import {
  PipelineBaseModule,
  EnhancedPipelineScheduler,
  PipelineTracker,
  QwenProvider
} from 'rcc-pipeline';

// 1. 创建流水线基础模块
const pipelineModule = new PipelineBaseModule({
  id: 'qwen-pipeline',
  name: 'Qwen AI Pipeline',
  version: '1.0.0',
  type: 'provider',
  providerName: 'qwen',
  maxConcurrentRequests: 5,
  enableTwoPhaseDebug: true,
  enableIOTracking: true
});

// 2. 初始化Qwen提供者
const qwenProvider = new QwenProvider({
  name: 'Qwen',
  endpoint: 'https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation',
  supportedModels: ['qwen-turbo', 'qwen-plus', 'qwen-max'],
  oauth: {
    clientId: 'your-client-id',
    clientSecret: 'your-client-secret',
    scopes: ['openid']
  }
});

// 3. 创建调度器
const scheduler = new EnhancedPipelineScheduler({
  maxConcurrentRequests: 10,
  requestTimeout: 30000,
  loadBalancingStrategy: 'weighted',
  circuitBreaker: {
    enabled: true,
    failureThreshold: 5,
    recoveryTimeout: 60000
  }
});

// 4. 注册提供者
await scheduler.registerProvider(qwenProvider);

// 5. 处理请求
const request = {
  messages: [
    { role: 'user', content: 'Hello, how are you?' }
  ],
  model: 'qwen-turbo',
  temperature: 0.7,
  maxTokens: 1000
};

try {
  const response = await scheduler.scheduleRequest(
    'request-123',
    request,
    1, // priority
    30000 // timeout
  );

  console.log('Response:', response);
} catch (error) {
  console.error('Request failed:', error);
}

import { QwenProvider } from 'rcc-pipeline';

const qwenProvider = new QwenProvider(providerConfig);

// 处理流式响应
async function* processStreamRequest(request: OpenAIChatRequest) {
  const stream = await qwenProvider.executeStreamChat(request);

  for await (const chunk of stream) {
    yield {
      id: chunk.id,
      content: chunk.choices[0]?.delta?.content || '',
      finishReason: chunk.choices[0]?.finish_reason,
      timestamp: Date.now()
    };
  }
}

// 使用流式处理
const streamRequest = {
  messages: [{ role: 'user', content: 'Tell me a story' }],
  model: 'qwen-turbo',
  stream: true
};

for await (const chunk of processStreamRequest(streamRequest)) {
  console.log('Stream chunk:', chunk.content);
  if (chunk.finishReason) {
    console.log('Stream completed:', chunk.finishReason);
  }
}

// 核心框架
import { BaseModule, ModuleInfo, DebugConfig } from 'rcc-basemodule';        // v0.1.8
import { ErrorHandlingCenter } from 'rcc-errorhandling';                  // v1.0.3

// 配置管理
import { createConfigParser, createConfigLoader } from 'rcc-config-parser'; // v0.1.0

// 虚拟模型规则
import { VirtualModelRulesModule } from 'rcc-virtual-model-rules';        // v1.0.5

// HTTP请求处理
import axios, { AxiosInstance, AxiosRequestConfig } from 'axios';          // v1.12.2

// OAuth认证支持
import open from 'open';                                                   // v10.2.0

// Node.js内置模块
import crypto from 'crypto';      // PKCE验证器生成
import fs from 'fs';              // Token文件管理
import path from 'path';          // 文件路径处理
import os from 'os';              // 系统信息获取

// 创建请求上下文
const context = await pipelineTracker.createRequestContext(
  providerName,
  operationType,
  metadata
);

// 生成唯一请求ID
const requestId = pipelineTracker.generateRequestId();

// 记录请求开始
pipelineTracker.addStage(requestId, 'request-init');

// 调度器处理请求
const scheduledRequest: ScheduledRequest = {
  id: requestId,
  data: requestData,
  priority: requestPriority,
  timeout: requestTimeout,
  timestamp: Date.now(),
  context: context
};

// 检查并发限制和熔断器状态
if (scheduler.canExecuteRequest(requestId)) {
  // 立即执行
  return scheduler.executeImmediately(scheduledRequest);
} else {
  // 加入队列等待
  return scheduler.enqueueRequest(scheduledRequest);
}

