Added missing fillBlanks mc variant that was in UTAS to custom level

app.py

@@ -1317,6 +1317,7 @@ class CustomLevelExerciseTypes(Enum):
     MULTIPLE_CHOICE_4 = "multiple_choice_4"
     MULTIPLE_CHOICE_BLANK_SPACE = "multiple_choice_blank_space"
     MULTIPLE_CHOICE_UNDERLINED = "multiple_choice_underlined"
+    FILL_BLANKS_MC = "fill_blanks_mc"
     BLANK_SPACE_TEXT = "blank_space_text"
     READING_PASSAGE_UTAS = "reading_passage_utas"
     WRITING_LETTER = "writing_letter"
@@ -1414,6 +1415,14 @@ def get_custom_level():
                 exercise_id = exercise_id + qty
                 exercise_qty = exercise_qty - qty
 
+        elif exercise_type == CustomLevelExerciseTypes.FILL_BLANKS_MC.value:
+            response["exercises"]["exercise_" + str(i)] = gen_fill_blanks_mc_utas(
+                exercise_qty, exercise_id, exercise_text_size
+            )
+            response["exercises"]["exercise_" + str(i)]["type"] = "fillBlanks"
+            response["exercises"]["exercise_" + str(i)]["variant"] = "mc"
+            exercise_id = exercise_id + exercise_qty
+
         elif exercise_type == CustomLevelExerciseTypes.BLANK_SPACE_TEXT.value:
             response["exercises"]["exercise_" + str(i)] = gen_blank_space_text_utas(exercise_qty, exercise_id,
                                                                                     exercise_text_size)

helper/exercises.py

@@ -1563,6 +1563,66 @@ def gen_multiple_choice_underlined_utas(quantity: int, start_id: int, all_exams=
         return response
 
 
+def gen_fill_blanks_mc_utas(quantity: int, start_id: int, size: int, topic=random.choice(mti_topics)):
+    json_format = {
+        "question": {
+            "solutions": [
+                {
+                    "id": "<question id>",
+                    "solution": "<the option that holds the solution>"
+                }
+            ],
+            "words": [
+                {
+                    "id": "<question id>",
+                    "options": {
+                        "A": "<a option>",
+                        "B": "<b option>",
+                        "C": "<c option>",
+                        "D": "<d option>"
+                    }
+                }
+            ],
+            "text": "text"
+        }
+    }
+
+    messages = [
+        {
+            "role": "system",
+            "content": 'You are a helpful assistant designed to output JSON on this format: ' + str(json_format)
+        },
+        {
+            "role": "user",
+            "content": (
+                f'Generate a text of at least {size} words about the topic {topic}. Make sure the text is structured '
+                'in paragraphs formatted with newlines (\\n\\n) to delimit them.'
+            )
+        },
+        {
+            "role": "user",
+            "content": (
+                f'From the generated text choose {quantity} words (cannot be sequential words) to replace '
+                'once with {{id}} where id starts on ' + str(start_id) + ' and is incremented for each word. '
+                'For each word choose 4 options, 1 correct and the other ones false. Make sure that only 1 is the '
+                'correct one amongst the 4 options and put the solution on the solutions array. '
+                'The ids must be ordered throughout the text and the words must be replaced only once. Put the '
+                'removed words and respective ids on the words array of the json in the correct order. You can\'t '
+                'reference multiple times the same id across the text, if for example one of the chosen words is '
+                '"word1" then word1 must be placed in the text with an id once, if word1 is referenced other '
+                'times in the text then replace with the actual text of word.'
+            )
+        }
+    ]
+
+    token_count = count_total_tokens(messages)
+    question = make_openai_call(GPT_4_O, messages, token_count,
+                                ["question"],
+                                GEN_QUESTION_TEMPERATURE)
+
+    return question["question"]
+
+
 def gen_blank_space_text_utas(quantity: int, start_id: int, size: int, topic=random.choice(mti_topics)):
     json_format = {
         "question": {