// ============================================================================= // WasmRecommendationEngine.swift // High-performance WASM-based recommendation engine for iOS // Compatible with WasmKit runtime // ============================================================================= import Foundation // MARK: - Types /// Content metadata for embedding generation public struct ContentMetadata { public let id: UInt64 public let contentType: ContentType public let durationSecs: UInt32 public let categoryFlags: UInt32 public let popularity: Float public let recency: Float public enum ContentType: UInt8 { case video = 0 case audio = 1 case image = 2 case text = 3 } public init( id: UInt64, contentType: ContentType, durationSecs: UInt32 = 0, categoryFlags: UInt32 = 0, popularity: Float = 0.5, recency: Float = 0.5 ) { self.id = id self.contentType = contentType self.durationSecs = durationSecs self.categoryFlags = categoryFlags self.popularity = popularity self.recency = recency } } /// User vibe/preference state public struct VibeState { public var energy: Float // 0.0 = calm, 1.0 = energetic public var mood: Float // -1.0 = negative, 1.0 = positive public var focus: Float // 0.0 = relaxed, 1.0 = focused public var timeContext: Float // 0.0 = morning, 1.0 = night public var preferences: (Float, Float, Float, Float) public init( energy: Float = 0.5, mood: Float = 0.0, focus: Float = 0.5, timeContext: Float = 0.5, preferences: (Float, Float, Float, Float) = (0, 0, 0, 0) ) { self.energy = energy self.mood = mood self.focus = focus self.timeContext = timeContext self.preferences = preferences } } /// User interaction types public enum InteractionType: UInt8 { case view = 0 case like = 1 case share = 2 case skip = 3 case complete = 4 case dismiss = 5 } /// User interaction event public struct UserInteraction { public let contentId: UInt64 public let interaction: InteractionType public let timeSpent: Float public let position: UInt8 public init( contentId: UInt64, interaction: InteractionType, timeSpent: Float = 0, position: UInt8 = 0 ) { self.contentId = contentId self.interaction = interaction self.timeSpent = timeSpent self.position = position } } /// Recommendation result public struct Recommendation { public let contentId: UInt64 public let score: Float } // MARK: - WasmRecommendationEngine /// High-performance recommendation engine powered by WebAssembly /// /// Usage: /// ```swift /// let engine = try WasmRecommendationEngine(wasmPath: Bundle.main.url(forResource: "recommendation", withExtension: "wasm")!) /// engine.setVibe(VibeState(energy: 0.8, mood: 0.5)) /// let recs = try engine.recommend(candidates: [1, 2, 3, 4, 5], topK: 3) /// ``` public class WasmRecommendationEngine { // MARK: - WASM Function References // These would be populated by WasmKit's module instantiation private let wasmModule: Any // WasmKit.Module private let wasmInstance: Any // WasmKit.Instance // Function pointers (simulated for demonstration) private var initFunc: ((UInt32, UInt32) -> Int32)? private var embedContentFunc: ((UInt64, UInt8, UInt32, UInt32, Float, Float) -> UnsafePointer?)? private var setVibeFunc: ((Float, Float, Float, Float, Float, Float, Float, Float) -> Void)? private var getRecommendationsFunc: ((UnsafePointer, UInt32, UInt32, UnsafeMutablePointer) -> UInt32)? private var updateLearningFunc: ((UInt64, UInt8, Float, UInt8) -> Void)? private var computeSimilarityFunc: ((UInt64, UInt64) -> Float)? private var saveStateFunc: (() -> UInt32)? private var loadStateFunc: ((UnsafePointer, UInt32) -> Int32)? private var getEmbeddingDimFunc: (() -> UInt32)? private var getExplorationRateFunc: (() -> Float)? private var getUpdateCountFunc: (() -> UInt64)? private let embeddingDim: Int private let numActions: Int // MARK: - Initialization /// Initialize the recommendation engine with a WASM module /// - Parameters: /// - wasmPath: URL to the recommendation.wasm file /// - embeddingDim: Embedding dimension (default: 64) /// - numActions: Number of action slots (default: 100) public init( wasmPath: URL, embeddingDim: Int = 64, numActions: Int = 100 ) throws { self.embeddingDim = embeddingDim self.numActions = numActions // Load WASM module // In real implementation, use WasmKit: // let runtime = Runtime() // let wasmData = try Data(contentsOf: wasmPath) // module = try Module(bytes: Array(wasmData)) // instance = try module.instantiate(runtime: runtime) self.wasmModule = NSNull() // Placeholder self.wasmInstance = NSNull() // Placeholder // Bind exported functions try bindExports() // Initialize engine let result = initFunc?