// 根据负载均衡策略选择流水线
const selectedPipeline = scheduler.selectPipeline();

// 健康检查
if (!selectedPipeline.isHealthy()) {
  throw new Error('Selected pipeline is not healthy');
}

// 分配资源
await selectedPipeline.allocateResources();

// 检查OAuth token有效性
if (provider.requiresAuthentication()) {
  const tokens = await provider.getValidTokens();
  if (!tokens) {
    // 启动设备流程获取新token
    await provider.initiateDeviceFlow();
  }
}

// 执行实际的API调用
try {
  const result = await provider.executeChat(request);

  // 记录成功
  pipelineTracker.completeStage(requestId, 'api-execution', {
    success: true,
    duration: Date.now() - startTime,
    response: result
  });

  return result;
} catch (error) {
  // 记录失败
  pipelineTracker.completeStage(requestId, 'api-execution', {
    success: false,
    duration: Date.now() - startTime,
    error: error.message
  });

  throw error;
}

// 格式化响应
const formattedResponse = provider.formatResponse(result);

// 释放资源
await selectedPipeline.releaseResources();

// 完成请求跟踪
const finalContext = pipelineTracker.completeRequest(requestId);

// 记录性能指标
scheduler.recordPerformanceMetrics(finalContext);

return formattedResponse;

class PipelineScheduler {
  private pipelines: Map<string, Pipeline> = new Map();
  private requestQueue: ScheduledRequest[] = [];
  private activeRequests: Map<string, Promise<any>> = new Map();
  private circuitBreakerState: CircuitBreakerState;
  private metrics: SchedulerMetrics;

  // 配置参数
  private config: SchedulerConfig = {
    maxConcurrentRequests: 10,
    requestTimeout: 30000,
    loadBalancingStrategy: 'round-robin',
    circuitBreaker: {
      enabled: true,
      failureThreshold: 5,
      recoveryTimeout: 60000
    }
  };
}

public async scheduleRequest(
  requestId: string,
  data: any,
  priority: number = 0,
  timeout: number = 30000,
  context?: RequestContext
): Promise<any> {
  // 1. 检查熔断器状态
  if (this.circuitBreakerState.tripped) {
    throw new Error('Circuit breaker is tripped');
  }

  // 2. 检查并发限制
  if (this.activeRequests.size >= this.config.maxConcurrentRequests) {
    // 加入队列
    return this.enqueueRequest({
      id: requestId,
      data,
      priority,
      timeout,
      context
    });
  }

  // 3. 选择流水线
  const pipeline = this.selectPipeline();
  if (!pipeline) {
    throw new Error('No available pipelines');
  }

  // 4. 执行请求
  return this.executeRequest(requestId, data, pipeline, context);
}

private selectPipelineRoundRobin(): Pipeline | null {
  const healthyPipelines = Array.from(this.pipelines.values())
    .filter(p => p.isHealthy());

  if (healthyPipelines.length === 0) return null;

  const selected = healthyPipelines[this.currentRoundRobinIndex % healthyPipelines.length];
  this.currentRoundRobinIndex++;
  return selected;
}

private selectPipelineWeighted(): Pipeline | null {
  const healthyPipelines = Array.from(this.pipelines.values())
    .filter(p => p.isHealthy());

  if (healthyPipelines.length === 0) return null;

  // 计算总权重
  const totalWeight = healthyPipelines.reduce((sum, p) => sum + (p.weight || 1), 0);

  // 随机选择权重区间
  const random = Math.random() * totalWeight;
  let currentWeight = 0;

  for (const pipeline of healthyPipelines) {
    currentWeight += pipeline.weight || 1;
    if (random <= currentWeight) {
      return pipeline;
    }
  }

  return healthyPipelines[healthyPipelines.length - 1];
}

private selectPipelineLeastConnections(): Pipeline | null {
  const healthyPipelines = Array.from(this.pipelines.values())
    .filter(p => p.isHealthy());

  if (healthyPipelines.length === 0) return null;

