mirror of
https://github.com/espressif/esp-idf.git
synced 2024-09-20 20:56:01 -04:00
c7d5112771
Rather than running the command inside the container as root, which will
mean that any build artifacts created will be owned by root on the host,
run the command as the current user.
This requires setting a temporary home directory as idf.py will try to
access e.g. ~/.cache, so just use /tmp inside the container which is
ephemeral anyway.
This also allows the command to use `git`. without setting the user ID,
`docker run ... git status` will fail with
fatal: detected dubious ownership in repository at '/project'
Also added the missing explanation for `-w /project`.
Signed-off-by: Jim Mussared <jim.mussared@gmail.com>
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********************
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ESP-IDF Docker Image
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********************
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:link_to_translation:`zh_CN:[中文]`
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..
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When changing this page, please keep tools/docker/README.md in sync.
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.. highlight:: bash
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ESP-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``, and ``zip``.
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- Python 3.7 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 the 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 the ``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 a 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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.. code-block:: bash
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docker run --rm -v $PWD:/project -w /project -u $UID -e HOME=/tmp 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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- ``-w /project``: makes ``/project`` the working directory for the command.
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- ``-u $UID``: makes the command run with your user ID so that files are created as you (instead of root).
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- ``-e HOME=/tmp``: gives the user a home directory for storing temporary files created ``by idf.py`` in ``~/.cache``.
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- ``espressif/idf``: uses Docker image ``espressif/idf`` with tag ``latest``. The ``latest`` tag is 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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.. code-block:: bash
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docker run --rm -v $PWD:/project -w /project -u $UID -e HOME=/tmp espressif/idf:release-v4.4 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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.. code-block:: bash
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docker run --rm -v $PWD:/project -w /project -u $UID -e HOME=/tmp -it espressif/idf
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Then inside the container, use ``idf.py`` as usual:
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.. code-block:: bash
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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`` does not work in the container, unless the serial port is passed through into the container. This can be done with Docker for Linux with the `device option`_. 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). This limitation may be overcome by using `remote serial ports`_. An example of how to do this can be found in the following `using remote serial port`_ section.
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.. _using remote serial port:
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Using Remote Serial Port
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~~~~~~~~~~~~~~~~~~~~~~~~
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The `RFC2217`_ (Telnet) protocol can be used to remotely connect to a serial port. For more information please see the `remote serial ports`_ documentation in the ESP tool project. This method can also be used to access the serial port inside a Docker container if it cannot be accessed directly. Following is an example of how to use the Flash command from within a Docker container.
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On host install and start ``esp_rfc2217_server``:
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* On Windows, the package is available as a one-file bundled executable created by ``pyinstaller`` and it can be downloaded from the `esptool releases`_ page in a ZIP archive along with other ESP tool utilities:
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.. code-block:: bash
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esp_rfc2217_server -v -p 4000 COM3
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* On Linux or macOS, the package is available as part of ``esptool``, which can be found in the ESP-IDF environment or by installing using ``pip``:
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.. code-block:: bash
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pip install esptool
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And then starting the server by executing
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.. code-block:: bash
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esp_rfc2217_server.py -v -p 4000 /dev/ttyUSB0
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Now the device attached to the host can be flashed from inside a Docker container by using:
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.. code-block:: bash
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docker run --rm -v <host_path>:/<container_path> -w /<container_path> espressif/idf idf.py --port rfc2217://host.docker.internal:4000?ign_set_control flash
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Please make sure that ``<host_path>`` is properly set to your project path on the host, and ``<container_path>`` is set as a working directory inside the container with the ``-w`` option. The ``host.docker.internal`` is a special Docker DNS name to access the host. This can be replaced with a host IP if necessary.
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Building Custom Images
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======================
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The Docker file in ESP-IDF repository provides several build arguments which can be used to customize the Docker image:
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- ``IDF_CLONE_URL``: URL of the repository to clone ESP-IDF from. Can be set to a custom URL when working with a fork of ESP-IDF. The default is ``https://github.com/espressif/esp-idf.git``.
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- ``IDF_CLONE_BRANCH_OR_TAG``: Name of a git branch or tag used when cloning ESP-IDF. This value is passed to the ``git clone`` command using the ``--branch`` argument. The default is ``master``.
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- ``IDF_CHECKOUT_REF``: If this argument is set to a non-empty value, ``git checkout $IDF_CHECKOUT_REF`` command performs after cloning. This argument can be set to the SHA of the specific commit to check out, for example, if some specific commit on a release branch is desired.
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- ``IDF_CLONE_SHALLOW``: If this argument is set to a non-empty value, ``--depth=1 --shallow-submodules`` arguments are be used when performing ``git clone``. This significantly reduces the amount of data downloaded and the size of the resulting Docker image. However, if switching to a different branch in such a "shallow" repository is necessary, an additional ``git fetch origin <branch>`` command must be executed first.
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- ``IDF_INSTALL_TARGETS``: Comma-separated list of ESP-IDF targets to install toolchains for, or ``all`` to install toolchains for all targets. Selecting specific targets reduces the amount of data downloaded and the size of the resulting Docker image. The default is ``all``.
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To use these arguments, pass them via the ``--build-arg`` command line option. For example, the following command builds a Docker image with a shallow clone of ESP-IDF v4.4.1 and tools for ESP32-C3 only：
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.. code-block:: bash
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docker build -t idf-custom:v4.4.1-esp32c3 \
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--build-arg IDF_CLONE_BRANCH_OR_TAG=v4.4.1 \
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--build-arg IDF_CLONE_SHALLOW=1 \
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--build-arg IDF_INSTALL_TARGETS=esp32c3 \
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tools/docker
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.. _remote serial ports: https://docs.espressif.com/projects/esptool/en/latest/esptool/remote-serial-ports.html
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.. _RFC2217: http://www.ietf.org/rfc/rfc2217.txt
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.. _esptool releases: https://github.com/espressif/esptool/releases
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.. _device option: https://docs.docker.com/engine/reference/run/#runtime-privilege-and-linux-capabilities
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