[Outros patrocinadores](https://fastapi.tiangolo.com/pt/fastapi-people/#sponsors)

## Opiniões { #opinions }

"_[...] Estou usando **FastAPI** muito esses dias. [...] Estou na verdade planejando utilizar ele em todos os times de **serviços ML na Microsoft**. Alguns deles estão sendo integrados no _core_ do produto **Windows** e alguns produtos **Office**._"

 * other words, the model resolver is stateful and should not be reused across multiple model building requests.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface ModelResolver {

    /**
     * Tries to resolve the POM for the specified coordinates.
     *

import org.apache.maven.model.resolution.WorkspaceModelResolver;

/**
 * Collects settings that control building of effective models.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public class DefaultModelBuildingRequest implements ModelBuildingRequest {

    private Model rawModel;

    private File pomFile;

import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.app.pager.RolePager;
import org.codelibs.fess.app.service.RoleService;
import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.base.FessAdminAction;
import org.codelibs.fess.opensearch.user.exentity.Role;
import org.codelibs.fess.util.ComponentUtil;

import org.codelibs.core.beans.util.BeanUtil;
import org.codelibs.fess.Constants;
import org.codelibs.fess.annotation.Secured;
import org.codelibs.fess.app.pager.BoostDocPager;
import org.codelibs.fess.app.service.BoostDocumentRuleService;
import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.base.FessAdminAction;
import org.codelibs.fess.helper.SystemHelper;

/// info | Información

Añadido en FastAPI 0.134.0.

///

## Casos de uso { #use-cases }

Podrías usar esto si quieres transmitir strings puros, por ejemplo directamente de la salida de un servicio de AI LLM.

También podrías usarlo para transmitir archivos binarios grandes, donde transmites cada bloque de datos a medida que lo lees, sin tener que leerlo todo en memoria de una sola vez.

func newUnsignedV4ChunkedReader(req *http.Request, trailer bool, signature bool) (io.ReadCloser, APIErrorCode) {
	if signature {
		if errCode := doesSignatureMatch(unsignedPayloadTrailer, req, globalSite.Region(), serviceS3); errCode != ErrNone {
			return nil, errCode
		}
	}
	if trailer {
		// Discard anything unsigned.
		req.Trailer = make(http.Header)
		trailers := req.Header.Values(awsTrailerHeader)

import java.lang.reflect.Field;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.atomic.AtomicBoolean;

import org.codelibs.fess.app.service.FailureUrlService;
import org.codelibs.fess.ds.DataStore;
import org.codelibs.fess.ds.DataStoreFactory;
import org.codelibs.fess.ds.callback.IndexUpdateCallback;
import org.codelibs.fess.entity.DataStoreParams;

package org.codelibs.fess.helper;

import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;

import org.codelibs.fess.app.service.LabelTypeService;
import org.codelibs.fess.entity.SearchRequestParams.SearchRequestType;
import org.codelibs.fess.helper.LabelTypeHelper.LabelTypePattern;
import org.codelibs.fess.opensearch.config.exentity.LabelType;

import java.lang.reflect.Field;
import java.util.Collections;
import java.util.concurrent.atomic.AtomicReference;

import org.codelibs.fess.Constants;
import org.codelibs.fess.app.service.ScheduledJobService;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.ApiResult.ApiStartJobResponse;
import org.codelibs.fess.opensearch.config.exentity.ScheduledJob;