148 lines
4.9 KiB
SQL
148 lines
4.9 KiB
SQL
-- 创建学生最新健康数据视图
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-- 如果视图已存在则先删除
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DROP VIEW IF EXISTS public.v_latest_student_health;
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-- 创建视图：获取每个学生的最新健康数据
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CREATE OR REPLACE VIEW public.v_latest_student_health AS
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WITH latest_measurements AS (
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-- 获取每个用户每种传感器类型的最新记录
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SELECT
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user_id,
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sensor_type,
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timestamp_utc,
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value_numeric,
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ROW_NUMBER() OVER (
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PARTITION BY user_id, sensor_type
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ORDER BY timestamp_utc DESC
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) as rn
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FROM public.ss_sensor_measurements
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WHERE value_numeric IS NOT NULL
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),
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pivoted_data AS (
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-- 将不同传感器类型的数据透视为列
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SELECT
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user_id,
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MAX(CASE WHEN sensor_type = 'temperature' AND rn = 1 THEN value_numeric END) as temperature_c,
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MAX(CASE WHEN sensor_type = 'temperature' AND rn = 1 THEN timestamp_utc END) as temp_time,
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MAX(CASE WHEN sensor_type = 'heart_rate' AND rn = 1 THEN value_numeric END) as heart_rate_bpm,
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MAX(CASE WHEN sensor_type = 'heart_rate' AND rn = 1 THEN timestamp_utc END) as heart_time,
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MAX(CASE WHEN sensor_type = 'spo2' AND rn = 1 THEN value_numeric END) as spo2_percent,
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MAX(CASE WHEN sensor_type = 'spo2' AND rn = 1 THEN timestamp_utc END) as spo2_time,
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MAX(CASE WHEN sensor_type = 'steps' AND rn = 1 THEN value_numeric END) as step_count,
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MAX(CASE WHEN sensor_type = 'steps' AND rn = 1 THEN timestamp_utc END) as steps_time
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FROM latest_measurements
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GROUP BY user_id
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)
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-- 关联用户基本信息
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SELECT
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u.id as user_id,
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u.username as name,
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u.email as student_id, -- 临时使用email作为student_id，您可以根据实际情况调整
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u.avatar_url as avatar,
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pd.temperature_c,
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pd.temp_time,
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pd.heart_rate_bpm,
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pd.heart_time,
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pd.spo2_percent,
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pd.spo2_time,
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pd.step_count,
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pd.steps_time
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FROM public.ak_users u
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LEFT JOIN pivoted_data pd ON u.id = pd.user_id
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WHERE u.role = 'student';
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-- 给视图添加注释
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COMMENT ON VIEW public.v_latest_student_health IS '学生最新健康数据视图 - 包含每个学生的最新体温、心率、血氧、步数等数据';
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-- 如果ss_sensor_measurements表不存在，创建替代方案
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-- 使用专门的传感器数据表
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CREATE OR REPLACE VIEW public.v_latest_student_health_alt AS
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WITH latest_health_data AS (
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SELECT
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user_id,
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'temperature' as data_type,
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temperature_celsius as value,
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recorded_at as recorded_time
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FROM public.ss_temperature
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WHERE user_id IS NOT NULL AND temperature_celsius IS NOT NULL
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UNION ALL
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SELECT
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user_id,
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'heart_rate' as data_type,
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heart_rate_bpm as value,
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recorded_at as recorded_time
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FROM public.ss_heart_rate
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WHERE user_id IS NOT NULL AND heart_rate_bpm IS NOT NULL
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UNION ALL
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SELECT
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user_id,
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'spo2' as data_type,
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spo2_percentage as value,
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recorded_at as recorded_time
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FROM public.ss_spo2
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WHERE user_id IS NOT NULL AND spo2_percentage IS NOT NULL
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UNION ALL
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SELECT
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user_id,
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'steps' as data_type,
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step_count as value,
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recorded_at as recorded_time
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FROM public.ss_steps
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WHERE user_id IS NOT NULL AND step_count IS NOT NULL
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),
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latest_by_type AS (
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SELECT
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user_id,
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data_type,
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value,
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recorded_time,
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ROW_NUMBER() OVER (
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PARTITION BY user_id, data_type
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ORDER BY recorded_time DESC
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) as rn
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FROM latest_health_data
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),
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pivoted_alt AS (
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SELECT
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user_id,
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MAX(CASE WHEN data_type = 'temperature' AND rn = 1 THEN value END) as temperature_c,
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MAX(CASE WHEN data_type = 'temperature' AND rn = 1 THEN recorded_time END) as temp_time,
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MAX(CASE WHEN data_type = 'heart_rate' AND rn = 1 THEN value END) as heart_rate_bpm,
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MAX(CASE WHEN data_type = 'heart_rate' AND rn = 1 THEN recorded_time END) as heart_time,
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MAX(CASE WHEN data_type = 'spo2' AND rn = 1 THEN value END) as spo2_percent,
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MAX(CASE WHEN data_type = 'spo2' AND rn = 1 THEN recorded_time END) as spo2_time,
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MAX(CASE WHEN data_type = 'steps' AND rn = 1 THEN value END) as step_count,
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MAX(CASE WHEN data_type = 'steps' AND rn = 1 THEN recorded_time END) as steps_time
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FROM latest_by_type
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GROUP BY user_id
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)
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SELECT
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u.id as user_id,
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u.username as name,
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u.email as student_id,
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u.avatar_url as avatar,
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pa.temperature_c,
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pa.temp_time,
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pa.heart_rate_bpm,
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pa.heart_time,
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pa.spo2_percent,
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pa.spo2_time,
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pa.step_count,
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pa.steps_time
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FROM public.ak_users u
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LEFT JOIN pivoted_alt pa ON u.id = pa.user_id
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WHERE u.role = 'student';
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-- 查看当前系统中存在哪些传感器相关的表
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SELECT table_name
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FROM information_schema.tables
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WHERE table_schema = 'public'
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AND (table_name LIKE '%sensor%' OR table_name LIKE '%ss_%')
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ORDER BY table_name;
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