discourse-ai/lib/ai_bot/tools/search.rb

224 lines
7.4 KiB
Ruby

#frozen_string_literal: true
module DiscourseAi
module AiBot
module Tools
class Search < Tool
MIN_SEMANTIC_RESULTS = 5
class << self
def signature
{
name: name,
description:
"Will search topics in the current discourse instance, when rendering always prefer to link to the topics you find",
parameters: [
{
name: "search_query",
description:
"Specific keywords to search for, space separated (correct bad spelling, remove connector words)",
type: "string",
},
{
name: "user",
description:
"Filter search results to this username (only include if user explicitly asks to filter by user)",
type: "string",
},
{
name: "order",
description: "search result order",
type: "string",
enum: %w[latest latest_topic oldest views likes],
},
{
name: "limit",
description:
"limit number of results returned (generally prefer to just keep to default)",
type: "integer",
},
{
name: "max_posts",
description:
"maximum number of posts on the topics (topics where lots of people posted)",
type: "integer",
},
{
name: "tags",
description:
"list of tags to search for. Use + to join with OR, use , to join with AND",
type: "string",
},
{ name: "category", description: "category name to filter to", type: "string" },
{
name: "before",
description: "only topics created before a specific date YYYY-MM-DD",
type: "string",
},
{
name: "after",
description: "only topics created after a specific date YYYY-MM-DD",
type: "string",
},
{
name: "status",
description: "search for topics in a particular state",
type: "string",
enum: %w[open closed archived noreplies single_user],
},
],
}
end
def name
"search"
end
def custom_system_message
<<~TEXT
You were trained on OLD data, lean on search to get up to date information about this forum
When searching try to SIMPLIFY search terms
Discourse search joins all terms with AND. Reduce and simplify terms to find more results.
TEXT
end
def accepted_options
[option(:base_query, type: :string), option(:max_results, type: :integer)]
end
end
def search_args
parameters.slice(:user, :order, :max_posts, :tags, :before, :after, :status)
end
def invoke(bot_user, llm)
search_string =
search_args.reduce(+parameters[:search_query].to_s) do |memo, (key, value)|
return memo if value.blank?
memo << " " << "#{key}:#{value}"
end
@last_query = search_string
yield(I18n.t("discourse_ai.ai_bot.searching", query: search_string))
if options[:base_query].present?
search_string = "#{search_string} #{options[:base_query]}"
end
results =
::Search.execute(
search_string.to_s + " status:public",
search_type: :full_page,
guardian: Guardian.new(),
)
# let's be frugal with tokens, 50 results is too much and stuff gets cut off
max_results = calculate_max_results(llm)
results_limit = parameters[:limit] || max_results
results_limit = max_results if parameters[:limit].to_i > max_results
should_try_semantic_search =
SiteSetting.ai_embeddings_semantic_search_enabled && results_limit == max_results &&
parameters[:search_query].present?
max_semantic_results = max_results / 4
results_limit = results_limit - max_semantic_results if should_try_semantic_search
posts = results&.posts || []
posts = posts[0..results_limit.to_i - 1]
if should_try_semantic_search
semantic_search = DiscourseAi::Embeddings::SemanticSearch.new(Guardian.new())
topic_ids = Set.new(posts.map(&:topic_id))
search = ::Search.new(search_string, guardian: Guardian.new)
results = nil
begin
results = semantic_search.search_for_topics(search.term)
rescue => e
Discourse.warn_exception(e, message: "Semantic search failed")
end
if results
results = search.apply_filters(results)
results.each do |post|
next if topic_ids.include?(post.topic_id)
topic_ids << post.topic_id
posts << post
break if posts.length >= max_results
end
end
end
@last_num_results = posts.length
# this is the general pattern from core
# if there are millions of hidden tags it may fail
hidden_tags = nil
if posts.blank?
{ args: parameters, rows: [], instruction: "nothing was found, expand your search" }
else
format_results(posts, args: parameters) do |post|
category_names = [
post.topic.category&.parent_category&.name,
post.topic.category&.name,
].compact.join(" > ")
row = {
title: post.topic.title,
url: Discourse.base_path + post.url,
username: post.user&.username,
excerpt: post.excerpt,
created: post.created_at,
category: category_names,
likes: post.like_count,
topic_views: post.topic.views,
topic_likes: post.topic.like_count,
topic_replies: post.topic.posts_count - 1,
}
if SiteSetting.tagging_enabled
hidden_tags ||= DiscourseTagging.hidden_tag_names
# using map over pluck to avoid n+1 (assuming caller preloading)
tags = post.topic.tags.map(&:name) - hidden_tags
row[:tags] = tags.join(", ") if tags.present?
end
row
end
end
end
protected
def description_args
{
count: @last_num_results || 0,
query: @last_query || "",
url: "#{Discourse.base_path}/search?q=#{CGI.escape(@last_query || "")}",
}
end
private
def calculate_max_results(llm)
max_results = options[:max_results].to_i
return [max_results, 100].min if max_results > 0
if llm.max_prompt_tokens > 30_000
60
elsif llm.max_prompt_tokens > 10_000
40
else
20
end
end
end
end
end
end