class DynamicSchemaQueryTranslator {
  private readonly schemaAnalyzer: DynamicSchemaAnalyzer;
  private readonly semanticMapper: SemanticEntityMapper;
  private readonly queryGenerator: ContextAwareSQLGenerator;
  private readonly businessLogicEngine: BusinessLogicEngine;

  async translateQuery(
    naturalLanguageQuery: string,
    organizationSchema: OrganizationSchema
  ): Promise<TranslatedQuery> {

    // Analyze query intent and extract business concepts
    const queryIntent = await this.analyzeBusinessIntent(naturalLanguageQuery);

    // Dynamically analyze organization schema
    const schemaContext = await this.schemaAnalyzer.analyze(organizationSchema, {
      includeRelationships: true,
      inferBusinessContext: true,
      analyzeFieldSemantics: true
    });

    // Map natural language concepts to schema entities
    const entityMappings = await this.semanticMapper.mapConcepts(
      queryIntent.concepts,
      schemaContext.entities,
      {
        useSemanticSimilarity: true,
        considerBusinessContext: true,
        applyDomainKnowledge: true
      }
    );

    // Apply business logic validation
    const validatedMappings = await this.businessLogicEngine.validate(
      entityMappings,
      queryIntent,
      schemaContext
    );

    // Generate SQL with multi-tenant isolation
    const sqlQuery = await this.queryGenerator.generate(
      queryIntent,
      validatedMappings,
      {
        enforceTenantIsolation: true,
        optimizePerformance: true,
        includeSecurityConstraints: true
      }
    );

    return {
      sql: sqlQuery.statement,
      parameters: sqlQuery.parameters,
      confidence: this.calculateConfidence(queryIntent, validatedMappings),
      entityMappings: validatedMappings,
      businessContext: schemaContext,
      securityConstraints: sqlQuery.securityConstraints
    };
  }
}

class MultiTenantQueryIsolation {
  private readonly tenantSecurityManager: TenantSecurityManager;
  private readonly queryIsolationEngine: QueryIsolationEngine;
  private readonly accessControlValidator: AccessControlValidator;

  async enforceQueryIsolation(
    baseQuery: SQLQuery,
    organizationId: string,
    userId: string
  ): Promise<IsolatedQuery> {

    // Retrieve tenant security context
    const securityContext = await this.tenantSecurityManager.getContext(organizationId);

    // Apply tenant isolation constraints
    const isolatedQuery = await this.queryIsolationEngine.isolate(
      baseQuery,
      securityContext,
      {
        enforceRowLevelSecurity: true,
        applyDataMasking: true,
        limitCrossEntityAccess: true
      }
    );

    // Validate user access permissions
    const accessValidation = await this.accessControlValidator.validate(
      userId,
      isolatedQuery.accessedEntities,
      securityContext
    );

    if (!accessValidation.isValid) {
      throw new InsufficientPermissionsError(accessValidation.violations);
    }

    return {
      query: isolatedQuery.statement,
      parameters: isolatedQuery.parameters,
      tenantConstraints: isolatedQuery.constraints,
      accessLog: accessValidation.accessLog,
      securityMetadata: isolatedQuery.securityMetadata
    };
  }
}

class BusinessTemporalQueryEngine {
  private readonly fiscalCalendarManager: FiscalCalendarManager;
  private readonly businessCycleAnalyzer: BusinessCycleAnalyzer;
  private readonly temporalPatternLearner: TemporalPatternLearner;

  async parseBusinessTemporal(
    temporalExpression: string,
    organizationContext: OrganizationContext
  ): Promise<BusinessTemporalQuery> {

    // Understand organization's fiscal calendar
    const fiscalContext = await this.fiscalCalendarManager.getContext(
      organizationContext.organizationId,
      {
        fiscalYearStart: organizationContext.fiscalYearStart,
        reportingPeriods: organizationContext.reportingPeriods,
        businessDays: organizationContext.businessDayPatterns
      }
    );

