"""Comptage des minifigs par set filtré."""

import csv
from pathlib import Path
from typing import Dict, Iterable, List, Sequence, Set

from lib.filesystem import ensure_parent_dir
from lib.rebrickable.minifigs_by_set import load_parts_catalog, select_head_parts
from lib.rebrickable.stats import read_rows


def load_sets(path: Path) -> List[dict]:
    """Charge les sets enrichis depuis un CSV."""
    return read_rows(path)


def load_parts_filtered(path: Path) -> List[dict]:
    """Charge parts_filtered.csv en mémoire."""
    return read_rows(path)


def count_heads_by_set(
    sets_rows: Iterable[dict],
    parts_rows: Iterable[dict],
    head_parts: Set[str],
) -> List[dict]:
    """Compte les têtes de minifigs présentes dans chaque set (hors rechanges)."""
    counts: Dict[str, int] = {row["set_num"]: 0 for row in sets_rows}
    for row in parts_rows:
        if row["part_num"] not in head_parts:
            continue
        if row["is_spare"] == "true":
            continue
        counts[row["set_num"]] += int(row["quantity_in_set"])
    results: List[dict] = []
    for row in sets_rows:
        results.append(
            {
                "set_num": row["set_num"],
                "set_id": row["set_id"],
                "name": row["name"],
                "year": row["year"],
                "minifig_count": counts[row["set_num"]],
            }
        )
    results.sort(key=lambda r: (-r["minifig_count"], r["set_num"]))
    return results


def build_minifig_counts_by_set(
    sets_path: Path,
    parts_filtered_path: Path,
    parts_catalog_path: Path,
) -> List[dict]:
    """Construit la liste des sets avec leur nombre de minifigs."""
    sets_rows = load_sets(sets_path)
    parts_rows = load_parts_filtered(parts_filtered_path)
    catalog = load_parts_catalog(parts_catalog_path)
    head_parts = select_head_parts(catalog)
    return count_heads_by_set(sets_rows, parts_rows, head_parts)


def write_minifig_counts(destination_path: Path, rows: Sequence[dict]) -> None:
    """Écrit le CSV listant le nombre de minifigs par set."""
    ensure_parent_dir(destination_path)
    fieldnames = ["set_num", "set_id", "name", "year", "minifig_count"]
    with destination_path.open("w", newline="") as csv_file:
        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
        writer.writeheader()
        for row in rows:
            writer.writerow(row)