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@@ -13,6 +13,8 @@ select count(*) from user_subscriptions;
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-- NB: "active" status users are current, treating "past_due" as active too (for now)
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select count(*) from user_subscriptions where maybe_stripe_subscription_status NOT IN ("canceled", "incomplete", "incomplete_expired");
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-- ==================== TEXT TO SPEECH====================
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-- All paid subscribers generating results in the last week
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select u.username, count(*) as use_count
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from users as u
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@@ -45,7 +47,7 @@ FROM (
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) as t
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WHERE use_count > 10
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-- Paid users gennerating results in the last month
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-- Paid users generating results in the last month
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select u.username, count(*) as use_count
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from users as u
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join tts_inference_jobs as j
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@@ -59,10 +61,64 @@ AND j.created_at > NOW() - interval 1 day
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GROUP BY u.username
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ORDER BY use_count desc
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-- ==================== WAV2LIP ====================
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select u.username, count(*) as use_count
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from users as u
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join w2l_inference_jobs as j
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on u.token = j.maybe_creator_user_token
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WHERE u.token IN (
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select distinct user_token
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from user_subscriptions
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where maybe_stripe_subscription_status NOT IN ("canceled", "incomplete", "incomplete_expired")
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)
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AND j.created_at > NOW() - interval 31 day
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GROUP BY u.username
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ORDER BY use_count desc
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-- Number of paid users who created a result in the last 7 days
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select u.created_at from users as u
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where u.token IN
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(select distinct u.token from tts_inference_jobs as j join users u on u.token = j.maybe_creator_user_token where j.created_at > now() - interval 7 day)
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order by u.created_at ASC;
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select username, use_count
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FROM (
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select u.username, count(*) as use_count
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from users as u
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join w2l_inference_jobs as j
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on u.token = j.maybe_creator_user_token
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WHERE u.token IN (
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select distinct user_token
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from user_subscriptions
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where maybe_stripe_subscription_status NOT IN ("canceled", "incomplete", "incomplete_expired")
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)
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AND j.created_at > NOW() - interval 31 day
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GROUP BY u.username
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ORDER BY use_count desc
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) as t
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WHERE use_count >=5;
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-- ==================== TTS MODELS ====================
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select u.username, count(*) as use_count
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from users as u
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join tts_model_upload_jobs as j
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on u.token = j.creator_user_token
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WHERE u.token IN (
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select distinct user_token
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from user_subscriptions
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where maybe_stripe_subscription_status NOT IN ("canceled", "incomplete", "incomplete_expired")
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)
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AND j.created_at > NOW() - interval 1 day
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GROUP BY u.username
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ORDER BY use_count desc
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-- ==================== W2L TEMPLATES ====================
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select u.username, count(*) as use_count
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from users as u
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join w2l_template_upload_jobs as j
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on u.token = j.creator_user_token
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WHERE u.token IN (
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select distinct user_token
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from user_subscriptions
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where maybe_stripe_subscription_status NOT IN ("canceled", "incomplete", "incomplete_expired")
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)
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AND j.created_at > NOW() - interval 1 day
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GROUP BY u.username
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ORDER BY use_count desc
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@@ -0,0 +1,30 @@
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-- noinspection SqlDialectInspectionForFile
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-- noinspection SqlNoDataSourceInspectionForFile
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-- noinspection SqlResolveForFile
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-- NB: These are for use in Stripe Sigma, not MySQL
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-- NB: You must use single quotes instead of double quotes when comparing string values.
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-- Histogram of customers by country
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select address_country, count(*)
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from customers
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group by address_country
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select customer_id, subscriptions.status
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from subscriptions
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select distinct customer_id
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from subscriptions
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where subscriptions.status = 'active'
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or subscriptions.status = 'past_due'
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select address_country, count(*) as country_count
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from customers
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where id IN (
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select distinct customer_id
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from subscriptions
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where subscriptions.status = 'active'
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or subscriptions.status = 'past_due'
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)
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group by address_country
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