def get_route():
"""
:return:
"""
global planing
json_data = request.get_data()
dic = json.loads(json_data)
print('route_plan:', dic)
origin = gcj02_to_wgs84(np.array([[dic['lon_origin'], dic['lat_origin']]]))[0]
destination = gcj02_to_wgs84(np.array([[dic['lon_destination'], dic['lat_destination']]]))[0]
print(origin, destination)
route, costs = route_plan(origin, destination)
try:
routes = list()
for i in range(3):
if len(route[i]) == 0 or costs[i] is None:
return jsonify([])
route_dic = dict()
route_dic['route'] = list()
for point in route[i]:
gcj_point = wgs_gcj(point)
point_dic = dict()
point_dic['lng'] = gcj_point[0]
point_dic['lat'] = gcj_point[1]
route_dic['route'].append(point_dic)
route_dic['time'] = costs[i][1]
route_dic['distance'] = costs[i][0]
routes.append(route_dic)
# print(routes)
return jsonify(routes)
except TypeError or KeyError:
return jsonify([])
def get_billboards(info):
"""
:param info:
:return:
"""
geo_list = area_list(int(info['area']))
time_type = int(info['targetTime'])
day_type = int(info['targetDay'])
data_df = pd.read_csv('Billboard.csv')
indexs = []
for i in range(len(data_df)):
if data_df.iloc[i, 0][:-2] in geo_list:
indexs.append(i)
data_df = data_df.iloc[indexs, :]
# using the weights to cal the final flow
if time_type == 1:
data_df['flow'] *= data_df['day']
elif time_type == 2:
data_df['flow'] *= data_df['night']
if day_type == 1:
data_df['flow'] *= data_df['weekday']
elif day_type == 2:
data_df['flow'] *= data_df['weekend']
data_df = data_df.sort_values(by='flow', ascending=False).iloc[[x for x in range(10)], :]
data_arr = data_df.sort_values(by='arrival', ascending=False).iloc[[x for x in range(5)], [0, 1, 2]].values
result = list()
for i in range(5):
board_dict = dict()
position = wgs_gcj(decode_exactly(data_arr[i, 0])[0:2])
board_dict['boardLon'] = position[1]
board_dict['boardLat'] = position[0]
board_dict['boardFlow'] = int(data_arr[i, 1])
board_dict['boradRate'] = round(data_arr[i, 2], 3)
result.append(board_dict)
return result
"""
"""