import pytest
from dirty_equals import IsInt
from fastapi.testclient import TestClient
from inline_snapshot import Is, snapshot
from sqlalchemy import StaticPool
from sqlmodel import SQLModel, create_engine
from sqlmodel.main import default_registry

from tests.utils import needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()

	// It has a buffer size of 128K:
	// https://github.com/aws/aws-sdk-java/blob/master/aws-java-sdk-s3/src/main/java/com/amazonaws/services/s3/internal/eventstreaming/MessageDecoder.java#L26
	// but we must make sure there is always space to add 256 bytes:
	// https://github.com/aws/aws-sdk-java/blob/master/aws-java-sdk-s3/src/main/java/com/amazonaws/services/s3/model/SelectObjectContentEventStream.java#L197
	maxRecordMessageLength = (128 << 10) - 256
)

また、将来的にリファレンスとして機能するように構築されています。

従って、後でこのチュートリアルに戻ってきて必要なものを確認できます。

## コードを実行する

すべてのコードブロックをコピーして直接使用できます（実際にテストされたPythonファイルです）。

いずれかの例を実行するには、コードを `main.py`ファイルにコピーし、` uvicorn`を次のように起動します:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

이 예시에서, 하위 응용프로그램션은 `/subapi` 경로에 마운트 될 것입니다:

{* ../../docs_src/sub_applications/tutorial001.py hl[11, 19] *}

### 자동으로 생성된 API 문서 확인

이제, `uvicorn`으로 메인 응용프로그램을 실행하십시오. 당신의 파일이 `main.py`라면, 이렇게 실행합니다:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

from fastapi.testclient import TestClient

from .main import app

client = TestClient(app)


def test_query():
    response = client.get("/query")
    assert response.status_code == 422
    assert response.json() == {
        "detail": [
            {
                "type": "missing",
                "loc": ["query", "query"],
                "msg": "Field required",
                "input": None,
            }
        ]

    /**
     * Shortcut for {@code getService(DependencyResolver.class).flatten(...)}.
     *
     * @param node node for which to get a flattened list
     * @param scope build path scope (main compile, test compile, etc.) of desired nodes
     * @return flattened list of node with the given build path scope
     * @throws org.apache.maven.api.services.DependencyResolverException if the dependency flattening failed
     *

                exampleClass = if (descriptor.componentType === ComponentType.LIBRARY) "Hello" else "Greeter"
                sourceFile = (if (descriptor.componentType === ComponentType.LIBRARY) "Hello" else "main") + ".swift"
                testSourceFile = exampleClass + "Tests.swift"
                sourceFileTree = "        │       └── $sourceFile"
                testSourceFileTree = """                └── $testSourceFile

	{"$1", "$1"},
	{"$1.0", "$(1.0)"},
	{"$10", "$10"},
	{"$1000", "$1000"},
	{"$1000000", "$1000000"},
	{"$1000000000", "$1000000000"},
	{"$__tsan_func_enter(SB)", "$__tsan_func_enter(SB)"},
	{"$main(SB)", "$main(SB)"},
	{"$masks<>(SB)", "$masks<>(SB)"},
	{"$setg_gcc<>(SB)", "$setg_gcc<>(SB)"},
	{"$shifts<>(SB)", "$shifts<>(SB)"},
	{"$~(1<<63)", "$9223372036854775807"},
	{"$~0x3F", "$-64"},
	{"$~15", "$-16"},

```Python
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein str
# und bekommen Sie Editor-Unterstützung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python

Mais tarde, para sua aplicação em produção, você pode querer usar um servidor de banco de dados como o **PostgreSQL**.

/// tip | Dica