‘Läksyt’ is plural for ‘homework’ in Finnish
(according to Google Translate)

A Python micro-service that periodically polls a Kafka topic for Avro messages, deserializes them into dataclass instances (website health-check reports), then persists the received health reports to a PostgreSQL instance.

All configuration resides in the file profiles/app-default.yml.

The application looks for the profiles directory in the caller’s current working directory, then, if not found, in the application’s root directory (the one that contains main.py).

At the minimum, this application requires connection credentials to instances of Kafka and PostgreSQL, and also a Kafka topic name to poll from. Other preferences are set to reasonable defaults and should prove intuitive to tinker with.

The application supports multiple configuration profiles: just add a file profiles/app-<PROFILE_NAME>.yml for each additional profile. (The profile default must always be present as it is, well, the default.) To select the active profile:

• Set the environment variable LAKSYT_PROFILE to the value <PROFILE_NAME>.
• Or, add the command line option --profile <PROFILE_NAME>/-p <PROFILE_NAME> to the python command when launching the application.
• Otherwise, the default profile will be used.

The profile name given in the command line overrides the profile from the environment variable.

The SQL commands that initialize tables & views in the PostgreSQL instance are located in the sql/ directory. By default, the schema is created on application start-up, unless identically named tables already exist. It is possible to wipe pre-existing tables & views on application start-up by setting postgres.startup.wipe_schema key to true in the configuration file (e.g., profiles/app-default.yml).

To run the application with pipenv, first install the dependencies:

pipenv install --deploy --ignore-pipfile

Then run the application:

pipenv run python main.py

To select a non-default profile, append -p <PROFILE_NAME> to the pipenv run command.

To run the application with Docker, first build the image:

docker build -t laksyt/lks-persister:latest .

Then run the application:

docker run -it --rm laksyt/lks-persister:latest

To select a non-default profile, append -e LAKSYT_PROFILE=<PROFILE_NAME> to the docker run options.

The application logs its normal activities into the standard error at the INFO level. The lowest outputted log level is controlled by the configuration key log.level.

To stop the execution, just send a Ctrl-C.