Sebastián Ramírez <******@****.***> 1688749933 +0200

from pytest import MonkeyPatch

from ...utils import needs_pydanticv1


@needs_pydanticv1
def test_settings(monkeypatch: MonkeyPatch):
    monkeypatch.setenv("ADMIN_EMAIL", "******@****.***")
    from docs_src.settings.tutorial001_pv1 import app

    client = TestClient(app)
    response = client.get("/info")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "app_name": "Awesome API",

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_pydanticv1


@pytest.fixture(name="client")
def get_client():
    from docs_src.path_operation_advanced_configuration.tutorial007_pv1 import app

    client = TestClient(app)
    return client


@needs_pydanticv1
def test_post(client: TestClient):
    yaml_data = """
        name: Deadpoolio
        tags:
        - x-force
        - x-men

{!> ../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

////

//// tab | Pydantic v1

```Python hl_lines="17-22  24"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
```

////

/// info

In Pydantic Version 1 hieß die Methode zum Abrufen des JSON-Schemas für ein Modell `Item.schema()`, in Pydantic Version 2 heißt die Methode `Item.model_json_schema()`.

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_pydanticv1


@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial001_pv1 import app

    client = TestClient(app)
    return client


@needs_pydanticv1
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",

{!> ../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

////

//// tab | Pydantic v1

```Python hl_lines="17-22  24"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
```

////

/// info

In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.

"docs_src/custom_response/tutorial007.py" = ["B007"]
"docs_src/dataclasses/tutorial003.py" = ["I001"]
"docs_src/path_operation_advanced_configuration/tutorial007.py" = ["B904"]
"docs_src/path_operation_advanced_configuration/tutorial007_pv1.py" = ["B904"]
"docs_src/custom_request_and_route/tutorial002.py" = ["B904"]
"docs_src/dependencies/tutorial008_an.py" = ["F821"]
"docs_src/dependencies/tutorial008_an_py39.py" = ["F821"]

/// info

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

///

```Python hl_lines="2  5-8  11"
{!> ../../docs_src/settings/tutorial001_pv1.py!}
```

////

/// tip | "Tipp"

Für ein schnelles Copy-and-paste verwenden Sie nicht dieses Beispiel, sondern das letzte unten.

///

```Python hl_lines="15-26"
{!> ../../docs_src/schema_extra_example/tutorial001.py!}
```

////

//// tab | Python 3.8+ Pydantic v1

```Python hl_lines="15-25"
{!> ../../docs_src/schema_extra_example/tutorial001_pv1.py!}
```

////

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

//// tab | Pydantic v2

```Python hl_lines="15-26"
{!> ../../docs_src/schema_extra_example/tutorial001.py!}
```

////

//// tab | Python 3.8+ Pydantic v1

```Python hl_lines="15-25"
{!> ../../docs_src/schema_extra_example/tutorial001_pv1.py!}
```

////

Diese zusätzlichen Informationen werden unverändert zum für dieses Modell ausgegebenen **JSON-Schema** hinzugefügt und in der API-Dokumentation verwendet.

//// tab | Pydantic v2