Name | yak-server JSON |
Version |
0.57.1
JSON |
| download |
home_page | None |
Summary | Football bet rest server |
upload_time | 2025-08-23 15:26:24 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.9 |
license | None |
keywords |
api
postgresql
rest
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# Yak-toto
[](https://pypi.org/project/yak-server/)
[](https://pypi.org/project/yak-server/)
[](https://codecov.io/gh/yak-toto/yak-server)
[](https://github.com/yak-toto/yak-server/actions/workflows/codeql-analysis.yml)
[](https://github.com/yak-toto/yak-server/actions/workflows/test.yml)
## 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:
```bash
uv venv
. .venv/bin/activate
```
Fetch all packages using uv with the following command:
```bash
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.
```py
>>> import secrets
>>> secrets.token_hex(16)
'9292f79e10ed7ed03ffad66d196217c4'
```
```text
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:
```text
DEBUG=1
```
And then start backend with:
```bash
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
```bash
uvicorn --reload scripts.profiling:create_app --factory
```
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