Merge branch 'feature/cw-7495-api' into feature/cw-7496-frontend
This commit is contained in:
@@ -0,0 +1,57 @@
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require 'rails_helper'
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RSpec.describe Captain::Llm::ConversationFaqJob, type: :job do
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let(:account) { create(:account) }
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let(:inbox) { create(:inbox, account: account) }
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let(:assistant) { create(:captain_assistant, account: account, config: { feature_faq: true }) }
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let(:conversation) { create(:conversation, account: account, inbox: inbox, first_reply_created_at: Time.zone.now) }
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let(:faq_service) { instance_double(Captain::Llm::ConversationFaqService, generate_suggestions: []) }
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let(:lock_manager) { instance_double(Redis::LockManager, lock: true, unlock: true) }
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let(:lock_key) { "CAPTAIN_CONVERSATION_FAQ_LOCK::#{assistant.id}::en" }
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before do
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create(:captain_inbox, inbox: inbox, captain_assistant: assistant)
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conversation.update!(status: :resolved)
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allow(Redis::LockManager).to receive(:new).and_return(lock_manager)
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allow(Captain::Llm::ConversationFaqService).to receive(:new).and_return(faq_service)
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end
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describe '#perform' do
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it 'uses the assistant captured when the job was enqueued' do
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replacement_assistant = create(:captain_assistant, account: account, config: { feature_faq: true })
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inbox.captain_inbox.update!(captain_assistant: replacement_assistant)
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expect(inbox.reload.captain_assistant).to eq(replacement_assistant)
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expect(Captain::Llm::ConversationFaqService).to receive(:new)
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.with(assistant, conversation)
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.and_return(faq_service)
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expect(faq_service).to receive(:generate_suggestions)
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described_class.perform_now(conversation, assistant)
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end
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it 'locks FAQ grouping for the assistant and normalized language' do
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conversation.update!(additional_attributes: { conversation_language: 'pt-BR' })
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expected_key = "CAPTAIN_CONVERSATION_FAQ_LOCK::#{assistant.id}::pt"
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expect(lock_manager).to receive(:lock).with(expected_key, described_class::LOCK_TIMEOUT).and_return(true)
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expect(lock_manager).to receive(:unlock).with(expected_key)
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described_class.perform_now(conversation, assistant)
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end
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context 'when another job holds the grouping lock' do
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before do
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allow(lock_manager).to receive(:lock).with(lock_key, described_class::LOCK_TIMEOUT).and_return(false)
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end
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it 'does not generate suggestions concurrently' do
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expect(Captain::Llm::ConversationFaqService).not_to receive(:new)
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expect do
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described_class.new.perform(conversation, assistant)
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end.to raise_error(MutexApplicationJob::LockAcquisitionError)
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end
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end
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end
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end
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@@ -43,7 +43,7 @@ describe CaptainListener do
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end
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it 'enqueues FAQ suggestion generation' do
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expect(Captain::Llm::ConversationFaqJob).to receive(:perform_later).with(conversation)
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expect(Captain::Llm::ConversationFaqJob).to receive(:perform_later).with(conversation, assistant)
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expect(Captain::Llm::ContactNotesService).not_to receive(:new)
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listener.conversation_resolved(event)
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@@ -0,0 +1,13 @@
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require 'rails_helper'
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RSpec.describe Captain::Llm::ConversationFaqPromptsService do
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describe '.generator' do
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it 'allows a complete FAQ answer to use several related agent messages' do
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prompt = described_class.generator
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expect(prompt).to include('message or messages that together provide a complete public answer')
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expect(prompt).to include('Combine facts only across related agent messages')
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expect(prompt).not_to include('no single human agent message')
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end
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end
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end
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@@ -193,6 +193,117 @@ RSpec.describe Captain::Llm::ConversationFaqService do
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end.to change(Captain::FaqObservation.discarded, :count).by(2)
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expect(captain_assistant.faq_suggestions.count).to be_zero
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end
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it 'uses the conversation FAQ matching feature model' do
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expect(RubyLLM).to receive(:chat).with(
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model: Llm::Models.default_model_for('conversation_faq_matching')
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).at_least(:once).and_return(mock_chat)
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service.generate_suggestions
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end
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it 'uses the account model override for conversation FAQ matching' do
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conversation.account.update!(captain_models: { 'conversation_faq_matching' => 'gpt-5-mini' })
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expect(RubyLLM).to receive(:chat).with(model: 'gpt-5-mini').at_least(:once).and_return(mock_chat)
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service.generate_suggestions
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end
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it 'resolves the matching feature model from the conversation account' do
