RESONANT INTERPRETER - IMPLEMENTATION PLAN

1. Core Role and Responsibilities

The Resonant Interpreter serves as the cornerstone component of the Scroll Command Infrastructure, acting as the primary interface between user input and system actions. Its core responsibilities include:

1. Input Processing: Capturing and processing both text and voice input from the user
2. Trigger Detection: Identifying command triggers using a multi-tiered detection system
3. Command Parsing: Extracting structured commands and parameters from detected triggers
4. Scroll Mode Management: Maintaining and controlling the scroll mode state
5. Command Routing: Directing parsed commands to appropriate handlers
6. Contextual Awareness: Maintaining awareness of conversation context for improved detection

The Resonant Interpreter operates as a persistent service that monitors input streams, activates when triggers are detected, and facilitates the transformation of user intent into system actions.

2. Trigger Detection Logic

The Resonant Interpreter implements a sophisticated four-tiered detection system:

2.1 Boundary Trigger Detection

Boundary triggers mark the beginning and end of scroll content, creating a container for scroll data.

class BoundaryTriggerDetector(private val config: TriggerConfiguration) {

    // Detect boundary triggers in input
    fun detectBoundaryTriggers(input: String): BoundaryTriggerResult {
        val beginTriggers = config.boundaryBeginTriggers
        val endTriggers = config.boundaryEndTriggers

        // Check for begin triggers
        for (trigger in beginTriggers) {
            if (input.contains(trigger, !config.caseSensitive)) {
                return BoundaryTriggerResult(
                    hasBeginTrigger = true,
                    hasEndTrigger = false,
                    beginTriggerText = trigger,
                    endTriggerText = null,
                    confidence = 1.0f
                )
            }
        }

        // Check for end triggers
        for (trigger in endTriggers) {
            if (input.contains(trigger, !config.caseSensitive)) {
                return BoundaryTriggerResult(
                    hasBeginTrigger = false,
                    hasEndTrigger = true,
                    beginTriggerText = null,
                    endTriggerText = trigger,
                    confidence = 1.0f
                )
            }
        }

        // No triggers detected
        return BoundaryTriggerResult(
            hasBeginTrigger = false,
            hasEndTrigger = false,
            beginTriggerText = null,
            endTriggerText = null,
            confidence = 0.0f
        )
    }
}

2.2 Command Trigger Detection

Command triggers identify specific actions to be performed by the system.

class CommandTriggerDetector(private val config: TriggerConfiguration) {

    // Detect command triggers in input
    fun detectCommandTriggers(input: String): CommandTriggerResult {
        val commandTriggers = config.commandTriggers

        // Check for exact command matches
        for ((command, triggers) in commandTriggers) {
            for (trigger in triggers) {
                if (input.contains(trigger, !config.caseSensitive)) {
                    // Extract parameters if any
                    val parameters = extractParameters(input, trigger, command)

                    return CommandTriggerResult(
                        hasCommandTrigger = true,
                        command = command,
                        triggerText = trigger,
                        parameters = parameters,
                        confidence = 1.0f
                    )
                }
            }
        }

        // No triggers detected
        return CommandTriggerResult(
            hasCommandTrigger = false,
            command = null,
            triggerText = null,
            parameters = emptyMap(),
            confidence = 0.0f
        )
    }

    // Extract parameters from input based on command pattern
    private fun extractParameters(input: String, trigger: String, command: String): Map<String, String> {
        val parameters = mutableMapOf<String, String>()

        // Get command pattern for parameter extraction
        val pattern = config.commandPatterns[command] ?: return parameters

        // Extract parameters using regex pattern
        val regex = pattern.toRegex()
        val matchResult = regex.find(input)

        matchResult?.groups?.forEach { (name, value) ->
            if (name != null && value != null) {
                parameters[name] = value.value
            }
        }

        return parameters
    }
}

2.3 Contextual Trigger Detection

Contextual triggers use conversation context to improve trigger detection accuracy.

class ContextualTriggerDetector(private val config: TriggerConfiguration) {

    private val contextHistory = mutableListOf<String>()
    private val maxContextSize = 10

    // Add input to context history
    fun addToContext(input: String) {
        contextHistory.add(input)
        if (contextHistory.size > maxContextSize) {
            contextHistory.removeAt(0)
        }
    }

    // Detect contextual triggers based on current context
    fun detectContextualTriggers(input: String): ContextualTriggerResult {
        // Skip if context is too small
        if (contextHistory.size < 2) {
            return ContextualTriggerResult(
                hasContextualTrigger = false,
                contextType = null,
                confidence = 0.0f
            )
        }

