def route_cnx(file_name,
source_id=None,
target_id=None,
out_file=None,
visualize=False,
benchmark=None):
from limic.util import start, end, load_pickled, save_path, save_pickled
start("Loading from", file_name)
g = load_pickled(file_name)
end()
start("Routing using condensed NX")
if benchmark and out_file:
routes = []
for i in range(int(benchmark)):
path = astar_cnx(g, None, None, routes)
elif benchmark:
for source, target in load_pickled(benchmark):
path = astar_cnx(g, (source, ), (target, ))
else:
path = astar_cnx(g, source_id, target_id)
end()
if benchmark and out_file:
start("Saving routes to", out_file)
save_pickled(out_file, routes)
end()
elif not benchmark:
start("Saving path to", out_file)
save_path(path, out_file, visualize)
end()
def length_route_nx(file_name, source_id=None, target_id=None, benchmark=None):
from limic.util import start, end, load_pickled, status
start("Loading from", file_name)
g = load_pickled(file_name)
end()
start("Routing using NX")
if benchmark:
for source, target in load_pickled(benchmark):
length = shortest_length_nx(g, (source, ), (target, ))
else:
length = shortest_length_nx(g, source_id, target_id)
end('')
status(length)
def route_direct(file_name,
source_id=None,
target_id=None,
out_file=None,
overpass_url=None,
disk_cache=False,
visualize=False):
from limic.util import start, end, status, file_size, load_pickled, save_pickled, save_path, options, replace
if disk_cache:
start("Using disk cache", file_name)
set_option('disk_cache', file_name)
from limic.overpass import region, set_server
if disk_cache:
status("OK")
from os.path import exists
if not disk_cache and exists(file_name):
start("Loading", file_name)
region.backend._cache = load_pickled(file_name)
end('')
file_size(file_name)
len_cache = len(region.backend._cache)
start("Routing using direct algorithm")
set_server(overpass_url)
path = astar_direct(source_id, target_id)
end()
start("Saving path to", out_file)
save_path(path, out_file, visualize)
end()
if not disk_cache and len_cache != len(region.backend._cache):
file_name_tmp = file_name + ".tmp"
start("Saving to", file_name, "via", file_name_tmp)
save_pickled(file_name_tmp, region.backend._cache)
replace(file_name_tmp, file_name)
end('')
file_size(file_name)
def convert_cache_dbm(file_name_in, file_name_out):
from limic.util import start, end, file_size, status, load_pickled, check_overwrite
from dbm.gnu import open as dopen
from os.path import exists
from pickle import dumps
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading from", file_name_in)
d = load_pickled(file_name_in)
end('')
file_size(file_name_in)
start("Opening database", file_name_out)
if not exists(file_name_out):
db = dopen(file_name_out, "c")
db.close()
db = dopen(file_name_out, "c")
end('')
file_size(file_name_out)
start("Computing set of entries to save")
for key in db.keys():
del d[key.decode("utf-8")]
status(len(d))
start("Saving entries to", file_name_out)
for key, val in d.items():
db[key.encode("utf-8")] = dumps(val)
db.close()
end('')
file_size(file_name_out)
def convert_nx_npz(file_name_in,
file_name_out,
indirect=False,
rescale=False,
penalize=20):
from limic.util import start, end, file_size, load_pickled, save_npz, check_overwrite
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading graph from", file_name_in)
g = load_pickled(file_name_in)
end('')
file_size(file_name_in)
if indirect:
start("Transforming to GT format")
i = transform_nx_gt(g, rescale)
end()
start("Transforming to NPZ format")
h = transform_gt_npz(i, penalize)
end()
else:
start("Transforming to NPZ format")
h = transform_nx_npz(g, rescale)
end()
start("Saving to", file_name_out)
save_npz(file_name_out, h)
end('')
file_size(file_name_out)
def prune_nx(file_name_in, file_name_out, polygon, overpass_url):
