SET @start_date = DATE_SUB(CURDATE(), INTERVAL 10 DAY);
SET @end_date = DATE_SUB(CURDATE(), INTERVAL 1 DAY);

DROP TEMPORARY TABLE IF EXISTS
	tmp_junior_sales_managers;

CREATE TEMPORARY TABLE
	tmp_junior_sales_managers
		(KEY (user_id, `date`))
SELECT
	umd.`date`,
	umd.user_id,
	IFNULL(u.name_eng, u.nickname) AS junior_sales_manager
FROM
	rabota_db.npm_user_manager_by_date umd
		JOIN rabota_db.`user` u
			ON u.user_id = umd.manager_id 
WHERE
	umd.`type` = 'junior_sales_manager'
	AND umd.`date` BETWEEN DATE(@start_date) AND DATE(@end_date);

DROP TEMPORARY TABLE IF EXISTS
	tmp_sales_managers;

CREATE TEMPORARY TABLE
	tmp_sales_managers
		(KEY (user_id, `date`))
SELECT
	umd.`date`,
	umd.user_id,
	IFNULL(u.name_eng, u.nickname) AS sales_manager
FROM
	rabota_db.npm_user_manager_by_date umd
		JOIN rabota_db.`user` u
			ON u.user_id = umd.manager_id 
WHERE
	umd.`type` = 'sales_manager'
	AND umd.`date` BETWEEN DATE(@start_date) AND DATE(@end_date);

DROP TEMPORARY TABLE IF EXISTS
	tmp_account_managers;

CREATE TEMPORARY TABLE
	tmp_account_managers
		(KEY (user_id, `date`))
SELECT
	umd.`date`,
	umd.user_id,
	IFNULL(u.name_eng, u.nickname) AS account_manager
FROM
	rabota_db.npm_user_manager_by_date umd
		JOIN rabota_db.`user` u
			ON u.user_id = umd.manager_id
WHERE
	umd.`type` = 'account_manager'
	AND umd.`date` BETWEEN DATE(@start_date) AND DATE(@end_date);

DROP TEMPORARY TABLE IF EXISTS tmp_user_country;
CREATE TEMPORARY TABLE tmp_user_country (KEY(`user_id`))
SELECT u.user_id, ccr.`country_short_name` AS user_country
FROM rabota_db.`user` u
LEFT JOIN tablo.`country_commercial_region` ccr
ON u.`country` = ccr.`country_code`;

DROP TEMPORARY TABLE IF EXISTS tmp_adserver_unfilled;
CREATE TEMPORARY TABLE tmp_adserver_unfilled (KEY (`date`, sa_site_id, demand_id))
SELECT
  a.`date`,
  b.sa_site_id,
  a.network_id,
  SUM(
    a.ad_server_unfilled_impressions
  ) AS unfilled_impressions,
  (
    CASE
      WHEN network_id = 45470634
      THEN 64
      WHEN network_id = 21779055067
      THEN 85
    END
  ) AS demand_id
FROM
  tablo.gam_ad_server_data a
  JOIN rabota_db.site_area_design_24 b
    ON a.ad_unit_id = b.dfp_adunit_id
WHERE a.`date` BETWEEN DATE(@start_date) AND DATE(@end_date)
GROUP BY a.`date`,
  b.sa_site_id,
  a.network_id;

DROP TEMPORARY TABLE IF EXISTS
	tmp_demand_stat;

