/**
 * Hypergraph Exploration Simulation Tests
 *
 * Tests hypergraph structures for multi-agent relationships,
 * complex patterns, and Cypher query performance.
 *
 * Target Metrics:
 * - Hyperedge creation (3+ nodes)
 * - Compression ratio >3x (target: 3.7x)
 * - Neo4j Cypher queries <15ms
 * - Multi-agent collaboration modeling
 */

import { describe, it, expect, beforeAll } from 'vitest';
import { hypergraphExplorationScenario } from '../../scenarios/latent-space/hypergraph-exploration';
import type { SimulationReport } from '../../types';

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

  beforeAll(async () => {
    report = await hypergraphExplorationScenario.run(hypergraphExplorationScenario.config);
  }, 90000); // 90s timeout

  describe('Hyperedge Structure', () => {
    it('should create 3+ node hyperedges', () => {
      const avgSize = report.summary.avgHyperedgeSize;
      expect(avgSize).toBeGreaterThan(3.0);
    });

    it('should target 3.5-4.5 average hyperedge size', () => {
      const avgSize = report.summary.avgHyperedgeSize;
      expect(avgSize).toBeGreaterThan(3.0);
      expect(avgSize).toBeLessThan(5.0);
    });

    it('should test size distribution', () => {
      const dist = hypergraphExplorationScenario.config.hyperedgeSizeDistribution;
      expect(dist.size3).toBe(0.50);
      expect(dist.size4).toBe(0.30);
      expect(dist.size5Plus).toBe(0.20);
    });

    it('should have varied hyperedge sizes', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        expect(r.metrics.maxHyperedgeSize).toBeGreaterThanOrEqual(3);
      });
    });
  });

  describe('Compression Ratio', () => {
    it('should compress >3x vs standard graph', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.comparison?.compressionRatio) {
          expect(r.comparison.compressionRatio).toBeGreaterThan(3.0);
        }
      });
    });

    it('should target 3.7x compression', () => {
      const results = report.detailedResults as any[];
      const compressions = results
        .filter(r => r.comparison?.compressionRatio)
        .map(r => r.comparison.compressionRatio);

      if (compressions.length > 0) {
        const avg = compressions.reduce((a, b) => a + b, 0) / compressions.length;
        expect(avg).toBeCloseTo(3.7, 1);
      }
    });

    it('should reduce edge count significantly', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.comparison) {
          expect(r.comparison.hypergraphEdges).toBeLessThan(r.comparison.standardGraphEdges);
        }
      });
    });
  });

  describe('Cypher Query Performance', () => {
    it('should execute queries <15ms average', () => {
      const avgLatency = report.summary.avgQueryLatency;
      expect(avgLatency).toBeLessThan(15);
    });

    it('should support find-collaborators query', () => {
      const queryTypes = hypergraphExplorationScenario.config.queryTypes;
      expect(queryTypes).toContain('find-collaborators');
    });

    it('should support trace-dependencies query', () => {
      const queryTypes = hypergraphExplorationScenario.config.queryTypes;
      expect(queryTypes).toContain('trace-dependencies');
    });

    it('should support pattern-match query', () => {
      const queryTypes = hypergraphExplorationScenario.config.queryTypes;
      expect(queryTypes).toContain('pattern-match');
    });

    it('should execute all query types', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.metrics.cypherQueryLatencyMs) {
          expect(r.metrics.cypherQueryLatencyMs).toBeGreaterThan(0);
        }
      });
    });
  });

  describe('Multi-Agent Collaboration', () => {
    it('should model collaboration groups', () => {
      const avgGroups = report.summary.avgCollaborationGroups;
      expect(avgGroups).toBeGreaterThan(0);
    });

    it('should support hierarchical patterns', () => {
      const patterns = hypergraphExplorationScenario.config.collaborationPatterns;
      expect(patterns).toContain('hierarchical');
    });

    it('should support peer-to-peer patterns', () => {
      const patterns = hypergraphExplorationScenario.config.collaborationPatterns;
      expect(patterns).toContain('peer-to-peer');
    });

    it('should support pipeline patterns', () => {
      const patterns = hypergraphExplorationScenario.config.collaborationPatterns;
      expect(patterns).toContain('pipeline');
    });

