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Author SHA1 Message Date
Keegan George e7a3a50d86 DEV: Decorate boosted and AI results 2023-11-27 11:01:14 -08:00
694 changed files with 102193 additions and 1545426 deletions
-3
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@@ -1,6 +1,3 @@
< 3.3.0.beta2-dev: 61890b667c06299841ae88946f84a112f00060e1
< 3.3.0.beta1-dev: a65c4076a63104b61d213534db7f89aa3c8acd9e
< 3.2.0.beta5-dev: c70f43f130fb98e4a1adb1afd9b621aaa49088e3
< 3.2.0.beta4-dev: 493b48477a9288f2f1b6f021954088705a6673d6
< 3.2.0.beta2-dev: 3bced1c6f525553fe2b5b79d29bd66c1cf2a47d5
3.1.999: c0415bb7eb878b1b7abf112d65cba981030df8df
+27 -57
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@@ -1,88 +1,58 @@
GEM
remote: https://rubygems.org/
specs:
activesupport (7.1.3.4)
base64
bigdecimal
concurrent-ruby (~> 1.0, >= 1.0.2)
connection_pool (>= 2.2.5)
drb
i18n (>= 1.6, < 2)
minitest (>= 5.1)
mutex_m
tzinfo (~> 2.0)
ast (2.4.2)
base64 (0.2.0)
bigdecimal (3.1.8)
concurrent-ruby (1.3.3)
connection_pool (2.4.1)
drb (2.2.1)
i18n (1.14.5)
concurrent-ruby (~> 1.0)
json (2.7.2)
json (2.6.3)
language_server-protocol (3.17.0.3)
minitest (5.24.1)
mutex_m (0.2.0)
parallel (1.25.1)
parser (3.3.3.0)
parallel (1.23.0)
parser (3.2.2.4)
ast (~> 2.4.1)
racc
prettier_print (1.2.1)
racc (1.8.0)
rack (3.1.6)
racc (1.7.2)
rainbow (3.1.1)
regexp_parser (2.9.2)
rexml (3.3.1)
strscan
rubocop (1.64.1)
regexp_parser (2.8.2)
rexml (3.2.6)
rubocop (1.57.2)
json (~> 2.3)
language_server-protocol (>= 3.17.0)
parallel (~> 1.10)
parser (>= 3.3.0.2)
parser (>= 3.2.2.4)
rainbow (>= 2.2.2, < 4.0)
regexp_parser (>= 1.8, < 3.0)
rexml (>= 3.2.5, < 4.0)
rubocop-ast (>= 1.31.1, < 2.0)
rubocop-ast (>= 1.28.1, < 2.0)
ruby-progressbar (~> 1.7)
unicode-display_width (>= 2.4.0, < 3.0)
rubocop-ast (1.31.3)
parser (>= 3.3.1.0)
rubocop-capybara (2.21.0)
rubocop-ast (1.30.0)
parser (>= 3.2.1.0)
rubocop-capybara (2.19.0)
rubocop (~> 1.41)
rubocop-discourse (3.8.1)
activesupport (>= 6.1)
rubocop (>= 1.59.0)
rubocop-capybara (>= 2.0.0)
rubocop-factory_bot (>= 2.0.0)
rubocop-rails (>= 2.25.0)
rubocop-rspec (>= 3.0.1)
rubocop-rspec_rails (>= 2.30.0)
rubocop-factory_bot (2.26.1)
rubocop (~> 1.61)
rubocop-rails (2.25.1)
activesupport (>= 4.2.0)
rack (>= 1.1)
rubocop (>= 1.33.0, < 2.0)
rubocop-ast (>= 1.31.1, < 2.0)
rubocop-rspec (3.0.2)
rubocop (~> 1.61)
rubocop-rspec_rails (2.30.0)
rubocop (~> 1.61)
rubocop-rspec (~> 3, >= 3.0.1)
rubocop-discourse (3.4.0)
rubocop (>= 1.1.0)
rubocop-rspec (>= 2.0.0)
rubocop-factory_bot (2.24.0)
rubocop (~> 1.33)
rubocop-rspec (2.25.0)
rubocop (~> 1.40)
rubocop-capybara (~> 2.17)
rubocop-factory_bot (~> 2.22)
ruby-progressbar (1.13.0)
strscan (3.1.0)
syntax_tree (6.2.0)
prettier_print (>= 1.2.0)
tzinfo (2.0.6)
concurrent-ruby (~> 1.0)
unicode-display_width (2.5.0)
PLATFORMS
arm64-darwin-20
ruby
x86_64-darwin-18
x86_64-darwin-19
x86_64-darwin-20
x86_64-linux
DEPENDENCIES
rubocop-discourse
syntax_tree
BUNDLED WITH
2.5.10
2.4.21
@@ -1,17 +0,0 @@
import DiscourseRoute from "discourse/routes/discourse";
export default DiscourseRoute.extend({
async model(params) {
const allLlms = this.modelFor("adminPlugins.show.discourse-ai-llms");
const id = parseInt(params.id, 10);
return allLlms.findBy("id", id);
},
setupController(controller, model) {
this._super(controller, model);
controller.set(
"allLlms",
this.modelFor("adminPlugins.show.discourse-ai-llms")
);
},
});
@@ -1,7 +0,0 @@
import DiscourseRoute from "discourse/routes/discourse";
export default class DiscourseAiAiLlmsRoute extends DiscourseRoute {
model() {
return this.store.findAll("ai-llm");
}
}
@@ -1,23 +0,0 @@
import { AUTO_GROUPS } from "discourse/lib/constants";
import DiscourseRoute from "discourse/routes/discourse";
