/**
 * Comprehensive TDD Test Suite for Veo3 Video Generator
 *
 * Following London School TDD with emphasis on contract testing,
 * video generation pipeline coordination, and performance validation.
 *
 * RED-GREEN-REFACTOR CYCLE:
 * Focus on video generation workflow orchestration, worker pool management,
 * rendering pipeline coordination, and AI-powered content generation.
 */

import {
  describe,
  it,
  expect,
  beforeEach,
  afterEach,
  jest,
} from "@jest/globals";
import { EventEmitter } from "events";
import { Veo3VideoGenerator } from "../veo3-video-generator.js";
import {
  MockFactory,
  TestDataGenerator,
  MockBuilder,
  ContractTester,
  PerformanceTester,
  PropertyGenerator,
} from "./test-utilities.js";

// Mock external dependencies following London School principles
jest.mock("../../../utils/logger.js");
jest.mock("../../../ai/video-ai-engine.js");
jest.mock("../../../rendering/worker-pool.js");

describe("Veo3VideoGenerator - London School TDD", () => {
  let veo3Generator: Veo3VideoGenerator;
  let mockConfig: any;
  let mockLogger: jest.Mocked<any>;
  let mockWorkerPool: jest.Mocked<any>;
  let mockPipelineManager: jest.Mocked<any>;
  let mockAIEngine: jest.Mocked<any>;
  let mockStorageManager: jest.Mocked<any>;
  let mockPerformanceMonitor: jest.Mocked<any>;
  let mockQualityController: jest.Mocked<any>;
  let mockBuilder: MockBuilder;

  beforeEach(() => {
    // Setup comprehensive mock configuration
    mockConfig = {
      rendering: {
        engine: "cuda",
        maxConcurrentRenders: 8,
        memoryLimit: 16384,
        timeoutMinutes: 60,
        quality: {
          draft: {
            renderSamples: 16,
            denoising: false,
            motionBlur: false,
            antiAliasing: "none",
            compression: {
              codec: "h264",
              bitrate: 1000000,
              quality: 70,
              preset: "fast",
            },
          },
          preview: {
            renderSamples: 32,
            denoising: true,
            motionBlur: false,
            antiAliasing: "fxaa",
            compression: {
              codec: "h264",
              bitrate: 2000000,
              quality: 80,
              preset: "medium",
            },
          },
          standard: {
            renderSamples: 64,
            denoising: true,
            motionBlur: true,
            antiAliasing: "msaa",
            compression: {
              codec: "h264",
              bitrate: 5000000,
              quality: 85,
              preset: "slow",
            },
          },
          high: {
            renderSamples: 128,
            denoising: true,
            motionBlur: true,
            antiAliasing: "taa",
            compression: {
              codec: "h265",
              bitrate: 10000000,
              quality: 90,
              preset: "veryslow",
            },
          },
          ultra: {
            renderSamples: 256,
            denoising: true,
            motionBlur: true,
            antiAliasing: "taa",
            compression: {
              codec: "av1",
              bitrate: 20000000,
              quality: 95,
              preset: "placebo",
            },
          },
        },
      },
      ai: {
        model: "veo3-generation-v2",
        promptEnhancement: true,
        styleTransfer: true,
        contentAnalysis: true,
        qualityAssessment: true,
      },
      storage: {
        inputPath: "/tmp/veo3/input",
        outputPath: "/tmp/veo3/output",
        tempPath: "/tmp/veo3/temp",
        cleanup: true,
        retention: 7,
      },
      optimization: {
        gpu: {
          enabled: true,
          multiGPU: false,
          memoryFraction: 0.8,
          cudaGraphs: true,
        },
        memory: {
          streaming: true,
          tiling: true,
          compression: false,
          maxFramesInMemory: 30,
        },
        disk: {
          ssdCache: true,
          compression: true,
          prefetching: true,
          parallelIO: true,
        },
        network: {
          distributedRendering: false,
          loadBalancing: false,
          caching: true,
          cdn: false,
        },
      },
      pipeline: {
        stages: [
          {
            name: "preprocessing",
            enabled: true,
            priority: 1,
            resources: { cpu: 2, memory: 2048, gpu: 0, disk: 1024 },
            timeout: 300000,
          },
          {
            name: "generation",
            enabled: true,
            priority: 2,
            resources: { cpu: 8, memory: 8192, gpu: 1, disk: 4096 },
            timeout: 1800000,
          },
          {
            name: "postprocessing",
            enabled: true,
            priority: 3,
            resources: { cpu: 4, memory: 4096, gpu: 0.5, disk: 2048 },
            timeout: 600000,
          },
          {
            name: "encoding",
            enabled: true,
            priority: 4,
            resources: { cpu: 4, memory: 2048, gpu: 0, disk: 8192 },
            timeout: 900000,
          },
        ],
        parallelization: {
          maxWorkers: 8,
          loadBalancing: "resource_based",
          affinity: true,
        },
        monitoring: {
          progress: true,
          performance: true,
          quality: true,
          errors: true,
        },
        recovery: {
          checkpoints: true,
          retryFailedFrames: true,
          fallbackQuality: "standard",
          maxRetries: 3,
        },
      },
    };

    mockBuilder = new MockBuilder();

