// FACE Behavioral Engine Service
import { Prisma } from '@prisma/client';
import prisma from '@/shared/database/prisma';
import { v4 as uuidv4 } from 'uuid';


export interface CreateBehavioralEngineRequest {
  economyId: string;
  engineConfig: Record<string, unknown>;
  behaviorModel: string;
}

export class FaceBehavioralService {
  /**
   * Create or update behavioral engine
   */
  async createBehavioralEngine(request: CreateBehavioralEngineRequest) {
    // Check if engine already exists
    const existing = await prisma.faceBehavioralEngine.findUnique({
      where: { economyId: request.economyId },
    });

    if (existing) {
      return prisma.faceBehavioralEngine.update({
        where: { engineId: existing.engineId },
        data: {
          engineConfig: request.engineConfig as Prisma.InputJsonValue,
          behaviorModel: request.behaviorModel,
          lastUpdated: new Date(),
        },
      });
    }

    const engineId = `FACE-BE-${uuidv4()}`;

    const engine = await prisma.faceBehavioralEngine.create({
      data: {
        engineId,
        economyId: request.economyId,
        engineConfig: request.engineConfig as Prisma.InputJsonValue,
        behaviorModel: request.behaviorModel,
        status: 'active',
        lastUpdated: new Date(),
      },
    });

    return engine;
  }

  /**
   * Get behavioral engine for economy
   */
  async getBehavioralEngine(economyId: string) {
    const engine = await prisma.faceBehavioralEngine.findUnique({
      where: { economyId },
      include: {
        economy: true,
      },
    });

    if (!engine) {
      throw new Error(`Behavioral engine not found for economy: ${economyId}`);
    }

    return engine;
  }

  /**
   * Analyze behavior (integrates with SARE from Volume V)
   */
  async analyzeBehavior(economyId: string, behaviorData: Record<string, unknown>) {
    const engine = await this.getBehavioralEngine(economyId);

    // In production, this would:
    // 1. Feed behavior data to AI model
    // 2. Integrate with SARE (Sovereign AI Risk Engine) from Volume V
    // 3. Generate behavioral insights and predictions

    // Mock analysis
    const analysis = {
      velocity: behaviorData.velocity as number || 0,
      circulation: behaviorData.circulation as number || 0,
      riskLevel: 'medium',
      recommendations: [] as string[],
    };

    if (analysis.velocity < 0.5) {
      analysis.recommendations.push('Low velocity detected - consider supply adjustment');
    }

    if (analysis.velocity > 2.0) {
      analysis.recommendations.push('High velocity detected - consider stabilization measures');
    }

    return analysis;
  }
}

export const faceBehavioralService = new FaceBehavioralService();

