Brushed up the backend, added writing task 1 academic prompt gen and grading ENCOA-274

ielts_be/services/impl/exam/reading/write_blanks.py

@@ -0,0 +1,44 @@
+import uuid
+
+from ielts_be.configs.constants import GPTModels, TemperatureSettings
+from ielts_be.helpers import ExercisesHelper
+from ielts_be.services import ILLMService
+
+
+class WriteBlanks:
+
+    def __init__(self, llm: ILLMService):
+        self._llm = llm
+
+    async def gen_write_blanks_exercise(self, text: str, quantity: int, start_id: int, difficulty: str, max_words: int = 3):
+        messages = [
+            {
+                "role": "system",
+                "content": (
+                    'You are a helpful assistant designed to output JSON on this format: '
+                    '{"questions": [{"question": question, "possible_answers": ["answer_1", "answer_2"]}]}'
+                )
+            },
+            {
+                "role": "user",
+                "content": (
+                    f'Generate {str(quantity)} {difficulty} difficulty short answer questions, and the '
+                    f'possible answers, must have maximum {max_words} words per answer, about this text:\n"{text}"'
+                )
+
+            }
+        ]
+
+        response = await self._llm.prediction(
+            GPTModels.GPT_4_O, messages, ["questions"], TemperatureSettings.GEN_QUESTION_TEMPERATURE
+        )
+        questions = response["questions"][:quantity]
+
+        return {
+            "id": str(uuid.uuid4()),
+            "maxWords": max_words,
+            "prompt": f"Choose no more than {max_words} words and/or a number from the passage for each answer.",
+            "solutions": ExercisesHelper.build_write_blanks_solutions(questions, start_id),
+            "text": ExercisesHelper.build_write_blanks_text(questions, start_id),
+            "type": "writeBlanks"
+        }