is data "<abbr title="also called marshalling, conversion">serialization</abbr>" which is taking data from the code (Python) and converting it into something that can be sent through the network. For example, converting an object containing data from a database into a JSON object. Converting `datetime` objects into strings, etc.

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and...

---> 100%
```

</div>

#### Generate Client Code

To generate the client code you can use the command line application `openapi-ts` that would now be installed.

Because it is installed in the local project, you probably wouldn't be able to call that command directly, but you would put it on your `package.json` file.

It could look like this:

```JSON  hl_lines="7"
{
  "name": "frontend-app",
  "version": "1.0.0",

class HTTPBasic(HTTPBase):
    """
    HTTP Basic authentication.

    ## Usage

    Create an instance object and use that object as the dependency in `Depends()`.

    The dependency result will be an `HTTPBasicCredentials` object containing the
    `username` and the `password`.

    Read more about it in the

                    },
                },
            }
        },
        "components": {
            "schemas": {
                "Item": {
                    "type": "object",
                    "title": "Item",
                    "properties": {
                        "name": {
                            "anyOf": [{"type": "string"}, {"type": "null"}],

        {
            "detail": [
                {
                    "type": "model_attributes_type",
                    "loc": ["body"],
                    "msg": "Input should be a valid dictionary or object to extract fields from",
                    "input": "name=Foo&price=50.5",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

        {
            "detail": [
                {
                    "type": "model_attributes_type",
                    "loc": ["body"],
                    "msg": "Input should be a valid dictionary or object to extract fields from",
                    "input": "name=Foo&price=50.5",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

                        # TODO: remove when deprecating Pydantic v1
                        ["username"],
                    ),
                    "type": "object",
                    "properties": {
                        "username": {"title": "Username", "type": "string"},
                        "email": IsDict(
                            {

Nó cũng có nghĩa là trong nhiều trường hợp, bạn có thể truyền cùng object bạn có từ một request **trực tiếp cho cơ sở dữ liệu**, vì mọi thứ được validate tự động.

Điều tương tự áp dụng cho các cách khác nhau, trong nhiều trường hợp, bạn có thể chỉ truyền object từ cơ sở dữ liêu **trực tiếp tới client**.

For example, you could want to **return a dictionary** or a database object, but **declare it as a Pydantic model**. This way the Pydantic model would do all the data documentation, validation, etc. for the object that you returned (e.g. a dictionary or database object).

                    "required": ["alias"],
                    "type": "object",
                    "properties": {"alias": {"title": "Alias", "type": "string"}},
                },
                "ModelNoAlias": {
                    "title": "ModelNoAlias",
                    "required": ["name"],
                    "type": "object",
                    "properties": {"name": {"title": "Name", "type": "string"}},