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

This commit is contained in:
Carlos-Mesquita
2024-11-04 23:31:48 +00:00
parent 2a032c5aba
commit 84ed2f2f6a
83 changed files with 4229 additions and 1843 deletions

View File

@@ -0,0 +1,49 @@
import uuid
from app.configs.constants import GPTModels, TemperatureSettings
from app.helpers import ExercisesHelper
from app.services.abc import ILLMService
class TrueFalse:
def __init__(self, llm: ILLMService):
self._llm = llm
async def gen_true_false_not_given_exercise(self, text: str, quantity: int, start_id: int, difficulty: str):
messages = [
{
"role": "system",
"content": (
'You are a helpful assistant designed to output JSON on this format: '
'{"prompts":[{"prompt": "statement_1", "solution": "true/false/not_given"}, '
'{"prompt": "statement_2", "solution": "true/false/not_given"}]}')
},
{
"role": "user",
"content": (
f'Generate {str(quantity)} {difficulty} difficulty statements based on the provided text. '
'Ensure that your statements accurately represent information or inferences from the text, and '
'provide a variety of responses, including, at least one of each True, False, and Not Given, '
f'as appropriate.\n\nReference text:\n\n {text}'
)
}
]
response = await self._llm.prediction(
GPTModels.GPT_4_O, messages, ["prompts"], TemperatureSettings.GEN_QUESTION_TEMPERATURE
)
questions = response["prompts"]
if len(questions) > quantity:
questions = ExercisesHelper.remove_excess_questions(questions, len(questions) - quantity)
for i, question in enumerate(questions, start=start_id):
question["id"] = str(i)
return {
"id": str(uuid.uuid4()),
"prompt": "Do the following statements agree with the information given in the Reading Passage?",
"questions": questions,
"type": "trueFalse"
}