import csv
import os
import tempfile
from datetime import datetime, timezone
from pathlib import Path


DEFAULT_LOGS_DIR = Path(os.getenv("LOGS_DIR", "/data/logs"))
FALLBACK_LOGS_DIR = Path(tempfile.gettempdir()) / "tcc2_agent" / "logs"


def _resolve_logs_dir():
    preferred_dir = os.environ.get("LOGS_DIR", "").strip()
    candidates = [Path(preferred_dir)] if preferred_dir else []
    candidates.extend([DEFAULT_LOGS_DIR, FALLBACK_LOGS_DIR])

    for directory in candidates:
        try:
            directory.mkdir(parents=True, exist_ok=True)
            return directory
        except OSError:
            continue

    raise OSError(
        "Nao foi possivel criar um diretorio para armazenar a memoria negativa. "
        "Defina LOGS_DIR para um caminho gravavel."
    )


def caminho_memoria_negativa():
    return str(_resolve_logs_dir() / "negative_memory.csv")


def inicializar_memoria_negativa():
    memory_file = caminho_memoria_negativa()

    if not os.path.exists(memory_file):
        with open(memory_file, "w", newline="", encoding="utf-8") as f:
            writer = csv.writer(f)
            writer.writerow([
                "timestamp",
                "search_id",
                "rank",
                "query",
                "product_id",
                "product_name",
                "rating",
                "motivo",
            ])


def salvar_memoria_negativa(
    query,
    product_id,
    product_name,
    rating,
    motivo="feedback_negativo",
    search_id=None,
    rank=None,
):
    inicializar_memoria_negativa()
    memory_file = caminho_memoria_negativa()

    row = [
        datetime.now(timezone.utc).isoformat(),
        search_id or "",
        rank if rank is not None else "",
        query or "",
        product_id or "",
        product_name or "",
        rating if rating is not None else "",
        motivo or "feedback_negativo",
    ]

    try:
        with open(memory_file, "a", newline="", encoding="utf-8") as f:
            writer = csv.writer(f)
            writer.writerow(row)
    except Exception as e:
        print("Erro ao salvar memoria negativa:", e)

    return {"status": "ok"}