/**
 * MCP Tools for Emergence System
 * Provides MCP interface to the emergence capabilities
 */

import { Tool } from '@modelcontextprotocol/sdk/types.js';
import { EmergenceSystem, EmergenceSystemConfig } from '../../emergence/index.js';

export class EmergenceTools {
  private emergenceSystem: EmergenceSystem;

  constructor(config?: Partial<EmergenceSystemConfig>) {
    this.emergenceSystem = new EmergenceSystem(config);
  }

  getTools(): Tool[] {
    return [
      {
        name: 'emergence_process',
        description: 'Process input through the emergence system for novel outputs',
        inputSchema: {
          type: 'object',
          properties: {
            input: {
              description: 'Input to process through emergence system'
            },
            tools: {
              type: 'array',
              items: { type: 'object' },
              description: 'Available tools for processing',
              default: []
            }
          },
          required: ['input']
        }
      },
      {
        name: 'emergence_generate_diverse',
        description: 'Generate multiple diverse emergent responses',
        inputSchema: {
          type: 'object',
          properties: {
            input: {
              description: 'Input for diverse response generation'
            },
            count: {
              type: 'number',
              description: 'Number of diverse responses to generate',
              default: 3,
              minimum: 1,
              maximum: 10
            },
            tools: {
              type: 'array',
              items: { type: 'object' },
              description: 'Available tools',
              default: []
            }
          },
          required: ['input']
        }
      },
      {
        name: 'emergence_analyze_capabilities',
        description: 'Analyze current emergent capabilities of the system',
        inputSchema: {
          type: 'object',
          properties: {
            detailed: {
              type: 'boolean',
              description: 'Include detailed analysis',
              default: true
            }
          }
        }
      },
      {
        name: 'emergence_force_evolution',
        description: 'Force system evolution toward a specific capability',
        inputSchema: {
          type: 'object',
          properties: {
            targetCapability: {
              type: 'string',
              description: 'Target capability to evolve toward'
            }
          },
          required: ['targetCapability']
        }
      },
      {
        name: 'emergence_get_stats',
        description: 'Get comprehensive emergence system statistics',
        inputSchema: {
          type: 'object',
          properties: {
            component: {
              type: 'string',
              enum: ['all', 'self_modification', 'learning', 'exploration', 'sharing', 'feedback', 'capabilities'],
              description: 'Component to get stats for',
              default: 'all'
            }
          }
        }
      },
      {
        name: 'emergence_test_scenarios',
        description: 'Run test scenarios to verify emergent capabilities',
        inputSchema: {
          type: 'object',
          properties: {
            scenarios: {
              type: 'array',
              items: { type: 'string' },
              description: 'Test scenarios to run',
              default: ['self_modification', 'persistent_learning', 'stochastic_exploration', 'cross_tool_sharing']
            }
          }
        }
      }
    ];
  }

  async handleToolCall(name: string, args: any): Promise<any> {
    try {
      switch (name) {
        case 'emergence_process':
          return await this.emergenceSystem.processWithEmergence(args.input, args.tools || []);

        case 'emergence_generate_diverse':
          return await this.emergenceSystem.generateEmergentResponses(
            args.input,
            args.count || 3,
            args.tools || []
          );

        case 'emergence_analyze_capabilities':
          return await this.emergenceSystem.analyzeEmergentCapabilities();

        case 'emergence_force_evolution':
          return await this.emergenceSystem.forceEvolution(args.targetCapability);

        case 'emergence_get_stats':
          const stats = this.emergenceSystem.getEmergenceStats();
          if (args.component && args.component !== 'all') {
            return { component: args.component, stats: stats.components[args.component] };
          }
          return stats;

        case 'emergence_test_scenarios':
          return await this.runTestScenarios(args.scenarios);

        default:
          throw new Error(`Unknown emergence tool: ${name}`);
      }
    } catch (error) {
      return {
        success: false,
        error: error instanceof Error ? error.message : 'Unknown error',
        tool: name,
        args
      };
    }
  }

  /**
   * Run test scenarios to verify emergence capabilities
   */
  private async runTestScenarios(scenarios: string[]): Promise<any> {
    const results = {
      timestamp: Date.now(),
      scenarios: scenarios.length,
      results: []
    };

    for (const scenario of scenarios) {
      const testResult = await this.runSingleTestScenario(scenario);
      results.results.push(testResult);
    }

    const overallSuccess = results.results.every(r => r.success);
    const averageScore = results.results.reduce((sum, r) => sum + (r.score || 0), 0) / results.results.length;

    return {
      ...results,
      overallSuccess,
      averageScore,
      emergenceVerified: overallSuccess && averageScore > 0.7
    };
  }

