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Send & Receive MsgPacketizer packets over serial link

Project description

Send & Receive MsgPacketizer packets over serial link.

See also https://gitlab.com/advian-oss/python-msgpacketizer

Docker

For more controlled deployments and to get rid of “works on my computer” -syndrome, we always make sure our software works under docker.

It’s also a quick way to get started with a standard development environment.

SSH agent forwarding

We need buildkit:

export DOCKER_BUILDKIT=1

And also the exact way for forwarding agent to running instance is different on OSX:

export DOCKER_SSHAGENT="-v /run/host-services/ssh-auth.sock:/run/host-services/ssh-auth.sock -e SSH_AUTH_SOCK=/run/host-services/ssh-auth.sock"

and Linux:

export DOCKER_SSHAGENT="-v $SSH_AUTH_SOCK:$SSH_AUTH_SOCK -e SSH_AUTH_SOCK"

Creating a development container

Build image, create container and start it (switch the 51459 port to the port from src/serialmsgpacketizer/defaultconfig.py):

docker build --ssh default --target devel_shell -t serialmsgpacketizer:devel_shell .
docker create --name serialmsgpacketizer_devel -p 51459:51459 -p 51460:51460 -v `pwd`":/app" -it -v /tmp:/tmp `echo $DOCKER_SSHAGENT` serialmsgpacketizer:devel_shell
docker start -i serialmsgpacketizer_devel

pre-commit considerations

If working in Docker instead of native env you need to run the pre-commit checks in docker too:

docker exec -i serialmsgpacketizer_devel /bin/bash -c "pre-commit install"
docker exec -i serialmsgpacketizer_devel /bin/bash -c "pre-commit run --all-files"

You need to have the container running, see above. Or alternatively use the docker run syntax but using the running container is faster:

docker run -it --rm -v `pwd`":/app" serialmsgpacketizer:devel_shell -c "pre-commit run --all-files"

Test suite

You can use the devel shell to run py.test when doing development, for CI use the “tox” target in the Dockerfile:

docker build --ssh default --target tox -t serialmsgpacketizer:tox .
docker run -it --rm -v `pwd`":/app" `echo $DOCKER_SSHAGENT` serialmsgpacketizer:tox

Production docker

There’s a “production” target as well for running the application (change the “51459” port and “myconfig.toml” for config file):

docker build --ssh default --target production -t serialmsgpacketizer:latest .
docker run -it --name serialmsgpacketizer -v myconfig.toml:/app/config.toml -p 51459:51459 -p 51460:51460 -it -v /tmp:/tmp `echo $DOCKER_SSHAGENT` serialmsgpacketizer:latest

Local Development

TLDR:

  • Create and activate a Python 3.7 virtualenv (assuming virtualenvwrapper):

    mkvirtualenv -p `which python3.7` my_virtualenv
  • change to a branch:

    git checkout -b my_branch
  • install Poetry: https://python-poetry.org/docs/#installation

  • Install project deps and pre-commit hooks:

    poetry install
    pre-commit install
    pre-commit run --all-files
  • Ready to go, try the following:

    serialmsgpacketizer --defaultconfig >config.toml
    serialmsgpacketizer -vv config.toml

Remember to activate your virtualenv whenever working on the repo, this is needed because pylint and mypy pre-commit hooks use the “system” python for now (because reasons).

Running “pre-commit run –all-files” and “py.test -v” regularly during development and especially before committing will save you some headache.

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