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  1. docs_src/sql_databases_peewee/sql_app/crud.py

    from . import models, schemas
    
    
    def get_user(user_id: int):
        return models.User.filter(models.User.id == user_id).first()
    
    
    def get_user_by_email(email: str):
        return models.User.filter(models.User.email == email).first()
    
    
    def get_users(skip: int = 0, limit: int = 100):
        return list(models.User.select().offset(skip).limit(limit))
    
    
    def create_user(user: schemas.UserCreate):
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Thu Mar 26 19:09:53 UTC 2020
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  2. docs/de/docs/tutorial/handling-errors.md

    Das folgende sind technische Details, die Sie überspringen können, wenn sie für Sie nicht wichtig sind.
    
    ///
    
    `RequestValidationError` ist eine Unterklasse von Pydantics <a href="https://pydantic-docs.helpmanual.io/usage/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  3. tests/test_tutorial/test_path_params/test_tutorial005.py

    client = TestClient(app)
    
    
    def test_get_enums_alexnet():
        response = client.get("/models/alexnet")
        assert response.status_code == 200
        assert response.json() == {"model_name": "alexnet", "message": "Deep Learning FTW!"}
    
    
    def test_get_enums_lenet():
        response = client.get("/models/lenet")
        assert response.status_code == 200
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Thu Sep 28 04:14:40 UTC 2023
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  4. docs/ja/docs/tutorial/handling-errors.md

    ```JSON
    {
      "title": "towel",
      "size": "XL"
    }
    ```
    
    受信したボディを含むデータが無効であることを示すレスポンスが表示されます:
    
    ```JSON hl_lines="12 13 14 15"
    {
      "detail": [
        {
          "loc": [
            "body",
            "size"
          ],
          "msg": "value is not a valid integer",
          "type": "type_error.integer"
        }
      ],
      "body": {
        "title": "towel",
        "size": "XL"
      }
    }
    ```
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  5. docs/en/docs/advanced/dataclasses.md

    * data validation
    * data serialization
    * data documentation, etc.
    
    This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.
    
    /// info
    
    Keep in mind that dataclasses can't do everything Pydantic models can do.
    
    So, you might still need to use Pydantic models.
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  6. docs/zh/docs/tutorial/handling-errors.md

    现在试着发送一个无效的 `item`,例如:
    
    ```JSON
    {
      "title": "towel",
      "size": "XL"
    }
    
    ```
    
    收到的响应包含 `body` 信息,并说明数据是无效的:
    
    ```JSON hl_lines="12-15"
    {
      "detail": [
        {
          "loc": [
            "body",
            "size"
          ],
          "msg": "value is not a valid integer",
          "type": "type_error.integer"
        }
      ],
      "body": {
        "title": "towel",
        "size": "XL"
      }
    }
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
    - 8.4K bytes
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  7. docs/en/docs/advanced/generate-clients.md

    You can see those schemas because they were declared with the models in the app.
    
    That information is available in the app's **OpenAPI schema**, and then shown in the API docs (by Swagger UI).
    
    And that same information from the models that is included in OpenAPI is what can be used to **generate the client code**.
    
    ### Generate a TypeScript Client
    
    Now that we have the app with the models, we can generate the client code for the frontend.
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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  8. docs/en/docs/tutorial/sql-databases.md

    We'll fix these things by adding a few **extra models**. Here's where SQLModel will shine. ✨
    
    ### Create Multiple Models
    
    In **SQLModel**, any model class that has `table=True` is a **table model**.
    
    And any model class that doesn't have `table=True` is a **data model**, these ones are actually just Pydantic models (with a couple of small extra features). 🤓
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Wed Oct 09 19:44:42 UTC 2024
    - 14.7K bytes
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  9. docs/en/docs/tutorial/body-updates.md

    To distinguish from the models with all optional values for **updates** and models with required values for **creation**, you can use the ideas described in [Extra Models](extra-models.md){.internal-link target=_blank}.
    
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
    - 5.6K bytes
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  10. tests/test_tutorial/test_handling_errors/test_tutorial005.py

                        "type": "type_error.integer",
                    }
                ],
                "body": {"title": "towel", "size": "XL"},
            }
        )
    
    
    def test_post():
        data = {"title": "towel", "size": 5}
        response = client.post("/items/", json=data)
        assert response.status_code == 200, response.text
        assert response.json() == data
    
    
    def test_openapi_schema():
    Registered: Sun Oct 27 07:19:11 UTC 2024
    - Last Modified: Thu Apr 18 19:40:57 UTC 2024
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