# Gerado por IA
import os
from datetime import datetime
from database import get_today_messages, save_message
from config import settings


def get_daily_context_path() -> str:
    today = datetime.utcnow().strftime("%Y-%m-%d")
    os.makedirs(settings.CONTEXTS_DIR, exist_ok=True)
    return os.path.join(settings.CONTEXTS_DIR, f"conversas_{today}.json")


def load_daily_context() -> list[dict]:
    """Carrega o contexto do dia. SQLite e a fonte da verdade; JSON e um cache sincronizado."""
    # Fonte primaria: SQLite
    context = get_today_messages()
    if context:
        return context
    # Fallback: JSON (caso SQLite esteja vazio)
    path = get_daily_context_path()
    if os.path.exists(path):
        try:
            import json
            with open(path, "r", encoding="utf-8") as f:
                return json.load(f)
        except Exception:
            return []
    return []


def append_to_context(agent_name: str, message: str) -> None:
    path = get_daily_context_path()
    context = load_daily_context()
    timestamp = datetime.utcnow().isoformat()
    entry = {"agent_name": agent_name, "message": message, "created_at": timestamp}
    context.append(entry)

    import json
    with open(path, "w", encoding="utf-8") as f:
        json.dump(context, f, ensure_ascii=False, indent=2)

    save_message(agent_name, message)


def get_context_summary(max_messages: int = 50) -> str:
    context = load_daily_context()
    if not context:
        return "Nenhuma conversa registrada para hoje ainda."
    lines = [f"[{c['created_at']}] {c['agent_name']}: {c['message']}" for c in context[-max_messages:]]
    return "\n".join(lines)