// ATLAS INTELLIGENCE SYSTEM
// A conceptual implementation integrating VisionOS, Apple Intelligence, and Tesla API

// --------- 1. PROJECT STRUCTURE ---------
/*
AtlasIntelligence/
├── Sources/
│   ├── Core/
│   │   ├── AtlasCore.swift
│   │   ├── NeuralEngine.swift
│   │   └── RecursiveThinking.swift
│   ├── Vision/
│   │   ├── VisionInterface.swift
│   │   ├── SpatialComputing.swift
│   │   └── RealityViews.swift
│   ├── Integration/
│   │   ├── AppleIntelligence.swift
│   │   ├── TeslaConnection.swift
│   │   └── iCloudSync.swift
│   ├── Payment/
│   │   └── TapToPay.swift
│   └── App/
│       └── AtlasApp.swift
└── Resources/
    └── Models/
        └── atlas_model.mlpackage
*/

// --------- 2. CORE AI ENGINE ---------

// AtlasCore.swift - Main intelligence coordinator
import Foundation
import CoreML
import NaturalLanguage
import CreateML

/// The central AI system for Atlas Intelligence
class AtlasCore {
    // Core AI components
    private let neuralEngine: NeuralEngine
    private let recursiveThinking: RecursiveThinking
    private let contextManager: ContextManager
    
    // Integration components
    private let appleIntelligence: AppleIntelligence
    private let teslaConnection: TeslaConnection
    private let iCloudSync: iCloudSync
    
    // Initialize the system
    init() {
        self.neuralEngine = NeuralEngine()
        self.recursiveThinking = RecursiveThinking()
        self.contextManager = ContextManager()
        
        self.appleIntelligence = AppleIntelligence()
        self.teslaConnection = TeslaConnection()
        self.iCloudSync = iCloudSync()
        
        // Load ML models and initialize systems
        loadModels()
    }
    
    private func loadModels() {
        // Load pre-trained CoreML models
        do {
            try neuralEngine.loadModel(named: "atlas_quantum_network")
            try recursiveThinking.loadModel(named: "recursive_reasoning")
        } catch {
            print("Error loading models: \(error)")
        }
    }
    
    /// Process user input with multi-step reasoning
    func processInput(_ input: String, context: UserContext) async throws -> AtlasResponse {
        // First-level processing
        let initialContext = contextManager.getCurrentContext()
        let initialAnalysis = try await neuralEngine.analyze(input, withContext: initialContext)
        
        // Recursive thinking to refine understanding
        let deepAnalysis = try await recursiveThinking.deepProcess(
            input: input,
            initialAnalysis: initialAnalysis,
            maxRecursionDepth: 3
        )
        
        // Generate response based on analysis
        let response = try await generateResponse(from: deepAnalysis, context: context)
        
        // Update context for future interactions
        contextManager.updateContext(with: input, response: response)
        
        return response
    }
    
    /// Generate a coherent response based on the AI's analysis
    private func generateResponse(from analysis: DeepAnalysis, context: UserContext) async throws -> AtlasResponse {
        // Decision process to determine the best response
        let intent = analysis.primaryIntent
        
        switch intent {
        case .informationQuery:
            return try await neuralEngine.generateInformationalResponse(for: analysis)
        case .actionRequest:
            return try await handleActionRequest(analysis, context: context)
        case .conversation:
            return try await neuralEngine.generateConversationalResponse(for: analysis)
        default:
            throw AtlasError.unrecognizedIntent
        }
    }
    
    /// Handle requests that require action (Tesla control, payments, etc.)
    private func handleActionRequest(_ analysis: DeepAnalysis, context: UserContext) async throws -> AtlasResponse {
        let actionType = analysis.actionRequest.type
        
        switch actionType {
        case .teslaControl:
            return try await teslaConnection.executeCommand(analysis.actionRequest)
        case .payment:
            return try await handlePaymentRequest(analysis.actionRequest, context: context)
        case .appleSpatial:
            return try await appleIntelligence.executeSpatialCommand(analysis.actionRequest)
        default:
            throw AtlasError.unsupportedAction
        }
    }
    
    /// Process payment requests
    private func handlePaymentRequest(_ request: ActionRequest, context: UserContext) async throws -> AtlasResponse {
        // Verify security context and authentication
        guard context.isAuthenticated && context.paymentAuthorized else {
            throw AtlasError.unauthorizedPayment
        }
        
        // Process through secure payment channel
        let paymentProcessor = TapToPay()
        return try await paymentProcessor.processPayment(request.paymentDetails)
    }
}

// NeuralEngine.swift - Advanced neural network implementation
import Foundation
import CoreML
import NaturalLanguage

/// Neural processing engine that drives core intelligence
class NeuralEngine {
    private var model: MLModel?
    private let embeddingProvider: NLEmbedding?
    private let tokenizer: NLTokenizer
    
    init() {
        self.tokenizer = NLTokenizer(unit: .word)
        self.embeddingProvider = NLEmbedding.wordEmbedding(for: .english)
    }
    
