========================================= ``irfpy.aspera`` stable version on Docker ========================================= The stable version of the Dockerfile is at https://irfpy.irf.se/projects/aspera/Dockerfile Create an image --------------- To create an image, you can use the command .. code-block:: sh docker build -t irfpy/aspera https://irfpy.irf.se/projects/aspera/Dockerfile Running ipython --------------- To run the container, you may need to optimize some parameters. - ``data_location``: The location where irfpy dataset is stored. - ``local_work_directory``: The local working directory. .. code-block:: sh docker run -it \ -v <data_location>:/Volumes/scidata/data \ -v <local_work_directory>:/notebooks irfpy/aspera \ ipython For example, you may use .. code-block:: sh docker run -it --rm \ -v /Volumes/scidata256/data:/Volumes/scidata/data \ -v $(pwd):/notebooks irfpy/aspera \ ipython Then ipython is launched. .. code-block:: python In [1]: import irfpy.aspera In [2]: print(irfpy.aspera.__version__) 4.3.14 Running Jupyter Notebook ------------------------ To run the Jupyter notebook, one should also specify the local port to be opened. - local_port: The listening port for Jupyter. .. code-block:: sh docker run --rm -it \ -p <local_port>:8888 \ -v <data_location>:/Volumes/scidata/data \ -v <local_work_directory>:/notebooks irfpy/aspera \ bash -c "/opt/conda/bin/jupyter notebook --notebook-dir=/notebooks --ip=0.0.0.0 --port=8888 --no-browser --allow-root" For example, .. code-block:: sh docker run --rm -it \ -p 8888:8888 \ -v /Volumes/scidata256/data:/Volumes/scidata/data \ -v $(pwd):/notebooks irfpy/aspera \ bash -c "/opt/conda/bin/jupyter notebook --notebook-dir=/notebooks --ip=0.0.0.0 --port=8888 --no-browser --allow-root" Then, you can connect to the localhost with the specified local port: http://127.0.0.1:8888/?token=6a39e5adb9c49093cf589015af14a36e102ad81cf62f98ad Note that the token changes every time.