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allow(Llm::FeatureRouter).to receive(:resolve).and_call_original
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expect(Llm::FeatureRouter).to receive(:resolve).with(
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feature: 'conversation_faq_matching',
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account: conversation.account
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).and_call_original
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service.generate_suggestions
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end
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end
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context 'when FAQ comparison cannot be completed' do
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let(:existing_response) do
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create(:captain_assistant_response, assistant: captain_assistant, account: captain_assistant.account,
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question: 'Similar question', answer: 'Similar answer', embedding: embedding_one)
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end
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let(:comparison_response) { instance_double(RubyLLM::Message, content: comparison_response_content) }
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let(:comparison_response_content) { 'invalid json' }
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before do
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existing_response
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allow(embedding_service).to receive(:get_embedding).and_return(embedding_one)
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allow(mock_chat).to receive(:ask) do |input|
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input.start_with?('{') ? comparison_response : mock_response
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end
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allow(Rails.logger).to receive(:error)
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end
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it 'raises when the comparison response is malformed' do
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expect do
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service.generate_suggestions
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end.to raise_error(JSON::ParserError)
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expect(captain_assistant.faq_suggestions.count).to be_zero
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end
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context 'when the response omits the comparison result' do
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let(:comparison_response_content) { {}.to_json }
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it 'raises instead of treating the response as a non-match' do
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expect do
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service.generate_suggestions
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end.to raise_error(KeyError)
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expect(captain_assistant.faq_suggestions.count).to be_zero
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end
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end
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context 'when the comparison result is not a boolean' do
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let(:comparison_response_content) { { same_faq: 'false' }.to_json }
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it 'raises instead of treating the response as a non-match' do
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expect do
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service.generate_suggestions
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end.to raise_error(TypeError, 'same_faq must be a boolean')
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expect(captain_assistant.faq_suggestions.count).to be_zero
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end
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end
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context 'when the comparison provider fails' do
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before do
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allow(mock_chat).to receive(:ask) do |input|
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raise RubyLLM::Error.new(nil, 'API Error') if input.start_with?('{')
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mock_response
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end
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end
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it 'raises instead of treating the failure as a non-match' do
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expect do
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service.generate_suggestions
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end.to raise_error(RubyLLM::Error)
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expect(captain_assistant.faq_suggestions.count).to be_zero
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end
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end
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end
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context 'when the classifier confirms a non-match' do
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let(:sample_faqs) { [{ 'question' => 'How can I use the feature?', 'answer' => 'Enable it in settings.' }] }
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let(:match_response) { instance_double(RubyLLM::Message, content: { same_faq: false }.to_json) }
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before do
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create(:captain_assistant_response, assistant: captain_assistant, account: captain_assistant.account,
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question: 'How do I enable the feature?', answer: 'Turn it on in settings.',
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embedding: embedding_one)
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allow(embedding_service).to receive(:get_embedding).and_return(embedding_one)
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allow(mock_chat).to receive(:ask) do |input|
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input.start_with?('{') ? match_response : mock_response
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end
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end
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it 'creates a new suggestion' do
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expect do
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service.generate_suggestions
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end.to change(captain_assistant.faq_suggestions, :count).by(1)
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end
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end
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context 'when an open suggestion is the same FAQ' do
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@@ -26,9 +26,10 @@ RSpec.describe Llm::Models do
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end
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end
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it 'routes document and conversation FAQ generation independently' do
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it 'routes each FAQ operation independently' do
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expect(described_class.default_model_for('document_faq_generation')).to eq('gpt-4.1-mini')
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expect(described_class.default_model_for('conversation_faq_generation')).to eq('gpt-5.2')
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expect(described_class.default_model_for('conversation_faq_matching')).to eq('gpt-4.1-mini')
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end
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end
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