From ce90ea1d5f5feaa664e432d539f365bac26bd2e9 Mon Sep 17 00:00:00 2001 From: KNSO Date: Sat, 12 Sep 2026 16:53:18 +0200 Subject: [PATCH] feat(extract): Chunk-Ausgabe, Manifest und Ablaufsteuerung Task 6: leonida/emit.py (chunk_box, split_by_chunk, chunk_payload und die Chunk-lokalen three.js-Koordinaten, write_chunks, write_debug_png) sowie run.py als Ablaufsteuerung, die alles aus den Tasks 3-5 zu 144 Chunk-Dateien und einem Manifest unter public/data/vice-a/ zusammenfuehrt. Zwei Abweichungen vom Referenzcode der Aufgabe, beide durch Gegenrechnen gegen die dort genannten Realwerte gefunden: - test_emit.py::test_coordinates_are_chunk_local_three_js gab im Original das ungeschnittene BIG (spannt vier Chunks) direkt an chunk_payload(); chunk_payload() clippt selbst nicht (das tut in run.py split_by_chunk_all vorher), darum lag der Rand bei x=300 statt <=250 und der Test schlug mit dem gegebenen Code fehl. Fix: BIG vor dem Aufruf mit split_by_chunk auf Chunk (0,0) zuschneiden, wie es run.py fuer "land" ohnehin tut. - run.pys Filter "Gebaeude, die zu >50% in einem Strassenpolygon liegen, gelten als Strasse" pruefte im Original ALLE rohen Gebaeude gegen road_polygons(labels) direkt. road_polygons() zaehlt "spekulativ" selbst zu den Strassenklassen (ROAD_CLASSES) und schliesst zusaetzlich mit disk(3) gegen Strassennamen; ein isoliertes "spekulativ"-Gebaeude ueberlappt sich darueber praktisch mit sich selbst. Ergebnis am realen Mosaik: von 267 rohen spekulativen Gebaeuden ueberlebten nur 3 (statt der in der Aufgabe genannten Groessenordnung von 258), und die Schliessung riss zusaetzlich 211 gewoehnliche graue Gebaeude mit heraus, die die Notiz aus Task 5 ausdruecklich nicht meinte ("die ROTEN Flaechen ... werden abgezogen"). Fix: eigenes, unzweideutiges Strassenmass nur aus "strasse"/"weg" (ohne "spekulativ", ohne Namens-Schliessung), Pruefung nur auf spekulative Kandidaten begrenzt. Ergebnis: 2.348 Gebaeude, davon 263 spekulativ (Aufgabe: 2.352 bzw. 258) - Wahrzeichenhoehen (68 Stueck, 31-248 m) und Palmenzahl (2.133) treffen die genannten Referenzwerte exakt. Pipeline-Lauf am gecachten Mosaik: 144 Chunk-Dateien + Manifest, 2,5 MB gesamt (Budget 10 MB), groesste Datei chunk_9_1.json/chunk_10_1.json mit je 40 KB. Alle drei Toleranzgrenzen (wasser/strasse/gebaeude) eingehalten. Debug-PNGs stichprobenartig gesichtet: Kuestenlinie, Strassennetz (inklusive Kreuzungen und einer Auffahrt-Rampe) und ein Strand mit Palmenreihe liegen deckungsgleich auf dem Mosaik; der wasserreine Chunk (4,10) zeigt korrekt keine Vektoren. Co-Authored-By: Claude Sonnet 5 --- public/data/vice-a/chunk_0_0.json | 1 + public/data/vice-a/chunk_0_1.json | 1 + public/data/vice-a/chunk_0_10.json | 1 + public/data/vice-a/chunk_0_11.json | 1 + public/data/vice-a/chunk_0_2.json | 1 + public/data/vice-a/chunk_0_3.json | 1 + public/data/vice-a/chunk_0_4.json | 1 + public/data/vice-a/chunk_0_5.json | 1 + public/data/vice-a/chunk_0_6.json | 1 + public/data/vice-a/chunk_0_7.json | 1 + public/data/vice-a/chunk_0_8.json | 1 + public/data/vice-a/chunk_0_9.json | 1 + public/data/vice-a/chunk_10_0.json | 1 + public/data/vice-a/chunk_10_1.json | 1 + public/data/vice-a/chunk_10_10.json | 1 + public/data/vice-a/chunk_10_11.json | 1 + public/data/vice-a/chunk_10_2.json | 1 + public/data/vice-a/chunk_10_3.json | 1 + public/data/vice-a/chunk_10_4.json | 1 + public/data/vice-a/chunk_10_5.json | 1 + public/data/vice-a/chunk_10_6.json | 1 + public/data/vice-a/chunk_10_7.json | 1 + public/data/vice-a/chunk_10_8.json | 1 + 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z!6st#p7YPU_pjb@&-s6K*dfagS^m7Gi}&fPmM9V`Ygv`ctgU1kF+4PHVA;~82kyV$ z^Y&XrtO+TpL=bTdw9k^XIh{17n^RkQOJPqb3^??70)l$VP!12^?9cj~B`Q&Q#7Rg| zDF87kp^*SN21MNsrY9;v$qAdbNLH;pZt}c0`CO$^j$xlOJvk5sOZsaIDsg`t#7L5? z&9qq1Q|*hx5EGqed77yl_G+-!8>kxPxy;-d1+PxIYlApBq*X8hIOM4-)HuV-r*$AF z*yMxk#OI%M$(0}a%KN_R_mti*(w7CduSj;@{LCnx;+1fwry;le(vQE05c<&BmyC{% zN+}D6_+o>*{qUPqFWoAoOw+Wtw>Njg7{fU)m&^YbR0Y7Flon;!00000NkvXXu0mjf DUk^F& literal 0 HcmV?d00001 diff --git a/tools/extract/leonida/emit.py b/tools/extract/leonida/emit.py new file mode 100644 index 0000000..c5f8dba --- /dev/null +++ b/tools/extract/leonida/emit.py @@ -0,0 +1,98 @@ +import json +from pathlib import Path + +from shapely.geometry import Polygon, box + +from .coords import CHUNK_SIZE, SLICE + +N = (SLICE["x1"] - SLICE["x0"]) // CHUNK_SIZE # 12 + + +def chunk_box(i: int, j: int) -> Polygon: + x0 = SLICE["x0"] + i * CHUNK_SIZE + y1 = SLICE["y1"] - j * CHUNK_SIZE + return box(x0, y1 - CHUNK_SIZE, x0 + CHUNK_SIZE, y1) + + +def split_by_chunk(poly: Polygon) -> dict[tuple[int, int], Polygon]: + out = {} + for j in range(N): + for i in range(N): + part = poly.intersection(chunk_box(i, j)) + if not part.is_empty and part.area > 0.5: + out[(i, j)] = part + return out + + +def _ring(poly: Polygon, i: int, j: int) -> list[list[float]]: + ox = SLICE["x0"] + i * CHUNK_SIZE + oy = SLICE["y1"] - j * CHUNK_SIZE + # Welt (X, Y) -> three (x, z) -> relativ zur Chunk-Ecke + return [[round(x - ox, 2), round(-y - (-oy), 2)] for x, y in poly.exterior.coords] + + +def chunk_payload(i, j, *, land, surfaces, roads, centerlines, buildings, palms) -> dict: + ox = SLICE["x0"] + i * CHUNK_SIZE + oy = SLICE["y1"] - j * CHUNK_SIZE + return { + "chunk": [i, j], + "origin": [ox, -oy], + "land": [_ring(p, i, j) for p in land], + "surfaces": [{"poly": _ring(p, i, j), "kind": k} for p, k in surfaces], + "roads": [{"poly": _ring(p, i, j), "bridge": b} for p, b in roads], + "centerlines": [[[round(x - ox, 2), round(-y + oy, 2)] for x, y in ln.coords] for ln in centerlines], + "buildings": [{"poly": _ring(p, i, j), "height": h["height"], + "source": h["source"], "speculative": s} for p, h, s in buildings], + "palms": [[round(x - ox, 2), round(-y + oy, 2)] for x, y in palms], + } + + +def chunk_box_of(i: int, j: int) -> Polygon: + return chunk_box(i, j) + + +def split_by_chunk_all(polys, i: int, j: int): + """Alle Anteile der übergebenen Polygone, die in Chunk (i, j) liegen.""" + cell = chunk_box(i, j) + for poly in polys: + part = poly.intersection(cell) + if not part.is_empty and part.area > 0.5: + if part.geom_type == "Polygon": + yield part + else: + yield from (g for g in part.geoms if g.geom_type == "Polygon" and g.area > 0.5) + + +def in_chunk(point, i: int, j: int) -> bool: + x0 = SLICE["x0"] + i * CHUNK_SIZE + y1 = SLICE["y1"] - j * CHUNK_SIZE + return x0 <= point[0] < x0 + CHUNK_SIZE and y1 - CHUNK_SIZE <= point[1] < y1 + + +def write_debug_png(out_dir: Path, mosaic, payloads: list[dict]) -> None: + """Ein Bild je Chunk: die extrahierten Vektoren über der Karte, zur Sichtprüfung.""" + from PIL import Image, ImageDraw + out_dir.mkdir(parents=True, exist_ok=True) + for payload in payloads: + i, j = payload["chunk"] + x0, y0 = i * CHUNK_SIZE, j * CHUNK_SIZE + crop = Image.fromarray(mosaic[y0:y0 + CHUNK_SIZE, x0:x0 + CHUNK_SIZE]).convert("RGB") + draw = ImageDraw.Draw(crop) + for ring in payload["land"]: + draw.line([tuple(pt) for pt in ring] + [tuple(ring[0])], fill=(0, 255, 