Place for studying and experimenting with FastAPI

pip install -r requirements.txt

1. Run the API on terminal

uvicorn etl_api:app --reload --host=127.0.0.1 --port=9999

2. Goto the APIHub Page: localhost:9999/docs

3. Run the apitest:

python test_execution.py

1. Run the colab notebook: ColabFastAPI.ipynb

2. Replace the api url in test_colab_execution.py with that shown in the last cell of colab:

e.g., Colab api url: http://c26c-35-245-61-122.ngrok.io

3. On local terminal, execute test_colab_execution.py

1. Build a image with ray serving

docker build -t ray_server .

2. Run the image as container and start the API inside

docker run -it -p 9999:9999 --shm-size=4.80gb --rm ray_server bash

3. Run start.sh in the container

redis-server &
echo 'redis started'
env RAY_LOG_TO_STDERR=1 ray start --head --port=7000 --redis-shard-ports=6379
sleep 20
uvicorn executor_api:app --host 172.17.0.2 --port 9999

3. Build an router api that connect the in-container API to the outside world

follow REF: https://docs.ray.io/en/master/ray-overview/installation.html#m1-mac-apple-silicon-support

pip install -r requirements.txt

ray start --head

python etl_api.py