You've already forked etude_lego_jurassic_world
Ajoute le graphique du nombre de minifigs par set
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71
lib/rebrickable/minifig_counts.py
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71
lib/rebrickable/minifig_counts.py
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"""Comptage des minifigs par set filtré."""
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import csv
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from pathlib import Path
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from typing import Dict, Iterable, List, Sequence, Set
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from lib.filesystem import ensure_parent_dir
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from lib.rebrickable.minifigs_by_set import load_parts_catalog, select_head_parts
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from lib.rebrickable.stats import read_rows
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def load_sets(path: Path) -> List[dict]:
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"""Charge les sets enrichis depuis un CSV."""
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return read_rows(path)
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def load_parts_filtered(path: Path) -> List[dict]:
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"""Charge parts_filtered.csv en mémoire."""
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return read_rows(path)
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def count_heads_by_set(
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sets_rows: Iterable[dict],
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parts_rows: Iterable[dict],
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head_parts: Set[str],
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) -> List[dict]:
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"""Compte les têtes de minifigs présentes dans chaque set (hors rechanges)."""
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counts: Dict[str, int] = {row["set_num"]: 0 for row in sets_rows}
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for row in parts_rows:
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if row["part_num"] not in head_parts:
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continue
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if row["is_spare"] == "true":
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continue
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counts[row["set_num"]] += int(row["quantity_in_set"])
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results: List[dict] = []
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for row in sets_rows:
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results.append(
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{
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"set_num": row["set_num"],
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"set_id": row["set_id"],
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"name": row["name"],
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"year": row["year"],
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"minifig_count": counts[row["set_num"]],
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}
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)
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results.sort(key=lambda r: (-r["minifig_count"], r["set_num"]))
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return results
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def build_minifig_counts_by_set(
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sets_path: Path,
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parts_filtered_path: Path,
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parts_catalog_path: Path,
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) -> List[dict]:
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"""Construit la liste des sets avec leur nombre de minifigs."""
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sets_rows = load_sets(sets_path)
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parts_rows = load_parts_filtered(parts_filtered_path)
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catalog = load_parts_catalog(parts_catalog_path)
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head_parts = select_head_parts(catalog)
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return count_heads_by_set(sets_rows, parts_rows, head_parts)
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def write_minifig_counts(destination_path: Path, rows: Sequence[dict]) -> None:
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"""Écrit le CSV listant le nombre de minifigs par set."""
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ensure_parent_dir(destination_path)
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fieldnames = ["set_num", "set_id", "name", "year", "minifig_count"]
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with destination_path.open("w", newline="") as csv_file:
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writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
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writer.writeheader()
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for row in rows:
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writer.writerow(row)
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