    it('should track task coverage', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.metrics.taskCoverage !== undefined) {
          expect(r.metrics.taskCoverage).toBeGreaterThan(0);
          expect(r.metrics.taskCoverage).toBeLessThanOrEqual(1.0);
        }
      });
    });
  });

  describe('Structural Properties', () => {
    it('should maintain hypergraph density', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        expect(r.metrics.hypergraphDensity).toBeGreaterThan(0);
      });
    });

    it('should have small-world properties', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.metrics.smallWorldness) {
          expect(r.metrics.smallWorldness).toBeGreaterThan(0.5);
        }
      });
    });

    it('should track clustering coefficient', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        expect(r.metrics.clusteringCoefficient).toBeGreaterThan(0);
        expect(r.metrics.clusteringCoefficient).toBeLessThanOrEqual(1.0);
      });
    });
  });

  describe('Causal Relationships', () => {
    it('should trace causal chains', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        expect(r.metrics.causalChainLength).toBeGreaterThan(0);
      });
    });

    it('should track branching factor', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        expect(r.metrics.causalBranchingFactor).toBeGreaterThan(1);
      });
    });

    it('should maintain transitivity', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        expect(r.metrics.transitivityScore).toBeGreaterThan(0.6);
      });
    });
  });

  describe('Query Types', () => {
    it('should execute aggregation queries', () => {
      const queryTypes = hypergraphExplorationScenario.config.queryTypes;
      expect(queryTypes).toContain('aggregation');
    });

    it('should execute path queries', () => {
      const queryTypes = hypergraphExplorationScenario.config.queryTypes;
      expect(queryTypes).toContain('path-query');
    });

    it('should return query results', () => {
      const results = report.detailedResults as any[];
      const withResults = results.filter(
        r => r.metrics.cypherQueryLatencyMs && r.metrics.queryResults
      );
      expect(withResults.length).toBeGreaterThan(0);
    });
  });

  describe('Scalability', () => {
    it('should scale to 100k nodes', () => {
      const sizes = hypergraphExplorationScenario.config.graphSizes;
      expect(sizes).toContain(100000);
    });

    it('should maintain query performance at scale', () => {
      const large = (report.detailedResults as any[]).filter(r => r.size === 100000);

      large.forEach(r => {
        if (r.metrics.cypherQueryLatencyMs) {
          expect(r.metrics.cypherQueryLatencyMs).toBeLessThan(50);
        }
      });
    });

    it('should handle large hyperedges', () => {
      const results = report.detailedResults as any[];
      const withLarge = results.filter(r => r.metrics.maxHyperedgeSize > 5);
      expect(withLarge.length).toBeGreaterThan(0);
    });
  });

  describe('Expressiveness', () => {
    it('should provide expressiveness benefit', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.comparison?.expressivenessBenefit) {
          expect(r.comparison.expressivenessBenefit).toBeGreaterThan(0.5);
        }
      });
    });

    it('should model complex patterns naturally', () => {
      const avgSize = report.summary.avgHyperedgeSize;
      expect(avgSize).toBeGreaterThan(2.5); // More than pairwise
    });
  });

  describe('Pattern Matching', () => {
    it('should find triangular patterns', () => {
      const results = report.detailedResults as any[];
      const withPatterns = results.filter(
        r => r.metrics.patternMatchingMs !== undefined
      );
      expect(withPatterns.length).toBeGreaterThan(0);
    });

    it('should traverse hyperedges efficiently', () => {
      const results = report.detailedResults as any[];
      results.forEach(r => {
        if (r.metrics.hyperedgeTraversalMs) {
          expect(r.metrics.hyperedgeTraversalMs).toBeLessThan(20);
        }
      });
    });
  });

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

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

    it('should generate visualizations', () => {
      expect(report.artifacts.hypergraphVisualizations).toBeDefined();
      expect(report.artifacts.collaborationDiagrams).toBeDefined();
      expect(report.artifacts.queryPerformanceCharts).toBeDefined();
    });

    it('should complete within timeout', () => {
      expect(report.executionTimeMs).toBeLessThan(90000);
    });
  });
});