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Appended "Reply in the user's language." to obtain the answer in the user's language. Fixes: https://linear.app/chatwoot/issue/CW-1735/chore-use-account-language-for-the-prompts Co-authored-by: Sojan <sojan@pepalo.com>
110 lines
4.3 KiB
Ruby
110 lines
4.3 KiB
Ruby
require 'rails_helper'
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RSpec.describe Integrations::Openai::ProcessorService do
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subject { described_class.new(hook: hook, event: event) }
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let(:account) { create(:account) }
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let(:hook) { create(:integrations_hook, :openai, account: account) }
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let(:expected_headers) { { 'Authorization' => "Bearer #{hook.settings['api_key']}" } }
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let(:openai_response) do
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{
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'choices' => [
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{
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'message' => {
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'content' => 'This is a reply from openai.'
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}
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}
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]
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}.to_json
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end
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let!(:conversation) { create(:conversation, account: account) }
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let!(:customer_message) { create(:message, account: account, conversation: conversation, message_type: :incoming, content: 'hello agent') }
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let!(:agent_message) { create(:message, account: account, conversation: conversation, message_type: :outgoing, content: 'hello customer') }
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describe '#perform' do
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context 'when event name is rephrase' do
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let(:event) { { 'name' => 'rephrase', 'data' => { 'tone' => 'friendly', 'content' => 'This is a test message' } } }
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it 'returns the rephrased message using the tone in data' do
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request_body = {
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'model' => 'gpt-3.5-turbo',
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'messages' => [
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{
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'role' => 'system',
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'content' => 'You are a helpful support agent. ' \
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'Please rephrase the following response to a more ' \
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"#{event['data']['tone']} tone. Reply in the user's language."
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},
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{ 'role' => 'user', 'content' => event['data']['content'] }
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]
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}.to_json
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stub_request(:post, 'https://api.openai.com/v1/chat/completions')
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.with(body: request_body, headers: expected_headers)
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.to_return(status: 200, body: openai_response, headers: {})
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result = subject.perform
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expect(result).to eq('This is a reply from openai.')
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end
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end
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context 'when event name is reply_suggestion' do
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let(:event) { { 'name' => 'reply_suggestion', 'data' => { 'conversation_display_id' => conversation.display_id } } }
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it 'returns the suggested reply' do
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request_body = {
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'model' => 'gpt-3.5-turbo',
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'messages' => [
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{ role: 'system',
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content: 'Please suggest a reply to the following conversation between support agents and customer. Reply in the user\'s language.' },
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{ role: 'user', content: customer_message.content },
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{ role: 'assistant', content: agent_message.content }
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]
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}.to_json
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# Update the stub_request with the correct messages order
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stub_request(:post, 'https://api.openai.com/v1/chat/completions')
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.with(body: request_body, headers: expected_headers)
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.to_return(status: 200, body: openai_response, headers: {})
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result = subject.perform
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expect(result).to eq('This is a reply from openai.')
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end
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end
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context 'when event name is summarize' do
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let(:event) { { 'name' => 'summarize', 'data' => { 'conversation_display_id' => conversation.display_id } } }
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let(:conversation_messages) do
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"Customer #{customer_message.sender.name} : #{customer_message.content}\nAgent #{agent_message.sender.name} : #{agent_message.content}\n"
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end
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it 'returns the summarized message' do
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request_body = {
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'model' => 'gpt-3.5-turbo',
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'messages' => [
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{ 'role' => 'system',
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'content' => 'Please summarize the key points from the following conversation between support agents and customer ' \
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'as bullet points for the next support agent looking into the conversation. Reply in the user\'s language.' },
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{ 'role' => 'user', 'content' => conversation_messages }
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]
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}.to_json
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stub_request(:post, 'https://api.openai.com/v1/chat/completions')
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.with(body: request_body, headers: expected_headers)
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.to_return(status: 200, body: openai_response, headers: {})
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result = subject.perform
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expect(result).to eq('This is a reply from openai.')
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end
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end
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context 'when event name is not one that can be processed' do
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let(:event) { { 'name' => 'unknown', 'data' => {} } }
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it 'returns nil' do
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expect(subject.perform).to be_nil
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end
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end
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end
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end
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