"""
Analyze interactions and update self-state accordingly.
"""

import logging
from typing import Dict, Any
from .state import update_self_state

logger = logging.getLogger(__name__)


async def analyze_and_update_state(
    monologue: Dict[str, Any],
    user_prompt: str,
    response: str,
    context: Dict[str, Any]
) -> None:
    """
    Analyze interaction and update self-state.

    This runs after response generation to update Lyra's internal state
    based on the interaction.

    Args:
        monologue: Inner monologue output
        user_prompt: User's message
        response: Lyra's response
        context: Full context state
    """

    # Simple heuristics for state updates
    # TODO: Replace with LLM-based sentiment analysis in Phase 2

    mood_delta = 0.0
    energy_delta = 0.0
    confidence_delta = 0.0
    curiosity_delta = 0.0
    new_focus = None

    # Analyze intent from monologue
    intent = monologue.get("intent", "").lower() if monologue else ""

    if "technical" in intent or "complex" in intent:
        energy_delta = -0.05  # Deep thinking is tiring
        confidence_delta = 0.05 if len(response) > 200 else -0.05
        new_focus = "technical_problem"

    elif "creative" in intent or "brainstorm" in intent:
        mood_delta = 0.1  # Creative work is engaging
        curiosity_delta = 0.1
        new_focus = "creative_exploration"

    elif "clarification" in intent or "confused" in intent:
        confidence_delta = -0.05
        new_focus = "understanding_user"

    elif "simple" in intent or "casual" in intent:
        energy_delta = 0.05  # Light conversation is refreshing
        new_focus = "conversation"

    # Check for learning opportunities (questions in user prompt)
    if "?" in user_prompt and any(word in user_prompt.lower() for word in ["how", "why", "what"]):
        curiosity_delta += 0.05

    # Update state
    update_self_state(
        mood_delta=mood_delta,
        energy_delta=energy_delta,
        new_focus=new_focus,
        confidence_delta=confidence_delta,
        curiosity_delta=curiosity_delta
    )

    logger.info(f"Self-state updated based on interaction: focus={new_focus}")