/**
 * Self-Organizing HNSW Simulation Tests
 *
 * Tests autonomous graph restructuring, adaptive parameter tuning,
 * dynamic topology evolution, and self-healing mechanisms.
 *
 * Target Metrics:
 * - MPC adaptation implementation
 * - Degradation prevention >95% (target: 97.9%)
 * - Self-healing latency <100ms
 * - 30-day simulation capability
 * - Real-time monitoring
 */

import { describe, it, expect, beforeAll } from 'vitest';
import { selfOrganizingHNSWScenario } from '../../scenarios/latent-space/self-organizing-hnsw';
import type { SimulationReport } from '../../types';

describe('SelfOrganizingHNSW', () => {
  let report: SimulationReport;

  beforeAll(async () => {
    report = await selfOrganizingHNSWScenario.run(selfOrganizingHNSWScenario.config);
  }, 120000); // 120s timeout for long simulation

  describe('Optimal Adaptation Strategy', () => {
    it('should select MPC as best strategy', () => {
      const best = report.summary.bestStrategy;
      expect(['mpc', 'hybrid']).toContain(best.strategy);
    });

    it('should test static baseline', () => {
      const strategies = selfOrganizingHNSWScenario.config.strategies;
      const static_strategy = strategies.find(s => s.name === 'static');
      expect(static_strategy).toBeDefined();
    });

    it('should test MPC adaptation', () => {
      const strategies = selfOrganizingHNSWScenario.config.strategies;
      const mpc = strategies.find(s => s.name === 'mpc');
      expect(mpc).toBeDefined();
    });

    it('should test online learning', () => {
      const strategies = selfOrganizingHNSWScenario.config.strategies;
      const online = strategies.find(s => s.name === 'online-learning');
      expect(online).toBeDefined();
    });
  });

  describe('Degradation Prevention', () => {
    it('should prevent >95% degradation', () => {
      const avgDegradation = report.summary.avgDegradationPrevented;
      expect(avgDegradation).toBeGreaterThan(95);
    });

    it('should target 97.9% degradation prevention', () => {
      const avgDegradation = report.summary.avgDegradationPrevented;
      expect(avgDegradation).toBeCloseTo(97.9, 5);
    });

    it('should detect performance degradation', () => {
      const results = report.detailedResults as any[];
      const hasAdaptation = results.some(r => {
        return r.evolution?.timeline?.some((t: any) => t.degradation);
      });
      expect(hasAdaptation).toBe(true);
    });
  });

  describe('Self-Healing Mechanisms', () => {
    it('should heal fragmentation', () => {
      const avgHealing = report.summary.avgHealingTime;
      expect(avgHealing).toBeLessThan(100);
    });

    it('should target <100ms healing latency', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.healing?.healingTimeMs) {
          expect(r.healing.healingTimeMs).toBeLessThan(150);
        }
      });
    });

    it('should maintain recall after healing', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.healing?.postHealingRecall) {
          expect(r.healing.postHealingRecall).toBeGreaterThan(0.90);
        }
      });
    });

    it('should reconnect fragmented nodes', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.healing) {
          expect(r.healing.fragmentationRate).toBeLessThan(0.1);
        }
      });
    });
  });

  describe('30-Day Simulation', () => {
    it('should simulate 30 days', () => {
      const days = selfOrganizingHNSWScenario.config.simulationDays;
      expect(days).toBe(30);
    });

    it('should handle workload shifts', () => {
      const shifts = selfOrganizingHNSWScenario.config.workloadShifts;
      expect(shifts.length).toBeGreaterThanOrEqual(3);
    });

    it('should track performance over time', () => {
      const results = report.detailedResults as any[];
      const withEvolution = results.filter(r => r.evolution?.timeline?.length > 0);
      expect(withEvolution.length).toBeGreaterThan(0);
    });
  });

  describe('MPC Adaptation', () => {
    it('should optimize parameters', () => {
      const mpcResults = (report.detailedResults as any[]).filter(
        r => r.strategy === 'mpc' || r.strategy === 'hybrid'
      );

      mpcResults.forEach(r => {
        if (r.parameters?.optimalMFound) {
          expect(r.parameters.optimalMFound).toBeGreaterThan(0);
        }
      });
    });

    it('should use predictive horizon', () => {
      const strategies = selfOrganizingHNSWScenario.config.strategies;
      const mpc = strategies.find(s => s.name === 'mpc');

      if (mpc) {
        expect(mpc.parameters.horizon).toBe(10);
      }
    });

