src/core/processing_pipeline.py

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)