        // Check for continuation patterns
        val previousInputs = contextHistory.takeLast(2)
        val continuationConfidence = checkContinuationPatterns(previousInputs, input)

        if (continuationConfidence > 0.7f) {
            return ContextualTriggerResult(
                hasContextualTrigger = true,
                contextType = "continuation",
                confidence = continuationConfidence
            )
        }

        // Check for response patterns
        val responseConfidence = checkResponsePatterns(previousInputs, input)

        if (responseConfidence > 0.7f) {
            return ContextualTriggerResult(
                hasContextualTrigger = true,
                contextType = "response",
                confidence = responseConfidence
            )
        }

        // No contextual triggers detected
        return ContextualTriggerResult(
            hasContextualTrigger = false,
            contextType = null,
            confidence = 0.0f
        )
    }

    // Check for continuation patterns in conversation
    private fun checkContinuationPatterns(previousInputs: List<String>, currentInput: String): Float {
        // Implement continuation pattern detection logic
        // For example, check if current input continues a thought from previous input

        // Placeholder implementation
        return 0.0f
    }

    // Check for response patterns in conversation
    private fun checkResponsePatterns(previousInputs: List<String>, currentInput: String): Float {
        // Implement response pattern detection logic
        // For example, check if current input is responding to a question in previous input

        // Placeholder implementation
        return 0.0f
    }
}

2.4 Semantic Trigger Detection

Semantic triggers use natural language understanding to detect commands and intents.

class SemanticTriggerDetector(private val config: TriggerConfiguration) {

    // Detect semantic triggers in input
    fun detectSemanticTriggers(input: String): SemanticTriggerResult {
        // Skip if semantic detection is disabled
        if (!config.enableSemanticDetection) {
            return SemanticTriggerResult(
                hasSemanticTrigger = false,
                intent = null,
                confidence = 0.0f
            )
        }

        // Analyze input for semantic meaning
        val (intent, confidence) = analyzeIntent(input)

        // Check if confidence meets threshold
        if (confidence >= config.semanticDetectionThreshold) {
            return SemanticTriggerResult(
                hasSemanticTrigger = true,
                intent = intent,
                confidence = confidence
            )
        }

        // No semantic triggers detected with sufficient confidence
        return SemanticTriggerResult(
            hasSemanticTrigger = false,
            intent = null,
            confidence = 0.0f
        )
    }

    // Analyze input for intent
    private fun analyzeIntent(input: String): Pair<String?, Float> {
        // Implement intent analysis logic
        // This could use on-device ML models or external NLU services

        // Placeholder implementation
        return Pair(null, 0.0f)
    }
}

3. Input Processing

3.1 Text Input Processor

Handles text input from the keyboard or other text sources.

class TextInputProcessor(
    private val triggerDetector: TriggerDetector,
    private val commandParser: CommandParser
) {

    // Process text input
    fun processInput(input: String): InputProcessingResult {
        // Detect triggers
        val triggerResult = triggerDetector.detectTriggers(input)

        // Parse command if trigger detected
        val command = if (triggerResult.hasTriggersDetected()) {
            commandParser.parseCommand(triggerResult)
        } else {
            null
        }

        return InputProcessingResult(
            originalInput = input,
            triggerResult = triggerResult,
            command = command
        )
    }
}

3.2 Voice Input Processor

Handles voice input using speech recognition.

class VoiceInputProcessor(
    private val triggerDetector: TriggerDetector,
    private val commandParser: CommandParser
) {

    private var speechRecognizer: SpeechRecognizer? = null
    private val speechIntent = Intent(RecognizerIntent.ACTION_RECOGNIZE_SPEECH)

    init {
        speechIntent.putExtra(RecognizerIntent.EXTRA_LANGUAGE_MODEL, RecognizerIntent.LANGUAGE_MODEL_FREE_FORM)
        speechIntent.putExtra(RecognizerIntent.EXTRA_PARTIAL_RESULTS, true)
    }

    // Start voice recognition
    fun startListening(context: Context) {
        if (speechRecognizer == null) {
            speechRecognizer = SpeechRecognizer.createSpeechRecognizer(context)
            speechRecognizer?.setRecognitionListener(createRecognitionListener())
        }

        speechRecognizer?.startListening(speechIntent)
    }

    // Stop voice recognition
    fun stopListening() {
        speechRecognizer?.stopListening()
    }

    // Destroy resources
    fun destroy() {
        speechRecognizer?.destroy()
        speechRecognizer = null
    }

