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This is somewhat experimental, but the context of likes/view/username can help the llm find out what content is more important or even common users that produce great content This inflates the amount of tokens somewhat, but given it is all numbers and search columns titles are only included once this is not severe
233 lines
6.8 KiB
Ruby
233 lines
6.8 KiB
Ruby
#frozen_string_literal: true
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module DiscourseAi::AiBot::Commands
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class SearchCommand < Command
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class << self
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def name
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"search"
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end
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def desc
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"Will search topics in the current discourse instance, when rendering always prefer to link to the topics you find"
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end
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def options
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[option(:base_query, type: :string), option(:max_results, type: :integer)]
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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: "search_query",
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description:
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"Specific keywords to search for, space seperated (correct bad spelling, remove connector words)",
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type: "string",
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),
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Parameter.new(
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name: "user",
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description:
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"Filter search results to this username (only include if user explicitly asks to filter by user)",
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type: "string",
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),
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Parameter.new(
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name: "order",
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description: "search result order",
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type: "string",
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enum: %w[latest latest_topic oldest views likes],
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),
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Parameter.new(
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name: "limit",
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description:
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"Number of results to return. Defaults to maximum number of results. Only set if absolutely necessary",
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type: "integer",
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),
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Parameter.new(
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name: "max_posts",
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description:
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"maximum number of posts on the topics (topics where lots of people posted)",
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type: "integer",
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),
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Parameter.new(
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name: "tags",
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description:
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"list of tags to search for. Use + to join with OR, use , to join with AND",
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type: "string",
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),
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Parameter.new(
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name: "category",
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description: "category name to filter to",
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type: "string",
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),
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Parameter.new(
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name: "before",
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description: "only topics created before a specific date YYYY-MM-DD",
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type: "string",
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),
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Parameter.new(
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name: "after",
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description: "only topics created after a specific date YYYY-MM-DD",
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type: "string",
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),
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Parameter.new(
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name: "status",
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description: "search for topics in a particular state",
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type: "string",
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enum: %w[open closed archived noreplies single_user],
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),
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]
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end
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def custom_system_message
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<<~TEXT
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You were trained on OLD data, lean on search to get up to date information about this forum
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When searching try to SIMPLIFY search terms
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Discourse search joins all terms with AND. Reduce and simplify terms to find more results.
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TEXT
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end
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end
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def result_name
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"results"
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end
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def description_args
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{
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count: @last_num_results || 0,
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query: @last_query || "",
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url: "#{Discourse.base_path}/search?q=#{CGI.escape(@last_query || "")}",
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}
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end
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MIN_SEMANTIC_RESULTS = 5
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def max_semantic_results
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max_results / 4
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end
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def max_results
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return 20 if !bot
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max_results = persona_options[:max_results].to_i
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return [max_results, 100].min if max_results > 0
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if bot.prompt_limit(allow_commands: false) > 30_000
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60
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elsif bot.prompt_limit(allow_commands: false) > 10_000
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40
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else
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20
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end
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end
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def process(**search_args)
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limit = nil
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search_string =
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search_args
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.map do |key, value|
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if key == :search_query
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value
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elsif key == :limit
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limit = value.to_i
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nil
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else
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"#{key}:#{value}"
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end
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end
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.compact
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.join(" ")
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@last_query = search_string
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show_progress(I18n.t("discourse_ai.ai_bot.searching", query: search_string))
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if persona_options[:base_query].present?
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search_string = "#{search_string} #{persona_options[:base_query]}"
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end
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results =
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Search.execute(
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search_string.to_s + " status:public",
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search_type: :full_page,
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guardian: Guardian.new(),
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)
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# let's be frugal with tokens, 50 results is too much and stuff gets cut off
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limit ||= max_results
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limit = max_results if limit > max_results
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should_try_semantic_search = SiteSetting.ai_embeddings_semantic_search_enabled
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should_try_semantic_search &&= (limit == max_results)
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should_try_semantic_search &&= (search_args[:search_query].present?)
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limit = limit - max_semantic_results if should_try_semantic_search
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posts = results&.posts || []
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posts = posts[0..limit - 1]
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if should_try_semantic_search
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semantic_search = DiscourseAi::Embeddings::SemanticSearch.new(Guardian.new())
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topic_ids = Set.new(posts.map(&:topic_id))
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search = Search.new(search_string, guardian: Guardian.new)
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results = nil
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begin
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results = semantic_search.search_for_topics(search.term)
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rescue => e
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Discourse.warn_exception(e, message: "Semantic search failed")
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end
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if results
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results = search.apply_filters(results)
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results.each do |post|
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next if topic_ids.include?(post.topic_id)
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topic_ids << post.topic_id
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posts << post
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break if posts.length >= max_results
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end
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end
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end
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@last_num_results = posts.length
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# this is the general pattern from core
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# if there are millions of hidden tags it may fail
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hidden_tags = nil
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if posts.blank?
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{ args: search_args, rows: [], instruction: "nothing was found, expand your search" }
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else
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format_results(posts, args: search_args) do |post|
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category_names = [
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post.topic.category&.parent_category&.name,
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post.topic.category&.name,
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].compact.join(" > ")
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row = {
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title: post.topic.title,
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url: Discourse.base_path + post.url,
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username: post.user&.username,
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excerpt: post.excerpt,
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created: post.created_at,
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category: category_names,
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likes: post.like_count,
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topic_views: post.topic.views,
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topic_likes: post.topic.like_count,
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topic_replies: post.topic.posts_count - 1,
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}
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if SiteSetting.tagging_enabled
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hidden_tags ||= DiscourseTagging.hidden_tag_names
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# using map over pluck to avoid n+1 (assuming caller preloading)
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tags = post.topic.tags.map(&:name) - hidden_tags
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row[:tags] = tags.join(", ") if tags.present?
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end
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row
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end
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end
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end
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end
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end
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