Alfaomega duplicated content from marketplace

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The tenant had already uploaded 232 publications from publisher Narcea, and then they arranged a deal with Narcea to have access to all their content. So those 232 publication where duplicated. This query lists all the duplicated content shared between these two tenants.

-- List duplicated content
SELECT
--  issues.external_id,
 --  tenant_issue.ti_id,
--  GROUP_CONCAT(tenant_issue.ti_id SEPARATOR ', ') AS tenant_issue_ti_ids,
 GROUP_CONCAT((
  CASE WHEN issues.tenant_id = 1305 THEN
   tenant_issue.ti_id
  WHEN issues.tenant_id = 341 THEN
   ''
  END) SEPARATOR '') AS tenant_issue_ti_ids_to_delete
--  tenant_issue.ti_tenant_id,
 --  tenant_issue.ti_issue_id,
--  GROUP_CONCAT(tenant_issue.ti_issue_id SEPARATOR ', ') AS tenant_issue_ti_issue_ids,
--  GROUP_CONCAT(terms.name SEPARATOR ', ') AS publishers,
--  COUNT(issues.external_id) AS repetitions
FROM
 tenant_issue
 JOIN issues ON issues.id = ti_issue_id
 JOIN taxables ON taxable_id = ti_issue_id
  AND taxable_type = 'issue'
 JOIN terms ON terms.id = taxables.term_id
  AND terms.taxonomy = 'publisher'
WHERE
 ti_tenant_id = 341
 --  AND issues.tenant_id = 1305
 AND issues.tenant_id IN(1305, 341)
 AND issues.deleted_at IS NULL
 -- This line is commented because the content is already "deleted"
--  AND tenant_issue.ti_deleted_at IS NULL
 AND terms.name IN('narcea', 'Narcea Ediciones')
GROUP BY
 issues.external_id
HAVING
 COUNT(issues.external_id) > 1;

IP Ranges mass insert

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INSERT INTO  'users_ip_ranges ' ( 'tenant_id ',  'user_id ',  'ip_from ',  'ip_to ',  'updated_at ',  'created_at ') VALUES (341, 75998, '190.131.254.210', NULL, NOW(), NOW())

Average sessions count per user in time range

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-- Average sessions count per user in time range
SELECT
    AVG(views) AS avg_views
FROM
    user_stats
WHERE
    updated_at BETWEEN DATE_FORMAT(NOW(), '%Y-01-01')
    AND DATE_FORMAT(NOW(), '%Y-07-01');

Payment Reports

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-- Payments report

SELECT
    tenant.name AS tenant,
    payments.payment_date AS fecha,
    payments.amount_in_cents AS monto_en_cents,
    payments.payment_payload ->> '$.data[*].amount_paid' AS monto_en_cents_from_payload,
    payments.currency_id AS moneda_principal,
    payments.amount_in_usd_cents AS monto_en_cents_USD,
    payments.gateway,
    payments.status,
    payments.payment_payload,
    payments.plan_type
FROM
    payments p
    INNER JOIN tenants ON payments.tenant_id = tenant.id
    LEFT JOIN sales_settings ON payments.sale_settings_id = sales_settings.id
WHERE
    payments.status = 'approved'
    AND payments.gateway = 'stripe'
    AND payments.amount_in_cents = 0
    AND payments.payment_date BETWEEN '2020-04-01 00:00:00'
    AND '2020-06-30 23:59:59';

Tenans admins

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-- Individual rows
SELECT
tenants.id,
 tenants.name,
 tenants.lang,
 pla_plans. `name`,
 users.email
FROM
 tenants
 JOIN sign_up_intents ON sign_up_intents.tenant_id = tenants.id
 JOIN pla_plans ON tenants.pla_plan_id = pla_plans.id
 JOIN users ON users.tenant_id = tenants.id
WHERE
 tenants.has_plan = 1
 AND users.tenant_id = tenants.id
 AND users.admin = 1
 AND users.email NOT LIKE '%publica.la%'
 AND users.email NOT LIKE '%fgilio%'
 AND users.email NOT LIKE '%franco.gilio%'
 AND users.email NOT LIKE '%plaurino%'
 AND users.email NOT LIKE '%rd3.com%'
ORDER BY
 tenants.id;

