temp_SSA_SCAN/lib/ml/model-cache.ts

import type { ModelInfo } from './types';

const DB_NAME = 'ShoeDetectionModels';
const DB_VERSION = 1;
const STORE_NAME = 'models';

export interface CachedModel {
  id: string;
  variant: 'quantized' | 'standard' | 'full';
  data: ArrayBuffer;
  metadata: ModelInfo;
  timestamp: number;
  version: string;
}

/**
 * IndexedDB-based model cache for TensorFlow.js models
 */
export class ModelCache {
  private db: IDBDatabase | null = null;
  private initPromise: Promise<void> | null = null;

  constructor() {
    this.initPromise = this.init();
  }

  /**
   * Initialize IndexedDB
   */
  private async init(): Promise<void> {
    return new Promise((resolve, reject) => {
      const request = indexedDB.open(DB_NAME, DB_VERSION);

      request.onerror = () => {
        console.error('Failed to open IndexedDB:', request.error);
        reject(request.error);
      };

      request.onsuccess = () => {
        this.db = request.result;
        resolve();
      };

      request.onupgradeneeded = (event) => {
        const db = (event.target as IDBOpenDBRequest).result;
        
        // Create models store
        if (!db.objectStoreNames.contains(STORE_NAME)) {
          const store = db.createObjectStore(STORE_NAME, { keyPath: 'id' });
          store.createIndex('variant', 'variant', { unique: false });
          store.createIndex('timestamp', 'timestamp', { unique: false });
        }
      };
    });
  }

  /**
   * Ensure database is ready
   */
  private async ensureReady(): Promise<void> {
    if (this.initPromise) {
      await this.initPromise;
    }
    if (!this.db) {
      throw new Error('Database not initialized');
    }
  }

  /**
   * Cache a model in IndexedDB
   */
  async cacheModel(variant: 'quantized' | 'standard' | 'full', modelData: ArrayBuffer, metadata: ModelInfo): Promise<void> {
    await this.ensureReady();

    return new Promise((resolve, reject) => {
      const transaction = this.db!.transaction([STORE_NAME], 'readwrite');
      const store = transaction.objectStore(STORE_NAME);

      const cachedModel: CachedModel = {
        id: `shoe-detection-${variant}`,
        variant,
        data: modelData,
        metadata,
        timestamp: Date.now(),
        version: '1.0.0'
      };

      const request = store.put(cachedModel);

      request.onsuccess = () => {
        console.log(`Model ${variant} cached successfully`);
        resolve();
      };

      request.onerror = () => {
        console.error(`Failed to cache model ${variant}:`, request.error);
        reject(request.error);
      };
    });
  }

  /**
   * Retrieve a cached model
   */
  async getCachedModel(variant: 'quantized' | 'standard' | 'full'): Promise<CachedModel | null> {
    await this.ensureReady();

    return new Promise((resolve, reject) => {
      const transaction = this.db!.transaction([STORE_NAME], 'readonly');
      const store = transaction.objectStore(STORE_NAME);
      const request = store.get(`shoe-detection-${variant}`);

      request.onsuccess = () => {
        resolve(request.result || null);
      };

      request.onerror = () => {
        reject(request.error);
      };
    });
  }

  /**
   * Check if a model is cached and up to date
   */
  async isModelCached(variant: 'quantized' | 'standard' | 'full', requiredVersion: string): Promise<boolean> {
    try {
      const cached = await this.getCachedModel(variant);
      return cached !== null && cached.version === requiredVersion;
    } catch (error) {
      console.error('Error checking cached model:', error);
      return false;
    }
  }

  /**
   * Download and cache a model
   */
  async downloadAndCacheModel(variant: 'quantized' | 'standard' | 'full', modelInfo: ModelInfo, onProgress?: (progress: number) => void): Promise<ArrayBuffer> {
    console.log(`Downloading model ${variant} from ${modelInfo.url}`);

    const response = await fetch(modelInfo.url);
    
    if (!response.ok) {
      throw new Error(`Failed to download model: ${response.statusText}`);
    }

    const contentLength = response.headers.get('content-length');
    const total = contentLength ? parseInt(contentLength, 10) : 0;
    let loaded = 0;

    const reader = response.body?.getReader();
    const chunks: Uint8Array[] = [];

    if (!reader) {
      throw new Error('Failed to get response reader');
    }

    while (true) {
      const { done, value } = await reader.read();
      
      if (done) break;
      
      chunks.push(value);
      loaded += value.length;
      
      if (onProgress && total > 0) {
        onProgress((loaded / total) * 100);
      }
    }

    // Combine chunks into single ArrayBuffer
    const totalLength = chunks.reduce((acc, chunk) => acc + chunk.length, 0);
    const result = new Uint8Array(totalLength);
    let offset = 0;
    
    for (const chunk of chunks) {
      result.set(chunk, offset);
      offset += chunk.length;
    }

    const modelData = result.buffer;

    // Cache the model
    await this.cacheModel(variant, modelData, modelInfo);

    return modelData;
  }

  /**
   * Get or download a model
   */
  async getModel(variant: 'quantized' | 'standard' | 'full', modelInfo: ModelInfo, onProgress?: (progress: number) => void): Promise<ArrayBuffer> {
    // Check if model is already cached
    const isCache = await this.isModelCached(variant, '1.0.0');
    
    if (isCache) {
      console.log(`Using cached model ${variant}`);
      const cached = await this.getCachedModel(variant);
      return cached!.data;
    }

    // Download and cache the model
    return await this.downloadAndCacheModel(variant, modelInfo, onProgress);
  }

  /**
   * Clear old cached models
   */
  async clearOldModels(maxAge: number = 7 * 24 * 60 * 60 * 1000): Promise<void> {
    await this.ensureReady();

    const cutoffTime = Date.now() - maxAge;

    return new Promise((resolve, reject) => {
      const transaction = this.db!.transaction([STORE_NAME], 'readwrite');
      const store = transaction.objectStore(STORE_NAME);
      const index = store.index('timestamp');
      const range = IDBKeyRange.upperBound(cutoffTime);
      
      const request = index.openCursor(range);
      
      request.onsuccess = (event) => {
        const cursor = (event.target as IDBRequest).result;
        
        if (cursor) {
          cursor.delete();
          cursor.continue();
        } else {
          console.log('Old models cleared');
          resolve();
        }
      };

      request.onerror = () => {
        reject(request.error);
      };
    });
  }

  /**
   * Get cache storage usage
   */
  async getCacheStats(): Promise<{ totalSize: number; modelCount: number; models: string[] }> {
    await this.ensureReady();

    return new Promise((resolve, reject) => {
      const transaction = this.db!.transaction([STORE_NAME], 'readonly');
      const store = transaction.objectStore(STORE_NAME);
      const request = store.getAll();

      request.onsuccess = () => {
        const models = request.result as CachedModel[];
        const totalSize = models.reduce((sum, model) => sum + model.data.byteLength, 0);
        const modelNames = models.map(m => m.variant);

        resolve({
          totalSize,
          modelCount: models.length,
          models: modelNames
        });
      };

      request.onerror = () => {
        reject(request.error);
      };
    });
  }
}