kopia lustrzana https://github.com/jupyterhub/repo2docker
51 wiersze
2.3 KiB
ReStructuredText
51 wiersze
2.3 KiB
ReStructuredText
.. _export-environment:
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=============================================================================
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How to automatically create a ``environment.yml`` that works with repo2docker
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=============================================================================
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This how-to explains how to create a ``environment.yml`` that specifies all
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installed packages and their precise versions from your environment.
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The challenge
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=============
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``conda env export -f environment.yml`` creates a strict export of all packages.
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This is the most robust for reproducibility, but it does bake in potential
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platform-specific packages, so you can only use an exported environment on the
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same platform.
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``repo2docker`` uses a linux based image as the starting point for every docker
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image it creates. However a lot of people use OSX or Windows as their day to
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day operating system. This means that the ``environment.yml`` created by a strict
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export will not work with error messages saying that certain packages can not
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be resolved (``ResolvePackageNotFound``).
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The solution
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============
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Follow this procedure to create a strict export of your environment that will
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work with ``repo2docker`` and sites like `mybinder.org <https://mybinder.org/>`_.
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We will launch a terminal inside a basic docker image, install the packages
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you need and then perform a strict export of the environment.
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#. install repo2docker on your computer by following :ref:`install`
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#. in a terminal launch a basic repository
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``repo2docker https://github.com/binder-examples/conda-freeze``
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inside repo2docker
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#. open the URL printed at the end in a browser, the URL should look like
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``http://127.0.0.1:61037/?token=30e61ec80bda6dd0d14805ea76bb59e7b0cd78b5d6b436f0``
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#. open a terminal by clicking "New -> Terminal" next to the "Upload" button on the
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right hand side of the webpage
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#. install the packages your project requires with ``conda install <yourpackages>``
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#. use ``conda env export -n root`` to print the environment
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#. copy and paste the environment you just printed into a ``environment.yml`` in
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your projects repository
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#. close your browser tabs and exit the repo2docker session by pressing Ctrl-C.
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This will give you a strict export of your environment that precisely pins the
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versions of packages in your environment based on a linux environment.
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