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annotation/src/utils.py

@@ -146,7 +146,7 @@ def get_city_list(days, deparure_city, destination):
     if days == 3:
         city_list.append(destination)
     else:
-        city_set = open('../database/background/citySet_with_states.txt').read().split('\n')
+        city_set = open('/home/user/app/database/background/citySet_with_states.txt').read().split('\n')
         state_city_map = {}
         for unit in city_set:
             city, state = unit.split('\t')

commonsenseConstraint.py

@@ -21,7 +21,7 @@ restaurants = Restaurants()
 googleDistanceMatrix = GoogleDistanceMatrix()
 attractions = Attractions()
 
-city_state_set = open('../database/background/citySet_with_states.txt','r').read().split('\n')
+city_state_set = open('/home/user/app/database/background/citySet_with_states.txt','r').read().split('\n')
 city_state_map = {x:y for x,y in [unit.split('\t') for unit in city_state_set]}
 
 

tools/attractions/test.py

@@ -4,14 +4,14 @@ import sys
 import os
 sys.path.append(os.path.abspath(os.path.join(os.getcwd(), "..")))
 os.chdir(os.path.dirname(os.path.abspath(__file__)))
-unique_cities = Attractions(path="../../database/attractions/attractions.csv").data['City'].unique()
-df = Attractions(path="../../database/attractions/attractions.csv").data
+unique_cities = Attractions(path="..//home/user/app/database/attractions/attractions.csv").data['City'].unique()
+df = Attractions(path="..//home/user/app/database/attractions/attractions.csv").data
 print(len(df))
-citySet = open('../../database/background/citySet.txt','r').read().split('\n')
+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['City'] != city]
 print(len(df))
 
-df.to_csv('../../database/attractions/attractions2.csv', index=False)
+df.to_csv('..//home/user/app/database/attractions/attractions2.csv', index=False)

tools/flights/apis.py

@@ -5,7 +5,7 @@ from annotation.src.utils import extract_before_parenthesis
 
 class Flights:
 
-    def __init__(self, path="../database/flights/clean_Flights_2022.csv"):
+    def __init__(self, path="/home/user/app/database/flights/clean_Flights_2022.csv"):
         self.path = path
         self.data = None
 

tools/flights/test.py

@@ -18,12 +18,12 @@ import os
 # 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="../../database/flights/clean_Flights_2022.csv").data['OriginCityName'].unique()) + list(Flights(path="../../database/flights/clean_Flights_2022.csv").data['DestCityName'].unique())
-df = Flights(path="../../database/flights/clean_Flights_2022.csv").data
+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('../../database/background/citySet.txt','r').read().split('\n')
+citySet = open('..//home/user/app/database/background/citySet.txt','r').read().split('\n')
 cnt = 0
 
 for city in unique_cities:
@@ -32,4 +32,4 @@ for city in unique_cities:
 
 print(len(df))
 
-df.to_csv('../../database/flights/clean_Flights_2022.csv', index=False)
+df.to_csv('..//home/user/app/database/flights/clean_Flights_2022.csv', index=False)

tools/googleDistanceMatrix/apis.py

@@ -14,7 +14,7 @@ os.environ["https_proxy"] = "http://127.0.0.1:7890"
 class GoogleDistanceMatrix:
     def __init__(self, subscription_key: str="AIzaSyClbhCKqk2QS97jadE0RQ3qYCAteY7sK4I") -> None:
         self.gplaces_api_key: str = subscription_key
-        self.data =  pd.read_csv('../database/googleDistanceMatrix/distance.csv')
+        self.data =  pd.read_csv('/home/user/app/database/googleDistanceMatrix/distance.csv')
         print("GoogleDistanceMatrix loaded.")
 
     def run(self, origin, destination, mode='driving'):

tools/restaurants/apis.py

@@ -4,7 +4,7 @@ from typing import Optional
 from annotation.src.utils import extract_before_parenthesis
 
 class Restaurants:
-    def __init__(self, path="../database/restaurants/clean_restaurant_2022.csv"):
+    def __init__(self, path="/home/user/app/database/restaurants/clean_restaurant_2022.csv"):
         self.path = path
         self.data = pd.read_csv(self.path).dropna()[['Name','Average Cost','Cuisines','Aggregate Rating','City']]
         print("Restaurants loaded.")

utils/budget_estimation.py

@@ -56,7 +56,7 @@ def budget_calc(org, dest, days, date:list , people_number=None, local_constrain
 
 
     elif grain == "state":
-        city_set = open('../database/background/citySet_with_states.txt').read().strip().split('\n')
+        city_set = open('/home/user/app/database/background/citySet_with_states.txt').read().strip().split('\n')
         
         all_hotel_data = []
         all_restaurant_data = []

utils/query_element_selection.py

@@ -11,7 +11,7 @@ import numpy as np
 
 google_distance = GoogleDistanceMatrix()
 
-city_set = open('../database/background/citySet_with_states.txt').read().strip().split('\n')
+city_set = open('/home/user/app/database/background/citySet_with_states.txt').read().strip().split('\n')
 
 state_city_map = {}
 
@@ -49,7 +49,7 @@ def select_consecutive_dates(num_days, start_date=datetime(2022, 3, 1), end_date
 
 def get_org_dest(days:int):
     if days == 3:
-        city_set = open('../database/background/citySet_with_states.txt').read().strip().split('\n')
+        city_set = open('/home/user/app/database/background/citySet_with_states.txt').read().strip().split('\n')
 
         org = random.choice(city_set)
 
@@ -63,7 +63,7 @@ def get_org_dest(days:int):
 
     elif days in [5,7]:
     
-        state_set = open('../database/background/citySet_with_states.txt').read().strip().split('\n')
+        state_set = open('/home/user/app/database/background/citySet_with_states.txt').read().strip().split('\n')
         org = random.choice(state_set)
 
         while True: