Add generate level exam endpoint.

app.py

@@ -766,6 +766,22 @@ def get_reading_passage_3_question():
         return str(e)
 
 
+@app.route('/level', methods=['GET'])
+@jwt_required()
+def get_level_exam():
+    try:
+        number_of_exercises = 25
+        exercises = gen_multiple_choice_level(number_of_exercises)
+        return {
+            "exercises": [exercises],
+            "isDiagnostic": False,
+            "minTimer": 25,
+            "module": "level"
+        }
+    except Exception as e:
+        return str(e)
+
+
 @app.route('/fetch_tips', methods=['POST'])
 @jwt_required()
 def fetch_answer_tips():

helper/exercises.py

@@ -666,3 +666,27 @@ def gen_write_blanks_form_exercise_listening_monologue(text: str, quantity: int,
         "text": replaced_form,
         "type": "writeBlanks"
     }
+
+
+def gen_multiple_choice_level(quantity: int, start_id=1):
+    gen_multiple_choice_for_text = "Generate " + str(
+        quantity) + " multiple choice questions of 4 options for an english level exam"
+    token_count = count_tokens(gen_multiple_choice_for_text)["n_tokens"] - 300
+    mc_questions = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, gen_multiple_choice_for_text, token_count,
+                                             None,
+                                             GEN_QUESTION_TEMPERATURE)
+    parse_mc_questions = "Parse the questions into this json format: {\"questions\": [{\"id\": \"9\", \"options\": [{\"id\": \"A\", \"text\": " \
+                         "\"And\"}, {\"id\": \"B\", \"text\": \"Cat\"}, {\"id\": \"C\", \"text\": " \
+                         "\"Happy\"}, {\"id\": \"D\", \"text\": \"Jump\"}], " \
+                         "\"prompt\": \"Which of the following is a conjunction?\", " \
+                         "\"solution\": \"A\", \"variant\": \"text\"}]}. \nThe questions: '" + mc_questions + "'"
+    token_count = count_tokens(parse_mc_questions, model_name=GPT_3_5_TURBO_INSTRUCT)["n_tokens"] - 300
+    question = make_openai_instruct_call(GPT_3_5_TURBO_INSTRUCT, parse_mc_questions, token_count,
+                                         ["questions"],
+                                         GEN_QUESTION_TEMPERATURE)
+    return {
+        "id": str(uuid.uuid4()),
+        "prompt": "Select the appropriate option.",
+        "questions": fix_exercise_ids(question, start_id)["questions"],
+        "type": "multipleChoice",
+    }