package com.rj.dto;

import io.swagger.v3.oas.annotations.media.Schema;
import lombok.Data;

import java.time.LocalDateTime;
import java.util.List;

/**
 * 语音转文本响应DTO
 * 
 * @author rj
 * @date 2025-01-02
 */
@Data
@Schema(description = "语音转文本响应结果")
public class AsrResponse {
    
    /**
     * 是否成功
     */
    @Schema(description = "是否成功")
    private boolean success;
    
    /**
     * 消息
     */
    @Schema(description = "响应消息")
    private String message;
    
    /**
     * 识别结果文本
     */
    @Schema(description = "识别结果文本")
    private String text;
    
    /**
     * 识别结果列表（包含时间戳和说话人信息）
     */
    @Schema(description = "识别结果列表")
    private List<AsrResult> results;
    
    /**
     * 音频时长（秒）
     */
    @Schema(description = "音频时长（秒）")
    private Double duration;
    
    /**
     * 处理时间（毫秒）
     */
    @Schema(description = "处理时间（毫秒）")
    private Long processingTimeMs;
    
    /**
     * 任务ID
     */
    @Schema(description = "任务ID")
    private String taskId;
    
    /**
     * 请求ID
     */
    @Schema(description = "请求ID")
    private String requestId;
    
    /**
     * 错误代码
     */
    @Schema(description = "错误代码")
    private String errorCode;
    
    /**
     * 错误信息
     */
    @Schema(description = "错误信息")
    private String errorMessage;
    
    /**
     * 创建时间
     */
    @Schema(description = "创建时间")
    private LocalDateTime createTime;
    
    /**
     * 识别结果详情
     */
    @Data
    @Schema(description = "识别结果详情")
    public static class AsrResult {
        
        /**
         * 开始时间（秒）
         */
        @Schema(description = "开始时间（秒）")
        private Double startTime;
        
        /**
         * 结束时间（秒）
         */
        @Schema(description = "结束时间（秒）")
        private Double endTime;
        
        /**
         * 识别文本
         */
        @Schema(description = "识别文本")
        private String text;
        
        /**
         * 说话人ID
         */
        @Schema(description = "说话人ID")
        private String speakerId;
        
        /**
         * 置信度
         */
        @Schema(description = "置信度")
        private Double confidence;
    }
    
    /**
     * 创建成功响应
     */
    public static AsrResponse success(String text, List<AsrResult> results, Double duration, 
                                    Long processingTimeMs, String taskId, String requestId) {
        AsrResponse response = new AsrResponse();
        response.setSuccess(true);
        response.setMessage("语音识别成功");
        response.setText(text);
        response.setResults(results);
        response.setDuration(duration);
        response.setProcessingTimeMs(processingTimeMs);
        response.setTaskId(taskId);
        response.setRequestId(requestId);
        response.setCreateTime(LocalDateTime.now());
        return response;
    }
    
    /**
     * 创建错误响应
     */
    public static AsrResponse error(String message) {
        return error(message, null, null);
    }
    
    /**
     * 创建错误响应
     */
    public static AsrResponse error(String message, String errorCode, String errorMessage) {
        AsrResponse response = new AsrResponse();
        response.setSuccess(false);
        response.setMessage(message);
        response.setErrorCode(errorCode);
        response.setErrorMessage(errorMessage);
        response.setCreateTime(LocalDateTime.now());
        return response;
    }
}