FastAPI Hello world API to test cloud deployments quickly

Description

This project is a RESTful API built with Python and FastAPI.

Installation

1. Clone the repository

  git clone https://github.com/suvarnakd/fast-api-hw.git

2. Create a Python 3.9 virtual environment:

   python3.9 -m venv venv

3. Activate the env

   source venv/bin/activate

4. Install requirements

   pip install -r requirements.txt

Usage

Run the API with uvicorn:

uvicorn app.main:app --reload

GCP Deployment with app engine

1. Any AI code implemented with fast-api can be deployed on gcp with app engine deployment.
2. The gcloud app command group lets you deploy and manage your Google App Engine apps.
3. Steps:

• Create/seclect the gcp project https://console.cloud.google.com/
• Select APIs & Services
• Select the "Activate cloud shell" >-
• Make sure that you have the correct current project

gcloud config list project

• Clone the repository

   git clone https://github.com/suvarnakd/fast-api-hw.git
   cd fast-api-hw

• You may directly deploy your app, or you may check if everything works by manually trying to run the api on VM provided with console

   virtualenv env
   source env/bin/activate
   pip install -r requirements.txt
   gunicorn -k uvicorn.workers.UvicornWorker app.main:app

If you could run this successfully, your requirements.txt has all required libraries to host fastapi code.

• you may stop the running process and check the app.yaml file

   cat app.yaml

• To see the apps already deployed on app engine use following-

   gcloud app browse

• To deploy our current hello world api app fast-api-hw

   gcloud app deploy

• to see tha log of deployment

   gcloud app logs tail -s default

• You may see a url if the app is deployed correctly

    gcloud app browse

• Visit the url for example https://auto-annotation-demo.as.r.appspot.com to access the deployed API.

• If there are any changes in the repo, simply pull the changes and reploy the app with

   gcloud app deploy