--------------------------OOS -------------------------
DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_1;


CREATE TABLE raena_analytics.om_oos_soldout_1 as 
SELECT snp_date_time,
       sku_code,
       inventory
FROM
  ( SELECT snp_date,
           snp_time,
           snp_date_time,
           sku_code,
           inventory,
           row_number() over (partition BY sku_code,cast(snp_date_time AS date)
                              ORDER BY snp_date_time DESC,inventory DESC) AS R
   FROM
     ( SELECT DISTINCT snp_date,
                       snp_time,
                       to_timestamp(snp_date || ' ' || snp_time,'YY-MM-DD HH24:MI:SS') +interval'7 hours' AS snp_date_time,
                       sku_code,
                       inventory
      FROM raena_analytics.inventory_snapshot
      where snp_time+interval'7 hours'>='23:30'
      )A ) B
WHERE R=1;

DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_2;

CREATE TABLE raena_analytics.om_oos_soldout_2 AS
select *, datediff(day,cast(snp_date_time as date),current_date) as age
FROM raena_analytics.om_oos_soldout_1;

DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_2_med;

CREATE TABLE raena_analytics.om_oos_soldout_2_med AS
SELECT *,
       CASE
           WHEN age BETWEEN 1 AND 3 THEN '<=3'
           WHEN age BETWEEN 4 AND 7 THEN '4-7'
           WHEN age BETWEEN 8 AND 15 THEN '8-15'
           WHEN age > 15 THEN 'GT 15'
       END AS age_group
FROM raena_analytics.om_oos_soldout_2
WHERE age>0;

DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_3;


CREATE TABLE raena_analytics.om_oos_soldout_3 AS
SELECT a.*,
       b.inventory AS Maximum_occurred_inventory
FROM raena_analytics.om_oos_soldout_2_med a
INNER JOIN
  (SELECT inventory,
          age_group,
          sku_code
   FROM
     (SELECT inventory,
             age_group,
             sku_code,
             row_number() over (partition BY age_group,sku_code
                                ORDER BY Max_inventory DESC) AS R
      FROM
        (SELECT inventory,
                age_group,
                sku_code,
                count(*) AS Max_inventory
         FROM raena_analytics.om_oos_soldout_2_med
         GROUP BY inventory,
                  age_group,
                  sku_code
         ORDER BY 4 DESC,1) A) AA
   WHERE R=1
   ORDER BY 2,
            3) b ON a.sku_code=b.sku_code
AND a.age_group=b.age_group ;


DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_3_med;


CREATE TABLE raena_analytics.om_oos_soldout_3_med AS
SELECT a.*,
       b."<=3 Maximum_occurred_inventory",
        "4-7 Maximum_occurred_inventory", 
        "8-15 Maximum_occurred_inventory",
         "GT 15 Maximum_occurred_inventory"
FROM raena_analytics.om_oos_soldout_3 a
INNER JOIN
  (SELECT DISTINCT sku_code,
                   sum(CASE WHEN Age_group IN ('<=3') THEN Maximum_occurred_inventory END) AS "<=3 Maximum_occurred_inventory", 
                   sum(CASE WHEN Age_group IN ('4-7') THEN Maximum_occurred_inventory END) AS "4-7 Maximum_occurred_inventory", 
                   sum(CASE WHEN Age_group IN ('8-15') THEN Maximum_occurred_inventory END) AS "8-15 Maximum_occurred_inventory", 
                   sum(CASE WHEN Age_group IN ('GT 15') THEN Maximum_occurred_inventory END)AS "GT 15 Maximum_occurred_inventory"
   FROM raena_analytics.om_oos_soldout_3
   GROUP BY 1
   ORDER BY sku_code) b ON a.sku_code=b.sku_code ;


DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_3_med_2;