    // Setup Logger mock
    mockLogger = mockBuilder
      .mockFunction("info", jest.fn())
      .mockFunction("debug", jest.fn())
      .mockFunction("warn", jest.fn())
      .mockFunction("error", jest.fn())
      .build() as any;

    // Setup WorkerPool mock
    mockWorkerPool = {
      initialize: jest.fn().mockResolvedValue(undefined),
      allocateWorkers: jest
        .fn()
        .mockResolvedValue([
          createMockWorker("worker-1", "gpu"),
          createMockWorker("worker-2", "gpu"),
          createMockWorker("worker-3", "cpu"),
        ]),
      releaseWorkers: jest.fn().mockResolvedValue(undefined),
      getAvailableWorkers: jest.fn().mockReturnValue(3),
      getWorkerMetrics: jest.fn().mockReturnValue({
        totalWorkers: 8,
        activeWorkers: 3,
        utilizationRate: 0.375,
      }),
      on: jest.fn(),
      emit: jest.fn(),
    };

    // Setup PipelineManager mock
    mockPipelineManager = {
      initialize: jest.fn().mockResolvedValue(undefined),
      createPipeline: jest.fn().mockResolvedValue({
        stages: mockConfig.pipeline.stages.map((stage) => ({
          name: stage.name,
          type: stage.name,
          processor: `${stage.name}_processor`,
          parameters: {},
          dependencies: stage.name === "preprocessing" ? [] : ["preprocessing"],
        })),
        parallelization: 8,
        optimization: {
          gpu: true,
          multicore: true,
          memory: {
            tiling: true,
            streaming: true,
            compression: true,
            maxUsage: 8192,
          },
          caching: {
            enabled: true,
            size: 1024,
            strategy: "lru",
            persistence: false,
          },
        },
        output: {
          location: "/output",
          format: { container: "mp4", codec: "h264", bitrate: 5000000 },
          metadata: { title: "Generated Video", timestamp: true },
          delivery: {
            method: "download",
            compression: true,
            encryption: false,
          },
        },
      }),
      executeStage: jest.fn().mockResolvedValue(undefined),
      on: jest.fn(),
      emit: jest.fn(),
    };

    // Setup VideoAIEngine mock
    mockAIEngine = {
      initialize: jest.fn().mockResolvedValue(undefined),
      enhancePrompt: jest
        .fn()
        .mockImplementation(
          async (prompt, style) =>
            `${prompt} (enhanced for ${style.type} style)`,
        ),
      analyzeContent: jest.fn().mockResolvedValue({
        complexity: 0.7,
        elements: ["landscape", "water", "mountains"],
        recommendations: ["increase_render_samples", "enable_motion_blur"],
      }),
      generateStoryboard: jest.fn().mockResolvedValue([
        { frame: 0, description: "Opening landscape shot" },
        { frame: 15, description: "Camera pan across water" },
        { frame: 30, description: "Final mountain vista" },
      ]),
      optimizeRenderSettings: jest.fn().mockResolvedValue({
        renderSamples: 96,
        denoising: true,
        motionBlur: true,
      }),
    };

    // Setup VideoStorageManager mock
    mockStorageManager = {
      initialize: jest.fn().mockResolvedValue(undefined),
      prepareAssets: jest.fn().mockResolvedValue(undefined),
      storeFrame: jest.fn().mockResolvedValue("/storage/frame-001.exr"),
      finalizeOutput: jest.fn().mockResolvedValue({
        path: "/output/video.mp4",
        size: 52428800,
        duration: 30.0,
        format: "mp4",
      }),
      cleanup: jest.fn().mockResolvedValue(undefined),
      createCheckpoint: jest.fn().mockResolvedValue("checkpoint-123"),
      restoreCheckpoint: jest.fn().mockResolvedValue(undefined),
    };

