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Author SHA1 Message Date
Penar Musaraj 059da39a4a DEV: output raw response in dev mode
Makes it easier to debug issues, for example if rate limits are hit.
2025-05-13 16:54:10 -04:00
412 changed files with 842194 additions and 3155719 deletions
-2
View File
@@ -1,5 +1,3 @@
< 3.5.0.beta7-dev: cd14b0c0bee0cf63c59b64b6f7213e31a37f11a7
< 3.5.0.beta6-dev: 3e74eea1e5e3143888d67a8d8a11206df214dc24
< 3.5.0.beta3-dev: 09a68414804a1447f52e5d60691ba59742cda9ec
< 3.5.0.beta2-dev: de8624416a15b3d8e7ad350b083cc1420451ccec
< 3.5.0.beta1-dev: bdef136080074a993e7c4f5ca562edc31a8ba756
@@ -12,7 +12,7 @@ export default class AdminPluginsShowDiscourseAiFeaturesEdit extends DiscourseRo
const { site_settings } = await ajax("/admin/config/site_settings.json", {
data: {
filter_area: `ai-features/${currentFeature.module_name}`,
filter_area: `ai-features/${currentFeature.ref}`,
plugin: "discourse-ai",
category: "discourse_ai",
},
@@ -0,0 +1,156 @@
import Component from "@glimmer/component";
import { service } from "@ember/service";
import RouteTemplate from "ember-route-template";
import { gt } from "truth-helpers";
import DBreadcrumbsItem from "discourse/components/d-breadcrumbs-item";
import DButton from "discourse/components/d-button";
import DPageSubheader from "discourse/components/d-page-subheader";
import { i18n } from "discourse-i18n";
export default RouteTemplate(
class extends Component {
@service adminPluginNavManager;
get tableHeaders() {
const prefix = "discourse_ai.features.list.header";
return [
i18n(`${prefix}.name`),
i18n(`${prefix}.persona`),
i18n(`${prefix}.groups`),
"",
];
}
get configuredFeatures() {
return this.args.model.filter(
(feature) => feature.enable_setting.value === true
);
}
get unconfiguredFeatures() {
return this.args.model.filter(
(feature) => feature.enable_setting.value === false
);
}
<template>
<DBreadcrumbsItem
@path="/admin/plugins/{{this.adminPluginNavManager.currentPlugin.name}}/ai-features"
@label={{i18n "discourse_ai.features.short_title"}}
/>
<section class="ai-feature-list admin-detail">
<DPageSubheader
@titleLabel={{i18n "discourse_ai.features.short_title"}}
@descriptionLabel={{i18n "discourse_ai.features.description"}}
@learnMoreUrl="todo"
/>
{{#if (gt this.configuredFeatures.length 0)}}
<div class="ai-feature-list__configured-features">
<h3>{{i18n "discourse_ai.features.list.configured_features"}}</h3>
<table class="d-admin-table">
<thead>
<tr>
{{#each this.tableHeaders as |header|}}
<th>{{header}}</th>
{{/each}}
</tr>
</thead>
<tbody>
{{#each this.configuredFeatures as |feature|}}
<tr
class="ai-feature-list__row d-admin-row__content"
data-feature-name={{feature.name}}
>
<td class="d-admin-row__overview ai-feature-list__row-item">
<span class="ai-feature-list__row-item-name">
<strong>
{{feature.name}}
</strong>
</span>
<span class="ai-feature-list__row-item-description">
{{feature.description}}
</span>
</td>
<td
class="d-admin-row__detail ai-feature-list__row-item ai-feature-list__persona"
>
<DButton
class="btn-flat btn-small ai-feature-list__row-item-persona"
@translatedLabel={{feature.persona.name}}
@route="adminPlugins.show.discourse-ai-personas.edit"
@routeModels={{feature.persona.id}}
/>
</td>
<td
class="d-admin-row__detail ai-feature-list__row-item ai-feature-list__groups"
>
{{#if (gt feature.persona.allowed_groups.length 0)}}
<ul class="ai-feature-list__row-item-groups">
{{#each feature.persona.allowed_groups as |group|}}
<li>{{group.name}}</li>
{{/each}}
</ul>
{{/if}}
</td>
<td class="d-admin-row_controls">
<DButton
class="btn-small edit"
@label="discourse_ai.features.list.edit"
@route="adminPlugins.show.discourse-ai-features.edit"
@routeModels={{feature.id}}
/>
</td>
</tr>
{{/each}}
</tbody>
</table>
</div>
{{/if}}
{{#if (gt this.unconfiguredFeatures.length 0)}}
<div class="ai-feature-list__unconfigured-features">
<h3>{{i18n "discourse_ai.features.list.unconfigured_features"}}</h3>
<table class="d-admin-table">
<thead>
<tr>
<th>{{i18n "discourse_ai.features.list.header.name"}}</th>
<th></th>
</tr>
</thead>
<tbody>
{{#each this.unconfiguredFeatures as |feature|}}
<tr class="ai-feature-list__row d-admin-row__content">
<td class="d-admin-row__overview ai-feature-list__row-item">
<span class="ai-feature-list__row-item-name">
<strong>
{{feature.name}}
</strong>
</span>
<span class="ai-feature-list__row-item-description">
{{feature.description}}
</span>
</td>
<td class="d-admin-row_controls">
<DButton
class="btn-small"
@label="discourse_ai.features.list.set_up"
@route="adminPlugins.show.discourse-ai-features.edit"
@routeModels={{feature.id}}
/>
</td>
</tr>
{{/each}}
</tbody>
</table>
</div>
{{/if}}
</section>
</template>
}
);
@@ -1 +0,0 @@
<AiFeatures @features={{this.model}} />
@@ -40,7 +40,6 @@ module DiscourseAi
embedding_def = EmbeddingDefinition.new(ai_embeddings_params)
if embedding_def.save
log_ai_embedding_creation(embedding_def)
render json: AiEmbeddingDefinitionSerializer.new(embedding_def), status: :created
else
render_json_error embedding_def
@@ -56,10 +55,7 @@ module DiscourseAi
)
end
initial_attributes = embedding_def.attributes.dup
if embedding_def.update(ai_embeddings_params.except(:dimensions))
log_ai_embedding_update(embedding_def, initial_attributes)
