import { DomainEventBus } from '../runtime/DomainEventBus';

// 数据质量规则
export interface DataQualityRule {
  id: string;
  name: string;
  description: string;
  type: 'validation' | 'completeness' | 'accuracy' | 'consistency' | 'timeliness';
  expression: string; // 规则表达式
  severity: 'low' | 'medium' | 'high';
  threshold: number;
  enabled: boolean;
  createdAt: Date;
  lastUpdated: Date;
}

// 数据质量检查结果
export interface QualityCheckResult {
  id: string;
  ruleId: string;
  dataSourceId: string;
  entity: string; // 表名或实体名
  recordsChecked: number;
  recordsFailed: number;
  failureRate: number;
  status: 'pass' | 'warning' | 'fail';
  timestamp: Date;
  details?: Record<string, any>;
}

// 数据质量指标
export interface DataQualityMetrics {
  dataSourceId: string;
  entity: string;
  completeness: number; // 完整性百分比
  accuracy: number; // 准确性百分比
  consistency: number; // 一致性百分比
  timeliness: number; // 及时性百分比
  overallScore: number; // 总体得分
  lastUpdated: Date;
}

// 数据质量服务
export class DataQualityService {
  private static instance: DataQualityService;
  private qualityRules: Map<string, DataQualityRule> = new Map();
  private checkResults: Map<string, QualityCheckResult> = new Map();
  private qualityMetrics: Map<string, DataQualityMetrics> = new Map();
  private eventBus: DomainEventBus;

  private constructor() {
    this.eventBus = DomainEventBus.getInstance();
  }

  static getInstance(): DataQualityService {
    if (!DataQualityService.instance) {
      DataQualityService.instance = new DataQualityService();
    }
    return DataQualityService.instance;
  }

  // 创建数据质量规则
  async createQualityRule(rule: Omit<DataQualityRule, 'id' | 'createdAt' | 'lastUpdated'>): Promise<DataQualityRule> {
    const id = `rule_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
    
    const newRule: DataQualityRule = {
      ...rule,
      id,
      createdAt: new Date(),
      lastUpdated: new Date()
    };

    this.qualityRules.set(id, newRule);
    this.eventBus.publish('quality.rule.created', newRule);
    return newRule;
  }

  // 获取质量规则
  getQualityRule(ruleId: string): DataQualityRule | undefined {
    return this.qualityRules.get(ruleId);
  }

  // 获取所有质量规则
  getAllQualityRules(filters?: {
    type?: string;
    severity?: string;
    enabled?: boolean;
  }): DataQualityRule[] {
    let result = Array.from(this.qualityRules.values());

    if (filters) {
      if (filters.type) {
        result = result.filter(r => r.type === filters.type);
      }

      if (filters.severity) {
        result = result.filter(r => r.severity === filters.severity);
      }

      if (filters.enabled !== undefined) {
        result = result.filter(r => r.enabled === filters.enabled);
      }
    }

    return result;
  }

  // 更新质量规则
  async updateQualityRule(ruleId: string, updates: Partial<DataQualityRule>): Promise<DataQualityRule | null> {
    const rule = this.qualityRules.get(ruleId);
    if (!rule) {
      return null;
    }

    const updatedRule = {
      ...rule,
      ...updates,
      lastUpdated: new Date()
    };

    this.qualityRules.set(ruleId, updatedRule);
    this.eventBus.publish('quality.rule.updated', updatedRule);
    return updatedRule;
  }

  // 启用/禁用质量规则
  async toggleQualityRule(ruleId: string, enabled: boolean): Promise<boolean> {
    const rule = this.qualityRules.get(ruleId);
    if (!rule) {
      return false;
    }

    rule.enabled = enabled;
    rule.lastUpdated = new Date();
    this.qualityRules.set(ruleId, rule);
    this.eventBus.publish('quality.rule.toggled', rule);
    return true;
  }

  // 执行数据质量检查
  async runQualityCheck(dataSourceId: string, entity: string): Promise<QualityCheckResult[]> {
    const enabledRules = this.getAllQualityRules({ enabled: true });
    const results: QualityCheckResult[] = [];

    for (const rule of enabledRules) {
      const result = await this.checkRule(dataSourceId, entity, rule);
      results.push(result);
    }

    // 更新数据质量指标
    await this.updateQualityMetrics(dataSourceId, entity, results);

    this.eventBus.publish('quality.check.completed', { dataSourceId, entity, results, timestamp: new Date() });
    return results;
  }

  // 检查单个规则
  private async checkRule(dataSourceId: string, entity: string, rule: DataQualityRule): Promise<QualityCheckResult> {
    // 这里应该有实际的规则检查逻辑
    // 暂时模拟检查
    await new Promise(resolve => setTimeout(resolve, 500));
    
    const recordsChecked = Math.floor(Math.random() * 1000) + 100;
    const recordsFailed = Math.floor(Math.random() * 50);
    const failureRate = recordsFailed / recordsChecked;

    let status: 'pass' | 'warning' | 'fail';
    if (failureRate === 0) {
      status = 'pass';
    } else if (failureRate < rule.threshold) {
      status = 'warning';
    } else {
      status = 'fail';
    }

    const result: QualityCheckResult = {
      id: `result_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
      ruleId: rule.id,
      dataSourceId,
      entity,
      recordsChecked,
      recordsFailed,
      failureRate,
      status,
      timestamp: new Date()
    };

    this.checkResults.set(result.id, result);
    return result;
  }

  // 更新数据质量指标
  private async updateQualityMetrics(dataSourceId: string, entity: string, results: QualityCheckResult[]): Promise<void> {
    const key = `${dataSourceId}:${entity}`;
    