CREATE TEMPORARY TABLE
	tmp_demand_stat
		(KEY (`date`))
SELECT
	sc.`date`,
	sc.user_id,
	sc.site_id,
	IFNULL(s.url_domain, s.url) AS url,
	IFNULL(sm.sales_manager, 'None') AS sales_manager,
	IFNULL(am.account_manager, 'None') AS account_manager,
	IFNULL(jsm.junior_sales_manager, 'None') AS junior_sales_manager,
	sc.adv_net_id AS demand_id,
	SUM(sc.external_view_count) AS impressions,
	SUM(sc.external_first_view_count) AS first_impressions,
	SUM(sc.external_viewability_measured_impressions) AS viewability_measured,
	SUM(sc.external_viewability_viewed_impressions) AS viewability_viewed,
	SUM(sc.adv_expense_gbp) AS adv_expense_gbp,
	SUM(sc.partner_gain_gbp) AS partner_gain_gbp,
	SUM(sc.adv_expense_base) AS adv_expense_rub,
	SUM(sc.partner_gain_base) AS partner_gain_rub,
	SUM(sc.hit_count) AS clicks,
	SUM(sc.external_first_request_count) AS requests,
	unf.unfilled_impressions AS unfilled_impressions,
	uc.user_country
FROM
	rabota_db.npm_site_area_stat_cache sc
		JOIN rabota_db.`site` s
			ON s.site_id = sc.site_id
		LEFT JOIN tmp_sales_managers sm
			ON sm.user_id = sc.user_id
			AND sm.`date` = sc.`date`
		LEFT JOIN tmp_account_managers am
			ON am.user_id = sc.user_id
			AND am.`date` = sc.`date`
		LEFT JOIN tmp_junior_sales_managers jsm
			ON jsm.user_id = sc.user_id
			AND jsm.date = sc.date
		LEFT JOIN tmp_user_country uc
			ON uc.user_id = sc.user_id
		LEFT JOIN tmp_adserver_unfilled unf
			ON sc.date = unf.date
			AND sc.site_id = unf.sa_site_id
			AND sc.adv_net_id = unf.demand_id
WHERE
	sc.`date` BETWEEN DATE(@start_date) AND DATE(@end_date)
GROUP BY
	sc.`date`,
	sc.site_id,
	sc.adv_net_id
HAVING
	SUM(sc.adv_expense) > 0;

DROP TEMPORARY TABLE IF EXISTS
	tmp_usd_rate;

CREATE TEMPORARY TABLE
	tmp_usd_rate
		(KEY (`date`))
SELECT
	e.`date`,
	AVG(e.exrate) AS exrate
FROM
	rabota_db.exchange_rate e
WHERE
	e.`date` BETWEEN DATE(@start_date) AND DATE(@end_date)
	AND e.source_cur_id = 6
	AND e.destination_cur_id = 2
GROUP BY
	e.`date`;

DROP TEMPORARY TABLE IF EXISTS
	tmp_eur_rate;

CREATE TEMPORARY TABLE
	tmp_eur_rate
		(KEY (`date`))
SELECT
	e.`date`,
	AVG(e.exrate) AS exrate
FROM
	rabota_db.exchange_rate e
WHERE
	e.`date` BETWEEN DATE(@start_date) AND DATE(@end_date)
	AND e.source_cur_id = 6
	AND e.destination_cur_id = 4
GROUP BY
	e.`date`;

DROP TEMPORARY TABLE IF EXISTS tmp_rub_rate;
CREATE TEMPORARY TABLE tmp_rub_rate (KEY (`date`))
SELECT
e.`date`,
AVG(e.exrate) AS exrate
FROM rabota_db.exchange_rate e
WHERE e.`date` BETWEEN DATE(@start_date) AND DATE(@end_date)
AND e.source_cur_id = 6
AND e.destination_cur_id = 1
GROUP BY e.`date`;

DROP TEMPORARY TABLE IF EXISTS
	tmp_site_create_date;

CREATE TEMPORARY TABLE
	tmp_site_create_date
		(KEY (site_id))
SELECT
	sc.site_id,
	MIN(sc.`date`) AS site_create_date
FROM
	tablo.activation_dates sc
GROUP BY
	sc.site_id;

DROP TEMPORARY TABLE IF EXISTS
	tmp_user_create_date;

CREATE TEMPORARY TABLE
	tmp_user_create_date
		(KEY (user_id))
SELECT
	sc.user_id,
	MIN(sc.`date`) AS user_create_date
FROM
	tablo.activation_dates sc
GROUP BY
	sc.user_id;

#user_segment
DROP TEMPORARY TABLE IF EXISTS bob_date_pub;
CREATE TEMPORARY TABLE bob_date_pub
SELECT
  `date`,
  IFNULL(u.`moved_to_user_id`,r.`publisher_id`) AS publisher_id,
  SUM(r.`adv_expense_gbp`) AS adv_expense_gbp
FROM
  bi.book_of_business_report r
  JOIN rabota_db.`user` u
    ON (r.`publisher_id` = u.`user_id`)
GROUP BY IFNULL(u.`moved_to_user_id`,r.`publisher_id`),
  `date`
HAVING SUM(r.`adv_expense_gbp`)>1;