    // Analyze business cycle patterns
    const cycleContext = await this.businessCycleAnalyzer.analyze(
      organizationContext.historicalData,
      organizationContext.industryType
    );

    // Learn organization-specific temporal patterns
    const learnedPatterns = await this.temporalPatternLearner.analyze(
      organizationContext.queryHistory,
      fiscalContext,
      cycleContext
    );

    // Resolve temporal expression with business context
    return this.resolveTemporalExpression(temporalExpression, {
      fiscal: fiscalContext,
      cycles: cycleContext,
      patterns: learnedPatterns,
      timezone: organizationContext.timezone
    });
  }
}

class SemanticFieldMapper {
  private readonly fieldSemanticAnalyzer: FieldSemanticAnalyzer;
  private readonly businessContextInferrer: BusinessContextInferrer;
  private readonly fieldTypeValidator: FieldTypeValidator;

  async mapFieldReferences(
    naturalLanguageReferences: string[],
    organizationSchema: EntitySchema[]
  ): Promise<FieldMappingResult> {

    const mappings = new Map<string, FieldMapping>();

    for (const reference of naturalLanguageReferences) {
      // Analyze semantic meaning of field reference
      const semanticAnalysis = await this.fieldSemanticAnalyzer.analyze(reference, {
        includeContextClues: true,
        inferDataType: true,
        identifyBusinessPurpose: true
      });

      // Find candidate fields in schema
      const candidateFields = this.findCandidateFields(
        semanticAnalysis,
        organizationSchema
      );

      // Rank candidates by semantic similarity and business context
      const rankedCandidates = await this.rankCandidates(
        candidateFields,
        semanticAnalysis,
        organizationSchema
      );

      // Select best mapping with confidence scoring
      const bestMapping = this.selectBestMapping(rankedCandidates);

      if (bestMapping.confidence > 0.8) {
        mappings.set(reference, bestMapping);
      } else {
        // Generate clarification request for ambiguous mappings
        mappings.set(reference, {
          ...bestMapping,
          requiresClarification: true,
          clarificationOptions: rankedCandidates.slice(0, 3)
        });
      }
    }

    return {
      mappings: Array.from(mappings.entries()),
      overallConfidence: this.calculateOverallConfidence(mappings),
      ambiguousReferences: this.identifyAmbiguousReferences(mappings)
    };
  }
}

class DynamicRelationshipQueryBuilder {
  private readonly relationshipInferrer: EntityRelationshipInferrer;
  private readonly joinOptimizer: JoinOptimizer;
  private readonly queryPathfinder: QueryPathfinder;

  async buildCrossEntityQuery(
    queryIntent: QueryIntent,
    involvedEntities: EntityReference[],
    organizationSchema: OrganizationSchema
  ): Promise<CrossEntityQuery> {

    // Infer relationships between involved entities
    const relationships = await this.relationshipInferrer.infer(
      involvedEntities,
      organizationSchema,
      {
        useSemanticSimilarity: true,
        analyzeFieldPatterns: true,
        considerBusinessLogic: true,
        learnFromQueryHistory: true
      }
    );

    // Find optimal path between entities
    const queryPath = await this.queryPathfinder.findOptimalPath(
      involvedEntities,
      relationships,
      queryIntent
    );

    // Build JOIN conditions
    const joinConditions = await this.buildJoinConditions(
      queryPath,
      relationships
    );

