"""
        ),
    ] = None,
    init_oauth: Annotated[
        dict[str, Any] | None,
        Doc(
            """
            A dictionary with Swagger UI OAuth2 initialization configurations.

            Read more about the available configuration options in the
            [Swagger UI docs](https://swagger.io/docs/open-source-tools/swagger-ui/usage/oauth2/).

* the CLI
* the command line interface

* the server
* the client

* the cloud provider
* the cloud service

* the development
* the development stages

* the dict
* the dictionary
* the enumeration
* the enum
* the enum member

* the encoder
* the decoder
* to encode
* to decode

* the exception
* to raise

* the expression
* the statement

///

### Checking the current `root_path` { #checking-the-current-root-path }

You can get the current `root_path` used by your application for each request, it is part of the `scope` dictionary (that's part of the ASGI spec).

Here we are including it in the message just for demonstration purposes.

{* ../../docs_src/behind_a_proxy/tutorial001_py310.py hl[8] *}

Then, if you start Uvicorn with:

#### A Random Item { #a-random-item }

With `data.items()` we get an <dfn title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</dfn> with tuples containing the key and value for each dictionary item.

We convert this iterable object into a proper `list` with `list(data.items())`.

    """

    def __init__(
        self,
        *,
        flows: Annotated[
            OAuthFlowsModel | dict[str, dict[str, Any]],
            Doc(
                """
                The dictionary of OAuth2 flows.
                """
            ),
        ] = OAuthFlowsModel(),
        scheme_name: Annotated[
            str | None,
            Doc(
                """

        "keywords_path": "${fess.dictionary.path}da/protwords.txt"
      },
      "danish_stemmer": {
        "type":       "stemmer",
        "language":   "danish"
      },
      "dutch_stop": {
        "type":       "stop",
        "stopwords":  "_dutch_"
      },
      "dutch_keywords": {
        "type":       "keyword_marker",
        "keywords_path": "${fess.dictionary.path}nl/protwords.txt"
      },

          "type": "mapping",
          "mappings_path": "${fess.dictionary.path}fa/mapping.txt"
        },
        "mapping_ja_filter": {
          "type": "mapping",
          "mappings_path": "${fess.dictionary.path}ja/mapping.txt"
        },
        "mapping_filter": {
          "type": "mapping",
          "mappings_path": "${fess.dictionary.path}mapping.txt"
        },
        "traditional_chinese_convert": {

                int | type[Exception],
                Callable[[Request, Any], Coroutine[Any, Any, Response]],
            ]
            | None,
            Doc(
                """
                A dictionary with handlers for exceptions.

                In FastAPI, you would normally use the decorator
                `@app.exception_handler()`.

                Read more in the

Fess uses OpenSearch/Elasticsearch internally, so you can:

1. Export index mappings and settings from source
2. Apply custom analyzers in Fess's `fess_config.properties`
3. Create synonym dictionaries in Fess's dictionary directory

---

### Apache Solr

For migrating from Apache Solr:

#### Document Export and Import

**Step 1: Export from Solr**

```bash
# Export Solr documents as JSON

    assert response.json() == {
        "detail": [
            {
                "type": "model_attributes_type",
                "loc": ["body"],
                "msg": "Input should be a valid dictionary or object to extract fields from",
                "input": "name=Foo&price=50.5",
            }
        ]
    }


def test_explicit_content_type(client: TestClient):
    response = client.post(