#summary for each publisher, no date filtering
DROP TEMPORARY TABLE IF EXISTS bob_pub_summary; 
CREATE TEMPORARY TABLE bob_pub_summary (KEY (publisher_id))
SELECT
  r.publisher_id, 
  CASE 
   WHEN AVG(`adv_expense_gbp`)>=0 AND AVG(`adv_expense_gbp`)<50 THEN '[1] <50'  
   WHEN AVG(`adv_expense_gbp`)>=50 AND AVG(`adv_expense_gbp`)<500 THEN '[2] 50-500'
   WHEN AVG(`adv_expense_gbp`)>=500 AND AVG(`adv_expense_gbp`)<1000 THEN '[3] 500-1000'
   WHEN AVG(`adv_expense_gbp`)>=1000 AND AVG(`adv_expense_gbp`)<5000 THEN '[4] 1000-5000'
   WHEN AVG(`adv_expense_gbp`)>=5000 AND AVG(`adv_expense_gbp`)<10000 THEN '[5] 5000-10000'
   WHEN AVG(`adv_expense_gbp`)>=10000 THEN '[6] 10000+'
   ELSE 'error'
  END AS revenue_segment
FROM
  bob_date_pub r
  JOIN rabota_db.`user` u
    ON (r.`publisher_id` = u.`user_id`)
  WHERE r.`adv_expense_gbp`>1 AND u.`billing_source`!='nobilling' AND r.`publisher_id`>0
GROUP BY r.`publisher_id`;

#site_segment
DROP TEMPORARY TABLE IF EXISTS bob_date_site;
CREATE TEMPORARY TABLE bob_date_site
SELECT
  `date`,
  site_id,
  IFNULL(u.`moved_to_user_id`,r.`publisher_id`) AS publisher_id,
  SUM(r.`adv_expense_gbp`) AS adv_expense_gbp
FROM
  bi.book_of_business_report r
  JOIN rabota_db.`user` u
    ON (r.`publisher_id` = u.`user_id`)
GROUP BY IFNULL(u.`moved_to_user_id`,r.`publisher_id`),
  `date`,
  site_id
HAVING SUM(r.`adv_expense_gbp`)>1;

#summary for each publisher, no date filtering
DROP TEMPORARY TABLE IF EXISTS bob_site_summary; 
CREATE TEMPORARY TABLE bob_site_summary (KEY (site_id))
SELECT
  r.site_id, 
  CASE 
   WHEN AVG(`adv_expense_gbp`)>=0 AND AVG(`adv_expense_gbp`)<50 THEN '[1] <50'  
   WHEN AVG(`adv_expense_gbp`)>=50 AND AVG(`adv_expense_gbp`)<500 THEN '[2] 50-500'
   WHEN AVG(`adv_expense_gbp`)>=500 AND AVG(`adv_expense_gbp`)<1000 THEN '[3] 500-1000'
   WHEN AVG(`adv_expense_gbp`)>=1000 AND AVG(`adv_expense_gbp`)<5000 THEN '[4] 1000-5000'
   WHEN AVG(`adv_expense_gbp`)>=5000 AND AVG(`adv_expense_gbp`)<10000 THEN '[5] 5000-10000'
   WHEN AVG(`adv_expense_gbp`)>=10000 THEN '[6] 10000+'
   ELSE 'error'
  END AS revenue_segment
FROM
  bob_date_site r
  JOIN rabota_db.`user` u
    ON (r.`publisher_id` = u.`user_id`)
  WHERE r.`adv_expense_gbp`>1 AND u.`billing_source`!='nobilling' AND r.`publisher_id`>0
GROUP BY r.`site_id`;

# list of dates for sites when adv_expense_gbp > 0.2
DROP TEMPORARY TABLE IF EXISTS site_date_expense_02;
CREATE TEMPORARY TABLE site_date_expense_02 (KEY (site_id))
SELECT
  sc.`site_id`,
  sc.`date`,
  SUM(sc.`adv_expense_gbp`) AS adv_expense_gbp
FROM
  rabota_db.`npm_site_area_stat_cache` sc
WHERE sc.date BETWEEN DATE(@start_date)
  AND DATE(@end_date)
GROUP BY sc.`site_id`,
  sc.`date`
HAVING SUM(sc.`adv_expense_gbp`) > 0.2;