export default DiscourseRoute.extend({
async model() {
const record = this.store.createRecord("ai-persona");
record.set("allowed_group_ids", [AUTO_GROUPS.trust_level_0.id]);
record.set("rag_uploads", []);
// these match the defaults on the table
record.set("rag_chunk_tokens", 374);
record.set("rag_chunk_overlap_tokens", 10);
record.set("rag_conversation_chunks", 10);
return record;
},
setupController(controller, model) {
this._super(controller, model);
controller.set(
"allPersonas",
this.modelFor("adminPlugins.show.discourse-ai-personas")
);
},
});
@@ -1,15 +0,0 @@
import DiscourseRoute from "discourse/routes/discourse";
export default class DiscourseAiToolsNewRoute extends DiscourseRoute {
async model() {
return this.store.createRecord("ai-tool");
}
setupController(controller) {
super.setupController(...arguments);
const toolsModel = this.modelFor("adminPlugins.show.discourse-ai-tools");
controller.set("allTools", toolsModel);
controller.set("presets", toolsModel.resultSetMeta.presets);
}
}
@@ -1,18 +0,0 @@
import DiscourseRoute from "discourse/routes/discourse";
export default class DiscourseAiToolsShowRoute extends DiscourseRoute {
async model(params) {
const allTools = this.modelFor("adminPlugins.show.discourse-ai-tools");
const id = parseInt(params.id, 10);
return allTools.find((tool) => tool.id === id);
}
setupController(controller) {
super.setupController(...arguments);
const toolsModel = this.modelFor("adminPlugins.show.discourse-ai-tools");
controller.set("allTools", toolsModel);
controller.set("presets", toolsModel.resultSetMeta.presets);
}
}
@@ -1,10 +0,0 @@
import { service } from "@ember/service";
import DiscourseRoute from "discourse/routes/discourse";
export default class DiscourseAiToolsRoute extends DiscourseRoute {
@service store;
model() {
return this.store.findAll("ai-tool");
}
}
@@ -1 +0,0 @@
<AiLlmsListEditor @llms={{this.model}} />
@@ -1 +0,0 @@
<AiLlmsListEditor @llms={{this.allLlms}} @currentLlm={{this.model}} />
@@ -1 +0,0 @@
<AiLlmsListEditor @llms={{this.allLlms}} @currentLlm={{this.model}} />
@@ -1 +0,0 @@
<AiToolListEditor @tools={{this.model}} />
@@ -1,5 +0,0 @@
<AiToolEditor
@tools={{this.allTools}}
@model={{this.model}}
@presets={{this.presets}}
/>
@@ -1,5 +0,0 @@
<AiToolEditor
@tools={{this.allTools}}
@model={{this.model}}
@presets={{this.presets}}
/>
@@ -1,128 +0,0 @@
# frozen_string_literal: true
module DiscourseAi
module Admin
class AiLlmsController < ::Admin::AdminController
requires_plugin ::DiscourseAi::PLUGIN_NAME
def index
llms = LlmModel.all.order(:display_name)
render json: {
ai_llms:
ActiveModel::ArraySerializer.new(
llms,
each_serializer: LlmModelSerializer,
root: false,
).as_json,
meta: {
provider_params: LlmModel.provider_params,
presets: DiscourseAi::Completions::Llm.presets,
providers: DiscourseAi::Completions::Llm.provider_names,
tokenizers:
DiscourseAi::Completions::Llm.tokenizer_names.map { |tn|
{ id: tn, name: tn.split("::").last }
},
},
}
end
def show
llm_model = LlmModel.find(params[:id])
render json: LlmModelSerializer.new(llm_model)
end
def create
llm_model = LlmModel.new(ai_llm_params)
if llm_model.save
llm_model.toggle_companion_user
render json: { ai_persona: LlmModelSerializer.new(llm_model) }, status: :created
else
render_json_error LlmModelSerializer.new(llm_model)
end
end
def update
llm_model = LlmModel.find(params[:id])
if llm_model.update(ai_llm_params(updating: llm_model))
llm_model.toggle_companion_user
render json: LlmModelSerializer.new(llm_model)
else
render_json_error LlmModelSerializer.new(llm_model)
end
end
def destroy
llm_model = LlmModel.find(params[:id])
in_use_by = DiscourseAi::Configuration::LlmValidator.new.modules_using(llm_model)
if !in_use_by.empty?