    // Setup PerformanceMonitor mock
    mockPerformanceMonitor = {
      start: jest.fn().mockResolvedValue(undefined),
      recordFrameRender: jest.fn(),
      recordStageCompletion: jest.fn(),
      getMetrics: jest
        .fn()
        .mockResolvedValue(MockFactory.createPerformanceMetrics()),
      getCurrentThroughput: jest.fn().mockReturnValue(24.5), // FPS
      getProjectMetrics: jest.fn().mockResolvedValue({
        averageFrameTime: 2.1,
        totalRenderTime: 1250000,
        memoryPeakUsage: 12800,
        gpuUtilization: 85,
      }),
      on: jest.fn(),
      emit: jest.fn(),
    };

    // Setup QualityController mock
    mockQualityController = {
      assessQuality: jest.fn().mockResolvedValue(0.92),
      validateOutput: jest.fn().mockResolvedValue({
        passed: true,
        score: 0.88,
        issues: [],
        recommendations: [],
      }),
      adjustQualitySettings: jest.fn().mockResolvedValue({
        renderSamples: 80,
        denoising: true,
      }),
    };

    // Mock constructor dependencies
    jest.mocked(require("../../../utils/logger.js")).Logger = jest
      .fn()
      .mockImplementation(() => mockLogger);

    // Create Veo3VideoGenerator instance
    veo3Generator = new Veo3VideoGenerator(mockConfig);

    // Inject mocks
    (veo3Generator as any).workerPool = mockWorkerPool;
    (veo3Generator as any).pipelineManager = mockPipelineManager;
    (veo3Generator as any).aiEngine = mockAIEngine;
    (veo3Generator as any).storageManager = mockStorageManager;
    (veo3Generator as any).performanceMonitor = mockPerformanceMonitor;
    (veo3Generator as any).qualityController = mockQualityController;
  });

  afterEach(() => {
    jest.clearAllMocks();
    mockBuilder.clear();
  });

  // ==================== INITIALIZATION BEHAVIOR ====================

  describe("Initialization and Component Orchestration", () => {
    it("should coordinate initialization of all rendering subsystems", async () => {
      // ARRANGE
      const initializeSpy = jest.spyOn(veo3Generator, "initialize");

      // ACT
      await veo3Generator.initialize();

      // ASSERT - Verify initialization coordination
      expect(initializeSpy).toHaveBeenCalledTimes(1);
      expect(mockAIEngine.initialize).toHaveBeenCalled();
      expect(mockWorkerPool.initialize).toHaveBeenCalled();
      expect(mockPipelineManager.initialize).toHaveBeenCalled();
      expect(mockStorageManager.initialize).toHaveBeenCalled();
      expect(mockPerformanceMonitor.start).toHaveBeenCalled();
      expect(mockLogger.info).toHaveBeenCalledWith(
        "Initializing Veo3 Video Generator",
      );
    });

    it("should handle component initialization failures with proper error propagation", async () => {
      // ARRANGE
      const initError = new Error("Worker pool initialization failed");
      mockWorkerPool.initialize.mockRejectedValueOnce(initError);

      // ACT & ASSERT
      await expect(veo3Generator.initialize()).rejects.toThrow(
        "Worker pool initialization failed",
      );
      expect(mockLogger.error).toHaveBeenCalledWith(
        "Failed to initialize video generator",
        initError,
      );
    });

    it("should establish event handler contracts for component coordination", async () => {
      // ACT
      await veo3Generator.initialize();

      // ASSERT - Verify event handler setup
      expect(mockWorkerPool.on).toHaveBeenCalledWith(
        "worker:error",
        expect.any(Function),
      );
      expect(mockPerformanceMonitor.on).toHaveBeenCalledWith(
        "performance:degraded",
        expect.any(Function),
      );
      expect(mockPipelineManager.on).toHaveBeenCalledWith(
        "stage:completed",
        expect.any(Function),
      );
    });
  });

  // ==================== PROJECT CREATION BEHAVIOR ====================

  describe("Project Creation and Validation", () => {
    beforeEach(async () => {
      await veo3Generator.initialize();
    });

    it("should coordinate project creation with AI prompt enhancement", async () => {
      // ARRANGE
      const videoRequest = MockFactory.createVideoGenerationRequest();
      const projectName = "Test Video Project";

      // ACT
      const result = await veo3Generator.createProject(
        projectName,
        videoRequest,
      );

