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  1. docs/en/docs/how-to/conditional-openapi.md

    If you want to secure your API, there are several better things you can do, for example:
    
    * Make sure you have well defined Pydantic models for your request bodies and responses.
    * Configure any required permissions and roles using dependencies.
    * Never store plaintext passwords, only password hashes.
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  2. docs/en/docs/reference/openapi/index.md

    # OpenAPI
    
    There are several utilities to handle OpenAPI.
    
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  3. docs/missing-translation.md

    !!! warning
        The current page still doesn't have a translation for this language.
    
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  4. docs/en/docs/how-to/nosql-databases-couchbase.md

    Now, let's create a `UserInDB` model.
    
    This will have the data that is actually stored in the database.
    
    We don't create it as a subclass of Pydantic's `BaseModel` but as a subclass of our own `User`, because it will have all the attributes in `User` plus a couple more:
    
    ```Python hl_lines="31-33"
    {!../../../docs_src/nosql_databases/tutorial001.py!}
    ```
    
    !!! note
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  5. docs_src/query_params_str_validations/tutorial008.py

    
    @app.get("/items/")
    async def read_items(
        q: Union[str, None] = Query(
            default=None,
            title="Query string",
            description="Query string for the items to search in the database that have a good match",
            min_length=3,
        ),
    ):
        results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
        if q:
            results.update({"q": q})
    Python
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  6. docs_src/query_params_str_validations/tutorial010_an.py

        q: Annotated[
            Union[str, None],
            Query(
                alias="item-query",
                title="Query string",
                description="Query string for the items to search in the database that have a good match",
                min_length=3,
                max_length=50,
                pattern="^fixedquery$",
                deprecated=True,
            ),
        ] = None,
    ):
    Python
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  7. docs/en/docs/tutorial/metadata.md

    Each dictionary can contain:
    
    * `name` (**required**): a `str` with the same tag name you use in the `tags` parameter in your *path operations* and `APIRouter`s.
    * `description`: a `str` with a short description for the tag. It can have Markdown and will be shown in the docs UI.
    * `externalDocs`: a `dict` describing external documentation with:
        * `description`: a `str` with a short description for the external docs.
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  8. docs/en/docs/advanced/using-request-directly.md

    # Using the Request Directly
    
    Up to now, you have been declaring the parts of the request that you need with their types.
    
    Taking data from:
    
    * The path as parameters.
    * Headers.
    * Cookies.
    * etc.
    
    And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically.
    
    But there are situations where you might need to access the `Request` object directly.
    
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  9. docs/en/docs/tutorial/request-forms-and-files.md

    !!! warning
        You can declare multiple `File` and `Form` parameters in a *path operation*, but you can't also declare `Body` fields that you expect to receive as JSON, as the request will have the body encoded using `multipart/form-data` instead of `application/json`.
    
        This is not a limitation of **FastAPI**, it's part of the HTTP protocol.
    
    ## Recap
    
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  10. tests/test_tutorial/test_path_params/test_tutorial005.py

    
    def test_get_enums_resnet():
        response = client.get("/models/resnet")
        assert response.status_code == 200
        assert response.json() == {"model_name": "resnet", "message": "Have some residuals"}
    
    
    def test_get_enums_invalid():
        response = client.get("/models/foo")
        assert response.status_code == 422
        assert response.json() == IsDict(
            {
                "detail": [
    Python
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