Building a REST API With AWS Gateway and Python

AWS Gateway is a powerful tool for building APIs that scale to meet the demands of modern web and mobile applications. With AWS Gateway, you can create RESTful APIs that expose your data and business logic to developers who can then build rich, interactive applications that consume your API.

REST API is an industry standard for building scalable, distributed web applications. With AWS Gateway, you can easily build a REST API that supports both GET and POST methods, as well as complex query parameters. You can also add support for other HTTP methods, such as PUT, DELETE, and HEAD.

Using AWS Gateway, you can quickly create APIs that are secure and robust. You can also use it to deploy your code to a production environment with minimal effort. Additionally, AWS Gateway allows for seamless integration with other AWS services, such as S3 and DynamoDB, enabling you to easily add complex functionality to your APIs.

Pre-requisites

Before building a RESTful API with AWS Gateway, you should have the following in place:

Building a REST API With AWS Gateway and Python



Building a REST API With AWS Gateway and Python


Building a REST API With AWS Gateway and Python


Building a REST API With AWS Gateway and Python

Building a REST API With AWS Gateway and Python


Building a REST API With AWS Gateway and Python

Building a REST API With AWS Gateway and Python


Building a REST API With AWS Gateway and Python


Code Example

Python
 

import json
# Example data

data = {
    "items": [
        {"id": 1, "name": "Item 1", "price": 10.99},
        {"id": 2, "name": "Item 2", "price": 15.99},
        {"id": 3, "name": "Item 3", "price": 20.99},
    ]
}

def lambda_handler(event, context):
    # Determine the HTTP method of the request
    http_method = event["httpMethod"]
    # Handle GET request
    if http_method == "GET":
        # Return the data in the response
        response = {
            "statusCode": 200,
            "body": json.dumps(data)
        }
        return response

    # Handle POST request
    elif http_method == "POST":
        # Retrieve the request's body and parse it as JSON
        body = json.loads(event["body"])
        # Add the received data to the example data
        data["items"].append(body)
        # Return the updated data in the response
        response = {
            "statusCode": 200,
            "body": json.dumps(data)
        }
        return response

    # Handle PUT request
    elif http_method == "PUT":
        # Retrieve the request's body and parse it as JSON
        body = json.loads(event["body"])
        # Update the example data with the received data
        for item in data["items"]:
            if item["id"] == body["id"]:
                item.update(body)
                break
        # Return the updated data in the response
        response = {
            "statusCode": 200,
            "body": json.dumps(data)
        }
        return response

         # Handle DELETE request
    elif http_method == "DELETE":
        # Retrieve the request's body and parse it as JSON
        body = json.loads(event["body"])
        # Find the item with the specified id in the example data
        for i, item in enumerate(data["items"]):
            if item["id"] == body["id"]:
                # Remove the item from the example data
                del data["items"][i]
                break
        # Return the updated data in the response
        response = {
            "statusCode": 200,
            "body": json.dumps(data)
        }
        return response

    else:
        # Return an error message for unsupported methods
        response = {
            "statusCode": 405,
            "body": json.dumps({"error": "Method not allowed"})
        }
        return response


This code defines a Lambda function, lambda_handler, that handles different types of HTTP requests (GET, POST, PUT, DELETE) on some data. The data is an object containing an array of items, each item has an id, name, and price.

When the function is called, it first determines the HTTP method of the request from the event object. Then it handles the request accordingly:

Deploy the API by clicking on "Actions" and selecting "Deploy API".

Building a REST API With AWS Gateway and Python


Select a deployment stage (e.g. "prod" or "test") and click on "Deploy".
Use the generated API endpoint to make requests to your API.

Building a REST API With AWS Gateway and Python


Running and Testing the Code in Postman

Now, our API is up and running. You can send a test HTTP request through Postman. By sending a request to your invoke URL, you should see a 200 OK status code. For this test, no request body is needed for the incoming request.


Building a REST API With AWS Gateway and Python


 

 

 

 

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