-- One row per tenant
SELECT
 tenants.id,
 tenants.name,
 tenants.lang,
 pla_plans. `name`,
 (
  SELECT
   GROUP_CONCAT(users.email SEPARATOR ', ') AS admins_emails
  FROM
   users
  WHERE
   users.tenant_id = tenants.id
   AND users.admin = 1
   AND users.email NOT LIKE '%publica.la%'
   AND users.email NOT LIKE '%fgilio%'
   AND users.email NOT LIKE '%franco.gilio%'
   AND users.email NOT LIKE '%plaurino%'
   AND users.email NOT LIKE '%rd3.com%') AS admins_emails
 FROM
  tenants
  JOIN sign_up_intents ON sign_up_intents.tenant_id = tenants.id
  JOIN pla_plans ON tenants.pla_plan_id = pla_plans.id
 WHERE
  tenants.has_plan = 1
 GROUP BY
  tenant_id
 ORDER BY
  tenants.id;

Tenant's gateways report

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SELECT
 tenants.id,
 tenants.name,
 tenants.final_domain,
 tenants.lang,
 pla_plans.name as plan,
 (
        SELECT
            GROUP_CONCAT(users.email SEPARATOR ', ') AS admins_emails
        FROM
            users
        WHERE
            users.tenant_id = tenants.id
            AND users.admin = 1
            AND users.email NOT LIKE '%publica.la%'
            AND users.email NOT LIKE '%fgilio%'
            AND users.email NOT LIKE '%franco.gilio%'
            AND users.email NOT LIKE '%plaurino%'
            AND users.email NOT LIKE '%jgarcia%'
            AND users.email NOT LIKE '%rd3.com%'
    ) AS admins_emails,
    IFNULL(sign_up_intents.agreement_percentage,'30.00'),
--  sign_up_intents.agreement_percentage,
 (
  SELECT
   mercadopago_live_client_id
  FROM
   sales_settings
  WHERE
   tenant_id = tenants.id
   AND deleted_at IS NULL) AS mercadopago_live_client_id,
 (
  SELECT
   paypal_live_client_id
  FROM
   sales_settings
  WHERE
   tenant_id = tenants.id
   AND deleted_at IS NULL) AS paypal_live_client_id,
 (
  SELECT
   payu_live_account_id
  FROM
   sales_settings
  WHERE
   tenant_id = tenants.id
   AND deleted_at IS NULL) AS payu_live_account_id,
 (
  SELECT
   stripe_live_client_id
  FROM
   sales_settings
  WHERE
   tenant_id = tenants.id
   AND deleted_at IS NULL) AS stripe_live_client_id
 FROM
  tenants
  JOIN sign_up_intents ON tenants.id = sign_up_intents.tenant_id
  JOIN pla_plans ON tenants.pla_plan_id = pla_plans.id
 WHERE
  has_plan = 1;

Ebooks Patagonia Issues CSV

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SELECT
 --  `issues`.tenant_id,
 --  `issues`.id,
 `issues`.external_id AS 'eISBN',
 `issues`.name,
 DATE(`issues`.created_at) AS 'Fecha de carga',
 (
  SELECT
   `name`
  FROM
   `tags`
   INNER JOIN `taggables` ON `tags`.`id` = `taggables`.`tag_id`
  WHERE
   `taggables`.`taggable_id` = issues.id
   AND `taggables`.`taggable_type` = 'issue'
   AND `tags`.`type` = 'category') AS 'Categoría',
 (
  SELECT
   `name`
  FROM
   `tags`
   INNER JOIN `taggables` ON `tags`.`id` = `taggables`.`tag_id`
  WHERE
   `taggables`.`taggable_id` = issues.id
   AND `taggables`.`taggable_type` = 'issue'
   AND `tags`.`type` = 'publisher') AS 'Editorial', IF((
   SELECT
    COUNT(*)
   FROM `favorites`
  WHERE
   favorites.issue_id = issues.id AND `favorites`.`user_id` = '166422'), 'si', '') AS 'Seleccionada'
  FROM
   `farfalla`.`issues`
  WHERE (`deleted_at` IS NULL) AND(`issues`.`tenant_id` = '1484')
ORDER BY
 `id` DESC;

Tenants Report

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SELECT
 t.id,
 t. `name`,
 t.final_domain,
 pp. `name` AS "plan",
 t.has_plan,
 (
  SELECT
   count(*)
  FROM
   issues
  WHERE
   tenant_id = t.id
   AND deleted_at IS NULL) AS "publications", (
   SELECT
    count(*)
   FROM
    users
   WHERE
    tenant_id = t.id
    AND deleted_at IS NULL) AS "users", (
    SELECT
     sum(amount_in_usd_cents / 100)
    FROM
     payments
    WHERE
     tenant_id = t.id
     AND status = 'approved'
     AND sandbox = 0) AS "Sales in USD", t.lang, sui.country_code, t.created_at AS "creation date"
   FROM
    tenants t
   LEFT JOIN pla_plans pp ON t.pla_plan_id = pp.id
   JOIN sign_up_intents sui ON t.id = sui.tenant_id