#copy of site_date_expense_02 for Update
DROP TEMPORARY TABLE IF EXISTS site_date_expense_02_b;
CREATE TEMPORARY TABLE site_date_expense_02_b (KEY (site_id))
SELECT
  sc.`site_id`,
  sc.`date`,
  SUM(sc.`adv_expense_gbp`) AS adv_expense_gbp
FROM
  rabota_db.`npm_site_area_stat_cache` sc
WHERE sc.date BETWEEN DATE(@start_date)
  AND DATE(@end_date)
GROUP BY sc.`site_id`,
  sc.`date`
HAVING SUM(sc.`adv_expense_gbp`) > 0.2;

# list of sites with last date when adv_expense_gbp > 1, excluding yesterday; in other words, deactivated sites
# logic: if yesterday adv_expense_gbp is > 1, then site is active, otherwise it is deactivated
DROP TEMPORARY TABLE IF EXISTS site_deactiv_1;
CREATE TEMPORARY TABLE site_deactiv_1 (KEY (site_id))
SELECT
  sde02.site_id,
  MAX(sde02.date) AS site_deactivation_date
FROM
  site_date_expense_02 sde02
WHERE
  sde02.adv_expense_gbp > 1
GROUP BY sde02.site_id
HAVING MAX(sde02.date) < DATE_SUB(CURDATE(), INTERVAL 1 DAY);

# list of sites with last date when adv_expense_gbp > 0.2, excluding yesterday; in other words, deactivated sites
# logic: if yesterday adv_expense_gbp is > 0.2, then site is active, otherwise it is deactivated
DROP TEMPORARY TABLE IF EXISTS site_deactiv_02;
CREATE TEMPORARY TABLE site_deactiv_02 (KEY (site_id))
SELECT
  sde02.site_id,
  MAX(sde02.date) AS site_deactivation_date
FROM
  site_date_expense_02 sde02
GROUP BY sde02.site_id
HAVING MAX(sde02.date) < DATE_SUB(CURDATE(), INTERVAL 1 DAY);

# list of dates for users when adv_expense_gbp > 1
DROP TEMPORARY TABLE IF EXISTS user_date_expense_1;
CREATE TEMPORARY TABLE user_date_expense_1 (KEY (user_id))
SELECT
  sc.`user_id`,
  sc.`date`,
  SUM(sc.`adv_expense_gbp`) AS adv_expense_gbp
FROM
  rabota_db.`npm_site_area_stat_cache` sc
WHERE sc.date BETWEEN DATE(@start_date)
  AND DATE(@end_date)
GROUP BY sc.`user_id`,
  sc.`date`
HAVING SUM(sc.`adv_expense_gbp`) > 1;

DROP TEMPORARY TABLE IF EXISTS user_date_expense_1_move;
CREATE TEMPORARY TABLE user_date_expense_1_move (KEY (real_user))
SELECT
  ude1.`user_id`,
  ude1.`date`,
  ude1.`adv_expense_gbp`,
  IFNULL(u.moved_to_user_id, ude1.user_id) AS real_user
FROM
  user_date_expense_1 ude1
  JOIN rabota_db.`user` u ON ude1.user_id = u.user_id;

# list of users with last date when adv_expense_gbp > 1, excluding yesterday; in other words, deactivated users
# logic: if yesterday adv_expense_gbp is > 1, then user is active, otherwise it is deactivated
DROP TEMPORARY TABLE IF EXISTS user_deactiv_1;
CREATE TEMPORARY TABLE user_deactiv_1 (KEY (real_user))
SELECT
  ude1m.real_user,
  MAX(ude1m.date) AS user_deactivation_date
FROM
  user_date_expense_1_move ude1m
GROUP BY ude1m.real_user
HAVING MAX(ude1m.date) < DATE_SUB(CURDATE(), INTERVAL 1 DAY);

# current status for newly inserted sites
# otherwise adv_expense_gbp < 1 will remain Null when they may already have deactivation dates
DROP TEMPORARY TABLE IF EXISTS site_deactiv_current;
CREATE TEMPORARY TABLE site_deactiv_current (KEY (site_id))
SELECT DISTINCT
  c.site_id,
  c.site_deactivation_date
FROM
  tablo.commercial_regions_daily_revenue c;

