def build_graph_and_find_path():
start_pt_dict = json.loads(request.args.get('start_pt'))
end_pt_dict = json.loads(request.args.get('end_pt'))
max_inter_traj_distance = float(request.args.get('max_inter_traj_distance'))
max_dist_to_existing_pt = float(request.args.get('max_dist_to_existing_pt'))
start_pt = Point(start_pt_dict['lat'], start_pt_dict['lng'])
end_pt = Point(end_pt_dict['lat'], end_pt_dict['lng'])
filtered_trajectories = model_datastore.get_filtered_trajectories()
pt_graph = tasks.construct_graph_from_processed_trajectories(filtered_trajectories, \
max_inter_traj_distance)
shortest_path, shortest_dist = tasks.compute_shortest_path_between_points(pt_graph=pt_graph, \
start_pt=start_pt, \
end_pt=end_pt, \
max_dist_to_existing_pt=max_dist_to_existing_pt)
if shortest_path == None:
return jsonify({'path_found': False})
else:
return jsonify({'path_found': True, 'shortest_path': shortest_path})
def get_filtered_trajectories():
filtered = model_datastore.get_filtered_trajectories()
return jsonify({'trajectories':filtered})