render json: AiEmbeddingDefinitionSerializer.new(embedding_def)
else
render_json_error embedding_def
@@ -79,16 +75,7 @@ module DiscourseAi
return render_json_error(I18n.t("discourse_ai.embeddings.delete_failed"), status: 409)
end
embedding_details = {
embedding_id: embedding_def.id,
display_name: embedding_def.display_name,
provider: embedding_def.provider,
dimensions: embedding_def.dimensions,
subject: embedding_def.display_name,
}
if embedding_def.destroy
log_ai_embedding_deletion(embedding_details)
head :no_content
else
render_json_error embedding_def
@@ -141,60 +128,6 @@ module DiscourseAi
permitted
end
def ai_embeddings_logger_fields
{
display_name: {
},
provider: {
},
dimensions: {
},
url: {
},
tokenizer_class: {
},
max_sequence_length: {
},
embed_prompt: {
type: :large_text,
},
search_prompt: {
type: :large_text,
},
matryoshka_dimensions: {
},
api_key: {
type: :sensitive,
},
# JSON fields should be tracked as simple changes
json_fields: [:provider_params],
}
end
def log_ai_embedding_creation(embedding_def)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { embedding_id: embedding_def.id, subject: embedding_def.display_name }
logger.log_creation("embedding", embedding_def, ai_embeddings_logger_fields, entity_details)
end
def log_ai_embedding_update(embedding_def, initial_attributes)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { embedding_id: embedding_def.id, subject: embedding_def.display_name }
logger.log_update(
"embedding",
embedding_def,
initial_attributes,
ai_embeddings_logger_fields,
entity_details,
)
end
def log_ai_embedding_deletion(embedding_details)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
logger.log_deletion("embedding", embedding_details)
end
end
end
end
@@ -6,40 +6,24 @@ module DiscourseAi
requires_plugin ::DiscourseAi::PLUGIN_NAME
def index
render json: serialize_modules(DiscourseAi::Configuration::Module.all)
render json: serialize_features(DiscourseAi::Features.features)
end
def edit
raise Discourse::InvalidParameters.new(:id) if params[:id].blank?
a_module = DiscourseAi::Configuration::Module.find_by(id: params[:id].to_i)
render json: serialize_module(a_module)
render json: serialize_feature(DiscourseAi::Features.find_feature_by_id(params[:id].to_i))
end
private
def serialize_modules(modules)
modules.map { |a_module| serialize_module(a_module) }
end
def serialize_module(a_module)
return nil if a_module.blank?
{
id: a_module.id,
module_name: a_module.name,
module_enabled: a_module.enabled?,
features: a_module.features.map { |f| serialize_feature(f) },
}
def serialize_features(features)
features.map { |feature| feature.merge(persona: serialize_persona(feature[:persona])) }
end
def serialize_feature(feature)
{
name: feature.name,
persona: serialize_persona(persona_id_obj_hash[feature.persona_id]),
enabled: feature.enabled?,
}
return nil if feature.blank?
feature.merge(persona: serialize_persona(feature[:persona]))
end
def serialize_persona(persona)
@@ -47,18 +31,6 @@ module DiscourseAi
serialize_data(persona, AiFeaturesPersonaSerializer, root: false)
end
private
def persona_id_obj_hash
@persona_id_obj_hash ||=
begin
setting_names = DiscourseAi::Configuration::Feature.all_persona_setting_names
ids = setting_names.map { |sn| SiteSetting.public_send(sn) }
AiPersona.where(id: ids).index_by(&:id)
end
end
end
end
end
@@ -47,7 +47,6 @@ module DiscourseAi
if llm_model.save
llm_model.toggle_companion_user
log_llm_model_creation(llm_model)
render json: LlmModelSerializer.new(llm_model), status: :created
else
render_json_error llm_model
@@ -57,10 +56,6 @@ module DiscourseAi
def update
llm_model = LlmModel.find(params[:id])
# Capture initial state for logging
initial_attributes = llm_model.attributes.dup
initial_quotas = llm_model.llm_quotas.map(&:attributes)
if params[:ai_llm].key?(:llm_quotas)
if quota_params
existing_quota_group_ids = llm_model.llm_quotas.pluck(:group_id)
@@ -86,7 +81,6 @@ module DiscourseAi
if llm_model.update(ai_llm_params(updating: llm_model))
llm_model.toggle_companion_user
log_llm_model_update(llm_model, initial_attributes, initial_quotas)
render json: LlmModelSerializer.new(llm_model)
else
render_json_error llm_model
@@ -115,20 +109,11 @@ module DiscourseAi
)
end
# Capture model details for logging before destruction
model_details = {
model_id: llm_model.id,
display_name: llm_model.display_name,
name: llm_model.name,
provider: llm_model.provider,
}
# Clean up companion users
llm_model.enabled_chat_bot = false
llm_model.toggle_companion_user
if llm_model.destroy
log_llm_model_deletion(model_details)
head :no_content
else
render_json_error llm_model
@@ -205,89 +190,6 @@ module DiscourseAi
permitted
end
def ai_llm_logger_fields
{
display_name: {
},
name: {
},
provider: {
},
tokenizer: {
},
url: {
},
max_prompt_tokens: {
},
max_output_tokens: {
},
enabled_chat_bot: {
},
vision_enabled: {
},
api_key: {
type: :sensitive,
},
input_cost: {
},
output_cost: {
},
# JSON fields should be tracked as simple changes
json_fields: [:provider_params],
}
end
def log_llm_model_creation(llm_model)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { model_id: llm_model.id, subject: llm_model.display_name }
# Add quota information as a special case
if llm_model.llm_quotas.any?
