import networkx as nx
import numpy as np
from lxml import etree
from collections import defaultdict
[docs]def export_to_nx(file):
troncons = defaultdict(dict)
junctions = dict(
caf=defaultdict(dict), rep=defaultdict(dict), gir=defaultdict(dict)
)
parser = etree.XMLParser(remove_comments=True)
contents = etree.parse(file, parser=parser)
root = contents.getroot()
tron = root.xpath("/ROOT_SYMUBRUIT/RESEAUX/RESEAU/TRONCONS")[0]
for tr_elem in tron.iterchildren():
data = dict(tr_elem.attrib)
ind = data.pop("id")
coords_amont = np.fromstring(data["extremite_amont"], sep=" ")
coords_aval = np.fromstring(data["extremite_aval"], sep=" ")
points = [coords_amont]
reserved_lane = []
for tr_child in tr_elem.iterchildren():
if tr_child.tag == "POINTS_INTERNES":
for internal_points in tr_child.iterchildren():
points.append(
np.fromstring(internal_points.attrib["coordonnees"], sep=" ")
)
if tr_child.tag == "VOIES_INTERDITES":
for lane_elem in tr_child.iterchildren():
if lane_elem.attrib["id_typesvehicules"] == "VL":
reserved_lane.append(lane_elem.attrib["num_voie"])
points.append(coords_aval)
length = np.sum(
[np.linalg.norm(points[i + 1] - points) for i in range(len(points) - 1)]
)
data["length"] = length
if len(reserved_lane) < int(tr_elem.attrib.get("nb_voie", 1)):
troncons[ind] = data
else:
print("Skipping link", ind, "(Public transportation)")
caf = root.xpath("/ROOT_SYMUBRUIT/RESEAUX/RESEAU/CONNEXIONS/CARREFOURSAFEUX")[0]
rep = root.xpath("/ROOT_SYMUBRUIT/RESEAUX/RESEAU/CONNEXIONS/REPARTITEURS")[0]
gir = root.xpath("/ROOT_SYMUBRUIT/RESEAUX/RESEAU/CONNEXIONS/GIRATOIRES")[0]
for elem, data in zip([caf, rep], [junctions["caf"], junctions["rep"]]):
for caf_elem in elem.iterchildren():
mov = caf_elem.xpath("MOUVEMENTS_AUTORISES")
data[caf_elem.attrib["id"]] = defaultdict(list)
if mov:
for auth_elem in mov[0].iterchildren():
tr_am = auth_elem.attrib["id_troncon_amont"]
if tr_am in troncons:
out = auth_elem.xpath("MOUVEMENT_SORTIES")[0]
for out_elem in out.iterchildren():
tr_av = out_elem.attrib["id_troncon_aval"]
if tr_av in troncons:
data[caf_elem.attrib["id"]][tr_am].append(tr_av)
data = junctions["gir"]
for elem in gir.iterchildren():
data[elem.attrib["id"]] = list()
connected_tr = elem.attrib["troncons"].split(" ")
for tr in connected_tr:
if tr in troncons:
data[elem.attrib["id"]].append(tr)
G = nx.DiGraph()
for tr, data in troncons.items():
coords_amont = np.fromstring(data["extremite_amont"], sep=" ").tolist()
coords_aval = np.fromstring(data["extremite_aval"], sep=" ").tolist()
G.add_node("NAV_" + tr, coords=coords_aval, id_elt=data["id_eltaval"])
G.add_node("NAM_" + tr, coords=coords_amont, id_elt=data["id_eltamont"])
G.add_edge("NAM_" + tr, "NAV_" + tr, length=data["length"], id_elt=tr)
for data in [junctions["rep"], junctions["caf"]]:
for ind, connect in data.items():
for tr_amont, tr_avals in connect.items():
[
G.add_edge("NAV_" + tr_amont, "NAM_" + tr_av, length=0)
for tr_av in tr_avals
]
for ind, tr_list in junctions["gir"].items():
avals = list()
amonts = list()
for tr_i in tr_list:
if troncons[tr_i]["id_eltamont"] == ind:
amonts.append(tr_i)
elif troncons[tr_i]["id_eltaval"] == ind:
avals.append(tr_i)
for tr_av in avals:
for tr_am in amonts:
G.add_edge("NAV_" + tr_av, "NAM_" + tr_am, length=0)
return G
