From 311fe9eefecb359a635d146f4e8625f64f01ef36 Mon Sep 17 00:00:00 2001
From: ZaneAridi1022 <80779298+ZaneAridi1022@users.noreply.github.com>
Date: Mon, 24 Oct 2022 17:26:59 -0400
Subject: [PATCH] Delete SpotifyProject.py

---
 ProjectSolution/SpotifyProject.py | 123 ------------------------------
 1 file changed, 123 deletions(-)
 delete mode 100644 ProjectSolution/SpotifyProject.py

diff --git a/ProjectSolution/SpotifyProject.py b/ProjectSolution/SpotifyProject.py
deleted file mode 100644
index 5b43c3b..0000000
--- a/ProjectSolution/SpotifyProject.py
+++ /dev/null
@@ -1,123 +0,0 @@
-#import Spotipy
-import ast
-from typing import List
-from os import listdir
-import spotipy
-import requests
-import pandas as pd
-
-def get_streamings(path: str = 'AData') -> List[dict]:
-    
-    files = ['AData/' + x for x in listdir(path)
-             if x.split('.')[0][:-1] == 'StreamingHistory']
-    
-    all_streamings = []
-    totalTimeByTrack = {}
-    
-    for file in files: 
-        with open(file, 'r', encoding='UTF-8') as f:
-            new_streamings = ast.literal_eval(f.read())
-            for streaming in new_streamings:
-                if streaming['trackName'] in totalTimeByTrack:
-                    totalTimeByTrack[streaming['trackName']] += round(streaming['msPlayed']/60000)
-                else:
-                    totalTimeByTrack[streaming['trackName']] = round(streaming['msPlayed']/60000)
-                all_streamings.append(streaming)
-    return totalTimeByTrack
-    
-
-def get_id(track_name: str, token: str) -> str:
-    headers = {
-    'Accept': 'application/json',
-    'Content-Type': 'application/json',
-    'Authorization': f'Bearer ' + token,
-    }
-    params = [
-    ('q', track_name),
-    ('type', 'track'),
-    ]
-    try:
-        response = requests.get('https://api.spotify.com/v1/search', 
-                    headers = headers, params = params, timeout = 5)
-        json = response.json()
-        first_result = json['tracks']['items'][0]
-        track_id = first_result['id']
-        return track_id
-    except:
-        return None
-
-
-def get_features(track_id: str, token: str) -> dict:
-    sp = spotipy.Spotify(auth=token)
-    try:
-        features = sp.audio_features([track_id])
-        return features[0]
-    except:
-        return None  
-    
-def trim_features(features: dict) -> dict:
-    # TODO: Only grab certain features
-    pass
-
-
-#get_streamings()
-    
-username = 'qut9zcs5mbfdmc5cykwudcjtj'
-client_id = '248c415c42004414acfa6cc8fe305bc3'
-client_secret = 'acb2bbbec3184747b5851fa482419ade'
-redirect_url = 'http://localhost:7777/callback'
-scope = 'user-read-recently-played'
-
-token = spotipy.util.prompt_for_user_token(username=username,
-                                   scope=scope,
-                                   client_id=client_id,
-                                   client_secret=client_secret,
-                                   redirect_uri=redirect_url)
-
-streamings = get_streamings()
-sortedListByStreamingTimes = sorted([x for x in streamings.values()])
-topX = int(len(sortedListByStreamingTimes)*.5)
-dataset = pd.DataFrame()
-
-featureFinalValues = {}
-for streamingName,timePlayed in streamings.items(): 
-    if timePlayed < sortedListByStreamingTimes[topX]:
-            continue
-        
-    ID = get_id(streamingName,token)
-    
-    # TODO: Make function to extract features we care about
-    features = get_features(ID,token)
-    
-    # TODO: Grab genere
-    
-    # get averages for each value in feature_avgs
-    for key,value in features.items():
-        
-        if key in featureFinalValues:
-            featureFinalValues[key][0] += value*timePlayed
-            featureFinalValues[key][1] += timePlayed
-        else:
-            featureFinalValues[key] = [value*timePlayed,timePlayed]
-    
-    
-    # Associtae indexs
-    bigFive = [50,50,50,50,50]
-    
-    
-    
-
-#print("Streamings:",streamings)
-#print("\nID:",ID)
-#print("\nfeatures",features)
-
-# ID 1
-# Dictionary where ID is the key
-# the value will be a tuple
-# two dictionaries
-# Dict1 will have all a person songs that are in the top 75% of their listening.
-# Keys for this dictioanry will be the song name and value will be a tuple of time listen to in total and the artist name
-
-
-# ITF dictionary 2 od the tuple will be the quetion number ids and participant responses
-