  // 选择活跃连接最少的流水线
  return healthyPipelines.reduce((best, current) => {
    const bestConnections = this.getActiveConnections(best.id);
    const currentConnections = this.getActiveConnections(current.id);

    return currentConnections < bestConnections ? current : best;
  });
}

interface CircuitBreakerState {
  tripped: boolean;           // 是否触发熔断
  tripTime: number;           // 熔断触发时间
  failureCount: number;       // 失败计数
  lastFailureTime: number;    // 最后失败时间
  successCount: number;       // 成功计数（用于恢复）
}

private checkCircuitBreaker(): boolean {
  const now = Date.now();
  const config = this.config.circuitBreaker;

  if (!config.enabled) return false;

  // 检查是否需要触发熔断
  if (!this.circuitBreakerState.tripped) {
    if (this.circuitBreakerState.failureCount >= config.failureThreshold) {
      this.circuitBreakerState.tripped = true;
      this.circuitBreakerState.tripTime = now;
      this.logger.warn('Circuit breaker tripped due to high failure rate');
    }
  }

  // 检查是否可以恢复
  if (this.circuitBreakerState.tripped) {
    if (now - this.circuitBreakerState.tripTime > config.recoveryTimeout) {
      this.circuitBreakerState.tripped = false;
      this.circuitBreakerState.failureCount = 0;
      this.circuitBreakerState.successCount = 0;
      this.logger.info('Circuit breaker recovered');
    }
  }

  return this.circuitBreakerState.tripped;
}

class QwenProvider extends BaseProvider {
  async ensureValidTokens(): Promise<OAuthTokens> {
    if (this.isTokenExpired()) {
      try {
        // 刷新access token
        const newTokens = await this.refreshAccessToken();
        this.saveTokens(newTokens);
        return newTokens;
      } catch (refreshError) {
        // 如果refresh失败，启动完整的设备流程
        return this.initiateDeviceFlow();
      }
    }
    return this.tokens;
  }
}

private async executeWithRetry<T>(
  operation: () => Promise<T>,
  maxRetries: number = 3,
  backoffMultiplier: number = 2
): Promise<T> {
  let lastError: Error;

  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    try {
      return await operation();
    } catch (error) {
      lastError = error;

      if (attempt === maxRetries) {
        throw error;
      }

      // 指数退避
      const delay = Math.pow(backoffMultiplier, attempt) * 1000;
      await new Promise(resolve => setTimeout(resolve, delay));
    }
  }

  throw lastError!;
}

interface RequestMetrics {
  requestId: string;
  provider: string;
  operation: string;
  startTime: number;
  endTime: number;
  duration: number;
  status: 'success' | 'error';
  error?: string;
  pipelineId: string;
  retryCount: number;
}

interface SystemMetrics {
  totalRequests: number;
  successfulRequests: number;
  failedRequests: number;
  averageResponseTime: number;
  throughput: number;        // 请求/秒
  activeConnections: number;
  queueLength: number;
  memoryUsage: number;
  cpuUsage: number;
}

class PerformanceMonitor {
  private metrics: SystemMetrics = {
    totalRequests: 0,
    successfulRequests: 0,
    failedRequests: 0,
    averageResponseTime: 0,
    throughput: 0,
    activeConnections: 0,
    queueLength: 0,
    memoryUsage: 0,
    cpuUsage: 0
  };

  public recordRequest(request: RequestMetrics): void {
    this.metrics.totalRequests++;

    if (request.status === 'success') {
      this.metrics.successfulRequests++;
    } else {
      this.metrics.failedRequests++;
    }

    // 更新平均响应时间
    this.metrics.averageResponseTime = this.calculateAverageResponseTime(request);

    // 更新吞吐量
    this.metrics.throughput = this.calculateThroughput();
  }

  public getMetrics(): SystemMetrics {
    return { ...this.metrics };
  }
}

interface PipelineModuleConfig {
  // 基础信息
  id: string;
  name: string;
  version: string;
  type: 'provider' | 'scheduler' | 'tracker' | 'pipeline';

  // 流水线配置
  providerName?: string;
  endpoint?: string;
  supportedModels?: string[];
  maxConcurrentRequests?: number;

  // 调度器配置
  loadBalancingStrategy?: 'round-robin' | 'random' | 'weighted' | 'least-connections';
  requestTimeout?: number;

  // 熔断器配置
  circuitBreaker?: {
    enabled: boolean;
    failureThreshold: number;
    recoveryTimeout: number;
  };