    it('should improve latency over time', () => {
      const results = report.detailedResults as any[];
      const adaptive = results.filter(r => r.strategy !== 'static');

      adaptive.forEach(r => {
        if (r.improvement?.latencyImprovement) {
          expect(r.improvement.latencyImprovement).toBeGreaterThan(-10);
        }
      });
    });
  });

  describe('Parameter Evolution', () => {
    it('should discover optimal M', () => {
      const paramMetrics = report.metrics.parameterEvolution;
      expect(paramMetrics.avgOptimalM).toBeGreaterThan(0);
      expect(paramMetrics.avgOptimalM).toBeLessThan(100);
    });

    it('should maintain parameter stability', () => {
      const paramMetrics = report.metrics.parameterEvolution;
      expect(paramMetrics.avgStability).toBeGreaterThan(0.7);
    });

    it('should track parameter trajectory', () => {
      const results = report.detailedResults as any[];
      const withTrajectory = results.filter(
        r => r.parameters?.mTrajectory?.length > 0
      );
      expect(withTrajectory.length).toBeGreaterThan(0);
    });
  });

  describe('Deletion Handling', () => {
    it('should test multiple deletion rates', () => {
      const rates = selfOrganizingHNSWScenario.config.deletionRates;
      expect(rates.length).toBeGreaterThanOrEqual(3);
      expect(rates).toContain(0.05);
    });

    it('should handle 10% daily deletions', () => {
      const highDeletion = (report.detailedResults as any[]).filter(
        r => r.deletionRate === 0.10
      );

      highDeletion.forEach(r => {
        if (r.healing) {
          expect(r.healing.postHealingRecall).toBeGreaterThan(0.85);
        }
      });
    });
  });

  describe('Online Learning', () => {
    it('should use gradient-based optimization', () => {
      const strategies = selfOrganizingHNSWScenario.config.strategies;
      const online = strategies.find(s => s.name === 'online-learning');

      if (online) {
        expect(online.parameters.learningRate).toBeDefined();
        expect(online.parameters.learningRate).toBeLessThan(0.01);
      }
    });

    it('should converge to good parameters', () => {
      const onlineResults = (report.detailedResults as any[]).filter(
        r => r.strategy === 'online-learning'
      );

      onlineResults.forEach(r => {
        if (r.parameters?.optimalMFound) {
          expect(r.parameters.optimalMFound).toBeGreaterThan(8);
          expect(r.parameters.optimalMFound).toBeLessThan(64);
        }
      });
    });
  });

  describe('Hybrid Strategy', () => {
    it('should combine MPC and online learning', () => {
      const hybrid = (report.detailedResults as any[]).find(r => r.strategy === 'hybrid');

      if (hybrid) {
        expect(hybrid.parameters).toBeDefined();
      }
    });

    it('should achieve best overall performance', () => {
      const best = report.summary.bestStrategy;
      const improvement = (best as any).improvement?.latencyImprovement || 0;
      expect(improvement).toBeGreaterThan(-20);
    });
  });

  describe('Long-Term Stability', () => {
    it('should converge within simulation period', () => {
      const stability = report.metrics.longTermStability;
      expect(stability.convergenceTime).toBeLessThan(30);
    });

    it('should maintain stability score >85%', () => {
      const stability = report.metrics.longTermStability;
      expect(stability.stabilityScore).toBeGreaterThan(0.85);
    });
  });

  describe('Real-Time Monitoring', () => {
    it('should track metrics over time', () => {
      const results = report.detailedResults as any[];
      const withTimeline = results.filter(r => r.evolution?.timeline);
      expect(withTimeline.length).toBeGreaterThan(0);
    });

    it('should detect anomalies', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.evolution?.timeline) {
          r.evolution.timeline.forEach((t: any) => {
            expect(t.metrics).toBeDefined();
          });
        }
      });
    });
  });

  describe('Report Generation', () => {
    it('should generate analysis', () => {
      expect(report.analysis).toBeDefined();
      expect(report.analysis).toContain('Self-Organizing');
    });

    it('should provide recommendations', () => {
      expect(report.recommendations).toBeDefined();
      expect(report.recommendations.some(r => r.includes('MPC'))).toBe(true);
    });

    it('should generate evolution visualizations', () => {
      expect(report.artifacts.evolutionTimelines).toBeDefined();
      expect(report.artifacts.parameterTrajectories).toBeDefined();
      expect(report.artifacts.healingVisualizations).toBeDefined();
    });

    it('should complete within timeout', () => {
      expect(report.executionTimeMs).toBeLessThan(120000);
    });
  });
});