CREATE OR REPLACE TABLE CANDIVORE.SEMANTIC_LAYER.T_REVENUE_DASHBOARD AS

SELECT
DATE(A.derived_tstamp) AS interval_date
,B.league
,B.trophy_group
, CASE
    WHEN A.LT_PURCHASES_AMT > 0 THEN ''paying_user''
    ELSE ''non_paying_user''
END Paying_user
, B.LTV_group
, B.ltv_group_30d
, date_trunc(''MONTH'',DATE(A.first_install_dt)) AS monthly_cohort
, B.country
, B.platform
, A.purchase_type
, A.purchase_subtype
, A.price_point
, A.template_id
, A.package
, A.special_offer_id
, A.sub_offer_id
, CASE WHEN A.lt_purchases_amt = 1 THEN 1 ELSE 0 END ftds
, CASE WHEN A.lt_purchases_amt = 2 THEN 1 ELSE 0 END stds
, CASE WHEN A.lt_purchases_amt = 3 THEN 1 ELSE 0 END ttds
, COUNT(A.iap_price) AS Purchases
, SUM(A.iap_price) AS Revenue
, COUNT(DISTINCT A.user_id) AS Active_Users
FROM
((SELECT *, DATE(derived_tstamp) interval_Date FROM CANDIVORE.PROD.F_IN_APP_PURCHASE WHERE DATE(derived_tstamp) >= ''2022-10-01'') A

LEFT JOIN

(SELECT
user_id
, interval_date
, country
, LANGUAGE
, platform
, app_version
, app_minor_version
, ltv_group
, DATE(first_install_dt) AS install_date
, CASE
    WHEN trophies_cnt < 125 THEN ''0-125''
    WHEN trophies_cnt < 1400 THEN ''125-1400''
    WHEN trophies_cnt < 2000 THEN ''1400-2000''
    WHEN trophies_cnt < 3800 THEN ''2000-3800''
    WHEN trophies_cnt < 7000 THEN ''3800-7000''
    WHEN trophies_cnt < 16000 THEN ''7000-16000''
    WHEN trophies_cnt < 30000 THEN ''16000-30000''
    WHEN trophies_cnt >= 30000 THEN ''30000+''
  END AS trophy_group
,CASE
    WHEN trophies_cnt < 800 THEN ''800''
    WHEN finish_arena<=13 THEN ''Studios''
    WHEN finish_arena<=22 THEN ''Master_League''
    WHEN finish_arena>=23 THEN ''Legends_League''
 END league
,CASE
WHEN iap_30d = 0 THEN ''0''
WHEN iap_30d <= 0.2 THEN ''low_0-0.2''
WHEN iap_30d <= 2 THEN ''med_0.2-2''
WHEN iap_30d <= 5 THEN ''high_2-5''
WHEN iap_30d <= 15 THEN ''very_high_5-15''
WHEN iap_30d > 15 THEN ''VIP_15+''
ELSE ''CHECK''
END ltv_group_30d
FROM candivore.prod.daily_users_from_params WHERE interval_date >= ''2022-10-01'') B

ON A.user_id = B.user_id AND A.interval_date = B.interval_date)

GROUP BY 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19