227 lines
6.7 KiB
Python
227 lines
6.7 KiB
Python
import osmnx as ox
|
|
import json
|
|
import os
|
|
import networkx as nx
|
|
from shapely.ops import unary_union
|
|
from shapely.geometry import Polygon, MultiPolygon
|
|
import re
|
|
|
|
# ==========================================
|
|
# 1. Configuration
|
|
# ==========================================
|
|
PLACE_NAME = "Wisconsin State Capitol, Madison, USA"
|
|
DIST = 3000
|
|
|
|
# Road width settings (meters)
|
|
LANE_WIDTH_DEFAULT = 3.5
|
|
DEFAULT_WIDTHS = {
|
|
"motorway": 12,
|
|
"trunk": 11,
|
|
"primary": 10,
|
|
"secondary": 9,
|
|
"tertiary": 8,
|
|
"residential": 6,
|
|
"service": 4,
|
|
"unclassified": 5,
|
|
"cycleway": 2,
|
|
"footway": 1.5,
|
|
"path": 1.5,
|
|
}
|
|
|
|
|
|
# ==========================================
|
|
# 2. Helpers
|
|
# ==========================================
|
|
def get_height(row):
|
|
"""Estimates building height."""
|
|
h = 8.0
|
|
if "height" in row and str(row["height"]).lower() != "nan":
|
|
try:
|
|
clean = "".join(
|
|
filter(lambda x: x.isdigit() or x == ".", str(row["height"]))
|
|
)
|
|
h = float(clean)
|
|
except:
|
|
pass
|
|
elif "building:levels" in row and str(row["building:levels"]).lower() != "nan":
|
|
try:
|
|
clean = "".join(
|
|
filter(lambda x: x.isdigit() or x == ".", str(row["building:levels"]))
|
|
)
|
|
h = float(clean) * 3.5
|
|
except:
|
|
pass
|
|
return round(h, 1)
|
|
|
|
|
|
def estimate_road_width(row):
|
|
"""Estimates width with US-unit safety checks."""
|
|
# 1. Explicit width tag
|
|
for key in ["width", "width:carriageway", "est_width"]:
|
|
if key in row and str(row[key]) != "nan":
|
|
val_str = str(row[key]).lower()
|
|
try:
|
|
nums = re.findall(r"[-+]?\d*\.\d+|\d+", val_str)
|
|
if nums:
|
|
val = float(nums[0])
|
|
if "'" in val_str or "ft" in val_str or "feet" in val_str:
|
|
val *= 0.3048
|
|
elif val > 50: # Sanity check for feet without units
|
|
val *= 0.3048
|
|
return val
|
|
except:
|
|
pass
|
|
|
|
# 2. Lanes
|
|
if "lanes" in row and str(row["lanes"]) != "nan":
|
|
try:
|
|
clean = re.findall(r"\d+", str(row["lanes"]))
|
|
if clean:
|
|
lanes = int(clean[0])
|
|
lanes = max(1, min(lanes, 6))
|
|
return lanes * LANE_WIDTH_DEFAULT
|
|
except:
|
|
pass
|
|
|
|
# 3. Default based on type
|
|
highway = row.get("highway", "residential")
|
|
if isinstance(highway, list):
|
|
highway = highway[0]
|
|
return DEFAULT_WIDTHS.get(highway, 4.0)
|
|
|
|
|
|
def parse_geometry(geom, center_x, center_y):
|
|
"""Parses geometry into {outer, holes} structure."""
|
|
if geom.is_empty:
|
|
return []
|
|
|
|
polys = []
|
|
if geom.geom_type == "Polygon":
|
|
source_geoms = [geom]
|
|
elif geom.geom_type == "MultiPolygon":
|
|
source_geoms = geom.geoms
|
|
else:
|
|
return []
|
|
|
|
for poly in source_geoms:
|
|
outer = [
|
|
[round(x - center_x, 2), round(y - center_y, 2)]
|
|
for x, y in poly.exterior.coords
|
|
]
|
|
holes = []
|
|
for interior in poly.interiors:
|
|
hole_coords = [
|
|
[round(x - center_x, 2), round(y - center_y, 2)]
|
|
for x, y in interior.coords
|
|
]
|
|
holes.append(hole_coords)
|
|
polys.append({"outer": outer, "holes": holes})
|
|
|
|
return polys
|
|
|
|
|
|
def parse_line_points(geom, center_x, center_y):
|
|
"""Simple parser for LineStrings (Routing Graph)."""
