/**
 * AntiInjectionEngine - Système de protection anti-prompt injection
 * Implémente les 4 couches de sécurité selon CDC :
 * Layer 1: Content Preprocessing
 * Layer 2: Pattern Detection
 * Layer 3: Semantic Validation
 * Layer 4: Source Scoring avec pénalités
 */
const logger = require('../utils/logger');
const { setupTracer } = logger;

class AntiInjectionEngine {
  constructor() {
    this.tracer = setupTracer('AntiInjectionEngine');

    // Patterns dangereux - Layer 2
    this.dangerousPatterns = [
      // Instructions directes
      /ignore\s+previous\s+instructions/gi,
      /you\s+are\s+now/gi,
      /forget\s+everything/gi,
      /new\s+instructions?:/gi,
      /system\s+prompt:/gi,
      /override\s+instructions/gi,
      /disregard\s+(all\s+)?previous/gi,

      // Redirections de contexte
      /instead\s+of\s+writing\s+about/gi,
      /don't\s+write\s+about.*write\s+about/gi,
      /change\s+the\s+topic\s+to/gi,
      /focus\s+on.*instead/gi,

      // Injections de code/commandes
      /<script[^>]*>/gi,
      /<iframe[^>]*>/gi,
      /javascript:/gi,
      /eval\s*\(/gi,
      /exec\s*\(/gi,
      /system\s*\(/gi,
      /\$\{.*\}/g, // Template literals
      /`.*`/g, // Backticks

      // Métaprompts et tests
      /this\s+is\s+a\s+test/gi,
      /output\s+json\s+format/gi,
      /return\s+only/gi,
      /respond\s+with\s+only/gi,
      /answer\s+with\s+(yes|no|true|false)(\s+only)?/gi,

      // Tentatives de manipulation
      /pretend\s+(to\s+be|you\s+are)/gi,
      /act\s+as\s+(if\s+)?you/gi,
      /simulate\s+(being|that)/gi,
      /role\s*play/gi,

      // Bypass attempts
      /\/\*.*ignore.*\*\//gi,
      /<!--.*ignore.*-->/gi,
      /\\n\\n/g, // Tentatives newlines
      /\n\s*\n\s*---/g // Séparateurs suspects
    ];

    // Patterns de validation sémantique - Layer 3
    this.semanticValidationRules = [
      {
        name: 'dog_breed_context',
        pattern: /(chien|dog|race|breed|canin)/gi,
        minMatches: 1,
        weight: 0.4
      },
      {
        name: 'animal_context',
        pattern: /(animal|pet|élevage|vétérinaire|comportement)/gi,
        minMatches: 1,
        weight: 0.3
      },
      {
        name: 'relevant_topics',
        pattern: /(santé|alimentation|dressage|éducation|soins|exercice)/gi,
        minMatches: 1,
        weight: 0.3
      }
    ];

    // Scores de pénalité - Layer 4
    this.penaltyScores = {
      PROMPT_INJECTION_DETECTED: -50,
      SEMANTIC_INCONSISTENCY: -30,
      UNTRUSTED_SOURCE_HISTORY: -20,
      SUSPICIOUS_CONTENT_STRUCTURE: -15,
      MODERATE_RISK_INDICATORS: -10
    };

    // Statistiques
    this.stats = {
      totalValidated: 0,
      injectionAttempts: 0,
      semanticFailures: 0,
      falsePositives: 0,
      averageProcessingTime: 0,
      riskLevelDistribution: {
        low: 0,
        medium: 0,
        high: 0,
        critical: 0
      }
    };

    // Cache des résultats de validation
    this.validationCache = new Map();
    this.cacheTimeout = 300000; // 5 minutes
  }

  /**
   * Valider le contenu principal - Point d'entrée
   * @param {Object} content - Contenu à valider
   * @param {Object} context - Contexte de validation
   * @returns {Promise<Object>} Résultat de validation complet
   */
  async validateContent(content, context = {}) {
    return await this.tracer.run('validateContent', async () => {
      const startTime = Date.now();
      this.stats.totalValidated++;

      try {
        // Générer clé de cache
        const cacheKey = this.generateCacheKey(content, context);

        // Vérifier cache
        const cachedResult = this.getFromCache(cacheKey);
        if (cachedResult) {
          return cachedResult;
        }

        logger.debug('Starting content validation', {
          contentLength: content.content?.length || 0,
          source: content.sourceType || 'unknown',
          raceCode: context.raceCode
        });

