</div>

<details markdown="1">
<summary><code>uvicorn main:app --reload</code> əmri haqqında...</summary>

`uvicorn main:app` əmri aşağıdakılara instinad edir:

* `main`: `main.py` faylı (yəni Python "modulu").
* `app`: `main.py` faylında `app = FastAPI()` sətrində yaratdığımız `FastAPI` obyektidir.

</div>

<details markdown="1">
<summary><code>uvicorn main:app --reload</code> komutuyla ilgili...</summary>

`uvicorn main:app` komutunu şu şekilde açıklayabiliriz:

* `main`: dosya olan `main.py` (yani Python "modülü").
* `app`: ise `main.py` dosyasının içerisinde `app = FastAPI()` satırında oluşturduğumuz `FastAPI` nesnesi.

		<antcall target="remove.jars" />
	</target>

	<target name="install.module">
		<get dest="${target.dir}">
			<url url="${repo.url}/${module.groupId}/${module.name.prefix}${module.name}/${module.version}/${module.name.prefix}${module.name}-${module.zip.version}.zip" />
		</get>
		<unzip dest="${modules.dir}/${module.name}" src="${target.dir}/${module.name.prefix}${module.name}-${module.zip.version}.zip">
			<patternset>
				<include name="**" />

# Extra Models { #extra-models }

Continuing with the previous example, it will be common to have more than one related model.

This is especially the case for user models, because:

* The **input model** needs to be able to have a password.
* The **output model** should not have a password.
* The **database model** would probably need to have a hashed password.

/// danger

# Cookie Parameter Models { #cookie-parameter-models }

If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

All that, arbitrarily nested.

### Define a submodel { #define-a-submodel }

For example, we can define an `Image` model:

<img src="/img/python-types/image06.png">

Notice that this means "`one_person` is an **instance** of the class `Person`".

It doesn't mean "`one_person` is the **class** called `Person`".

## Pydantic models { #pydantic-models }

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

junit5android-runner = { module = "de.mannodermaus.junit5:android-test-runner", version.ref = "de-mannodermaus-junit5" }
kotlin-junit5 = { module = "org.jetbrains.kotlin:kotlin-test-junit5", version.ref = "org-jetbrains-kotlin" }
kotlin-reflect = { module = "org.jetbrains.kotlin:kotlin-reflect", version.ref = "org-jetbrains-kotlin" }
kotlin-stdlib = { module = "org.jetbrains.kotlin:kotlin-stdlib", version.ref = "org-jetbrains-kotlin" }

///

## Another module with `APIRouter` { #another-module-with-apirouter }

Let's say you also have the endpoints dedicated to handling "items" from your application in the module at `app/routers/items.py`.

You have *path operations* for:

* `/items/`
* `/items/{item_id}`

        Map<String, Object> params = new HashMap<>();
        params.put("param", "value");

        // First call with model name
        ComponentUtil.setFessConfig(new FessConfig.SimpleImpl() {
            @Override
            public String getLtrModelName() {
                return "model1";
            }

            @Override
            public int getLtrWindowSize() {
                return 50;