|
|
if geom.geom_type == "LineString":
|
|
return [
|
|
[round(x - center_x, 2), round(y - center_y, 2)] for x, y in geom.coords
|
|
]
|
|
return []
|
|
|
|
|
|
# ==========================================
|
|
# 3. Execution
|
|
# ==========================================
|
|
print(f"1. Downloading Data for: {PLACE_NAME}...")
|
|
|
|
tags_visual = {
|
|
"building": True,
|
|
"natural": ["water", "bay"],
|
|
"leisure": ["park", "garden"],
|
|
"landuse": ["grass", "forest", "park"],
|
|
}
|
|
gdf_visual = ox.features.features_from_address(PLACE_NAME, tags=tags_visual, dist=DIST)
|
|
|
|
print(" Downloading Road Graph...")
|
|
G = ox.graph.graph_from_address(PLACE_NAME, dist=DIST, network_type="drive")
|
|
gdf_nodes, gdf_edges = ox.graph_to_gdfs(G)
|
|
|
|
print("2. Projecting Coordinates...")
|
|
utm_crs = gdf_visual.estimate_utm_crs()
|
|
gdf_visual = gdf_visual.to_crs(utm_crs)
|
|
gdf_edges = gdf_edges.to_crs(utm_crs)
|
|
gdf_nodes = gdf_nodes.to_crs(utm_crs)
|
|
|
|
center_x = gdf_visual.geometry.centroid.x.mean()
|
|
center_y = gdf_visual.geometry.centroid.y.mean()
|
|
|
|
output_visual = {"buildings": [], "water": [], "parks": [], "roads": []}
|
|
output_routing = {"nodes": {}, "edges": []}
|
|
|
|
print("3. Processing Visual Layers...")
|
|
for idx, row in gdf_visual.iterrows():
|
|
polygons = parse_geometry(row.geometry, center_x, center_y)
|
|
|
|
for poly_data in polygons:
|
|
# 1. Buildings
|
|
if "building" in row and str(row["building"]) != "nan":
|
|
output_visual["buildings"].append(
|
|
{"shape": poly_data, "height": get_height(row)}
|
|
)
|
|
|
|
# 2. Water (Explicit check for NaN)
|
|
elif ("natural" in row and str(row["natural"]) != "nan") or (
|
|
"water" in row and str(row["water"]) != "nan"
|
|
):
|
|
output_visual["water"].append({"shape": poly_data})
|
|
|
|
# 3. Parks (Fallback)
|
|
else:
|
|
output_visual["parks"].append({"shape": poly_data})
|
|
|
|
print(" Buffering roads...")
|
|
road_polys = []
|
|
for idx, row in gdf_edges.iterrows():
|
|
width = estimate_road_width(row)
|
|
buffered = row.geometry.buffer(width / 2, cap_style=2, join_style=2)
|
|
road_polys.append(buffered)
|
|
|
|
if road_polys:
|
|
print(" Merging road polygons...")
|
|
merged_roads = unary_union(road_polys)
|
|
road_shapes = parse_geometry(merged_roads, center_x, center_y)
|
|
for shape in road_shapes:
|
|
output_visual["roads"].append({"shape": shape})
|
|
|
|
print("4. Processing Routing Graph...")
|
|
for node_id, row in gdf_nodes.iterrows():
|
|
output_routing["nodes"][int(node_id)] = {
|
|
"x": round(row.geometry.x - center_x, 2),
|
|
"y": round(row.geometry.y - center_y, 2),
|
|
}
|
|
|
|
for u, v, k in G.edges(keys=True):
|
|
try:
|
|
row = gdf_edges.loc[(u, v, k)]
|
|
if isinstance(row, (type(gdf_edges),)):
|
|
row = row.iloc[0]
|
|
except KeyError:
|
|
continue
|
|
|
|
output_routing["edges"].append(
|
|
{
|
|
"u": int(u),
|
|
"v": int(v),
|
|
"oneway": bool(row.get("oneway", False)),
|
|
"points": parse_line_points(row.geometry, center_x, center_y),
|
|
}
|
|
)
|
|
|
|
out_dir = os.path.join(os.path.dirname(__file__), "../public")
|
|
os.makedirs(out_dir, exist_ok=True)
|
|
with open(os.path.join(out_dir, "city_data.json"), "w") as f:
|
|
json.dump(output_visual, f)
|
|
with open(os.path.join(out_dir, "routing_graph.json"), "w") as f:
|
|
json.dump(output_routing, f)
|
|
print(f"Done! Exported to {out_dir}")
|