thanks github copilot for the comments i was too lazy to add

modules/sentenceprocessing.py

@@ -3,20 +3,29 @@ from modules.globalvars import *
 from modules.translations import *
 from nltk.sentiment.vader import SentimentIntensityAnalyzer
 from nltk.tokenize import word_tokenize
+
+# Initialize the sentiment analyzer
 analyzer = SentimentIntensityAnalyzer()
 
 def is_positive(sentence):
+    """
+    Determines if the sentiment of the sentence is positive.
+    Prints debug information and returns True if sentiment score > 0.1.
+    """
     scores = analyzer.polarity_scores(sentence)
     sentiment_score = scores['compound']
 
-        # forcin this fucker
+    # Print debug message with sentiment score
     debug_message = f"{DEBUG}{get_translation(LOCALE, 'sentence_positivity')} {sentiment_score}{RESET}"
     print(debug_message) 
 
     return sentiment_score > 0.1
 
-
 async def send_message(ctx, message=None, embed=None, file=None, edit=False, message_reference=None):
+    """
+    Sends or edits a message in a Discord context.
+    Handles both slash command and regular command contexts.
+    """
     if edit and message_reference:
         try:
             # Editing the existing message
@@ -34,7 +43,7 @@ async def send_message(ctx, message=None, embed=None, file=None, edit=False, mes
             if file:
                 sent_message = await ctx.respond(file=file, ephemeral=False)
         else:
-
+            # For regular command contexts
             sent_message = None
             if embed:
                 sent_message = await ctx.send(embed=embed)
@@ -43,26 +52,36 @@ async def send_message(ctx, message=None, embed=None, file=None, edit=False, mes
             if file:
                 sent_message = await ctx.send(file=file)
         return sent_message
-    
-#this doesnt work and im extremely pissed and mad
+
 def append_mentions_to_18digit_integer(message):
+    """
+    Removes 18-digit integers from the message (commonly used for Discord user IDs).
+    """
     pattern = r'\b\d{18}\b'
     return re.sub(pattern, lambda match: f"", message)
 
 def preprocess_message(message):
+    """
+    Preprocesses the message by removing 18-digit integers and non-alphanumeric tokens.
+    Returns the cleaned message as a string.
+    """
     message = append_mentions_to_18digit_integer(message)
     tokens = word_tokenize(message)
     tokens = [token for token in tokens if token.isalnum()]
     return " ".join(tokens)
 
 def improve_sentence_coherence(sentence):
-
+    """
+    Improves sentence coherence by capitalizing isolated 'i' pronouns.
+    """
     sentence = sentence.replace(" i ", " I ")  
     return sentence
 
 def rephrase_for_coherence(sentence):
-
+    """
+    Rephrases the sentence for coherence by joining words with spaces.
+    (Currently a placeholder function.)
+    """
     words = sentence.split()
-
     coherent_sentence = " ".join(words)
     return coherent_sentence