Simmilar reply in last 10 reviews has been ommited.

nlu_job/views.py

@@ -3,14 +3,33 @@ from django.utils import timezone
 from django.shortcuts import redirect
 from review.forms import ReplyForm
 from review.models import Review, CustomReply
+from gauth.models import Location
+from difflib import SequenceMatcher
 
 from .nlu_utils import model_inference, analyze_inference
 
 
+def filter_with_last_ten_reviews(location_id, replies):
+    replies = list(replies)
+    revs = Review.objects.filter(location_id=location_id).exclude(reply=None).order_by('-update_time')[:12]
+    for r in revs:
+        s1 = r.reply.replied_text
+        for rep in replies:
+            s2 = rep.reply
+            similarity = SequenceMatcher(None, s1, s2).ratio()
+            if similarity > 0.7:
+                replies.remove(rep)
+                print(similarity, '--------------', rep.reply_category)
+            # if similarity < 0.7 and rep not in reps:
+            #     reps.append(rep)
+    return replies
+
+
 def predict_report(request, review_id):
     review = Review.objects.filter(review_id=review_id).first()
     if review is None:
         return redirect('un-replied-review')
+    location_id = review.location.location_id
     text = review.comment.lower()
     res = model_inference(text=text)
     intents = analyze_inference(res)
@@ -21,7 +40,8 @@ def predict_report(request, review_id):
     replies = {}
     for intent in intents.keys():
         r = CustomReply.objects.filter(reply_category=intent)
-        replies[intent] = r
+        filtered_replies = filter_with_last_ten_reviews(location_id, r)
+        replies[intent] = filtered_replies
     context = {
         'reviews': reviews,
         'form': form,