discourse-ai/lib/modules/ai_bot/commands/summarize_command.rb

185 lines
4.7 KiB
Ruby

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