", data="tests/data/example.csv", name="NAME")

By default the delimiter is ";", but this can be changed to mirror your CSV file:

csv2docx.convert(template="tests/data/example.docx", data="tests/data/example.csv", name="NAME", delimiter=",")

Exceptions

The .convert() methods returns True when successful, and throws a KeyError or ValueError if a (resolved) argument is found not to be valid.

CLI

poetry run convert --data "path/to/data.csv" --template "path/to/template.docx" --name csv_column_name

Where the arguments are your Microsoft Word template (.docx), your data to apply to the template (.csv) and the column name (case sensitive) to generate filenames for the output .docx files. Optional arguments allow you to indicate a delimiter other than ; in your csv data file, and an ouput folder other than the default output in the current directory:

poetry run convert -t template.docx -c data.csv -n csv_column_name -d ","  # indicate a delimiter if other than ";"
poetry run convert -t template.docx -c data.csv -n csv_column_name -p output_folder  # indicate an output folder
poetry run convert --template template.docx --data data.csv --name csv_column_name --path output_folder --delimiter ","  # long alternative

For help, run

poetry run convert --help

For a demo, run

poetry run convert -t tests/data/example.docx -c tests/data/example.csv -n NAME

Prepare your .docx template and .csv data file

In your Microsoft Word .docx document of choice, used the menu bar to navigate to Insert and select Field. Choose the Mail Merge category, and the MergeField name. Next to the field code showing MERGFIELD enter the name of the data that should go here (e.g. a column name if already known). For example, MERGEFIELD FIRSTNAME. Under options, you can set additional formatting, such as capitalisation. In the document you should now see your field as <<FIRSTNAME>> Keep adding fields as necessary, making sure each field has a unique name. See Microsoft's documentation for more details.

In your .csv data file, ensure that each field in the .docx template is represented by a column in the column header and CAPITALISED.

Contributing to code

To contribute to this repository, first install all developer dependencies used (note the ommitted --no-dev from above) and set up pre-commit by running:

poetry install
poetry run pre-commit install

Run linting and tests to see if all went well:

$ poetry run nox -r

Nox is used for automation and standardisation of tests, type hints, automatic code formatting, and linting. Any contribution needs to pass these tests before creating a Pull Request. The command above will check code formatting (using flake8), dependency safety and unit tests (using pytest and coverage).

With pre-commit set up as above, any code committed will be run past a few tests, see the pre-commit configuration file. You can also run these test without a commit using:

poetry run pre-commit run --all-files

Pull requests

When submitting a pull requests (e.g. using your fork of this repo), your code must be accompanied by corresponding tests by creating a new file (e.g. test_new_function.py) in /tests/. If tests are not present your code will not be merged.