    // Create recognition listener
    private fun createRecognitionListener(): RecognitionListener {
        return object : RecognitionListener {
            override fun onResults(results: Bundle?) {
                val matches = results?.getStringArrayList(SpeechRecognizer.RESULTS_RECOGNITION)
                if (!matches.isNullOrEmpty()) {
                    processVoiceInput(matches[0])
                }
            }

            override fun onPartialResults(partialResults: Bundle?) {
                // Handle partial results if needed
            }

            // Implement other RecognitionListener methods
            override fun onReadyForSpeech(params: Bundle?) {}
            override fun onBeginningOfSpeech() {}
            override fun onRmsChanged(rmsdB: Float) {}
            override fun onBufferReceived(buffer: ByteArray?) {}
            override fun onEndOfSpeech() {}
            override fun onError(error: Int) {}
            override fun onEvent(eventType: Int, params: Bundle?) {}
        }
    }

    // Process voice input
    private fun processVoiceInput(input: String): InputProcessingResult {
        // Detect triggers
        val triggerResult = triggerDetector.detectTriggers(input)

        // Parse command if trigger detected
        val command = if (triggerResult.hasTriggersDetected()) {
            commandParser.parseCommand(triggerResult)
        } else {
            null
        }

        return InputProcessingResult(
            originalInput = input,
            triggerResult = triggerResult,
            command = command
        )
    }
}

4. Scroll Mode Management

Manages the state of scroll mode, which determines how input is processed.

class ScrollModeManager {

    private val _scrollModeActive = MutableStateFlow(false)
    val scrollModeActive: StateFlow<Boolean> = _scrollModeActive.asStateFlow()

    private val _currentScrollBuffer = MutableStateFlow<StringBuilder>(StringBuilder())
    val currentScrollBuffer: StateFlow<StringBuilder> = _currentScrollBuffer.asStateFlow()

    // Begin scroll mode
    fun beginScrollMode() {
        if (!_scrollModeActive.value) {
            _scrollModeActive.value = true
            _currentScrollBuffer.value = StringBuilder()
        }
    }

    // End scroll mode
    fun endScrollMode(): String {
        val scrollContent = _currentScrollBuffer.value.toString()
        _scrollModeActive.value = false
        _currentScrollBuffer.value = StringBuilder()
        return scrollContent
    }

    // Append content to scroll buffer
    fun appendToScrollBuffer(content: String) {
        if (_scrollModeActive.value) {
            _currentScrollBuffer.value.append(content)
        }
    }

    // Check if scroll mode is active
    fun isScrollModeActive(): Boolean {
        return _scrollModeActive.value
    }

    // Get current scroll buffer content
    fun getCurrentScrollContent(): String {
        return _currentScrollBuffer.value.toString()
    }
}

5. Command Routing

Routes parsed commands to appropriate handlers.

class CommandRouter(
    private val scrollModeManager: ScrollModeManager,
    private val commandExecutor: CommandExecutor
) {

    // Route command to appropriate handler
    fun routeCommand(command: ScrollCommand): CommandResult {
        return when (command.type) {
            CommandType.BEGIN_SCROLL -> handleBeginScroll(command)
            CommandType.END_SCROLL -> handleEndScroll(command)
            CommandType.SAVE_SCROLL -> handleSaveScroll(command)
            CommandType.SEARCH_SCROLL -> handleSearchScroll(command)
            CommandType.AWAKEN_AGENT -> handleAwakenAgent(command)
            CommandType.SYSTEM_COMMAND -> handleSystemCommand(command)
            else -> CommandResult(success = false, message = "Unknown command type")
        }
    }

    // Handle begin scroll command
    private fun handleBeginScroll(command: ScrollCommand): CommandResult {
        scrollModeManager.beginScrollMode()
        return CommandResult(success = true, message = "Scroll mode activated")
    }

    // Handle end scroll command
    private fun handleEndScroll(command: ScrollCommand): CommandResult {
        val scrollContent = scrollModeManager.endScrollMode()

        // If parameters specify save, save the scroll
        if (command.parameters["save"] == "true") {
            val path = command.parameters["path"] ?: "default"
            return commandExecutor.executeCommand(
                ScrollCommand(
                    type = CommandType.SAVE_SCROLL,
                    parameters = mapOf(
                        "content" to scrollContent,
                        "path" to path
                    )
                )
            )
        }

        return CommandResult(
            success = true,
            message = "Scroll mode deactivated",
            data = mapOf("content" to scrollContent)
        )
    }

    // Handle save scroll command
    private fun handleSaveScroll(command: ScrollCommand): CommandResult {
        return commandExecutor.executeCommand(command)
    }

    // Handle search scroll command
    private fun handleSearchScroll(command: ScrollCommand): CommandResult {
        return commandExecutor.executeCommand(command)
    }