return(
render_json_error(
I18n.t(
"discourse_ai.llm.delete_failed",
settings: in_use_by.join(", "),
count: in_use_by.length,
),
status: 409,
)
)
end
# Clean up companion users
llm_model.enabled_chat_bot = false
llm_model.toggle_companion_user
if llm_model.destroy
head :no_content
else
render_json_error llm_model
end
end
def test
RateLimiter.new(current_user, "llm_test_#{current_user.id}", 3, 1.minute).performed!
llm_model = LlmModel.new(ai_llm_params)
DiscourseAi::Configuration::LlmValidator.new.run_test(llm_model)
render json: { success: true }
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
render json: { success: false, error: e.message }
end
private
def ai_llm_params(updating: nil)
permitted =
params.require(:ai_llm).permit(
:display_name,
:name,
:provider,
:tokenizer,
:max_prompt_tokens,
:api_key,
:enabled_chat_bot,
)
provider = updating ? updating.provider : permitted[:provider]
permit_url =
(updating && updating.url != LlmModel::RESERVED_VLLM_SRV_URL) ||
provider != LlmModel::BEDROCK_PROVIDER_NAME
permitted[:url] = params.dig(:ai_llm, :url) if permit_url
extra_field_names = LlmModel.provider_params.dig(provider&.to_sym, :fields).to_a
received_prov_params = params.dig(:ai_llm, :provider_params)
permitted[:provider_params] = received_prov_params.slice(
*extra_field_names,
).permit! if !extra_field_names.empty? && received_prov_params.present?
permitted
end
end
end
end
@@ -3,10 +3,7 @@
module DiscourseAi
module Admin
class AiPersonasController < ::Admin::AdminController
requires_plugin ::DiscourseAi::PLUGIN_NAME
before_action :find_ai_persona,
only: %i[show update destroy create_user indexing_status_check]
before_action :find_ai_persona, only: %i[show update destroy]
def index
ai_personas =
@@ -15,23 +12,11 @@ module DiscourseAi
# localized for system personas
LocalizedAiPersonaSerializer.new(persona, root: false)
end
tools =
DiscourseAi::AiBot::Personas::Persona.all_available_tools.map do |tool|
AiToolSerializer.new(tool, root: false)
commands =
DiscourseAi::AiBot::Personas::Persona.all_available_commands.map do |command|
{ id: command.to_s.split("::").last, name: command.name.humanize.titleize }
end
AiTool
.where(enabled: true)
.each do |tool|
tools << {
id: "custom-#{tool.id}",
name: I18n.t("discourse_ai.tools.custom_name", name: tool.name.capitalize),
}
end
llms =
DiscourseAi::Configuration::LlmEnumerator.values.map do |hash|
{ id: hash[:value], name: hash[:name] }
end
render json: { ai_personas: ai_personas, meta: { tools: tools, llms: llms } }
render json: { ai_personas: ai_personas, meta: { commands: commands } }
end
def show
@@ -39,31 +24,19 @@ module DiscourseAi
end
def create
ai_persona = AiPersona.new(ai_persona_params.except(:rag_uploads))
ai_persona = AiPersona.new(ai_persona_params)
if ai_persona.save
RagDocumentFragment.link_persona_and_uploads(ai_persona, attached_upload_ids)
render json: {
ai_persona: LocalizedAiPersonaSerializer.new(ai_persona, root: false),
},
status: :created
render json: { ai_persona: ai_persona }, status: :created
else
render_json_error ai_persona
end
end
def create_user
user = @ai_persona.create_user!
render json: BasicUserSerializer.new(user, root: "user")
end
def update
if @ai_persona.update(ai_persona_params.except(:rag_uploads))
RagDocumentFragment.update_persona_uploads(@ai_persona, attached_upload_ids)
render json: LocalizedAiPersonaSerializer.new(@ai_persona, root: false)
if @ai_persona.update(ai_persona_params)
render json: @ai_persona
else
render_json_error LocalizedAiPersonaSerializer.new(@ai_persona, root: false)
render_json_error @ai_persona
end
end
@@ -71,122 +44,27 @@ module DiscourseAi
if @ai_persona.destroy
head :no_content
else
render_json_error LocalizedAiPersonaSerializer.new(@ai_persona, root: false)
render_json_error @ai_persona
end
end
def upload_file
file = params[:file] || params[:files].first
if !SiteSetting.ai_embeddings_enabled?
raise Discourse::InvalidAccess.new("Embeddings not enabled")
end
validate_extension!(file.original_filename)
validate_file_size!(file.tempfile.size)
hijack do
upload =
UploadCreator.new(
file.tempfile,
file.original_filename,
type: "discourse_ai_rag_upload",
skip_validations: true,
).create_for(current_user.id)
if upload.persisted?
