updating README and CHANGELOG
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README.rst
121
README.rst
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musicbrainzapi
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===============
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=============
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Introduction
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=============
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.. image:: https://img.shields.io/readthedocs/panaetius?style=for-the-badge :target: https://panaetius.readthedocs.io/en/latest/?badge=latest
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:alt: Documentation Status
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@@ -17,3 +18,119 @@ musicbrainzapi
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.. image:: https://img.shields.io/github/languages/top/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge :alt: GitHub top language
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.. image:: https://img.shields.io/requires/github/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge :alt: Requires.io
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Summary
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========
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Musicbrainzapi is a Python module with a CLI that allows you to search for an artist and receive summary statistics on lyrics across all albums + tracks.
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In addition to basic statistics the module further allows you to save details of an artist. You can save album information, the lyrics themselves and track lists.
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The module (currently) provides a simple CLI with some underlying assumptions:
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- We are interested in albums only - no singles.
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- We are interested in any album where the artist is listed as a primary artist on a release. This could include compilations or joint albums with other artists.
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- Where an album has been released multiple times, in different regions, we take the album with the longest track list.
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These assumptions are not configurable in the current version - but this functionality could be added to the module if needed.
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Further information, and a brief summary of decisions taken and current caveats can be found in the documentation which is linked below.
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Documentation
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=============
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The documentation for the module can be found at https://musicbrainzapi-cv-airelogic.readthedocs.io/en/latest/
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Installation
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============
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You will need ``python>=3.7``. Installation to a python virtual environment is recommended.
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PIP
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---
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Download the latest release ``.whl`` file from the `releases`_ page
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.. _releases: https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic/releases
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In a virtual environment run:
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.. code-block:: bash
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pip install -U musicbrainzapi.whl
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Replacing ``musicbrainzapi.whl`` with the filename you downloaded.
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setup.py
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--------
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Clone the repo:
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.. code-block:: bash
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git clone https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic.git
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In the root of the repo in a virtual environment run:
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.. code-block:: bash
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python ./setup.py install
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Docker
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------
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.. note:: Using Docker will mean you cannot view a wordcloud, as the default behaviour is to show the plot interactively which the container cannot do.
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If you don't have ``python>=3.7`` installed, or would rather use Docker, you can build a Docker image and run the module using Docker.
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Clone the repo:
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.. code-block:: bash
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git clone https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic.git
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In the root of the repo build the Docker image:
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.. code-block:: bash
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docker build . -t musicbrainzapi
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No entrypoint is provided in the ``Dockerfile`` - you will have to specify the command at runtime and run the container in interactive mode:
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Using Docker run
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^^^^^^^^^^^^^^^^
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.. code-block:: bash
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docker run --rm -it --volume=$(pwd):/outputs \
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musicbrainzapi:latest musicbrainzapi --path /outputs \
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lyrics -a "Savage Garden" -c gb --show-summary all --save-output
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Usage
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=====
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Once installed you can access the command running:
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.. code-block:: bash
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musicbrainzapi
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To see all options available you can run:
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.. code-block:: bash
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musicbrainzapi --help
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In the current release there is one command available ``lyrics``:
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.. code-block:: bash
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musicbrainzapi lyrics --help
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License information
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===================
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Released under the `MIT License`_
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.. _MIT License: https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic/blob/master/LICENSE
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