discourse-data-explorer/lib/queries.rb

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class Queries
def self.default
# For each query, add id, name and description here and add sql below
queries = {
"most-common-likers": {
"id": -1,
"name": "Most Common Likers",
"description": "Which users like particular other users the most?"
},
"most-messages": {
"id": -2,
"name": "Who has been sending the most messages in the last week?",
"description": "tracking down suspicious PM activity"
},
"edited-post-spam": {
"id": -3,
"name": "Last 500 posts that were edited by TL0/TL1 users",
"description": "fighting human-driven copy-paste spam"
},
"new-topics": {
"id": -4,
"name": "New Topics by Category",
"description": "Lists all new topics ordered by category and creation_date. The query accepts a months_ago parameter. It defaults to 0 to give you the stats for the current month."
},
"active-topics": {
"id": -5,
"name": "Top 100 Active Topics",
"description": "based on the number of replies, it accepts a months_ago parameter, defaults to 1 to give results for the last calendar month."
},
"top-likers": {
"id": -6,
"name": "Top 100 Likers",
"description": "returns the top 100 likers for a given monthly period ordered by like_count. It accepts a months_ago parameter, defaults to 1 to give results for the last calendar month."
},
"quality-users": {
"id": -7,
"name": "Top 50 Quality Users",
"description": "based on post score calculated using reply count, likes, incoming links, bookmarks, time spent and read count."
},
"user-participation": {
"id": -8,
"name": "User Participation Statistics",
"description": "Detailed statistics for the most active users"
}
}.with_indifferent_access
queries["most-common-likers"]["sql"] = <<~SQL
WITH pairs AS (
SELECT p.user_id liked, pa.user_id liker
FROM post_actions pa
LEFT JOIN posts p ON p.id = pa.post_id
WHERE post_action_type_id = 2
)
SELECT liker liker_user_id, liked liked_user_id, count(*)
FROM pairs
GROUP BY liked, liker
ORDER BY count DESC
SQL
queries["most-messages"]["sql"] = <<~SQL
SELECT user_id, count(*) AS message_count
FROM topics
WHERE archetype = 'private_message' AND subtype = 'user_to_user'
AND age(created_at) < interval '7 days'
GROUP BY user_id
ORDER BY message_count DESC
SQL
queries["edited-post-spam"]["sql"] = <<~SQL
SELECT
p.id AS post_id,
topic_id
FROM posts p
JOIN users u
ON u.id = p.user_id
JOIN topics t
ON t.id = p.topic_id
WHERE p.last_editor_id = p.user_id
AND p.self_edits > 0
AND (u.trust_level = 0 OR u.trust_level = 1)
AND p.deleted_at IS NULL
AND t.deleted_at IS NULL
AND t.archetype = 'regular'
ORDER BY p.updated_at DESC
LIMIT 500
SQL
queries["new-topics"]["sql"] = <<~SQL
-- [params]
-- int :months_ago = 1
WITH query_period as (
SELECT
date_trunc('month', CURRENT_DATE) - INTERVAL ':months_ago months' as period_start,
date_trunc('month', CURRENT_DATE) - INTERVAL ':months_ago months' + INTERVAL '1 month' - INTERVAL '1 second' as period_end
)
SELECT
t.id as topic_id,
t.category_id
FROM topics t
RIGHT JOIN query_period qp
ON t.created_at >= qp.period_start
AND t.created_at <= qp.period_end
WHERE t.user_id > 0
AND t.category_id IS NOT NULL
ORDER BY t.category_id, t.created_at DESC
SQL
queries["active-topics"]["sql"] = <<~SQL
-- [params]
-- int :months_ago = 1
WITH query_period AS
(SELECT date_trunc('month', CURRENT_DATE) - INTERVAL ':months_ago months' AS period_start,
date_trunc('month', CURRENT_DATE) - INTERVAL ':months_ago months' + INTERVAL '1 month' - INTERVAL '1 second' AS period_end)
SELECT t.id AS topic_id,
t.category_id,
COUNT(p.id) AS reply_count
FROM topics t
JOIN posts p ON t.id = p.topic_id