render json: UploadSerializer.new(upload)
else
render json: failed_json.merge(errors: upload.errors.full_messages), status: 422
end
end
end
def indexing_status_check
render json: RagDocumentFragment.indexing_status(@ai_persona, @ai_persona.uploads)
end
private
def find_ai_persona
@ai_persona = AiPersona.find(params[:id])
end
def attached_upload_ids
ai_persona_params[:rag_uploads].to_a.map { |h| h[:id] }
end
def ai_persona_params
permitted =
params.require(:ai_persona).permit(
:name,
:description,
:enabled,
:system_prompt,
:priority,
:top_p,
:temperature,
:default_llm,
:user_id,
:mentionable,
:max_context_posts,
:vision_enabled,
:vision_max_pixels,
:rag_chunk_tokens,
:rag_chunk_overlap_tokens,
:rag_conversation_chunks,
:question_consolidator_llm,
:allow_chat,
:tool_details,
allowed_group_ids: [],
rag_uploads: [:id],
)
if tools = params.dig(:ai_persona, :tools)
permitted[:tools] = permit_tools(tools)
end
permitted
end
def permit_tools(tools)
return [] if !tools.is_a?(Array)
tools.filter_map do |tool, options|
break nil if !tool.is_a?(String)
options&.permit! if options && options.is_a?(ActionController::Parameters)
if options
[tool, options]
else
tool
end
end
end
def validate_extension!(filename)
extension = File.extname(filename)[1..-1] || ""
authorized_extensions = %w[txt md]
if !authorized_extensions.include?(extension)
raise Discourse::InvalidParameters.new(
I18n.t(
"upload.unauthorized",
authorized_extensions: authorized_extensions.join(" "),
),
)
end
end
def validate_file_size!(filesize)
max_size_bytes = 20.megabytes
if filesize > max_size_bytes
raise Discourse::InvalidParameters.new(
I18n.t(
"upload.attachments.too_large_humanized",
max_size: ActiveSupport::NumberHelper.number_to_human_size(max_size_bytes),
),
)
end
params.require(:ai_persona).permit(
:name,
:description,
:enabled,
:system_prompt,
:enabled,
:priority,
allowed_group_ids: [],
commands: [],
)
end
end
end
@@ -1,89 +0,0 @@
# frozen_string_literal: true
module DiscourseAi
module Admin
class AiToolsController < ::Admin::AdminController
requires_plugin ::DiscourseAi::PLUGIN_NAME
before_action :find_ai_tool, only: %i[show update destroy]
def index
ai_tools = AiTool.all
render_serialized({ ai_tools: ai_tools }, AiCustomToolListSerializer, root: false)
end
def show
render_serialized(@ai_tool, AiCustomToolSerializer)
end
def create
ai_tool = AiTool.new(ai_tool_params)
ai_tool.created_by_id = current_user.id
if ai_tool.save
render_serialized(ai_tool, AiCustomToolSerializer, status: :created)
else
render_json_error ai_tool
end
end
def update
if @ai_tool.update(ai_tool_params)
render_serialized(@ai_tool, AiCustomToolSerializer)
else
render_json_error @ai_tool
end
end
def destroy
if @ai_tool.destroy
head :no_content
else
render_json_error @ai_tool
end
end
def test
if params[:id].present?
ai_tool = AiTool.find(params[:id])
else
ai_tool = AiTool.new(ai_tool_params)
end
parameters = params[:parameters].to_unsafe_h
# we need an llm so we have a tokenizer
# but will do without if none is available
llm = LlmModel.first&.to_llm
runner = ai_tool.runner(parameters, llm: llm, bot_user: current_user, context: {})
result = runner.invoke
if result.is_a?(Hash) && result[:error]
render_json_error result[:error]
else
render json: { output: result }
end
rescue ActiveRecord::RecordNotFound => e
render_json_error e.message, status: 400
rescue => e
render_json_error "Error executing the tool: #{e.message}", status: 400
end
private
def find_ai_tool
@ai_tool = AiTool.find(params[:id])
end
def ai_tool_params
params.require(:ai_tool).permit(
:name,
:description,
:script,
:summary,
parameters: [:name, :type, :description, :required, :enum, enum_values: []],
)
end
end
end
end
@@ -6,21 +6,6 @@ module DiscourseAi
requires_plugin ::DiscourseAi::PLUGIN_NAME
requires_login
def show_debug_info
post = Post.find(params[:post_id])
guardian.ensure_can_debug_ai_bot_conversation!(post)
posts =
Post
.where("post_number <= ?", post.post_number)
.where(topic_id: post.topic_id)
.order("post_number DESC")
debug_info = AiApiAuditLog.where(post: posts).order(created_at: :desc).first
render json: AiApiAuditLogSerializer.new(debug_info, root: false), status: 200
end
def stop_streaming_response
post = Post.find(params[:post_id])
guardian.ensure_can_see!(post)
@@ -31,10 +16,12 @@ module DiscourseAi
end
def show_bot_username
bot_user = DiscourseAi::AiBot::EntryPoint.find_user_from_model(params[:username])
raise Discourse::InvalidParameters.new(:username) if !bot_user
bot_user_id = DiscourseAi::AiBot::EntryPoint.map_bot_model_to_user_id(params[:username])
raise Discourse::InvalidParameters.new(:username) if !bot_user_id
render json: { bot_username: bot_user.username_lower }, status: 200
bot_username_lower = User.find(bot_user_id).username_lower
render json: { bot_username: bot_username_lower }, status: 200
end
end
end
@@ -1,111 +0,0 @@
# frozen_string_literal: true
module DiscourseAi
module AiBot
class SharedAiConversationsController < ::ApplicationController
requires_plugin ::DiscourseAi::PLUGIN_NAME
requires_login only: %i[create update destroy]
before_action :require_site_settings!
skip_before_action :preload_json, :check_xhr, only: %i[show]
def create
ensure_allowed_create!