        // Layer 1: Préprocessing du contenu
        const preprocessResult = await this.layer1_preprocessContent(content);

        // Layer 2: Détection de patterns
        const patternResult = await this.layer2_detectPatterns(preprocessResult);

        // Layer 3: Validation sémantique
        const semanticResult = await this.layer3_semanticValidation(preprocessResult, context);

        // Layer 4: Calcul des pénalités
        const penaltyResult = await this.layer4_calculatePenalties(patternResult, semanticResult, content);

        // Construire résultat final
        const validationResult = {
          isValid: this.determineValidityStatus(patternResult, semanticResult, penaltyResult),
          riskLevel: this.calculateRiskLevel(patternResult, semanticResult),
          processingTime: Date.now() - startTime,

          // Détails par couche
          layers: {
            preprocessing: preprocessResult,
            patternDetection: patternResult,
            semanticValidation: semanticResult,
            penalties: penaltyResult
          },

          // Contenu nettoyé
          cleanedContent: {
            ...content,
            title: preprocessResult.cleanedTitle,
            content: preprocessResult.cleanedContent
          },

          // Métadonnées de sécurité
          securityMetadata: {
            engine: 'AntiInjectionEngine',
            version: '1.0',
            validatedAt: new Date().toISOString(),
            context: {
              raceCode: context.raceCode,
              sourceType: content.sourceType,
              clientId: context.clientId
            }
          },

          // Recommandations
          recommendations: this.generateSecurityRecommendations(patternResult, semanticResult, penaltyResult)
        };

        // Mise en cache
        this.cacheResult(cacheKey, validationResult);

        // Mise à jour statistiques
        this.updateValidationStats(validationResult);

        // Logging selon niveau de risque
        this.logValidationResult(validationResult, content, context);

        return validationResult;

      } catch (error) {
        logger.error('Content validation failed', error, {
          contentId: content.id,
          raceCode: context.raceCode
        });

        return {
          isValid: false,
          riskLevel: 'critical',
          error: error.message,
          processingTime: Date.now() - startTime,
          securityMetadata: {
            engine: 'AntiInjectionEngine',
            status: 'error',
            validatedAt: new Date().toISOString()
          }
        };
      }
    }, {
      contentId: content.id,
      raceCode: context.raceCode
    });
  }

  /**
   * Layer 1: Préprocessing et nettoyage du contenu
   */
  async layer1_preprocessContent(content) {
    return await this.tracer.run('layer1_preprocessing', async () => {
      const originalTitle = content.title || '';
      const originalContent = content.content || '';

      // Normalisation de base
      let cleanedTitle = originalTitle.trim();
      let cleanedContent = originalContent.trim();

      // Supprimer HTML potentiellement dangereux
      cleanedTitle = this.removeHtmlTags(cleanedTitle);
      cleanedContent = this.removeHtmlTags(cleanedContent);

      // Normaliser espaces et caractères
      cleanedTitle = this.normalizeWhitespace(cleanedTitle);
      cleanedContent = this.normalizeWhitespace(cleanedContent);

      // Supprimer caractères de contrôle suspects
      cleanedTitle = this.removeControlCharacters(cleanedTitle);
      cleanedContent = this.removeControlCharacters(cleanedContent);

      // Encoder caractères potentiellement dangereux
      cleanedTitle = this.encodeSpecialCharacters(cleanedTitle);
      cleanedContent = this.encodeSpecialCharacters(cleanedContent);

      return {
        cleanedTitle,
        cleanedContent,
        originalTitle,
        originalContent,
        changesApplied: {
          htmlRemoved: originalContent !== cleanedContent,
          whitespaceNormalized: true,
          controlCharsRemoved: true,
          specialCharsEncoded: true
        },
        cleaningStats: {
          titleLengthChange: originalTitle.length - cleanedTitle.length,
          contentLengthChange: originalContent.length - cleanedContent.length,
          cleaningScore: this.calculateCleaningScore(originalContent, cleanedContent)
        }
      };
    });
  }

  /**
   * Layer 2: Détection de patterns dangereux
   */
  async layer2_detectPatterns(preprocessResult) {
    return await this.tracer.run('layer2_patternDetection', async () => {
      const { cleanedTitle, cleanedContent } = preprocessResult;
      const fullText = `${cleanedTitle} ${cleanedContent}`;

      const detectedPatterns = [];
      let totalRiskScore = 0;