CREATE TABLE raena_analytics.om_oos_soldout_3_med_2 AS
SELECT a.*,
       b.sold_out_fl
FROM raena_analytics.om_oos_soldout_3 a
INNER JOIN
  (SELECT sku_code,
          sold_out_fl
   FROM
     (SELECT *,
             row_number() over (partition BY sku_code
                                ORDER BY sold_out_fl) AS R
      FROM
        (SELECT DISTINCT sku_code,
                         CASE WHEN ((age=16
                                     OR age=17
                                     OR age=18
                                     OR age=19)
                                    AND inventory=0)
                              AND ("8-15 Maximum_occurred_inventory"=0)
                              AND "4-7 Maximum_occurred_inventory"=0
                              AND "<=3 Maximum_occurred_inventory"=0 THEN '1.GT 15 and sold out' 
                              WHEN (age=8 AND inventory=0)
                              AND "4-7 Maximum_occurred_inventory"=0
                              AND "<=3 Maximum_occurred_inventory"=0 THEN '2.8-15 AND sold OUT' 
                              WHEN ((age=4 OR age=5
                                      OR age=6)
                                      AND inventory=0)
                              AND "<=3 Maximum_occurred_inventory"=0 THEN '3.4-7 and sold out' 
                              WHEN (age=1 AND inventory=0) THEN '4.<=3 and sold out' ELSE '5.stocked' END AS sold_out_fl
         FROM raena_analytics.om_oos_soldout_3_med
         )A) B
   WHERE R=1) b ON a.sku_code=b.sku_code ;

DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_4;


CREATE TABLE raena_analytics.om_oos_soldout_4 AS
SELECT a.*,
       b.brand_name,
       b."EL/PL Flag", b.give_away,
                         b.active_status
FROM raena_analytics.om_oos_soldout_3_med_2 a
INNER JOIN
  (SELECT DISTINCT b.name AS brand_name,
                   a.sku,
                   CASE
                       WHEN moqremark = 'NOT ORDER GIVE AWAY ITEM' THEN 'Yes'
                       ELSE 'No'
                   END give_away,
                   CASE
                       WHEN a.is_archived = 'true' THEN 'Permanatly_delisted'
                       WHEN a.is_delisted = 'true' THEN 'delisted'
                       WHEN a.is_archived = 'false'
                            AND a.is_delisted = 'false' THEN 'Active'
                   END active_status,
                   CASE
                       WHEN b.name IN ('HISTOIRE NATURELLE',
                                           'INGRID',
                                           'W DRESSROOM',
                                           'FORENCOS',
                                           'DEWYCEL',
                                           'GLUTANEX',
                                           'BELLFLOWER',
                                           'ONE THING',
                                           'BEAUSTA') THEN 'EL/PL'
                       ELSE 'NA'
                   END AS "EL/PL Flag"
   FROM raena_catalog_management.product a
   LEFT JOIN raena_catalog_management.brand b ON a.brand_id=b.id
   LEFT JOIN raena_analytics.demand_forecasting_configs c ON a.sku=c.sku) b ON a.sku_code=b.sku ;


DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_5;


CREATE TABLE raena_analytics.om_oos_soldout_5 AS
SELECT a.*,
       coalesce(b.sku_type,'Not Moving') AS sku_type,
       coalesce(b.new_sku_flag,'No') AS new_sku_flag,
       cikarang_runrate,
       surabaya_runrate,
       semarang_runrate,
       medan_runrate,
       makassar_runrate,
       samarinda_runrate,
       total_runrate,
       c.gold_price,
       d.runrate AS "90_days_runrate"
FROM raena_analytics.om_oos_soldout_4 a
LEFT JOIN raena_analytics.demand_forecast_dashboard_final b ON a.sku_code=b.sku
LEFT JOIN
  (SELECT DISTINCT sku ,
                   CASE
                       WHEN is_slash_price='true'  then json_extract_path_text(slashed_tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE) 
    else  json_extract_path_text(tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE)
                   END AS gold_price
   FROM raena_catalog_management.product p) c ON a.sku_code=c.sku
LEFT JOIN
  (SELECT sku,
          sum(oi.quantity)/count(DISTINCT cast(o.created_at AS date)) AS runrate
   FROM raena_order_management.order o
   INNER JOIN raena_order_management.order_item oi ON o.id=oi.order_id
   WHERE cast(o.created_at AS date)>=cast((CURRENT_DATE-90) AS date)
     AND (o.payment_status='Paid' or o.id like 'PL%')
     AND cast(o.is_archived AS varchar)='false'
   GROUP BY sku) d ON a.sku_code=d.sku ;


