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- Logistik: Musik-Player Playlist-Modus (5 Gruppen, 20 Tracks) - Heli: End-Screen auf .ggs-endscreen, Mission-Bilder, Voice-Lines, Briefing-Audio - Logistik: Layout-Tausch Auftraege+Fahrzeuge links, Karte rechts - Logistik: Tier-1-Staedte ausgebaut, Auto-Timescale-Badge - Logistik: Roadnet/Railnet Dijkstra-Routing, Balance-Updates - Atlas: 5 Atlas-Inbox-Nachrichten (Cards-Pattern, DALL-E-Key, Musik-Playlists) - Status-Updates Heli + Logistik Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
124 lines
4.4 KiB
Python
124 lines
4.4 KiB
Python
#!/usr/bin/env python3
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"""
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Baut die Polylines in lg-roadnet.json neu — diesmal OHNE Zwischen-
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wegpunkte. Grund: hand-kuratierte Zwischenpunkte lagen oft auf Stadt-
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Koordinaten (Linz, Wels, Amstetten). OSRM snappt solche Punkte auf die
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naechste Strasse = meist Innenstadt-Strasse, nicht Autobahn, und routet
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entsprechend hin und zurueck. Das erzeugt die sichtbaren Zacken.
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Loesung: nur [start, ende] an OSRM schicken. OSRM waehlt automatisch die
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zeitkuerzeste Route (= Autobahn zwischen Grossstaedten). Fuer Berlin-
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Kopenhagen behalten wir Rostock als Via, da OSRM die Faehre nicht
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kennt und sonst die Ostsee umrundet.
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Nach dem OSRM-Fetch direkt Douglas-Peucker-Vereinfachung (~110 m).
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"""
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import json
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import math
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import ssl
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import time
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import urllib.request
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from pathlib import Path
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ROADNET = Path(__file__).resolve().parents[3] / "assets" / "data" / "lg-roadnet.json"
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LOCATIONS = Path(__file__).resolve().parents[3] / "assets" / "data" / "lg-locations.json"
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TOLERANCE_DEG = 0.001
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SSL_CTX = ssl.create_default_context()
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SSL_CTX.check_hostname = False
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SSL_CTX.verify_mode = ssl.CERT_NONE
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OSRM = "https://router.project-osrm.org/route/v1/driving/{coords}?overview=full&geometries=geojson"
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def perpendicular_distance(pt, a, b):
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dx = b[0] - a[0]
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dy = b[1] - a[1]
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if dx == 0 and dy == 0:
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return math.hypot(pt[0] - a[0], pt[1] - a[1])
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t = ((pt[0] - a[0]) * dx + (pt[1] - a[1]) * dy) / (dx * dx + dy * dy)
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t = max(0.0, min(1.0, t))
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return math.hypot(pt[0] - (a[0] + t * dx), pt[1] - (a[1] + t * dy))
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def rdp(points, epsilon):
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if len(points) < 3:
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return list(points)
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max_d = 0.0
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idx = 0
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for i in range(1, len(points) - 1):
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d = perpendicular_distance(points[i], points[0], points[-1])
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if d > max_d:
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max_d, idx = d, i
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if max_d <= epsilon:
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return [points[0], points[-1]]
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left = rdp(points[:idx + 1], epsilon)
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right = rdp(points[idx:], epsilon)
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return left[:-1] + right
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def fetch_osrm(waypoints):
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coords = ";".join(f"{w[1]},{w[0]}" for w in waypoints)
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url = OSRM.format(coords=coords)
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with urllib.request.urlopen(url, timeout=30, context=SSL_CTX) as resp:
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data = json.load(resp)
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route = data["routes"][0]
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poly = [[round(c[1], 5), round(c[0], 5)] for c in route["geometry"]["coordinates"]]
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return poly, route["distance"] / 1000.0
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def main():
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net = json.loads(ROADNET.read_text(encoding="utf-8"))
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locs = {l["id"]: l for l in json.loads(LOCATIONS.read_text(encoding="utf-8"))}
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nodes = {n["id"]: n for n in net["nodes"]}
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# Sonderfall Berlin-Kopenhagen (Faehre) — wird separat behandelt
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FERRY_EDGE = "berlin-kopenhagen"
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for idx, edge in enumerate(net["edges"], 1):
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name = edge["id"]
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from_n = nodes[edge["from"]]
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to_n = nodes[edge["to"]]
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from_l = locs[from_n["locationId"]]
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to_l = locs[to_n["locationId"]]
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start = [from_l["lat"], from_l["lon"]]
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end = [to_l["lat"], to_l["lon"]]
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print(f"[{idx}/{len(net['edges'])}] {name}: ", end="", flush=True)
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try:
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if name == FERRY_EDGE:
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# Berlin -> Rostock (Land), Rostock-Gedser (Faehre direkt),
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# Gedser -> Kopenhagen (Land). Distanz = Land-Summen + 48 km Faehre.
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rostock = [54.09, 12.14]
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gedser = [54.58, 11.93]
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poly1, d1 = fetch_osrm([start, rostock])
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time.sleep(1.1)
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poly3, d3 = fetch_osrm([gedser, end])
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ferry_poly = [rostock, [54.33, 12.03], gedser]
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full = poly1 + ferry_poly[1:] + poly3[1:]
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total = d1 + 48 + d3
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print(f"Faehre-Route {d1:.0f}+48+{d3:.0f}={total:.0f} km", end="")
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else:
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full, total = fetch_osrm([start, end])
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print(f"OSRM-Route {total:.0f} km", end="")
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# Vereinfachen
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simplified = rdp(full, TOLERANCE_DEG)
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edge["polyline"] = simplified
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edge["distanceKmOsrm"] = round(total, 1)
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print(f" -> {len(simplified)} Punkte")
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except Exception as e:
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print(f" FEHLER: {e}")
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continue
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time.sleep(1.1)
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ROADNET.write_text(
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json.dumps(net, ensure_ascii=False, separators=(",", ":")),
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encoding="utf-8",
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)
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size = ROADNET.stat().st_size / 1024
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print(f"\nFertig: {size:.1f} KB")
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if __name__ == "__main__":
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main()
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