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docs/en/docs/tutorial/extra-models.md
As in the example above we got `user_dict` from `user_in.model_dump()`, this code: ```Python user_dict = user_in.model_dump() UserInDB(**user_dict) ``` would be equivalent to: ```Python UserInDB(**user_in.model_dump()) ``` ...because `user_in.model_dump()` is a `dict`, and then we make Python "unpack" it by passing it to `UserInDB` prefixed with `**`.
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 6.9K bytes - Viewed (0) -
docs/es/docs/tutorial/body-updates.md
Como `item.model_dump(exclude_unset=True)`. /// info | Información En Pydantic v1 el método se llamaba `.dict()`, fue deprecado (pero aún soportado) en Pydantic v2, y renombrado a `.model_dump()`. Los ejemplos aquí usan `.dict()` para compatibilidad con Pydantic v1, pero deberías usar `.model_dump()` si puedes usar Pydantic v2. ///
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Tue Dec 16 16:33:45 UTC 2025 - 5.1K bytes - Viewed (0) -
docs/de/docs/tutorial/body-updates.md
/// ### Pydantics `exclude_unset`-Parameter verwenden { #using-pydantics-exclude-unset-parameter } Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter in der `.model_dump()`-Methode von Pydantic-Modellen sehr nützlich. Wie in `item.model_dump(exclude_unset=True)`.Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 24 10:28:19 UTC 2025 - 5.1K bytes - Viewed (0) -
docs_src/body/tutorial003_py310.py
price: float tax: float | None = None app = FastAPI() @app.put("/items/{item_id}") async def update_item(item_id: int, item: Item):Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 330 bytes - Viewed (0) -
docs_src/body/tutorial003_py39.py
price: float tax: Union[float, None] = None app = FastAPI() @app.put("/items/{item_id}") async def update_item(item_id: int, item: Item):Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 368 bytes - Viewed (0) -
docs_src/extra_models/tutorial002_py310.py
def fake_password_hasher(raw_password: str): return "supersecret" + raw_password def fake_save_user(user_in: UserIn): hashed_password = fake_password_hasher(user_in.password) user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password) print("User saved! ..not really") return user_in_db @app.post("/user/", response_model=UserOut) async def create_user(user_in: UserIn):
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 798 bytes - Viewed (0) -
docs_src/extra_models/tutorial002_py39.py
def fake_password_hasher(raw_password: str): return "supersecret" + raw_password def fake_save_user(user_in: UserIn): hashed_password = fake_password_hasher(user_in.password) user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password) print("User saved! ..not really") return user_in_db @app.post("/user/", response_model=UserOut) async def create_user(user_in: UserIn):
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 830 bytes - Viewed (0) -
docs_src/body_updates/tutorial002_py39.py
@app.patch("/items/{item_id}", response_model=Item) async def update_item(item_id: str, item: Item): stored_item_data = items[item_id] stored_item_model = Item(**stored_item_data) update_data = item.model_dump(exclude_unset=True) updated_item = stored_item_model.model_copy(update=update_data) items[item_id] = jsonable_encoder(updated_item)
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 1K bytes - Viewed (0) -
docs/de/docs/tutorial/extra-models.md
Da wir im obigen Beispiel `user_dict` von `user_in.model_dump()` bekommen haben, wäre dieser Code: ```Python user_dict = user_in.model_dump() UserInDB(**user_dict) ``` gleichwertig zu: ```Python UserInDB(**user_in.model_dump()) ```
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 24 10:28:19 UTC 2025 - 8K bytes - Viewed (0) -
docs_src/body_updates/tutorial002_py310.py
@app.patch("/items/{item_id}", response_model=Item) async def update_item(item_id: str, item: Item): stored_item_data = items[item_id] stored_item_model = Item(**stored_item_data) update_data = item.model_dump(exclude_unset=True) updated_item = stored_item_model.model_copy(update=update_data) items[item_id] = jsonable_encoder(updated_item)
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