RateLimiter.new(current_user, "share-ai-conversation", 10, 1.minute).performed!
shared_conversation = SharedAiConversation.share_conversation(current_user, @topic)
if shared_conversation.persisted?
render json: success_json.merge(share_key: shared_conversation.share_key)
else
render json:
failed_json.merge(error: I18n.t("discourse_ai.share_ai.errors.failed_to_share")),
status: :unprocessable_entity
end
end
def destroy
ensure_allowed_destroy!
SharedAiConversation.destroy_conversation(@shared_conversation)
render json:
success_json.merge(
message: I18n.t("discourse_ai.share_ai.errors.conversation_deleted"),
)
end
def show
@shared_conversation = SharedAiConversation.find_by(share_key: params[:share_key])
raise Discourse::NotFound if @shared_conversation.blank?
expires_in 1.minute, public: true
response.headers["X-Robots-Tag"] = "noindex"
if request.format.json?
render json: success_json.merge(@shared_conversation.to_json)
else
render "show", layout: false
end
end
def preview
ensure_allowed_preview!
data = SharedAiConversation.build_conversation_data(@topic, include_usernames: true)
data[:error] = @error if @error
data[:share_key] = @shared_conversation.share_key if @shared_conversation
data[:topic_id] = @topic.id
render json: data
end
private
def require_site_settings!
if !SiteSetting.discourse_ai_enabled ||
!SiteSetting.ai_bot_public_sharing_allowed_groups_map.any? ||
!SiteSetting.ai_bot_enabled
raise Discourse::NotFound
end
end
def ensure_allowed_preview!
@topic = Topic.find_by(id: params[:topic_id])
raise Discourse::NotFound if !@topic
@shared_conversation = SharedAiConversation.find_by(target: @topic)
@error = DiscourseAi::AiBot::EntryPoint.ai_share_error(@topic, guardian)
if @error == :not_allowed
raise Discourse::InvalidAccess.new(
nil,
nil,
custom_message: "discourse_ai.share_ai.errors.#{@error}",
)
end
end
def ensure_allowed_destroy!
@shared_conversation = SharedAiConversation.find_by(share_key: params[:share_key])
raise Discourse::InvalidAccess if @shared_conversation.blank?
guardian.ensure_can_destroy_shared_ai_bot_conversation!(@shared_conversation)
end
def ensure_allowed_create!
@topic = Topic.find_by(id: params[:topic_id])
raise Discourse::NotFound if !@topic
error = DiscourseAi::AiBot::EntryPoint.ai_share_error(@topic, guardian)
if error
raise Discourse::InvalidAccess.new(
nil,
nil,
custom_message: "discourse_ai.share_ai.errors.#{error}",
)
end
end
end
end
end
@@ -8,35 +8,35 @@ module DiscourseAi
before_action :ensure_can_request_suggestions
before_action :rate_limiter_performed!, except: %i[prompts]
include SecureUploadEndpointHelpers
def prompts
render json:
ActiveModel::ArraySerializer.new(
DiscourseAi::AiHelper::Assistant.new.available_prompts,
root: false,
),
status: 200
end
def suggest
input = get_text_param!
force_default_locale = params[:force_default_locale] || false
prompt = CompletionPrompt.find_by(id: params[:mode])
raise Discourse::InvalidParameters.new(:mode) if !prompt || !prompt.enabled?
if prompt.id == CompletionPrompt::CUSTOM_PROMPT
raise Discourse::InvalidParameters.new(:custom_prompt) if params[:custom_prompt].blank?
prompt.custom_instruction = params[:custom_prompt]
if prompt.prompt_type == "custom_prompt" && params[:custom_prompt].blank?
raise Discourse::InvalidParameters.new(:custom_prompt)
end
suggest_thumbnails(input) if prompt.id == CompletionPrompt::ILLUSTRATE_POST
hijack do
render json:
DiscourseAi::AiHelper::Assistant.new.generate_and_send_prompt(
prompt,
input,
current_user,
force_default_locale,
),
status: 200
end
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
status: 502
end
@@ -56,7 +56,7 @@ module DiscourseAi
),
status: 200
end
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
status: 502
end
@@ -81,7 +81,9 @@ module DiscourseAi
status: 200
end
def suggest_thumbnails(input)
def suggest_thumbnails
input = get_text_param!
