Now create Pydantic *models* (schemas) that will be used when reading data, when returning it from the API.

For example, before creating an item, we don't know what will be the ID assigned to it, but when reading it (when returning it from the API) we will already know its ID.

The same way, when reading a user, we can now declare that `items` will contain the items that belong to this user.

So you wait for your crush to finish the story (finish the current work ⏯ / task being processed 🤓), smile gently and say that you are going for the burgers ⏸.

Then you go to the counter 🔀, to the initial task that is now finished ⏯, pick the burgers, say thanks and take them to the table. That finishes that step / task of interaction with the counter ⏹. That in turn, creates a new task, of "eating burgers" 🔀 ⏯, but the previous one of "getting burgers" is finished ⏹.

          <type>String</type>
          <description>What the last version added to the directory is, including both releases and snapshots ("groupId/artifactId" directory only)</description>
        </field>
        <field>
          <name>release</name>
          <version>1.0.0+</version>
          <type>String</type>

    ```

Notice that the default value is still `None`, so the parameter is still optional.

But now, having `Query(max_length=50)` inside of `Annotated`, we are telling FastAPI that we want it to extract this value from the query parameters (this would have been the default anyway 🤷) and that we want to have **additional validation** for this value (that's why we do this, to get the additional validation). 😎

// It returns (0, io.EOF) when it reaches the end of that file,
// until [Next] is called to advance to the next file.
//
// If the current file is sparse, then the regions marked as a hole
// are read back as NUL-bytes.
//
// Calling Read on special types like [TypeLink], [TypeSymlink], [TypeChar],
// [TypeBlock], [TypeDir], and [TypeFifo] returns (0, [io.EOF]) regardless of what
// the [Header.Size] claims.

And adding type hints normally doesn't change what happens from what would happen without them.

But now, imagine you are again in the middle of creating that function, but with type hints.

At the same point, you try to trigger the autocomplete with `Ctrl+Space` and you see:

<img src="/img/python-types/image02.png">

With that, you can scroll, seeing the options, until you find the one that "rings a bell":

			readers, err := gatherFiles(cmd, args)
			if err != nil {
				return err
			}
			cancel := make(chan struct{})

			// We use the "namespace" arg that's provided as part of root istioctl as a flag for specifying what namespace to use
			// for file resources that don't have one specified.
			selectedNamespace = ctx.Namespace()
			if useKube {
				// apply default namespace if not specified and useKube is true

```

The `@app.get("/")` tells **FastAPI** that the function right below is in charge of handling requests that go to:

* the path `/`
* using a <abbr title="an HTTP GET method"><code>get</code> operation</abbr>

!!! info "`@decorator` Info"
    That `@something` syntax in Python is called a "decorator".

    You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).

// are responsible for serializing and deserializing the objects that contain
// their internal state.
// Once a ControllerRevision has been successfully created, it can not be updated.
// The API Server will fail validation of all requests that attempt to mutate
// the Data field. ControllerRevisions may, however, be deleted. Note that, due to its use by both

	// used for the key-marker request parameter in a subsequent request.
	NextKeyMarker string

	// When a list is truncated, this element specifies the value that should be
	// used for the upload-id-marker request parameter in a subsequent request.
	NextUploadIDMarker string

	// Maximum number of multipart uploads that could have been included in the
	// response.