Changes to endpoints so they allow to only get context and then the exercises as well as tidying up a bit

app/services/impl/exam/level/exercises/blank_space.py

@@ -0,0 +1,44 @@
+import random
+
+from app.configs.constants import EducationalContent, GPTModels, TemperatureSettings
+from app.services.abc import ILLMService
+
+
+class BlankSpace:
+
+    def __init__(self, llm: ILLMService, mc_variants: dict):
+        self._llm = llm
+        self._mc_variants = mc_variants
+
+    async def gen_blank_space_text_utas(
+            self, quantity: int, start_id: int, size: int, topic=None
+    ):
+        if not topic:
+            topic = random.choice(EducationalContent.MTI_TOPICS)
+
+        json_template = self._mc_variants["blank_space_text"]
+        messages = [
+            {
+                "role": "system",
+                "content": f'You are a helpful assistant designed to output JSON on this format: {json_template}'
+            },
+            {
+                "role": "user",
+                "content": f'Generate a text of at least {size} words about the topic {topic}.'
+            },
+            {
+                "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. '
+                    '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.'
+                )
+            }
+        ]
+
+        question = await self._llm.prediction(
+            GPTModels.GPT_4_O, messages,  ["question"], TemperatureSettings.GEN_QUESTION_TEMPERATURE
+        )
+
+        return question["question"]