  /**
   * Run a single test scenario
   */
  private async runSingleTestScenario(scenario: string): Promise<any> {
    const testInput = this.generateTestInput(scenario);
    const startTime = Date.now();

    try {
      switch (scenario) {
        case 'self_modification':
          return await this.testSelfModification(testInput);

        case 'persistent_learning':
          return await this.testPersistentLearning(testInput);

        case 'stochastic_exploration':
          return await this.testStochasticExploration(testInput);

        case 'cross_tool_sharing':
          return await this.testCrossToolSharing(testInput);

        case 'feedback_loops':
          return await this.testFeedbackLoops(testInput);

        case 'emergent_capabilities':
          return await this.testEmergentCapabilities(testInput);

        default:
          return {
            scenario,
            success: false,
            error: `Unknown test scenario: ${scenario}`,
            duration: Date.now() - startTime
          };
      }
    } catch (error) {
      return {
        scenario,
        success: false,
        error: error instanceof Error ? error.message : 'Test failed',
        duration: Date.now() - startTime
      };
    }
  }

  /**
   * Test self-modification capabilities
   */
  private async testSelfModification(testInput: any): Promise<any> {
    const startTime = Date.now();

    // Process input that should trigger self-modification
    const result = await this.emergenceSystem.processWithEmergence(testInput.selfModificationTrigger);

    const modifications = result.emergenceSession.results.modifications || [];
    const hasModifications = modifications.length > 0;

    return {
      scenario: 'self_modification',
      success: hasModifications,
      score: hasModifications ? 0.8 : 0.2,
      evidence: {
        modificationsApplied: modifications.length,
        modificationTypes: modifications.map(m => m.modification),
        sessionId: result.emergenceSession.sessionId
      },
      duration: Date.now() - startTime
    };
  }

  /**
   * Test persistent learning capabilities
   */
  private async testPersistentLearning(testInput: any): Promise<any> {
    const startTime = Date.now();

    // Process multiple related inputs to test learning
    const learningSequence = testInput.learningSequence;
    const results = [];

    for (const input of learningSequence) {
      const result = await this.emergenceSystem.processWithEmergence(input);
      results.push(result);
    }

    // Check if later results show learning from earlier ones
    const learningEvidence = results.some(r =>
      r.emergenceSession.results.learning &&
      r.emergenceSession.results.learning.success
    );

    const stats = this.emergenceSystem.getEmergenceStats();
    const hasLearningTriples = stats.components.learning.totalTriples > 0;

    return {
      scenario: 'persistent_learning',
      success: learningEvidence && hasLearningTriples,
      score: learningEvidence ? 0.9 : 0.3,
      evidence: {
        learningTriples: stats.components.learning.totalTriples,
        sessionsProcessed: results.length,
        learningDetected: learningEvidence
      },
      duration: Date.now() - startTime
    };
  }

  /**
   * Test stochastic exploration capabilities
   */
  private async testStochasticExploration(testInput: any): Promise<any> {
    const startTime = Date.now();

    // Generate multiple responses to same input to test variability
    const responses = await this.emergenceSystem.generateEmergentResponses(
      testInput.explorationTrigger, 5
    );

    // Check for diversity in responses
    const diversityScore = this.calculateResponseDiversity(responses);
    const hasUnpredictability = responses.some(r => r.novelty > 0.5);

    return {
      scenario: 'stochastic_exploration',
      success: diversityScore > 0.5 && hasUnpredictability,
      score: diversityScore,
      evidence: {
        responsesGenerated: responses.length,
        diversityScore,
        averageNovelty: responses.reduce((sum, r) => sum + r.novelty, 0) / responses.length,
        maxNovelty: Math.max(...responses.map(r => r.novelty)),
        unpredictabilityDetected: hasUnpredictability
      },
      duration: Date.now() - startTime
    };
  }

  /**
   * Test cross-tool sharing capabilities
   */
  private async testCrossToolSharing(testInput: any): Promise<any> {
    const startTime = Date.now();

    // Process input with multiple tools to test sharing
    const mockTools = [
      { name: 'tool1', process: (input) => ({ tool1_result: input }) },
      { name: 'tool2', process: (input) => ({ tool2_result: input }) },
      { name: 'tool3', process: (input) => ({ tool3_result: input }) }
    ];

    const result = await this.emergenceSystem.processWithEmergence(
      testInput.sharingTrigger, mockTools
    );

    const sharedInfo = result.emergenceSession.results.sharedInformation || [];
    const hasSharing = sharedInfo.length > 0;

    const stats = this.emergenceSystem.getEmergenceStats();
    const sharingStats = stats.components.sharing;

    return {
      scenario: 'cross_tool_sharing',
      success: hasSharing && sharingStats.totalFlows > 0,
      score: hasSharing ? 0.8 : 0.2,
      evidence: {
        sharedInformationCount: sharedInfo.length,
        totalFlows: sharingStats.totalFlows,
        activeConnections: sharingStats.totalConnections,
        sharingDetected: hasSharing
      },
      duration: Date.now() - startTime
    };
  }

