app | ||
.dockerignore | ||
.gitignore | ||
.gitignore.save | ||
docker-compose.yml | ||
Dockerfile | ||
README.md | ||
requirements.txt |
CountAPI
This project is a clone of the functionality available at https://countapi.xyz/ implemented with Python using FastAPI and Redis. If you find this useful, consider donating to Mlomb, the creator of countapi.xyz
Documentation
Thanks to FastAPI there is swagger/OpenAPI doc endpoints included automatically and after deployment will be available at /docs and /redoc
Deployment
First clone the repo locally
git clone https://github.com/philip306/countapi.git
Install the prerequisites:
pip install -r /requirements.txt
Update config.py to point to your redis host/ip
redishost: str = 'redis'
Start Uvicorn:
uvicorn app.main:app --port 8000
Navigate to http://127.0.0.1:8000 in a browser
Docker
First clone the repo locally
git clone https://github.com/philip306/countapi.git
Update config.py to point to your redis host/ip
redishost: str = 'redis'
From within the count api directory build the docker image
docker build -t countapi:0.1 .
Run the image you just created
docker run -p 8000:8000 --detach --name countapi countapi:0.1
Navigate to http://127.0.0.1:8000 in a browser
Docker Compose
Using docker-compose
will using the deployment outlined in docker-compose.yml which will deploy a second container with a standard redis image
First clone the repo locally
git clone https://github.com/philip306/countapi.git
Update config.py to point to your redis host/ip
redishost: str = 'redis'
From within the count api directory build the docker image
docker build -t countapi:0.1 .
Launch two separate containers with a redis image and a countapi image you just created
docker-compose up
Navigate to http://127.0.0.1:8000 in a browser
AWS Lambda and Elasticache
Coming soon
Testing
pytest
will execute the tests outlined in tests/test_main.py. Currently very low coverage.
Known Issues
Currently there is no TTL set on the keys, so the key will exist indefinitely. You can clean them up manually if needed with redis-cli> flushdb