package com.iplatform.recvideo.service;
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import com.iplatform.model.po.Rc_video_t1;
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import com.iplatform.model.po.Rc_video_t2;
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import com.iplatform.model.po.Rc_video_user;
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import com.walker.infrastructure.utils.DateUtils;
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import com.walker.infrastructure.utils.StringUtils;
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import com.walker.jdbc.service.BaseServiceImpl;
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import org.springframework.stereotype.Service;
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import java.util.List;
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import java.util.Map;
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@Service
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public class VideoExecutorServiceImpl extends BaseServiceImpl {
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private static final String SQL_CHECK_VIDEO_STATUS = "select * from milvus_video_status where id=?";
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private static final String SQL_CLEAR_VIDEO_T1 = "delete from rc_video_t1 where src_img=?";
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private static final String SQL_CLEAR_VIDEO_T2 = "delete from rc_video_t2 where src_video_id=?";
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private static final String SQL_GET_BATCH_VIDEO = "select user_id, src_video_id from rc_video_batch where batch_id=?";
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private static final String SQL_UPDATE_TASK_STATUS_LOAD = "update rc_task_status set status='1', end_time=? where last_value=? and status='0'";
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private static final String SQL_IGNORE_TASK_STATUS_LOAD = "update rc_task_status set status='1', msg='ignore' where last_value=? and status='0' and task_type='video_load'";
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/**
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* 写入视频相似度第一级临时数据，每个图像包含多个相似视频记录。
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* @param list
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* @param srcImageId 原始图像ID
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*/
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public void execBatchInsertVideoT1(List<Rc_video_t1> list, String srcImageId){
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// 写入新数据之前，先清除老视频数据，后续分析避免数据重复(每个视频)
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this.execute(SQL_CLEAR_VIDEO_T1, new Object[]{srcImageId});
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this.insert(list);
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}
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/**
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* 写入视频相似度第二临时数据，每个原始视频对应多个相似视频，已排序存储。
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* @param list
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* @param srcVideoId
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*/
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public void execBatchInsertVideoT2(List<Rc_video_t2> list, String srcVideoId){
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this.execute(SQL_CLEAR_VIDEO_T2, new Object[]{srcVideoId});
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this.insert(list);
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}
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/**
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* 写入用户推荐视频记录集合，并更新批次任务状态为(已完成)
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* @param videoUserList
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* @param batchId
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*/
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public void execBatchInsertVideoUser(List<Rc_video_user> videoUserList, String batchId){
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this.insert(videoUserList);
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Object[] param = new Object[2];
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param[0] = Long.parseLong(DateUtils.getDateTimeSecondForShow());
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param[1] = Long.parseLong(batchId);
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this.execute(SQL_UPDATE_TASK_STATUS_LOAD, param);
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}
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public void execIgnoreTaskStatus(String batchId){
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this.execute(SQL_IGNORE_TASK_STATUS_LOAD, new Object[]{Long.parseLong(batchId)});
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}
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/**
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* 返回一个批次用户对应视频记录集合，用于最后更新用户推荐视频数据。
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* @param batchId
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* @return
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* @date 2022-09-26
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*/
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public List<Map<String, Object>> queryBatchUserVideoList(String batchId){
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return this.select(SQL_GET_BATCH_VIDEO, new Object[]{batchId});
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}
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public List<Rc_video_t2> queryVideoT_2List(String batchId){
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return this.select(new Rc_video_t2(), "where batch_id=?", new Object[]{batchId});
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}
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/**
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* 根据原始视频ID返回相似记录集合。
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* @param srcVideoId
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* @return
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*/
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public List<Rc_video_t1> queryVideoT_1List(String srcVideoId){
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return this.select(new Rc_video_t1(), "where src_video_id=?", new Object[]{srcVideoId});
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}
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/**
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* 查询视频加载状态表，是否已经完成加载(第一步)，如果记录不存在说明还没有开始加载。
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* @param videoStatusId
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* @return
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*/
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public boolean queryLoadVideoDone(String videoStatusId){
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Map<String, Object> map = this.get(SQL_CHECK_VIDEO_STATUS, new Object[]{videoStatusId});
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if(map == null){
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return false;
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}
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int status = Integer.parseInt(map.get("status").toString());
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if(status == 1){
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return true;
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}
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return false;
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}
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}
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