entity_details[:quotas] = llm_model
.llm_quotas
.map do |quota|
"Group #{quota.group_id}: #{quota.max_tokens} tokens, #{quota.max_usages} usages, #{quota.duration_seconds}s"
end
.join("; ")
end
logger.log_creation("llm_model", llm_model, ai_llm_logger_fields, entity_details)
end
def log_llm_model_update(llm_model, initial_attributes, initial_quotas)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { model_id: llm_model.id, subject: llm_model.display_name }
# Track quota changes separately as they're a special case
current_quotas = llm_model.llm_quotas.reload.map(&:attributes)
if initial_quotas != current_quotas
initial_quota_summary =
initial_quotas
.map { |q| "Group #{q["group_id"]}: #{q["max_tokens"]} tokens" }
.join("; ")
current_quota_summary =
current_quotas
.map { |q| "Group #{q["group_id"]}: #{q["max_tokens"]} tokens" }
.join("; ")
entity_details[:quotas_changed] = true
entity_details[:quotas] = "#{initial_quota_summary} → #{current_quota_summary}"
end
logger.log_update(
"llm_model",
llm_model,
initial_attributes,
ai_llm_logger_fields,
entity_details,
)
end
def log_llm_model_deletion(model_details)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
model_details[:subject] = model_details[:display_name]
logger.log_deletion("llm_model", model_details)
end
end
end
end
@@ -9,16 +9,15 @@ module DiscourseAi
def index
ai_personas =
AiPersona
.ordered
.includes(:user, :uploads)
.map { |persona| LocalizedAiPersonaSerializer.new(persona, root: false) }
AiPersona.ordered.map do |persona|
# we use a special serializer here cause names and descriptions are
# localized for system personas
LocalizedAiPersonaSerializer.new(persona, root: false)
end
tools =
DiscourseAi::Personas::Persona.all_available_tools.map do |tool|
AiToolSerializer.new(tool, root: false)
end
AiTool
.where(enabled: true)
.each do |tool|
@@ -32,12 +31,10 @@ module DiscourseAi
),
}
end
llms =
DiscourseAi::Configuration::LlmEnumerator.values_for_serialization(
allowed_seeded_llm_ids: SiteSetting.ai_bot_allowed_seeded_models_map,
)
render json: {
ai_personas: ai_personas,
meta: {
@@ -61,7 +58,6 @@ module DiscourseAi
ai_persona = AiPersona.new(ai_persona_params.except(:rag_uploads))
if ai_persona.save
RagDocumentFragment.link_target_and_uploads(ai_persona, attached_upload_ids)
log_ai_persona_creation(ai_persona)
render json: {
ai_persona: LocalizedAiPersonaSerializer.new(ai_persona, root: false),
@@ -78,11 +74,8 @@ module DiscourseAi
end
def update
initial_attributes = @ai_persona.attributes.dup
if @ai_persona.update(ai_persona_params.except(:rag_uploads))
RagDocumentFragment.update_target_uploads(@ai_persona, attached_upload_ids)
log_ai_persona_update(@ai_persona, initial_attributes)
render json: LocalizedAiPersonaSerializer.new(@ai_persona, root: false)
else
@@ -91,14 +84,7 @@ module DiscourseAi
end
def destroy
persona_details = {
persona_id: @ai_persona.id,
name: @ai_persona.name,
description: @ai_persona.description,
}
if @ai_persona.destroy
log_ai_persona_deletion(persona_details)
head :no_content
else
render_json_error @ai_persona
@@ -275,92 +261,6 @@ module DiscourseAi
examples.map { |example_arr| example_arr.take(2).map(&:to_s) }
end
def ai_persona_logger_fields
{
name: {
},
description: {
},
enabled: {
},
priority: {
},
system_prompt: {
type: :large_text,
},
default_llm_id: {
},
temperature: {
},
top_p: {
},
user_id: {
},
max_context_posts: {
},
vision_enabled: {
},
vision_max_pixels: {
},
rag_chunk_tokens: {
},
rag_chunk_overlap_tokens: {
},
rag_conversation_chunks: {
},
rag_llm_model_id: {
},
question_consolidator_llm_id: {
},
allow_chat_channel_mentions: {
},
allow_chat_direct_messages: {
},
allow_topic_mentions: {
},
allow_personal_messages: {
},
tool_details: {
type: :large_text,
},
forced_tool_count: {
},
force_default_llm: {
},
# JSON fields
json_fields: %i[tools response_format examples allowed_group_ids],
}
end
def log_ai_persona_creation(ai_persona)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { persona_id: ai_persona.id, subject: ai_persona.name }
entity_details[:tools_count] = (ai_persona.tools || []).size
logger.log_creation("persona", ai_persona, ai_persona_logger_fields, entity_details)
end
def log_ai_persona_update(ai_persona, initial_attributes)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { persona_id: ai_persona.id, subject: ai_persona.name }
entity_details[:tools_count] = ai_persona.tools.size if ai_persona.tools.present?
logger.log_update(
"persona",
ai_persona,
initial_attributes,
ai_persona_logger_fields,
entity_details,
)
end
def log_ai_persona_deletion(persona_details)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
persona_details[:subject] = persona_details[:name]
logger.log_deletion("persona", persona_details)
end
end
end
end
@@ -10,10 +10,6 @@ module DiscourseAi
end
def update
initial_settings = AiModerationSetting.spam
initial_custom_instructions = initial_settings&.data&.dig("custom_instructions")
initial_llm_model_id = initial_settings&.llm_model_id
updated_params = {}
if allowed_params.key?(:llm_model_id)
llm_model_id = updated_params[:llm_model_id] = allowed_params[:llm_model_id]
@@ -40,8 +36,6 @@ module DiscourseAi
else
AiModerationSetting.create!(updated_params.merge(setting_type: :spam))
end
log_ai_spam_update(initial_llm_model_id, initial_custom_instructions, allowed_params)
end
is_enabled = ActiveModel::Type::Boolean.new.cast(allowed_params[:is_enabled])
@@ -56,7 +50,7 @@ module DiscourseAi
)
end
SiteSetting.set_and_log("ai_spam_detection_enabled", is_enabled, current_user)
SiteSetting.ai_spam_detection_enabled = is_enabled
end
render json: AiSpamSerializer.new(spam_config, root: false)
@@ -119,30 +113,6 @@ module DiscourseAi
private
def log_ai_spam_update(initial_llm_model_id, initial_custom_instructions, params)
changes_to_log = {}
if params.key?(:llm_model_id) && initial_llm_model_id.to_s != params[:llm_model_id].to_s
old_model_name =
LlmModel.find_by(id: initial_llm_model_id)&.display_name || initial_llm_model_id
new_model_name =
LlmModel.find_by(id: params[:llm_model_id])&.display_name || params[:llm_model_id]
changes_to_log[:llm_model_id] = "#{old_model_name} → #{new_model_name}"
end
if params.key?(:custom_instructions) &&
initial_custom_instructions != params[:custom_instructions]
changes_to_log[:custom_instructions] = params[:custom_instructions]
end
if changes_to_log.present?