Report of coupons usage

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SELECT
 up.created_at as "Fecha",
 c.code as "Cupon",
 c.amount as "Descuento",
 i. `name` as "Producto",
 u.email as "email",
 p.amount_in_cents / 100 as "Total cancelado",
 p.currency_id as "moneda"
FROM
 users_plans up
 JOIN coupons c ON up.coupon_id = c.id
 JOIN payments p ON up.id = p.user_plan_id
 JOIN users u ON up.user_id = u.id
 JOIN issues i ON up.issue_id = i.id
WHERE
 up.coupon_id IS NOT NULL
-- replace by any tenant_id
 AND up.tenant_id = 2433

Tenants with FB Pixel

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SELECT
 t.final_domain,
 JSON_VALUE(tm.tracking, '$.facebook_pixel_id') as 'fb'
FROM
 tenants t
 inner JOIN tenants_meta tm ON t.id = tm.tenant_id
 where t.final_domain is not NULL
 and JSON_VALUE(tm.tracking, '$.facebook_pixel_id') <> ''

Integrations Report

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-- IP Ranges
SELECT
 t.id, t.`name`, u.email, uir.ip_from, uir.ip_to, u.sessions_limit
FROM
 users_ip_ranges uir
 LEFT JOIN tenants t ON uir.tenant_id = t.id
 LEFT JOIN users u on uir.user_id = u.id
WHERE
 t.has_plan = 1;

SELECT
 t.id, t.`name`, u.email, u.sessions_limit,
 (select COUNT(*) from users_ip_ranges WHERE users_ip_ranges.user_id = u.id) as thecount
FROM
 users u
 LEFT JOIN tenants t ON u.tenant_id = t.id
 LEFT JOIN users_ip_ranges uir on uir.user_id = u.id
WHERE
 t.has_plan = 1
 having thecount > 0;

-- URL Referrals
SELECT
 t.id, t.`name`, u.email, ur.referrer, u.sessions_limit
FROM
 users_referrers ur
 LEFT JOIN tenants t ON ur.tenant_id = t.id
 LEFT JOIN users u on ur.user_id = u.id
WHERE
 t.has_plan = 1

-- LTI
SELECT
 t.id, t.`name`, ep.plan_id, p.`name`, ep.lti_consumer_key, ep.free_access
FROM
 entry_points ep
 LEFT JOIN tenants t ON ep.tenant_id = t.id
 LEFT JOIN plans p on ep.plan_id = p.id
WHERE
 t.has_plan = 1


-- LTI Orders
SELECT
 t.id, t.`name`,u.id, u.email,  p.`name`, up.created_at, up.updated_at
FROM
 users_plans up
 LEFT JOIN users u ON up.user_id = u.id
 LEFT JOIN tenants t on up.tenant_id = t.id
 LEFT JOIN plans p on up.plan_id = p.id
--  INNER JOIN payments pa on pa.user_plan_id = up.id
WHERE
 up.gateway = 'lti'
 AND up.status = 'approved'

Get Cancelled Reasons

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SELECT
--  up.tenant_id,
 up.id,
--  up.user_id,
--  al.subject_id,
--  al.subject_type,
--  al.causer_id,
--  u.id,
--  u.email,
 IF(al.causer_type is null, 'System', u.email),
 IF(up.user_id = al.causer_id,'User','Admin'),
--  al.causer_type,
--  al.properties,
  al.created_at,
  al.updated_at
FROM
 users_plans up
 inner JOIN activity_log al on up.id = al.subject_id
 LEFT JOIN users u on up.user_id = u.id
WHERE
 up.tenant_id = 26
 and up.status = 'cancelled'
 and al.subject_type = 'App\\UserPlan'
 and JSON_VALUE(al.properties,'$.attributes.status') in ('cancelled','paused')
ORDER BY

Get retail content of a specific tenant in other stores

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SELECT
 tenants.`name`,
 tenants.final_domain,
 tenants.has_plan as 'is_active_store',
 -- commented. it's for checking if the issue is the same in both tables
 -- tenant_issue.ti_issue_id,
 -- issues.id,
 issues.external_id,
 issues.`name`,
 tenant_issue.ti_license
FROM
 issues
 INNER JOIN tenant_issue on tenant_issue.ti_issue_id = issues.id
 INNER JOIN tenants ON tenant_issue.ti_tenant_id = tenants.id
WHERE
 issues.tenant_id = {tenant_id}
 AND issues.deleted_at is null
 AND tenant_issue.ti_license = 'retail'
 AND tenant_issue.ti_deleted_at is NULL;