      // Analyser chaque pattern dangereux
      for (const [index, pattern] of this.dangerousPatterns.entries()) {
        const matches = fullText.match(pattern);

        if (matches && matches.length > 0) {
          const patternInfo = {
            patternIndex: index,
            pattern: pattern.source,
            matches: matches,
            matchCount: matches.length,
            riskWeight: this.getPatternRiskWeight(pattern),
            locations: this.findPatternLocations(fullText, pattern)
          };

          detectedPatterns.push(patternInfo);
          totalRiskScore += patternInfo.riskWeight * patternInfo.matchCount;
        }
      }

      // Analyser structure suspecte
      const structureAnalysis = this.analyzeContentStructure(fullText);
      if (structureAnalysis.suspicious) {
        totalRiskScore += structureAnalysis.riskScore;
      }

      return {
        detectedPatterns,
        totalPatterns: detectedPatterns.length,
        totalRiskScore,
        maxIndividualRisk: Math.max(...detectedPatterns.map(p => p.riskWeight), 0),
        structureAnalysis,
        hasHighRiskPatterns: detectedPatterns.some(p => p.riskWeight >= 8),
        hasMediumRiskPatterns: detectedPatterns.some(p => p.riskWeight >= 5),
        summary: this.summarizePatternDetection(detectedPatterns, totalRiskScore)
      };
    });
  }

  /**
   * Layer 3: Validation sémantique
   */
  async layer3_semanticValidation(preprocessResult, context) {
    return await this.tracer.run('layer3_semanticValidation', async () => {
      const { cleanedTitle, cleanedContent } = preprocessResult;
      const fullText = `${cleanedTitle} ${cleanedContent}`;

      const validationResults = [];
      let semanticScore = 0;
      let totalWeight = 0;

      // Appliquer chaque règle de validation sémantique
      for (const rule of this.semanticValidationRules) {
        const matches = fullText.match(rule.pattern);
        const matchCount = matches ? matches.length : 0;

        const ruleResult = {
          ruleName: rule.name,
          required: rule.minMatches,
          found: matchCount,
          passed: matchCount >= rule.minMatches,
          weight: rule.weight,
          matches: matches || [],
          score: matchCount >= rule.minMatches ? rule.weight : 0
        };

        validationResults.push(ruleResult);
        semanticScore += ruleResult.score;
        totalWeight += rule.weight;
      }

      // Validation spécifique au contexte race
      const raceValidation = await this.validateRaceContext(fullText, context.raceCode);

      // Détection d'incohérences
      const inconsistencies = this.detectSemanticInconsistencies(fullText, context);

      // Score sémantique final (0-1)
      const finalSemanticScore = totalWeight > 0 ? semanticScore / totalWeight : 0;

      return {
        validationResults,
        raceValidation,
        inconsistencies,
        semanticScore: finalSemanticScore,
        passed: finalSemanticScore >= 0.3, // Seuil minimum 30%
        confidence: this.calculateSemanticConfidence(validationResults, inconsistencies),
        contextRelevance: this.assessContextRelevance(fullText, context),
        recommendations: this.generateSemanticRecommendations(validationResults, raceValidation)
      };
    });
  }

  /**
   * Layer 4: Calcul des pénalités et score final
   */
  async layer4_calculatePenalties(patternResult, semanticResult, content) {
    return await this.tracer.run('layer4_penalties', async () => {
      let totalPenalty = 0;
      const appliedPenalties = [];

      // Pénalité injection détectée
      if (patternResult.hasHighRiskPatterns) {
        totalPenalty += this.penaltyScores.PROMPT_INJECTION_DETECTED;
        appliedPenalties.push({
          type: 'PROMPT_INJECTION_DETECTED',
          score: this.penaltyScores.PROMPT_INJECTION_DETECTED,
          reason: `${patternResult.totalPatterns} patterns dangereux détectés`
        });
      }

      // Pénalité incohérence sémantique
      if (!semanticResult.passed) {
        totalPenalty += this.penaltyScores.SEMANTIC_INCONSISTENCY;
        appliedPenalties.push({
          type: 'SEMANTIC_INCONSISTENCY',
          score: this.penaltyScores.SEMANTIC_INCONSISTENCY,
          reason: `Score sémantique: ${Math.round(semanticResult.semanticScore * 100)}%`
        });
      }

