import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial001_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [

    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4
        with:
          # To allow latest-changes to commit to the main branch
          token: ${{ secrets.FASTAPI_LATEST_CHANGES }}
      # Allow debugging with tmate
      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3

{% for section_name, section_content in external_links.items() %}

## {{ section_name }}

{% for lang_name, lang_content in section_content.items() %}

### {{ lang_name }}

{% for item in lang_content %}

                                # TODO: remove when deprecating Pydantic v1
                                {"title": "Q", "type": "string"}
                            ),
                            "name": "q",
                            "in": "query",
                        },
                        {
                            "required": False,
                            "schema": {

In this case you will have to ensure that each operation ID is **unique** in some other way.

For example, you could make sure that each *path operation* has a tag, and then generate the operation ID based on the **tag** and the *path operation* **name** (the function name).

### Custom Generate Unique ID Function

Вы вводите первый параметр функции, `first_name`, затем точку (`.`), а затем нажимаете `Ctrl+Space`, чтобы запустить дополнение.

Но, к сожалению, ничего полезного не выходит:

<img src="/img/python-types/image01.png">

### Добавим типы

Давайте изменим одну строчку в предыдущей версии.

Мы изменим именно этот фрагмент, параметры функции, с:

```Python
    first_name, last_name
```

на:

```Python

    contact={
        "name": "Deadpoolio the Amazing",
        "url": "http://x-force.example.com/contact/",
        "email": "******@****.***",
    },
    license_info={
        "name": "Apache 2.0",
        "identifier": "MIT",
    },
)


@app.get("/items/")
async def read_items():

                            "name": "item_id",
                            "in": "path",
                        },
                        {
                            "required": True,
                            "schema": {"title": "Needy", "type": "string"},
                            "name": "needy",
                            "in": "query",
                        },

## `uvicorn` 호출

FastAPI 애플리케이션에서 `uvicorn`을 직접 임포트하여 실행합니다

```Python hl_lines="1  15"
{!../../../docs_src/debugging/tutorial001.py!}
```

### `__name__ == "__main__"` 에 대하여

`__name__ == "__main__"`의 주요 목적은 다음과 같이 파일이 호출될 때 실행되는 일부 코드를 갖는 것입니다.

<div class="termy">

```console
$ python myapp.py
```

</div>

그러나 다음과 같이 다른 파일을 가져올 때는 호출되지 않습니다.

```Python