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>

Workloads - Previous

Batch

Configuration

Last modified 7mo ago

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Outline

Define an API

Create a Dockerfile

Build an image

Run a container locally

Configure a Cortex deployment

Create a Cortex deployment

Get the API endpoint

Make a request

View the logs