iachat/spec/enterprise/integration/captain_semantic_memory_spec.rb

75 lines
3.2 KiB
Ruby

require 'rails_helper'
# rubocop:disable RSpec/DescribeClass
RSpec.describe 'Captain semantic memory integration' do
let(:account) { create(:account, custom_attributes: attrs) }
let(:attrs) { { 'captain_contact_memory_recall_enabled' => true } }
let(:assistant) { create(:captain_assistant, account: account) }
let(:contact) { create(:contact, account: account) }
let(:conversation) { create(:conversation, account: account, contact: contact) }
let(:runner) { Captain::Assistant::AgentRunnerService.new(assistant: assistant, conversation: conversation) }
before do
create(:captain_contact_memory, account: account, contact: contact, content: 'Prefere Stilo', embedding: Array.new(1536, 0.1))
allow(Captain::Llm::EmbeddingService).to receive(:new).and_return(
instance_double(Captain::Llm::EmbeddingService, get_embedding: Array.new(1536, 0.1))
)
end
it 'injects <memoria_cliente> block into system prompt when recall flag is on' do
result = runner.send(:build_system_prompt_with_memory, 'Hi there', 'base_system_prompt')
expect(result).to include('<memoria_cliente>')
expect(result).to include('base_system_prompt')
end
it 'skips injection when recall flag is off' do
account.update!(custom_attributes: {})
result = runner.send(:build_system_prompt_with_memory, 'Hi there', 'base_system_prompt')
expect(result).not_to include('<memoria_cliente>')
expect(result).to eq('base_system_prompt')
end
describe 'end-to-end learning and recall' do
let(:attrs) do
{
'captain_contact_memory_extraction_enabled' => true,
'captain_contact_memory_recall_enabled' => true
}
end
it 'learns from a resolved conversation and recalls in a new one' do
# 1. Old conversation — learning phase
old_conv = create(:conversation, account: account, contact: contact)
create(:message, conversation: old_conv, message_type: :incoming, content: 'quero sempre a Stilo com hidro')
create(:message, conversation: old_conv, message_type: :outgoing, content: 'combinado')
allow_any_instance_of(Captain::ContactMemories::ExtractionService).to receive(:call).and_return( # rubocop:disable RSpec/AnyInstance
[
{
memory_type: 'preferencia',
content: 'Prefere Stilo com hidro',
evidence: 'disse quero sempre a Stilo',
confidence: 0.95,
scope: 'global'
}
]
)
# Simulate conversation.resolved → extraction job
Captain::ContactMemories::ExtractFromConversationJob.perform_now(old_conv.id)
# Simulate embedding job completing (UpdateEmbeddingJob was enqueued but not run here)
last_memory = Captain::ContactMemory.where(content: 'Prefere Stilo com hidro').last
last_memory.update!(embedding: Array.new(1536, 0.1))
# 2. New conversation — recall phase
new_conv = create(:conversation, account: account, contact: contact)
new_runner = Captain::Assistant::AgentRunnerService.new(assistant: assistant, conversation: new_conv)
result = new_runner.send(:build_system_prompt_with_memory, 'oi, quero reservar', 'base_system_prompt')
expect(result).to include('Prefere Stilo com hidro')
end
end
end
# rubocop:enable RSpec/DescribeClass