LaunchFlow Logo

Simple CRUD API

Overview

In this example you can see how to build a simple CRUD API using LaunchFlow. All the source code for this example can be found on GitHub. This example will show you how to use LaunchFlow to create a Cloud SQL database to hold user information, and a GCS storage bucket to hold profile pictures.

Code Walkthrough

There are three main files associated with our application:

infra.py is where we define the resource our application will use. In this case we define a Cloud SQL database and a GCS bucket. When you run launchflow create from the root directory of the project these resources will be created in the project and environment of your choice.

1
import launchflow as lf

2


3
# TODO(developer): Set these variables with your own values

4
db = lf.gcp.CloudSQLPostgres("launchflow-demo-db")

5
lf_bucket = lf.gcp.GCSBucket("launchflow-demo-bucket-1")

Running the application

To run this application make sure you update the launchflow.yaml to point to your own project and environment.

Install the dependencies

1
pip install -r requirements.txt

Login

To get started run login to LaunchFlow:

1
launchflow login

Connect GCP

If you haven't connected your LaunchFlow account to GCP, you can do so by running:

1
launchflow connect --provider=gcp

Create Resources

NOTE: Before running make sure you update the bucket name in infra.py to be unique.

To create the resources needed to run the application, run:

1
launchflow create

This will prompt you to create a LaunchFlow project and environment to hold the resources. It takes GCP several minutes to provision your Cloud SQL database.

Run the application

1
uvicorn app.main:app

Once running you can visit http://localhost:8000/docs to see the API documentation, and send requests.