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| author | Stefan Hansson <steha708@edu.liu.se> | 2020-12-16 08:06:10 +0100 |
|---|---|---|
| committer | Newbyte <steha708@liu.se> | 2020-12-16 08:06:10 +0100 |
| commit | a11a7b4cde5834781aa57e7f9c9a8a3a309d6411 (patch) | |
| tree | 3de6e7616a9f2db627ad80870e68c8a77f24709e /store.py | |
| parent | 7d31854216fd893e1805c6dd40517f329ee3e886 (diff) | |
| download | tdde25-a11a7b4cde5834781aa57e7f9c9a8a3a309d6411.tar.gz | |
wip
Diffstat (limited to 'store.py')
| -rw-r--r-- | store.py | 87 |
1 files changed, 58 insertions, 29 deletions
@@ -7,8 +7,7 @@ class Node: self.id = id self.lat = float(lat) self.lng = float(lng) - self.neighbours_bike = [] - self.neighbours_car = [] + self.neighbours = [] self.parent = None self.size = 1 @@ -46,7 +45,7 @@ class Node: parser = None # Have a global reusable parser object -def add_neighbours_bike(nodes): +def add_neighbours(nodes): for way in parser.iter_ways(): if 'highway' not in way['tags']: continue @@ -57,47 +56,69 @@ def add_neighbours_bike(nodes): node1 = road[i] node2 = road[i + 1] -<<<<<<< HEAD - nodes[node1].neighbours.append(nodes[node2]) - nodes[node2].neighbours.append(nodes[node1]) - # These two are neighbours and should be part of the same tree. - nodes[node1].union(nodes[node2]) -======= - if suitable_car(way): - nodes[node1].neighbours_car.append(nodes[node2]) - nodes[node2].neighbours_car.append(nodes[node1]) - if suitable_bike(way): - nodes[node1].neighbours_bike.append(nodes[node2]) - nodes[node2].neighbours_bike.append(nodes[node1]) ->>>>>>> 532c0cb... wip + bike_nodes = nodes['bike'] - return nodes + bike_nodes[node1].neighbours.append(bike_nodes[node2]) + bike_nodes[node2].neighbours.append(bike_nodes[node1]) + # These two are neighbours and should be part of the same tree. + bike_nodes[node1].union(bike_nodes[node2]) -def add_neighbours_car(nodes): - for way in parser.iter_ways(): - if 'highway' not in way['tags']: - continue + if suitable_car(way): + car_nodes = nodes['car'] + + car_nodes[node1].neighbours.append(car_nodes[node2]) + car_nodes[node2].neighbours.append(car_nodes[node1]) + + # These two are neighbours and should be part of the same tree. + car_nodes[node1].union(car_nodes[node2]) + + return nodes def extract_osm_nodes(f_name): global parser parser = get_default_parser(f_name) - nodes = dict() - grid = defaultdict() + nodes = { + 'bike': dict(), + 'car': dict() + } for node in parser.iter_nodes(): - new_node = Node(node['id'], node['lat'], node['lon']) - nodes[node['id']] = new_node + # FIXME: this can probably be solved better + nodes['bike'][node['id']] = Node(node['id'], node['lat'], node['lon']) + nodes['car'][node['id']] = Node(node['id'], node['lat'], node['lon']) add_neighbours(nodes) + # FIXME: this can probably be solved better # Remove nodes without neighbours - for node_id, node in nodes.copy().items(): - if not node.neighbours_car or not node.neighbours_bike: - del nodes[node_id] + for node_id, node in nodes['bike'].copy().items(): + if not node.neighbours: + del nodes['bike'][node_id] + for node_id, node in nodes['car'].copy().items(): + if not node.neighbours: + del nodes['car'][node_id] + + nodes['bike'], unconnected_bike = make_forest(nodes['bike']) + nodes['car'], unconnected_car = make_forest(nodes['car']) + + unconnected_nodes = { + 'bike': unconnected_bike, + 'car': unconnected_car + } + + grids = { + 'bike': make_grid(nodes['bike']), + 'car': make_grid(nodes['car']) + } + + return nodes, grids, unconnected_nodes + + +def make_forest(nodes): # Construct a forest of disjoint trees. # The forest is a { root: tree }-dict. If we construct a relation where # two nodes relate to each other if they are a part of the same tree, @@ -106,6 +127,7 @@ def extract_osm_nodes(f_name): # becomes the root of each node since it will be the same for all nodes # in the same tree due our use of union-find. forest = defaultdict(dict) + for node_id, node in nodes.items(): forest[node.find_root().id][node_id] = node @@ -129,6 +151,13 @@ def extract_osm_nodes(f_name): unconnected_nodes.append(node) nodes = best_tree + + return nodes, unconnected_nodes + + +def make_grid(nodes): + grid = defaultdict() + # create a "grid" by grouping nearby nodes. for node in nodes.copy().values(): @@ -141,7 +170,7 @@ def extract_osm_nodes(f_name): else: grid[key] = [node] - return nodes, grid, unconnected_nodes + return grid def select_nodes_in_rectangle(nodes, min_lat, max_lat, min_long, max_long): |
