def cityPost():
message = request.get_json(force=True)
print("==============================")
# -- Arguments here --
origin_list = message["inputOriginCities"]
destination_list = message["inputDestinationCity"]
print(origin_list, destination_list)
date_outbound = 'anytime'
num_flights = 3
show_flight_info = False
headers = {
'x-rapidapi-key': get_key(),
'x-rapidapi-host': "skyscanner-skyscanner-flight-search-v1.p.rapidapi.com"
}
print("Processing user-defined parameters...")
start = time.perf_counter()
params, return_trip = get_params(origin_list, destination_list, date_outbound, num_flights, table, show_flight_info)
print("Requesting flight data...")
df_outbound, df_inbound = get_flights(headers, params, table, return_trip)
marker1 = time.perf_counter()
#! Here is the time suckers
print(f" marker 1 from beginning in {marker1 - start:0.4f} seconds")
num = len(df_outbound)
print(f"Number of possible flights to be analyzed: {num}", end="\n\n")
if num != 0:
# get common destinations for outbound and inbound trips
print('OUTBOUND FLIGHTS-------')
print('Date: ', params['date_outbound'])
print('Getting common destinations and calculating prices...')
marker2 = time.perf_counter()
df_common_dest_outbound = get_common_dest(df_outbound)
marker3 = time.perf_counter()
print(f" marker 2-3 in {marker3 - marker2:0.4f} seconds")
print()
print('Saving flights to sorted_common_dest.txt')
save_df_to_json(df_common_dest_outbound, 'Data/sorted_common_dest.json')
print()
# print_top_flights(params, df_common_dest_outbound)
if params['date_inbound'] != None:
print()
print('INBOUND FLIGHTS-------')
print('Date: ', params['date_inbound'])
print('Getting common destinations and calculating prices...')
#df_common_dest_inbound = get_common_dest(df_inbound)
# have to figure out how to combine inbound and outbound
stop = time.perf_counter()
print(f"cityPost from beginning in {stop - start:0.4f} seconds", end="\n\n")
print('Done!')
print("==============================")
# sending to React
response = json.load(open('Data/sorted_common_dest.json', 'r'))
else:
print("Blank json sent to react")
# Uncomment when API is back online
# sending to React
response = {}
# response = json.load(open('Data/sorted_common_dest.json', 'r'))
return response
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 6 19:30:05 2018
@author: Erik
"""
import get_data as gd
import part2b_code as p2b
import part1c_code as p1c
import gradient_calculation as gc
X_test, y_test = gd.read_data_formatted('test_struct.txt')
X_train, y_train = gd.read_data_formatted('train_struct_1000.txt')
params = gd.get_params()
p2b.optimize(params, X_train, y_train, 1000, 'solution_1000_distortion')
params = p2b.get_optimal_params('solution_1000_distortion')
w = gc.w_matrix(params)
t = gc.t_matrix(params)
print("Function value: ")
print(p2b.func_to_minimize(params, X_train, y_train, 1000))
y_pred = p2b.predict(X_test, w, t)
print(p2b.accuracy(y_pred, y_test))