      // ASSERT - Verify creation coordination
      expect(result.success).toBe(true);
      expect(result.data.name).toBe(projectName);
      expect(result.data.status).toBe("pending");
      expect(mockAIEngine.enhancePrompt).toHaveBeenCalledWith(
        videoRequest.prompt,
        videoRequest.style,
      );
      expect(mockLogger.info).toHaveBeenCalledWith(
        "Creating video project",
        expect.objectContaining({
          name: projectName,
          duration: videoRequest.duration,
        }),
      );
    });

    it("should validate video generation request parameters", async () => {
      // ARRANGE
      const invalidRequest = {
        ...MockFactory.createVideoGenerationRequest(),
        prompt: "", // Empty prompt
        duration: 0, // Invalid duration
        frameRate: 150, // Too high frame rate
        resolution: { width: 8000, height: 8000, aspectRatio: "1:1" }, // Exceeds limits
      };

      // ACT
      const result = await veo3Generator.createProject(
        "Invalid Project",
        invalidRequest,
      );

      // ASSERT
      expect(result.success).toBe(false);
      expect(result.error?.code).toBe("PROJECT_CREATION_FAILED");
      expect(mockLogger.error).toHaveBeenCalled();
    });

    it("should calculate total frames and project metrics correctly", async () => {
      // ARRANGE
      const videoRequest = {
        ...MockFactory.createVideoGenerationRequest(),
        duration: 30,
        frameRate: 24,
      };

      // ACT
      const result = await veo3Generator.createProject(
        "Metrics Test",
        videoRequest,
      );

      // ASSERT
      expect(result.success).toBe(true);
      expect(result.data.metrics.totalFrames).toBe(720); // 30 * 24
      expect(result.data.metrics.framesRendered).toBe(0);
    });
  });

  // ==================== VIDEO GENERATION PIPELINE ====================

  describe("Video Generation Pipeline Orchestration", () => {
    let projectId: string;

    beforeEach(async () => {
      await veo3Generator.initialize();
      const project = await veo3Generator.createProject(
        "Pipeline Test",
        MockFactory.createVideoGenerationRequest(),
      );
      projectId = project.data!.id;
    });

    it("should coordinate generation pipeline with worker allocation", async () => {
      // ARRANGE
      const startSpy = jest.spyOn(veo3Generator, "startGeneration");

      // ACT
      const result = await veo3Generator.startGeneration(projectId);

      // ASSERT - Verify pipeline coordination
      expect(result.success).toBe(true);
      expect(startSpy).toHaveBeenCalledWith(projectId);
      expect(mockWorkerPool.allocateWorkers).toHaveBeenCalled();
      expect(mockStorageManager.prepareAssets).toHaveBeenCalledWith(projectId);
      expect(mockLogger.info).toHaveBeenCalledWith(
        "Starting video generation",
        expect.objectContaining({ projectId }),
      );
    });

    it("should execute preprocessing stage with AI content analysis", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);
      const project = (await veo3Generator.getProject(projectId)).data!;

      // Mock pipeline execution
      jest
        .spyOn(veo3Generator as any, "executePreprocessingStage")
        .mockResolvedValue(undefined);

      // ACT
      await (veo3Generator as any).executePreprocessingStage(
        { name: "preprocessing", type: "preprocessing" },
        { project },
      );

      // ASSERT
      expect(mockAIEngine.analyzeContent).toHaveBeenCalledWith(
        project.request.prompt,
        project.request.style,
      );
      expect(mockStorageManager.prepareAssets).toHaveBeenCalledWith(projectId);
    });

    it("should coordinate frame generation across worker pool", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);
      const project = (await veo3Generator.getProject(projectId)).data!;
      const workers = await mockWorkerPool.allocateWorkers(project.request);

      // Mock generation stage execution
      jest
        .spyOn(veo3Generator as any, "generateFrames")
        .mockImplementation(async (worker, startFrame, endFrame) => {
          // Simulate frame generation
          for (let i = startFrame; i < endFrame; i++) {
            await (veo3Generator as any).generateFrame(worker, i, { project });
          }
        });

      // ACT
      await (veo3Generator as any).executeGenerationStage(
        { name: "generation", type: "generation" },
        { project, workers },
      );

      // ASSERT
      expect(workers.length).toBeGreaterThan(0);
      expect(mockPerformanceMonitor.recordFrameRender).toHaveBeenCalled();
    });

    it("should coordinate postprocessing with quality assessment", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);
      const project = (await veo3Generator.getProject(projectId)).data!;

      // Mock postprocessing execution
      jest
        .spyOn(veo3Generator as any, "applyEffects")
        .mockResolvedValue(undefined);

      // ACT
      await (veo3Generator as any).executePostprocessingStage(
        { name: "postprocessing", type: "postprocessing" },
        { project },
      );

      // ASSERT
      expect(mockQualityController.assessQuality).toHaveBeenCalledWith(
        projectId,
      );
    });

    it("should coordinate encoding stage with output file generation", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);
      const project = (await veo3Generator.getProject(projectId)).data!;

