import time
from typing import Dict, Any, Optional
from dataclasses import dataclass, asdict

class VRAMManager:
    """Utility to manage GPU memory during model switching."""
    @staticmethod
    def purge():
        import torch
        import gc
        if torch.cuda.is_available():
            torch.cuda.empty_cache()
        gc.collect()

@dataclass
class NerveOutput:
    """Standardized output from a Phase 2 Sensor Model (Nerve)."""
    sensor_type: str
    timestamp: float
    caption: str
    metadata: Dict[str, Any]
    raw_data: Optional[Any] = None # Pointer to raw pixels or audio tensor

class SensorNerve:
    """Base class for all Phase 2 Nerve models."""
    def __init__(self, sensor_type: str):
        self.sensor_type = sensor_type

    def process(self, raw_data: Any) -> NerveOutput:
        raise NotImplementedError

class VisionNerve(SensorNerve):
    """Camera Nerve: Converts video/images to basic visual perception."""
    def __init__(self):
        super().__init__("camera")

    def process(self, caption: str, raw_data: Any = None, objects: list = None) -> NerveOutput:
        return NerveOutput(
            sensor_type=self.sensor_type,
            timestamp=time.time(),
            caption=caption,
            raw_data=raw_data,
            metadata={
                "base_objects": objects or [],
                "scene_context": "general"
            }
        )

class AudioNerve(SensorNerve):
    """Microphone Nerve: Converts audio to basic acoustic perception."""
    def __init__(self):
        super().__init__("microphone")

    def process(self, caption: str, raw_data: Any = None) -> NerveOutput:
        return NerveOutput(
            sensor_type=self.sensor_type,
            timestamp=time.time(),
            caption=caption,
            raw_data=raw_data,
            metadata={
                "acoustic_summary": caption,
                "domain": "ambient"
            }
        )

# Future placeholders for Radar/WiFi/Lidar
class RadarNerve(SensorNerve):
    def __init__(self): super().__init__("radar")
    def process(self, raw_signal: Any) -> NerveOutput:
        return NerveOutput(self.sensor_type, time.time(), "Radar scan active", {"anomalies": []})

class WiFiNerve(SensorNerve):
    def __init__(self): super().__init__("wifi")
    def process(self, raw_signal: Any) -> NerveOutput:
        return NerveOutput(self.sensor_type, time.time(), "WiFi signal stable", {"snr": 0})