changes_to_log[:subject] = I18n.t("discourse_ai.spam_detection.logging_subject")
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
logger.log_custom("update_ai_spam_settings", changes_to_log)
end
end
def allowed_params
params.permit(:is_enabled, :llm_model_id, :custom_instructions)
end
@@ -25,7 +25,6 @@ module DiscourseAi
if ai_tool.save
RagDocumentFragment.link_target_and_uploads(ai_tool, attached_upload_ids)
log_ai_tool_creation(ai_tool)
render_serialized(ai_tool, AiCustomToolSerializer, status: :created)
else
render_json_error ai_tool
@@ -33,11 +32,8 @@ module DiscourseAi
end
def update
initial_attributes = @ai_tool.attributes.dup
if @ai_tool.update(ai_tool_params)
RagDocumentFragment.update_target_uploads(@ai_tool, attached_upload_ids)
log_ai_tool_update(@ai_tool, initial_attributes)
render_serialized(@ai_tool, AiCustomToolSerializer)
else
render_json_error @ai_tool
@@ -45,15 +41,7 @@ module DiscourseAi
end
def destroy
tool_logger_details = {
tool_id: @ai_tool.id,
name: @ai_tool.name,
tool_name: @ai_tool.tool_name,
subject: @ai_tool.name,
}
if @ai_tool.destroy
log_ai_tool_deletion(tool_logger_details)
head :no_content
else
render_json_error @ai_tool
@@ -108,60 +96,6 @@ module DiscourseAi
)
.except(:rag_uploads)
end
def ai_tool_logger_fields
{
name: {
},
tool_name: {
},
description: {
},
summary: {
},
enabled: {
},
rag_chunk_tokens: {
},
rag_chunk_overlap_tokens: {
},
rag_llm_model_id: {
},
script: {
type: :large_text,
},
parameters: {
type: :large_text,
},
}
end
def log_ai_tool_creation(ai_tool)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { tool_id: ai_tool.id, subject: ai_tool.name }
entity_details[:parameter_count] = ai_tool.parameters.size if ai_tool.parameters.present?
logger.log_creation("tool", ai_tool, ai_tool_logger_fields, entity_details)
end
def log_ai_tool_update(ai_tool, initial_attributes)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
entity_details = { tool_id: ai_tool.id, subject: ai_tool.name }
logger.log_update(
"tool",
ai_tool,
initial_attributes,
ai_tool_logger_fields,
entity_details,
)
end
def log_ai_tool_deletion(tool_details)
logger = DiscourseAi::Utils::AiStaffActionLogger.new(current_user)
logger.log_deletion("tool", tool_details)
end
end
end
end
@@ -1,124 +0,0 @@
# frozen_string_literal: true
module DiscourseAi
module AiBot
class ArtifactKeyValuesController < ::ApplicationController
requires_plugin DiscourseAi::PLUGIN_NAME
before_action :ensure_logged_in, only: %i[set destroy]
before_action :find_artifact
PER_PAGE_MAX = 100
def index
page = index_params[:page].to_i
page = 1 if page < 1
per_page = index_params[:per_page].to_i
per_page = PER_PAGE_MAX if per_page < 1 || per_page > PER_PAGE_MAX
query = build_index_query
total_count = query.count
key_values =
query
.includes(:user)
.order(:user_id, :key, :created_at)
.offset((page - 1) * per_page)
.limit(per_page + 1)
has_more = key_values.length > per_page
key_values = key_values.first(per_page) if has_more
render json: {
key_values:
ActiveModel::ArraySerializer.new(
key_values,
each_serializer: AiArtifactKeyValueSerializer,
keys_only: params[:keys_only] == "true",
).as_json,
has_more: has_more,
total_count: total_count,
users:
key_values
.map { |kv| kv.user }
.uniq
.map { |u| BasicUserSerializer.new(u, root: nil).as_json },
}
end
def destroy
if params[:key].blank?
render json: { error: "Key parameter is required" }, status: :bad_request
return
end
key_value = @artifact.key_values.find_by(user_id: current_user.id, key: params[:key])
if key_value.nil?
render json: { error: "Key not found" }, status: :not_found
elsif key_value.destroy
head :ok
else
render json: { errors: key_value.errors.full_messages }, status: :unprocessable_entity
end
end
def set
key_value =
@artifact.key_values.find_or_initialize_by(
user: current_user,
key: key_value_params[:key],
)
key_value.assign_attributes(key_value_params.except(:key))
if key_value.save
render json: AiArtifactKeyValueSerializer.new(key_value).as_json
else
render json: { errors: key_value.errors.full_messages }, status: :unprocessable_entity
end
end
private
def key_value_params
params.permit(:key, :value, :public)
end
def index_params
@index_params ||= params.permit(:page, :per_page, :key, :keys_only, :all_users)
end
def build_index_query
query = @artifact.key_values
query =
if current_user&.admin?
query
elsif current_user
query.where("user_id = ? OR public = true", current_user.id)
else
query.where(public: true)
end
query = query.where("key = ?", index_params[:key]) if index_params[:key].present?
if index_params[:all_users].to_s != "true"
if current_user
query = query.where(user_id: current_user.id)
else
query = query.where("1 = 0")
end
end
query
end
def find_artifact
@artifact = AiArtifact.find_by(id: params[:artifact_id])
raise Discourse::NotFound if !@artifact
raise Discourse::NotFound if [email protected]? && guardian.anonymous?
raise Discourse::NotFound if [email protected]? && !guardian.can_see?(@artifact.post)
end
end
end
end
File diff suppressed because it is too large Load Diff
@@ -8,7 +8,7 @@ module DiscourseAi
before_action :require_site_settings!
skip_before_action :preload_json, :check_xhr, only: %i[show asset]
skip_before_action :redirect_to_login_if_required, :verify_authenticity_token, only: %i[asset]
skip_before_action :verify_authenticity_token, only: ["asset"]
def create
ensure_allowed_create!
