Class: NeuronAiChatbot::LocalAiService

Inherits:
Object
  • Object
show all
Defined in:
app/services/neuron_ai_chatbot/local_ai_service.rb

Class Method Summary collapse

Class Method Details

.build_prompt(user_input, catalog) ⇒ Object 



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# File 'app/services/neuron_ai_chatbot/local_ai_service.rb', line 73

def self.build_prompt(user_input, catalog)
  extra = NeuronAiChatbot.additional_prompt_rules.to_s.strip
  extra_block = extra.present? ? "\n#{extra}\n" : ""

  <<~PROMPT
    Map the user request to one API call. Reply with JSON only:
    {"endpoint":"<path>","method":"GET|POST|PUT|DELETE","params":{},"operation":"list|count"}

    Allowed APIs:
    #{catalog}

    User: #{user_input}

    Rules:
    - Use ONLY the allowed endpoints and exact parameter names.
    - "endpoint" MUST be only the path (e.g. "/resources"). DO NOT include the method in the endpoint field.
    - "method" MUST be exactly the method specified for the chosen endpoint in the Allowed APIs list. Do NOT mix endpoints and methods.
    - If the user asks to "count" or "how many", "operation" MUST be "count". Otherwise, "operation" MUST be "list".
    - Extract relevant filters from the user request and map them to the allowed parameters in "params".
    - params should only include values explicitly mentioned by the user. Do not invent empty strings.
    - If the user asks for the next page, increment the "page" parameter and ensure operation is "list".#{extra_block}
  PROMPT
end

.compact_api_catalog(user_input) ⇒ Object 



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# File 'app/services/neuron_ai_chatbot/local_ai_service.rb', line 97

def self.compact_api_catalog(user_input)
  catalog = NeuronAiChatbot.api_knowledge_array
  max_n = NeuronAiChatbot.max_endpoints_in_prompt.to_i
  max_n = 5 if max_n <= 0

  parts = user_input.to_s.split(/\nUser:\s*/)
  last_message = parts.pop.to_s.sub(/\AUser:\s*/, "").strip
  prior_history = parts.join(" ")

  stopwords = %w(find get list show me all with the a an and in from of for by)

  last_tokens = last_message.downcase.scan(/[a-z0-9_@.]+/)
  last_meaningful = last_tokens.reject { |t| stopwords.include?(t) || (t.length < 3 && t !~ /^[a-z]{2}$/) }

  prior_tokens = prior_history.downcase.scan(/[a-z0-9_@.]+/)
  prior_meaningful = prior_tokens.reject { |t| stopwords.include?(t) || (t.length < 3 && t !~ /^[a-z]{2}$/) }

  scored = catalog.map do |row|
    text = [row[:name], row[:endpoint], row[:description]].join(" ").downcase

    score = 0
    score += prior_meaningful.count { |t| text.include?(t) } * 1
    score += last_meaningful.count { |t| text.include?(t) } * 5

    score += 10 if last_meaningful.include?("create") && row[:method].to_s.upcase == "POST"
    score += 10 if last_meaningful.include?("update") && row[:method].to_s.upcase == "PUT"
    score += 10 if last_meaningful.include?("delete") && row[:method].to_s.upcase == "DELETE"

    [row, score]
  end

  top_rows = scored.sort_by { |_, score| -score }.map(&:first).first(max_n)

  top_rows.map do |row|
    req = Array(row[:required]).any? ? ", Required: [#{Array(row[:required]).join(', ')}]" : ""
    opt_params = row[:params] || row[:optional]
    opt = Array(opt_params).any? ? ", Optional: [#{Array(opt_params).join(', ')}]" : ""
    desc = row[:description].present? ? ". Description: #{row[:description]}" : ""
    "- endpoint: \"#{row[:endpoint]}\", method: \"#{row[:method].to_s.upcase}\"#{req}#{opt}#{desc}"
  end.join("\n")
end

.extract_json(text) ⇒ Object 



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# File 'app/services/neuron_ai_chatbot/local_ai_service.rb', line 139

def self.extract_json(text)
  clean_text = text.gsub(/\A```json\s+|\s+```\z/m, "").strip
  JSON.parse(clean_text)
rescue JSON::ParserError
  { "error" => "Invalid AI output", "raw" => text }
end

.parse(user_input) ⇒ Object 



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# File 'app/services/neuron_ai_chatbot/local_ai_service.rb', line 13

def self.parse(user_input)
  parts = user_input.to_s.split(/\nUser:\s*/)
  last_message = parts.pop.to_s.sub(/\AUser:\s*/, "").strip

  effective_input = if last_message.downcase.match?(/\b(next|page|more)\b/)
                      user_input
                    else
                      "User: #{last_message}"
                    end

  catalog = compact_api_catalog(effective_input)
  prompt = build_prompt(effective_input, catalog)

  body = {
    model:   NeuronAiChatbot.ollama_model,
    prompt:  prompt,
    stream:  false,
    format:  "json",
    options: {
      temperature: 0.0,
      num_predict: 512,
      num_ctx:     2048
    }
  }

  response = HTTParty.post(
    NeuronAiChatbot.ollama_url,
    headers:      { "Content-Type" => "application/json" },
    body:         body.to_json,
    read_timeout: 300,
    open_timeout: 10
  )

  if response.code != 200
    error_msg = response.parsed_response.is_a?(Hash) ? response.parsed_response["error"] : response.body
    return { "error" => "Ollama API Error (#{response.code})", "raw" => error_msg }
  end

  parsed = extract_json(response.parsed_response["response"].to_s)

  return parsed if parsed["error"].present?

  parsed["method"] = parsed["method"].presence || "GET"
  parsed["method"] = parsed["method"].to_s.upcase

  parts = user_input.to_s.split(/\nUser:\s*/)
  last_message = parts.pop.to_s.sub(/\AUser:\s*/, "").strip

  if last_message.downcase.match?(/\b(count|how many)\b/)
    parsed["operation"] = "count"
  else
    parsed["operation"] = parsed["operation"].presence || "list"
  end

  parsed["params"] = parsed["params"].is_a?(Hash) ? parsed["params"] : {}
  parsed
rescue StandardError => e
  { "error" => "AI model request failed", "raw" => e.message }
end

.run_chat(user_input) ⇒ Object 



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# File 'app/services/neuron_ai_chatbot/local_ai_service.rb', line 5

def self.run_chat(user_input)
  ai_output = parse(user_input)
  return [ai_output, nil] if ai_output["error"].present?

  api_response = ApiExecutor.call(ai_output)
  [ai_output, api_response]
end