kopia lustrzana https://github.com/espressif/esp-idf
82 wiersze
3.5 KiB
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82 wiersze
3.5 KiB
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IDF Docker Image
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.. highlight:: bash
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IDF Docker image (``espressif/idf``) is intended for building applications and libraries with specific versions of ESP-IDF, when doing automated builds.
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The image contains:
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- Common utilities such as git, wget, curl, zip.
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- Python 3.6 or newer.
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- A copy of a specific version of ESP-IDF (see below for information about versions). ``IDF_PATH`` environment variable is set, and points to ESP-IDF location in the container.
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- All the build tools required for the specific version of ESP-IDF: CMake, ninja, cross-compiler toolchains, etc.
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- All Python packages required by ESP-IDF are installed in a virtual environment.
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The image entrypoint sets up ``PATH`` environment variable to point to the correct version of tools, and activates the Python virtual environment. As a result, the environment is ready to use the ESP-IDF build system.
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The image can also be used as a base for custom images, if additional utilities are required.
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Tags
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====
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Multiple tags of this image are maintained:
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- ``latest``: tracks ``master`` branch of ESP-IDF
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- ``vX.Y``: corresponds to ESP-IDF release ``vX.Y``
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- ``release-vX.Y``: tracks ``release/vX.Y`` branch of ESP-IDF
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.. note::
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Versions of ESP-IDF released before this feature was introduced do not have corresponding Docker image versions. You can check the up-to-date list of available tags at https://hub.docker.com/r/espressif/idf/tags.
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Usage
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=====
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Setting up Docker
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~~~~~~~~~~~~~~~~~
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Before using the ``espressif/idf`` Docker image locally, make sure you have Docker installed. Follow the instructions at https://docs.docker.com/install/, if it is not installed yet.
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If using the image in CI environment, consult the documentation of your CI service on how to specify the image used for the build process.
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Building a project with CMake
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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In the project directory, run::
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docker run --rm -v $PWD:/project -w /project espressif/idf idf.py build
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The above command explained:
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- ``docker run``: runs a Docker image. It is a shorter form of the command ``docker container run``.
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- ``--rm``: removes the container when the build is finished
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- ``-v $PWD:/project``: mounts the current directory on the host (``$PWD``) as ``/project`` directory in the container
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- ``espressif/idf``: uses Docker image ``espressif/idf`` with tag ``latest`` (implicitly added by Docker when no tag is specified)
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- ``idf.py build``: runs this command inside the container
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To build with a specific docker image tag, specify it as ``espressif/idf:TAG``, for example::
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docker run --rm -v $PWD:/project -w /project espressif/idf:release-v4.0 idf.py build
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You can check the up-to-date list of available tags at https://hub.docker.com/r/espressif/idf/tags.
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Using the image interactively
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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It is also possible to do builds interactively, to debug build issues or test the automated build scripts. Start the container with `-i -t` flags::
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docker run --rm -v $PWD:/project -w /project -it espressif/idf
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Then inside the container, use ``idf.py`` as usual::
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idf.py menuconfig
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idf.py build
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.. note::
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Commands which communicate with the development board, such as ``idf.py flash`` and ``idf.py monitor`` will not work in the container unless the serial port is passed through into the container. However currently this is not possible with Docker for Windows (https://github.com/docker/for-win/issues/1018) and Docker for Mac (https://github.com/docker/for-mac/issues/900).
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