Example

Define an API

# main.py
from fastapi import FastAPI
from typing import List
app = FastAPI()
@app.post("/")
def handle_batch(batch: List[int]):
print(batch)
@app.post("/on-job-complete")
def on_job_complete():
print("done")

Create a Dockerfile

FROM python:3.8-slim
RUN pip install --no-cache-dir fastapi uvicorn
COPY main.py /
CMD uvicorn --host 0.0.0.0 --port 8080 main:app

Build an image

docker build . -t hello-world

Run a container locally

docker run -p 8080:8080 hello-world

Make a request

curl -X POST -H "Content-Type: application/json" -d '[1,2,3,4]' localhost:8080

Login to ECR

aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com

Create a repository

aws ecr create-repository --repository-name hello-world

Tag the image

docker tag hello-world <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world

Push the image

docker push <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world

Configure a Cortex deployment

# cortex.yaml
- name: hello-world
kind: BatchAPI
pod:
containers:
- name: api
image: <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world
command: ["uvicorn", "--host", "0.0.0.0", "--port", "8080", "main:app"]

Create a Cortex deployment

cortex deploy

Get the API endpoint

cortex get hello-world

Make a request

curl -X POST -H "Content-Type: application/json" -d '{"workers": 2, "item_list": {"items": [1,2,3,4], "batch_size": 2}}' http://***.amazonaws.com/hello-world

View the logs

cortex logs hello-world <JOB_ID>