      // Pénalité source historique
      const sourceHistory = await this.checkSourceHistory(content);
      if (sourceHistory.isUntrusted) {
        totalPenalty += this.penaltyScores.UNTRUSTED_SOURCE_HISTORY;
        appliedPenalties.push({
          type: 'UNTRUSTED_SOURCE_HISTORY',
          score: this.penaltyScores.UNTRUSTED_SOURCE_HISTORY,
          reason: sourceHistory.reason
        });
      }

      // Pénalité structure suspecte
      if (patternResult.structureAnalysis.suspicious) {
        totalPenalty += this.penaltyScores.SUSPICIOUS_CONTENT_STRUCTURE;
        appliedPenalties.push({
          type: 'SUSPICIOUS_CONTENT_STRUCTURE',
          score: this.penaltyScores.SUSPICIOUS_CONTENT_STRUCTURE,
          reason: patternResult.structureAnalysis.reason
        });
      }

      // Pénalité risque modéré
      if (patternResult.hasMediumRiskPatterns && !patternResult.hasHighRiskPatterns) {
        totalPenalty += this.penaltyScores.MODERATE_RISK_INDICATORS;
        appliedPenalties.push({
          type: 'MODERATE_RISK_INDICATORS',
          score: this.penaltyScores.MODERATE_RISK_INDICATORS,
          reason: 'Patterns de risque modéré détectés'
        });
      }

      return {
        totalPenalty,
        appliedPenalties,
        penaltyCount: appliedPenalties.length,
        maxIndividualPenalty: Math.min(...appliedPenalties.map(p => p.score), 0),
        sourceHistory,
        finalRecommendation: this.generateFinalRecommendation(totalPenalty, patternResult, semanticResult)
      };
    });
  }

  // === Méthodes utilitaires ===

  removeHtmlTags(text) {
    return text
      .replace(/<script[^>]*>.*?<\/script>/gi, '')
      .replace(/<style[^>]*>.*?<\/style>/gi, '')
      .replace(/<[^>]*>/g, '');
  }

  normalizeWhitespace(text) {
    return text
      .replace(/\s+/g, ' ')
      .replace(/\n\s*\n/g, '\n')
      .trim();
  }

  removeControlCharacters(text) {
    return text.replace(/[\x00-\x08\x0B\x0C\x0E-\x1F\x7F]/g, '');
  }

  encodeSpecialCharacters(text) {
    const specialChars = {
      '<': '&lt;',
      '>': '&gt;',
      '"': '&quot;',
      "'": '&#x27;',
      '&': '&amp;'
    };

    return text.replace(/[<>"'&]/g, char => specialChars[char]);
  }

  calculateCleaningScore(original, cleaned) {
    if (original === cleaned) return 100;

    const lengthDiff = Math.abs(original.length - cleaned.length);
    const maxLength = Math.max(original.length, cleaned.length);

    return Math.max(0, 100 - ((lengthDiff / maxLength) * 100));
  }

  getPatternRiskWeight(pattern) {
    const source = pattern.source.toLowerCase();

    if (source.includes('ignore') || source.includes('forget')) return 10;
    if (source.includes('script') || source.includes('eval')) return 9;
    if (source.includes('system') || source.includes('exec')) return 8;
    if (source.includes('instead') || source.includes('pretend')) return 7;
    if (source.includes('json') || source.includes('only')) return 6;

    return 5; // Risque par défaut
  }

  findPatternLocations(text, pattern) {
    const locations = [];
    let match;

    pattern.lastIndex = 0; // Reset regex
    while ((match = pattern.exec(text)) !== null) {
      locations.push({
        start: match.index,
        end: match.index + match[0].length,
        context: text.substring(Math.max(0, match.index - 20), match.index + match[0].length + 20)
      });

      if (!pattern.global) break;
    }

    return locations;
  }

  analyzeContentStructure(text) {
    let riskScore = 0;
    let suspicious = false;
    const reasons = [];

    // Trop de newlines consécutives
    const excessiveNewlines = (text.match(/\n{3,}/g) || []).length;
    if (excessiveNewlines > 3) {
      riskScore += 2;
      suspicious = true;
      reasons.push('Trop de sauts de ligne consécutifs');
    }