(UInt32(embeddingDim), UInt32(numActions)) ?? -1 guard result == 0 else { throw WasmEngineError.initializationFailed } } /// Bind WASM exported functions private func bindExports() throws { // In real implementation with WasmKit: // initFunc = instance.exports["init"] as? Function // embedContentFunc = instance.exports["embed_content"] as? Function // ... etc // For demonstration, these would be populated from the WASM instance } // MARK: - Content Embedding /// Generate embedding for content /// - Parameter content: Content metadata /// - Returns: Embedding vector as Float array public func embed(content: ContentMetadata) async throws -> [Float] { guard let embedFunc = embedContentFunc else { throw WasmEngineError.functionNotFound("embed_content") } guard let ptr = embedFunc( content.id, content.contentType.rawValue, content.durationSecs, content.categoryFlags, content.popularity, content.recency ) else { throw WasmEngineError.embeddingFailed } // Copy embedding from WASM memory let buffer = UnsafeBufferPointer(start: ptr, count: embeddingDim) return Array(buffer) } // MARK: - Vibe State /// Set the current user vibe state /// - Parameter vibe: User's current vibe/mood state public func setVibe(_ vibe: VibeState) { setVibeFunc?( vibe.energy, vibe.mood, vibe.focus, vibe.timeContext, vibe.preferences.0, vibe.preferences.1, vibe.preferences.2, vibe.preferences.3 ) } // MARK: - Recommendations /// Get recommendations based on current vibe and history /// - Parameters: /// - candidates: Array of candidate content IDs /// - topK: Number of recommendations to return /// - Returns: Array of recommendations sorted by score public func recommend( candidates: [UInt64], topK: Int = 10 ) async throws -> [Recommendation] { guard let getRecsFunc = getRecommendationsFunc else { throw WasmEngineError.functionNotFound("get_recommendations") } // Prepare output buffer (12 bytes per recommendation: 8 for ID + 4 for score) let outputSize = topK * 12 var outputBuffer = [UInt8](repeating: 0, count: outputSize) let count = candidates.withUnsafeBufferPointer { candidatesPtr in outputBuffer.withUnsafeMutableBufferPointer { outputPtr in getRecsFunc( candidatesPtr.baseAddress!, UInt32(candidates.count), UInt32(topK), outputPtr.baseAddress! ) } } // Parse results var recommendations: [Recommendation] = [] for i in 0.. Float { return computeSimilarityFunc?(idA, idB) ?? 0.0 } // MARK: - State Persistence /// Save engine state for persistence /// - Returns: Serialized state data public func saveState() throws -> Data { guard let saveFunc = saveStateFunc else { throw WasmEngineError.functionNotFound("save_state") } let size = saveFunc() guard size > 0 else { throw WasmEngineError.saveFailed } // Read from WASM memory at the memory pool location // In real implementation, get pointer from get_memory_ptr() return Data() // Placeholder } /// Load engine state from persisted data /// - Parameter data: Previously saved state data public func loadState(_ data: Data) throws { guard let loadFunc = loadStateFunc else { throw WasmEngineError.functionNotFound("load_state") } let result = data.withUnsafeBytes { ptr in loadFunc(ptr.baseAddress!.assumingMemoryBound(to: UInt8.self), UInt32(data.count)) } guard result == 0 else { throw WasmEngineError.loadFailed } } // MARK: - Statistics /// Get current exploration rate public var explorationRate: Float { return getExplorationRateFunc?() ?? 0.0 } /// Get total learning updates public var updateCount: UInt64 { return getUpdateCountFunc?() ?? 0 } /// Get embedding dimension public var dimension: Int { return Int(getEmbeddingDimFunc?() ?? 0) } } // MARK: - State Manager /// Actor for thread-safe state persistence public actor WasmStateManager { private let stateURL: URL public init(stateURL: URL? = nil) { self.stateURL = stateURL ?? FileManager.default .urls(for: .documentDirectory, in: .userDomainMask)[0] .appendingPathComponent("recommendation_state.bin") } /// Save state to disk public func saveState(_ data: Data) async throws { try data.write(to: stateURL, options: .atomic) } /// Load state from disk public func loadState() async throws -> Data? { guard FileManager.default.fileExists(atPath: stateURL.path) else { return nil } return try Data(contentsOf: stateURL) } /// Delete saved state public func clearState() async throws { if FileManager.default.fileExists(atPath: stateURL.path) { try FileManager.default.removeItem(at: stateURL) } } } // MARK: - Errors public enum WasmEngineError: Error, LocalizedError { case initializationFailed case functionNotFound(String) case embeddingFailed case saveFailed case loadFailed case invalidInput(String) public var errorDescription: String? { switch self { case .initializationFailed: return "Failed to initialize WASM recommendation engine" case .functionNotFound(let name): return "WASM function not found: \(name)" case .embeddingFailed: return "Failed to generate content embedding" case .saveFailed: return "Failed to save engine state" case .loadFailed: return "Failed to load engine state" case .invalidInput(let message): return "Invalid input: \(message)" } } } // MARK: - Extensions extension ContentMetadata { /// Create from dictionary (useful for decoding from API) public init?(from dict: [String: Any]) { guard let id = dict["id"] as? UInt64, let typeRaw = dict["type"] as? UInt8, let type = ContentType(rawValue: typeRaw) else { return nil } self.init( id: id, contentType: type, durationSecs: dict["duration"] as? UInt32 ?? 0, categoryFlags: dict["categories"] as? UInt32 ?? 0, popularity: dict["popularity"] as? Float ?? 0.5, recency: dict["recency"] as? Float ?? 0.5 ) } }