@@ -25,24 +25,25 @@ module DiscourseAi
input = get_text_param!
force_default_locale = params[:force_default_locale] || false
raise Discourse::InvalidParameters.new(:mode) if params[:mode].blank?
prompt = CompletionPrompt.find_by(id: params[:mode])
if params[:mode] == DiscourseAi::AiHelper::Assistant::CUSTOM_PROMPT
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]
end
if params[:mode] == DiscourseAi::AiHelper::Assistant::ILLUSTRATE_POST
return suggest_thumbnails(input)
end
return suggest_thumbnails(input) if prompt.id == CompletionPrompt::ILLUSTRATE_POST
hijack do
render json:
DiscourseAi::AiHelper::Assistant.new.generate_and_send_prompt(
params[:mode],
prompt,
input,
current_user,
force_default_locale: force_default_locale,
custom_prompt: params[:custom_prompt],
),
status: 200
end
@@ -59,10 +60,13 @@ module DiscourseAi
input = get_text_param!
end
prompt = CompletionPrompt.enabled_by_name("generate_titles")
raise Discourse::InvalidParameters.new(:mode) if !prompt
hijack do
render json:
DiscourseAi::AiHelper::Assistant.new.generate_and_send_prompt(
DiscourseAi::AiHelper::Assistant::GENERATE_TITLES,
prompt,
input,
current_user,
),
@@ -111,28 +115,23 @@ module DiscourseAi
location = params[:location]
raise Discourse::InvalidParameters.new(:location) if !location
raise Discourse::InvalidParameters.new(:mode) if params[:mode].blank?
if params[:mode] == DiscourseAi::AiHelper::Assistant::ILLUSTRATE_POST
return suggest_thumbnails(input)
end
prompt = CompletionPrompt.find_by(id: params[:mode])
if params[:mode] == DiscourseAi::AiHelper::Assistant::CUSTOM_PROMPT
raise Discourse::InvalidParameters.new(:mode) if !prompt || !prompt.enabled?
return suggest_thumbnails(input) if prompt.id == CompletionPrompt::ILLUSTRATE_POST
if prompt.id == CompletionPrompt::CUSTOM_PROMPT
raise Discourse::InvalidParameters.new(:custom_prompt) if params[:custom_prompt].blank?
end
# to stream we must have an appropriate client_id
# otherwise we may end up streaming the data to the wrong client
raise Discourse::InvalidParameters.new(:client_id) if params[:client_id].blank?
if location == "composer"
Jobs.enqueue(
:stream_composer_helper,
user_id: current_user.id,
text: text,
prompt: params[:mode],
prompt: prompt.name,
custom_prompt: params[:custom_prompt],
force_default_locale: params[:force_default_locale] || false,
client_id: params[:client_id],
)
else
post_id = get_post_param!
@@ -145,9 +144,8 @@ module DiscourseAi
post_id: post.id,
user_id: current_user.id,
text: text,
prompt: params[:mode],
prompt: prompt.name,
custom_prompt: params[:custom_prompt],
client_id: params[:client_id],
)
end
+1 -1
View File
@@ -15,7 +15,7 @@ module ::Jobs
bot = DiscourseAi::Personas::Bot.as(bot_user, persona: persona.new)
DiscourseAi::AiBot::Playground.new(bot).reply_to(post, feature_name: "bot")
DiscourseAi::AiBot::Playground.new(bot).reply_to(post)
rescue DiscourseAi::Personas::Bot::BOT_NOT_FOUND
Rails.logger.warn(
"Bot not found for post #{post.id} - perhaps persona was deleted or bot was disabled",
-60
View File
@@ -1,60 +0,0 @@
# frozen_string_literal: true
module Jobs
class DetectTranslatePost < ::Jobs::Base
cluster_concurrency 1
sidekiq_options retry: false
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
return if args[:post_id].blank?
post = Post.find_by(id: args[:post_id])
return if post.blank? || post.raw.blank? || post.deleted_at.present? || post.user_id <= 0
topic = post.topic
return if topic.blank?
if SiteSetting.ai_translation_backfill_limit_to_public_content
return if topic.category&.read_restricted? || topic.archetype == Archetype.private_message
else
if topic.archetype == Archetype.private_message &&
!TopicAllowedGroup.exists?(topic_id: topic.id)
return
end
end
# the user may fill locale in manually
if (detected_locale = post.locale).blank?
begin
detected_locale = DiscourseAi::Translation::PostLocaleDetector.detect_locale(post)
rescue FinalDestination::SSRFDetector::LookupFailedError
# this job is non-critical
# the backfill job will handle failures
return
end
end
locales = SiteSetting.content_localization_supported_locales.split("|")
return if locales.blank?
locales.each do |locale|
next if locale == detected_locale
next if post.post_localizations.exists?(locale:)
begin
DiscourseAi::Translation::PostLocalizer.localize(post, locale)
rescue FinalDestination::SSRFDetector::LookupFailedError
# do nothing, there are too many sporadic lookup failures
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to translate post #{post.id} to #{locale}: #{e.message}",
)
end
end
MessageBus.publish("/topic/#{post.topic_id}", type: :localized, id: post.id)
end
end
end
@@ -1,58 +0,0 @@
# frozen_string_literal: true
module Jobs
class DetectTranslateTopic < ::Jobs::Base
cluster_concurrency 1
sidekiq_options retry: false
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
return if args[:topic_id].blank?