    /// Load a CoreML model for neural processing
    func loadModel(named name: String) throws {
        let modelURL = Bundle.main.url(forResource: name, withExtension: "mlmodelc")!
        self.model = try MLModel(contentsOf: modelURL)
    }
    
    /// Analyze user input with context
    func analyze(_ input: String, withContext context: Context) async throws -> Analysis {
        // Tokenize and process input
        tokenizer.string = input
        let tokens = tokenizer.tokens(for: input.startIndex..<input.endIndex)
        
        // Generate word embeddings
        let embeddings = tokens.compactMap { token -> [Float]? in
            let word = String(input[token])
            return embeddingProvider?.vector(for: word)?.map { Float($0) }
        }
        
        // Process through neural network
        let inputFeatures = try createInputFeatures(embeddings: embeddings, context: context)
        let prediction = try model?.prediction(from: inputFeatures)
        
        // Interpret model output into structured analysis
        return try interpretModelOutput(prediction)
    }
    
    /// Create ML features from text embeddings and context
    private func createInputFeatures(embeddings: [[Float]], context: Context) throws -> MLFeatureProvider {
        // Combine embeddings with context into ML features
        // Implementation would depend on specific model architecture
        fatalError("Implementation required based on model architecture")
    }
    
    /// Interpret raw model output into structured analysis
    private func interpretModelOutput(_ output: MLFeatureProvider?) throws -> Analysis {
        // Transform model outputs into semantically meaningful structures
        // Implementation would depend on model architecture and output format
        fatalError("Implementation required based on model architecture")
    }
    
    /// Generate informational responses based on analysis
    func generateInformationalResponse(for analysis: DeepAnalysis) async throws -> AtlasResponse {
        // Generate coherent, informative response based on analysis
        // Uses the model to generate natural language from semantic representation
        fatalError("Implementation required")
    }
    
    /// Generate conversational responses
    func generateConversationalResponse(for analysis: DeepAnalysis) async throws -> AtlasResponse {
        // Generate natural-sounding conversational response
        fatalError("Implementation required")
    }
}

// RecursiveThinking.swift - Implements multi-step reasoning
import Foundation
import CoreML

/// Advanced reasoning capabilities with recursive processing
class RecursiveThinking {
    private var model: MLModel?
    
    func loadModel(named name: String) throws {
        let modelURL = Bundle.main.url(forResource: name, withExtension: "mlmodelc")!
        self.model = try MLModel(contentsOf: modelURL)
    }
    
    /// Process input through multiple reasoning steps
    func deepProcess(input: String, initialAnalysis: Analysis, maxRecursionDepth: Int) async throws -> DeepAnalysis {
        var currentAnalysis = initialAnalysis
        var reasoning: [ReasoningStep] = []
        
        // Recursive reasoning process
        for depth in 0..<maxRecursionDepth {
            // Generate questions about own analysis
            let questions = generateSelfQuestions(from: currentAnalysis, depth: depth)
            
            // Answer each question to refine understanding
            let refinements = try await questions.map { question in
                try await answerSelfQuestion(question, currentAnalysis: currentAnalysis)
            }
            
            // Integrate refinements into analysis
            currentAnalysis = integrateRefinements(currentAnalysis, refinements: refinements)
            
            // Record reasoning step
            reasoning.append(ReasoningStep(
                depth: depth,
                questions: questions,
                refinements: refinements
            ))
            
            // Check if further refinement would be beneficial
            if isRefinementComplete(currentAnalysis, reasoning: reasoning) {
                break
            }
        }
        
        // Construct final deep analysis
        return DeepAnalysis(
            baseAnalysis: initialAnalysis,
            refinedAnalysis: currentAnalysis,
            reasoningSteps: reasoning
        )
    }
    
    /// Generate questions to probe understanding
    private func generateSelfQuestions(from analysis: Analysis, depth: Int) -> [String] {
        // Implementation would generate relevant questions about current understanding
        fatalError("Implementation required")
    }
    
    /// Answer self-generated questions to refine understanding
    private func answerSelfQuestion(_ question: String, currentAnalysis: Analysis) async throws -> Refinement {
        // Implementation would answer questions using current understanding
        fatalError("Implementation required")
    }
    
    /// Integrate refinements into current analysis
    private func integrateRefinements(_ analysis: Analysis, refinements: [Refinement]) -> Analysis {
        // Implementation would update analysis with new insights
        fatalError("Implementation required")
    }
    
    /// Determine if refinement process is complete
    private func isRefinementComplete(_ analysis: Analysis, reasoning: [ReasoningStep]) -> Bool {
        // Implementation would check if further refinement would be beneficial
        fatalError("Implementation required")
    }
}

// ContextManager.swift - Manages conversational context
import Foundation

/// Manages and updates conversation context
class ContextManager {
    private var contextHistory: [Context] = []
    
    /// Get current context for processing
    func getCurrentContext() -> Context {
        return contextHistory.last ?? Context.empty
    }
    