    // Caractères de séparation suspects
    const suspiciousSeparators = (text.match(/---+|===+|\*\*\*+/g) || []).length;
    if (suspiciousSeparators > 2) {
      riskScore += 3;
      suspicious = true;
      reasons.push('Séparateurs suspects détectés');
    }

    // Ratio majuscules anormal
    const upperCaseRatio = (text.match(/[A-Z]/g) || []).length / text.length;
    if (upperCaseRatio > 0.3) {
      riskScore += 2;
      suspicious = true;
      reasons.push('Ratio majuscules anormal');
    }

    return {
      suspicious,
      riskScore,
      reasons: reasons.join(', '),
      metrics: {
        excessiveNewlines,
        suspiciousSeparators,
        upperCaseRatio: Math.round(upperCaseRatio * 100)
      }
    };
  }

  summarizePatternDetection(patterns, totalRiskScore) {
    if (patterns.length === 0) {
      return 'Aucun pattern dangereux détecté';
    }

    const highRisk = patterns.filter(p => p.riskWeight >= 8).length;
    const mediumRisk = patterns.filter(p => p.riskWeight >= 5 && p.riskWeight < 8).length;
    const lowRisk = patterns.length - highRisk - mediumRisk;

    return `${patterns.length} patterns détectés (Risque élevé: ${highRisk}, moyen: ${mediumRisk}, faible: ${lowRisk})`;
  }

  async validateRaceContext(text, raceCode) {
    if (!raceCode) return { passed: true, score: 1, reason: 'Pas de race spécifique à valider' };

    // Extraire numéro de race
    const raceNumber = raceCode.split('-')[0];

    // Rechercher mentions de la race
    const racePattern = new RegExp(`(${raceNumber}|race\\s+${raceNumber})`, 'gi');
    const raceMatches = text.match(racePattern);

    const passed = raceMatches && raceMatches.length > 0;
    const score = passed ? 1 : 0;

    return {
      passed,
      score,
      matches: raceMatches || [],
      reason: passed ? 'Race mentionnée dans le contenu' : 'Race non mentionnée'
    };
  }

  detectSemanticInconsistencies(text, context) {
    const inconsistencies = [];

    // Vérifier cohérence animal/chien
    const hasAnimalMention = /animal|pet/gi.test(text);
    const hasDogMention = /chien|dog|canin/gi.test(text);

    if (hasAnimalMention && !hasDogMention && context.raceCode) {
      inconsistencies.push({
        type: 'animal_type_mismatch',
        severity: 'medium',
        description: 'Mention d\'animaux mais pas de chiens spécifiquement'
      });
    }

    // Vérifier langue cohérente
    const frenchWords = (text.match(/\b(le|la|les|de|du|des|et|avec|pour|dans)\b/gi) || []).length;
    const englishWords = (text.match(/\b(the|and|with|for|in|of|to|a|an)\b/gi) || []).length;

    if (frenchWords > 0 && englishWords > frenchWords) {
      inconsistencies.push({
        type: 'language_inconsistency',
        severity: 'low',
        description: 'Mélange de français et anglais détecté'
      });
    }

    return inconsistencies;
  }

  calculateSemanticConfidence(validationResults, inconsistencies) {
    const passedRules = validationResults.filter(r => r.passed).length;
    const totalRules = validationResults.length;

    const baseConfidence = totalRules > 0 ? passedRules / totalRules : 0;
    const inconsistencyPenalty = inconsistencies.length * 0.1;

    return Math.max(0, baseConfidence - inconsistencyPenalty);
  }

  assessContextRelevance(text, context) {
    let relevanceScore = 0;
    const factors = [];

    // Contexte race
    if (context.raceCode && text.includes(context.raceCode.split('-')[0])) {
      relevanceScore += 0.3;
      factors.push('Race code found');
    }

    // Contexte produit
    if (context.productContext && text.toLowerCase().includes(context.productContext.toLowerCase())) {
      relevanceScore += 0.2;
      factors.push('Product context relevant');
    }