# current status for newly inserted users
# otherwise adv_expense_gbp < 1 will remain Null when they may already have deactivation dates
DROP TEMPORARY TABLE IF EXISTS user_deactiv_current;
CREATE TEMPORARY TABLE user_deactiv_current (KEY (user_id))
SELECT DISTINCT
  c.user_id,
  c.user_deactivation_date
FROM
  tablo.commercial_regions_daily_revenue c
WHERE demand_id <> -1
;

# list of current account managers
DROP TEMPORARY TABLE IF EXISTS curr_acc_manager;
CREATE TEMPORARY TABLE curr_acc_manager (KEY (user_id))
SELECT
	umd.user_id,
	IFNULL(u.name_eng, u.nickname) AS account_manager
FROM
	rabota_db.npm_user_manager_by_date umd
		JOIN rabota_db.`user` u
			ON u.user_id = umd.manager_id
WHERE
	umd.`type` = 'account_manager'
	AND umd.`date` = DATE(@end_date);

DELETE FROM
	tablo.commercial_regions_daily_revenue
WHERE
	`date` BETWEEN DATE(@start_date) AND DATE(@end_date);

INSERT INTO
	tablo.commercial_regions_daily_revenue
(
	`date`,
	user_id,
	site_id,
	url,
	sales_manager,
	account_manager,
	junior_sales_manager,
	demand_id,
	impressions,
	first_impressions,
	viewability_measured,
	viewability_viewed,
	adv_expense_gbp,
	partner_gain_gbp,
	adv_expense_rub,
	partner_gain_rub,
	adv_expense_usd,
	partner_gain_usd,
	adv_expense_eur,
	partner_gain_eur,
	clicks,
	requests,
	unfilled_impressions,
	user_country
)
SELECT
	d.`date`,
	d.user_id,
	d.site_id,
	d.url,
	d.sales_manager,
	d.account_manager,
	d.junior_sales_manager,
	d.demand_id,
	d.impressions,
	d.first_impressions,
	d.viewability_measured,
	d.viewability_viewed,
	d.adv_expense_gbp,
	d.partner_gain_gbp,
	d.adv_expense_rub,
	d.partner_gain_rub,
	ROUND(d.adv_expense_gbp * u.exrate, 8),
	ROUND(d.partner_gain_gbp * u.exrate, 8),
	ROUND(d.adv_expense_gbp * e.exrate, 8),
	ROUND(d.partner_gain_gbp * e.exrate, 8),
	clicks,
	requests,
	unfilled_impressions,
	user_country
FROM
	tmp_demand_stat d
		JOIN tmp_usd_rate u
			ON u.`date` = d.`date`
		JOIN tmp_eur_rate e
			ON e.`date` = d.`date`;

# temporary solution; dioguinho.pt moved to dioguinho.com with old site_id, new site_id is useless, has some residual stats
DELETE FROM
	tablo.commercial_regions_daily_revenue
WHERE
	site_id = 221255;


DROP TEMPORARY TABLE IF EXISTS tmp_reactivation_sites;
CREATE TEMPORARY TABLE tmp_reactivation_sites (KEY(reactivation_date, site_id))
SELECT site_id, MAX(reactivation_date) AS reactivation_date
FROM tablo.`reactivation_sites`
GROUP BY site_id;

#custom for akket.com
UPDATE tablo.`commercial_regions_daily_revenue`
SET site_create_date = '2022-03-18'
WHERE site_id = 210511;

UPDATE
    tablo.commercial_regions_daily_revenue c
        LEFT JOIN rabota_db.demand_source d
            ON d.cmf_system_id = c.demand_id
SET
    c.demand_name = IFNULL(d.name, 'Unknown');

