# frozen_string_literal: true

require_relative "verification_strategy"
require_relative "verification_result"

module Agentic
  module Verification
    # Verifies task results using an LLM
    class LlmVerificationStrategy < VerificationStrategy
      # Initializes a new LlmVerificationStrategy
      # @param llm_client [LlmClient] The LLM client to use for verification
      # @param config [Hash] Configuration options for the strategy
      def initialize(llm_client, config = {})
        super(config)
        @llm_client = llm_client
      end

      # Verifies a task result using an LLM
      # @param task [Task] The task to verify
      # @param result [TaskResult] The result to verify
      # @return [VerificationResult] The verification result
      def verify(task, result)
        unless result.successful?
          return VerificationResult.new(
            task_id: task.id,
            verified: false,
            confidence: 0.0,
            messages: ["Task failed, skipping LLM verification"]
          )
        end

        # In a real implementation, we would send the task and result to the LLM
        # and analyze the LLM's assessment
        # For this stub, we'll simulate a response

        # Example verification prompt
        #   Task Description: #{task.description}
        #   Task Input: #{task.input.inspect}
        #   Task Result: #{result.output.inspect}
        #
        #   Verify if the result satisfies the task requirements.
        #   Consider correctness, completeness, and alignment with the task description.
        #   Provide your assessment with a boolean verdict (verified: true/false) and a confidence score (0.0-1.0).

        # In a real implementation, we would use the LLM client here
        # For this stub, we'll return a simulated verification result
        verified = rand > 0.1 # 90% chance of success for simulation purposes
        confidence = verified ? (0.8 + rand * 0.2) : (0.3 + rand * 0.3)
        message = verified ? "Result meets task requirements" : "Result does not fully satisfy task requirements"

        VerificationResult.new(
          task_id: task.id,
          verified: verified,
          confidence: confidence,
          messages: [message]
        )
      end
    end
  end
end
