# backend/app/core/replay_learning.py
from typing import Any

from sqlalchemy.orm import Session as DBSession

from .refactor_engine import HybridRefactor


def learn_from_replays(db: DBSession | None = None) -> None:
    """
    Analyze replays and apply refactoring improvements.
    
    Note: This function is currently a placeholder. The Session model
    does not have log_data, code_snapshot, refactored_code, or refactor_score
    fields. This would need to be connected to actual replay/refactoring data.
    """
    from app.database import get_db
    
    gen_created = db is None
    gen = None
    
    try:
        if gen_created:
            gen = get_db()
            db = next(gen)
        
        # Placeholder: HybridRefactor would analyze session data
        # if the appropriate fields existed on the Session model
        pass
    finally:
        if gen_created and gen is not None:
            gen.close()