from limic.util import start, end, file_size, status, save_pickled, load_pickled, check_overwrite
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading from", file_name_in)
g = load_pickled(file_name_in)
end('')
file_size(file_name_in)
polygon = list(map(float, polygon))
polygon = list(zip(polygon[::2], polygon[1::2]))
if not overpass_url:
from limic.util import kdtree, nodes_in_geometry
start("Building kd-tree from nodes")
tree = kdtree(g.nodes(), get_latlon=lambda x: (x[1], x[2]))
end()
start("Querying tree for nodes in polygon")
nodes = nodes_in_geometry(tree, polygon)
else:
from limic.overpass import nodes_in_geometry, set_server
start("Query server for nodes in polygon")
set_server(overpass_url)
nodes = nodes_in_geometry(polygon)
end('')
status(len(nodes))
start("Pruning graph")
h = prune_ids_nx(g, nodes)
end()
start("Saving to", file_name_out)
save_pickled(file_name_out, h)
end('')
file_size(file_name_out)
def route_nx(file_name,
source_id=None,
target_id=None,
out_file=None,
visualize=False,
benchmark=None):
from limic.util import start, end, load_pickled, save_path
start("Loading from", file_name)
g = load_pickled(file_name)
end()
start("Routing using NX")
if benchmark:
for source, target in load_pickled(benchmark):
path = astar_nx(g, (source, ), (target, ))
else:
path = astar_nx(g, source_id, target_id)
end()
if not benchmark:
start("Saving path to", out_file)
save_path(path, out_file, visualize)
end()
def length_graph_nx(file_name):
from limic.util import start, end, status, load_pickled
from limic.convert import transform_nx_gt
start("Loading graph from", file_name)
g = load_pickled(file_name)
end()
start("Transforming graph to rescaled GT format")
h = transform_nx_gt(g, rescale=True)
end()
start("Computing length using rescaled GT")
length = compute_length_gt(h)
end('')
status(length)
def convert_nx_gt(file_name_in, file_name_out, rescale=False):
from limic.util import start, end, file_size, load_pickled, save_gt, check_overwrite
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading graph from", file_name_in)
g = load_pickled(file_name_in)
end('')
file_size(file_name_in)
start("Initialzing id mapping and neighbours map")
h = transform_nx_gt(g, rescale)
end()
start("Saving to", file_name_out)
save_gt(file_name_out, h)
end('')
file_size(file_name_out)
def render_nx(file_name_in,
file_name_out,
markers=False,
lines=False,
host="localhost",
port=5000,
prefix=""):
from limic.util import start, end, load_pickled, check_overwrite
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading NX graph", file_name_in)
g = load_pickled(file_name_in)
nodes = list(g.nodes())
edges = list(g.edges.data('weight'))
end()
return render(g, nodes, edges, file_name_out, markers, lines, host, port,
prefix)
def merge_cache(file_names, file_name_out):
from limic.util import start, end, file_size, status, load_pickled, save_pickled, check_overwrites
if not check_overwrites(file_names, file_name_out):
return
g = {}
for file_name_in in file_names:
start("Loading cache from", file_name_in)
h = load_pickled(file_name_in)
end('')
file_size(file_name_in)
start("Adding", len(h), "entries")
g.update(h)
end('')
status(len(g))
start("Saving merged cache to", file_name_out)
save_pickled(file_name_out, g)
end('')
file_size(file_name_out)
def extract_osm_post(file_name_in,
file_name_out,
around=1000,
eps=0.01,
safe_dist=100,
penalize=20):
from limic.util import start, end, file_size, load_pickled, check_overwrite
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading filtered OSM data from", file_name_in)
lim = load_pickled(file_name_in)
end('')
file_size(file_name_in)
osm_post(lim,
file_name_out,
around=1000,
eps=0.01,
safe_dist=100,
penalize=20)
def render_cnx(file_name_in,
file_name_out,
components=[],
markers=False,
lines=False,
host="localhost",
