libpvarki
Common helpers like standard logging init
Logging
Default logging init outputs ECS compatible JSON that can then be handled by whatever log aggregator
TLDR
import logging
from libpvarki.logging import init_logging
LOGGER = logging.getLogger(__name__)
def main() -> None:
init_logging(logging.INFO)
LOGGER.info("This is info")
If ENV contains variable LOG_GLOBAL_LABELS_JSON then this is parsed as JSON and those are automatically added as extras to all logger calls.
You can use https://github.com/trentm/go-ecslog to pretty-print the ECS logs, or set ENV variable LOG_CONSOLE_FORMATTER to "utc" (or "local") for more traditional text log format.
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:
docker build --ssh default --target devel_shell -t libpvarki:devel_shell . docker create --name libpvarki_devel -v `pwd`":/app" -it `echo $DOCKER_SSHAGENT` libpvarki:devel_shell docker start -i libpvarki_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 libpvarki_devel /bin/bash -c "pre-commit install" docker exec -i libpvarki_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 --rm -it -v `pwd`":/app" libpvarki: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 libpvarki:tox . docker run --rm -it -v `pwd`":/app" `echo $DOCKER_SSHAGENT` libpvarki:tox
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.
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).