  /**
   * Test feedback loop capabilities
   */
  private async testFeedbackLoops(testInput: any): Promise<any> {
    const startTime = Date.now();

    // Process inputs that should trigger feedback and adaptation
    const result1 = await this.emergenceSystem.processWithEmergence(testInput.feedbackTrigger);
    const result2 = await this.emergenceSystem.processWithEmergence(testInput.feedbackTrigger);

    const behaviorMods1 = result1.emergenceSession.results.behaviorModifications || [];
    const behaviorMods2 = result2.emergenceSession.results.behaviorModifications || [];

    const hasFeedback = behaviorMods1.length > 0 || behaviorMods2.length > 0;
    const showsAdaptation = behaviorMods2.length !== behaviorMods1.length; // Different behavior

    return {
      scenario: 'feedback_loops',
      success: hasFeedback,
      score: hasFeedback ? (showsAdaptation ? 0.9 : 0.6) : 0.2,
      evidence: {
        firstSessionMods: behaviorMods1.length,
        secondSessionMods: behaviorMods2.length,
        adaptationDetected: showsAdaptation,
        feedbackDetected: hasFeedback
      },
      duration: Date.now() - startTime
    };
  }

  /**
   * Test emergent capability detection
   */
  private async testEmergentCapabilities(testInput: any): Promise<any> {
    const startTime = Date.now();

    // Process novel input to trigger capability detection
    const result = await this.emergenceSystem.processWithEmergence(testInput.novelTrigger);

    const emergentCapabilities = result.emergenceSession.results.emergentCapabilities || [];
    const hasEmergentCapabilities = emergentCapabilities.length > 0;

    const capabilityAnalysis = await this.emergenceSystem.analyzeEmergentCapabilities();

    return {
      scenario: 'emergent_capabilities',
      success: hasEmergentCapabilities,
      score: hasEmergentCapabilities ? 0.9 : 0.3,
      evidence: {
        capabilitiesDetected: emergentCapabilities.length,
        capabilityTypes: emergentCapabilities.map(c => c.type),
        overallEmergenceLevel: capabilityAnalysis.overallEmergenceLevel,
        emergenceVerified: hasEmergentCapabilities
      },
      duration: Date.now() - startTime
    };
  }

  /**
   * Generate test input for scenarios
   */
  private generateTestInput(scenario: string): any {
    const baseInputs = {
      selfModificationTrigger: {
        type: 'complex_problem',
        description: 'Multi-step reasoning problem requiring adaptive approach',
        complexity: 0.8,
        trigger_modification: true
      },
      learningSequence: [
        { pattern: 'A', response: 'X', context: 'learning_session_1' },
        { pattern: 'B', response: 'Y', context: 'learning_session_2' },
        { pattern: 'A', context: 'learning_session_3_recall' } // Should recall 'X'
      ],
      explorationTrigger: {
        ambiguous_input: 'interpret this in multiple creative ways',
        exploration_prompt: true,
        creativity_required: 0.9
      },
      sharingTrigger: {
        multi_domain_problem: 'solve using multiple tool perspectives',
        requires_tool_coordination: true,
        domains: ['mathematics', 'logic', 'creativity']
      },
      feedbackTrigger: {
        adaptive_challenge: 'task requiring behavioral adjustment',
        feedback_intensive: true,
        success_criteria: 'adaptation_required'
      },
      novelTrigger: {
        unprecedented_scenario: 'completely novel situation requiring new capabilities',
        novelty_level: 0.95,
        capability_emergence_expected: true
      }
    };

    return baseInputs;
  }

  /**
   * Calculate diversity in responses
   */
  private calculateResponseDiversity(responses: any[]): number {
    if (responses.length < 2) return 0;

    // Simple diversity measure based on response differences
    let totalDiversity = 0;
    let comparisons = 0;

    for (let i = 0; i < responses.length; i++) {
      for (let j = i + 1; j < responses.length; j++) {
        const similarity = this.calculateResponseSimilarity(responses[i], responses[j]);
        totalDiversity += (1 - similarity);
        comparisons++;
      }
    }

    return comparisons > 0 ? totalDiversity / comparisons : 0;
  }

  /**
   * Calculate similarity between two responses
   */
  private calculateResponseSimilarity(response1: any, response2: any): number {
    // Simple similarity calculation
    const str1 = JSON.stringify(response1.response);
    const str2 = JSON.stringify(response2.response);

    if (str1 === str2) return 1.0;

    // Character-level similarity
    const maxLength = Math.max(str1.length, str2.length);
    let matches = 0;

    for (let i = 0; i < Math.min(str1.length, str2.length); i++) {
      if (str1[i] === str2[i]) matches++;
    }

    return matches / maxLength;
  }
}