port=5000,
prefix=""):
from limic.util import start, end, load_pickled, check_overwrite
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading CNX graph", file_name_in)
cs, _, _ = load_pickled(file_name_in)
end()
for i in components if components else range(len(cs)):
nodes = list(cs[i].nodes())
edges = list(cs[i].edges.data('weight'))
file_out = file_name_out.split(".html")[0] + "." + str(i) + ".html"
render(cs[i], nodes, edges, file_out, markers, lines, host, port,
prefix)
def merge_nx(file_names, file_name_out):
from limic.util import start, end, file_size, status, load_pickled, save_pickled, check_overwrites
from networkx import Graph
if not check_overwrites(file_names, file_name_out):
return
g = Graph()
for file_name_in in file_names:
start("Loading graph from", file_name_in)
h = load_pickled(file_name_in)
end('')
file_size(file_name_in)
start("Adding", h.number_of_edges(), "edges")
for from_node, to_node, data in h.edges(data=True):
g.add_edge(from_node, to_node, **data)
end('')
status(g.number_of_edges())
start("Saving merged graph to", file_name_out)
save_pickled(file_name_out, g)
end('')
file_size(file_name_out)
def select_nx(file_name_in,file_name_out,polygon,overpass_url):
from limic.util import start, end, file_size, status, save_pickled, load_pickled, check_overwrite
from limic.overpass import nodes_in_geometry, set_server
if not check_overwrite(file_name_in,file_name_out):
return
start("Loading from",file_name_in)
g = load_pickled(file_name_in)
end('')
file_size(file_name_in)
start("Query server for nodes in polygon")
set_server(overpass_url)
nodes = nodes_in_geometry(zip(polygon[::2], polygon[1::2]))
end('')
status(len(nodes))
start("Selecting area from graph")
h = select_ids_nx(g,nodes)
end()
start("Saving to",file_name_out)
save_pickled(file_name_out,h)
end('')
file_size(file_name_out)
def condense(file_name_in, file_name_out, lengths=False, paths=False):
from limic.util import start, end, file_size, status, save_pickled, load_pickled, check_overwrite
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading from", file_name_in)
g = load_pickled(file_name_in)
end('')
file_size(file_name_in)
start("Condensing edges")
h = cnx(g)
end()
if lengths:
start("Computing lengths")
h.compute_lengths()
end()
if paths:
start("Computing paths")
h.compute_paths()
end()
start("Saving to", file_name_out)
save_pickled(file_name_out, h)
end('')
file_size(file_name_out)
def fill(overpass_url,
file_name=None,
area=None,
around=1000,
eps=0.01,
safe_dist=100,
penalize=20,
max_workers=None):
from limic.overpass import set_server, pylon, region, get_towers_by_area
from limic.util import start, end, file_size, status, load_pickled, save_pickled, options, replace, options
from networkx import Graph, relabel_nodes
from os import cpu_count
from os.path import exists
from concurrent.futures import ThreadPoolExecutor, wait
from signal import signal, SIGINT
if not area and not file_name:
if options.parser:
options.parser.error("specify at least one of --area or CACHE")
else:
status("ERROR: specify at least area or cache name!")
from sys import exit
exit(-1)
if not area:
area = file_name.split(".")[1]
if not file_name:
file_name = "cache." + area
if not max_workers:
max_workers = cpu_count() * 4
start("Number of workers")
status(max_workers)
if exists(file_name):
start("Loading", file_name)
region.backend._cache = load_pickled(file_name)
end('')
file_size(file_name)
len_cache = len(region.backend._cache)
start("Querying overpass for", area)
set_server(overpass_url)
towers = get_towers_by_area(area)
end()
fs = []
executor = ThreadPoolExecutor(max_workers=max_workers)
interrupt = 0
def shutdown(sig, frame):
nonlocal interrupt
interrupt += 1
print("Shutting down ...")
for f in fs:
f.cancel()
print("Cancelled all futures ...")