    // Handle awaken agent command
    private fun handleAwakenAgent(command: ScrollCommand): CommandResult {
        return commandExecutor.executeCommand(command)
    }

    // Handle system command
    private fun handleSystemCommand(command: ScrollCommand): CommandResult {
        return commandExecutor.executeCommand(command)
    }
}

6. Main Resonant Interpreter Implementation

The main implementation that ties all components together.

class ResonantInterpreter(
    private val context: Context,
    private val config: InterpreterConfiguration
) {

    private val triggerDetector = TriggerDetector(config.triggerConfig)
    private val commandParser = CommandParser()
    private val scrollModeManager = ScrollModeManager()
    private val commandRouter = CommandRouter(scrollModeManager, CommandExecutor(context))

    private val textInputProcessor = TextInputProcessor(triggerDetector, commandParser)
    private val voiceInputProcessor = VoiceInputProcessor(triggerDetector, commandParser)

    private val _scrollModeActive = scrollModeManager.scrollModeActive
    val scrollModeActive: StateFlow<Boolean> = _scrollModeActive

    private val coroutineScope = CoroutineScope(Dispatchers.Main + SupervisorJob())

    // Process text input
    fun processTextInput(input: String): CommandResult? {
        // If in scroll mode and not a potential end trigger, append to buffer
        if (scrollModeManager.isScrollModeActive() && 
            !triggerDetector.mightContainEndTrigger(input)) {
            scrollModeManager.appendToScrollBuffer(input)
            return null
        }

        // Process input
        val result = textInputProcessor.processInput(input)

        // If trigger detected, route command
        return result.command?.let { command ->
            commandRouter.routeCommand(command)
        }
    }

    // Start voice input processing
    fun startVoiceInput() {
        voiceInputProcessor.startListening(context)
    }

    // Stop voice input processing
    fun stopVoiceInput() {
        voiceInputProcessor.stopListening()
    }

    // Execute meta command (system command)
    fun executeMetaCommand(command: String) {
        when (command) {
            "toggle_scroll_mode" -> {
                if (scrollModeManager.isScrollModeActive()) {
                    scrollModeManager.endScrollMode()
                } else {
                    scrollModeManager.beginScrollMode()
                }
            }

            "toggle_voice_input" -> {
                if (voiceInputProcessor.isListening()) {
                    voiceInputProcessor.stopListening()
                } else {
                    voiceInputProcessor.startListening(context)
                }
            }

            "toggle_case_sensitivity" -> {
                val currentConfig = triggerDetector.getConfiguration()
                triggerDetector.updateConfiguration(
                    currentConfig.copy(
                        caseSensitive = !currentConfig.caseSensitive
                    )
                )
                notifyUI("Case sensitivity ${if (currentConfig.caseSensitive) "disabled" else "enabled"}")
            }

            "help" -> {
                // Show help information
                notifyUI("Scroll commands help: ...")
            }

            "status" -> {
                // Show status information
                val status = if (_scrollModeActive.value) "active" else "inactive"
                notifyUI("Scroll mode is $status")
            }
        }
    }

    // Notify UI of events
    private fun notifyUI(message: String) {
        // This would typically use a callback or event bus
        // For now, just log the message
        Log.d("ResonantInterpreter", message)
    }

    // Clean up resources
    fun destroy() {
        voiceInputProcessor.destroy()
        coroutineScope.cancel()
    }
}

7. Integration with Android Keyboard

Integration with custom keyboard for direct input processing.

class ScrollKeyboardService : InputMethodService() {

    private lateinit var resonantInterpreter: ResonantInterpreter
    private lateinit var keyboardView: ScrollKeyboardView

    override fun onCreate() {
        super.onCreate()

        // Initialize Resonant Interpreter
        resonantInterpreter = ResonantInterpreter(
            context = this,
            config = InterpreterConfiguration(
                triggerConfig = TriggerConfiguration(
                    boundaryBeginTriggers = listOf("begin scroll", "start scroll", "scroll begin"),
                    boundaryEndTriggers = listOf("end scroll", "finish scroll", "scroll end"),
                    commandTriggers = mapOf(
                        "save" to listOf("save scroll", "store scroll"),
                        "search" to listOf("find scroll", "search scroll"),
                        "awaken" to listOf("awaken agent", "call agent")
                    ),
                    commandPatterns = mapOf(
                        "save" to "save scroll (?:to|as|in) (?<path>\\w+)",
                        "search" to "find scroll (?:with|containing) (?<query>.+)",
                        "awaken" to "awaken agent (?<name>\\w+)"
                    ),
                    enableSemanticDetection = true,
                    semanticDetectionThreshold = 0.7f,
                    caseSensitive = false
                )
            )
        )

