UX: Use stacked line chart for post sentiment (#737)
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Keegan George
GitHub
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@ -1,8 +1,4 @@
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.dashboard.dashboard-sentiment {
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.navigation-item.sentiment {
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border-bottom: 0.4em solid var(--tertiary);
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}
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.charts {
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display: grid;
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grid-template-columns: repeat(12, 1fr);
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@ -1,8 +1,8 @@
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.dashboard.dashboard-sentiment .charts {
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.overall-sentiment {
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grid-column: span 8;
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grid-column: span 6;
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}
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.post-emotion {
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grid-column: span 4;
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grid-column: span 6;
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}
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}
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@ -295,15 +295,13 @@ en:
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positive: "Positive"
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negative: "Negative"
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post_emotion:
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tl_01: "Trust levels 0-1"
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tl_234: "Trust levels 2+"
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sadness: "Sadness"
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surprise: "Surprise"
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neutral: "Neutral"
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fear: "Fear"
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anger: "Anger"
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joy: "Joy"
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disgust: "Disgust"
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sadness: "Sadness 😢"
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surprise: "Surprise 😱"
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neutral: "Neutral 😐"
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fear: "Fear 😨"
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anger: "Anger 😡"
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joy: "Joy 😀"
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disgust: "Disgust 🤢"
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llm:
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configuration:
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@ -67,7 +67,7 @@ module DiscourseAi
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end
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plugin.add_report("post_emotion") do |report|
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report.modes = [:radar]
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report.modes = [:stacked_line_chart]
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threshold = 30
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emotion_count_clause = Proc.new { |emotion| <<~SQL }
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@ -80,7 +80,7 @@ module DiscourseAi
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DB.query(
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<<~SQL,
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SELECT
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u.trust_level AS trust_level,
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DATE_TRUNC('day', p.created_at)::DATE AS posted_at,
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#{emotion_count_clause.call("sadness")},
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#{emotion_count_clause.call("surprise")},
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#{emotion_count_clause.call("fear")},
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@ -98,7 +98,7 @@ module DiscourseAi
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p.user_id > 0 AND
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cr.model_used = 'emotion' AND
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(p.created_at > :report_start AND p.created_at < :report_end)
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GROUP BY u.trust_level
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GROUP BY DATE_TRUNC('day', p.created_at)
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SQL
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report_start: report.start_date,
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report_end: report.end_date,
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@ -107,27 +107,24 @@ module DiscourseAi
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return report if grouped_emotions.empty?
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emotions = %w[sadness disgust fear anger joy surprise]
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level_groups = [[0, 1], [2, 3, 4]]
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emotions = [
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{ name: "sadness", color: report.colors[:turquoise] },
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{ name: "disgust", color: report.colors[:lime] },
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{ name: "fear", color: report.colors[:purple] },
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{ name: "anger", color: report.colors[:magenta] },
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{ name: "joy", color: report.colors[:yellow] },
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{ name: "surprise", color: report.colors[:brown] },
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]
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report.data =
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level_groups.each_with_index.map do |lg, idx|
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color = idx == 0 ? :turquoise : :lime
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tl_emotion_avgs = grouped_emotions.select { |ge| lg.include?(ge.trust_level) }
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emotions.map do |emotion|
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{
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req: "emotion_tl_#{lg.join}",
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color: report.colors[color],
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label: I18n.t("discourse_ai.sentiment.reports.post_emotion.tl_#{lg.join}"),
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req: "emotion_#{emotion[:name]}",
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color: emotion[:color],
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label: I18n.t("discourse_ai.sentiment.reports.post_emotion.#{emotion[:name]}"),
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data:
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emotions.map do |e|
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{
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x: I18n.t("discourse_ai.sentiment.reports.post_emotion.#{e}"),
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y:
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tl_emotion_avgs.sum do |tl_emotion_avg|
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tl_emotion_avg.public_send("#{e}_count").to_i
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end,
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}
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grouped_emotions.map do |ge|
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{ x: ge.posted_at, y: ge.public_send("#{emotion[:name]}_count") }
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end,
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}
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end
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@ -100,10 +100,12 @@ RSpec.describe DiscourseAi::Sentiment::EntryPoint do
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)
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end
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def strip_emoji_and_downcase(str)
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stripped_str = str.gsub(/[^\p{L}\p{N}]+/, "") # remove any non-alphanumeric characters
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stripped_str.downcase
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end
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it "calculate averages using only public posts" do
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post_1.user.update!(trust_level: TrustLevel[0])
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post_2.user.update!(trust_level: TrustLevel[3])
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pm.user.update!(trust_level: TrustLevel[0])
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threshold = 30
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emotion_classification(post_1, emotion_1)
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@ -111,31 +113,16 @@ RSpec.describe DiscourseAi::Sentiment::EntryPoint do
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emotion_classification(pm, emotion_2)
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report = Report.find("post_emotion")
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tl_01_point = report.data[0][:data]
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tl_234_point = report.data[1][:data]
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tl_01_point.each do |point|
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expected = emotion_1[point[:x].downcase.to_sym] > threshold ? 1 : 0
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expect(point[:y]).to eq(expected)
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end
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data_point = report.data
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tl_234_point.each do |point|
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expected = emotion_2[point[:x].downcase.to_sym] > threshold ? 1 : 0
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expect(point[:y]).to eq(expected)
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end
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end
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it "doesn't try to divide by zero if there are no data in a TL group" do
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post_1.user.update!(trust_level: TrustLevel[3])
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post_2.user.update!(trust_level: TrustLevel[3])
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emotion_classification(post_1, emotion_1)
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emotion_classification(post_2, emotion_2)
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report = Report.find("post_emotion")
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tl_01_point = report.data[0][:data].first
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expect(tl_01_point[:y]).to be_zero
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data_point.each do |point|
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emotion = strip_emoji_and_downcase(point[:label])
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expected =
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(emotion_1[emotion.to_sym] > threshold ? 1 : 0) +
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(emotion_2[emotion.to_sym] > threshold ? 1 : 0)
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expect(point[:data][0][:y]).to eq(expected)
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end
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end
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end
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end
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