Ajoute le diagramme de longévité des personnages

README.md

@@ -246,4 +246,11 @@ Le script lit `data/intermediate/minifigs_by_set.csv`, compte le nombre de minif
 1. `source .venv/bin/activate`
 2. `python -m scripts.plot_minifig_characters_timeline`
 
-Le script lit `data/intermediate/minifigs_by_set.csv` et `data/intermediate/sets_enriched.csv`, construit une matrice binaire personnage × année (hors figurants) enregistrée dans `data/intermediate/minifig_characters_year_presence.csv`, puis trace `figures/step22/minifig_characters_timeline.png` (heatmap binaire).
+Le script lit `data/intermediate/minifigs_by_set.csv` et `data/intermediate/sets_enriched.csv`, calcule le nombre de minifigs par personnage et par année (hors figurants) dans `data/intermediate/minifig_characters_year_presence.csv`, puis trace `figures/step22/minifig_characters_timeline.png` (heatmap avec volumes).
+
+### Étape 24 : longévité des personnages
+
+1. `source .venv/bin/activate`
+2. `python -m scripts.plot_minifig_character_spans`
+
+Le script lit `data/intermediate/minifigs_by_set.csv` et `data/intermediate/sets_enriched.csv`, calcule la première et la dernière année d'apparition pour chaque personnage (hors figurants), sérialise `data/intermediate/minifig_character_spans.csv`, puis trace `figures/step23/minifig_character_spans.png` (barres horizontales des spans).

lib/plots/minifig_character_spans.py

@@ -0,0 +1,63 @@
+"""Diagramme de longévité des personnages (bornes d'apparition)."""
+
+from pathlib import Path
+from typing import List
+
+import matplotlib.pyplot as plt
+
+from lib.filesystem import ensure_parent_dir
+from lib.rebrickable.stats import read_rows
+
+
+def load_spans(path: Path) -> List[dict]:
+    """Charge le CSV des bornes min/max par personnage."""
+    return read_rows(path)
+
+
+def plot_character_spans(spans_path: Path, destination_path: Path) -> None:
+    """Trace un diagramme en barres représentant la longévité des personnages."""
+    rows = load_spans(spans_path)
+    if not rows:
+        return
+    characters = [row["known_character"] for row in rows]
+    starts = [int(row["start_year"]) for row in rows]
+    ends = [int(row["end_year"]) for row in rows]
+    counts = [int(row["total_minifigs"]) for row in rows]
+    positions = list(range(len(rows)))
+    widths = [end - start + 1 for start, end in zip(starts, ends)]
+    min_year = min(starts)
+    max_year = max(ends)
+    height = max(5, len(rows) * 0.3)
+
+    fig, ax = plt.subplots(figsize=(12, height))
+    bars = ax.barh(
+        positions,
+        widths,
+        left=starts,
+        color="#1f77b4",
+        edgecolor="#0d0d0d",
+        linewidth=0.6,
+    )
+    ax.set_yticks(positions)
+    ax.set_yticklabels(characters)
+    ax.set_xlabel("Années d'apparition")
+    ax.set_ylabel("Personnage")
+    ax.set_title("Longévité des personnages (première à dernière apparition)")
+    ax.set_xlim(min_year - 1, max_year + 1)
+    ax.grid(True, axis="x", linestyle="--", alpha=0.25)
+    for bar, start, end, count in zip(bars, starts, ends, counts):
+        label = f"{start}–{end} ({count})" if start != end else f"{start} ({count})"
+        ax.text(
+            start + (end - start) / 2,
+            bar.get_y() + bar.get_height() / 2,
+            label,
+            ha="center",
+            va="center",
+            fontsize=8,
+            color="#0d0d0d",
+        )
+
+    ensure_parent_dir(destination_path)
+    fig.tight_layout()
+    fig.savefig(destination_path, dpi=160)
+    plt.close(fig)

lib/rebrickable/minifig_characters.py

@@ -2,7 +2,7 @@
 
 from collections import defaultdict
 from pathlib import Path
-from typing import Dict, Iterable, List, Sequence
+from typing import Dict, Iterable, List, Sequence, Set
 
 from lib.rebrickable.stats import read_rows
 from lib.filesystem import ensure_parent_dir
@@ -99,3 +99,55 @@ def write_presence_by_year(path: Path, rows: Sequence[dict]) -> None:
         writer.writeheader()
         for row in rows:
             writer.writerow(row)
+
+
+def aggregate_character_spans(
+    minifigs_rows: Iterable[dict],
+    sets_years: Dict[str, str],
+    excluded_characters: Sequence[str] | None = None,
+) -> List[dict]:
+    """Calcule la période d'apparition de chaque personnage (bornes min/max des années observées)."""
+    excluded = set(excluded_characters or [])
+    spans: Dict[str, Dict[str, int]] = {}
+    total_counts: Dict[str, int] = defaultdict(int)
+    for row in minifigs_rows:
+        character = row["known_character"].strip()
+        fig_num = row["fig_num"].strip()
+        if character == "" or fig_num == "":
+            continue
+        if character in excluded:
+            continue
+        year = sets_years.get(row["set_num"])
+        if year is None:
+            continue
+        year_int = int(year)
+        total_counts[character] += 1
+        current = spans.get(character)
+        if current is None:
+            spans[character] = {"start": year_int, "end": year_int}
+        else:
+            spans[character]["start"] = min(current["start"], year_int)
+            spans[character]["end"] = max(current["end"], year_int)
+    results: List[dict] = []
+    for character, bounds in spans.items():
+        results.append(
+            {
+                "known_character": character,
+                "start_year": str(bounds["start"]),
+                "end_year": str(bounds["end"]),
+                "total_minifigs": str(total_counts[character]),
+            }
+        )
+    results.sort(key=lambda r: (int(r["start_year"]), int(r["end_year"]), r["known_character"]))
+    return results
+
+
+def write_character_spans(path: Path, rows: Sequence[dict]) -> None:
+    """Écrit le CSV des bornes min/max par personnage."""
+    ensure_parent_dir(path)
+    fieldnames = ["known_character", "start_year", "end_year", "total_minifigs"]
+    with path.open("w", newline="") as csv_file:
+        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
+        writer.writeheader()
+        for row in rows:
+            writer.writerow(row)

