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isPaused = false;\n\n constructor(\n storage: BaseStorage,\n syncUrl: string,\n onProgress?: (progress: DownloadProgress) => void\n ) {\n this.storage = storage;\n this.syncUrl = syncUrl.replace(/\\/$/, '');\n this.onProgress = onProgress;\n }\n\n /**\n * Start or resume syncing a model\n */\n async startSync(modelId: string): Promise {\n this.abortController = new AbortController();\n this.isPaused = false;\n\n try {\n // Fetch model manifest\n const manifest = await this.fetchManifest(modelId);\n\n // Save model metadata\n await this.storage.setModelMeta(manifest.model);\n\n // Download tokenizer\n await this.downloadTokenizer(modelId, manifest.tokenizer);\n\n // Initialize progress tracking\n const existingProgress = await this.storage.getSyncProgress(modelId);\n const progressMap = new Map();\n for (const p of existingProgress) {\n progressMap.set(p.tensorName, p);\n }\n\n // Calculate total chunks\n let totalChunks = 0;\n let downloadedChunks = 0;\n for (const layer of manifest.layers) {\n for (const tensor of layer.tensors) {\n totalChunks += tensor.chunks.length;\n const existing = progressMap.get(tensor.name);\n if (existing) {\n downloadedChunks += existing.chunksDownloaded;\n }\n }\n }\n\n // Update progress\n this.currentProgress = {\n modelId,\n percent: (downloadedChunks / totalChunks) * 100,\n bytesDownloaded: 0,\n totalBytes: manifest.totalSize,\n layersComplete: 0,\n totalLayers: manifest.layers.length,\n status: 'downloading',\n };\n this.emitProgress();\n\n // Download layers progressively\n for (let i = 0; i < manifest.layers.length; i++) {\n const layer = manifest.layers[i];\n\n // Check for abort/pause\n if (this.abortController.signal.aborted) break;\n while (this.isPaused) {\n await new Promise((r) => setTimeout(r, 100));\n if (this.abortController.signal.aborted) break;\n }\n\n this.currentProgress.currentLayer = `Layer ${layer.layerIndex}`;\n this.emitProgress();\n\n // Download each tensor in the layer\n for (const tensor of layer.tensors) {\n await this.downloadTensor(\n modelId,\n layer.layerIndex,\n tensor,\n progressMap\n );\n }\n\n this.currentProgress.layersComplete = i + 1;\n this.emitProgress();\n }\n\n // Verify and mark complete\n this.currentProgress.status = 'verifying';\n this.emitProgress();\n\n const isComplete = await this.storage.isModelComplete(modelId);\n if (isComplete) {\n this.currentProgress.status = 'ready';\n this.currentProgress.percent = 100;\n } else {\n this.currentProgress.status = 'error';\n this.currentProgress.error = 'Download incomplete';\n }\n this.emitProgress();\n } catch (error) {\n if (this.currentProgress) {\n this.currentProgress.status = 'error';\n this.currentProgress.error =\n error instanceof Error ? error.message : 'Unknown error';\n this.emitProgress();\n }\n throw error;\n }\n }\n\n /**\n * Pause the current sync\n */\n async pauseSync(): Promise {\n this.isPaused = true;\n }\n\n /**\n * Resume the current sync\n */\n async resumeSync(): Promise {\n this.isPaused = false;\n }\n\n /**\n * Cancel the current sync\n */\n async cancelSync(): Promise {\n this.abortController?.abort();\n this.isPaused = false;\n this.currentProgress = null;\n }\n\n /**\n * Get current progress\n */\n getProgress(): DownloadProgress | null {\n return this.currentProgress;\n }\n\n /**\n * Check if syncing\n */\n isSyncing(): boolean {\n return (\n this.currentProgress !