      // Mock encoding execution
      jest.spyOn(veo3Generator as any, "encodeVideo").mockResolvedValue({
        type: "video",
        path: "/output/test-video.mp4",
        size: 52428800,
        format: "mp4",
        duration: 30,
        resolution: { width: 1920, height: 1080 },
      });

      // ACT
      await (veo3Generator as any).executeEncodingStage(
        { name: "encoding", type: "encoding" },
        { project },
      );

      // ASSERT
      expect(project.outputFiles.length).toBeGreaterThan(0);
      expect(project.outputFiles[0].type).toBe("video");
    });
  });

  // ==================== WORKER POOL MANAGEMENT ====================

  describe("Worker Pool Management and Load Balancing", () => {
    beforeEach(async () => {
      await veo3Generator.initialize();
    });

    it("should coordinate worker allocation based on project complexity", async () => {
      // ARRANGE
      const simpleRequest = {
        ...MockFactory.createVideoGenerationRequest(),
        duration: 10,
        resolution: { width: 1280, height: 720, aspectRatio: "16:9" },
        effects: [],
      };

      const complexRequest = {
        ...MockFactory.createVideoGenerationRequest(),
        duration: 120,
        resolution: { width: 3840, height: 2160, aspectRatio: "16:9" },
        effects: [
          {
            type: "color_grading",
            parameters: {},
            timing: { start: 0, duration: 120, easing: "linear" },
          },
          {
            type: "motion_blur",
            parameters: {},
            timing: { start: 0, duration: 120, easing: "linear" },
          },
          {
            type: "particle_system",
            parameters: {},
            timing: { start: 10, duration: 60, easing: "ease-in-out" },
          },
        ],
      };

      // ACT
      const simpleWorkers = await mockWorkerPool.allocateWorkers(simpleRequest);
      const complexWorkers =
        await mockWorkerPool.allocateWorkers(complexRequest);

      // ASSERT
      expect(mockWorkerPool.allocateWorkers).toHaveBeenCalledTimes(2);
      // Complex projects should potentially require more workers
      expect(mockLogger.debug).toHaveBeenCalledWith(
        "Allocating workers for project complexity",
        expect.any(Object),
      );
    });

    it("should handle worker failures with graceful recovery", async () => {
      // ARRANGE
      const projectId = "worker-failure-test";
      const project = await veo3Generator.createProject(
        "Worker Failure Test",
        MockFactory.createVideoGenerationRequest(),
      );

      const failingWorker = createMockWorker("failing-worker", "gpu");
      failingWorker.status = "error";

      const workerError = new Error("GPU memory allocation failed");

      // ACT
      (veo3Generator as any).handleWorkerError({
        workerId: "failing-worker",
        error: workerError,
        projectId: project.data!.id,
      });

      // ASSERT
      expect(mockLogger.error).toHaveBeenCalledWith(
        "Worker error",
        expect.objectContaining({ workerId: "failing-worker" }),
      );
    });

    it("should coordinate worker pool scaling based on demand", async () => {
      // ARRANGE
      const highDemandScenario = Array.from({ length: 10 }, (_, i) =>
        veo3Generator.createProject(
          `Project ${i}`,
          MockFactory.createVideoGenerationRequest(),
        ),
      );

      // ACT
      const projects = await Promise.all(highDemandScenario);
      const startPromises = projects.map((p) =>
        p.success
          ? veo3Generator.startGeneration(p.data!.id)
          : Promise.resolve(),
      );

      await Promise.allSettled(startPromises);

      // ASSERT
      expect(mockWorkerPool.allocateWorkers).toHaveBeenCalledTimes(
        projects.filter((p) => p.success).length,
      );
    });
  });

  // ==================== PERFORMANCE MONITORING ====================

  describe("Performance Monitoring and Optimization", () => {
    let projectId: string;

    beforeEach(async () => {
      await veo3Generator.initialize();
      const project = await veo3Generator.createProject(
        "Performance Test",
        MockFactory.createVideoGenerationRequest(),
      );
      projectId = project.data!.id;
    });

    it("should coordinate performance metrics collection during generation", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);

      // Mock performance monitoring during generation
      jest
        .spyOn(veo3Generator as any, "generateFrame")
        .mockImplementation(async (worker, frameIndex, context) => {
          mockPerformanceMonitor.recordFrameRender(frameIndex, 2.1, worker.id);
          context.project.metrics.framesRendered++;
        });

      // ACT
      await (veo3Generator as any).generateFrame(
        createMockWorker("perf-worker", "gpu"),
        15,
        { project: (await veo3Generator.getProject(projectId)).data! },
      );

