lucidia sync: providers registry, db, main updates

human_machine/cognition_integration.py

@@ -1,73 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass
-from typing import Any, Callable, Dict, List
-
-
-@dataclass
-class CognitiveModel:
-    """Represents a cognitive model (human or machine).
-
-    Attributes
-    ----------
-    name : str
-        Unique identifier for the model.
-    process : Callable[[Any], Any]
-        A function that transforms input data into an output.
-    description : str
-        Human-readable explanation of what the model does.
-    """
-    name: str
-    process: Callable[[Any], Any]
-    description: str = ""
-
-
-class CognitionIntegrator:
-    """
-    Integrates multiple cognitive models by aggregating their outputs.
-
-    The integrator stores a list of cognitive models and can invoke
-    each model's `process` function to produce a combined result.
-    """
-
-    def __init__(self) -> None:
-        self.models: List[CognitiveModel] = []
-
-    def register(self, model: CognitiveModel) -> None:
-        """Register a new cognitive model for integration."""
-        self.models.append(model)
-
-    def integrate(self, input_data: Any) -> Dict[str, Any]:
-        """
-        Run all registered models on the input data.
-
-        Parameters
-        ----------
-        input_data : Any
-            The input value to provide to each model.
-
-        Returns
-        -------
-        Dict[str, Any]
-            A mapping of model names to their respective outputs.
-        """
-        outputs: Dict[str, Any] = {}
-        for model in self.models:
-            outputs[model.name] = model.process(input_data)
-        return outputs
-
-
-if __name__ == "__main__":
-    # Demonstrate integrating two simple cognitive models
-    def to_upper(text: str) -> str:
-        return text.upper()
-
-    def count_chars(text: str) -> int:
-        return len(text)
-
-    integrator = CognitionIntegrator()
-    integrator.register(CognitiveModel("upper_case", to_upper, "Convert text to uppercase"))
-    integrator.register(CognitiveModel("char_count", count_chars, "Count characters in text"))
-
-    result = integrator.integrate("Lucidia")
-    print(result)