== null &&\n this.currentProgress.status === 'downloading'\n );\n }\n\n /**\n * Fetch model manifest from sync server\n */\n private async fetchManifest(modelId: string): Promise {\n const response = await fetch(\n `${this.syncUrl}/models/${modelId}/manifest.json`,\n { signal: this.abortController?.signal }\n );\n\n if (!response.ok) {\n throw new Error(`Failed to fetch manifest: ${response.statusText}`);\n }\n\n return response.json();\n }\n\n /**\n * Download tokenizer files\n */\n private async downloadTokenizer(\n modelId: string,\n tokenizerInfo: ModelManifest['tokenizer']\n ): Promise {\n // Check if already downloaded\n const existing = await this.storage.getTokenizer(modelId);\n if (existing) return;\n\n // Download vocab\n const vocabResponse = await fetch(tokenizerInfo.vocabUrl, {\n signal: this.abortController?.signal,\n });\n if (!vocabResponse.ok) {\n throw new Error(`Failed to download vocab: ${vocabResponse.statusText}`);\n }\n const vocab = await vocabResponse.arrayBuffer();\n\n // Download merges if present\n let merges: ArrayBuffer | undefined;\n if (tokenizerInfo.mergesUrl) {\n const mergesResponse = await fetch(tokenizerInfo.mergesUrl, {\n signal: this.abortController?.signal,\n });\n if (mergesResponse.ok) {\n merges = await mergesResponse.arrayBuffer();\n }\n }\n\n // Save tokenizer\n const tokenizerData: TokenizerData = {\n modelId,\n vocab,\n merges,\n specialTokens: tokenizerInfo.specialTokens,\n chatTemplate: tokenizerInfo.chatTemplate,\n };\n await this.storage.setTokenizer(tokenizerData);\n }\n\n /**\n * Download a tensor's chunks\n */\n private async downloadTensor(\n modelId: string,\n layerIndex: number,\n tensor: ModelManifest['layers'][0]['tensors'][0],\n progressMap: Map\n ): Promise {\n const existing = progressMap.get(tensor.name);\n const startChunk = existing?.chunksDownloaded ?? 0;\n\n for (let i = startChunk; i < tensor.chunks.length; i++) {\n // Check for abort\n if (this.abortController?.signal.aborted) return;\n while (this.isPaused) {\n await new Promise((r) => setTimeout(r, 100));\n if (this.abortController?.signal.aborted) return;\n }\n\n const chunk = tensor.chunks[i];\n\n // Download chunk\n const response = await fetch(chunk.url, {\n signal: this.abortController?.signal,\n });\n if (!response.ok) {\n throw new Error(`Failed to download chunk: ${response.statusText}`);\n }\n\n const data = await response.arrayBuffer();\n\n // Verify hash\n const hash = await this.computeHash(data);\n if (hash !== chunk.hash) {\n throw new Error(`Hash mismatch for ${tensor.name} chunk ${i}`);\n }\n\n // Store chunk\n 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ArrayBuffer): Promise {\n const hashBuffer = await crypto.subtle.digest('SHA-256', data);\n const hashArray = Array.from(new Uint8Array(hashBuffer));\n return hashArray.map((b) => b.toString(16).padStart(2, '0')).join('');\n }\n\n /**\n * Emit progress update\n */\n private emitProgress(): void {\n if (this.onProgress && this.currentProgress) {\n this.onProgress({ ...this.currentProgress });\n }\n }\n}\n","/**\n * Sync Factory\n *\n * Creates ModelSync instances.\n */\n\nimport { ModelSync } from './model-sync';\nimport type { BaseStorage } from '../storage/base-storage';\nimport type { DownloadProgress } from '../../types';\n\nexport interface SyncOptions {\n /** Sync server URL */\n syncUrl: string;\n /** Progress callback */\n onProgress?: (progress: DownloadProgress) => void;\n}\n\n/**\n * Create a model sync service\n */\nexport function createModelSync(\n storage: BaseStorage,\n options: SyncOptions\n): ModelSync {\n return new ModelSync(storage, options.syncUrl, options.onProgress);\n}\n\n/**\n * Default sync server URLs\n */\nexport const DEFAULT_SYNC_URLS = {\n production: 'https://models.affectively.ai',\n development: 'http://localhost:8787',\n} as const;\n"]}