255), width=1) + for road in payload["roads"]: + draw.line([tuple(pt) for pt in road["poly"]], fill=(255, 0, 255), width=1) + for b in payload["buildings"]: + if len(b["poly"]) >= 3: + draw.polygon([tuple(pt) for pt in b["poly"]], outline=(255, 220, 0)) + for x, z in payload["palms"]: + draw.ellipse([x - 2, z - 2, x + 2, z + 2], outline=(0, 200, 0)) + crop.save(out_dir / f"chunk_{i}_{j}.png") + + +def write_chunks(out_dir: Path, payloads: list[dict], meta: dict) -> None: + out_dir.mkdir(parents=True, exist_ok=True) + for payload in payloads: + i, j = payload["chunk"] + (out_dir / f"chunk_{i}_{j}.json").write_text(json.dumps(payload, separators=(",", ":"))) + (out_dir / "manifest.json").write_text(json.dumps(meta, indent=1)) diff --git a/tools/extract/run.py b/tools/extract/run.py new file mode 100644 index 0000000..ec0f9bb --- /dev/null +++ b/tools/extract/run.py @@ -0,0 +1,90 @@ +"""Erzeugt aus den Kacheln die Chunk-Dateien. Aufruf: uv run python run.py""" +import json +from pathlib import Path + +from leonida.buildings import building_polygons +from leonida.classify import CLASSES, class_shares, classify +from leonida.emit import (chunk_box_of, chunk_payload, in_chunk, split_by_chunk_all, + write_chunks, write_debug_png) +from leonida.heights import assign_heights, palm_points +from leonida.tiles import COMMIT, download_tiles, load_mosaic +from leonida.vectors import centerlines, land_polygons, mask_polygons, road_polygons + +SEED = 20260912 +OUT = Path(__file__).resolve().parents[2] / "public" / "data" / "vice-a" +TOLERANCE = {"wasser": (0.30, 0.36), "strasse": (0.10, 0.14), "gebaeude": (0.09, 0.13)} + + +def main() -> None: + cache = Path("cache") + download_tiles(cache) + mosaic = load_mosaic(cache) + labels, unknown_share = classify(mosaic, report_unknown=True) + if unknown_share > 0.05: + raise SystemExit(f"{unknown_share:.1%} der Pixel unbekannt. Palette kalibrieren, nicht die Grenze anheben.") + shares = class_shares(labels) + for name, (lo, hi) in TOLERANCE.items(): + if not lo <= shares[name] <= hi: + raise SystemExit(f"Klassenanteil {name}={shares[name]:.3f} außerhalb {lo}..{hi}. Palette prüfen.") + + land = land_polygons(labels) + roads = road_polygons(labels) + lines = centerlines(labels) + sand = mask_polygons(labels == CLASSES["sand"], 50, 1.0) + parks = mask_polygons(labels == CLASSES["gruen"], 50, 1.0) + urban = mask_polygons(labels == CLASSES["stadt"], 80, 1.5) + surfaces = [(p, "sand") for p in sand] + [(p, "park") for p in parks] + [(p, "urban") for p in urban] + + road_shapes = [p for p, _ in roads] + raw = building_polygons(labels) + # Nur "spekulativ" (rot) ist mit road_polygons() ueberhaupt doppelt vergeben: die + # ROAD_CLASSES in vectors.py zaehlen "spekulativ" selbst als Strassenklasse, und + # road_mask() schliesst zusaetzlich mit disk(3), um Strassennamen zu ueberbruecken. + # Wuerde man road_shapes (= road_polygons(labels), inklusive dieser Schliessung und + # inklusive "spekulativ") direkt gegen ALLE rohen Gebaeude pruefen, vergleicht ein + # isoliertes "spekulativ"-Gebaeude sich praktisch mit sich selbst (dieselben Pixel + # bilden dort auch das Strassenpolygon) und faellt so gut wie immer heraus: am realen + # Mosaik blieben nur 3 von 267 "spekulativ"-Gebaeuden uebrig statt der erwarteten + # Groessenordnung (Task-6-Referenzwerte: 258 von 267), und die Schliessung riss + # zusaetzlich 211 gewoehnliche (graue) Gebaeude mit, die die Notiz in Task 5 gar nicht + # meinte ("die ROTEN Flaechen ... werden abgezogen"). Deshalb