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datareport-0.1.7


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توضیحات

Tool to combine YAML datasets with Jinja2-based templates.
ویژگی مقدار
سیستم عامل -
نام فایل datareport-0.1.7
نام datareport
نسخه کتابخانه 0.1.7
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Dennis Terhorst
ایمیل نویسنده d.terhorst@fz-juelich.de
آدرس صفحه اصلی https://github.com/INM-6/datareport
آدرس اینترنتی https://pypi.org/project/datareport/
مجوز BSD
# 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.


نحوه نصب


نصب پکیج whl datareport-0.1.7:

    pip install datareport-0.1.7.whl


نصب پکیج tar.gz datareport-0.1.7:

    pip install datareport-0.1.7.tar.gz