Initial commit of akmon project
This commit is contained in:
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doc_zhipao/preferences_analytics_extension.sql
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422
doc_zhipao/preferences_analytics_extension.sql
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-- 训练偏好分析系统数据库扩展
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-- 用于支持训练偏好分析功能的表和函数
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-- 用户偏好历史记录表
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CREATE TABLE public.ak_user_preference_history (
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id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
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user_id uuid REFERENCES public.ak_users(id) ON DELETE CASCADE,
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sport_type_id uuid REFERENCES public.ak_sport_types(id),
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action_type VARCHAR(32) NOT NULL, -- 'created', 'updated', 'deleted', 'favorite_added', 'favorite_removed'
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old_values JSONB, -- 旧值
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new_values JSONB, -- 新值
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created_at TIMESTAMP WITH TIME ZONE DEFAULT now()
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);
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COMMENT ON TABLE public.ak_user_preference_history IS '用户偏好历史记录表';
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CREATE INDEX idx_preference_history_user_id ON public.ak_user_preference_history(user_id);
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CREATE INDEX idx_preference_history_action ON public.ak_user_preference_history(action_type);
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CREATE INDEX idx_preference_history_date ON public.ak_user_preference_history(created_at);
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-- 目标历史记录表
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CREATE TABLE public.ak_goal_progress_history (
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id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
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goal_id uuid REFERENCES public.ak_user_training_goals(id) ON DELETE CASCADE,
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user_id uuid REFERENCES public.ak_users(id) ON DELETE CASCADE,
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old_value FLOAT,
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new_value FLOAT,
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change_amount FLOAT,
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change_type VARCHAR(32), -- 'increase', 'decrease', 'target_adjusted'
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recorded_at TIMESTAMP WITH TIME ZONE DEFAULT now()
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);
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COMMENT ON TABLE public.ak_goal_progress_history IS '目标进度历史记录表';
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CREATE INDEX idx_goal_progress_history_goal_id ON public.ak_goal_progress_history(goal_id);
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CREATE INDEX idx_goal_progress_history_user_id ON public.ak_goal_progress_history(user_id);
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CREATE INDEX idx_goal_progress_history_date ON public.ak_goal_progress_history(recorded_at);
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-- 训练模式分析表
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CREATE TABLE public.ak_training_patterns (
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id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
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user_id uuid REFERENCES public.ak_users(id) ON DELETE CASCADE,
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pattern_type VARCHAR(32) NOT NULL, -- 'weekly_schedule', 'intensity_preference', 'duration_preference'
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pattern_data JSONB NOT NULL,
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confidence_score FLOAT DEFAULT 0.5, -- 置信度分数 0-1
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detected_at TIMESTAMP WITH TIME ZONE DEFAULT now(),
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updated_at TIMESTAMP WITH TIME ZONE DEFAULT now()
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);
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COMMENT ON TABLE public.ak_training_patterns IS '训练模式分析表';
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CREATE INDEX idx_training_patterns_user_id ON public.ak_training_patterns(user_id);
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CREATE INDEX idx_training_patterns_type ON public.ak_training_patterns(pattern_type);
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CREATE UNIQUE INDEX idx_training_patterns_unique ON public.ak_training_patterns(user_id, pattern_type);
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-- 个性化推荐记录表
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CREATE TABLE public.ak_personalized_recommendations (
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id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
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user_id uuid REFERENCES public.ak_users(id) ON DELETE CASCADE,
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recommendation_type VARCHAR(32) NOT NULL, -- 'sport', 'schedule', 'intensity', 'goal'
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title VARCHAR(128) NOT NULL,
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description TEXT,
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recommendation_data JSONB,
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reason TEXT, -- 推荐理由
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priority INT DEFAULT 1, -- 优先级 1-5
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status VARCHAR(16) DEFAULT 'pending', -- 'pending', 'viewed', 'applied', 'dismissed'
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created_at TIMESTAMP WITH TIME ZONE DEFAULT now(),
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viewed_at TIMESTAMP WITH TIME ZONE,
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applied_at TIMESTAMP WITH TIME ZONE
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);
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COMMENT ON TABLE public.ak_personalized_recommendations IS '个性化推荐记录表';
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CREATE INDEX idx_recommendations_user_id ON public.ak_personalized_recommendations(user_id);
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CREATE INDEX idx_recommendations_status ON public.ak_personalized_recommendations(status);
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CREATE INDEX idx_recommendations_type ON public.ak_personalized_recommendations(recommendation_type);
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-- 用户行为分析表
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CREATE TABLE public.ak_user_behavior_analytics (
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id uuid PRIMARY KEY DEFAULT gen_random_uuid(),
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user_id uuid REFERENCES public.ak_users(id) ON DELETE CASCADE,
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behavior_type VARCHAR(32) NOT NULL, -- 'preference_change', 'goal_setting', 'reminder_usage', 'device_sync'
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behavior_data JSONB,
