assert app.openapi()["components"]["schemas"][body_model_name] == {
        "properties": {
            "p": {
                "anyOf": [
                    {"type": "string", "contentMediaType": "application/octet-stream"},
                    {"type": "null"},
                ],
                "title": "P",
            }
        },
        "title": body_model_name,
        "type": "object",
    }

<img src="/img/tutorial/generate-clients/image04.png">

L’objet de réponse aura également l’autocomplétion :

<img src="/img/tutorial/generate-clients/image05.png">

## Application FastAPI avec des tags { #fastapi-app-with-tags }

Dans de nombreux cas, votre application FastAPI sera plus grande, et vous utiliserez probablement des tags pour séparer différents groupes de *chemins d'accès*.

                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {

# Debugging { #debugging }

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn` { #call-uvicorn }

In your FastAPI application, import and run `uvicorn` directly:

{* ../../docs_src/debugging/tutorial001_py310.py hl[1,15] *}

### About `__name__ == "__main__"` { #about-name-main }

Das ist keine Limitation von **FastAPI**, sondern Teil des HTTP-Protokolls.

///

## Zusammenfassung { #recap }

        "properties": {
            "p": {
                "type": "array",
                "items": {
                    "type": "string",
                    "contentMediaType": "application/octet-stream",
                },
                "title": "P",
            },
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }

# Migrer de Pydantic v1 à Pydantic v2 { #migrate-from-pydantic-v1-to-pydantic-v2 }

Si vous avez une ancienne application FastAPI, vous utilisez peut-être Pydantic version 1.

FastAPI version 0.100.0 prenait en charge soit Pydantic v1 soit v2. Il utilisait celle que vous aviez installée.

FastAPI version 0.119.0 a introduit une prise en charge partielle de Pydantic v1 depuis l'intérieur de Pydantic v2 (comme `pydantic.v1`), pour faciliter la migration vers v2.

But then the attackers try with username `stanleyjobsox` and password `love123`.

And your application code does something like:

```Python
if "stanleyjobsox" == "stanleyjobson" and "love123" == "swordfish":
    ...
```

                                "content": {"application/json": {"schema": {}}},
                            },
                            "422": {
                                "description": "Validation Error",
                                "content": {
                                    "application/json": {
                                        "schema": {

### Java
```java
MockResponse response = new MockResponse.Builder()
    .addHeader("Content-Type", "application/json; charset=utf-8")
    .addHeader("Cache-Control", "no-cache")
    .body("{}")
    .build();
```

### Kotlin
```kotlin
val response = MockResponse.Builder()
  .addHeader("Content-Type", "application/json; charset=utf-8")
  .addHeader("Cache-Control", "no-cache")
  .body("{}")
  .build()
```