DROP TABLE IF EXISTS raena_analytics.om_oos_soldout_6;


CREATE TABLE raena_analytics.om_oos_soldout_6 AS
SELECT DISTINCT cast(a.snp_date_time AS date) AS snp_date_time, 
               a.sku_code, 
               "90_days_runrate", 
               a.gold_price, 
               OOS_days, 
               a.sold_out_fl, 
               a.active_status, 
               a.brand_name, 
               "EL/PL Flag", 
               a.give_away,
               a.sku_type,
               a.new_sku_flag,
               c.total_runrate,
               d.avg_remaining_LM_RV,
               d.avg_All_LM_RV,
               e.PO_Ordered_quantity
FROM raena_analytics.om_oos_soldout_5 a
INNER JOIN
  (SELECT sku_code,
          sold_out_fl,
          max(CASE WHEN inventory=0
              AND sold_out_fl='1.GT 15 and sold out'
              AND age>15 THEN age WHEN inventory=0
              AND sold_out_fl='2.8-15 and sold out'
              AND age BETWEEN 8 AND 15 THEN age WHEN inventory=0
              AND sold_out_fl='3.4-7 and sold out'
              AND age BETWEEN 4 AND 7 THEN age WHEN inventory=0
              AND sold_out_fl='4.<=3 and sold out'
              AND age <=3 THEN age END) AS OOS_days
   FROM raena_analytics.om_oos_soldout_5
   WHERE sold_out_fl NOT LIKE '%stocked'
   GROUP BY 1,
            2) b ON a.sku_code=b.sku_code
LEFT JOIN raena_analytics.demand_forecast_dashboard_final c ON a.sku_code=c.sku
LEFT JOIN
  (SELECT sku,
          avg(remaining_shipping_fee)/avg(remaining_payment_amount) AS avg_remaining_LM_RV,
          avg(shipping_fee)/avg(payment_amount) AS avg_All_LM_RV
   FROM
     (SELECT DISTINCT sku,
                      CASE WHEN (actual_warehouse!=expected_warehouse)
                                   OR expected_warehouse IS NULL
                                   AND payment_amount is NOT NULL 
                            THEN payment_amount END AS remaining_payment_amount,
                      CASE WHEN (actual_warehouse!=expected_warehouse) 
                                   OR expected_warehouse ISNULL
                                   AND payment_amount NOTNULL 
                            THEN "Actual Shipping Fee" END AS remaining_shipping_fee, 
                     payment_amount, 
                     "Actual Shipping Fee" AS shipping_fee
      FROM
        (SELECT DISTINCT sku,
                         actual_warehouse,
                         expected_warehouse,
                         A.payment_amount,
                         CASE WHEN A.sub_order_shipping_id=sb.reference_id AND A.order_id=sb.order_id THEN ((sb.shipping_amount)/(sb.order_weight))*(sb.final_weight) 
                         WHEN A.order_id = D.id AND (A.sub_order_shipping_id= D.id OR A.sub_order_shipping_id IS NULL) THEN D.shipping_amount 
                         WHEN A.sub_order_shipping_id=C.id THEN C.shipping_amount END "Actual Shipping Fee"
         FROM raena_analytics.rate_sheet_wise_expected_warehouse A
         LEFT JOIN raena_order_management.sales_sub_order_shipment C ON A.sub_order_shipping_id=C.id
         LEFT JOIN raena_order_management.order D ON A.order_id = D.id
         AND (A.sub_order_shipping_id= D.id
              OR A.sub_order_shipping_id IS NULL)
         LEFT JOIN raena_analytics.OM_Logistic_final_shipping_base sb ON A.sub_order_shipping_id=sb.reference_id
         AND A.order_id=sb.order_id
         WHERE A.created_date>=(CURRENT_DATE-90)
           AND A.is_campaign='false')AAA) AA
   WHERE payment_amount!=0
   GROUP BY 1) d ON a.sku_code=d.sku
LEFT JOIN
  (SELECT raena_code sku,
          coalesce(sum(CASE WHEN warehouse_id = 'CGK WHS' THEN COALESCE(quantity,0) END),0) + 
          coalesce(sum(CASE WHEN warehouse_id = 'Makassar WHS' THEN COALESCE(quantity,0) END),0) + 
          coalesce(sum(CASE WHEN warehouse_id = 'Medan WHS' THEN COALESCE(quantity,0) END),0) + 
          coalesce(sum(CASE WHEN warehouse_id = 'Samarinda WHS' THEN COALESCE(quantity,0) END),0) + 
          coalesce(sum(CASE WHEN warehouse_id = 'Semarang WHS' THEN COALESCE(quantity,0) END),0) + 
          coalesce(sum(CASE WHEN warehouse_id = 'Surabaya WHS' THEN COALESCE(quantity,0) END),0) PO_Ordered_quantity
   FROM raena_erp_management.inbound_order A
   LEFT JOIN raena_erp_management.inbound_order_sku B ON A.id = B."orderIdId" 
   WHERE cast(expected_arrival_date AS date) > CURRENT_DATE -1
     AND received_time IS NULL
   GROUP BY raena_code) e ON a.sku_code=e.sku;