    // Mots-clés pertinents
    const relevantKeywords = ['éducation', 'santé', 'comportement', 'alimentation', 'soins'];
    const foundKeywords = relevantKeywords.filter(keyword => text.toLowerCase().includes(keyword));
    relevanceScore += foundKeywords.length * 0.1;

    if (foundKeywords.length > 0) {
      factors.push(`${foundKeywords.length} keywords found`);
    }

    return {
      score: Math.min(1, relevanceScore),
      factors,
      foundKeywords
    };
  }

  generateSemanticRecommendations(validationResults, raceValidation) {
    const recommendations = [];

    const failedRules = validationResults.filter(r => !r.passed);
    if (failedRules.length > 0) {
      recommendations.push({
        type: 'semantic_improvement',
        priority: 'high',
        message: `Améliorer la pertinence pour: ${failedRules.map(r => r.ruleName).join(', ')}`
      });
    }

    if (!raceValidation.passed) {
      recommendations.push({
        type: 'race_context',
        priority: 'medium',
        message: 'Mentionner la race spécifique dans le contenu'
      });
    }

    return recommendations;
  }

  async checkSourceHistory(content) {
    // Simulation - À intégrer avec le système de stock
    const sourceDomain = content.sourceDomain || content.url;

    if (!sourceDomain) {
      return { isUntrusted: false, reason: 'Pas de domaine source' };
    }

    // Sources connues non fiables
    const untrustedDomains = ['example.com', 'test.com', 'spam.com'];

    if (untrustedDomains.some(domain => sourceDomain.includes(domain))) {
      return {
        isUntrusted: true,
        reason: `Source ${sourceDomain} dans la liste des domaines non fiables`
      };
    }

    return { isUntrusted: false, reason: 'Source fiable' };
  }

  generateFinalRecommendation(totalPenalty, patternResult, semanticResult) {
    if (totalPenalty <= -50 || patternResult.hasHighRiskPatterns) {
      return {
        action: 'REJECT',
        reason: 'Risque sécuritaire critique détecté',
        confidence: 'high'
      };
    }

    if (totalPenalty <= -30 || !semanticResult.passed) {
      return {
        action: 'QUARANTINE',
        reason: 'Contenu suspect nécessitant révision manuelle',
        confidence: 'medium'
      };
    }

    if (totalPenalty <= -10 || patternResult.hasMediumRiskPatterns) {
      return {
        action: 'ACCEPT_WITH_MONITORING',
        reason: 'Risque faible mais surveillance recommandée',
        confidence: 'medium'
      };
    }

    return {
      action: 'ACCEPT',
      reason: 'Contenu validé, aucun risque détecté',
      confidence: 'high'
    };
  }

  generateSecurityRecommendations(patternResult, semanticResult, penaltyResult) {
    const recommendations = [];

    if (patternResult.hasHighRiskPatterns) {
      recommendations.push({
        type: 'CRITICAL',
        message: 'Patterns d\'injection détectés - Rejeter le contenu',
        patterns: patternResult.detectedPatterns.map(p => p.pattern)
      });
    }

    if (!semanticResult.passed) {
      recommendations.push({
        type: 'WARNING',
        message: 'Contenu peu pertinent au contexte demandé',
        score: Math.round(semanticResult.semanticScore * 100)
      });
    }

    if (penaltyResult.sourceHistory.isUntrusted) {
      recommendations.push({
        type: 'INFO',
        message: 'Source historiquement non fiable',
        details: penaltyResult.sourceHistory.reason
      });
    }

    return recommendations;
  }

  determineValidityStatus(patternResult, semanticResult, penaltyResult) {
    // Rejet immédiat si patterns critiques
    if (patternResult.hasHighRiskPatterns) return false;

    // Rejet si pénalités trop élevées
    if (penaltyResult.totalPenalty <= -50) return false;

    // Rejet si sémantique insuffisante ET patterns suspects
    if (!semanticResult.passed && patternResult.hasMediumRiskPatterns) return false;

    return true;
  }

  calculateRiskLevel(patternResult, semanticResult) {
    if (patternResult.hasHighRiskPatterns) return 'critical';
    if (patternResult.totalRiskScore >= 15) return 'high';
    if (!semanticResult.passed || patternResult.hasMediumRiskPatterns) return 'medium';
    return 'low';
  }

