discourse-data-explorer/lib/queries.rb

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# frozen_string_literal: true
class Queries
def self.default
# WARNING: Edit the query hash carefully
# For each query, add id, name and description here and add sql below
# Feel free to add new queries at the bottom of the hash in numerical order
# If any query has been run on an instance, it is then saved in the local db
# Locally stored queries are updated from the below data only when they are run again
# eg. If you update a query with id=-1 in this file and the query has been run on a site,
# you must run the query with id=-1 on the site again to update these changes in the site db
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."
},
"largest-uploads": {
"id": -9,
"name": "Top 50 Largest Uploads",
"description": "sorted by file size."
},
"inactive-users": {
"id": -10,
"name": "Inactive Users with no posts",
"description": "analyze pre-Discourse signups."
},
"active-lurkers": {
"id": -11,
"name": "Most Active Lurkers",
"description": "active users without posts and excessive read times, it accepts a post_read_count parameter that sets the threshold for posts read."
},
"topic-user-notification-level": {
"id": -12,
"name": "List of topics a user is watching/tracking/muted",
"description": "The query requires a notification_level parameter. Use 0 for muted, 1 for regular, 2 for tracked and 3 for watched topics."
},
"assigned-topics-report": {
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"id": -13,
"name": "List of assigned topics by user",
"description": "This report requires the assign plugin, it will find all assigned topics"
},
"group-members-reply-count": {
"id": -14,
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"name": "Group Members Reply Count",
"description": "Number of replies by members of a group over a given time period. Requires 'group_name', 'start_date', and 'end_date' parameters. Dates need to be in the form 'yyyy-mm-dd'. Accepts an 'include_pms' parameter."
},
"total-assigned-topics-report": {
"id": -15,
"name": "Total topics assigned per user",
"description": "Count of assigned topis per user linking to assign list"
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},
"poll-results": {
"id": -16,
"name": "Poll results report",
"description": "Details of a poll result, including details about each vote and voter, useful for analyzing results in external software."
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},
"top-tags-per-year": {
"id": -17,
"name": "Top tags per year",
"description": "List the top tags per year."
},
"number_of_replies_by_category": {
"id": -18,
"name": "Number of replies by category",
"description": "List the number of replies by category."
}
}.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 50
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
queries["largest-uploads"]["sql"] = <<~SQL
SELECT posts.id AS post_id,
uploads.original_filename,
ROUND(uploads.filesize / 1000000.0, 2) AS size_in_mb,
uploads.extension,
uploads.created_at,
uploads.url
FROM post_uploads
JOIN uploads ON uploads.id = post_uploads.upload_id
JOIN posts ON posts.id = post_uploads.post_id
ORDER BY uploads.filesize DESC
LIMIT 50
SQL
queries["inactive-users"]["sql"] = <<~SQL
SELECT
u.id,
u.username_lower AS "username",
u.created_at,
u.last_seen_at
FROM users u
WHERE u.active = false
ORDER BY u.id
SQL
queries["active-lurkers"]["sql"] = <<~SQL
-- [params]
-- int :post_read_count = 100
WITH posts_by_user AS (
SELECT COUNT(*) AS posts, user_id
FROM posts
GROUP BY user_id
), posts_read_by_user AS (
SELECT SUM(posts_read) AS posts_read, user_id
FROM user_visits
GROUP BY user_id
)
SELECT
u.id,
u.username_lower AS "username",
u.created_at,
u.last_seen_at,
COALESCE(pbu.posts, 0) AS "posts_created",
COALESCE(prbu.posts_read, 0) AS "posts_read"
FROM users u
LEFT JOIN posts_by_user pbu ON pbu.user_id = u.id
LEFT JOIN posts_read_by_user prbu ON prbu.user_id = u.id
WHERE u.active = true