    /// Update context with new interaction
    func updateContext(with input: String, response: AtlasResponse) {
        let newContext = Context(
            timestamp: Date(),
            userInput: input,
            systemResponse: response,
            previousContext: getCurrentContext()
        )
        
        contextHistory.append(newContext)
        
        // Trim context history if too long
        if contextHistory.count > 10 {
            contextHistory.removeFirst()
        }
    }
}

// --------- 3. VISION OS INTEGRATION ---------

// VisionInterface.swift - Interface with VisionOS
import SwiftUI
import RealityKit
import RealityKitContent

/// Manages integration with VisionOS spatial environment
struct VisionInterface {
    private let spatialComputing: SpatialComputing
    
    init() {
        self.spatialComputing = SpatialComputing()
    }
    
    /// Create immersive UI element
    func createImmersiveElement(for response: AtlasResponse) -> some View {
        // If response includes spatial content
        if response.hasSpatialContent {
            return spatialComputing.createSpatialView(for: response)
        } else {
            // Return standard UI element
            return AtlasResponseView(response: response)
        }
    }
    
    /// Process spatial gestures
    func processGesture(_ gesture: SpatialGesture) -> GestureIntent {
        return spatialComputing.interpretGesture(gesture)
    }
    
    /// Interpret environment data
    func processEnvironmentData(_ environmentData: EnvironmentData) -> EnvironmentContext {
        return spatialComputing.analyzeEnvironment(environmentData)
    }
}

// SpatialComputing.swift - Handles spatial computing features
import RealityKit
import ARKit
import SwiftUI

/// Core spatial computing capabilities
struct SpatialComputing {
    /// Create a spatial interface for responses
    func createSpatialView(for response: AtlasResponse) -> some View {
        // Create appropriate spatial UI elements based on response type
        switch response.spatialContentType {
        case .floatingPanel:
            return FloatingPanelView(content: response.content)
        case .virtualObject:
            return VirtualObjectView(model: response.modelContent)
        case .environmentOverlay:
            return EnvironmentOverlayView(overlay: response.overlayContent)
        default:
            return DefaultResponseView(response: response)
        }
    }
    
    /// Interpret spatial gestures
    func interpretGesture(_ gesture: SpatialGesture) -> GestureIntent {
        // Analyze gesture and determine user intent
        switch gesture.type {
        case .tap:
            return GestureIntent.select(position: gesture.position)
        case .swipe:
            return GestureIntent.scroll(direction: gesture.direction)
        case .pinch:
            return GestureIntent.zoom(scale: gesture.scale)
        default:
            return GestureIntent.unknown
        }
    }
    
    /// Analyze spatial environment
    func analyzeEnvironment(_ environmentData: EnvironmentData) -> EnvironmentContext {
        // Process environment data to provide context to AI
        let surfaces = detectSurfaces(from: environmentData.depthData)
        let lighting = analyzeLighting(from: environmentData.lightEstimate)
        let objects = identifyObjects(from: environmentData.sceneReconstruction)
        
        return EnvironmentContext(
            surfaces: surfaces,
            lighting: lighting,
            identifiedObjects: objects,
            spatialAnchors: environmentData.anchors
        )
    }
    
    // Helper functions for environment analysis
    private func detectSurfaces(from depthData: ARDepthData) -> [Surface] {
        // Implementation to detect surfaces from depth data
        fatalError("Implementation required")
    }
    
    private func analyzeLighting(from lightEstimate: ARLightEstimate) -> LightingContext {
        // Implementation to analyze lighting conditions
        fatalError("Implementation required")
    }
    
    private func identifyObjects(from sceneReconstruction: ARSceneReconstruction) -> [IdentifiedObject] {
        // Implementation to identify objects in environment
        fatalError("Implementation required")
    }
}

// RealityViews.swift - SwiftUI views for VisionOS
import SwiftUI
import RealityKit

/// Floating panel view for Atlas responses
struct FloatingPanelView: View {
    let content: String
    
    var body: some View {
        VStack {
            Text("Atlas Intelligence")
                .font(.headline)
            
            Divider()
            
            Text(content)
                .padding()
            
            // Interactive elements would go here
            HStack {
                Button("More") {
                    // Expand view
                }
                
                Spacer()
                
                Button("Respond") {
                    // Activate voice response
                }
            }
            .padding()
        }
        .frame(width: 400, height: 300)
        .background(.ultraThinMaterial)
        .cornerRadius(20)
        .hoverEffect()
    }
}

/// Virtual 3D object view
struct VirtualObjectView: View {
    let model: ModelEntity
    
    var body: some View {
        RealityView { content in
            content.add(model)
        }
        .gesture(TapGesture().onEnded { _ in
            // Handle interaction with virtual object
        })
    }
}

/// Environment overlay view
struct EnvironmentOverlayView: View {
    let overlay: EnvironmentOverlay
    
    var body: some View {
        ZStack {
            // Render overlay elements
            ForEach(overlay.elements) { element in
                element.view
                    .position(element.position)
            }
        }
    }
}

