============= Introduction ============= .. image:: https://img.shields.io/readthedocs/panaetius?style=for-the-badge .. image:: https://img.shields.io/github/v/tag/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge .. image:: https://img.shields.io/github/commit-activity/m/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge .. image:: https://img.shields.io/github/issues/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge .. image:: https://img.shields.io/github/license/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge .. image:: https://img.shields.io/github/languages/code-size/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge .. image:: https://img.shields.io/github/languages/top/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge .. image:: https://img.shields.io/requires/github/dtomlinson91/musicbrainzapi-cv-airelogic?style=for-the-badge Summary ======== 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. 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. The module (currently) provides a simple CLI with some underlying assumptions: - We are interested in albums only - no singles. - 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. - Where an album has been released multiple times, in different regions, we take the album with the longest track list. These assumptions are not configurable in the current version - but this functionality could be added to the module if needed. Further information, and a brief summary of decisions taken and current caveats can be found in the documentation which is linked below. Documentation ============= The documentation for the module can be found at https://musicbrainzapi-cv-airelogic.readthedocs.io/en/latest/ Installation ============ You will need ``python>=3.7``. Installation to a python virtual environment is recommended. PIP --- Download the latest release ``.whl`` file from the `releases`_ page .. _releases: https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic/releases In a virtual environment run: .. code-block:: bash pip install -U musicbrainzapi.whl Replacing ``musicbrainzapi.whl`` with the filename you downloaded. setup.py -------- Clone the repo: .. code-block:: bash git clone https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic.git In the root of the repo in a virtual environment run: .. code-block:: bash python ./setup.py install Docker ------ .. 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. 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. Clone the repo: .. code-block:: bash git clone https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic.git In the root of the repo build the Docker image: .. code-block:: bash docker build . -t musicbrainzapi No entrypoint is provided in the ``Dockerfile`` - you will have to specify the command at runtime and run the container in interactive mode: Using Docker run ^^^^^^^^^^^^^^^^ .. code-block:: bash docker run --rm -it --volume=$(pwd):/outputs \ musicbrainzapi:latest musicbrainzapi --path /outputs \ lyrics -a "Savage Garden" -c gb --show-summary all --save-output Usage ===== Once installed you can access the command running: .. code-block:: bash musicbrainzapi To see all options available you can run: .. code-block:: bash musicbrainzapi --help In the current release there is one command available ``lyrics``: .. code-block:: bash musicbrainzapi lyrics --help License information =================== Released under the `MIT License`_ .. _MIT License: https://github.com/dtomlinson91/musicbrainzapi-cv-airelogic/blob/master/LICENSE