      // ASSERT
      expect(mockPerformanceMonitor.recordFrameRender).toHaveBeenCalledWith(
        15,
        expect.any(Number),
        "perf-worker",
      );
    });

    it("should handle performance degradation with adaptive quality adjustment", async () => {
      // ARRANGE
      const degradationEvent = {
        type: "rendering_slowdown",
        metric: "frame_render_time",
        currentValue: 5.2,
        threshold: 3.0,
        projectId,
      };

      // ACT
      (veo3Generator as any).handlePerformanceDegradation(degradationEvent);

      // ASSERT
      expect(mockLogger.warn).toHaveBeenCalledWith(
        "Performance degradation detected",
        degradationEvent,
      );
      expect(mockQualityController.adjustQualitySettings).toHaveBeenCalled();
    });

    it("should provide comprehensive metrics for project monitoring", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);

      // ACT
      const metricsResult = await veo3Generator.getMetrics();

      // ASSERT
      expect(metricsResult.success).toBe(true);
      ContractTester.validatePerformanceMetrics(metricsResult.data);
      expect(mockPerformanceMonitor.getMetrics).toHaveBeenCalled();
    });
  });

  // ==================== ERROR HANDLING AND RECOVERY ====================

  describe("Error Handling and Recovery Coordination", () => {
    let projectId: string;

    beforeEach(async () => {
      await veo3Generator.initialize();
      const project = await veo3Generator.createProject(
        "Error Test",
        MockFactory.createVideoGenerationRequest(),
      );
      projectId = project.data!.id;
    });

    it("should coordinate checkpoint creation for recovery", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);
      const project = (await veo3Generator.getProject(projectId)).data!;

      // Mock checkpoint creation during generation
      jest
        .spyOn(veo3Generator as any, "createCheckpoint")
        .mockImplementation(async (context) => {
          return await mockStorageManager.createCheckpoint(context.project.id);
        });

      // ACT
      const checkpointId = await (veo3Generator as any).createCheckpoint({
        project,
      });

      // ASSERT
      expect(checkpointId).toBe("checkpoint-123");
      expect(mockStorageManager.createCheckpoint).toHaveBeenCalledWith(
        projectId,
      );
    });

    it("should handle rendering failures with frame retry logic", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);
      const project = (await veo3Generator.getProject(projectId)).data!;

      const renderError = new Error("Frame rendering failed");
      const mockWorker = createMockWorker("failing-worker", "gpu");

      // Mock frame rendering failure
      jest
        .spyOn(veo3Generator as any, "executeTask")
        .mockRejectedValueOnce(renderError)
        .mockResolvedValueOnce(undefined); // Success on retry

      // ACT
      await (veo3Generator as any).generateFrame(mockWorker, 10, { project });

      // ASSERT
      expect(mockLogger.warn).toHaveBeenCalledWith(
        "Frame rendering failed, retrying",
        expect.objectContaining({ frameIndex: 10 }),
      );
    });

    it("should coordinate project cancellation with resource cleanup", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);

      // ACT
      const result = await veo3Generator.cancelProject(projectId);

      // ASSERT
      expect(result.success).toBe(true);
      expect(mockWorkerPool.releaseWorkers).toHaveBeenCalled();
      expect(mockStorageManager.cleanup).toHaveBeenCalledWith(projectId);
      expect(mockLogger.info).toHaveBeenCalledWith(
        "Cancelling project",
        expect.objectContaining({ projectId }),
      );
    });
  });

  // ==================== AI INTEGRATION BEHAVIOR ====================

  describe("AI Integration and Enhancement", () => {
    beforeEach(async () => {
      await veo3Generator.initialize();
    });

    it("should coordinate AI prompt enhancement with style analysis", async () => {
      // ARRANGE
      const videoRequest = {
        ...MockFactory.createVideoGenerationRequest(),
        prompt: "A beautiful sunset over the ocean",
        style: {
          type: "cinematic",
          mood: "dramatic",
          colorPalette: ["#FF6B35", "#F7931E", "#FFD23F"],
          lighting: {
            type: "golden_hour",
            intensity: 0.8,
            direction: "west",
            color: "#FFD700",
          },
        },
      };

      // ACT
      const result = await veo3Generator.createProject(
        "AI Enhancement Test",
        videoRequest,
      );

      // ASSERT
      expect(result.success).toBe(true);
      expect(mockAIEngine.enhancePrompt).toHaveBeenCalledWith(
        "A beautiful sunset over the ocean",
        expect.objectContaining({
          type: "cinematic",
          mood: "dramatic",
        }),
      );
    });

    it("should coordinate AI-driven render optimization", async () => {
      // ARRANGE
      const project = await veo3Generator.createProject(
        "AI Optimization",
        MockFactory.createVideoGenerationRequest(),
      );
      const projectId = project.data!.id;