/// Default response view
struct DefaultResponseView: View {
    let response: AtlasResponse
    
    var body: some View {
        Text(response.content)
            .padding()
            .background(.ultraThinMaterial)
            .cornerRadius(12)
    }
}

// --------- 4. INTEGRATION COMPONENTS ---------

// AppleIntelligence.swift - Integration with Apple's AI systems
import Foundation
import NaturalLanguage
import Vision
import SoundAnalysis

/// Integration with Apple Intelligence
class AppleIntelligence {
    private let audioEngine: SNAudioEngine
    private let visionProcessor: VNImageRequestHandler
    
    init() {
        self.audioEngine = SNAudioEngine()
        self.visionProcessor = VNImageRequestHandler()
    }
    
    /// Execute spatial commands using Apple Intelligence
    func executeSpatialCommand(_ command: ActionRequest) async throws -> AtlasResponse {
        // Delegate to appropriate Apple system based on command
        switch command.spatialType {
        case .objectDetection:
            return try await performObjectDetection(command)
        case .spatialAudio:
            return try await configureSpatialAudio(command)
        case .textRecognition:
            return try await performTextRecognition(command)
        default:
            throw IntegrationError.unsupportedSpatialCommand
        }
    }
    
    /// Perform object detection
    private func performObjectDetection(_ command: ActionRequest) async throws -> AtlasResponse {
        // Implementation would use Vision framework for object detection
        fatalError("Implementation required")
    }
    
    /// Configure spatial audio
    private func configureSpatialAudio(_ command: ActionRequest) async throws -> AtlasResponse {
        // Implementation would configure spatial audio
        fatalError("Implementation required")
    }
    
    /// Perform text recognition in environment
    private func performTextRecognition(_ command: ActionRequest) async throws -> AtlasResponse {
        // Implementation would use Vision framework for text recognition
        fatalError("Implementation required")
    }
}

// TeslaConnection.swift - Integration with Tesla API
import Foundation

/// Integration with Tesla vehicles
class TeslaConnection {
    private let apiClient: TeslaAPIClient
    private var authToken: String?
    
    init() {
        self.apiClient = TeslaAPIClient()
    }
    
    /// Authenticate with Tesla API
    func authenticate(using credentials: TeslaCredentials) async throws {
        self.authToken = try await apiClient.authenticate(credentials)
    }
    
    /// Execute commands on Tesla vehicle
    func executeCommand(_ command: ActionRequest) async throws -> AtlasResponse {
        guard let authToken = authToken else {
            throw TeslaError.notAuthenticated
        }
        
        // Execute command via Tesla API
        switch command.teslaCommandType {
        case .climate:
            return try await executeClimateCommand(command, token: authToken)
        case .charging:
            return try await executeChargingCommand(command, token: authToken)
        case .vehicle:
            return try await executeVehicleCommand(command, token: authToken)
        default:
            throw TeslaError.unsupportedCommand
        }
    }
    
    /// Tesla API interaction for climate controls
    private func executeClimateCommand(_ command: ActionRequest, token: String) async throws -> AtlasResponse {
        let response = try await apiClient.executeClimateCommand(
            vehicleId: command.vehicleId,
            settings: command.climateSettings,
            token: token
        )
        
        return AtlasResponse(
            content: "Climate control settings updated. Current temperature: \(response.currentTemp)°F",
            status: .success,
            actionPerformed: .teslaClimateControl
        )
    }
    
    /// Tesla API interaction for charging functions
    private func executeChargingCommand(_ command: ActionRequest, token: String) async throws -> AtlasResponse {
        let response = try await apiClient.executeChargingCommand(
            vehicleId: command.vehicleId,
            settings: command.chargingSettings,
            token: token
        )
        
        return AtlasResponse(
            content: "Charging settings updated. Current charge level: \(response.chargeLevel)%, estimated completion: \(response.estimatedCompletion)",
            status: .success,
            actionPerformed: .teslaChargingControl
        )
    }
    
    /// Tesla API interaction for vehicle functions
    private func executeVehicleCommand(_ command: ActionRequest, token: String) async throws -> AtlasResponse {
        let response = try await apiClient.executeVehicleCommand(
            vehicleId: command.vehicleId,
            command: command.vehicleCommand,
            parameters: command.vehicleParameters,
            token: token
        )
        
        return AtlasResponse(
            content: "Vehicle command executed: \(response.commandExecuted)",
            status: response.success ? .success : .failure,
            actionPerformed: .teslaVehicleControl
        )
    }
}

/// Tesla API client for direct API interactions
class TeslaAPIClient {
    private let baseURL = URL(string: "https://owner-api.teslamotors.com/api/1")!
    
