-- 订单延迟预警分析（最终优化版）
-- Order Delay Warning Analysis
WITH 
-- 1. 历史生产周期统计（全局平均，仅统计已完成工单）
production_cycle_stats AS (
    SELECT 
        COALESCE(
            AVG(
                GREATEST(0, EXTRACT(DAY FROM last_updated_utc - event_time_utc))
            ), 
            0
        ) AS avg_production_days
    FROM fact_work_order
    WHERE status = 'CLOSED'
      AND last_updated_utc >= event_time_utc
),

-- 2. 物流延误统计（按客户维度）
logistics_delay_stats AS (
    SELECT 
        customer_id,
        AVG(
            GREATEST(0, EXTRACT(DAY FROM event_time_utc - doc_date_utc))
        ) AS avg_logistics_delay_days,
        SUM(
            CASE WHEN EXTRACT(DAY FROM event_time_utc - doc_date_utc) > 3 
            THEN 1 ELSE 0 END
        ) AS delay_count
    FROM fact_sales_shipment
    WHERE doc_date_utc IS NOT NULL
      AND event_time_utc IS NOT NULL
    GROUP BY customer_id
),

-- 3. 质量问题统计（全局平均）
quality_issue_stats AS (
    SELECT 
        COALESCE(
            ROUND(
                SUM(fail_qty) * 100.0 / NULLIF(SUM(pass_qty + fail_qty), 0), 
                2
            ), 
            0
        ) AS defect_rate_pct
    FROM fact_quality_inspection
    WHERE pass_qty IS NOT NULL 
      AND fail_qty IS NOT NULL
),

-- 4. 报废率（全局）
scrap_stats AS (
    SELECT 
        COALESCE(
            (SELECT COUNT(*) FROM fact_scrap) * 100.0 / 
            NULLIF((SELECT COUNT(*) FROM fact_work_order WHERE status = 'CLOSED'), 0),
            0
        ) AS scrap_rate_pct
),

-- 5. 当前生产滞后风险（全局）
active_work_order_risk AS (
    SELECT 
        COUNT(*) AS active_wo_count,
        COALESCE(
            SUM(
                CASE 
                    WHEN planned_qty > 0 
                         AND (completed_qty / planned_qty) < 0.3 
                         AND EXTRACT(DAY FROM NOW() - event_time_utc) > 7
                    THEN 1 
                    ELSE 0 
                END
            ), 
            0
        ) AS lagging_wo_count
    FROM fact_work_order
    WHERE status IN ('OPEN', 'STARTED')
),

-- 6. 合并全局指标为单行
global_metrics AS (
    SELECT 
        pcs.avg_production_days,
        qis.defect_rate_pct,
        ss.scrap_rate_pct,
        awr.active_wo_count,
        awr.lagging_wo_count
    FROM production_cycle_stats pcs, 
         quality_issue_stats qis, 
         scrap_stats ss, 
         active_work_order_risk awr
)

-- 主查询
SELECT 
    so.sales_order_number AS order_number,
    c.customer_name AS customer_name,
    so.order_date_utc::DATE AS order_date,
    so.deal_amount AS order_amount,
    so.payment_status AS payment_status,
    
    -- 风险指标
    ROUND(gm.avg_production_days::NUMERIC, 1) AS avg_production_days,
    ROUND(COALESCE(lds.avg_logistics_delay_days, 0)::NUMERIC, 1) AS avg_logistics_delay_days,
    COALESCE(lds.delay_count, 0)::INT AS historical_delay_count,
    ROUND(gm.defect_rate_pct::NUMERIC, 2) AS defect_rate_pct,
    ROUND(gm.scrap_rate_pct::NUMERIC, 2) AS scrap_rate_pct,
    gm.active_wo_count::INT AS active_work_order_count,
    gm.lagging_wo_count::INT AS lagging_work_order_count,
    
    -- 延迟概率计算
    ROUND(
        LEAST(100, GREATEST(0,
            LEAST(25, GREATEST(0, gm.avg_production_days - 10) * 2.5) +
            LEAST(30, COALESCE(lds.avg_logistics_delay_days, 0) * 6) +
            LEAST(25, gm.defect_rate_pct * 2.5) +
            LEAST(20, gm.lagging_wo_count * 10)
        ))::NUMERIC, 1
    ) AS delay_probability_pct,
    
    -- 预警等级
    CASE 
        WHEN (
            LEAST(25, GREATEST(0, gm.avg_production_days - 10) * 2.5) +
            LEAST(30, COALESCE(lds.avg_logistics_delay_days, 0) * 6) +
            LEAST(25, gm.defect_rate_pct * 2.5) +
            LEAST(20, gm.lagging_wo_count * 10)
        ) >= 60 THEN 'RED'
        WHEN (
            LEAST(25, GREATEST(0, gm.avg_production_days - 10) * 2.5) +
            LEAST(30, COALESCE(lds.avg_logistics_delay_days, 0) * 6) +
            LEAST(25, gm.defect_rate_pct * 2.5) +
            LEAST(20, gm.lagging_wo_count * 10)
        ) >= 30 THEN 'YELLOW'
        ELSE 'GREEN'
    END AS warning_level,
    
    -- 主要风险因素
    CASE 
        WHEN gm.lagging_wo_count >= 2 THEN 'PRODUCTION_SEVERELY_DELAYED'
        WHEN COALESCE(lds.avg_logistics_delay_days, 0) > 5 THEN 'HIGH_LOGISTICS_DELAY_RISK'
        WHEN gm.avg_production_days > 15 THEN 'LONG_PRODUCTION_CYCLE'
        WHEN gm.defect_rate_pct > 10 THEN 'QUALITY_ISSUES'
        ELSE 'NORMAL'
    END AS primary_risk_factor

FROM fact_sales_order so
LEFT JOIN dim_customer c 
    ON so.customer_id = c.customer_id 
    AND c.is_current = 't'
CROSS JOIN global_metrics gm
LEFT JOIN logistics_delay_stats lds 
    ON so.customer_id = lds.customer_id
ORDER BY delay_probability_pct DESC, so.order_date_utc DESC;