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from dataclasses import dataclass
from typing import Any, Dict, List
# Define the missing classes
class MultiModalEncoder:
def encode(self, input_data: Any) -> Dict[str, Any]:
# Implementation would go here
return {}
class ContextIntegrator:
def integrate(self, perception: Dict[str, Any]) -> Dict[str, Any]:
# Implementation would go here
return {}
class ConsciousnessFilter:
def filter(self, context: Dict[str, Any]) -> Any:
# Implementation would go here
return {}
class ReflectiveAnalyzer:
def analyze(self, filtered_state: Any) -> 'ProcessingState':
# Implementation would go here
return ProcessingState({}, {}, 0.0, {})
@dataclass
class ProcessingState:
perception_data: Dict[str, Any]
context: Dict[str, Any]
consciousness_level: float
attention_focus: Dict[str, float]
class ProcessingPipeline:
def __init__(self):
self.perception_encoder = MultiModalEncoder()
self.context_integrator = ContextIntegrator()
self.consciousness_filter = ConsciousnessFilter()
self.reflective_analyzer = ReflectiveAnalyzer()
def process(self, input_data: Any) -> ProcessingState:
perception = self.perception_encoder.encode(input_data)
context = self.context_integrator.integrate(perception)
filtered_state = self.consciousness_filter.filter(context)
return self.reflective_analyzer.analyze(filtered_state)
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