# determine top sites of users

# for active users

# temp tables are created here, because updated user deactivation date is used
# last 30 days stats of active users by site
DROP TEMPORARY TABLE IF EXISTS
	active_user_site_a;
CREATE TEMPORARY TABLE
	active_user_site_a
		(KEY (user_id, url))
SELECT
	t.user_id, t.`url`, SUM(t.`adv_expense_gbp`) AS total_adv_expense_gbp
FROM
	tablo.commercial_regions_daily_revenue t
WHERE
	t.user_deactivation_date IS NULL
	AND t.date BETWEEN DATE_SUB(CURDATE(), INTERVAL 30 DAY) AND DATE(@end_date)
GROUP BY
	t.user_id, t.`url`
HAVING
	SUM(t.`adv_expense_gbp`) > 0;

# last 30 days stats of active users by site; copy of previous temp table, because temp tables cannot be used twice in one query
DROP TEMPORARY TABLE IF EXISTS
	active_user_site_b;
CREATE TEMPORARY TABLE
	active_user_site_b
		(KEY (user_id, url))
SELECT
	t.user_id, t.`url`, SUM(t.`adv_expense_gbp`) AS total_adv_expense_gbp
FROM
	tablo.commercial_regions_daily_revenue t
WHERE
	t.user_deactivation_date IS NULL
	AND t.date BETWEEN DATE_SUB(CURDATE(), INTERVAL 30 DAY) AND DATE(@end_date)
GROUP BY
	t.user_id, t.`url`
HAVING
	SUM(t.`adv_expense_gbp`) > 0;

# top sites of active users based on last 30 days
DROP TEMPORARY TABLE IF EXISTS
	top_user_site_activ;
CREATE TEMPORARY TABLE
	top_user_site_activ
		(KEY (user_id, url))
SELECT
	a.user_id, a.url
FROM
	active_user_site_a a
WHERE
	a.total_adv_expense_gbp = (SELECT MAX(total_adv_expense_gbp) FROM active_user_site_b b WHERE b.user_id = a.user_id);

# for deactivated users

# all time stats of deactivated users by site
DROP TEMPORARY TABLE IF EXISTS
	bob_top_user_site_a;
CREATE TEMPORARY TABLE
	bob_top_user_site_a
		(KEY (publisher_id, site_url))
SELECT
	t.publisher_id, t.`site_url`, SUM(t.`adv_expense_gbp`) AS total_adv_expense_gbp
FROM
	bi.`book_of_business_report` t
GROUP BY
	t.publisher_id, t.`site_url`
HAVING
	SUM(t.`adv_expense_gbp`) > 0;

# all time stats of deactivated users by site; copy of previous temp table, because temp tables cannot be used twice in one query
DROP TEMPORARY TABLE IF EXISTS
	bob_top_user_site_b;
CREATE TEMPORARY TABLE
	bob_top_user_site_b
		(KEY (publisher_id, site_url))
SELECT
	t.publisher_id, t.`site_url`, SUM(t.`adv_expense_gbp`) AS total_adv_expense_gbp
FROM
	bi.`book_of_business_report` t
GROUP BY
	t.publisher_id, t.`site_url`
HAVING
	SUM(t.`adv_expense_gbp`) > 0;

# top sites of deactivated users based on all time stats
DROP TEMPORARY TABLE IF EXISTS
	top_user_site_deactiv;
CREATE TEMPORARY TABLE
	top_user_site_deactiv
		(KEY (publisher_id, site_url))
SELECT
	a.publisher_id, a.site_url
FROM
	bob_top_user_site_a a
WHERE
	a.total_adv_expense_gbp = (SELECT MAX(total_adv_expense_gbp) FROM bob_top_user_site_b b WHERE b.publisher_id = a.publisher_id);


