discourse-ai/lib/sentiment/emotion_dashboard_report.rb

48 lines
1.7 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Sentiment
class EmotionDashboardReport
def self.register!(plugin)
Emotions::LIST.each do |emotion|
plugin.add_report("emotion_#{emotion}") do |report|
query_results = DiscourseAi::Sentiment::EmotionDashboardReport.fetch_data
report.data = query_results.pop(30).map { |row| { x: row.day, y: row.send(emotion) } }
report.prev30Days =
query_results.take(30).reduce(0) { |sum, row| sum + row.send(emotion) }.to_i
end
end
def self.fetch_data
DB.query(<<~SQL, end: Time.now.tomorrow.midnight, start: 60.days.ago.midnight)
SELECT
posts.created_at::DATE AS day,
#{
DiscourseAi::Sentiment::Emotions::LIST
.map do |emotion|
"COUNT(*) FILTER (WHERE (classification_results.classification::jsonb->'#{emotion}')::float > 0.1) AS #{emotion}"
end
.join(",\n ")
}
FROM
classification_results
INNER JOIN
posts ON posts.id = classification_results.target_id AND
posts.deleted_at IS NULL AND
posts.created_at BETWEEN :start AND :end
INNER JOIN
topics ON topics.id = posts.topic_id AND
topics.archetype = 'regular' AND
topics.deleted_at IS NULL
WHERE
classification_results.target_type = 'Post' AND
classification_results.model_used = 'SamLowe/roberta-base-go_emotions'
GROUP BY 1
ORDER BY 1 ASC
SQL
end
end
end
end
end