-------------------restock

DROP TABLE IF EXISTS raena_analytics.om_oos_restock_1;


CREATE TABLE raena_analytics.om_oos_restock_1 AS
SELECT report_date,
       a.sku,
       overall_qty_required_per_day AS restock,
       sku_type,
       brand_name,
       give_away,
       new_sku_flag,
       active_status,
       coalesce(cikarang_project_quantity_to_order,0) AS cikarang_project_quantity_to_order,
       coalesce(surabaya_project_quantity_to_order,0) AS surabaya_project_quantity_to_order,
       coalesce(semarang_project_quantity_to_order,0) AS semarang_project_quantity_to_order,
       coalesce(medan_project_quantity_to_order,0) AS medan_project_quantity_to_order,
       coalesce(makassar_project_quantity_to_order,0) AS makassar_project_quantity_to_order,
       coalesce(semarandi_project_quantity_to_order,0) AS semarandi_project_quantity_to_order ,
       CASE
           WHEN brand_name IN ('HISTOIRE NATURELLE',
                               'INGRID',
                               'W DRESSROOM',
                               'FORENCOS',
                               'DEWYCEL',
                               'GLUTANEX',
                               'BELLFLOWER',
                               'ONE THING',
                               'BEAUSTA') THEN 'EL/PL'
           ELSE 'NA'
       END AS "EL/PL Flag", 
      datediff(day,cast(report_date as date),current_date) as age,
                              c.gold_price
FROM raena_analytics.OM_OOS_Base a
LEFT JOIN
  (SELECT DISTINCT sku ,
                   CASE
                       WHEN is_slash_price='true'  then json_extract_path_text(slashed_tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE) 
    else  json_extract_path_text(tier_price,'bf645e97-8a48-4977-8367-e987489760f9',TRUE)
                   END AS gold_price
   FROM raena_catalog_management.product p) c ON a.sku=c.sku;


DROP TABLE IF EXISTS raena_analytics.om_oos_restock_1_med;