      // ACT
      await veo3Generator.startGeneration(projectId);

      // ASSERT
      expect(mockAIEngine.optimizeRenderSettings).toHaveBeenCalled();
      expect(mockLogger.debug).toHaveBeenCalledWith(
        "AI render optimization applied",
        expect.any(Object),
      );
    });

    it("should handle AI service failures with graceful fallback", async () => {
      // ARRANGE
      const aiError = new Error("AI service unavailable");
      mockAIEngine.enhancePrompt.mockRejectedValueOnce(aiError);

      const videoRequest = MockFactory.createVideoGenerationRequest();

      // ACT
      const result = await veo3Generator.createProject(
        "AI Fallback Test",
        videoRequest,
      );

      // ASSERT - Should succeed without AI enhancement
      expect(result.success).toBe(true);
      expect(mockLogger.warn).toHaveBeenCalledWith(
        "AI enhancement failed, using original prompt",
        aiError,
      );
    });
  });

  // ==================== CONTRACT AND PERFORMANCE TESTING ====================

  describe("Contract Validation and Performance Requirements", () => {
    beforeEach(async () => {
      await veo3Generator.initialize();
    });

    it("should maintain service response contracts for all operations", async () => {
      // ARRANGE & ACT
      const createResult = await veo3Generator.createProject(
        "Contract Test",
        MockFactory.createVideoGenerationRequest(),
      );
      const listResult = await veo3Generator.listProjects();
      const metricsResult = await veo3Generator.getMetrics();

      // ASSERT
      ContractTester.validateServiceResponse(createResult);
      ContractTester.validateServiceResponse(listResult);
      ContractTester.validateServiceResponse(metricsResult);
    });

    it("should meet performance requirements for project operations", async () => {
      // ARRANGE & ACT
      const performanceTest = PerformanceTester.createPerformanceTest(
        "project_creation",
        () =>
          veo3Generator.createProject(
            "Perf Test",
            MockFactory.createVideoGenerationRequest(),
          ),
        200, // 200ms max
        3, // 3 iterations
      );

      // ASSERT
      await performanceTest();
    });

    it("should validate event emitter contract for project monitoring", async () => {
      // ARRANGE
      const expectedEvents = [
        "project:created",
        "project:started",
        "project:progress",
        "project:completed",
        "project:failed",
        "project:cancelled",
        "worker:error",
        "performance:degraded",
      ];

      // ACT & ASSERT
      ContractTester.validateEventEmitter(veo3Generator, expectedEvents);
    });
  });

  // ==================== PROPERTY-BASED TESTING ====================

  describe("Property-Based Testing for Video Generation Parameters", () => {
    beforeEach(async () => {
      await veo3Generator.initialize();
    });

    it("should handle various valid video generation configurations", async () => {
      // ARRANGE
      const validConfigs = PropertyGenerator.generateTestCases(
        () => ({
          prompt: TestDataGenerator.randomString(50),
          duration: Math.floor(Math.random() * 300) + 1, // 1-300 seconds
          frameRate: [24, 25, 30, 60][Math.floor(Math.random() * 4)],
          resolution: {
            width: [1280, 1920, 2560, 3840][Math.floor(Math.random() * 4)],
            height: [720, 1080, 1440, 2160][Math.floor(Math.random() * 4)],
            aspectRatio: "16:9",
          },
          style: {
            type: ["realistic", "cartoon", "artistic"][
              Math.floor(Math.random() * 3)
            ],
            mood: ["peaceful", "dramatic", "energetic"][
              Math.floor(Math.random() * 3)
            ],
          },
        }),
        5,
      );

      // ACT & ASSERT
      for (const config of validConfigs) {
        const result = await veo3Generator.createProject(
          `Test ${TestDataGenerator.randomString(6)}`,
          config as any,
        );
        expect(result.success).toBe(true);
      }
    });

    it("should properly reject invalid video generation parameters", async () => {
      // ARRANGE
      const invalidConfigs = [
        { prompt: "", duration: 10 }, // Empty prompt
        { prompt: "test", duration: 0 }, // Zero duration
        { prompt: "test", duration: 10, frameRate: 200 }, // Excessive frame rate
        {
          prompt: "test",
          duration: 10,
          resolution: { width: 10000, height: 10000 },
        }, // Excessive resolution
      ];

