from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from tests.utils import needs_py39, needs_py310


@pytest.fixture(
    name="client",
    params=[
        "tutorial001",
        pytest.param("tutorial001_py39", marks=needs_py39),
        pytest.param("tutorial001_py310", marks=needs_py310),
        "tutorial001_an",
        pytest.param("tutorial001_an_py39", marks=needs_py39),

from dirty_equals import IsDict
from fastapi.testclient import TestClient

from docs_src.openapi_callbacks.tutorial001 import app, invoice_notification

client = TestClient(app)


def test_get():
    response = client.post(
        "/invoices/", json={"id": "fooinvoice", "customer": "John", "total": 5.3}
    )
    assert response.status_code == 200, response.text
    assert response.json() == {"msg": "Invoice received"}

//// tab | Pydantic v2

```Python hl_lines="2  5-8  11"
{!> ../../docs_src/settings/tutorial001.py!}
```

////

//// tab | Pydantic v1

/// info

In Pydantic v1 würden Sie `BaseSettings` direkt von `pydantic` statt von `pydantic_settings` importieren.

///

但是你也希望它能够接受新的条目。并且当这些条目不存在时，会自动创建并返回 201 「创建」的 HTTP 状态码。

要实现它，导入 `JSONResponse`，然后在其中直接返回你的内容，并将 `status_code` 设置为为你要的值。

```Python hl_lines="4  25"
{!../../docs_src/additional_status_codes/tutorial001.py!}
```

/// warning | "警告"

当你直接返回一个像上面例子中的 `Response` 对象时，它会直接返回。

FastAPI 不会用模型等对该响应进行序列化。

确保其中有你想要的数据，且返回的值为合法的 JSON（如果你使用 `JSONResponse` 的话）。

///

/// note | "技术细节"

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


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_fields.tutorial001 import app

    client = TestClient(app)
    return client


def test_items_5(client: TestClient):
    response = client.put("/items/5", json={"item": {"name": "Foo", "price": 3.0}})
    assert response.status_code == 200
    assert response.json() == {

from fastapi.testclient import TestClient
from inline_snapshot import snapshot

from tests.utils import needs_py39, needs_py310


@pytest.fixture(
    name="client",
    params=[
        "tutorial001",
        pytest.param("tutorial001_py310", marks=needs_py310),
        "tutorial001_an",
        pytest.param("tutorial001_an_py39", marks=needs_py39),
        pytest.param("tutorial001_an_py310", marks=needs_py310),

Aqui está uma pequena prévia de como você poderia integrar Strawberry com FastAPI:

```Python hl_lines="3  22  25-26"
{!../../docs_src/graphql/tutorial001.py!}
```

Você pode aprender mais sobre Strawberry na <a href="https://strawberry.rocks/" class="external-link" target="_blank">documentação do Strawberry</a>.

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


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_multiple_params.tutorial003 import app

    client = TestClient(app)
    return client


def test_post_body_valid(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "importance": 2,

```

////

//// tab | Python 3.8+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="28-29  32"
{!> ../../docs_src/dependency_testing/tutorial001.py!}
```

////

/// tip

You can set a dependency override for a dependency used anywhere in your **FastAPI** application.

from fastapi.testclient import TestClient

from docs_src.path_operation_configuration.tutorial005 import app

from ...utils import needs_pydanticv1, needs_pydanticv2

client = TestClient(app)


def test_query_params_str_validations():
    response = client.post("/items/", json={"name": "Foo", "price": 42})
    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "Foo",
        "price": 42,