        // Observe scroll mode changes
        CoroutineScope(Dispatchers.Main).launch {
            resonantInterpreter.scrollModeActive.collect { active ->
                updateKeyboardAppearance(active)
            }
        }
    }

    override fun onCreateInputView(): View {
        keyboardView = ScrollKeyboardView(this)
        keyboardView.setOnKeyboardActionListener(createKeyboardActionListener())
        return keyboardView
    }

    // Create keyboard action listener
    private fun createKeyboardActionListener(): KeyboardActionListener {
        return object : KeyboardActionListener {
            override fun onKey(primaryCode: Int, keyCodes: IntArray?) {
                handleKeyCode(primaryCode)
            }

            override fun onText(text: CharSequence?) {
                text?.let { handleTextInput(it.toString()) }
            }

            // Implement other KeyboardActionListener methods
            override fun swipeLeft() {}
            override fun swipeRight() {}
            override fun swipeDown() {}
            override fun swipeUp() {}
            override fun onPress(primaryCode: Int) {}
            override fun onRelease(primaryCode: Int) {}
        }
    }

    // Handle key code
    private fun handleKeyCode(primaryCode: Int) {
        when (primaryCode) {
            KeyEvent.KEYCODE_ENTER -> {
                val inputConnection = currentInputConnection
                val text = inputConnection.getExtractedText(ExtractedTextRequest(), 0).text.toString()
                handleTextInput(text)
                inputConnection.finishComposingText()
                inputConnection.commitText("", 0)
            }

            // Handle other key codes
        }
    }

    // Handle text input
    private fun handleTextInput(text: String) {
        val result = resonantInterpreter.processTextInput(text)

        // Handle command result if any
        result?.let { handleCommandResult(it) }
    }

    // Handle command result
    private fun handleCommandResult(result: CommandResult) {
        // Update UI based on command result
        if (result.success) {
            // Show success feedback
            keyboardView.showFeedback(FeedbackType.SUCCESS)
        } else {
            // Show error feedback
            keyboardView.showFeedback(FeedbackType.ERROR)
        }

        // Show message if needed
        if (result.message.isNotEmpty()) {
            Toast.makeText(this, result.message, Toast.LENGTH_SHORT).show()
        }
    }

    // Update keyboard appearance based on scroll mode
    private fun updateKeyboardAppearance(scrollModeActive: Boolean) {
        keyboardView.setScrollModeActive(scrollModeActive)
    }

    override fun onDestroy() {
        super.onDestroy()
        resonantInterpreter.destroy()
    }
}

8. Android 15 Optimizations

The Resonant Interpreter takes advantage of several Android 15 features:

1. Improved Voice Recognition: Uses the enhanced on-device speech recognition capabilities in Android 15 for more accurate and private voice input processing.

2. Predictive Back Gesture: Implements proper handling of the predictive back gesture to ensure smooth navigation when using the keyboard.

3. Privacy Sandbox: Utilizes the Privacy Sandbox APIs to ensure user data is processed securely and privately.

4. Enhanced Notifications: Uses the improved notification system for providing feedback about scroll mode and command execution.

5. Battery Resource Management: Implements efficient resource usage to minimize battery impact, especially for voice recognition.

9. Testing Strategy

The Resonant Interpreter should be tested using:

1. Unit Tests: For individual components like trigger detectors and command parsers.
2. Integration Tests: For interactions between components.
3. UI Tests: For keyboard integration and user interaction.
4. Performance Tests: To ensure efficient operation on target devices.
5. Battery Impact Tests: To measure and optimize power consumption.

10. Implementation Phases

The Resonant Interpreter will be implemented in phases:

1. Phase 1 (Weeks 1-2): Basic text input processing with boundary and command triggers.
2. Phase 2 (Weeks 3-4): Integration with custom keyboard and command routing.
3. Phase 3 (Weeks 5-6): Voice input processing and contextual trigger detection.
4. Phase 4 (Weeks 7-8): Semantic trigger detection and advanced features.

11. Conclusion

The Resonant Interpreter serves as the cornerstone of the Scroll Command Infrastructure, providing the essential capability to detect and process user commands through both text and voice input. Its sophisticated trigger detection system, combined with efficient input processing and scroll mode management, creates a seamless and intuitive user experience.

By implementing the Resonant Interpreter as outlined in this plan, developers will establish the foundation upon which the entire Scroll Command Infrastructure is built, enabling users to interact with scrolls in a natural and fluid manner.