  // 调试配置
  enableTwoPhaseDebug?: boolean;
  enableIOTracking?: boolean;

  // OAuth配置
  oauth?: {
    clientId: string;
    clientSecret: string;
    scopes: string[];
  };
}

class PipelineBaseModule {
  private config: PipelineModuleConfig;

  public updateConfig(newConfig: Partial<PipelineModuleConfig>): void {
    // 验证新配置
    this.validateConfig(newConfig);

    // 更新配置
    this.config = { ...this.config, ...newConfig };

    // 重新初始化组件
    this.reinitializeComponents();

    // 通知其他模块
    this.emit('configUpdated', this.config);
  }
}

// 在server模块中使用pipeline
import { PipelineScheduler } from 'rcc-pipeline';

class ServerModule {
  private pipelineScheduler: PipelineScheduler;

  public async initialize(): Promise<void> {
    // 创建pipeline调度器
    this.pipelineScheduler = new PipelineScheduler({
      pipelines: this.createPipelines(),
      loadBalancer: {
        strategy: 'weighted',
        healthCheckInterval: 30000
      }
    });

    // 注册请求处理器
    this.registerRequestHandler();
  }

  private async handleRequest(request: ClientRequest): Promise<ClientResponse> {
    // 通过pipeline处理请求
    return this.pipelineScheduler.scheduleRequest(
      request.id,
      request,
      request.priority || 0,
      request.timeout || 30000
    );
  }
}

// 配置驱动的pipeline创建
import { createConfigLoader } from 'rcc-config-parser';

class PipelineManager {
  public async createPipelinesFromConfig(): Promise<Pipeline[]> {
    const configLoader = createConfigLoader();
    const pipelineConfigs = await configLoader.loadPipelineConfigs();

    return pipelineConfigs.map(config => this.createPipeline(config));
  }
}

// 1. 继承BaseProvider
class CustomProvider extends BaseProvider {
  async authenticate(): Promise<void> {
    // 实现自定义认证逻辑
  }

  async executeChat(request: OpenAIChatRequest): Promise<OpenAIChatResponse> {
    // 实现自定义API调用逻辑
  }
}

// 2. 注册Provider
const customProvider = new CustomProvider({
  name: 'Custom',
  endpoint: 'https://api.custom.com/v1/chat',
  supportedModels: ['custom-model-1', 'custom-model-2']
});

pipelineScheduler.registerProvider(customProvider);

// 1. 实现调度策略接口
class CustomLoadBalancingStrategy implements LoadBalancingStrategy {
  selectPipeline(pipelines: Pipeline[]): Pipeline | null {
    // 实现自定义选择逻辑
  }
}

// 2. 注册策略
scheduler.registerLoadBalancingStrategy('custom', new CustomLoadBalancingStrategy());

class PipelineBaseModule extends BaseModule {
  constructor(config: PipelineModuleConfig);

  // 带I/O跟踪的流水线操作
  async trackPipelineOperation<T>(
    operationId: string,
    operation: () => Promise<T>,
    inputData?: any,
    operationType: string = 'pipeline-operation'
  ): Promise<T>;

  // 获取模块状态
  getStatus(): PipelineModuleStatus;

  // 更新配置
  updateConfig(newConfig: Partial<PipelineModuleConfig>): void;
}

class PipelineScheduler {
  constructor(
    virtualModelId: string,
    config: SchedulerConfig,
    pipelineTracker: PipelineTracker
  );

  // 调度请求
  async execute(
    request: any,
    operation: OperationType,
    options?: SchedulerOptions
  ): Promise<any>;

  // 流式请求
  async *executeStreaming(
    request: any,
    operation: OperationType,
    options?: SchedulerOptions
  ): AsyncGenerator<any, void, unknown>;

  // 添加流水线
  addPipeline(pipeline: Pipeline): void;

  // 获取性能指标
  getMetrics(): SchedulerMetrics;

  // 获取健康状态
  getHealth(): SchedulerHealth;
}

class PipelineTracker extends PipelineBaseModule {
  constructor();

  // 创建请求上下文
  createRequestContext(
    provider: string,
    operation: 'chat' | 'streamChat' | 'healthCheck',
    metadata?: Record<string, any>
  ): IRequestContext;

