135 lines
3.0 KiB
SQL
135 lines
3.0 KiB
SQL
-- noinspection SqlDialectInspectionForFile
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-- noinspection SqlNoDataSourceInspectionForFile
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-- noinspection SqlResolveForFile
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--
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-- Usage count in the past 24 hours
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--
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select count(*) as use_count
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from tts_results
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where created_at > ( CURDATE() - INTERVAL 1 DAY )
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--
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-- Usage count in the past week
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--
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select count(*) as use_count
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from tts_results
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where created_at > ( CURDATE() - INTERVAL 7 DAY )
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-- On-prem worker mix
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select count(*) as use_count
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from tts_results
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where created_at > ( CURDATE() - INTERVAL 1 MINUTE )
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and is_generated_on_prem IS TRUE
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-- Calculate a percentage of on-prem worker capacity
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select count(*) as on_prem_count
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from (
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select is_generated_on_prem
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from tts_results
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order by id desc limit 1000
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) as sample
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where sample.is_generated_on_prem IS TRUE;
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-- Find TTS results for a single model
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select count(*) from tts_results
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where model_token = 'TM:ztt5s1be5tq6';
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-- Find TTS results for a single model that are not deleted
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select count(*) from tts_results
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where model_token = 'TM:ztt5s1be5tq6'
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and mod_deleted_at is NULL;
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-- Sample results for a single model
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select
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TRIM(REPLACE(SUBSTRING(raw_inference_text, 1, 50), '\n', ''))
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from tts_results
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where model_token='TM:yt4gfbkngsjj'
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order by id desc
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limit 150;
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-- Search for results by eminem
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select
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token,
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created_at,
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raw_inference_text
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from tts_results
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where
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model_token IN ('TM:27fj0gsh11pd', 'TM:8h9bfjgabeer', 'TM:pdf9c1anbdjq')
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AND raw_inference_text LIKE "%rave%"
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AND raw_inference_text LIKE "%sound%"
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AND created_at > ( CURDATE() - INTERVAL 5 MONTH )
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ORDER BY created_at DESC
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-- Delete TTS results for a single model
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-- Do this in short batches so a lock isn't held for prohibitively long.
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update tts_results
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set mod_deleted_at = NOW()
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where model_token = 'TM:ztt5s1be5tq6'
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and mod_deleted_at IS NULL
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limit 5000;
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--- Search for particular text by a particular model
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SELECT
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raw_inference_text,
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maybe_creator_user_token,
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created_at
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FROM
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tts_results
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WHERE
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model_token = 'TM:ztt5s1be5tq6'
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AND raw_inference_text LIKE '%fakeyou%'
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--- Search for 101soundboards.com using us
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SELECT
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r.raw_inference_text,
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r.maybe_creator_user_token,
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u.username,
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u.ip_address_creation,
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r.creator_ip_address,
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r.created_at
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FROM
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tts_results as r
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LEFT OUTER JOIN
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users as u
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ON
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r.maybe_creator_user_token = u.token
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WHERE
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r.raw_inference_text LIKE '%bananas%'
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AND r.created_at > ( CURDATE() - INTERVAL 1 HOUR )
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--- Search for 101soundboards.com using us
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SELECT
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r.maybe_creator_user_token
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FROM
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tts_results as r
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LEFT OUTER JOIN
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users as u
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ON
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r.maybe_creator_user_token = u.token
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WHERE
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r.raw_inference_text LIKE '%bananas%'
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AND r.created_at > ( CURDATE() - INTERVAL 1 HOUR )
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---
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-- WTF WHY IS THIS SLOW???
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SELECT
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res.id,
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model.title,
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res.raw_inference_text,
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res.maybe_creator_user_token
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FROM
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tts_results AS res
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JOIN
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tts_models as model
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ON
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res.model_token = model.token
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ORDER BY res.id
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LIMIT 10;
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