running = len(fs)
total = running
while running:
print("Waiting for", running, "processes to shut down ...")
wait(fs, timeout=60)
running = sum(0 if f.done() else 1 for f in fs)
if len_cache != len(region.backend._cache):
file_name_tmp = file_name + "." + str(interrupt)
start("Emergency saving to", file_name_tmp)
save_pickled(file_name_tmp, region.backend._cache)
end('')
file_size(file_name_tmp)
signal(SIGINT, shutdown)
options.failed = True
while options.failed:
options.failed = False
for tower in towers:
fs.append(
executor.submit(cache_tower, tower, around, eps, safe_dist,
penalize))
running = len(fs)
total = running
while running:
print("Waiting for", running, "out of", total, "processes ...")
wait(fs, timeout=60)
running = sum(0 if f.done() else 1 for f in fs)
if len_cache != len(region.backend._cache):
file_name_tmp = file_name + ".tmp"
start("Saving to", file_name, "via", file_name_tmp)
save_pickled(file_name_tmp, region.backend._cache)
replace(file_name_tmp, file_name)
end('')
file_size(file_name)
from limic.util import start, end, file_size, status, load_pickled, save_pickled
from sys import argv
if __name__ == "__main__":
file_name_in = argv[1]
file_name_out = argv[2]
start("Loading graph from", file_name_in)
g = load_pickled(file_name_in)
end('')
status(len(g.edges()), end=' ')
file_size(file_name_in)
start("Cleaning up graph")
for u, v, d in g.edges(data=True):
d['type'] = -1 if d['air'] else 0
del d['air']
end()
start("Saving graph to", file_name_out)
save_pickled(file_name_out, g)
end('')
file_size(file_name_out)
def extract_cache(file_name_in,
file_name_out,
overpass_url,
area=None,
around=1000,
eps=0.01,
safe_dist=100,
penalize=20):
#from limic.overpass import distance, find_all_neighbours, is_safe, set_server, pylon, region, get_towers_by_area
#from limic.util import start, end, file_size, status, load_pickled, save_pickled, replace, check_overwrite
from networkx import Graph
if not check_overwrite(file_name_in, file_name_out):
return
start("Loading", file_name_in)
region.backend._cache = load_pickled(file_name_in)
len_cache = len(region.backend._cache)
end('')
file_size(file_name_in)
if not area:
area = file_name_in.split(".")[1]
start("Querying overpass for", area)
set_server(overpass_url)
towers = get_towers_by_area(area)
end()
start("Building safe nodes")
g = Graph()
for tower in towers:
if is_safe(tower, safe_dist):
g.add_node(tower)
# else:
# if verbosity >= 2: print("NOT safe!")
end('')
total = len(g.nodes())
status(total)
start("Building edges")
build_edges(g, find_all_neighbours, around, eps, safe_dist, penalize)
end('')
status(len(g.edges()))
if len_cache != len(region.backend._cache):
file_name_tmp = file_name_in + ".tmp"
start("Saving to", file_name_in, "via", file_name_tmp)
save_pickled(file_name_tmp, region.backend._cache)
replace(file_name_tmp, file_name_in)
end('')
file_size(file_name_in)
from limic.util import start, end, status, file_size, save_pickled
from networkx import relabel_nodes
start("Prune redundant edges (incomplete)")
prune_incomplete(g)
end('')
status(len(g.edges()))
start("Prune redundant edges (complete)")
prune_complete(g)
end('')
status(len(g.edges()))
start("Cleaning up graph")
relabel = dict(
map(
lambda tower: (tower,
(tower.id, tower.latlon[0], tower.latlon[1])),
g.nodes()))
relabel_nodes(g, relabel, copy=False)
for u, v, d in g.edges(data=True):
d['type'] = -1 if d['type'] else 0
end()
start("Saving graph to", file_name_out)
save_pickled(file_name_out, g)
end('')
file_size(file_name_out)