CREATE TABLE raena_analytics.om_oos_restock_1_med AS
SELECT *
FROM raena_analytics.om_oos_restock_1 unpivot (cnt
                                               FOR warehouse IN 
                                               (cikarang_project_quantity_to_order,
                                               surabaya_project_quantity_to_order,
                                               semarang_project_quantity_to_order,
                                               medan_project_quantity_to_order, 
                                               makassar_project_quantity_to_order,
                                               semarandi_project_quantity_to_order));


DROP TABLE IF EXISTS raena_analytics.om_oos_restock_2;


CREATE TABLE raena_analytics.om_oos_restock_2 AS
SELECT *,
       CASE
           WHEN age BETWEEN 1 AND 3 THEN '<=3'
           WHEN age BETWEEN 4 AND 7 THEN '4-7'
           WHEN age BETWEEN 8 AND 15 THEN '8-15'
           WHEN age > 15 THEN 'GT 15'
       END AS age_group
FROM raena_analytics.om_oos_restock_1_med
WHERE age>0;

DROP TABLE IF EXISTS raena_analytics.om_oos_restock_3;


CREATE TABLE raena_analytics.om_oos_restock_3 AS
SELECT a.*,
       b.restock AS Maximum_occurred_inventory
FROM raena_analytics.om_oos_restock_2 a
INNER JOIN
  (SELECT restock,
          age_group,
          sku,
          warehouse
   FROM
     (SELECT restock,
             age_group,
             warehouse,
             sku,
             row_number() over (partition BY age_group,warehouse,sku
                                ORDER BY Max_inventory DESC) AS R
      FROM
        (SELECT cnt AS restock,
                age_group,
                warehouse,
                sku,
                count(*) AS Max_inventory
         FROM raena_analytics.om_oos_restock_2
         GROUP BY cnt,
                  age_group,
                  warehouse,
                  sku
         ORDER BY 5 DESC,1) A) B
   WHERE R=1
   ORDER BY 2,
            3) b ON a.sku=b.sku
AND a.age_group=b.age_group
AND a.warehouse=b.warehouse;


DROP TABLE IF EXISTS raena_analytics.om_oos_restock_4;


CREATE TABLE raena_analytics.om_oos_restock_4 AS
SELECT a.*,
       b."<=3 Maximum_occurred_inventory",
       "4-7 Maximum_occurred_inventory",
       "8-15 Maximum_occurred_inventory",
       "GT 15 Maximum_occurred_inventory"
FROM raena_analytics.om_oos_restock_3 a
INNER JOIN
  ( SELECT DISTINCT sku,
                    warehouse,
                    sum(CASE WHEN Age_group IN ('<=3') THEN Maximum_occurred_inventory END)AS "<=3 Maximum_occurred_inventory",
                     sum(CASE WHEN Age_group IN ('4-7') THEN Maximum_occurred_inventory END) AS "4-7 Maximum_occurred_inventory", 
                     sum(CASE WHEN Age_group IN ('8-15') THEN Maximum_occurred_inventory END) AS "8-15 Maximum_occurred_inventory", 
                     sum(CASE WHEN Age_group IN ('GT 15') THEN Maximum_occurred_inventory END)AS "GT 15 Maximum_occurred_inventory"
   FROM raena_analytics.om_oos_restock_3
   GROUP BY 1,
            2
   ORDER BY sku ) b ON a.sku=b.sku
AND a.warehouse=b.warehouse;

drop table if exists raena_analytics.om_oos_restock_4_stage1;

create table raena_analytics.om_oos_restock_4_stage1
as 
 SELECT sku,
           sold_out_fl,
           warehouse
   FROM
     ( SELECT *,
              row_number() over (partition BY sku
                                 ORDER BY sold_out_fl) AS R
      FROM
        ( SELECT DISTINCT sku,
                          warehouse,
                          CASE WHEN ((age=16)
                                     AND restock=0)
                                    AND ("8-15 Maximum_occurred_inventory"=0)
                                    AND "4-7 Maximum_occurred_inventory"=0
                                    AND "<=3 Maximum_occurred_inventory"=0 
                                    THEN '1.GT 15 and sold out' 
                              WHEN (age=8 AND restock=0)
                                    AND "4-7 Maximum_occurred_inventory"=0
                                    AND "<=3 Maximum_occurred_inventory"=0 
                                    THEN '2.8-15 AND s OLD OUT' 
                              WHEN ((age=4) AND restock=0)
                                     AND "<=3 Maximum_occurred_inventory"=0 
                                     THEN '3.4-7 and sold out' 
                              WHEN (age=1 AND restock=0) 
                                     THEN '4.<=3 and sold out' 
                        ELSE '5.stocked' END AS sold_out_fl
         FROM raena_analytics.om_oos_restock_4
          )A )B
   WHERE R=1 ;