  // 添加流水线阶段
  addStage(requestId: string, stageName: string): void;

  // 完成阶段
  completeStage(requestId: string, stageName: string, data?: any): void;

  // 完成请求
  completeRequest(requestId: string): IRequestContext | undefined;

  // 获取请求统计
  getRequestStatistics(): {
    activeRequests: number;
    totalStages: number;
    completedStages: number;
    failedStages: number;
    runningStages: number;
  };
}

class QwenProvider extends BaseProvider {
  constructor(config: ProviderConfig);

  // OAuth设备流程
  async initiateDeviceFlow(autoOpen: boolean = true): Promise<DeviceFlowData>;
  async waitForDeviceAuthorization(deviceCode: string, pkceVerifier: string): Promise<OAuthTokens>;

  // 聊天完成
  async executeChat(request: OpenAIChatRequest): Promise<OpenAIChatResponse>;

  // 流式聊天
  async *executeStreamChat(request: OpenAIChatRequest): AsyncGenerator<OpenAIChatResponse>;

  // 健康检查
  async healthCheck(): Promise<ProviderHealthStatus>;
}

interface PipelineModuleConfig {
  // 基础信息
  id: string;
  name: string;
  version: string;
  type: 'provider' | 'scheduler' | 'tracker' | 'pipeline';

  // 流水线配置
  providerName?: string;
  endpoint?: string;
  supportedModels?: string[];
  maxConcurrentRequests?: number;

  // 调度器配置
  loadBalancingStrategy?: 'round-robin' | 'random' | 'weighted' | 'least-connections';
  requestTimeout?: number;

  // 熔断器配置
  circuitBreaker?: {
    enabled: boolean;
    failureThreshold: number;
    recoveryTimeout: number;
  };

  // 调试配置
  enableTwoPhaseDebug?: boolean;
  enableIOTracking?: boolean;

  // OAuth配置
  oauth?: {
    clientId: string;
    clientSecret: string;
    scopes: string[];
  };
}

interface SchedulerConfig {
  maxConcurrentRequests: number;
  requestTimeout: number;
  healthCheckInterval: number;
  retryStrategy: {
    maxRetries: number;
    baseDelay: number;
    maxDelay: number;
    backoffMultiplier: number;
  };
  loadBalancingStrategy: 'round-robin' | 'weighted' | 'least-connections' | 'random';
  enableCircuitBreaker: boolean;
  circuitBreakerThreshold: number;
  circuitBreakerTimeout: number;
}

try {
  const response = await scheduler.execute(
    'request-123',
    request,
    'chat',
    { timeout: 30000 }
  );

  console.log('Success:', response);
} catch (error) {
  if (error instanceof CircuitBreakerError) {
    console.error('Circuit breaker is tripped:', error.message);
  } else if (error instanceof AuthenticationError) {
    console.error('Authentication failed:', error.message);
  } else if (error instanceof RateLimitError) {
    console.error('Rate limit exceeded:', error.message);
  } else {
    console.error('Request failed:', error.message);
  }
}

// 获取性能指标
const metrics = scheduler.getMetrics();

console.log('System Metrics:', {
  totalRequests: metrics.totalRequests,
  successfulRequests: metrics.successfulRequests,
  failedRequests: metrics.failedRequests,
  averageResponseTime: metrics.averageResponseTime,
  activeRequests: metrics.activeRequests,
  queueLength: metrics.queueLength
});

// 监控系统健康
const health = scheduler.getHealth();

console.log('System Health:', {
  status: health.status,
  checks: health.checks,
  details: health.details
});

class CustomProvider extends BaseProvider {
  async authenticate(): Promise<void> {
    // 实现认证逻辑
  }

  async executeChat(request: OpenAIChatRequest): Promise<OpenAIChatResponse> {
    // 实现API调用逻辑
  }
}

const customProvider = new CustomProvider(config);
await scheduler.registerProvider(customProvider);

class CustomStrategy implements LoadBalancingStrategy {
  selectPipeline(pipelines: Pipeline[]): Pipeline | null {
    // 实现选择逻辑
  }
}

scheduler.registerLoadBalancingStrategy('custom', new CustomStrategy());