diff --git a/utils/consume.py b/utils/consume.py
index 707d4d0..f2ede2b 100644
--- a/utils/consume.py
+++ b/utils/consume.py
@@ -63,45 +63,85 @@ class MyCSVHandler(FileSystemEventHandler):
     """
     currentRow = 0
     queue = MyQueue()
-    currentDf = pd.DataFrame()
 
-    def __init__(self, row, queue, df):
+    def __init__(self, row, queue):
+        """Initialize the myCsv handler.
+
+        Parameters
+        ----------
+        row : int or list of int
+            The index of the first row to begin processing at
+        queue : MyQueue
+            The queue in which to store row indexes in
+        """
         self.currentRow = row
         self.queue = queue
-        self.currentDf = df
 
     def on_created(self, event):
+        """Prints the file path if the file being watched for is created.
+
+        Parameters
+        ----------
+        event : event
+            The event object representing the event that triggered the handler.
+        """
         print("Watchdog received created event - % s." % event.src_path)
         # Event is created, you can process it now
 
     def on_modified(self, event):
+        """Prints the file path if the file being watched for is modified and adds the indecies of all
+        rows in the csv including and after "self.currentRow".
+
+        Parameters
+        ----------
+        event : event
+            The event object representing the event that triggered the handler.
+        """
         print("Watchdog received modified event - % s." % event.src_path)
-        self.currentDf = pd.read_csv(event.src_path)
-        lastRow = self.currentDf.shape[0]
-        #TODO: generate a list of row numbers from self.current row+1 to the last row in the df
+        currentDf = pd.read_csv(event.src_path)
+        lastRow = currentDf.shape[0]
         rowSpan = get_row_span(self.currentRow, lastRow)
-        #TODO: put this list of numbers in the queue
-        print('rowspan: ')
-        print(rowSpan)
+        #print('rowspan: ')
+        #print(rowSpan)
         self.queue.enqueue(rowSpan)
-        #TODO: update self.current row
         self.currentRow = lastRow
         # Event is modified, youu\ can process it now
 
-class MyZipHandler(FileSystemEventHandler):
-    queue = []
+# class MyZipHandler(FileSystemEventHandler):
+#     queue = []
 
-    def __init__(self, row, queue):
-        self.queue = queue
+#     def __init__(self, queue):
+#         """Initialize the MyZipHandler.
 
-    def on_created(self, event):
-        print("Watchdog received created event - % s." % event.src_path)
-        # Event is created, you can process it now
+#         Parameters
+#         ----------
+#         queue : MyQueue
+#             The queue in which to store row indexes in
+#         """
+#         self.queue = queue
 
-    def on_modified(self, event):
-        print("Watchdog received modified event - % s." % event.src_path)
-        self.queue.append(event.src_path)
-        # Event is modified, youu\ can process it now
+#     def on_created(self, event):
+#         """Prints the file path if the file being watched for is created and adds the indecies of all.
+
+#         Parameters
+#         ----------
+#         event : event
+#             The event object representing the event that triggered the handler.
+#         """
+#         print("Watchdog received created event - % s." % event.src_path)
+#         # Event is created, you can process it now
+
+#     def on_modified(self, event):
+#         """Prints the file path if the file being watched is modified and adds the path to a queue.
+
+#         Parameters
+#         ----------
+#         event : event
+#             The event object representing the event that triggered the handler.
+#         """
+#         print("Watchdog received modified event - % s." % event.src_path)
+#         self.queue.append(event.src_path)
+#         # Event is modified, youu\ can process it now
 
 
 def consume(path,line):
@@ -120,13 +160,13 @@ def consume(path,line):
     """
     queue = MyQueue()
     df = pd.DataFrame()
-    event_handler = MyCSVHandler(line, queue, df)
+    event_handler = MyCSVHandler(line, queue)
     observer = Observer()
     observer.schedule(event_handler, path, recursive=True)
     observer.start()
     try:
         while True:
-            time.sleep(1)
+            time.sleep(1) #This may not be needed
             currentJob = queue.dequeue()
             if currentJob != None:
                 print(df)
@@ -169,4 +209,11 @@ def dummy_process(job, df, path):
     print(row)
 
 def get_row(job,df):
+    """Prints a row from the csv file.
+
+    Parameters
+    ----------
+    mountPoint : str
+        The directory to mount the google drive to
+    """
     return df.iloc[job]