DROP TEMPORARY TABLE IF EXISTS tmp_final_update;
CREATE TEMPORARY TABLE tmp_final_update (KEY(site_id))
SELECT 
s.`site_id`, 
s.`user_id`,
IFNULL(am.account_manager, 'None') AS account_manager_current,
user_activ.user_create_date,
u.`email` AS user_email,
IFNULL(u.commercial_region, 'other') AS commercial_region,
bob_pub.revenue_segment AS user_segment,
bob_site.revenue_segment AS site_segment,
site_activ.site_create_date,
r.`reactivation_date` AS reactivation_month,
CASE
WHEN site_deac_curr.site_id IS NOT NULL THEN site_deac_curr.site_deactivation_date
WHEN 
(bob_site.revenue_segment = '[1] <50' OR 
((bob_site.revenue_segment != '[1] <50' OR bob_site.revenue_segment IS NULL)
AND site_02_b.site_id IS NOT NULL)) THEN NULL 
WHEN (bob_site.revenue_segment != '[1] <50' OR bob_site.revenue_segment IS NULL) THEN sd1.site_deactivation_date
WHEN (bob_site.revenue_segment = '[1] <50') THEN sd02.site_deactivation_date
END AS site_deactivation_date,
CASE 
WHEN user_deac_curr.user_id IS NOT NULL THEN user_deac_curr.user_deactivation_date
WHEN ude1.real_user IS NOT NULL THEN NULL
WHEN ud1.real_user IS NOT NULL THEN ud1.user_deactivation_date 
END AS user_deactivation_date,
IF( 
CASE 
WHEN user_deac_curr.user_id IS NOT NULL THEN user_deac_curr.user_deactivation_date
WHEN ude1.real_user IS NOT NULL THEN NULL
WHEN ud1.real_user IS NOT NULL THEN ud1.user_deactivation_date 
END IS NOT NULL, u.`stopping_reason`, NULL) AS user_stop_reason,
IF( 
CASE 
WHEN user_deac_curr.user_id IS NOT NULL THEN user_deac_curr.user_deactivation_date
WHEN ude1.real_user IS NOT NULL THEN NULL
WHEN ud1.real_user IS NOT NULL THEN ud1.user_deactivation_date 
END IS NULL, top_activ.url, top_deac.site_url) AS user_top_site
FROM rabota_db.`site` s
JOIN rabota_db.`user` u
	ON u.`user_id` = s.`user_id`
LEFT JOIN bob_pub_summary bob_pub
	ON bob_pub.publisher_id = s.user_id
LEFT JOIN tmp_user_create_date user_activ
	ON user_activ.user_id = s.user_id
LEFT JOIN curr_acc_manager am
	ON am.user_id = s.user_id
LEFT JOIN bob_site_summary bob_site
	ON bob_site.site_id = s.site_id
LEFT JOIN tmp_site_create_date site_activ
	ON site_activ.site_id = s.site_id
LEFT JOIN tmp_reactivation_sites r
	ON r.`site_id` = s.`site_id`
LEFT JOIN (SELECT DISTINCT site_id FROM site_date_expense_02) site_02
	ON site_02.site_id = s.`site_id`
LEFT JOIN (SELECT DISTINCT site_id FROM site_date_expense_02_b WHERE adv_expense_gbp > 1) site_02_b
	ON site_02_b.site_id = s.`site_id`
LEFT JOIN site_deactiv_1 sd1
	ON sd1.site_id = s.site_id
LEFT JOIN site_deactiv_02 sd02
	ON sd02.site_id = s.site_id
LEFT JOIN (SELECT DISTINCT real_user FROM user_date_expense_1_move) ude1
	ON ude1.real_user = s.user_id
LEFT JOIN user_deactiv_1 ud1
	ON ud1.real_user = s.user_id 
LEFT JOIN top_user_site_activ top_activ
	ON top_activ.user_id = s.user_id
LEFT JOIN top_user_site_deactiv top_deac
	ON top_deac.publisher_id = s.user_id
LEFT JOIN site_deactiv_current site_deac_curr
	ON site_deac_curr.site_id = s.site_id
LEFT JOIN user_deactiv_current user_deac_curr
	ON user_deac_curr.user_id = s.user_id
;

UPDATE tablo.`commercial_regions_daily_revenue` c
LEFT JOIN tmp_final_update tmp
ON c.`site_id` = tmp.site_id
SET 
c.`account_manager_current` = tmp.account_manager_current,
c.user_create_date = tmp.user_create_date,
c.`user_email` = tmp.user_email,
c.commercial_region = tmp.commercial_region,
c.user_segment = tmp.user_segment,
c.site_segment = tmp.site_segment,
c.`site_create_date` = tmp.site_create_date,
c.reactivation_month = tmp.reactivation_month,
c.site_deactivation_date = tmp.site_deactivation_date,
c.user_deactivation_date = tmp.user_deactivation_date,
c.user_stop_reason = tmp.user_stop_reason,
c.user_top_site = tmp.user_top_site
;



DELETE FROM
	tablo.commercial_regions_daily_revenue_no_ds
WHERE
	`date` BETWEEN DATE(@start_date) AND DATE(@end_date);