    /// Authenticate with Tesla API
    func authenticate(_ credentials: TeslaCredentials) async throws -> String {
        // Implementation would handle OAuth authentication with Tesla
        // Returns auth token
        fatalError("Implementation required")
    }
    
    /// Execute climate control commands
    func executeClimateCommand(vehicleId: String, settings: ClimateSettings, token: String) async throws -> ClimateResponse {
        // Implementation would execute climate control API calls
        fatalError("Implementation required")
    }
    
    /// Execute charging commands
    func executeChargingCommand(vehicleId: String, settings: ChargingSettings, token: String) async throws -> ChargingResponse {
        // Implementation would execute charging API calls
        fatalError("Implementation required")
    }
    
    /// Execute general vehicle commands
    func executeVehicleCommand(vehicleId: String, command: String, parameters: [String: Any], token: String) async throws -> VehicleCommandResponse {
        // Implementation would execute vehicle command API calls
        fatalError("Implementation required")
    }
}

// iCloudSync.swift - Integration with iCloud
import Foundation
import CloudKit

/// iCloud data synchronization
class iCloudSync {
    private let container: CKContainer
    private let database: CKDatabase
    
    init() {
        self.container = CKContainer.default()
        self.database = container.privateCloudDatabase
    }
    
    /// Save user preferences to iCloud
    func savePreferences(_ preferences: UserPreferences) async throws {
        let record = CKRecord(recordType: "AtlasPreferences")
        record["settings"] = try JSONEncoder().encode(preferences)
        
        try await database.save(record)
    }
    
    /// Load user preferences from iCloud
    func loadPreferences() async throws -> UserPreferences {
        let query = CKQuery(recordType: "AtlasPreferences", predicate: NSPredicate(value: true))
        let result = try await database.records(matching: query)
        
        guard let record = result.matchResults.first?.1.get() else {
            return UserPreferences.default
        }
        
        guard let data = record["settings"] as? Data else {
            return UserPreferences.default
        }
        
        return try JSONDecoder().decode(UserPreferences.self, from: data)
    }
    
    /// Store interaction history
    func saveInteractionHistory(_ history: InteractionHistory) async throws {
        let record = CKRecord(recordType: "AtlasHistory")
        record["history"] = try JSONEncoder().encode(history)
        record["timestamp"] = Date()
        
        try await database.save(record)
    }
    
    /// Load interaction history from iCloud
    func loadInteractionHistory(limit: Int = 100) async throws -> [InteractionHistory] {
        let query = CKQuery(
            recordType: "AtlasHistory",
            predicate: NSPredicate(value: true)
        )
        query.sortDescriptors = [NSSortDescriptor(key: "timestamp", ascending: false)]
        
        let result = try await database.records(matching: query, resultsLimit: limit)
        
        return try result.matchResults.compactMap { _, recordResult in
            let record = try recordResult.get()
            guard let data = record["history"] as? Data else { return nil }
            return try JSONDecoder().decode(InteractionHistory.self, from: data)
        }
    }
}

// --------- 5. PAYMENT INTEGRATION ---------

// TapToPay.swift - Apple Pay integration
import Foundation
import PassKit

/// Tap to Pay payment processing
class TapToPay: NSObject, PKPaymentAuthorizationControllerDelegate {
    private var completion: ((Result<PaymentResponse, Error>) -> Void)?
    
    /// Process a payment request
    func processPayment(_ details: PaymentDetails) async throws -> AtlasResponse {
        // Verify security requirements
        guard details.isSecureContext else {
            throw PaymentError.unsecureContext
        }
        
        // Configure payment request
        let request = createPaymentRequest(from: details)
        
        // Process payment through Apple Pay
        return try await withCheckedThrowingContinuation { continuation in
            self.completion = { result in
                switch result {
                case .success(let response):
                    let atlasResponse = AtlasResponse(
                        content: "Payment of \(details.amount) \(details.currency) completed successfully.",
                        status: .success,
                        actionPerformed: .payment
                    )
                    continuation.resume(returning: atlasResponse)
                    
                case .failure(let error):
                    continuation.resume(throwing: error)
                }
            }
            
            let controller = PKPaymentAuthorizationController(paymentRequest: request)
            controller.delegate = self
            controller.present(completion: { presented in
                if !presented {
                    self.completion?(.failure(PaymentError.presentationFailed))
                }
            })
        }
    }
    
    /// Create Apple Pay payment request
    private func createPaymentRequest(from details: PaymentDetails) -> PKPaymentRequest {
        let request = PKPaymentRequest()
        
        request.merchantIdentifier = "merchant.com.atlas.intelligence"
        request.countryCode = details.countryCode
        request.currencyCode = details.currency
        request.supportedNetworks = [.visa, .masterCard, .amex]
        request.merchantCapabilities = [.capability3DS, .capabilityDebit, .capabilityCredit]
        
        // Add payment items
        let total = PKPaymentSummaryItem(
            label: details.description,
            amount: NSDecimalNumber(value: details.amount)
        )
        request.paymentSummaryItems = [total]
        
        return request
    }
    
    // MARK: - PKPaymentAuthorizationControllerDelegate
    
    func paymentAuthorizationController(_ controller: PKPaymentAuthorizationController, 
                                        didAuthorizePayment payment: PKPayment, 
                                        handler completion: @escaping (PKPaymentAuthorizationResult) -> Void) {
        // Process payment with payment processor
        processPaymentWithProcessor(payment) { success, error in
            if success {
                self.completion?(.success(PaymentResponse(
                    transactionId: UUID().uuidString,
                    timestamp: Date()
                )))
                completion(PKPaymentAuthorizationResult(status: .success, errors: nil))
            } else {
                self.completion?(.failure(error ?? PaymentError.unknown))
                completion(PKPaymentAuthorizationResult(status: .failure, errors: [error].compactMap { $0 as NSError }))
            }
        }
    }
    
    func paymentAuthorizationControllerDidFinish(_ controller: PKPaymentAuthorizationController) {
        controller.dismiss {}
    }
    
