discourse-data-explorer/lib/queries.rb

554 lines
17 KiB
Ruby
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# 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": {
"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,
"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"
},
"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."
},
"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 a.assigned_to_id user_id, a.topic_id
FROM assignments a
JOIN topics t on t.id = a.topic_id
JOIN users u on u.id = a.assigned_to_id
WHERE a.assigned_to_type = 'User'
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
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
)
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 a.assigned_to_id AS user_id,
count(*)::varchar || ',/u/' || username_lower || '/activity/assigned' assigned_url
FROM assignments a
JOIN topics t on t.id = a.topic_id
JOIN users u on u.id = a.assigned_to_id
WHERE a.assigned_to_type = 'User'
AND t.deleted_at IS NULL
GROUP BY a.assigned_to_id, username_lower
ORDER BY count(*) DESC, username_lower
SQL
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
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
WHERE
polls.name = :poll_name AND
polls.post_id = :post_id
SQL
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