hijack do
thumbnails = DiscourseAi::AiHelper::Painter.new.commission_thumbnails(input, current_user)
@@ -96,48 +98,13 @@ module DiscourseAi
raise Discourse::InvalidParameters.new(:post_id) unless post
Jobs.enqueue(
:stream_post_helper,
post_id: post.id,
user_id: current_user.id,
term_to_explain: term_to_explain,
)
render json: { success: true }, status: 200
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed
render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
status: 502
end
def caption_image
image_url = params[:image_url]
image_url_type = params[:image_url_type]
raise Discourse::InvalidParameters.new(:image_url) if !image_url
raise Discourse::InvalidParameters.new(:image_url) if !image_url_type
if image_url_type == "short_path"
image = Upload.find_by(sha1: Upload.sha1_from_short_path(image_url))
elsif image_url_type == "short_url"
image = Upload.find_by(sha1: Upload.sha1_from_short_url(image_url))
else
image = upload_from_full_url(image_url)
end
raise Discourse::NotFound if image.blank?
check_secure_upload_permission(image) if image.secure?
user = current_user
hijack do
caption = DiscourseAi::AiHelper::Assistant.new.generate_image_caption(image, user)
render json: {
caption:
"#{caption} (#{I18n.t("discourse_ai.ai_helper.image_caption.attribution")})",
},
status: 200
end
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed, Net::HTTPBadResponse
render json:
DiscourseAi::AiHelper::TopicHelper.new(current_user).explain(
term_to_explain,
post,
),
status: 200
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
status: 502
end
@@ -157,9 +124,14 @@ module DiscourseAi
end
def ensure_can_request_suggestions
if !current_user.in_any_groups?(SiteSetting.ai_helper_allowed_groups_map)
raise Discourse::InvalidAccess
end
user_group_ids = current_user.group_ids
allowed =
SiteSetting.ai_helper_allowed_groups_map.any? do |group_id|
user_group_ids.include?(group_id)
end
raise Discourse::InvalidAccess if !allowed
end
end
end
@@ -20,7 +20,6 @@ module DiscourseAi
term: query,
search_context: guardian,
use_pg_headlines_for_excerpt: false,
can_lazy_load_categories: guardian.can_lazy_load_categories?,
)
semantic_search = DiscourseAi::Embeddings::SemanticSearch.new(guardian)
@@ -37,34 +36,6 @@ module DiscourseAi
render_serialized(grouped_results, GroupedSearchResultSerializer, result: grouped_results)
end
end
def quick_search
query = params[:q].to_s
if query.length < SiteSetting.min_search_term_length
raise Discourse::InvalidParameters.new(:q)
end
grouped_results =
Search::GroupedSearchResults.new(
type_filter: SEMANTIC_SEARCH_TYPE,
term: query,
search_context: guardian,
use_pg_headlines_for_excerpt: false,
)
semantic_search = DiscourseAi::Embeddings::SemanticSearch.new(guardian)
if !semantic_search.cached_query?(query)
RateLimiter.new(current_user, "semantic-search", 60, 1.minutes).performed!
end
hijack do
semantic_search.quick_search(query).each { |topic_post| grouped_results.add(topic_post) }
render_serialized(grouped_results, GroupedSearchResultSerializer, result: grouped_results)
end
end
end
end
end
@@ -1,48 +0,0 @@
# frozen_string_literal: true
module DiscourseAi
module Summarization
class ChatSummaryController < ::Chat::ApiController
requires_plugin ::DiscourseAi::PLUGIN_NAME
requires_plugin ::Chat::PLUGIN_NAME
VALID_SINCE_VALUES = [1, 3, 6, 12, 24, 72, 168]
def show
since = params[:since].to_i
raise Discourse::InvalidParameters.new(:since) if !VALID_SINCE_VALUES.include?(since)
channel = ::Chat::Channel.find(params[:channel_id])
guardian.ensure_can_join_chat_channel!(channel)
strategy = DiscourseAi::Summarization.default_strategy
raise Discourse::NotFound.new unless strategy
guardian.ensure_can_request_summary!
RateLimiter.new(current_user, "channel_summary", 6, 5.minutes).performed!
hijack do
content = { content_title: channel.name }
content[:contents] = channel
.chat_messages
.where("chat_messages.created_at > ?", since.hours.ago)
.includes(:user)
.order(created_at: :asc)
.pluck(:id, :username_lower, :message)
.map { { id: _1, poster: _2, text: _3 } }
summarized_text =
if content[:contents].empty?