    // Optimize query structure
    const optimizedQuery = await this.joinOptimizer.optimize(
      queryIntent,
      joinConditions,
      {
        minimizeJoins: true,
        optimizePerformance: true,
        maintainDataIntegrity: true
      }
    );

    return {
      sql: optimizedQuery.statement,
      parameters: optimizedQuery.parameters,
      inferredRelationships: relationships,
      queryPath: queryPath,
      joinStrategy: optimizedQuery.joinStrategy,
      performanceMetrics: optimizedQuery.estimatedMetrics
    };
  }
}

class IntelligentAggregationEngine {
  private readonly intentAggregationMapper: IntentAggregationMapper;
  private readonly fieldTypeAnalyzer: FieldTypeAnalyzer;
  private readonly businessLogicValidator: BusinessLogicValidator;

  async inferAggregations(
    queryIntent: QueryIntent,
    selectedFields: FieldMapping[],
    businessContext: BusinessContext
  ): Promise<AggregationInference> {

    const aggregations = new Map<string, AggregationSpec>();

    for (const field of selectedFields) {
      // Analyze field type and data characteristics
      const fieldAnalysis = await this.fieldTypeAnalyzer.analyze(field, {
        includeStatisticalProperties: true,
        analyzeBusinessMeaning: true,
        considerDataDistribution: true
      });

      // Map query intent to appropriate aggregation
      const intentMapping = await this.intentAggregationMapper.map(
        queryIntent.semanticType,
        field.semanticMeaning,
        fieldAnalysis
      );

      // Validate aggregation makes business sense
      const validation = await this.businessLogicValidator.validate(
        intentMapping.suggestedAggregation,
        field,
        businessContext
      );

      if (validation.isValid) {
        aggregations.set(field.name, {
          function: intentMapping.suggestedAggregation,
          confidence: intentMapping.confidence,
          reasoning: intentMapping.reasoning,
          validation: validation.validationResults
        });
      } else {
        // Fallback to safe default aggregation
        aggregations.set(field.name, {
          function: this.getSafeDefaultAggregation(fieldAnalysis),
          confidence: 0.6,
          reasoning: 'Fallback due to validation failure',
          warnings: validation.warnings
        });
      }
    }

    return {
      aggregations: Array.from(aggregations.entries()),
      overallConfidence: this.calculateAggregationConfidence(aggregations),
      potentialIssues: this.identifyPotentialIssues(aggregations)
    };
  }
}

class AdaptiveQueryOptimizer {
  private readonly schemaStatsAnalyzer: DynamicSchemaStatsAnalyzer;
  private readonly queryPlanOptimizer: QueryPlanOptimizer;
  private readonly performancePredictor: PerformancePredictor;

  async optimizeForDynamicSchema(
    baseQuery: SQLQuery,
    schemaContext: SchemaContext,
    performanceRequirements: PerformanceRequirements
  ): Promise<OptimizedQuery> {

    // Analyze current schema statistics
    const schemaStats = await this.schemaStatsAnalyzer.analyze(
      schemaContext.entities,
      {
        includeDataDistribution: true,
        analyzeIndexUtilization: true,
        assessRelationshipCardinality: true
      }
    );

    // Generate multiple query plan candidates
    const queryPlans = await this.queryPlanOptimizer.generateCandidates(
      baseQuery,
      schemaStats,
      {
        maxPlans: 5,
        considerIndexHints: true,
        optimizeForResponsiveness: performanceRequirements.prioritizeSpeed
      }
    );

    // Predict performance for each plan
    const performancePredictions = await Promise.all(
      queryPlans.map(plan => 
        this.performancePredictor.predict(plan, schemaStats)
      )
    );

    // Select optimal plan based on requirements
    const optimalPlan = this.selectOptimalPlan(
      queryPlans,
      performancePredictions,
      performanceRequirements
    );

    return {
      optimizedSQL: optimalPlan.statement,
      parameters: optimalPlan.parameters,
      estimatedPerformance: performancePredictions[optimalPlan.index],
      optimizationReasoning: optimalPlan.reasoning,
      alternativePlans: queryPlans.filter(p => p !== optimalPlan)
    };
  }
}

Query Processing Characteristics:
- Consistently fast translation times under production load
- High-percentile performance suitable for real-time analytics
- Sustained high-throughput query processing capability
- Efficient resource utilization for enterprise deployment
- Predictable performance under varying query complexity