77 lines
3.3 KiB
PL/PgSQL
77 lines
3.3 KiB
PL/PgSQL
-- =====================================================================================
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-- 数据分析模块（正式RPC，主库 ml_* 口径）
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-- 文件: 03_ml_analytics_rpcs_dashboard.sql
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-- 主题: 仪表盘实时指标 (GMV/订单/在线用户/转化率)
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-- =====================================================================================
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-- 1) 仪表盘实时核心 KPI (今日 vs 昨日同刻)
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CREATE OR REPLACE FUNCTION public.rpc_analytics_realtime_kpis()
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RETURNS TABLE (
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gmv NUMERIC,
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gmv_growth FLOAT,
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orders BIGINT,
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order_growth FLOAT,
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conversion_rate FLOAT,
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conversion_growth FLOAT
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)
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LANGUAGE plpgsql
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AS $$
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DECLARE
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today_start timestamptz := date_trunc('day', now());
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yesterday_start timestamptz := today_start - interval '1 day';
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yesterday_equivalent timestamptz := now() - interval '1 day';
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BEGIN
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RETURN QUERY
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WITH
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-- 今日实时数据
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today AS (
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SELECT
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COALESCE(SUM(CASE WHEN o.payment_status = 2 THEN COALESCE(NULLIF(o.paid_amount, 0), o.total_amount) ELSE 0 END), 0) AS gmv,
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COUNT(o.id)::BIGINT AS orders,
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(SELECT COUNT(DISTINCT user_id) FROM public.ml_orders WHERE created_at >= today_start AND payment_status = 2) AS paid_users,
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(SELECT COUNT(DISTINCT user_id) FROM public.ml_browse_history WHERE created_at >= today_start) AS active_users
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FROM public.ml_orders o
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WHERE o.created_at >= today_start
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),
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-- 昨日同期数据
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yesterday AS (
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SELECT
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COALESCE(SUM(CASE WHEN o.payment_status = 2 THEN COALESCE(NULLIF(o.paid_amount, 0), o.total_amount) ELSE 0 END), 0) AS gmv,
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COUNT(o.id)::BIGINT AS orders,
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(SELECT COUNT(DISTINCT user_id) FROM public.ml_orders WHERE created_at BETWEEN yesterday_start AND yesterday_equivalent AND payment_status = 2) AS paid_users,
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(SELECT COUNT(DISTINCT user_id) FROM public.ml_browse_history WHERE created_at BETWEEN yesterday_start AND yesterday_equivalent) AS active_users
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FROM public.ml_orders o
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WHERE o.created_at BETWEEN yesterday_start AND yesterday_equivalent
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),
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calc AS (
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SELECT
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t.gmv,
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y.gmv AS prev_gmv,
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t.orders,
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y.orders AS prev_orders,
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CASE WHEN t.active_users > 0 THEN (t.paid_users::NUMERIC / t.active_users) * 100 ELSE 0 END AS conversion_rate,
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CASE WHEN y.active_users > 0 THEN (y.paid_users::NUMERIC / y.active_users) * 100 ELSE 0 END AS prev_conversion_rate
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FROM today t, yesterday y
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)
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SELECT
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ROUND(c.gmv, 2) AS gmv,
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ROUND(((c.gmv - c.prev_gmv) * 100.0 / NULLIF(c.prev_gmv, 0))::numeric, 2)::FLOAT AS gmv_growth,
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c.orders,
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ROUND(((c.orders - c.prev_orders) * 100.0 / NULLIF(c.prev_orders, 0))::numeric, 2)::FLOAT AS order_growth,
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ROUND(c.conversion_rate::numeric, 2)::FLOAT AS conversion_rate,
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ROUND((c.conversion_rate - c.prev_conversion_rate)::numeric, 2)::FLOAT AS conversion_growth
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FROM calc c;
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END;
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$$;
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-- 2) 在线用户数 (基于最近5分钟的浏览历史)
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CREATE OR REPLACE FUNCTION public.rpc_analytics_online_users()
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RETURNS BIGINT
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LANGUAGE sql
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AS $$
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SELECT COUNT(DISTINCT user_id)::BIGINT
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FROM public.ml_browse_history
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WHERE created_at >= now() - INTERVAL '5 minutes';
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$$;
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