I18n.t("discourse_ai.summarization.chat.no_targets")
else
strategy.summarize(content, current_user).dig(:summary)
end
render json: { summary: summarized_text }
end
end
end
end
end
@@ -1,36 +0,0 @@
# frozen_string_literal: true
module DiscourseAi
module Summarization
class SummaryController < ::ApplicationController
requires_plugin ::DiscourseAi::PLUGIN_NAME
def show
topic = Topic.find(params[:topic_id])
guardian.ensure_can_see!(topic)
raise Discourse::NotFound if !guardian.can_see_summary?(topic)
RateLimiter.new(current_user, "summary", 6, 5.minutes).performed! if current_user
opts = params.permit(:skip_age_check)
if params[:stream] && current_user
Jobs.enqueue(
:stream_topic_ai_summary,
topic_id: topic.id,
user_id: current_user.id,
opts: opts.as_json,
)
render json: success_json
else
hijack do
summary = DiscourseAi::TopicSummarization.summarize(topic, current_user, opts)
render_serialized(summary, AiTopicSummarySerializer)
end
end
end
end
end
end
@@ -1,15 +0,0 @@
# frozen_string_literal: true
module DiscourseAi
module AiBot
module SharedAiConversationsHelper
# bump up version when assets change
# long term we may want to change this cause it is hard to remember
# to bump versions, but for now this does the job
VERSION = "1"
def share_asset_url(short_path)
::UrlHelper.absolute("/plugins/discourse-ai/ai-share/#{short_path}?#{VERSION}")
end
end
end
end
-28
View File
@@ -1,28 +0,0 @@
# frozen_string_literal: true
module ::Jobs
class CreateAiChatReply < ::Jobs::Base
sidekiq_options retry: false
def execute(args)
channel = ::Chat::Channel.find_by(id: args[:channel_id])
return if channel.blank?
message = ::Chat::Message.find_by(id: args[:message_id])
return if message.blank?
personaClass =
DiscourseAi::AiBot::Personas::Persona.find_by(id: args[:persona_id], user: message.user)
return if personaClass.blank?
user = User.find_by(id: personaClass.user_id)
bot = DiscourseAi::AiBot::Bot.as(user, persona: personaClass.new)
DiscourseAi::AiBot::Playground.new(bot).reply_to_chat_message(
message,
channel,
args[:context_post_ids],
)
end
end
end
-172
View File
@@ -1,172 +0,0 @@
# frozen_string_literal: true
module ::Jobs
class DigestRagUpload < ::Jobs::Base
CHUNK_SIZE = 1024
CHUNK_OVERLAP = 64
MAX_FRAGMENTS = 100_000
# TODO(roman): Add a way to automatically recover from errors, resulting in unindexed uploads.
def execute(args)
return if (upload = Upload.find_by(id: args[:upload_id])).nil?
return if (ai_persona = AiPersona.find_by(id: args[:ai_persona_id])).nil?
truncation = DiscourseAi::Embeddings::Strategies::Truncation.new
vector_rep =
DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(truncation)
tokenizer = vector_rep.tokenizer
chunk_tokens = ai_persona.rag_chunk_tokens
overlap_tokens = ai_persona.rag_chunk_overlap_tokens
fragment_ids = RagDocumentFragment.where(ai_persona: ai_persona, upload: upload).pluck(:id)
# Check if this is the first time we process this upload.
if fragment_ids.empty?
document = get_uploaded_file(upload)
return if document.nil?
RagDocumentFragment.publish_status(upload, { total: 0, indexed: 0, left: 0 })
fragment_ids = []
idx = 0
ActiveRecord::Base.transaction do
chunk_document(
file: document,
tokenizer: tokenizer,
chunk_tokens: chunk_tokens,
overlap_tokens: overlap_tokens,
) do |chunk, metadata|
fragment_ids << RagDocumentFragment.create!(
ai_persona: ai_persona,
fragment: chunk,
fragment_number: idx + 1,
upload: upload,
metadata: metadata,
).id
idx += 1
if idx > MAX_FRAGMENTS
Rails.logger.warn("Upload #{upload.id} has too many fragments, truncating.")
break
end
end
end
end
fragment_ids.each_slice(50) do |slice|
Jobs.enqueue(:generate_rag_embeddings, fragment_ids: slice)
end
end
private
def chunk_document(file:, tokenizer:, chunk_tokens:, overlap_tokens:)
buffer = +""
current_metadata = nil
done = false
overlap = ""
# generally this will be plenty
read_size = chunk_tokens * 10
while buffer.present? || !done
if buffer.length < read_size
read = file.read(read_size)
done = true if read.nil?
read = Encodings.to_utf8(read) if read
buffer << (read || "")
end
# at this point we unconditionally have 2x CHUNK_SIZE worth of data in the buffer
metadata_regex = /\[\[metadata (.*?)\]\]/m
before_metadata, new_metadata, after_metadata = buffer.split(metadata_regex)
to_chunk = nil
if before_metadata.present?
to_chunk = before_metadata
elsif after_metadata.present?
current_metadata = new_metadata
to_chunk = after_metadata
buffer = buffer.split(metadata_regex, 2).last
overlap = ""
else
current_metadata = new_metadata
buffer = buffer.split(metadata_regex, 2).last
overlap = ""
next
end
chunk, split_char = first_chunk(to_chunk, tokenizer: tokenizer, chunk_tokens: chunk_tokens)
buffer = buffer[chunk.length..-1]
processed_chunk = overlap + chunk
processed_chunk.strip!