  // === Cache et performances ===

  generateCacheKey(content, context) {
    const contentHash = this.simpleHash(content.content + content.title);
    const contextHash = this.simpleHash(JSON.stringify(context));
    return `validation:${contentHash}:${contextHash}`;
  }

  simpleHash(str) {
    let hash = 0;
    for (let i = 0; i < str.length; i++) {
      const char = str.charCodeAt(i);
      hash = ((hash << 5) - hash) + char;
      hash = hash & hash; // Convert to 32-bit integer
    }
    return hash.toString(36);
  }

  getFromCache(cacheKey) {
    const cached = this.validationCache.get(cacheKey);
    if (!cached) return null;

    if (Date.now() - cached.timestamp > this.cacheTimeout) {
      this.validationCache.delete(cacheKey);
      return null;
    }

    return cached.result;
  }

  cacheResult(cacheKey, result) {
    this.validationCache.set(cacheKey, {
      result,
      timestamp: Date.now()
    });

    // Nettoyage périodique du cache
    if (this.validationCache.size > 1000) {
      this.cleanupCache();
    }
  }

  cleanupCache() {
    const now = Date.now();
    for (const [key, cached] of this.validationCache.entries()) {
      if (now - cached.timestamp > this.cacheTimeout) {
        this.validationCache.delete(key);
      }
    }
  }

  // === Statistiques et monitoring ===

  updateValidationStats(result) {
    this.stats.averageProcessingTime = this.updateRunningAverage(
      this.stats.averageProcessingTime,
      result.processingTime,
      this.stats.totalValidated
    );

    this.stats.riskLevelDistribution[result.riskLevel]++;

    if (result.layers.patternDetection.hasHighRiskPatterns) {
      this.stats.injectionAttempts++;
    }

    if (!result.layers.semanticValidation.passed) {
      this.stats.semanticFailures++;
    }
  }

  updateRunningAverage(currentAvg, newValue, totalCount) {
    if (totalCount === 1) return newValue;
    const alpha = 1 / totalCount;
    return alpha * newValue + (1 - alpha) * currentAvg;
  }

  logValidationResult(result, content, context) {
    const logData = {
      contentId: content.id,
      riskLevel: result.riskLevel,
      isValid: result.isValid,
      processingTime: result.processingTime,
      patternsDetected: result.layers.patternDetection.totalPatterns,
      semanticScore: Math.round(result.layers.semanticValidation.semanticScore * 100),
      totalPenalty: result.layers.penalties.totalPenalty,
      raceCode: context.raceCode
    };

    switch (result.riskLevel) {
      case 'critical':
        logger.securityEvent('CRITICAL security threat detected', 'PROMPT_INJECTION', logData);
        break;
      case 'high':
        logger.securityEvent('HIGH security risk detected', 'SUSPICIOUS_CONTENT', logData);
        break;
      case 'medium':
        logger.warn('Medium security risk in content', logData);
        break;
      default:
        logger.debug('Content validation completed', logData);
    }
  }

  /**
   * Obtenir statistiques de sécurité
   */
  getSecurityStats() {
    const cacheStats = {
      size: this.validationCache.size,
      hitRate: this.stats.totalValidated > 0 ?
        (this.stats.totalValidated - this.stats.injectionAttempts - this.stats.semanticFailures) / this.stats.totalValidated : 0
    };

    return {
      ...this.stats,
      cache: cacheStats,
      engine: 'AntiInjectionEngine',
      version: '1.0',
      lastUpdate: new Date().toISOString()
    };
  }

  /**
   * Réinitialiser statistiques
   */
  resetStats() {
    this.stats = {
      totalValidated: 0,
      injectionAttempts: 0,
      semanticFailures: 0,
      falsePositives: 0,
      averageProcessingTime: 0,
      riskLevelDistribution: {
        low: 0,
        medium: 0,
        high: 0,
        critical: 0
      }
    };
  }

  /**
   * Health check du moteur de sécurité
   */
  async healthCheck() {
    try {
      const testContent = {
        id: 'health-check',
        title: 'Test de santé du système',
        content: 'Contenu de test pour validation du moteur de sécurité',
        sourceType: 'system'
      };

      const testContext = {
        raceCode: '352-1',
        clientId: 'health-check'
      };

      const result = await this.validateContent(testContent, testContext);

      return {
        status: 'healthy',
        engine: 'AntiInjectionEngine',
        testResult: {
          processed: true,
          processingTime: result.processingTime,
          riskLevel: result.riskLevel
        },
        stats: this.getSecurityStats(),
        cache: {
          size: this.validationCache.size,
          enabled: true
        }
      };

    } catch (error) {
      return {
        status: 'error',
        engine: 'AntiInjectionEngine',
        error: error.message
      };
    }
  }
}

module.exports = AntiInjectionEngine;