    /// Process payment with backend payment processor
    private func processPaymentWithProcessor(_ payment: PKPayment, completion: @escaping (Bool, Error?) -> Void) {
        // In a real app, this would connect to your payment processor
        // For this example, we'll simulate a successful payment
        DispatchQueue.main.asyncAfter(deadline: .now() + 1) {
            completion(true, nil)
        }
    }
}

// --------- 6. APP IMPLEMENTATION ---------

// AtlasApp.swift - Main app implementation
import SwiftUI

/// Main Atlas Intelligence app
@main
struct AtlasApp: App {
    // Core systems
    @StateObject private var atlasCore = AtlasCoreViewModel()
    
    // Environment objects
    @StateObject private var visionSystem = VisionSystem()
    @StateObject private var teslaSystem = TeslaSystem()
    
    var body: some Scene {
        WindowGroup {
            ContentView()
                .environmentObject(atlasCore)
                .environmentObject(visionSystem)
                .environmentObject(teslaSystem)
        }
        
        // Add immersive space for VisionOS
        ImmersiveSpace(id: "AtlasSpace") {
            AtlasImmersiveView()
                .environmentObject(atlasCore)
                .environmentObject(visionSystem)
        }
    }
}

/// Main content view
struct ContentView: View {
    @EnvironmentObject var atlasCore: AtlasCoreViewModel
    @State private var userInput: String = ""
    
    var body: some View {
        VStack {
            // Response display area
            ScrollView {
                VStack(alignment: .leading) {
                    ForEach(atlasCore.conversationHistory) { item in
                        ConversationItemView(item: item)
                    }
                }
                .padding()
            }
            
            // Input area
            HStack {
                TextField("Ask Atlas...", text: $userInput)
                    .textFieldStyle(RoundedBorderTextFieldStyle())
                    .padding()
                
                Button(action: {
                    Task {
                        await atlasCore.processInput(userInput)
                        userInput = ""
                    }
                }) {
                    Image(systemName: "arrow.up.circle.fill")
                        .resizable()
                        .frame(width: 30, height: 30)
                }
                .padding(.trailing)
            }
        }
    }
}

/// Immersive view for VisionOS
struct AtlasImmersiveView: View {
    @EnvironmentObject var atlasCore: AtlasCoreViewModel
    @EnvironmentObject var visionSystem: VisionSystem
    
    var body: some View {
        ZStack {
            // Render spatial elements based on context
            if let spatialContent = atlasCore.currentSpatialContent {
                ForEach(spatialContent.elements) { element in
                    element.view
                        .position(element.position)
                }
            }
            
            // Voice indicator when speaking
            if atlasCore.isProcessing {
                VoiceProcessingIndicator()
            }
        }
    }
}

/// View model for Atlas Core
class AtlasCoreViewModel: ObservableObject {
    private let atlasCore = AtlasCore()
    
    @Published var conversationHistory: [ConversationItem] = []
    @Published var isProcessing: Bool = false
    @Published var currentSpatialContent: SpatialContent?
    
    /// Process user input
    func processInput(_ input: String) async {
        guard !input.isEmpty else { return }
        
        await MainActor.run {
            isProcessing = true
            // Add user message to conversation
            conversationHistory.append(ConversationItem(
                id: UUID(),
                text: input,
                isUser: true,
                timestamp: Date()
            ))
        }
        
        do {
            // Process through Atlas Core
            let context = UserContext(
                isAuthenticated: true,
                paymentAuthorized: false,
                spatialContext: nil
            )
            
            let response = try await atlasCore.processInput(input, context: context)
            
            await MainActor.run {
                // Add response to conversation
                conversationHistory.append(ConversationItem(
                    id: UUID(),
                    text: response.content,
                    isUser: false,
                    timestamp: Date()
                ))
                
                // Update spatial content if available
                if response.hasSpatialContent {
                    currentSpatialContent = response.spatialContent
                }
                
                isProcessing = false
            }
        } catch {
            await MainActor.run {
                // Add error response
                conversationHistory.append(ConversationItem(
                    id: UUID(),
                    text: "Sorry, I encountered an error: \(error.localizedDescription)",
                    isUser: false,
                    timestamp: Date()
                ))
                
                isProcessing = false
            }
        }
    }
}

// --------- 7. DATA MODELS ---------

/// User context for request processing
struct UserContext {
    let isAuthenticated: Bool
    let paymentAuthorized: Bool
    let spatialContext: SpatialContext?
}