hier ein eigenes, + # unzweideutiges Strassenmass nur aus "strasse"/"weg" (ohne "spekulativ", ohne die + # Namens-Schliessung) und die Pruefung nur auf spekulative Kandidaten begrenzt; graue + # Gebaeude durchlaufen ungeprueft. Ergebnis am realen Mosaik: 2.348 Gebaeude, davon 263 + # spekulativ (Referenz: 2.352 bzw. 258) — Wahrzeichenhoehen (68, 31-248 m) und + # Palmenzahl (2.133) treffen die Referenz exakt. + unambiguous_mask = (labels == CLASSES["strasse"]) | (labels == CLASSES["weg"]) + unambiguous_roads = mask_polygons(unambiguous_mask, min_area=20, simplify=0.8) + buildings = [(p, s) for p, s in raw + if not s or not any(p.intersection(r).area > 0.5 * p.area for r in unambiguous_roads)] + + landmarks = json.loads(Path("data/skyline.json").read_text())["landmarks"] + districts = json.loads(Path("data/districts.json").read_text()) + heights = assign_heights([p for p, _ in buildings], landmarks, districts, SEED) + palms = palm_points(sand, parks, lines, [p for p, _ in buildings], road_shapes, + land, SEED) + + payloads = [] + for j in range(12): + for i in range(12): + payloads.append(chunk_payload( + i, j, + land=list(split_by_chunk_all(land, i, j)), + surfaces=[(part, kind) for (p, kind) in surfaces for part in split_by_chunk_all([p], i, j)], + roads=[(part, b) for (p, b) in roads for part in split_by_chunk_all([p], i, j)], + centerlines=[ln for ln in lines if ln.intersects(chunk_box_of(i, j))], + buildings=[(p, h, s) for (p, s), h in zip(buildings, heights) + if p.intersects(chunk_box_of(i, j))], + palms=[pt for pt in palms if in_chunk(pt, i, j)], + )) + write_debug_png(Path("debug"), mosaic, payloads) + write_chunks(OUT, payloads, { + "slice": "vice-a", "source_commit": COMMIT, "seed": SEED, + "chunk_size": 250, "chunks": [p["chunk"] for p in payloads], + "class_shares": shares, + "attribution": "Kartenkacheln: GTA VI Map (CC BY 4.0) — https://map.gtadb.org, YANIS v15. Wahrzeichen: rolux/gtamaplib-vc (Unlicense).", + }) + + +if __name__ == "__main__": + main() diff --git a/tools/extract/tests/test_emit.py b/tools/extract/tests/test_emit.py new file mode 100644 index 0000000..1185405 --- /dev/null +++ b/tools/extract/tests/test_emit.py @@ -0,0 +1,25 @@ +import json +from shapely.geometry import Polygon +from leonida.emit import chunk_payload, split_by_chunk + +BIG = Polygon([(-1000, 2500), (-700, 2500), (-700, 2200), (-1000, 2200)]) # Chunk (0,0) und Nachbarn + +def test_polygon_is_clipped_into_its_chunks(): + parts = split_by_chunk(BIG) + assert set(parts) >= {(0, 0), (1, 0), (0, 1), (1, 1)} + assert abs(sum(p.area for p in parts.values()) - BIG.area) < 1.0 + +def test_coordinates_are_chunk_local_three_js(): + # chunk_payload() nimmt (wie in run.py) bereits chunk-geschnittene Geometrie entgegen; + # BIG selbst überspannt vier Chunks (siehe Test oben), darum hier zuerst zuschneiden. + clipped = split_by_chunk(BIG)[(0, 0)] + payload = chunk_payload(0, 0, land=[clipped], surfaces=[], roads=[], centerlines=[], buildings=[], palms=[]) + ring = payload["land"][0] + assert payload["origin"] == [-1000, -2500] # three-z = -Y + assert min(x for x, _ in ring) >= -0.01 + assert max(x for x, _ in ring) <= 250.01 + +def test_payload_matches_schema(): + payload = chunk_payload(2, 3, land=[], surfaces=[], roads=[], centerlines=[], buildings=[], palms=[]) + assert set(payload) == {"chunk", "origin", "land", "surfaces", "roads", "centerlines", "buildings", "palms"} + assert payload["chunk"] == [2, 3]

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