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session_id uuid, -- 用于关联同一会话的行为
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created_at TIMESTAMP WITH TIME ZONE DEFAULT now()
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);
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COMMENT ON TABLE public.ak_user_behavior_analytics IS '用户行为分析表';
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CREATE INDEX idx_behavior_analytics_user_id ON public.ak_user_behavior_analytics(user_id);
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CREATE INDEX idx_behavior_analytics_type ON public.ak_user_behavior_analytics(behavior_type);
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CREATE INDEX idx_behavior_analytics_date ON public.ak_user_behavior_analytics(created_at);
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-- 创建获取用户偏好分析数据的函数
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CREATE OR REPLACE FUNCTION get_user_preferences_analytics(p_user_id uuid)
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RETURNS JSONB AS $$
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DECLARE
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result JSONB := '{}'::JSONB;
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favorite_count INT;
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weekly_hours FLOAT;
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category_stats JSONB;
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intensity_stats JSONB;
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trend_data JSONB;
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BEGIN
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-- 获取喜爱运动数量
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SELECT COUNT(*) INTO favorite_count
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FROM public.ak_user_sport_preferences
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WHERE user_id = p_user_id AND is_favorite = true;
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-- 计算每周训练时长
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SELECT COALESCE(SUM(frequency_per_week * duration_minutes), 0) / 60.0 INTO weekly_hours
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FROM public.ak_user_sport_preferences
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WHERE user_id = p_user_id;
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-- 获取运动类型分布
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SELECT jsonb_agg(
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jsonb_build_object(
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'category', st.category,
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'count', category_count,
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'percentage', ROUND((category_count::FLOAT / total_count::FLOAT) * 100, 1)
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)
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) INTO category_stats
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FROM (
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SELECT
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st.category,
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COUNT(*) as category_count,
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(SELECT COUNT(*) FROM public.ak_user_sport_preferences WHERE user_id = p_user_id) as total_count
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FROM public.ak_user_sport_preferences usp
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JOIN public.ak_sport_types st ON usp.sport_type_id = st.id
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WHERE usp.user_id = p_user_id
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GROUP BY st.category
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) category_data;
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-- 获取强度分析
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SELECT jsonb_agg(
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jsonb_build_object(
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'intensity_level', intensity_level,
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'count', level_count,
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'percentage', ROUND((level_count::FLOAT / total_count::FLOAT) * 100, 1)
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)
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) INTO intensity_stats
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FROM (
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SELECT
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intensity_level,
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COUNT(*) as level_count,
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(SELECT COUNT(*) FROM public.ak_user_sport_preferences WHERE user_id = p_user_id) as total_count
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FROM public.ak_user_sport_preferences
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WHERE user_id = p_user_id
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GROUP BY intensity_level
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) intensity_data;
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-- 获取趋势数据（最近30天的偏好变化）
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SELECT jsonb_agg(
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jsonb_build_object(
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'date', date_trunc('day', created_at),
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'action_type', action_type,
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'count', action_count
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)
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) INTO trend_data
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FROM (
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SELECT
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created_at,
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action_type,
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COUNT(*) as action_count
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FROM public.ak_user_preference_history
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WHERE user_id = p_user_id
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AND created_at >= NOW() - INTERVAL '30 days'
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GROUP BY date_trunc('day', created_at), action_type
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ORDER BY created_at DESC
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) trend_history;
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-- 构建结果
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result = jsonb_build_object(
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'favorite_count', favorite_count,
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'weekly_hours', weekly_hours,
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'category_distribution', COALESCE(category_stats, '[]'::JSONB),
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'intensity_analysis', COALESCE(intensity_stats, '[]'::JSONB),
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'trend_data', COALESCE(trend_data, '[]'::JSONB)
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);
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RETURN result;
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END;
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$$ LANGUAGE plpgsql SECURITY DEFINER;
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-- 创建生成个性化推荐的函数
