Drag Queens Collection API made using Python 3 and in FastAPI.

Main focus of this project was:

• create fast and easy REST API based on previously prepared api documentation (OpenApi standard)
• deploy and provide API for frontend team to play with it

Application was created in two versions:

• v1.0.0 - basic application, uses in-memory "database" with no authorization nor authentication
• v2.1.0 - deployed to Deta Space with data storage (NoSQL database), authorization and authentication implemented using JWT

• Python
• FastAPI
• Uvicorn
• PyJWT
• bcrypt
• Deta (deploy)

Original API documentation is located in /docs folder.

API documentation:

https://e4hke1.deta.dev/docs

API documentation:

https://queensapiv21-1-z9994616.deta.app/docs

In order to run the project locally, you need to have Python 3 installed.

Each project folder app_v1 and app_v2 should be treated as separate microservice.

1. Clone repository:

git clone https://github.com/nataliacza/queens-basic-api

2. Create virtual environment for each microservice app_v1 and app_v2: instruction. Project was build using Poetry.

3. Install dependencies:

(while being in folder app_v1 or app_v2)
pip install -r requirements.txt

For Poetry:

poetry install

4. For app_v2 create in main project folder a new file .env, copy data from .env-example file and fill with variables.

5. Run application on your local machine:

uvicorn main:app --port 8000

6. Go to application API docs:

http://127.0.0.1:8000/docs