topic = Topic.find_by(id: args[:topic_id])
if topic.blank? || topic.title.blank? || topic.deleted_at.present? || topic.user_id <= 0
return
end
if SiteSetting.ai_translation_backfill_limit_to_public_content
return if topic.category&.read_restricted? || topic.archetype == Archetype.private_message
else
if topic.archetype == Archetype.private_message &&
!TopicAllowedGroup.exists?(topic_id: topic.id)
return
end
end
if (detected_locale = topic.locale).blank?
begin
detected_locale = DiscourseAi::Translation::TopicLocaleDetector.detect_locale(topic)
rescue FinalDestination::SSRFDetector::LookupFailedError
# this job is non-critical
# the backfill job will handle failures
return
end
end
locales = SiteSetting.content_localization_supported_locales.split("|")
return if locales.blank?
locales.each do |locale|
next if locale == detected_locale
next if topic.topic_localizations.exists?(locale:)
begin
DiscourseAi::Translation::TopicLocalizer.localize(topic, locale)
rescue FinalDestination::SSRFDetector::LookupFailedError
# do nothing, there are too many sporadic lookup failures
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to translate topic #{topic.id} to #{locale}: #{e.message}",
)
end
end
MessageBus.publish("/topic/#{topic.id}", type: :localized, id: 1)
end
end
end
@@ -1,70 +0,0 @@
# frozen_string_literal: true
module Jobs
class GenerateInferredConcepts < ::Jobs::Base
sidekiq_options queue: "low"
# Process items to generate new concepts
#
# @param args [Hash] Contains job arguments
# @option args [String] :item_type Required - Type of items to process ('topics' or 'posts')
# @option args [Array<Integer>] :item_ids Required - List of item IDs to process
# @option args [Integer] :batch_size (100) Number of items to process in each batch
# @option args [Boolean] :match_only (false) Only match against existing concepts without generating new ones
def execute(args = {})
return if args[:item_ids].blank? || args[:item_type].blank?
if %w[topics posts].exclude?(args[:item_type])
Rails.logger.error("Invalid item_type for GenerateInferredConcepts: #{args[:item_type]}")
return
end
# Process items in smaller batches to avoid memory issues
batch_size = args[:batch_size] || 100
# Get the list of item IDs
item_ids = args[:item_ids]
match_only = args[:match_only] || false
# Process items in batches
item_ids.each_slice(batch_size) do |batch_item_ids|
process_batch(batch_item_ids, args[:item_type], match_only)
end
end
private
def process_batch(item_ids, item_type, match_only)
klass = item_type.singularize.classify.constantize
items = klass.where(id: item_ids)
manager = DiscourseAi::InferredConcepts::Manager.new
items.each do |item|
begin
process_item(item, item_type, match_only, manager)
rescue => e
Rails.logger.error(
"Error generating concepts from #{item_type.singularize} #{item.id}: #{e.message}\n#{e.backtrace.join("\n")}",
)
end
end
end
def process_item(item, item_type, match_only, manager)
# Use the Manager method that handles both identifying and creating concepts
if match_only
if item_type == "topics"
manager.match_topic_to_concepts(item)
else # posts
manager.match_post_to_concepts(item)
end
else
if item_type == "topics"
manager.generate_concepts_from_topic(item)
else # posts
manager.generate_concepts_from_post(item)
end
end
end
end
end
-56
View File
@@ -1,56 +0,0 @@
# frozen_string_literal: true
module Jobs
class LocalizeCategories < ::Jobs::Base
cluster_concurrency 1
sidekiq_options retry: false
BATCH_SIZE = 50
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
locales = SiteSetting.content_localization_supported_locales.split("|")
return if locales.blank?
cat_id = args[:from_category_id] || Category.order(:id).first&.id
last_id = nil
categories =
Category.where("id >= ? AND locale IS NOT NULL", cat_id).order(:id).limit(BATCH_SIZE)
return if categories.empty?
categories.each do |category|
if SiteSetting.ai_translation_backfill_limit_to_public_content && category.read_restricted?
last_id = category.id
next
end
locales.each do |locale|
localization = category.category_localizations.find_by(locale:)
if locale == category.locale && localization
localization.destroy
else
next if locale == category.locale
begin
DiscourseAi::Translation::CategoryLocalizer.localize(category, locale)
rescue FinalDestination::SSRFDetector::LookupFailedError
# do nothing, there are too many sporadic lookup failures
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to translate category #{category.id} to #{locale}: #{e.message}",
)
end
end
end
last_id = category.id
end
if categories.size == BATCH_SIZE
Jobs.enqueue_in(10.seconds, :localize_categories, from_category_id: last_id + 1)
end
end
end
end
-78
View File
@@ -1,78 +0,0 @@
# frozen_string_literal: true
module Jobs
class LocalizePosts < ::Jobs::Base
cluster_concurrency 1
sidekiq_options retry: false
BATCH_SIZE = 50
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
locales = SiteSetting.content_localization_supported_locales.split("|")
return if locales.blank?
limit = args[:limit] || BATCH_SIZE
locales.each do |locale|
posts =
Post
.joins(
"LEFT JOIN post_localizations pl ON pl.post_id = posts.id AND pl.locale = #{ActiveRecord::Base.connection.quote(locale)}",
)
.where(deleted_at: nil)
.where("posts.user_id > 0")
.where.not(raw: [nil, ""])
.where.not(locale: nil)
.where.not(locale: locale)
.where("pl.id IS NULL")
posts = posts.joins(:topic)
if SiteSetting.ai_translation_backfill_limit_to_public_content
# exclude all PMs
# and only include posts from public categories
posts =
posts
.where.not(topics: { archetype: Archetype.private_message })
.where(topics: { category_id: Category.where(read_restricted: false).select(:id) })
else
# all regular topics, and group PMs
posts =
posts.where(
"topics.archetype != ? OR topics.id IN (SELECT topic_id FROM topic_allowed_groups)",
Archetype.private_message,
)
end
if SiteSetting.ai_translation_backfill_max_age_days > 0
posts =
posts.where(
"posts.created_at > ?",
SiteSetting.ai_translation_backfill_max_age_days.days.ago,
)
end
posts = posts.order(updated_at: :desc).limit(limit)
next if posts.empty?
