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

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#frozen_string_literal: true
module DiscourseAi
module AiBot
module Tools
class DiscourseMetaSearch < Tool
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: "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_meta_discourse"
end
def custom_system_message
<<~TEXT
You were trained on OLD data, lean on search to get up to date information
Discourse search joins all terms with AND. Reduce and simplify terms to find more results.
TEXT
end
end
def search_args
parameters.slice(:category, :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
url = "https://meta.discourse.org/search.json?q=#{CGI.escape(search_string)}"
json = JSON.parse(Net::HTTP.get(URI(url)))
# 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
posts = json["posts"] || []
posts = posts[0..results_limit.to_i - 1]
@last_num_results = posts.length
if posts.blank?
{ args: parameters, rows: [], instruction: "nothing was found, expand your search" }
else
categories = self.class.categories
topics = (json["topics"]).map { |t| [t["id"], t] }.to_h
format_results(posts, args: parameters) do |post|
topic = topics[post["topic_id"]]
category = categories[topic["category_id"]]
category_names = +""
if category["parent_category_id"]
category_names << categories[category["parent_category_id"]]["name"] << " > "
end
category_names << category["name"]
row = {
title: topic["title"],
url: "https://meta.discourse.org/t/-/#{post["topic_id"]}/#{post["post_number"]}",
username: post["username"],
excerpt: post["blurb"],
created: post["created_at"],
category: category_names,
likes: post["like_count"],
tags: topic["tags"].join(", "),
}
row
end
end
end
protected
def self.categories
return @categories if defined?(@categories)
url = "https://meta.discourse.org/site.json"
json = JSON.parse(Net::HTTP.get(URI(url)))
@categories =
json["categories"]
.map do |c|
[c["id"], { "name" => c["name"], "parent_category_id" => c["parent_category_id"] }]
end
.to_h
end
def description_args
{
count: @last_num_results || 0,
query: @last_query || "",
url: "https://meta.discourse.org/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