Welcome to another milestone in your Flask journey. Throughout this course, we will explore various HTTP methods using a mock database to illustrate practical applications. In this lesson, we will concentrate on using the GET method to retrieve data from a mock database.

By the end of this lesson, you will be able to create Flask endpoints to retrieve data using GET requests, building on the concepts you've already learned. We will also cover how to handle errors and return appropriate status codes to ensure robust and reliable API endpoints.

Let's go over how to set up a basic Flask application and introduce the mock database we'll be using throughout this course to teach HTTP methods.

In this setup, we initialize a Flask application and create a mock database represented as a list of dictionaries. This user database will be the core of our exercises throughout the course, where we will practice retrieving, inserting, editing, and deleting data.

Now, let's create an endpoint to retrieve all users from our mock database. We will use the GET method to define this route. Here's the code to define such a route:

Explanation:

• Firstly, we define a route that responds to GET requests at the /all_users URL.
• The get_users function is called when a GET request is made to this URL.
• The jsonify(database) function converts the user database (a list of dictionaries) into a JSON response and returns it.

When you run this code and access /all_users, you'll get an HTTP 200 status code (which means success) along with a JSON response containing all users from the mock database:

Next, we will create an endpoint to retrieve a single user by their ID using a path parameter. Here's how we do it:

Explanation:

• The /users route includes a path parameter /<int:user_id> to capture the user's ID from the URL.
• Specifically, the int: part ensures that the parameter is treated as an integer. If an incompatible data type is provided, Flask will return a 404 error.
• Then, the get_user function takes user_id as an argument and searches the database for a user with that ID.
• If the user is found, it returns the user as JSON.
• Otherwise, it returns a JSON error message with a 404 status code.

For example, if you access /users/2, you will get an HTTP 200 status code along with the following JSON response:

It's important to handle cases where a user is not found in the database. In the previous section, we included error handling within the get_user function. Here's the relevant code:

This part of the code is executed if the user with the specified ID is not found in the database.

• jsonify(error="User not found") creates a JSON response with an error message.
• The 404 part sets the HTTP status code to 404, which means "Not Found".

In Flask, you can return a response and set its status code by separating them with a comma. This ensures clients know the resource was not found and receive a clear error message.

When a client attempts to access a user ID that does not exist, such as /users/99, the server will respond with an HTTP 404 status code, indicating that the requested resource was not found. The JSON response will contain a descriptive error message:

This response helps clients understand that the specified user ID does not exist in the database and guides them to correct their request accordingly.

In this lesson, we unlocked the power of GET requests in Flask, enabling us to effortlessly retrieve data from a mock database. You learned how to:

• Set up a basic Flask application with a mock user database.
• Create an endpoint to fetch all users.
• Create an endpoint to retrieve a specific user by ID.
• Implement error handling for non-existent users to ensure robust and reliable API endpoints.

It's now time to put your newfound knowledge to the test! Dive into the practice exercises where you'll will reinforce your understanding and prepare you for more advanced techniques in future lessons.

Get ready to flex your coding muscles and have some fun exploring the power of Flask!