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CREATE OR REPLACE FUNCTION generate_personalized_recommendations(p_user_id uuid)
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RETURNS VOID AS $$
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DECLARE
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user_preferences RECORD;
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recommendation_count INT;
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BEGIN
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-- 清理旧的待处理推荐
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DELETE FROM public.ak_personalized_recommendations
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WHERE user_id = p_user_id
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AND status = 'pending'
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AND created_at < NOW() - INTERVAL '7 days';
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-- 获取用户偏好信息
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SELECT
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COUNT(*) as total_preferences,
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COUNT(*) FILTER (WHERE is_favorite = true) as favorite_count,
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AVG(intensity_level) as avg_intensity,
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SUM(frequency_per_week * duration_minutes) as weekly_minutes
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INTO user_preferences
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FROM public.ak_user_sport_preferences
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WHERE user_id = p_user_id;
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-- 检查是否需要扩展运动偏好
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IF user_preferences.favorite_count < 3 THEN
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INSERT INTO public.ak_personalized_recommendations (
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user_id, recommendation_type, title, description, reason, priority
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) VALUES (
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p_user_id, 'sport', '扩展运动偏好',
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'尝试添加更多喜爱的运动类型，让训练更有趣',
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'当前喜爱运动少于3种', 3
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);
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END IF;
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-- 检查是否需要增加训练时间
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IF user_preferences.weekly_minutes < 180 THEN -- 少于3小时
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INSERT INTO public.ak_personalized_recommendations (
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user_id, recommendation_type, title, description, reason, priority
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) VALUES (
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p_user_id, 'schedule', '增加训练时间',
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'建议每周至少进行3小时的体育锻炼',
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'当前每周训练时间不足', 4
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);
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END IF;
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-- 检查是否需要调整训练强度
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IF user_preferences.avg_intensity < 2.5 THEN
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INSERT INTO public.ak_personalized_recommendations (
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user_id, recommendation_type, title, description, reason, priority
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) VALUES (
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p_user_id, 'intensity', '增加训练强度',
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'适当增加高强度训练可以提高运动效果',
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'当前训练强度偏低', 2
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);
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END IF;
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-- 检查是否需要设定目标
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SELECT COUNT(*) INTO recommendation_count
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FROM public.ak_user_training_goals
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WHERE user_id = p_user_id AND status = 'active';
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IF recommendation_count = 0 THEN
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INSERT INTO public.ak_personalized_recommendations (
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user_id, recommendation_type, title, description, reason, priority
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) VALUES (
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p_user_id, 'goal', '设定训练目标',
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'设定明确的训练目标有助于保持动力',
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'当前没有活跃的训练目标', 5
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);
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END IF;
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END;
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$$ LANGUAGE plpgsql SECURITY DEFINER;
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-- 创建记录用户行为的函数
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CREATE OR REPLACE FUNCTION log_user_behavior(
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p_user_id uuid,
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p_behavior_type VARCHAR(32),
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p_behavior_data JSONB DEFAULT NULL,
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p_session_id uuid DEFAULT NULL
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)
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RETURNS VOID AS $$
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BEGIN
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INSERT INTO public.ak_user_behavior_analytics (
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user_id, behavior_type, behavior_data, session_id
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) VALUES (
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p_user_id, p_behavior_type, p_behavior_data, p_session_id
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);
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END;
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$$ LANGUAGE plpgsql SECURITY DEFINER;
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-- 创建更新训练模式的函数
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CREATE OR REPLACE FUNCTION update_training_pattern(
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p_user_id uuid,
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p_pattern_type VARCHAR(32),
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p_pattern_data JSONB,
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p_confidence_score FLOAT DEFAULT 0.5
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)
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RETURNS VOID AS $$
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BEGIN
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INSERT INTO public.ak_training_patterns (
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user_id, pattern_type, pattern_data, confidence_score
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) VALUES (
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p_user_id, p_pattern_type, p_pattern_data, p_confidence_score
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)
