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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 | |
| parent | 7d31854216fd893e1805c6dd40517f329ee3e886 (diff) | |
| download | tdde25-a11a7b4cde5834781aa57e7f9c9a8a3a309d6411.tar.gz | |
wip
| -rw-r--r-- | algorithms.py | 11 | ||||
| -rw-r--r-- | server.py | 42 | ||||
| -rw-r--r-- | store.py | 87 | ||||
| -rw-r--r-- | templates/index.js | 2 |
4 files changed, 78 insertions, 64 deletions
diff --git a/algorithms.py b/algorithms.py index 855c69e..3bd9f5e 100644 --- a/algorithms.py +++ b/algorithms.py @@ -73,25 +73,18 @@ def get_closest_node(nodes, source_node): Searches through all nodes in a specified grid and return node closes to source node. """ -def get_closest_node_id(nodes, source_node, transport_mode): - """ Search through all nodes and return the id of the node - that is closest to 'source_node'. """ min_node = None min_value = None for node in nodes: + print(source_node) print(node) length = length_haversine(source_node, node) - relevant_neighbours = get_relevant_neighbours(node, transport_mode) - - if (min_node is None or length < min_value) and relevant_neighbours: + if (min_node is None or length < min_value): min_node = node min_value = length - print("min_node: ") - print(min_node) - return min_node @@ -4,17 +4,17 @@ import algorithms import store from lib import run_server, get, post, read_html -grid = None +grids = None nodes = None unconnected_nodes = None @get('/') def index(): global nodes - global grid + global grids global unconnected_nodes - nodes, grid, unconnected_nodes = store.extract_osm_nodes("university.osm") + nodes, grids, unconnected_nodes = store.extract_osm_nodes("university.osm") return read_html('templates/index.html') @@ -22,9 +22,10 @@ def index(): @get('/show-area') def show_area(): rect = dict() + # FIXME: Don't hardcode bikes maybe? Maybe just remove this altogether for (k, node) in enumerate( - store.select_nodes_in_rectangle(nodes, 58.3984, 58.3990, 15.5733, - 15.576)): + store.select_nodes_in_rectangle(nodes['bike'], 58.3984, 58.3990, + 15.5733, 15.576)): rect[node.id] = node.coord_tuple() return json.dumps(rect) @@ -41,33 +42,24 @@ def favicon(): @get('/show-unconnected-nodes') def show_unconnected_nodes(): print(f"Showing {len(unconnected_nodes)} unconnected nodes") - return json.dumps({node.id: node.coord_tuple() for node in unconnected_nodes}) + return json.dumps({ + node.id: node.coord_tuple() for node in unconnected_nodes['bike'] + }) @post('/shortest-path') def shortest_path(body): body = json.loads(body) -<<<<<<< HEAD - source_id = algorithms.grid_search(grid, - store.Node(-1, body['lat1'], - body['lng1'])) - target_id = algorithms.grid_search(grid, - store.Node(-1, body['lat2'], - body['lng2'])) -======= transport_mode = body['transport_mode'] - source_id = algorithms.get_closest_node_id(nodes, - store.Node(-1, body['lat1'], - body['lng1']), - transport_mode) - target_id = algorithms.get_closest_node_id(nodes, - store.Node(-1, body['lat2'], - body['lng2']), - transport_mode) ->>>>>>> 532c0cb... wip - - path = algorithms.find_shortest_path(nodes, source_id, target_id, transport_mode) + source_id = algorithms.get_closest_node(grids[transport_mode], + store.Node(-1, body['lat1'], + body['lng1'])) + target_id = algorithms.get_closest_node(grids[transport_mode], + store.Node(-1, body['lat2'], + body['lng2'])) + + path = algorithms.find_shortest_path(nodes[transport_mode], source_id, target_id) response = {"path": [(nodes[node].lat, nodes[node].lng) for node in path]} return json.dumps(response) @@ -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): diff --git a/templates/index.js b/templates/index.js index 42f8398..1422fe6 100644 --- a/templates/index.js +++ b/templates/index.js @@ -69,4 +69,4 @@ async function showUnconnectedMarkers() { var marker = L.marker(res[key]).addTo(map) } } -showUnconnectedMarkers() +//showUnconnectedMarkers() |