scripts/plot_minifig_character_spans.py

@@ -0,0 +1,31 @@
+"""Trace la longévité des personnages représentés par les minifigs."""
+
+from pathlib import Path
+
+from lib.plots.minifig_character_spans import plot_character_spans
+from lib.rebrickable.minifig_characters import (
+    aggregate_character_spans,
+    load_minifigs_by_set,
+    load_sets_enriched,
+    write_character_spans,
+)
+
+
+MINIFIGS_BY_SET_PATH = Path("data/intermediate/minifigs_by_set.csv")
+SETS_ENRICHED_PATH = Path("data/intermediate/sets_enriched.csv")
+SPANS_PATH = Path("data/intermediate/minifig_character_spans.csv")
+DESTINATION_PATH = Path("figures/step23/minifig_character_spans.png")
+EXCLUDED_CHARACTERS = ["Figurant"]
+
+
+def main() -> None:
+    """Construit le CSV des bornes et trace le diagramme de longévité."""
+    minifigs = load_minifigs_by_set(MINIFIGS_BY_SET_PATH)
+    sets_years = load_sets_enriched(SETS_ENRICHED_PATH)
+    spans = aggregate_character_spans(minifigs, sets_years, excluded_characters=EXCLUDED_CHARACTERS)
+    write_character_spans(SPANS_PATH, spans)
+    plot_character_spans(SPANS_PATH, DESTINATION_PATH)
+
+
+if __name__ == "__main__":
+    main()

tests/test_minifig_character_spans_plot.py

@@ -0,0 +1,25 @@
+"""Tests du diagramme de longévité des personnages."""
+
+import matplotlib
+from pathlib import Path
+
+from lib.plots.minifig_character_spans import plot_character_spans
+
+
+matplotlib.use("Agg")
+
+
+def test_plot_character_spans(tmp_path: Path) -> None:
+    """Génère le graphique de span des personnages."""
+    spans_path = tmp_path / "minifig_character_spans.csv"
+    destination = tmp_path / "figures" / "step23" / "minifig_character_spans.png"
+    spans_path.write_text(
+        "known_character,start_year,end_year,total_minifigs\n"
+        "Owen Grady,2020,2022,3\n"
+        "Figurant,2019,2020,2\n"
+    )
+
+    plot_character_spans(spans_path, destination)
+
+    assert destination.exists()
+    assert destination.stat().st_size > 0

tests/test_minifig_characters.py

@@ -2,8 +2,13 @@
 
 from pathlib import Path
 
-from lib.rebrickable.minifig_characters import aggregate_by_character, write_character_counts
+from lib.rebrickable.minifig_characters import (
-from lib.rebrickable.minifig_characters import aggregate_presence_by_year, write_presence_by_year, load_sets_enriched
+    aggregate_by_character,
+    aggregate_character_spans,
+    aggregate_presence_by_year,
+    load_sets_enriched,
+    write_character_counts,
+)
 
 
 def test_aggregate_by_character_counts_unique_figs() -> None:
@@ -58,3 +63,26 @@ def test_aggregate_presence_by_year_excludes_figurants(tmp_path: Path) -> None:
         {"known_character": "Owen Grady", "year": "2020", "minifig_count": "1"},
         {"known_character": "Owen Grady", "year": "2021", "minifig_count": "0"},
     ]
+
+
+def test_aggregate_character_spans_excludes_figurants(tmp_path: Path) -> None:
+    """Calcule les bornes min/max par personnage."""
+    sets_path = tmp_path / "sets_enriched.csv"
+    sets_path.write_text(
+        "set_num,year\n"
+        "123-1,2020\n"
+        "124-1,2021\n"
+        "125-1,2022\n"
+    )
+    sets_years = load_sets_enriched(sets_path)
+    minifigs_rows = [
+        {"set_num": "123-1", "known_character": "Owen Grady", "fig_num": "fig-owen", "part_num": "head-a"},
+        {"set_num": "124-1", "known_character": "Owen Grady", "fig_num": "fig-owen", "part_num": "head-a"},
+        {"set_num": "125-1", "known_character": "Figurant", "fig_num": "fig-guard", "part_num": "head-b"},
+    ]
+
+    spans = aggregate_character_spans(minifigs_rows, sets_years, excluded_characters=["Figurant"])
+
+    assert spans == [
+        {"known_character": "Owen Grady", "start_year": "2020", "end_year": "2021", "total_minifigs": "2"},
+    ]