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Yak-toto

PyPI Docker Image Python Versions codecov 🔐 CodeQL Testing

Requisites

  • Ubuntu 22.04
  • Postgres 17.2

How to build the project

Database

To setup a database, run yak env init. This will ask you to fill different configuration in order build env file. Once done, you can run a docker script to start postgres database (at scripts/postgresrun.sh)

Backend

Run your project in a Python env is highly recommend. You can use venv python module using the following command:

uv venv
. .venv/bin/activate

Fetch all packages using uv with the following command:

uv pip install -e .

Before starting the backend, add JWT_SECRET_KEY and JWT_EXPIRATION_TIME in .env same as the Postgres user name and password. As login system is using JSON Web Token, a secret key is required and an expiration time (in seconds). To generate one, you can use the python built-in secrets module.

>>> import secrets
>>> secrets.token_hex(16)
'9292f79e10ed7ed03ffad66d196217c4'
JWT_SECRET_KEY=9292f79e10ed7ed03ffad66d196217c4
JWT_EXPIRATION_TIME=1800

Also, automatic backup can be done through yak_server/cli/backup_database script. It can be run using yak db backup.

Finally, fastapi needs some configuration to start. Last thing, for development environment, debug needs to be activated with a additional environment variable:

DEBUG=1

And then start backend with:

uvicorn --reload yak_server:create_app --factory

Data initialization

To run local testing, you can use the script create_database.py, initialize_database.py and create_admin.py located in yak_server/cli folder. To select, set COMPETITION environment variable in .env. It will read data from yak_server/data/{COMPETITION}/.

Testing

Yak-server is using pytest to run tests.

Profiling

You can run the application with profiler attached. To do so, please run the following command

uvicorn --reload scripts.profiling:create_app --factory

Metadata

Release files for yak-server 0.91.0

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