refactor(project): Reorganize frontend and backend directories

2026-03-18 10:45:15 +08:00
parent cc9eaf4cdf
commit 92a139e470
513 changed files with 28251 additions and 287 deletions
@@ -0,0 +1,72 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="com.nuaa.video.recommend.mapper.RecommendUserBehaviorMapper">
+
+    <!-- 获取用户行为记录的视频ID列表 -->
+    <select id="selectUserBehaviorVideoIds" resultType="java.lang.Long">
+        SELECT DISTINCT video_id
+        FROM recommend_user_behavior
+        WHERE user_id = #{userId}
+        <if test="behaviorTypes != null and behaviorTypes.size > 0">
+            AND behavior_type IN
+            <foreach collection="behaviorTypes" item="type" open="(" separator="," close=")">
+                #{type}
+            </foreach>
+        </if>
+        ORDER BY create_time DESC
+        LIMIT #{limit}
+    </select>
+
+    <!-- 统计用户分类行为数量 -->
+    <select id="countUserCategoryBehaviors" resultType="java.util.Map">
+        SELECT c.category_id as categoryId, COUNT(1) as count
+        FROM recommend_user_behavior b
+        JOIN video_content.content_video v ON b.video_id = v.id
+        JOIN video_content.content_category c ON v.category_id = c.id
+        WHERE b.user_id = #{userId}
+        <if test="startTime != null">
+            AND b.create_time >= #{startTime}
+        </if>
+        GROUP BY c.category_id
+    </select>
+
+    <!-- 统计用户标签行为数量 -->
+    <select id="countUserTagBehaviors" resultType="java.util.Map">
+        SELECT vt.tag_id as tagId, COUNT(1) as count
+        FROM recommend_user_behavior b
+        JOIN video_content.content_video_tag vt ON b.video_id = vt.video_id
+        WHERE b.user_id = #{userId}
+        <if test="startTime != null">
+            AND b.create_time >= #{startTime}
+        </if>
+        GROUP BY vt.tag_id
+    </select>
+
+    <!-- 获取热门视频 -->
+    <select id="selectHotVideos" resultType="java.util.Map">
+        SELECT
+        video_id as videoId,
+        SUM(
+        CASE
+        <foreach collection="weights.entrySet()" item="entry">
+            WHEN behavior_type = #{entry.key} THEN behavior_weight * #{entry.value}
+        </foreach>
+        ELSE behavior_weight
+        END
+        ) as score
+        FROM recommend_user_behavior
+        WHERE
+        <if test="startTime != null">
+            create_time >= #{startTime}
+        </if>
+        <if test="behaviorTypes != null and behaviorTypes.size > 0">
+            AND behavior_type IN
+            <foreach collection="behaviorTypes" item="type" open="(" separator="," close=")">
+                #{type}
+            </foreach>
+        </if>
+        GROUP BY video_id
+        ORDER BY score DESC
+        LIMIT #{limit}
+    </select>
+</mapper>