JOIN query_period qp ON p.created_at >= qp.period_start
AND p.created_at <= qp.period_end
WHERE t.archetype = 'regular'
AND t.user_id > 0
GROUP BY t.id
ORDER BY COUNT(p.id) DESC, t.score DESC
LIMIT 100
SQL
queries["top-likers"]["sql"] = <<~SQL
-- [params]
-- int :months_ago = 1
WITH query_period AS (
SELECT
date_trunc('month', CURRENT_DATE) - INTERVAL ':months_ago months' as period_start,
date_trunc('month', CURRENT_DATE) - INTERVAL ':months_ago months' + INTERVAL '1 month' - INTERVAL '1 second' as period_end
)
SELECT
ua.user_id,
count(1) AS like_count
FROM user_actions ua
INNER JOIN query_period qp
ON ua.created_at >= qp.period_start
AND ua.created_at <= qp.period_end
WHERE ua.action_type = 1
GROUP BY ua.user_id
ORDER BY like_count DESC
LIMIT 100
SQL
queries["quality-users"]["sql"] = <<~SQL
SELECT sum(p.score) / count(p) AS "average score per post",
count(p.id) AS post_count,
p.user_id
FROM posts p
JOIN users u ON u.id = p.user_id
WHERE p.created_at >= CURRENT_DATE - INTERVAL '6 month'
AND NOT u.admin
AND u.active
GROUP BY user_id,
u.views
HAVING count(p.id) > 50
ORDER BY sum(p.score) / count(p) DESC
LIMIT 20
SQL
queries["user-participation"]["sql"] = <<~SQL
-- [params]
-- int :from_days_ago = 0
-- int :duration_days = 30
WITH t AS (
SELECT CURRENT_TIMESTAMP - ((:from_days_ago + :duration_days) * (INTERVAL '1 days')) AS START,
CURRENT_TIMESTAMP - (:from_days_ago * (INTERVAL '1 days')) AS END
),
pr AS (
SELECT user_id, COUNT(1) AS visits,
SUM(posts_read) AS posts_read
FROM user_visits, t
WHERE posts_read > 0
AND visited_at > t.START
AND visited_at < t.
END
GROUP BY
user_id
),
pc AS (
SELECT user_id, COUNT(1) AS posts_created
FROM posts, t
WHERE
created_at > t.START
AND created_at < t.
END
GROUP BY
user_id
),
ttopics AS (
SELECT user_id, posts_count
FROM topics, t
WHERE created_at > t.START
AND created_at < t.
END
),
tc AS (
SELECT user_id, COUNT(1) AS topics_created
FROM ttopics
GROUP BY user_id
),
twr AS (
SELECT user_id, COUNT(1) AS topics_with_replies
FROM ttopics
WHERE posts_count > 1
GROUP BY user_id
),
tv AS (
SELECT user_id,
COUNT(DISTINCT(topic_id)) AS topics_viewed
FROM topic_views, t
WHERE viewed_at > t.START
AND viewed_at < t.
END
GROUP BY user_id
),
likes AS (
SELECT post_actions.user_id AS given_by_user_id,
posts.user_id AS received_by_user_id
FROM t,
post_actions
LEFT JOIN
posts
ON post_actions.post_id = posts.id
WHERE
post_actions.created_at > t.START
AND post_actions.created_at < t.
END
AND post_action_type_id = 2
),
lg AS (
SELECT given_by_user_id AS user_id,
COUNT(1) AS likes_given
FROM likes
GROUP BY user_id
),
lr AS (
SELECT received_by_user_id AS user_id,
COUNT(1) AS likes_received
FROM likes
GROUP BY user_id
),
e AS (
SELECT email, user_id
FROM user_emails u
WHERE u.PRIMARY = TRUE
)
SELECT
pr.user_id,
username,
name,
email,
visits,
COALESCE(topics_viewed, 0) AS topics_viewed,
COALESCE(posts_read, 0) AS posts_read,
COALESCE(posts_created, 0) AS posts_created,
COALESCE(topics_created, 0) AS topics_created,
COALESCE(topics_with_replies, 0) AS topics_with_replies,
COALESCE(likes_given, 0) AS likes_given,
COALESCE(likes_received, 0) AS likes_received
FROM pr
LEFT JOIN tv USING (user_id)
LEFT JOIN pc USING (user_id)
LEFT JOIN tc USING (user_id)
LEFT JOIN twr USING (user_id)
LEFT JOIN lg USING (user_id)
LEFT JOIN lr USING (user_id)
LEFT JOIN e USING (user_id)
LEFT JOIN users ON pr.user_id = users.id
ORDER BY
visits DESC,
posts_read DESC,
posts_created DESC
SQL
# convert query ids from "mostcommonlikers" to "-1", "mostmessages" to "-2" etc.
queries.transform_keys!.with_index { |key, idx| "-#{idx + 1}" }
queries
end
end