      // ACT & ASSERT
      for (const config of invalidConfigs) {
        const result = await veo3Generator.createProject(
          "Invalid Test",
          config as any,
        );
        expect(result.success).toBe(false);
      }
    });
  });

  // ==================== QUALITY ASSESSMENT INTEGRATION ====================

  describe("Quality Assessment and Control Integration", () => {
    let projectId: string;

    beforeEach(async () => {
      await veo3Generator.initialize();
      const project = await veo3Generator.createProject(
        "Quality Test",
        MockFactory.createVideoGenerationRequest(),
      );
      projectId = project.data!.id;
    });

    it("should coordinate quality assessment during generation", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);

      // Mock quality assessment during postprocessing
      mockQualityController.assessQuality.mockResolvedValue(0.75); // Below threshold

      // ACT
      const project = (await veo3Generator.getProject(projectId)).data!;
      await (veo3Generator as any).executePostprocessingStage(
        { name: "postprocessing", type: "postprocessing" },
        { project },
      );

      // ASSERT
      expect(mockQualityController.assessQuality).toHaveBeenCalledWith(
        projectId,
      );
      expect(mockLogger.info).toHaveBeenCalledWith(
        "Quality assessment completed",
        expect.objectContaining({
          projectId,
          score: 0.75,
        }),
      );
    });

    it("should trigger quality improvement when assessment fails", async () => {
      // ARRANGE
      await veo3Generator.startGeneration(projectId);

      // Mock low quality assessment
      mockQualityController.assessQuality.mockResolvedValue(0.6); // Below acceptable threshold
      mockQualityController.adjustQualitySettings.mockResolvedValue({
        renderSamples: 96,
        denoising: true,
      });

      // ACT
      const project = (await veo3Generator.getProject(projectId)).data!;
      await (veo3Generator as any).executePostprocessingStage(
        { name: "postprocessing", type: "postprocessing" },
        { project },
      );

      // ASSERT
      expect(mockQualityController.adjustQualitySettings).toHaveBeenCalled();
      expect(mockLogger.warn).toHaveBeenCalledWith(
        "Quality below threshold, adjusting settings",
        expect.objectContaining({ projectId }),
      );
    });
  });
});

// ==================== HELPER FUNCTIONS ====================

/**
 * Creates a mock worker for testing worker pool functionality
 */
function createMockWorker(id: string, type: "cpu" | "gpu" | "hybrid") {
  return {
    id,
    type,
    status: "idle" as const,
    currentTask: undefined,
    performance: {
      tasksCompleted: Math.floor(Math.random() * 100),
      averageTime: Math.random() * 10,
      memoryUsage: Math.floor(Math.random() * 1024),
      errors: Math.floor(Math.random() * 5),
    },
  };
}

/**
 * RED-GREEN-REFACTOR CYCLE DOCUMENTATION FOR VEO3 VIDEO GENERATOR:
 *
 * This comprehensive test suite demonstrates London School TDD applied to
 * complex video generation pipeline orchestration:
 *
 * 1. PIPELINE ORCHESTRATION TESTING:
 *    - Tests focus on HOW Veo3VideoGenerator coordinates rendering pipeline stages
 *    - Worker pool management, AI integration, quality control coordination
 *    - Storage management, performance monitoring, and error recovery
 *
 * 2. CONTRACT-DRIVEN DEVELOPMENT:
 *    - All external dependencies mocked to verify interaction contracts
 *    - Service response contracts validated across all operations
 *    - Event emitter contracts ensure proper monitoring and coordination
 *
 * 3. COMPLEX WORKFLOW TESTING:
 *    - Multi-stage video generation pipeline with checkpointing
 *    - Dynamic worker allocation based on project complexity
 *    - AI-enhanced content generation with fallback strategies
 *    - Real-time performance monitoring and adaptive quality control
 *
 * 4. LONDON SCHOOL PRINCIPLES APPLIED:
 *    - RED: Define expected coordination behavior through failing tests
 *    - GREEN: Implement minimal orchestration logic to satisfy contracts
 *    - REFACTOR: Improve coordination patterns while maintaining test contracts
 *
 * Key Collaboration Patterns Tested:
 * - WorkerPool ↔ PipelineManager (resource allocation and task distribution)
 * - AIEngine ↔ VideoGenerator (content analysis and optimization)
 * - QualityController ↔ PerformanceMonitor (quality assessment and adaptation)
 * - StorageManager ↔ CheckpointSystem (data persistence and recovery)
 * - EventSystem ↔ MonitoringServices (real-time coordination and alerts)
 *
 * This design promotes high cohesion within the video generation pipeline
 * while maintaining loose coupling between subsystems through well-defined contracts.
 */