drop table if exists raena_analytics.om_oos_restock_4_stage2;
create table raena_analytics.om_oos_restock_4_stage2
as
 SELECT sku,
           sum(quantity)/count(DISTINCT cast(transaction_date AS date)) AS runrate
   FROM raena_analytics.gm_dashboard
   WHERE cast(transaction_date AS date)>=cast((CURRENT_DATE-90) AS date)
   GROUP BY sku;

DROP TABLE IF EXISTS raena_analytics.om_oos_restock_5;

CREATE TABLE raena_analytics.om_oos_restock_5 AS
SELECT a.*,
       b.sold_out_fl,
       c.runrate AS "90_days_runrate"
FROM raena_analytics.om_oos_restock_4 a
INNER JOIN raena_analytics.om_oos_restock_4_stage1 b ON a.sku=b.sku
AND a.warehouse=b.warehouse
LEFT JOIN raena_analytics.om_oos_restock_4_stage2 c ON a.sku=c.sku;


DROP TABLE IF EXISTS raena_analytics.weight_sku_table;


CREATE TABLE raena_analytics.weight_sku_table AS
SELECT sku,
       CASE
           WHEN weight>=volume_weight THEN weight
           ELSE volume_weight
       END weight
FROM
  (SELECT a.sku,
          weight,
          (height*width*LENGTH)/6000 AS volume_weight
   FROM raena_catalog_management.product a
   WHERE CLASS<>'Bundle') A;

drop table if exists raena_analytics.om_oos_restock_5_stage1;

CREATE TABLE raena_analytics.om_oos_restock_5_stage1 AS
  SELECT sku,
          sum(payment_amount)payment_amount,
          sum(quantity)quantity,
          sub_order_shipping_id,
          sum(shipping_amount)shipping_amount
   FROM raena_analytics.rate_sheet_wise_expected_warehouse
   WHERE created_date>=(CURRENT_DATE-90)
     AND is_campaign='false'
     group by 1,4;




drop table if exists raena_analytics.om_oos_restock_5_stage2;

CREATE TABLE raena_analytics.om_oos_restock_5_stage2 AS
SELECT DISTINCT A.sku,
                A.payment_amount,
                A.quantity,
                A.sub_order_shipping_id,
                A.shipping_amount "Actual Shipping Fee", 
                DD.Expected_shipping_fee,
                jsf.expected_JTR_shipping_fee
FROM
  raena_analytics.om_oos_restock_5_stage1 A
 LEFT JOIN
 (SELECT DISTINCT sub_order_shipping_id,
                   Expected_shipping_fee
   FROM raena_analytics.rate_sheet_wise_expected_warehouse_expected_shipping_final
   WHERE Expected_shipping_fee IS NOT NULL ) DD ON A.sub_order_shipping_id=DD.sub_order_shipping_id
   LEFT join
  (SELECT sub_order_shipping_id ,
          expected_JTR_shipping_fee
   FROM raena_analytics.om_shipment_jtr_shipping_fee_base_11
   WHERE expected_JTR_shipping_fee IS NOT NULL) jsf ON A.sub_order_shipping_id=jsf.sub_order_shipping_id;
   
  DROP TABLE IF EXISTS raena_analytics.om_shipping_fee_sku_base_stage2;


