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docs_src/path_operation_advanced_configuration/tutorial007.py
class Item(BaseModel): name: str tags: List[str] @app.post( "/items/", openapi_extra={ "requestBody": { "content": {"application/x-yaml": {"schema": Item.model_json_schema()}}, "required": True, }, }, ) async def create_item(request: Request): raw_body = await request.body() try: data = yaml.safe_load(raw_body)
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 822 bytes - Viewed (0) -
docs/de/docs/advanced/path-operation-advanced-configuration.md
``` //// /// 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()`. /// Obwohl wir nicht die standardmäßig integrierte Funktionalität verwenden, verwenden wir dennoch ein Pydantic-Modell, um das JSON-Schema für die Daten, die wir in YAML empfangen möchten, manuell zu generieren.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 06 20:36:54 UTC 2024 - 8.5K bytes - Viewed (0) -
docs/en/docs/advanced/path-operation-advanced-configuration.md
``` //// /// 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()`. /// Nevertheless, although we are not using the default integrated functionality, we are still using a Pydantic model to manually generate the JSON Schema for the data that we want to receive in YAML.
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