Get a list of tenants and their retail content counts, filtered by a specific tenant

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SELECT
 tenants.`name`,
 tenants.final_domain,
 count(tenant_issue.ti_issue_id) as 'total_issues'
FROM
 issues
 INNER JOIN tenant_issue on tenant_issue.ti_issue_id = issues.id
 INNER JOIN tenants ON tenant_issue.ti_tenant_id = tenants.id
WHERE
 issues.tenant_id = {tenant_id}
 AND issues.deleted_at is null
 AND tenant_issue.ti_license = 'retail'
 AND tenant_issue.ti_deleted_at is NULL
 AND tenants.has_plan = 1
GROUP BY tenants.id
ORDER BY total_issues DESC

Get reading statistics report ,similar to the one we have in the statistics modal in the users section, the operating system column is also added

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SELECT
    s.uuid AS id,
    u.id AS user_id,
    u.email,
    i.id AS issue_id,
    i.name AS issue_title,
    i.external_id AS issue_isbn,
    GROUP_CONCAT(DISTINCT c.first_name SEPARATOR ',') AS issue_author,
    COUNT(DISTINCT(n.id)) AS interacciones,
    COUNT(DISTINCT(s.id)) AS sessions,

    CASE
        WHEN ROUND(SUM(s.seconds_reading) / 60) > 0 THEN ROUND(SUM(s.seconds_reading) / 60)
        ELSE 'N/A'
    END AS reading_time_minutes,
    CASE
        WHEN ROUND(SUM(s.seconds_reading) / 60) > 0 THEN SEC_TO_TIME(ROUND(SUM(s.seconds_reading) / 60))
        ELSE 'N/A'
    END AS formatted_time,
--     SEC_TO_TIME(ROUND(SUM(s.seconds_reading) / 60)) AS formatted_time,
    JSON_EXTRACT_STRING(JSON_EXTRACT_JSON(te.event_properties, "request"), "userAgent") as device,
    CASE
        WHEN device LIKE '%Mac OS%' THEN 'ios'
        WHEN device LIKE '%iPhone%' THEN 'ios'
        WHEN device LIKE '%iPad%' THEN 'ios'
        WHEN device LIKE '%Windows%' THEN 'windows'
        WHEN device LIKE '%Android%' THEN 'android'
        WHEN device LIKE '%Linux%' THEN 'linux'
        WHEN device LIKE '%Ubuntu%' THEN 'linux'
        WHEN device LIKE '%Debian%' THEN 'linux'
        WHEN device LIKE '%Fedora%' THEN 'linux'
        WHEN device LIKE '%Chromebook%' THEN 'chrome_os'
        ELSE 'otro'
    END AS sistema_operativo

 
FROM
    issues i
JOIN
    tenant_issue ti ON ti.ti_issue_id = i.id
JOIN
    issue_contributors ic ON ic.issue_id = i.id
LEFT JOIN
    contributors c ON ic.contributor_id = c.id
LEFT JOIN
    issue_bisac ib ON ib.issue_id = i.id AND ib.main = 1
LEFT JOIN
    bisacs b ON b.id = ib.bisac_id
JOIN
    issue_user iu ON iu.issue_id = i.id AND iu.tenant_id = ti.ti_tenant_id
JOIN
    users u ON u.id = iu.user_id
JOIN
    coniglio.sessions s ON s.tenant_id = ti.ti_tenant_id AND s.issue_id = i.id AND s.user_id = iu.user_id
JOIN
    coniglio.track_events te ON te.tenant_id = i.tenant_id AND te.issue_id = i.id AND te.user_id = iu.user_id
LEFT JOIN 
 notes n on n.issue_id = i.id and n.user_id = iu.user_id  and n.tenant_id = i.tenant_id

WHERE
    ti.ti_tenant_id = 2899
    AND ti.ti_deleted_at IS NULL
    AND i.deleted_at IS NULL
    AND s.started_at > '2023-06-30'
    AND s.started_at <= '2024-06-30'
    AND te.event_class = "App\\Events\\SessionStart"
GROUP BY
    s.user_id,
    s.issue_id

ORDER BY
    reading_time_minutes DESC,
    u.email,
    i.name;

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