from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, create_engine, select


class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

import org.opensearch.action.search.SearchResponse;
import org.opensearch.cluster.metadata.AliasMetadata;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.transport.client.Client;

/**
 * The Suggester class provides functionality for managing and querying suggestion indices.

                                    <tr>
                                        <th><la:message key="labels.key_match_query"/></th>
                                        <td>${f:h(query)}<la:hidden property="query"/></td>
                                    </tr>
                                    <tr>
                                        <th><la:message key="labels.key_match_size"/></th>

* path operation: path operation (do not translate to "operación de ruta")
* path (as in URL path): path (do not translate to "ruta")
* query (as in URL query): query (do not translate to "consulta")
* cookie (as in HTTP cookie): cookie
* header (as in HTTP header): header
* form (as in HTML form): formulario
* type checks: chequeo de tipos
* parse: parse
* parsing: parsing

Ahí puedes establecer:

* El "ID del Ítem", usado en el path.
* El "Token" usado como un parámetro query.

/// tip | Consejo

Nota que el query `token` será manejado por una dependencia.

///

Con eso puedes conectar el WebSocket y luego enviar y recibir mensajes:

<img src="/img/tutorial/websockets/image05.png">

from typing import Annotated, Union

from fastapi import Depends, FastAPI, HTTPException, Query
from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"

	for i, testCase := range testCases {
		// Turn the map[string]string into map[string][]string, because Go.
		query := url.Values{}
		for key, value := range testCase.queryParams {
			query.Set(key, value)
		}

		// Create a request to use.
		req, e := http.NewRequest(http.MethodGet, "http://host/a/b?"+query.Encode(), nil)
		if e != nil {
			t.Errorf("(%d) failed to create http.Request, got %v", i, e)
		}

            "Integer", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnQuery = cci("query", "query", null, null, String.class, "query", null, false, false, false, "keyword",
            0, 0, null, null, false, null, null, null, null, null, false);

**Fess Suggest** delivers auto-completion, search suggestions, and popular word analytics with multi-language support.

**Technology Stack:**
- Java 21+, Maven
- OpenSearch (provided dependency)
- Apache Lucene (query parsing, text analysis)
- ICU4J (Unicode text processing)
- JUnit 4 (testing)

**Repository:** https://github.com/codelibs/fess-suggest

---

## Architecture

### Package Structure

```