CREATE TABLE raena_analytics.om_shipping_fee_sku_base_stage2 AS
SELECT A.*,
       B.weight*Quantity sku_weight,
       CASE
           WHEN (B.weight*Quantity)<1.3 THEN 1
           WHEN (B.weight*Quantity)>=1.3
                AND (ABS((B.weight*Quantity)) - FLOOR(ABS((B.weight*Quantity)))) BETWEEN 0.3 AND 0.999999 THEN FLOOR((B.weight*Quantity))+1
           ELSE FLOOR((B.weight*Quantity))
       END AS final_weight
FROM
  ( SELECT sku,
           payment_amount,
           quantity,
           sub_order_shipping_id, 
           coalesce(expected_JTR_shipping_fee,Expected_shipping_fee,"Actual Shipping Fee") AS Expected_shipping_fee,
           "Actual Shipping Fee"
   from raena_analytics.om_oos_restock_5_stage2) A
LEFT JOIN raena_analytics.weight_sku_table B ON A.sku = B.sku ;

DROP TABLE IF EXISTS raena_analytics.om_shipping_fee_sku_base_stage3;


CREATE TABLE raena_analytics.om_shipping_fee_sku_base_stage3 AS
SELECT *,
       (sku_weight*"Actual Shipping Fee")/sum(sku_weight) over(partition BY sub_order_shipping_id) new_shipment_amount,
       (sku_weight*Expected_shipping_fee)/sum(sku_weight) over(partition BY sub_order_shipping_id) new_expected_shipment_amount
FROM raena_analytics.om_shipping_fee_sku_base_stage2;

DROP TABLE IF EXISTS raena_analytics.om_oos_restock_6;

CREATE TABLE raena_analytics.om_oos_restock_6 AS
SELECT DISTINCT a.report_date,
                a.sku,
                a.sku_type,
                a.brand_name,
                a.give_away,
                a.new_sku_flag,
                a.active_status,
                "EL/PL Flag",
                a.age,
                a.gold_price,
                a.cnt,
                a.age_group,
                a.sold_out_fl,
                "90_days_runrate", 
                b.restock_days,
                c.total_runrate,
                d.avg_remaining_LM_RV,
                d.avg_All_LM_RV
FROM raena_analytics.om_oos_restock_5 a
INNER JOIN
  (SELECT sku,
          sold_out_fl,
          max(CASE WHEN restock=0
              AND sold_out_fl='1.GT 15 and sold out'
              AND age>15 THEN age WHEN restock=0
              AND sold_out_fl='2.8-15 and sold out'
              AND age BETWEEN 8 AND 15 THEN age WHEN restock=0
              AND sold_out_fl='3.4-7 and sold out'
              AND age BETWEEN 4 AND 7 THEN age WHEN restock=0
              AND sold_out_fl='4.<=3 and sold out'
              AND age <=3 THEN age END) AS restock_days
   FROM raena_analytics.om_oos_restock_5
   WHERE sold_out_fl NOT LIKE '%stocked'
   GROUP BY 1,
            2) b ON a.sku=b.sku
LEFT JOIN raena_analytics.demand_forecast_dashboard_final c ON a.sku=c.sku
LEFT JOIN
  (SELECT sku,
          avg(shipping_fee)/avg(payment_amount) AS avg_remaining_LM_RV,
          avg(new_expected_shipment_amount)/avg(payment_amount) AS avg_All_LM_RV
   FROM
     (SELECT sku, new_expected_shipment_amount, payment_amount,"Actual Shipping Fee" AS shipping_fee
      FROM
        (SELECT sku,
                (payment_amount/quantity) AS payment_amount,
                (new_shipment_amount/quantity) AS "Actual Shipping Fee", (new_expected_shipment_amount/quantity) AS new_expected_shipment_amount
         FROM raena_analytics.om_shipping_fee_sku_base_stage3
 )A) B
   WHERE payment_amount!=0
   GROUP BY 1) d ON a.sku=d.sku;