| Name | yak-server JSON |
| Version |
0.45.1
JSON |
| download |
| home_page | None |
| Summary | Football bet rest/graphql server |
| upload_time | 2024-11-29 20:31:37 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
api
graphql
mysql
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
- MySQL 8.0.30
## How to build the project
### Database
Install and start mysql server on port 3306. Add a database named `yak_toto`. In root folder, create a dotenv file named `.env` and fill your MySQL user name, password and database. When backend start, this configuration is automatically loaded.
```text
MYSQL_USER_NAME=my_user_name
MYSQL_PASSWORD=my_password
MYSQL_DB=my_database_name
```
You can also set MySQL port by adding `MYSQL_PORT=my_port` to `.env` file. If not set, it will be 3306 by default.
### 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 pip with the following command:
```bash
uv pip install -r requirements.txt
```
Before starting the backend, add `JWT_SECRET_KEY` and `JWT_EXPIRATION_TIME` in `.env` same as the MySQL 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
To set up test, please add a MySQL database named `yak_toto_test`. It will contain all the records created during unit tests. This database is cleaned everytime you run test. That's why a different database is created to avoid deleting records you use for your local testing.
Yak-server is using `pytest` to run tests.
## Profiling
You can profile by adding this line in the `.env`
```text
PROFILING=1
```
Be careful, you need to be in debug mode to activate the profiling. In production mode, adding the environment variable will have no impacts.
Raw data
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"description": "# Yak-toto\n\n[](https://pypi.org/project/yak-server/)\n[](https://pypi.org/project/yak-server/)\n[](https://codecov.io/gh/yak-toto/yak-server)\n[](https://github.com/yak-toto/yak-server/actions/workflows/codeql-analysis.yml)\n[](https://github.com/yak-toto/yak-server/actions/workflows/test.yml)\n\n## Requisites\n\n- Ubuntu 22.04\n- MySQL 8.0.30\n\n## How to build the project\n\n### Database\n\nInstall and start mysql server on port 3306. Add a database named `yak_toto`. In root folder, create a dotenv file named `.env` and fill your MySQL user name, password and database. When backend start, this configuration is automatically loaded.\n\n```text\nMYSQL_USER_NAME=my_user_name\nMYSQL_PASSWORD=my_password\nMYSQL_DB=my_database_name\n```\n\nYou can also set MySQL port by adding `MYSQL_PORT=my_port` to `.env` file. If not set, it will be 3306 by default.\n\n### Backend\n\nRun your project in a Python env is highly recommend. You can use venv python module using the following command:\n\n```bash\nuv venv\n. .venv/bin/activate\n```\n\nFetch all packages using pip with the following command:\n\n```bash\nuv pip install -r requirements.txt\n```\n\nBefore starting the backend, add `JWT_SECRET_KEY` and `JWT_EXPIRATION_TIME` in `.env` same as the MySQL user name and password. As\nlogin 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.\n\n```py\n>>> import secrets\n>>> secrets.token_hex(16)\n'9292f79e10ed7ed03ffad66d196217c4'\n```\n\n```text\nJWT_SECRET_KEY=9292f79e10ed7ed03ffad66d196217c4\nJWT_EXPIRATION_TIME=1800\n```\n\nAlso, automatic backup can be done through `yak_server/cli/backup_database` script. It can be run using `yak db backup`.\n\nFinally, fastapi needs some configuration to start. Last thing, for development environment, debug needs to be activated with a additional environment variable:\n\n```text\nDEBUG=1\n```\n\nAnd then start backend with:\n\n```bash\nuvicorn --reload yak_server:create_app --factory\n```\n\n### Data initialization\n\nTo 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}/`.\n\n### Testing\n\nTo set up test, please add a MySQL database named `yak_toto_test`. It will contain all the records created during unit tests. This database is cleaned everytime you run test. That's why a different database is created to avoid deleting records you use for your local testing.\n\nYak-server is using `pytest` to run tests.\n\n## Profiling\n\nYou can profile by adding this line in the `.env`\n\n```text\nPROFILING=1\n```\n\nBe careful, you need to be in debug mode to activate the profiling. In production mode, adding the environment variable will have no impacts.\n",
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