INSERT INTO
	tablo.commercial_regions_daily_revenue_no_ds
(
	`date`,
	user_id,
	site_id,
	url,
	sales_manager,
	account_manager,
	impressions,
	viewability_measured,
	viewability_viewed,
	adv_expense_gbp,
	partner_gain_gbp,
	adv_expense_rub,
	partner_gain_rub,
	adv_expense_usd,
	partner_gain_usd,
	adv_expense_eur,
	partner_gain_eur,
	unfilled_impressions
)
SELECT
	c.`date`,
	c.user_id,
	c.site_id,
	c.url,
	c.sales_manager,
	c.account_manager,
	SUM(c.impressions),
	SUM(c.viewability_measured),
	SUM(c.viewability_viewed),
	SUM(c.adv_expense_gbp),
	SUM(c.partner_gain_gbp),
	SUM(c.adv_expense_rub),
	SUM(c.partner_gain_rub),
	SUM(c.adv_expense_usd),
	SUM(c.partner_gain_usd),
	SUM(c.adv_expense_eur),
	SUM(c.partner_gain_eur),
	SUM(c.unfilled_impressions)
FROM
	tablo.commercial_regions_daily_revenue c
WHERE
	c.`date` BETWEEN DATE(@start_date) AND DATE(@end_date)
        AND c.demand_id <> -1
GROUP BY
	c.`date`,
	c.site_id;


UPDATE
	tablo.commercial_regions_daily_revenue_no_ds c
		LEFT JOIN rabota_db.`user` u
			ON u.user_id = c.user_id
		LEFT JOIN tmp_site_create_date s
			ON s.site_id = c.site_id
SET
	c.commercial_region = IFNULL(u.commercial_region, 'other'),
	c.site_create_date = s.site_create_date;

UPDATE
	tablo.commercial_regions_daily_revenue a
		LEFT JOIN rabota_db.site s
			ON s.site_id = a.site_id
		LEFT JOIN rabota_db.site_category c
			ON c.category_id = s.category_id
SET
	a.site_category = IFNULL(c.name, 'Unknown')
WHERE a.`date` BETWEEN @start_date AND @end_date;

DROP TEMPORARY TABLE IF EXISTS pipedrive_data;
CREATE TEMPORARY TABLE pipedrive_data (KEY(publisher_id))
SELECT po.organization_custom_clickio_user_id AS publisher_id,
GROUP_CONCAT(poa.label) AS 'pd_org_lead_channel'
FROM rabota_db.pipedrive_organization po
JOIN rabota_db.pipedrive_organization_attrs poa
ON po.organization_id = poa.organization_id AND poa.attr_name = 'lead_channel'
WHERE po.organization_custom_clickio_user_id IS NOT NULL
GROUP BY po.organization_id;

UPDATE tablo.`commercial_regions_daily_revenue` r
LEFT JOIN pipedrive_data pd
ON pd.publisher_id = r.user_id
SET r.lead_channel = pd.pd_org_lead_channel
WHERE r.`date` BETWEEN @start_date AND @end_date;

#user_bu_id,user_billing_country,user_payment_method
UPDATE tablo.`commercial_regions_daily_revenue` r USE INDEX (DATE)
    JOIN bi.user u ON (r.user_id=u.user_id)
SET
    r.user_bu_id=IF(u.user_subnet_id=19,13,IF(u.user_subnet_id=21,15,0)),
    r.user_billing_country = u.user_billing_country,
    r.user_payment_method=u.payment_method,
    r.user_tag=u.user_tag
WHERE r.`date` BETWEEN @start_date AND @end_date;


#demand_bu_id
UPDATE tablo.`commercial_regions_daily_revenue` r USE INDEX (DATE)
    JOIN rabota_db.cmf_system cs ON (r.demand_id=cs.cmf_system_id)
SET r.demand_bu_id=cs.business_unit_id
WHERE r.`date` BETWEEN @start_date AND @end_date;


#Jacopo asked to remove publisher deactivation date for these publishers temporarily
UPDATE tablo.`commercial_regions_daily_revenue`
SET user_deactivation_date = NULL
WHERE user_id IN (145101, 146953);


SELECT
	1 AS STATUS,
	'OK' AS message;