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Tool to combine YAML datasets with Jinja2-based templates.

Project description

# Reporter

This tool helps in gathering and formatting of data into a report. The tool basically combines YAML data files with Jinja2-based templates. In this way simple markup versions of your report can be produced. Together with a format converter like [Pandoc]( the produced output can then be converted to various target formats (HTML, PDF, …).

To keep a good overview which data is acquired for different parts of the report, it is probably a good step to automate the whole workflow with a tool like [snakemake]( or other make-like tools.

# Install

The fastest way to install datareport is to use your systems tools:

pip install datareport

To use the latest test version check out the test.pypi server:

pip install –index-url datareport

## Requirements

All required packages are listed in environment.yaml. In case you installed datareport via a package management system like pip, anaconda, miniconda, … all dependencies should already be installed automatically.

# Getting Started

For easing your first steps with datareport a small set of [documented examples](examples/ can be found in the examples/ folder. The README file gives an overview and you can find the right place to start.

## Further reading

For designing reports you need to know about the templating language and since you will want to use some automation for the reporting process, also a make-like tool is very helpful. Look at the excellent snakemake for that!

As data inputs you can use different formats. For understanding the details about each format you find a lot of information on the web, especially:

# Developing datareport

Contributions are very welcome! Write issues for feature requests or directly file a pull-request with your contribution and/or contact me directly!

## Tests

This project uses the [PyTest framework]( with tests defined in the [tests/](tests/) sudirectory. It is added into the setuptools config, so that it can be run with

python test

This automatically tests a temporarily packaged version.

Alternatively you can run pytest manually with all it [glory details](

## Releases

The release workflow is mostly automated and is in the [release/](release/) folder.

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