// Neural Network Layer Processing Service
// Mock/interface with configurable confidence

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


export interface NeuralVoteRequest {
  scbSignals: Record<string, unknown>;
  aiForecasts: Record<string, unknown>;
}

export interface NeuralVoteResult {
  confidence: number; // 0-100
  vote: 'approve' | 'reject' | 'pending';
  reasoning: string;
}

export class NceNeuralService {
  /**
   * Process neural vote
   * In production, this would use actual neural network models
   * For now, uses mock logic with configurable confidence
   */
  async processNeuralVote(request: NeuralVoteRequest): Promise<NeuralVoteResult> {
    // Mock neural network processing
    // In production, this would:
    // 1. Feed SCB signals to input layer
    // 2. Process through consensus layer
    // 3. Generate decision from decision layer
    // 4. Calculate confidence score

    const scbSignalCount = Object.keys(request.scbSignals).length;
    const aiForecastCount = Object.keys(request.aiForecasts).length;

    // Simple mock: confidence based on signal/forecast count and consistency
    let confidence = 50; // Base confidence

    // Increase confidence based on signal count (more signals = more confidence)
    confidence += Math.min(scbSignalCount * 5, 30);

    // Increase confidence based on AI forecast count
    confidence += Math.min(aiForecastCount * 3, 20);

    // Add some randomness to simulate neural network uncertainty
    confidence += (Math.random() - 0.5) * 10;

    // Clamp to 0-100
    confidence = Math.max(0, Math.min(100, confidence));

    let vote: 'approve' | 'reject' | 'pending' = 'pending';
    if (confidence >= 97) {
      vote = 'approve';
    } else if (confidence < 50) {
      vote = 'reject';
    }

    return {
      confidence,
      vote,
      reasoning: `Processed ${scbSignalCount} SCB signals and ${aiForecastCount} AI forecasts`,
    };
  }

  /**
   * Create neural layers
   */
  async createLayers(stateId: string, data: NeuralVoteRequest) {
    // Input layer
    const inputLayerId = `LAYER-INPUT-${uuidv4()}`;
    await prisma.neural_layers.create({
      data: {
        id: uuidv4(),
        layerId: inputLayerId,
        stateId,
        layerType: 'input',
        layerData: {
          scbSignals: data.scbSignals,
          aiForecasts: data.aiForecasts,
        } as Prisma.InputJsonValue,
        status: 'active',
        processedAt: new Date(),
        createdAt: new Date(),
        updatedAt: new Date(),
      },
    });

    // Process through neural network (mock)
    const voteResult = await this.processNeuralVote(data);

    // Consensus layer
    const consensusLayerId = `LAYER-CONSENSUS-${uuidv4()}`;
    await prisma.neural_layers.create({
      data: {
        id: uuidv4(),
        layerId: consensusLayerId,
        stateId,
        layerType: 'consensus',
        layerData: {
          processing: 'neural_consensus_algorithm',
        } as Prisma.InputJsonValue,
        output: {
          confidence: voteResult.confidence,
          vote: voteResult.vote,
        } as Prisma.InputJsonValue,
        status: 'active',
        processedAt: new Date(),
        createdAt: new Date(),
        updatedAt: new Date(),
      },
    });

    // Decision layer
    const decisionLayerId = `LAYER-DECISION-${uuidv4()}`;
    await prisma.neural_layers.create({
      data: {
        id: uuidv4(),
        layerId: decisionLayerId,
        stateId,
        layerType: 'decision',
        layerData: {
          decision: voteResult.vote,
        } as Prisma.InputJsonValue,
        output: {
          finalDecision: voteResult.vote,
          confidence: voteResult.confidence,
          reasoning: voteResult.reasoning,
        } as Prisma.InputJsonValue,
        status: 'active',
        processedAt: new Date(),
        createdAt: new Date(),
        updatedAt: new Date(),
      },
    });

    return {
      inputLayerId,
      consensusLayerId,
      decisionLayerId,
      voteResult,
    };
  }

  /**
   * Get layers for state
   */
  async getLayers(stateId: string) {
    return prisma.neural_layers.findMany({
      where: { stateId },
      orderBy: {
        processedAt: 'asc',
      },
    });
  }
}

export const nceNeuralService = new NceNeuralService();

