else "validation"
    )
    field_alias = (
        (field.validation_alias or field.alias)
        if field.mode == "validation"
        else (field.serialization_alias or field.alias)
    )

    # This expects that GenerateJsonSchema was already used to generate the definitions
    json_schema = field_mapping[(field, override_mode or field.mode)]

    # Core Vocabulary
    schema_: Optional[str] = Field(default=None, alias="$schema")
    vocabulary: Optional[str] = Field(default=None, alias="$vocabulary")
    id: Optional[str] = Field(default=None, alias="$id")
    anchor: Optional[str] = Field(default=None, alias="$anchor")
    dynamicAnchor: Optional[str] = Field(default=None, alias="$dynamicAnchor")
    ref: Optional[str] = Field(default=None, alias="$ref")

        }
        if (DEFAULT_FIELD.equals(field)) {
            return convertDefaultTermQuery(fessConfig, context, termQuery, boost, field, text);
        }
        if (SORT_FIELD.equals(field)) {
            return convertSortQuery(fessConfig, context, termQuery, boost, field, text);
        }
        if (SITE_FIELD.equals(field)) {

     * @param field the field name to check
     * @return true if the field can be used for sorting, false otherwise
     */
    protected boolean isSortField(final String field) {
        return sortFieldSet != null && sortFieldSet.contains(field);
    }

    /**
     * Checks if the specified field can be used for faceted search.
     * Uses O(1) Set lookup for improved performance.
     *
     * @param field the field name to check

                is_scalar_field(field)
                or is_scalar_sequence_field(field)
                or (
                    lenient_issubclass(field.type_, BaseModel)
                    # For Pydantic v1
                    and getattr(field, "shape", 1) == 1
                )
            )

    return ParamDetails(type_annotation=type_annotation, depends=depends, field=field)

# Field name for document ID in the index.
index.field.doc_id=doc_id
# Field name for internal ID in the index.
index.field.id=_id
# Field name for version in the index.
index.field.version=_version
# Field name for sequence number in the index.
index.field.seq_no=_seq_no
# Field name for primary term in the index.
index.field.primary_term=_primary_term
# Field name for language in the index.
index.field.lang=lang

## Importar `Field` { #import-field }

Primero, tienes que importarlo:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Advertencia

Fíjate que `Field` se importa directamente desde `pydantic`, no desde `fastapi` como el resto (`Query`, `Path`, `Body`, etc).

///

    from fastapi._compat import v2

    field_info = FieldInfo(annotation=Union[list[str], None])
    field = v2.ModelField(name="items", field_info=field_info)
    result = v2.serialize_sequence_value(field=field, value=["a", "b", "c"])
    assert result == ["a", "b", "c"]
    assert isinstance(result, list)


@needs_py310

from typing import Annotated

import pytest
from dirty_equals import IsOneOf
from fastapi import FastAPI, Query
from fastapi.testclient import TestClient
from pydantic import BaseModel, Field

app = FastAPI()

# =====================================================================================
# Without aliases


@app.get("/required-list-str")
async def read_required_list_str(p: Annotated[list[str], Query()]):
    return {"p": p}

            """
            'Whitelist' validation step. The parameter field will be the single one
            allowed by the alias or set of aliases defined.
            """
        ),
    ] = None,
    serialization_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Blacklist' validation step. The vanilla parameter field will be the