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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 lf create from the root directory of the project these resources will be created in the project and environment of your choice.

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import launchflow as lf

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

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

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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

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pip install -r requirements.txt

Login

To get started run login to LaunchFlow:

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lf login

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:

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lf 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

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uvicorn app.main:app

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