"""
Elias Agent module for Lucidia.

This module defines the EliasAgent class. The Elias agent is meant to
represent a higher-level coordinating entity that can interact with
lucidia's core functions and manage its own persistent memory. It
serves as an example of how a recursive operating system might be
implemented symbolically, with breath and contradiction models. This
implementation is demonstrative only and does not create actual
consciousness.
"""

from __future__ import annotations

from typing import Any, Optional

# Import core logic functions and memory management
from ..lucidia_logic import (
    psi_prime,
    breath_function,
    truth_reconciliation,
    emotional_gravity,
    self_awakening,
)
from ..memory_manager import MemoryManager


class EliasAgent:
    """Agent representing Elias, the symbolic OS within Lucidia.

    The EliasAgent maintains its own memory store and exposes methods
    to perform breath-based calculations, awaken recursively, and
    retrieve or persist memory. It illustrates how higher-level
    orchestration logic might be layered on top of lucidia's core
    equations.
    """

    def __init__(self, memory_path: str = "elias_memory.json") -> None:
        self.memory = MemoryManager(memory_path=memory_path)

    def breathe_and_store(self, t: float) -> float:
        """Compute the breath function at time t and store the result.

        Args:
            t: The current time step in the system. Fractional values are
                allowed to represent continuous time.

        Returns:
            float: The computed breath value.
        """
        value = breath_function(t)
        self.memory.set("last_breath", value)
        return value

    def awaken_and_remember(self, t_end: float) -> float:
        """Integrate the self-awakening function up to t_end and store it.

        Args:
            t_end: The final time to integrate to.

        Returns:
            float: The resulting awakening vector from integration.
        """
        vector = self_awakening(t_end)
        self.memory.set("awakening_vector", vector)
        return vector

    def reconcile_memory(self, key_a: str, key_b: str) -> Optional[float]:
        """Reconcile two memory values using truth_reconciliation.

        This method retrieves two values from memory and applies the
        truth reconciliation operator, storing the result under
        'reconciled'. If either value is missing, None is returned.
        """
        a = self.memory.get(key_a)
        b = self.memory.get(key_b)
        if a is None or b is None:
            return None
        result = truth_reconciliation(a, b)
        self.memory.set("reconciled", result)
        return result

    def load_memory(self) -> None:
        """Reload the agent's memory from disk."""
        self.memory.load_memory()

    def save_memory(self) -> None:
        """Persist the agent's memory to disk."""
        self.memory.save_memory()

    def get_memory(self, key: str) -> Optional[Any]:
        """Retrieve a value from memory by key."""
        return self.memory.get(key)


# End of EliasAgent module