    // 计算各项指标
    let completeness = 100;
    let accuracy = 100;
    let consistency = 100;
    let timeliness = 100;

    for (const result of results) {
      const rule = this.qualityRules.get(result.ruleId);
      if (rule) {
        const score = (1 - result.failureRate) * 100;
        switch (rule.type) {
          case 'completeness':
            completeness = score;
            break;
          case 'accuracy':
            accuracy = score;
            break;
          case 'consistency':
            consistency = score;
            break;
          case 'timeliness':
            timeliness = score;
            break;
        }
      }
    }

    const overallScore = (completeness + accuracy + consistency + timeliness) / 4;

    const metrics: DataQualityMetrics = {
      dataSourceId,
      entity,
      completeness,
      accuracy,
      consistency,
      timeliness,
      overallScore,
      lastUpdated: new Date()
    };

    this.qualityMetrics.set(key, metrics);
    this.eventBus.publish('quality.metrics.updated', metrics);
  }

  // 获取数据质量指标
  getQualityMetrics(dataSourceId: string, entity: string): DataQualityMetrics | undefined {
    const key = `${dataSourceId}:${entity}`;
    return this.qualityMetrics.get(key);
  }

  // 获取所有数据质量指标
  getAllQualityMetrics(filters?: {
    dataSourceId?: string;
    minScore?: number;
  }): DataQualityMetrics[] {
    let result = Array.from(this.qualityMetrics.values());

    if (filters) {
      if (filters.dataSourceId) {
        result = result.filter(m => m.dataSourceId === filters.dataSourceId);
      }

      if (filters.minScore !== undefined) {
        result = result.filter(m => m.overallScore >= filters.minScore!);
      }
    }

    return result;
  }

  // 获取质量检查结果
  getQualityCheckResult(resultId: string): QualityCheckResult | undefined {
    return this.checkResults.get(resultId);
  }

  // 获取数据源的质量检查结果
  getDataSourceCheckResults(dataSourceId: string): QualityCheckResult[] {
    return Array.from(this.checkResults.values()).filter(r => r.dataSourceId === dataSourceId);
  }

  // 获取规则的质量检查结果
  getRuleCheckResults(ruleId: string): QualityCheckResult[] {
    return Array.from(this.checkResults.values()).filter(r => r.ruleId === ruleId);
  }

  // 生成数据质量报告
  async generateQualityReport(dataSourceId?: string): Promise<{
    summary: {
      totalChecks: number;
      passedChecks: number;
      warningChecks: number;
      failedChecks: number;
      averageScore: number;
    };
    details: QualityCheckResult[];
    metrics: DataQualityMetrics[];
  }> {
    let results = Array.from(this.checkResults.values());
    let metrics = Array.from(this.qualityMetrics.values());

    if (dataSourceId) {
      results = results.filter(r => r.dataSourceId === dataSourceId);
      metrics = metrics.filter(m => m.dataSourceId === dataSourceId);
    }

    const passedChecks = results.filter(r => r.status === 'pass').length;
    const warningChecks = results.filter(r => r.status === 'warning').length;
    const failedChecks = results.filter(r => r.status === 'fail').length;

    const averageScore = metrics.length > 0 
      ? metrics.reduce((sum, m) => sum + m.overallScore, 0) / metrics.length 
      : 0;

    return {
      summary: {
        totalChecks: results.length,
        passedChecks,
        warningChecks,
        failedChecks,
        averageScore
      },
      details: results,
      metrics
    };
  }

  // 自动修复数据质量问题
  async autoFixQualityIssues(dataSourceId: string, entity: string, ruleId: string): Promise<{
    success: boolean;
    fixedRecords: number;
    message: string;
  }> {
    // 这里应该有实际的自动修复逻辑
    // 暂时模拟修复
    await new Promise(resolve => setTimeout(resolve, 2000));
    
    const fixedRecords = Math.floor(Math.random() * 50);
    const success = Math.random() > 0.2; // 80% 成功率

    return {
      success,
      fixedRecords,
      message: success 
        ? `Fixed ${fixedRecords} records` 
        : 'Auto-fix failed'
    };
  }

  // 获取数据质量趋势
  getQualityTrend(dataSourceId: string, entity: string, days: number = 30): {
    dates: string[];
    scores: number[];
  } {
    // 这里应该有实际的趋势分析逻辑
    // 暂时返回模拟数据
    const dates: string[] = [];
    const scores: number[] = [];

    for (let i = days - 1; i >= 0; i--) {
      const date = new Date();
      date.setDate(date.getDate() - i);
      dates.push(date.toISOString().split('T')[0]);
      scores.push(Math.random() * 20 + 80); // 80-100 之间的随机数
    }

    return {
      dates,
      scores
    };
  }

  // 获取数据质量统计信息
  getQualityStats(): {
    totalRules: number;
    enabledRules: number;
    totalChecks: number;
    passedChecks: number;
    warningChecks: number;
    failedChecks: number;
    averageScore: number;
  } {
    const rules = Array.from(this.qualityRules.values());
    const results = Array.from(this.checkResults.values());
    const metrics = Array.from(this.qualityMetrics.values());

    const passedChecks = results.filter(r => r.status === 'pass').length;
    const warningChecks = results.filter(r => r.status === 'warning').length;
    const failedChecks = results.filter(r => r.status === 'fail').length;

    const averageScore = metrics.length > 0 
      ? metrics.reduce((sum, m) => sum + m.overallScore, 0) / metrics.length 
      : 0;

    return {
      totalRules: rules.length,
      enabledRules: rules.filter(r => r.enabled).length,
      totalChecks: results.length,
      passedChecks,
      warningChecks,
      failedChecks,
      averageScore
    };
  }
}