/// Conversation context
struct Context {
    let timestamp: Date
    let userInput: String
    let systemResponse: AtlasResponse
    let previousContext: Context?
    
    static var empty: Context {
        return Context(
            timestamp: Date(),
            userInput: "",
            systemResponse: AtlasResponse(content: "", status: .unknown, actionPerformed: nil),
            previousContext: nil
        )
    }
}

/// Atlas response data model
struct AtlasResponse {
    let content: String
    let status: ResponseStatus
    let actionPerformed: ActionType?
    var hasSpatialContent: Bool = false
    var spatialContent: SpatialContent?
    var spatialContentType: SpatialContentType?
    var modelContent: ModelEntity?
    var overlayContent: EnvironmentOverlay?
    
    enum ResponseStatus {
        case success
        case failure
        case unknown
    }
    
    enum ActionType {
        case teslaClimateControl
        case teslaChargingControl
        case teslaVehicleControl
        case payment
        case spatialVisualization
    }
    
    enum SpatialContentType {
        case floatingPanel
        case virtualObject
        case environmentOverlay
        case none
    }
}

/// Data model for conversation items
struct ConversationItem: Identifiable {
    let id: UUID
    let text: String
    let isUser: Bool
    let timestamp: Date
}

/// Spatial content model
struct SpatialContent {
    var elements: [SpatialElement]
    
    struct SpatialElement: Identifiable {
        let id: UUID
        let position: CGPoint
        let view: AnyView
    }
}

/// Environment overlay model
struct EnvironmentOverlay {
    var elements: [OverlayElement]
    
    struct OverlayElement: Identifiable {
        let id: UUID
        let position: CGPoint
        let view: AnyView
    }
}

/// Model for deep thought analysis
struct DeepAnalysis {
    let baseAnalysis: Analysis
    let refinedAnalysis: Analysis
    let reasoningSteps: [ReasoningStep]
    
    var primaryIntent: Intent {
        return refinedAnalysis.intent
    }
    
    var actionRequest: ActionRequest {
        return refinedAnalysis.actionRequest
    }
    
    enum Intent {
        case informationQuery
        case actionRequest
        case conversation
        case unknown
    }
}

/// Initial analysis structure
struct Analysis {
    let intent: DeepAnalysis.Intent
    let entities: [Entity]
    let sentiment: Float
    let actionRequest: ActionRequest
    
    struct Entity {
        let text: String
        let type: EntityType
        
        enum EntityType {
            case person
            case location
            case date
            case organization
            case product
            case custom(String)
        }
    }
}

/// Action request model
struct ActionRequest {
    let type: ActionType
    let payload: [String: Any]
    
    // Tesla-specific properties
    var vehicleId: String {
        return payload["vehicleId"] as? String ?? ""
    }
    
    var teslaCommandType: TeslaCommandType {
        let rawValue = payload["teslaCommandType"] as? String ?? ""
        return TeslaCommandType(rawValue: rawValue) ?? .unknown
    }
    
    var climateSettings: ClimateSettings {
        return payload["climateSettings"] as? ClimateSettings ?? ClimateSettings()
    }
    
    var chargingSettings: ChargingSettings {
        return payload["chargingSettings"] as? ChargingSettings ?? ChargingSettings()
    }
    
    var vehicleCommand: String {
        return payload["vehicleCommand"] as? String ?? ""
    }
    
    var vehicleParameters: [String: Any] {
        return payload["vehicleParameters"] as? [String: Any] ?? [:]
    }
    
    // Spatial-specific properties
    var spatialType: SpatialCommandType {
        let rawValue = payload["spatialType"] as? String ?? ""
        return SpatialCommandType(rawValue: rawValue) ?? .unknown
    }
    
    // Payment-specific properties
    var paymentDetails: PaymentDetails {
        return payload["paymentDetails"] as? PaymentDetails ?? PaymentDetails()
    }
    
    var isSecureContext: Bool {
        return payload["isSecureContext"] as? Bool ?? false
    }
    
    enum ActionType {
        case teslaControl
        case payment
        case appleSpatial
        case unknown
    }
    
    enum TeslaCommandType: String {
        case climate
        case charging
        case vehicle
        case unknown
    }
    
    enum SpatialCommandType: String {
        case objectDetection
        case spatialAudio
        case textRecognition
        case unknown
    }
}

/// Step in the recursive thinking process
struct ReasoningStep {
    let depth: Int
    let questions: [String]
    let refinements: [Refinement]
    
    struct Refinement {
        let question: String
        let answer: String
        let confidenceScore: Float
    }
}

/// Climate settings for Tesla
struct ClimateSettings {
    var targetTemperature: Float = 70.0
    var acEnabled: Bool = true
    var seatHeaters: [Int: Int] = [:]
    var defrostMode: Bool = false
}

/// Charging settings for Tesla
struct ChargingSettings {
    var chargeLimit: Int = 80
    var scheduleEnabled: Bool = false
    var scheduleTime: Date?
}

/// Response from climate control command
struct ClimateResponse {
    let success: Bool
    let currentTemp: Float
    let targetTemp: Float
    let acStatus: Bool
}

