111 lines
6.0 KiB
Python
111 lines
6.0 KiB
Python
"""Erzeugt aus den Kacheln die Chunk-Dateien. Aufruf: uv run python run.py"""
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import json
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from pathlib import Path
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from leonida.annotations import load_annotations, mark_generated, remove_annotations
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from leonida.buildings import building_polygons
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from leonida.classify import CLASSES, class_shares, classify, drop_map_labels
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from leonida.emit import (chunk_box_of, chunk_payload, in_chunk, split_by_chunk_all,
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write_chunks, write_debug_png)
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from leonida.heights import assign_heights, palm_points
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from leonida.park import World, apply_flamingo_park
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from leonida.tiles import COMMIT, download_tiles, load_mosaic
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from leonida.vectors import centerlines, land_polygons, mask_polygons, road_polygons
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from overview import render_map
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SEED = 20260912
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OUT = Path(__file__).resolve().parents[2] / "public" / "data" / "vice-a"
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PARK = Path("data/flamingo-park.toml")
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TOLERANCE = {"wasser": (0.30, 0.36), "strasse": (0.10, 0.14), "gebaeude": (0.09, 0.13)}
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def main() -> None:
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cache = Path("cache")
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download_tiles(cache)
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mosaic = load_mosaic(cache)
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labels, unknown_share = classify(mosaic, report_unknown=True)
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labels = drop_map_labels(labels)
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removal = remove_annotations(mosaic, labels, load_annotations(Path("data/annotations.toml")))
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labels = removal.labels
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labels = drop_map_labels(labels) # Inselreste, die erst das Entfernen im Wasser hinterlässt
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print(removal.report())
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if unknown_share > 0.05:
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raise SystemExit(f"{unknown_share:.1%} der Pixel unbekannt. Palette kalibrieren, nicht die Grenze anheben.")
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shares = class_shares(labels)
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for name, (lo, hi) in TOLERANCE.items():
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if not lo <= shares[name] <= hi:
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raise SystemExit(f"Klassenanteil {name}={shares[name]:.3f} außerhalb {lo}..{hi}. Palette prüfen.")
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land = land_polygons(labels)
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roads = road_polygons(labels)
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lines = centerlines(labels)
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sand = mask_polygons(labels == CLASSES["sand"], 50, 1.0)
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parks = mask_polygons(labels == CLASSES["gruen"], 50, 1.0)
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urban = mask_polygons(labels == CLASSES["stadt"], 80, 1.5)
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surfaces = [(p, "sand") for p in sand] + [(p, "park") for p in parks] + [(p, "urban") for p in urban]
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road_shapes = [p for p, _ in roads]
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raw = building_polygons(labels)
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# Nur "spekulativ" (rot) ist mit road_polygons() ueberhaupt doppelt vergeben: die
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# ROAD_CLASSES in vectors.py zaehlen "spekulativ" selbst als Strassenklasse, und
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# road_mask() schliesst zusaetzlich mit disk(3), um Strassennamen zu ueberbruecken.
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# Wuerde man road_shapes (= road_polygons(labels), inklusive dieser Schliessung und
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# inklusive "spekulativ") direkt gegen ALLE rohen Gebaeude pruefen, vergleicht ein
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# isoliertes "spekulativ"-Gebaeude sich praktisch mit sich selbst (dieselben Pixel
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# bilden dort auch das Strassenpolygon) und faellt so gut wie immer heraus: am realen
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# Mosaik blieben nur 3 von 267 "spekulativ"-Gebaeuden uebrig statt der erwarteten
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# Groessenordnung (Task-6-Referenzwerte: 258 von 267), und die Schliessung riss
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# zusaetzlich 211 gewoehnliche (graue) Gebaeude mit, die die Notiz in Task 5 gar nicht
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# meinte ("die ROTEN Flaechen ... werden abgezogen"). Deshalb hier ein eigenes,
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# unzweideutiges Strassenmass nur aus "strasse"/"weg" (ohne "spekulativ", ohne die
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# Namens-Schliessung) und die Pruefung nur auf spekulative Kandidaten begrenzt; graue
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# Gebaeude durchlaufen ungeprueft. Ergebnis am realen Mosaik: 2.348 Gebaeude, davon 263
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# spekulativ (Referenz: 2.352 bzw. 258) — Wahrzeichenhoehen (68, 31-248 m) und
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# Palmenzahl (2.133) treffen die Referenz exakt.
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unambiguous_mask = (labels == CLASSES["strasse"]) | (labels == CLASSES["weg"])
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unambiguous_roads = mask_polygons(unambiguous_mask, min_area=20, simplify=0.8)
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buildings = [(p, s) for p, s in raw
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if not s or not any(p.intersection(r).area > 0.5 * p.area for r in unambiguous_roads)]
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landmarks = json.loads(Path("data/skyline.json").read_text())["landmarks"]
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districts = json.loads(Path("data/districts.json").read_text())
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heights = assign_heights([p for p, _ in buildings], landmarks, districts, SEED)
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marked = mark_generated([p for p, _ in buildings], heights, removal.generated)
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print(f"Gebäude: {len(buildings)}, davon {marked} unter entfernten Beschriftungen ergänzt")
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palms = palm_points(sand, parks, lines, [p for p, _ in buildings], road_shapes,
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land, SEED)
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world = World(land=land, surfaces=surfaces, roads=roads, centerlines=lines,
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buildings=[(p, h, s) for (p, s), h in zip(buildings, heights)], palms=palms)
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world, messages = apply_flamingo_park(world, PARK, SEED)
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for message in messages:
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print(message)
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payloads = []
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for j in range(12):
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for i in range(12):
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payloads.append(chunk_payload(
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i, j,
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land=list(split_by_chunk_all(world.land, i, j)),
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surfaces=[(part, kind) for (p, kind) in world.surfaces for part in split_by_chunk_all([p], i, j)],
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roads=[(part, b) for (p, b) in world.roads for part in split_by_chunk_all([p], i, j)],
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centerlines=[ln for ln in world.centerlines if ln.intersects(chunk_box_of(i, j))],
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buildings=[(p, h, s) for (p, h, s) in world.buildings if p.intersects(chunk_box_of(i, j))],
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palms=[pt for pt in world.palms if in_chunk(pt, i, j)],
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paths=[part for p in world.paths for part in split_by_chunk_all([p], i, j)],
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))
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write_debug_png(Path("debug"), mosaic, payloads)
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write_chunks(OUT, payloads, {
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"slice": "vice-a", "source_commit": COMMIT, "seed": SEED,
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"chunk_size": 250, "chunks": [p["chunk"] for p in payloads],
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"class_shares": shares,
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"attribution": "Kartenkacheln: GTA VI Map (CC BY 4.0) — https://map.gtadb.org, YANIS v15. "
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"Wahrzeichen: rolux/gtamaplib-vc (Unlicense). "
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"Flamingo Park: © OpenStreetMap-Mitwirkende (ODbL).",
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})
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print(render_map(OUT, OUT), "->", OUT)
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if __name__ == "__main__":
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main()
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