Delete tools/flights/test.py

tools/flights/test.py

@@ -1,35 +0,0 @@
-# import os
-# from tools.flights.apis import Flights
-# import re
-# import sys
-# import os
-
-# flight = Flights('/home/xj/toolAugEnv/code/toolConstraint/database/flights/clean_Flights_2022.csv')
-# data = flight.run('Austin', 'Seattle', '2022-03-01')
-# # print(len(data))
-# print(data)
-
-
-from tools.flights.apis import Flights
-import pandas as pd
-import sys
-import os
-# results = self.data[self.data["OriginCityName"] == origin]
-# results = results[results["DestCityName"] == destination]
-sys.path.append(os.path.abspath(os.path.join(os.getcwd(), "..")))
-os.chdir(os.path.dirname(os.path.abspath(__file__)))
-unique_cities = list(Flights(path="..//home/user/app/database/flights/clean_Flights_2022.csv").data['OriginCityName'].unique()) + list(Flights(path="..//home/user/app/database/flights/clean_Flights_2022.csv").data['DestCityName'].unique())
-df = Flights(path="..//home/user/app/database/flights/clean_Flights_2022.csv").data
-
-print(len(df))
-
-citySet = open('..//home/user/app/database/background/citySet.txt','r').read().split('\n')
-cnt = 0
-
-for city in unique_cities:
-    if city not in citySet:
-        df = df[(df['OriginCityName'] != city) & (df['DestCityName'] != city)]
-
-print(len(df))
-
-df.to_csv('..//home/user/app/database/flights/clean_Flights_2022.csv', index=False)