AND posts IS NULL
AND posts_read > :post_read_count
ORDER BY u.id
SQL
queries["topic-user-notification-level"]["sql"] = <<~SQL
-- [params]
-- null int :user
-- null int :notification_level
SELECT t.category_id AS category_id, t.id AS topic_id, tu.last_visited_at AS topic_last_visited_at
FROM topics t
JOIN topic_users tu ON tu.topic_id = t.id AND tu.user_id = :user AND tu.notification_level = :notification_level
ORDER BY tu.last_visited_at DESC
SQL
queries["assigned-topics-report"]["sql"] = <<~SQL
SELECT value::int user_id, topic_id
FROM topic_custom_fields tf
JOIN topics t on t.id = topic_id
JOIN users u on u.id = value::int
WHERE tf.name = 'assigned_to_id'
AND t.deleted_at IS NULL
ORDER BY username, topic_id
SQL
queries["group-members-reply-count"]["sql"] = <<~SQL
-- [params]
-- date :start_date
-- date :end_date
-- string :group_name
-- boolean :include_pms = false
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WITH target_users AS (
SELECT
u.id AS user_id
FROM users u
JOIN group_users gu
ON gu.user_id = u.id
JOIN groups g
ON g.id = gu.group_id
WHERE g.name = :group_name
AND gu.created_at::date <= :end_date
),
target_posts AS (
SELECT
p.id,
p.user_id
FROM posts p
JOIN topics t
ON t.id = p.topic_id
WHERE CASE WHEN :include_pms THEN true ELSE t.archetype = 'regular' END
AND t.deleted_at IS NULL
AND p.deleted_at IS NULL
AND p.created_at::date >= :start_date
AND p.created_at::date <= :end_date
AND p.post_number > 1
)
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SELECT
tu.user_id,
COALESCE(COUNT(tp.id), 0) AS reply_count
FROM target_users tu
LEFT OUTER JOIN target_posts tp
ON tp.user_id = tu.user_id
GROUP BY tu.user_id
ORDER BY reply_count DESC, tu.user_id
SQL
queries["total-assigned-topics-report"]["sql"] = <<~SQL
SELECT value::int user_id,
count(*)::varchar || ',/u/' || username_lower || '/activity/assigned' assigned_url
FROM topic_custom_fields tf
JOIN topics t on t.id = topic_id
JOIN users u on u.id = value::int
WHERE tf.name = 'assigned_to_id'
AND t.deleted_at IS NULL
GROUP BY value::int, username_lower
ORDER BY count(*) DESC, username_lower
SQL
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queries["poll-results"]["sql"] = <<~SQL
-- [params]
-- string :poll_name
-- int :post_id
SELECT
poll_votes.updated_at AS vote_time,
poll_votes.poll_option_id AS vote_option,
users.id AS user_id,
users.username,
users.name,
users.trust_level,
poll_options.html AS vote_option_full
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FROM
poll_votes
INNER JOIN
polls ON polls.id = poll_votes.poll_id
INNER JOIN
users ON users.id = poll_votes.user_id
INNER JOIN
poll_options ON poll_votes.poll_id = poll_options.poll_id AND poll_votes.poll_option_id = poll_options.id
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WHERE
polls.name = :poll_name AND
polls.post_id = :post_id
SQL
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queries["top-tags-per-year"]["sql"] = <<~SQL
-- [params]
-- integer :rank_max = 5
WITH data AS (SELECT
tag_id,
EXTRACT(YEAR FROM created_at) AS year
FROM topic_tags)
SELECT year, rank, name, qt FROM (
SELECT
tag_id,
COUNT(tag_id) AS qt,
year,
rank() OVER (PARTITION BY year ORDER BY COUNT(tag_id) DESC) AS rank
FROM
data
GROUP BY year, tag_id) as rnk
INNER JOIN tags ON tags.id = rnk.tag_id
WHERE rank <= :rank_max
ORDER BY year DESC, qt DESC
SQL
queries["number_of_replies_by_category"]["sql"] = <<~SQL
-- [params]
-- boolean :enable_null_category = false
WITH post AS (SELECT
id AS post_id,
topic_id,
EXTRACT(YEAR FROM created_at) AS year
FROM posts
WHERE post_type = 1
AND deleted_at ISNULL
AND post_number != 1)
SELECT
p.year,
t.category_id AS id,
c.name category,
COUNT(p.post_id) AS qt
FROM post p
INNER JOIN topics t ON t.id = p.topic_id
LEFT JOIN categories c ON c.id = t.category_id
WHERE t.deleted_at ISNULL
AND (:enable_null_category = true OR t.category_id NOTNULL)
GROUP BY t.category_id, c.name, p.year
ORDER BY p.year DESC, qt 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