QuestLink API is a learning project that uses Strawberry as a GraphQL server and SQLAlchemy as a database ORM. The project uses SQLite as the database for now.
The aim of this project is to have a bare-bone project setup that allows you to start writing GraphQL queries.
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Install Python To install using ds tools, use the following commands from dev shell
ds tool install python3.11
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Create a virtual environment:
It is generally a good practice to create a virtual environment for your project, alternatively you can skip this process and install the requirements globally by going to step 4. You can create a virtual environment using the following command:
python -m venv gql-env
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Activate the virtual environment:
On Windows:
gql-env\Scripts\activate
On Unix or MacOS:
source gql-env/bin/activate -
Install the requirements:
pip install -r requirements.txt
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Create the database:
alembic upgrade head
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Populating the database:
I am using IGDB sample database that can be downloaded from the following Kaggle link. You need a Kaggle account to download the dataset. Once you have downloaded the dataset, extract it to get a folder named igdb_api_video_game_ratings_data.
Go to populate.py and set the value of CSV_DIR as full path of igdb_api_video_game_ratings_data folder.
```python
CSV_DIR = Path("full path of igdb_api_video_game_ratings_data")
```
Run the following command to populate the database:
```sh
python populate.py
```
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Run the server:
The --reload flag automatically reloads the server when you make changes to the code.
uvicorn app:app --reload
Now, you're ready to start writing GraphQL queries!
As this is a learning project, contributions are welcome. Feel free to open an issue or submit a pull request.
This project is for learning purposes only and is not licensed for other use.