41e269e873
Added a new event conversation_bot_resolved and added a job to auto resolve the bot conversations if there was no activity for the last 1 hour.
83 lines
2.2 KiB
Ruby
83 lines
2.2 KiB
Ruby
class ResponseBot::ResponseBuilderJob < ApplicationJob
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queue_as :default
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def perform(response_document)
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reset_previous_responses(response_document)
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data = prepare_data(response_document)
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response = post_request(data)
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create_responses(response, response_document)
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end
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private
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def reset_previous_responses(response_document)
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response_document.responses.destroy_all
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end
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def prepare_data(response_document)
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{
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model: 'gpt-3.5-turbo',
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response_format: { type: 'json_object' },
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messages: [
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{
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role: 'system',
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content: system_message_content
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},
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{
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role: 'user',
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content: response_document.content
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}
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]
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}
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end
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def system_message_content
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<<~SYSTEM_MESSAGE_CONTENT
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You are a content writer looking to convert user content into short FAQs which can be added to your website's helper centre.
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Format the webpage content provided in the message to FAQ format mentioned below in the json
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Ensure that you only generate faqs from the information provider in the message.
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Ensure that output is always valid json.
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If no match is available, return an empty JSON.
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```json
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{faqs: [{question: '', answer: ''}]
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```
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SYSTEM_MESSAGE_CONTENT
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end
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def post_request(data)
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headers = prepare_headers
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HTTParty.post(
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'https://api.openai.com/v1/chat/completions',
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headers: headers,
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body: data.to_json
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)
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end
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def prepare_headers
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{
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'Content-Type' => 'application/json',
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'Authorization' => "Bearer #{ENV.fetch('OPENAI_API_KEY')}"
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}
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end
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def create_responses(response, response_document)
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response_body = JSON.parse(response.body)
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content = response_body.dig('choices', 0, 'message', 'content')
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return if content.nil?
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faqs = JSON.parse(content.strip).fetch('faqs', [])
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faqs.each do |faq|
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response_document.responses.create!(
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question: faq['question'],
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answer: faq['answer'],
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response_source: response_document.response_source
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)
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end
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rescue JSON::ParserError => e
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Rails.logger.error "Error in parsing GPT processed response document : #{e.message}"
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end
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end
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