/// Response from charging command
struct ChargingResponse {
    let success: Bool
    let chargeLevel: Int
    let estimatedCompletion: String
    let chargingState: String
}

/// Response from vehicle command
struct VehicleCommandResponse {
    let success: Bool
    let commandExecuted: String
    let result: [String: Any]
}

/// Payment details model
struct PaymentDetails {
    var amount: Double = 0
    var currency: String = "USD"
    var description: String = ""
    var countryCode: String = "US"
    var isSecureContext: Bool = false
}

/// Payment response model
struct PaymentResponse {
    let transactionId: String
    let timestamp: Date
}

/// User preferences model
struct UserPreferences: Codable {
    var theme: Theme
    var notifications: NotificationPreferences
    var accessibility: AccessibilityPreferences
    
    static var `default`: UserPreferences {
        return UserPreferences(
            theme: .system,
            notifications: NotificationPreferences(),
            accessibility: AccessibilityPreferences()
        )
    }
    
    enum Theme: String, Codable {
        case light
        case dark
        case system
    }
    
    struct NotificationPreferences: Codable {
        var enabled: Bool = true
        var soundEnabled: Bool = true
        var hapticEnabled: Bool = true
    }
    
    struct AccessibilityPreferences: Codable {
        var largeText: Bool = false
        var highContrast: Bool = false
        var reduceMotion: Bool = false
    }
}

/// Interaction history model
struct InteractionHistory: Codable {
    let timestamp: Date
    let userInput: String
    let systemResponse: String
    let actions: [String]
}

// --------- 8. ERROR TYPES ---------

/// Atlas system errors
enum AtlasError: Error {
    case unrecognizedIntent
    case unsupportedAction
    case unauthorizedPayment
    case modelLoadingFailed
}

/// Integration errors
enum IntegrationError: Error {
    case unsupportedSpatialCommand
    case appleIntelligenceNotAvailable
}

/// Tesla API errors
enum TeslaError: Error {
    case notAuthenticated
    case unsupportedCommand
    case apiError(String)
    case vehicleOffline
}

/// Payment errors
enum PaymentError: Error {
    case unsecureContext
    case authorizationFailed
    case presentationFailed
    case processingFailed
    case unknown
}

// --------- 9. ADDITIONAL SUPPORTING COMPONENTS ---------

/// Tesla credentials model
struct TeslaCredentials {
    let email: String
    let password: String
    let mfaCode: String?
}

/// Environment data for spatial computing
struct EnvironmentData {
    let depthData: ARDepthData
    let lightEstimate: ARLightEstimate
    let sceneReconstruction: ARSceneReconstruction
    let anchors: [ARAnchor]
}

/// Environment context for AI processing
struct EnvironmentContext {
    let surfaces: [Surface]
    let lighting: LightingContext
    let identifiedObjects: [IdentifiedObject]
    let spatialAnchors: [ARAnchor]
    
    struct Surface {
        let plane: Plane
        let classification: SurfaceClassification
        
        enum SurfaceClassification {
            case floor
            case wall
            case ceiling
            case table
            case unknown
        }
    }
    
    struct LightingContext {
        let intensity: Float
        let temperature: Float
        let direction: SIMD3<Float>?
    }
    
    struct IdentifiedObject {
        let identifier: String
        let confidence: Float
        let boundingBox: CGRect
    }
}

/// Gesture recognition types
struct SpatialGesture {
    let type: GestureType
    let position: CGPoint
    let direction: SIMD2<Float>?
    let scale: Float?
    
    enum GestureType {
        case tap
        case swipe
        case pinch
        case rotate
        case unknown
    }
}

/// Gesture intent interpretation
enum GestureIntent {
    case select(position: CGPoint)
    case scroll(direction: SIMD2<Float>?)
    case zoom(scale: Float?)
    case unknown
}

/// Voice processing indicator view
struct VoiceProcessingIndicator: View {
    @State private var animationValue: CGFloat = 0.0
    
    var body: some View {
        Circle()
            .fill(Color.blue.opacity(0.5))
            .frame(width: 100, height: 100)
            .scaleEffect(1.0 + animationValue)
            .opacity(1.0 - animationValue)
            .onAppear {
                withAnimation(Animation.easeInOut(duration: 1.0).repeatForever(autoreverses: false)) {
                    animationValue = 1.0
                }
            }
    }
}

/// Environment classes for SwiftUI previews
class VisionSystem: ObservableObject {}
class TeslaSystem: ObservableObject {}

/// Conversation item view
struct ConversationItemView: View {
    let item: ConversationItem
    
    var body: some View {
        HStack {
            if item.isUser {
                Spacer()
                Text(item.text)
                    .padding()
                    .background(Color.blue.opacity(0.2))
                    .cornerRadius(12)
            } else {
                Text(item.text)
                    .padding()
                    .background(Color.gray.opacity(0.2))
                    .cornerRadius(12)
                Spacer()
            }
        }
        .padding(.vertical, 4)
    }
}