from typing import Dict

from fastapi import FastAPI

app = FastAPI()


@app.get("/keyword-weights/", response_model=Dict[str, float])
async def read_keyword_weights():

        final String key = ComponentUtil.getVirtualHostHelper().getVirtualHostKey();
        keywordList.stream().forEach(keyword -> {
            final List<Tuple3<String, QueryBuilder, ScoreFunctionBuilder<?>>> boostList = getQueryMap(key).get(toLowerCase(keyword));
            if (boostList != null) {
                boostList.forEach(pair -> list.add(new FilterFunctionBuilder(pair.getValue2(), pair.getValue3())));

  "fess_user.group" : {
    "aliases" : { },
    "mappings" : {
      "group" : {
        "properties" : {
          "gidNumber" : {
            "type" : "long"
          },
          "name" : {
            "type" : "keyword"
          }
        }
      }
    },
    "settings" : {
      "index" : {
        "creation_date" : "1509021058796",
        "number_of_shards" : "5",
        "number_of_replicas" : "1",

{
  "fess_user.role" : {
    "aliases" : { },
    "mappings" : {
      "role" : {
        "properties" : {
          "name" : {
            "type" : "keyword"
          }
        }
      }
    },
    "settings" : {
      "index" : {
        "creation_date" : "1509021059090",
        "number_of_shards" : "5",
        "number_of_replicas" : "1",
        "uuid" : "ugUWT7UpRCau5xEMgWOBsw",
        "version" : {

but wouldn't normally show a visible\n// focus outline. In general, this would mean that the outline is only applied if the\n// interaction that led to the element receiving programmatic focus was a keyboard interaction,\n// or the browser has somehow determined that the user is primarily a keyboard user and/or\n// wants focus outlines to always be presented.\n//\n// See https://developer.mozilla.org/en-US/docs/Web/CSS/:focus-visible\n// and https://developer.paciellogroup.com/blog/2018/03/focus...

            0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnSessionId = cci("sessionId", "sessionId", null, null, String.class, "sessionId", null, false, false,
            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);

import org.apache.maven.api.annotations.Nonnull;

/**
 * A version or meta-version of an artifact or a dependency.
 * A meta-version is a version suffixed with the {@code SNAPSHOT} keyword.
 * Versions are usually parsed using the {@link org.apache.maven.api.services.VersionParser} service.
 *
 * @since 4.0.0
 * @see org.apache.maven.api.services.VersionParser#parseVersion(String)

    <glob pattern="*.cmc"/>
  </mime-type>
  <mime-type type="application/vnd.crick.clicker">
    <glob pattern="*.clkx"/>
  </mime-type>
  <mime-type type="application/vnd.crick.clicker.keyboard">
    <glob pattern="*.clkk"/>
  </mime-type>
  <mime-type type="application/vnd.crick.clicker.palette">
    <glob pattern="*.clkp"/>
  </mime-type>
  <mime-type type="application/vnd.crick.clicker.template">

///

## Recap

You can use Pydantic's `Field` to declare extra validations and metadata for model attributes.

            This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,
    alias_priority: Annotated[
        Union[int, None],
        Doc(
            """