98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
"""Agrégation des minifigs par personnage représenté."""
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from collections import defaultdict
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from pathlib import Path
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from typing import Dict, Iterable, List, Sequence
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from lib.rebrickable.stats import read_rows
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from lib.filesystem import ensure_parent_dir
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import csv
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def load_minifigs_by_set(path: Path) -> List[dict]:
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"""Charge le CSV minifigs_by_set."""
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return read_rows(path)
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def aggregate_by_character(rows: Iterable[dict]) -> List[dict]:
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"""Compte les minifigs distinctes par personnage (fig_num unique)."""
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fig_nums_by_character: Dict[str, set] = defaultdict(set)
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for row in rows:
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character = row["known_character"].strip()
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fig_num = row["fig_num"].strip()
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if character == "" or fig_num == "":
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continue
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fig_nums_by_character[character].add(fig_num)
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aggregates: List[dict] = []
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for character, fig_nums in fig_nums_by_character.items():
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aggregates.append({"known_character": character, "minifig_count": len(fig_nums)})
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aggregates.sort(key=lambda r: (-r["minifig_count"], r["known_character"]))
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return aggregates
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def write_character_counts(path: Path, rows: Sequence[dict]) -> None:
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"""Écrit le CSV des comptes par personnage."""
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ensure_parent_dir(path)
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fieldnames = ["known_character", "minifig_count"]
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with 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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def load_sets_enriched(path: Path) -> Dict[str, str]:
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"""Indexe les années par set_num."""
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lookup: Dict[str, str] = {}
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with path.open() as sets_file:
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reader = csv.DictReader(sets_file)
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for row in reader:
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lookup[row["set_num"]] = row["year"]
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return lookup
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def aggregate_presence_by_year(
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minifigs_rows: Iterable[dict],
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sets_years: Dict[str, str],
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excluded_characters: Sequence[str] | None = None,
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) -> List[dict]:
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"""Construit la présence binaire des personnages par année (hors figurants)."""
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excluded = set(excluded_characters or [])
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presence: set[tuple[str, int]] = set()
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years_all = {int(year) for year in sets_years.values()}
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for row in minifigs_rows:
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character = row["known_character"].strip()
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fig_num = row["fig_num"].strip()
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if character == "" or fig_num == "":
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continue
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if character in excluded:
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continue
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year = sets_years.get(row["set_num"])
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if year is None:
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continue
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presence.add((character, int(year)))
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years = sorted(years_all)
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characters = sorted({character for character, _ in presence})
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results: List[dict] = []
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for character in characters:
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for year in years:
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results.append(
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{
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"known_character": character,
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"year": str(year),
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"present": "1" if (character, year) in presence else "0",
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}
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)
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return results
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def write_presence_by_year(path: Path, rows: Sequence[dict]) -> None:
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"""Écrit la matrice présence binaire année/personnage."""
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ensure_parent_dir(path)
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fieldnames = ["known_character", "year", "present"]
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with 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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