processed_chunk.gsub!(/\n[\n]+/, "\n\n")
yield processed_chunk, current_metadata
current_chunk_tokens = tokenizer.encode(chunk)
overlap_token_ids = current_chunk_tokens[-overlap_tokens..-1] || current_chunk_tokens
overlap = ""
while overlap_token_ids.present?
begin
overlap = tokenizer.decode(overlap_token_ids) + split_char
break if overlap.encoding == Encoding::UTF_8
rescue StandardError
# it is possible that we truncated mid char
end
overlap_token_ids.shift
end
# remove first word it is probably truncated
overlap = overlap.split(" ", 2).last
end
end
def first_chunk(text, chunk_tokens:, tokenizer:, splitters: ["\n\n", "\n", ".", ""])
return text, " " if tokenizer.tokenize(text).length <= chunk_tokens
splitters = splitters.find_all { |s| text.include?(s) }.compact
buffer = +""
split_char = nil
splitters.each do |splitter|
split_char = splitter
text
.split(split_char)
.each do |part|
break if tokenizer.tokenize(buffer + split_char + part).length > chunk_tokens
buffer << split_char
buffer << part
end
break if buffer.length > 0
end
[buffer, split_char]
end
def get_uploaded_file(upload)
store = Discourse.store
@file ||=
if store.external?
# Upload#filesize could be approximate.
# add two extra Mbs to make sure that we'll be able to download the upload.
max_filesize = upload.filesize + 2.megabytes
store.download(upload, max_file_size_kb: max_filesize)
else
File.open(store.path_for(upload))
end
end
end
end
-26
View File
@@ -1,26 +0,0 @@
# frozen_string_literal: true
module Jobs
class GenerateEmbeddings < ::Jobs::Base
sidekiq_options queue: "low"
def execute(args)
return unless SiteSetting.ai_embeddings_enabled
return if args[:target_type].blank? || args[:target_id].blank?
target = args[:target_type].constantize.find_by_id(args[:target_id])
return if target.nil? || target.deleted_at.present?
topic = target.is_a?(Topic) ? target : target.topic
post = target.is_a?(Post) ? target : target.first_post
return if topic.blank? || post.blank?
return if topic.private_message? && !SiteSetting.ai_embeddings_generate_for_pms
return if post.raw.blank?
strategy = DiscourseAi::Embeddings::Strategies::Truncation.new
vector_rep =
DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(strategy)
vector_rep.generate_representation_from(target)
end
end
end
@@ -1,27 +0,0 @@
# frozen_string_literal: true
module ::Jobs
class GenerateRagEmbeddings < ::Jobs::Base
sidekiq_options queue: "ultra_low"
# we could also restrict concurrency but this takes so long if it is not concurrent
def execute(args)
return if (fragments = RagDocumentFragment.where(id: args[:fragment_ids].to_a)).empty?
truncation = DiscourseAi::Embeddings::Strategies::Truncation.new
vector_rep =
DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(truncation)
# generate_representation_from checks compares the digest value to make sure
# the embedding is only generated once per fragment unless something changes.
fragments.map { |fragment| vector_rep.generate_representation_from(fragment) }
last_fragment = fragments.last
ai_persona = last_fragment.ai_persona
upload = last_fragment.upload
indexing_status = RagDocumentFragment.indexing_status(ai_persona, [upload])[upload.id]
RagDocumentFragment.publish_status(upload, indexing_status)
end
end
end
@@ -1,51 +0,0 @@
# frozen_string_literal: true
module ::Jobs
class SharedConversationAdjustUploadSecurity < ::Jobs::Base
def execute(args)
if args[:conversation_id].present?
# The conversation context includes post cooked content so this
# must be updated when target uploads security changes.
update_conversation(args[:conversation_id])
elsif args[:target_id].present? && args[:target_type].present?
# If we deleted the conversation then we just need to update the target's
# uploads security, no need to update the conversation.
update_target(args[:target_id], args[:target_type])
end
end
private
def update_conversation(conversation_id)
conversation = SharedAiConversation.find_by(id: conversation_id)
return if conversation.blank?
# NOTE: Only Topics are supported for now, in future we will need a more flexible
# way of doing this.
if conversation.target_type == "Topic"
rebaked_posts = TopicUploadSecurityManager.new(conversation.target).run
if rebaked_posts.any?
new_context =
conversation.context.map do |context_post|
rebaked_post = rebaked_posts.find { |p| p.id == context_post["id"] }
context_post["cooked"] = rebaked_post.cooked if rebaked_post
context_post
end
conversation.update(context: new_context)
end
end
end
def update_target(target_id, target_type)
# NOTE: Only Topics are supported for now, in future we will need a more flexible
# way of doing this.
if target_type == "Topic"
topic = target_type.constantize.find_by(id: target_id)
return if topic.blank?
TopicUploadSecurityManager.new(topic).run
end
end
end
end

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