7fd11f3806
southbank, albert_parklands, story_bridge, kangaroo_point + queen_st_mall rebuilt textured. Level builder now does: FLUX facade/road/grass/water/rock/ steel materials with box-projected UVs (roofs split to plain grey), parks, multipolygon river water (solid, cars skim it), tree nodes as low-poly cones, natural=cliff walls, and a procedural steel cantilever truss along a named bridge way (Story Bridge / Bradfield Highway, 338m). osm_xml_to_json.py assembles water relations; osm_level_args.py gains trace: mode for race paths that follow one iconic road. 11 textures via Cloudflare Workers AI flux-1-schnell (tools/flux_texture.sh, creds from .env never printed). Data (c) OpenStreetMap contributors, ODbL. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
93 lines
3.1 KiB
Python
93 lines
3.1 KiB
Python
#!/usr/bin/env python3
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"""Compute Spawn + RacePath args for build_level_osm.py from Overpass JSON.
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Usage: osm_level_args.py <overpass.json> <spawn_way_name> <loop_street1,street2,...>
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Spawn: a point on the named way that is NOT inside any building footprint
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(CBD malls have awnings/buildings mapped over them), bearing taken from that
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point's own segment. RacePath: intersection nodes of consecutive loop streets.
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Prints two shell-ready args: "lat,lon,bearing" and "lat,lon;lat,lon;..."
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"""
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import json
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import math
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import sys
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data = json.load(open(sys.argv[1]))
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spawn_name = sys.argv[2]
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loop = sys.argv[3].split(",")
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M_LAT = 110574.0
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def xy(lat, lon, lat0):
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return (lon * 111320.0 * math.cos(math.radians(lat0)), lat * M_LAT)
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ways = {}
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polys = []
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for e in data["elements"]:
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tags = e.get("tags", {})
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name = tags.get("name")
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if name and e.get("nodes") and e.get("geometry"):
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ways.setdefault(name, []).append(e)
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if tags.get("building") and e.get("geometry"):
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polys.append([(g["lat"], g["lon"]) for g in e["geometry"]])
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def inside(lat, lon, poly):
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n = len(poly)
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hit = False
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for i in range(n - 1):
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(y1, x1), (y2, x2) = poly[i], poly[i + 1]
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if (y1 > lat) != (y2 > lat) and lon < (x2 - x1) * (lat - y1) / (y2 - y1) + x1:
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hit = not hit
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return hit
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def in_any_building(lat, lon):
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return any(inside(lat, lon, p) for p in polys)
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sw = ways.get(spawn_name)
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assert sw, "no way named %r" % spawn_name
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candidates = []
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for w in sw:
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geo = w["geometry"]
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for i in range(1, len(geo) - 1):
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g = geo[i]
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if in_any_building(g["lat"], g["lon"]):
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continue
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a, b = geo[i - 1], geo[i + 1]
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bearing = math.degrees(math.atan2(
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(b["lon"] - a["lon"]) * math.cos(math.radians(g["lat"])),
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b["lat"] - a["lat"])) % 360
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candidates.append((g["lat"], g["lon"], bearing))
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assert candidates, "every point of %r is inside a building" % spawn_name
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clat = sum(c[0] for c in candidates) / len(candidates)
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clon = sum(c[1] for c in candidates) / len(candidates)
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lat, lon, bearing = min(candidates, key=lambda c: (c[0] - clat) ** 2 + (c[1] - clon) ** 2)
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print("%.6f,%.6f,%.1f" % (lat, lon, bearing))
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def nodes_of(name):
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out = {}
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for w in ways.get(name, []):
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for nid, g in zip(w["nodes"], w["geometry"]):
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out[nid] = (g["lat"], g["lon"])
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return out
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if loop[0].startswith("trace:"):
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# follow the longest way of this name; the curve closes itself back
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tname = loop[0][6:]
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assert tname in ways, "no way named %r" % tname
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geo = max(ways[tname], key=lambda w: len(w["geometry"]))["geometry"]
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step = max(1, len(geo) // 12)
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picked = geo[::step]
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if picked[-1] != geo[-1]:
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picked.append(geo[-1])
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print(";".join("%.6f,%.6f" % (g["lat"], g["lon"]) for g in picked))
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sys.exit(0)
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corners = []
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for i, street in enumerate(loop):
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nxt = loop[(i + 1) % len(loop)]
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shared = set(nodes_of(street)) & set(nodes_of(nxt))
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assert shared, "no intersection %s x %s" % (street, nxt)
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lat, lon = nodes_of(street)[sorted(shared)[0]]
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corners.append("%.6f,%.6f" % (lat, lon))
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print(";".join(corners))
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