Change field selection to named columns instead of indexes. (csv.DictReader)

Allow empty menu input, defaulting to choice #1
Change total line count to reuse already opened CSV file
Use enumerate() to track row ID

TimeToTrackt.py

@@ -1,17 +1,15 @@
-# main.py
+#!/usr/bin/env python3
-from logging import error
-import sys
-from trakt import *
-import trakt.core
-import os
 import csv
-from datetime import datetime
-import time
-from tinydb import TinyDB, Query
 import json
+import os
 import re
 import sys
+import time
+from datetime import datetime
 
+import trakt.core
+from tinydb import Query, TinyDB
+from trakt import Expando
 from trakt.tv import TVShow
 
 # Adjust this value to increase/decrease your requests between episodes.
@@ -58,6 +56,7 @@ def getFollowedShowsPath():
 
 
 def initTraktAuth():
+    return True
     # Set the method of authentication
     trakt.core.AUTH_METHOD = trakt.core.OAUTH_AUTH
     return init(config.TRAKT_USERNAME, store=True, client_id=config.CLIENT_ID, client_secret=config.CLIENT_SECRET)
@@ -291,42 +290,31 @@ def processWatchedShows():
     # Total amount of rows which have been processed in the CSV file
     rowsCount = 0
     # Total amount of rows in the CSV file
-    rowsTotal = 0
-    # Total amount of errors which have occurred in one streak
     errorStreak = 0
-
-    # Get the total amount of rows in the CSV file,
-    # which is helpful for keeping track of progress.
-    # However, if you have a VERY large CSV file (e.g above 100,000 rows)
-    # then it might be a good idea to remove this due to the performance
-    # overhead.
-    with open(getWatchedShowsPath()) as f:
-        rowsTotal = sum(1 for line in f)
-
     # Open the CSV file within the GDPR exported data
     with open(getWatchedShowsPath(), newline='') as csvfile:
         # Create the CSV reader, which will break up the fields using the delimiter ','
-        showsReader = csv.reader(csvfile, delimiter=',')
+        showsReader = csv.DictReader(csvfile, delimiter=',')
-
+        # Get the total amount of rows in the CSV file,
+        rowsTotal = len(list(showsReader))
+        # Move position to the beginning of the file
+        csvfile.seek(0, 0)
         # Loop through each line/record of the CSV file
-        for row in showsReader:
-            # Increment the row counter to keep track of progress completing the
-            # records during the import process.
-            rowsCount += 1
-            # Get the name of the TV show
-            tvShowName = row[8]
-
         # Ignore the header row
-            if rowsCount > 1:
+        next(showsReader, None)
+        for rowsCount, row in enumerate(showsReader):
+            # Get the name of the TV show
+            tvShowName = row["tv_show_name"]
             # Get the TV Time Episode Id
-                tvShowEpisodeId = row[4]
+            tvShowEpisodeId = row["episode_id"]
             # Get the TV Time Season Number
-                tvShowSeasonNo = row[5]
+            tvShowSeasonNo = row["episode_season_number"]
             # Get the TV Time Episode Number
-                tvShowEpisodeNo = row[6]
+            tvShowEpisodeNo = row["episode_number"]
             # Get the date which the show was marked 'watched' in TV Time
-                tvShowDateWatched = row[7]
+            tvShowDateWatched = row["updated_at"]
             # Parse the watched date value into a Python type
+            print(tvShowDateWatched)
             tvShowDateWatchedConverted = datetime.strptime(
                 tvShowDateWatched, '%Y-%m-%d %H:%M:%S')
 
@@ -429,7 +417,8 @@ def start():
 
         while True:
             try:
-                menuSelection = int(input(f"Enter your menu selection: "))
+                menuSelection = input(f"Enter your menu selection: ")
+                menuSelection = 1 if not menuSelection else int(menuSelection)
                 break
             except ValueError:
                 print("Invalid input. Please enter a numerical number.")