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ON CONFLICT (user_id, pattern_type)
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DO UPDATE SET
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pattern_data = EXCLUDED.pattern_data,
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confidence_score = EXCLUDED.confidence_score,
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updated_at = NOW();
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END;
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$$ LANGUAGE plpgsql SECURITY DEFINER;
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-- 创建获取用户训练趋势的函数
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CREATE OR REPLACE FUNCTION get_user_training_trends(
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p_user_id uuid,
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p_days INT DEFAULT 30
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)
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RETURNS JSONB AS $$
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DECLARE
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result JSONB := '[]'::JSONB;
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trend_item JSONB;
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BEGIN -- 获取目标完成趋势
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WITH goal_trends AS (
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SELECT
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date_trunc('day', recorded_at) as trend_date,
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COUNT(*) as changes_count,
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AVG(change_amount) as avg_change
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FROM public.ak_goal_progress_history
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WHERE user_id = p_user_id
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AND recorded_at >= NOW() - (p_days * INTERVAL '1 day')
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GROUP BY date_trunc('day', recorded_at)
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ORDER BY trend_date
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)
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SELECT jsonb_agg(
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jsonb_build_object(
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'date', trend_date,
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'type', 'goal_progress',
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'value', avg_change,
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'count', changes_count
|
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)
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) INTO trend_item
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FROM goal_trends;
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result = result || COALESCE(trend_item, '[]'::JSONB);
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-- 获取偏好变化趋势
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WITH preference_trends AS (
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SELECT
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date_trunc('day', created_at) as trend_date,
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action_type,
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COUNT(*) as action_count
|
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FROM public.ak_user_preference_history
|
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WHERE user_id = p_user_id
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AND created_at >= NOW() - (p_days * INTERVAL '1 day')
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GROUP BY date_trunc('day', created_at), action_type
|
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ORDER BY trend_date
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)
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SELECT jsonb_agg(
|
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jsonb_build_object(
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'date', trend_date,
|
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'type', 'preference_change',
|
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'action_type', action_type,
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'count', action_count
|
||||
)
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||||
) INTO trend_item
|
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FROM preference_trends;
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result = result || COALESCE(trend_item, '[]'::JSONB);
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RETURN result;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql SECURITY DEFINER;
|
||||
|
||||
-- 创建触发器来自动记录偏好变化
|
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CREATE OR REPLACE FUNCTION track_preference_changes()
|
||||
RETURNS TRIGGER AS $$
|
||||
BEGIN
|
||||
IF TG_OP = 'INSERT' THEN
|
||||
INSERT INTO public.ak_user_preference_history (
|
||||
user_id, sport_type_id, action_type, new_values
|
||||
) VALUES (
|
||||
NEW.user_id, NEW.sport_type_id, 'created', to_jsonb(NEW)
|
||||
);
|
||||
RETURN NEW;
|
||||
ELSIF TG_OP = 'UPDATE' THEN
|
||||
INSERT INTO public.ak_user_preference_history (
|
||||
user_id, sport_type_id, action_type, old_values, new_values
|
||||
) VALUES (
|
||||
NEW.user_id, NEW.sport_type_id, 'updated', to_jsonb(OLD), to_jsonb(NEW)
|
||||
);
|
||||
RETURN NEW;
|
||||
ELSIF TG_OP = 'DELETE' THEN
|
||||
INSERT INTO public.ak_user_preference_history (
|
||||
user_id, sport_type_id, action_type, old_values
|
||||
) VALUES (
|
||||
OLD.user_id, OLD.sport_type_id, 'deleted', to_jsonb(OLD)
|
||||
);
|
||||
RETURN OLD;
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||||
END IF;
|
||||
RETURN NULL;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
|
||||
-- 创建触发器
|
||||
DROP TRIGGER IF EXISTS preference_changes_trigger ON public.ak_user_sport_preferences;
|
||||
CREATE TRIGGER preference_changes_trigger
|
||||
AFTER INSERT OR UPDATE OR DELETE ON public.ak_user_sport_preferences
|
||||
FOR EACH ROW EXECUTE FUNCTION track_preference_changes();
|
||||
|
||||
-- 创建触发器来自动记录目标进度变化
|
||||
CREATE OR REPLACE FUNCTION track_goal_progress_changes()
|
||||
RETURNS TRIGGER AS $$
|
||||
BEGIN
|
||||
IF TG_OP = 'UPDATE' AND OLD.current_value != NEW.current_value THEN
|
||||
INSERT INTO public.ak_goal_progress_history (
|
||||
goal_id, user_id, old_value, new_value, change_amount, change_type
|
||||
) VALUES (
|
||||
NEW.id, NEW.user_id, OLD.current_value, NEW.current_value,
|
||||
NEW.current_value - OLD.current_value,
|
||||
CASE
|
||||
WHEN NEW.current_value > OLD.current_value THEN 'increase'
|
||||
ELSE 'decrease'
|
||||
END
|
||||
);
|
||||
END IF;
|
||||
RETURN NEW;
|
||||
END;
|
||||
$$ LANGUAGE plpgsql;
|
||||
|
||||
-- 创建目标进度触发器
|
||||
DROP TRIGGER IF EXISTS goal_progress_changes_trigger ON public.ak_user_training_goals;
|
||||
CREATE TRIGGER goal_progress_changes_trigger
|
||||
AFTER UPDATE ON public.ak_user_training_goals
|
||||
FOR EACH ROW EXECUTE FUNCTION track_goal_progress_changes();
|
||||
|
||||
-- 插入一些示例推荐数据
|
||||
INSERT INTO public.ak_personalized_recommendations (
|
||||
user_id, recommendation_type, title, description, reason, priority
|
||||
)
|
||||
SELECT
|
||||
id as user_id,
|
||||
'sport' as recommendation_type,
|
||||
'尝试新的运动类型' as title,
|
||||
'根据您的偏好，我们推荐您尝试瑜伽或游泳' as description,
|
||||
'扩展运动种类有助于全面发展' as reason,
|
||||
3 as priority
|
||||
FROM public.ak_users
|
||||
WHERE role = 'student'
|
||||
LIMIT 5;
|
||||
Reference in New Issue
Block a user