posts.each do |post|
begin
DiscourseAi::Translation::PostLocalizer.localize(post, locale)
rescue FinalDestination::SSRFDetector::LookupFailedError
# do nothing, there are too many sporadic lookup failures
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to translate post #{post.id} to #{locale}: #{e.message}",
)
end
end
DiscourseAi::Translation::VerboseLogger.log("Translated #{posts.size} posts to #{locale}")
end
end
end
end
-75
View File
@@ -1,75 +0,0 @@
# frozen_string_literal: true
module Jobs
class LocalizeTopics < ::Jobs::Base
cluster_concurrency 1
sidekiq_options retry: false
BATCH_SIZE = 50
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
locales = SiteSetting.content_localization_supported_locales.split("|")
return if locales.blank?
limit = args[:limit] || BATCH_SIZE
locales.each do |locale|
topics =
Topic
.joins(
"LEFT JOIN topic_localizations tl ON tl.topic_id = topics.id AND tl.locale = #{ActiveRecord::Base.connection.quote(locale)}",
)
.where(deleted_at: nil)
.where("topics.user_id > 0")
.where.not(locale: nil)
.where.not(locale: locale)
.where("tl.id IS NULL")
if SiteSetting.ai_translation_backfill_limit_to_public_content
# exclude all PMs
# and only include posts from public categories
topics =
topics
.where.not(archetype: Archetype.private_message)
.where(category_id: Category.where(read_restricted: false).select(:id))
else
# all regular topics, and group PMs
topics =
topics.where(
"topics.archetype != ? OR topics.id IN (SELECT topic_id FROM topic_allowed_groups)",
Archetype.private_message,
)
end
if SiteSetting.ai_translation_backfill_max_age_days > 0
topics =
topics.where(
"topics.created_at > ?",
SiteSetting.ai_translation_backfill_max_age_days.days.ago,
)
end
topics = topics.order(updated_at: :desc).limit(limit)
next if topics.empty?
topics.each do |topic|
begin
DiscourseAi::Translation::TopicLocalizer.localize(topic, locale)
rescue FinalDestination::SSRFDetector::LookupFailedError
# do nothing, there are too many sporadic lookup failures
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to translate topic #{topic.id} to #{locale}: #{e.message}",
)
end
end
DiscourseAi::Translation::VerboseLogger.log("Translated #{topics.size} topics to #{locale}")
end
end
end
end
+6 -5
View File
@@ -8,18 +8,19 @@ module Jobs
return unless args[:prompt]
return unless user = User.find_by(id: args[:user_id])
return unless args[:text]
return unless args[:client_id]
helper_mode = args[:prompt]
prompt = CompletionPrompt.enabled_by_name(args[:prompt])
if prompt.id == CompletionPrompt::CUSTOM_PROMPT
prompt.custom_instruction = args[:custom_prompt]
end
DiscourseAi::AiHelper::Assistant.new.stream_prompt(
helper_mode,
prompt,
args[:text],
user,
"/discourse-ai/ai-helper/stream_composer_suggestion",
force_default_locale: args[:force_default_locale],
client_id: args[:client_id],
custom_prompt: args[:custom_prompt],
)
end
end
+10 -7
View File
@@ -14,12 +14,16 @@ module Jobs
return unless user.guardian.can_see?(post)
helper_mode = args[:prompt]
prompt = CompletionPrompt.enabled_by_name(args[:prompt])
if helper_mode == DiscourseAi::AiHelper::Assistant::EXPLAIN
input = <<~TEXT.strip
<term>#{args[:text]}</term>
<context>#{post.raw}</context>
if prompt.id == CompletionPrompt::CUSTOM_PROMPT
prompt.custom_instruction = args[:custom_prompt]
end
if prompt.name == "explain"
input = <<~TEXT
<term>#{args[:text]}</term>
<context>#{post.raw}</context>
<topic>#{topic.title}</topic>
#{reply_to ? "<replyTo>#{reply_to.raw}</replyTo>" : nil}
TEXT
@@ -28,11 +32,10 @@ module Jobs
end
DiscourseAi::AiHelper::Assistant.new.stream_prompt(
helper_mode,
prompt,
input,
user,
"/discourse-ai/ai-helper/stream_suggestion/#{post.id}",
custom_prompt: args[:custom_prompt],
)
end
end
@@ -1,37 +0,0 @@
# frozen_string_literal: true
module Jobs
class CategoriesLocaleDetectionBackfill < ::Jobs::Scheduled
every 1.hour
sidekiq_options retry: false
cluster_concurrency 1
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
return if SiteSetting.ai_translation_backfill_rate == 0
categories = Category.where(locale: nil)
if SiteSetting.ai_translation_backfill_limit_to_public_content
categories = categories.where(read_restricted: false)
end
categories = categories.limit(SiteSetting.ai_translation_backfill_rate)
return if categories.empty?
categories.each do |category|
begin
DiscourseAi::Translation::CategoryLocaleDetector.detect_locale(category)
rescue FinalDestination::SSRFDetector::LookupFailedError
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to detect category #{category.id}'s locale: #{e.message}",
)
end
end
DiscourseAi::Translation::VerboseLogger.log("Detected #{categories.size} category locales")
end
end
end
@@ -1,16 +0,0 @@
# frozen_string_literal: true
module Jobs
class CategoryLocalizationBackfill < ::Jobs::Scheduled
every 12.hours
cluster_concurrency 1
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
return if SiteSetting.content_localization_supported_locales.blank?
