pycognitocli 0.3.0

CLI for https://pypi.org/project/pycognito/

CLI for https://pypi.org/project/pycognito/

Try:

pycognitocli -p "region_mypool" -a "myappid" -cs "myappsecret" token get -u "username" -pw 'password'

Or export following environment variables:

• COGNITO_POOL_ID

• COGNITO_APP_ID

• COGNITO_APP_SECRET

• COGNITO_USERNAME

• COGNITO_PASSWORD

You do not have to give the password (or username) on command-line, the app can prompt for it

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 1234 port to the port from src/pycognitocli/defaultconfig.py):

docker build --ssh default --target devel_shell -t pycognitocli:devel_shell .
docker create --name pycognitocli_devel -v `pwd`":/app" -it `echo $DOCKER_SSHAGENT` pycognitocli:devel_shell
docker start -i pycognitocli_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 pycognitocli_devel /bin/bash -c "pre-commit install"
docker exec -i pycognitocli_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" pycognitocli: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 pycognitocli:tox .
docker run -it --rm -v `pwd`":/app" `echo $DOCKER_SSHAGENT` pycognitocli:tox

Production docker

There’s a “production” target as well for running the application (change the “1234” port and “myconfig.toml” for config file):

docker build --ssh default --target production -t pycognitocli:latest .
docker run -it --rm pycognitocli:latest pycognitocli -p "region_mypool" -a "myappid" -cs "myappsecret" token get -u "username" -pw 'password'

Local Development

TLDR:

• Create and activate a Python 3.8 virtualenv (assuming virtualenvwrapper):

  mkvirtualenv -p `which python3.8` 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:

  pycognitocli --defaultconfig >config.toml
  pycognitocli -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.