"""Construction d'un inventaire détaillé des pièces par set."""

import csv
from pathlib import Path
from typing import Dict, List

from lib.filesystem import ensure_parent_dir


def normalize_boolean(raw_value: str) -> str:
    """Normalise une valeur booléenne en chaîne lowercase."""
    return raw_value.lower()


def select_latest_inventories(inventories_path: Path) -> Dict[str, dict]:
    """Retient pour chaque set l'inventaire avec la version la plus élevée."""
    latest_inventories: Dict[str, dict] = {}
    with inventories_path.open() as inventories_file:
        reader = csv.DictReader(inventories_file)
        for row in reader:
            current = latest_inventories.get(row["set_num"])
            if current is None or int(row["version"]) > int(current["version"]):
                latest_inventories[row["set_num"]] = {"id": row["id"], "version": row["version"]}
    return latest_inventories


def build_color_lookup(colors_path: Path) -> Dict[str, dict]:
    """Construit un index des couleurs par identifiant."""
    colors: Dict[str, dict] = {}
    with colors_path.open() as colors_file:
        reader = csv.DictReader(colors_file)
        for row in reader:
            colors[row["id"]] = {
                "rgb": row["rgb"],
                "is_translucent": normalize_boolean(row["is_trans"]),
            }
    return colors


def index_inventory_parts_by_inventory(inventory_parts_path: Path) -> Dict[str, List[dict]]:
    """Indexe les lignes d'inventaire par identifiant d'inventaire."""
    parts_by_inventory: Dict[str, List[dict]] = {}
    with inventory_parts_path.open() as parts_file:
        reader = csv.DictReader(parts_file)
        for row in reader:
            inventory_id = row["inventory_id"]
            if inventory_id not in parts_by_inventory:
                parts_by_inventory[inventory_id] = []
            parts_by_inventory[inventory_id].append(row)
    return parts_by_inventory


def index_inventory_minifigs_by_inventory(inventory_minifigs_path: Path) -> Dict[str, List[dict]]:
    """Indexe les minifigs par inventaire."""
    minifigs_by_inventory: Dict[str, List[dict]] = {}
    with inventory_minifigs_path.open() as minifigs_file:
        reader = csv.DictReader(minifigs_file)
        for row in reader:
            inventory_id = row["inventory_id"]
            if inventory_id not in minifigs_by_inventory:
                minifigs_by_inventory[inventory_id] = []
            minifigs_by_inventory[inventory_id].append(row)
    return minifigs_by_inventory


def build_minifig_lookup(minifigs_path: Path) -> Dict[str, dict]:
    """Construit un index des minifigs avec leur nombre de pièces."""
    minifigs: Dict[str, dict] = {}
    with minifigs_path.open() as minifigs_file:
        reader = csv.DictReader(minifigs_file)
        for row in reader:
            minifigs[row["fig_num"]] = row
    return minifigs


def write_parts_filtered(
    sets_path: Path,
    inventories_path: Path,
    inventory_parts_path: Path,
    colors_path: Path,
    inventory_minifigs_path: Path,
    minifigs_path: Path,
    destination_path: Path,
) -> None:
    """Assemble un CSV agrégé listant les pièces par set et par couleur."""
    latest_inventories = select_latest_inventories(inventories_path)
    parts_by_inventory = index_inventory_parts_by_inventory(inventory_parts_path)
    minifigs_by_inventory = index_inventory_minifigs_by_inventory(inventory_minifigs_path)
    minifigs = build_minifig_lookup(minifigs_path)
    colors = build_color_lookup(colors_path)
    ensure_parent_dir(destination_path)
    with sets_path.open() as sets_file, destination_path.open("w", newline="") as target_file:
        sets_reader = csv.DictReader(sets_file)
        fieldnames = [
            "part_num",
            "color_rgb",
            "is_translucent",
            "set_num",
            "set_id",
            "quantity_in_set",
            "is_spare",
        ]
        writer = csv.DictWriter(target_file, fieldnames=fieldnames)
        writer.writeheader()
        for set_row in sets_reader:
            inventory = latest_inventories[set_row["set_num"]]
            inventory_parts = parts_by_inventory[inventory["id"]]
            inventory_total_non_spare = sum(
                int(part_row["quantity"])
                for part_row in inventory_parts
                if normalize_boolean(part_row["is_spare"]) == "false"
            )
            expected_parts = int(set_row["num_parts"])
            for part_row in inventory_parts:
                color = colors[part_row["color_id"]]
                writer.writerow(
                    {
                        "part_num": part_row["part_num"],
                        "color_rgb": color["rgb"],
                        "is_translucent": color["is_translucent"],
                        "set_num": set_row["set_num"],
                        "set_id": set_row["set_id"],
                        "quantity_in_set": part_row["quantity"],
                        "is_spare": normalize_boolean(part_row["is_spare"]),
                    }
                )
            if inventory_total_non_spare < expected_parts:
                for minifig_row in minifigs_by_inventory.get(inventory["id"], []):
                    minifig_inventory = latest_inventories[minifig_row["fig_num"]]
                    minifig_parts = parts_by_inventory[minifig_inventory["id"]]
                    for part_row in minifig_parts:
                        color = colors[part_row["color_id"]]
                        writer.writerow(
                            {
                                "part_num": part_row["part_num"],
                                "color_rgb": color["rgb"],
                                "is_translucent": color["is_translucent"],
                                "set_num": set_row["set_num"],
                                "set_id": set_row["set_id"],
                                "quantity_in_set": str(int(part_row["quantity"]) * int(minifig_row["quantity"])),
                                "is_spare": normalize_boolean(part_row["is_spare"]),
                            }
                        )