Jobs.enqueue(:localize_categories)
end
end
end
@@ -1,87 +0,0 @@
# frozen_string_literal: true
module Jobs
class GenerateConceptsFromPopularItems < ::Jobs::Scheduled
every 1.day
# This job runs daily and generates new concepts from popular topics and posts
# It selects items based on engagement metrics and generates concepts from their content
def execute(_args)
return unless SiteSetting.inferred_concepts_enabled
process_popular_topics
process_popular_posts
end
private
def process_popular_topics
# Find candidate topics that are popular and don't have concepts yet
manager = DiscourseAi::InferredConcepts::Manager.new
candidates =
manager.find_candidate_topics(
limit: SiteSetting.inferred_concepts_daily_topics_limit || 20,
min_posts: SiteSetting.inferred_concepts_min_posts || 5,
min_likes: SiteSetting.inferred_concepts_min_likes || 10,
min_views: SiteSetting.inferred_concepts_min_views || 100,
created_after: SiteSetting.inferred_concepts_lookback_days.days.ago,
)
return if candidates.blank?
# Process candidate topics - first generate concepts, then match
Jobs.enqueue(
:generate_inferred_concepts,
item_type: "topics",
item_ids: candidates.map(&:id),
batch_size: 10,
)
if SiteSetting.inferred_concepts_background_match
# Schedule a follow-up job to match existing concepts
Jobs.enqueue_in(
1.hour,
:generate_inferred_concepts,
item_type: "topics",
item_ids: candidates.map(&:id),
batch_size: 10,
match_only: true,
)
end
end
def process_popular_posts
# Find candidate posts that are popular and don't have concepts yet
manager = DiscourseAi::InferredConcepts::Manager.new
candidates =
manager.find_candidate_posts(
limit: SiteSetting.inferred_concepts_daily_posts_limit || 30,
min_likes: SiteSetting.inferred_concepts_post_min_likes || 5,
exclude_first_posts: true,
created_after: SiteSetting.inferred_concepts_lookback_days.days.ago,
)
return if candidates.blank?
# Process candidate posts - first generate concepts, then match
Jobs.enqueue(
:generate_inferred_concepts,
item_type: "posts",
item_ids: candidates.map(&:id),
batch_size: 10,
)
if SiteSetting.inferred_concepts_background_match
# Schedule a follow-up job to match against existing concepts
Jobs.enqueue_in(
1.hour,
:generate_inferred_concepts,
item_type: "posts",
item_ids: candidates.map(&:id),
batch_size: 10,
match_only: true,
)
end
end
end
end
@@ -1,18 +0,0 @@
# frozen_string_literal: true
module Jobs
class PostLocalizationBackfill < ::Jobs::Scheduled
every 5.minutes
cluster_concurrency 1
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
return if SiteSetting.content_localization_supported_locales.blank?
return if SiteSetting.ai_translation_backfill_rate == 0
Jobs.enqueue(:localize_posts, limit: SiteSetting.ai_translation_backfill_rate)
end
end
end
@@ -1,56 +0,0 @@
# frozen_string_literal: true
module Jobs
class PostsLocaleDetectionBackfill < ::Jobs::Scheduled
every 5.minutes
sidekiq_options retry: false
cluster_concurrency 1
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
return if SiteSetting.ai_translation_backfill_rate == 0
posts =
Post
.where(locale: nil)
.where(deleted_at: nil)
.where("posts.user_id > 0")
.where.not(raw: [nil, ""])
if SiteSetting.ai_translation_backfill_limit_to_public_content
public_categories = Category.where(read_restricted: false).pluck(:id)
posts =
posts
.joins(:topic)
.where(topics: { category_id: public_categories })
.where(topics: { archetype: "regular" })
end
if SiteSetting.ai_translation_backfill_max_age_days > 0
posts =
posts.where(
"posts.created_at > ?",
SiteSetting.ai_translation_backfill_max_age_days.days.ago,
)
end
posts = posts.order(updated_at: :desc).limit(SiteSetting.ai_translation_backfill_rate)
return if posts.empty?
posts.each do |post|
begin
DiscourseAi::Translation::PostLocaleDetector.detect_locale(post)
rescue FinalDestination::SSRFDetector::LookupFailedError
# do nothing, there are too many sporadic lookup failures
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to detect post #{post.id}'s locale: #{e.message}",
)
end
end
DiscourseAi::Translation::VerboseLogger.log("Detected #{posts.size} post locales")
end
end
end
@@ -1,18 +0,0 @@
# frozen_string_literal: true
module Jobs
class TopicLocalizationBackfill < ::Jobs::Scheduled
every 5.minutes
cluster_concurrency 1
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
return if SiteSetting.content_localization_supported_locales.blank?
return if SiteSetting.ai_translation_backfill_rate == 0
Jobs.enqueue(:localize_topics, limit: SiteSetting.ai_translation_backfill_rate)
end
end
end
@@ -1,48 +0,0 @@
# frozen_string_literal: true
module Jobs
class TopicsLocaleDetectionBackfill < ::Jobs::Scheduled
every 5.minutes
sidekiq_options retry: false
cluster_concurrency 1
def execute(args)
return if !SiteSetting.discourse_ai_enabled
return if !SiteSetting.ai_translation_enabled
limit = SiteSetting.ai_translation_backfill_rate
return if limit == 0
topics = Topic.where(locale: nil, deleted_at: nil).where("topics.user_id > 0")
if SiteSetting.ai_translation_backfill_limit_to_public_content
topics = topics.where(category_id: Category.where(read_restricted: false).select(:id))
end
if SiteSetting.ai_translation_backfill_max_age_days > 0
topics =
topics.where(
"topics.created_at > ?",
SiteSetting.ai_translation_backfill_max_age_days.days.ago,
)
end
topics = topics.order(updated_at: :desc).limit(limit)
return if topics.empty?
topics.each do |topic|
begin
DiscourseAi::Translation::TopicLocaleDetector.detect_locale(topic)
rescue FinalDestination::SSRFDetector::LookupFailedError
# do nothing, there are too many sporadic lookup failures
rescue => e
DiscourseAi::Translation::VerboseLogger.log(
"Failed to detect topic #{topic.id}'s locale: #{e.message}",
)
end
end
DiscourseAi::Translation::VerboseLogger.log("Detected #{topics.size} topic locales")
end
end
end

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