185 lines
4.7 KiB
Ruby
185 lines
4.7 KiB
Ruby
#frozen_string_literal: true
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module DiscourseAi::AiBot::Commands
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class SummarizeCommand < Command
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class << self
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def name
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"summarize"
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end
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def desc
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"Will summarize a topic attempting to answer question in guidance"
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end
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def parameters
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[
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Parameter.new(
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name: "topic_id",
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description: "The discourse topic id to summarize",
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type: "integer",
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required: true,
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),
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Parameter.new(
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name: "guidance",
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description: "Special guidance on how to summarize the topic",
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type: "string",
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),
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]
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end
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end
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def result_name
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"summary"
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end
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def standalone?
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true
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end
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def low_cost?
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true
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end
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def description_args
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{ url: "#{Discourse.base_path}/t/-/#{@last_topic_id}", title: @last_topic_title || "" }
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end
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def process(topic_id:, guidance: nil)
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@last_topic_id = topic_id
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topic_id = topic_id.to_i
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topic = nil
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if topic_id > 0
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topic = Topic.find_by(id: topic_id)
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topic = nil if !topic || !Guardian.new.can_see?(topic)
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end
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@last_summary = nil
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if topic
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@last_topic_title = topic.title
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posts =
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Post
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.where(topic_id: topic.id)
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.where("post_type in (?)", [Post.types[:regular], Post.types[:small_action]])
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.where("not hidden")
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.order(:post_number)
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columns = ["posts.id", :post_number, :raw, :username]
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current_post_numbers = posts.limit(5).pluck(:post_number)
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current_post_numbers += posts.reorder("posts.score desc").limit(50).pluck(:post_number)
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current_post_numbers += posts.reorder("post_number desc").limit(5).pluck(:post_number)
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data =
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Post
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.where(topic_id: topic.id)
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.joins(:user)
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.where("post_number in (?)", current_post_numbers)
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.order(:post_number)
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.pluck(*columns)
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@last_summary = summarize(data, guidance, topic)
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end
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if !@last_summary
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"Say: No topic found!"
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else
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"Topic summarized"
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end
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end
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def custom_raw
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@last_summary || I18n.t("discourse_ai.ai_bot.topic_not_found")
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end
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def chain_next_response
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false
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end
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def summarize(data, guidance, topic)
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text = +""
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data.each do |id, post_number, raw, username|
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text << "(#{post_number} #{username} said: #{raw}"
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end
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summaries = []
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current_section = +""
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split = []
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text
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.split(/\s+/)
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.each_slice(20) do |slice|
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current_section << " "
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current_section << slice.join(" ")
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# somehow any more will get closer to limits
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if bot.tokenize(current_section).length > 2500
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split << current_section
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current_section = +""
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end
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end
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split << current_section if current_section.present?
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split = split[0..3] + split[-3..-1] if split.length > 5
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split.each do |section|
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# TODO progress meter
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summary =
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generate_gpt_summary(
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section,
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topic: topic,
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context: "Guidance: #{guidance}\nYou are summarizing the topic: #{topic.title}",
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)
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summaries << summary
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end
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if summaries.length > 1
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messages = []
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messages << { role: "system", content: "You are a helpful bot" }
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messages << {
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role: "user",
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content:
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"concatenated the disjoint summaries, creating a cohesive narrative:\n#{summaries.join("\n")}}",
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}
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bot.submit_prompt(messages, temperature: 0.6, max_tokens: 500, prefer_low_cost: true).dig(
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:choices,
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0,
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:message,
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:content,
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)
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else
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summaries.first
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end
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end
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def generate_gpt_summary(text, topic:, context: nil, length: nil)
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length ||= 400
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prompt = <<~TEXT
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#{context}
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Summarize the following in #{length} words:
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#{text}
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TEXT
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system_prompt = <<~TEXT
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You are a summarization bot.
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You effectively summarise any text.
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You condense it into a shorter version.
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You understand and generate Discourse forum markdown.
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Try generating links as well the format is #{topic.url}/POST_NUMBER. eg: [ref](#{topic.url}/77)
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TEXT
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messages = [{ role: "system", content: system_prompt }]
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messages << { role: "user", content: prompt }
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result =
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bot.submit_prompt(messages, temperature: 0.6, max_tokens: length, prefer_low_cost: true)
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result.dig(:choices, 0, :message, :content)
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end
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end
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end
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