datareport 0.1.7
# Reporter
This tool helps in gathering and formatting of data into a report. The tool
reporter.py 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](http://pandoc.org)
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](https://snakemake.readthedocs.io/en/stable/) 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 https://test.pypi.org/simple 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/README.md) 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!
[Jinja2](http://jinja.pocoo.org/docs/2.10/) (→ [templating
language](http://jinja.pocoo.org/docs/2.10/templates/))
[Snakemake](https://pypi.org/project/snakemake/) (→ [writing
rules](https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html))
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:
YAML (→ [specification](http://yaml.org/spec/)) and the
[ruamel.yaml](https://yaml.readthedocs.io/en/latest/basicuse.html)
package.
JSON (→ [specification](https://json.org/))
# 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](https://docs.pytest.org/en/latest/)
with tests defined in the [tests/](tests/) sudirectory. It is added into the
setuptools config, so that it can be run with
python setup.py test
This automatically tests a temporarily packaged version.
Alternatively you can run pytest manually with all it [glory
details](https://docs.pytest.org/en/latest/usage.html).
## Releases
The release workflow is mostly automated and is in the [release/](release/)
folder.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
There are no reviews.