Mireya Cueto Garrido
4d2ced85a3
Require LLM_BASE_URL and LLM_API_KEY for automatic generation, add per-user rate limits, stop publishing backend/LLM settings in docker-compose, and document secure deployment.
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
import uuid
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from typing import Annotated
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from fastapi import APIRouter, Depends
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from app.api.dependencies import get_exam_service, get_llm_client
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from app.api.llm_guard import require_llm_generation
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from app.core.auth import get_current_user
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from app.models.user import User
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from app.schemas.exam import (
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BuildPromptRequest,
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GenerateExamRequest,
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ParsedQuestionsResponse,
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ParseRequest,
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PromptResponse,
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)
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from app.services.exam_service import ExamService
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from app.services.llm import LLMClient
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router = APIRouter(tags=["generation"])
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@router.post("/prompts/{template_id}", response_model=PromptResponse)
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def build_prompt(
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template_id: uuid.UUID,
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payload: BuildPromptRequest,
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current_user: Annotated[User, Depends(get_current_user)],
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service: Annotated[ExamService, Depends(get_exam_service)],
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) -> PromptResponse:
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return service.build_prompt(
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current_user.id,
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template_id,
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payload.topic_prompt,
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payload.material_ids,
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)
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@router.post("/generate", response_model=ParsedQuestionsResponse)
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async def generate_exam(
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payload: GenerateExamRequest,
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current_user: Annotated[User, Depends(require_llm_generation)],
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service: Annotated[ExamService, Depends(get_exam_service)],
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llm_client: Annotated[LLMClient, Depends(get_llm_client)],
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) -> ParsedQuestionsResponse:
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return await service.generate_with_llm(
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current_user.id,
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payload.template_id,
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payload.topic_prompt,
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llm_client,
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payload.material_ids,
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)
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@router.post("/parse", response_model=ParsedQuestionsResponse)
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def parse_ai_output(
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payload: ParseRequest,
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current_user: Annotated[User, Depends(get_current_user)],
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service: Annotated[ExamService, Depends(get_exam_service)],
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) -> ParsedQuestionsResponse:
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return service.parse_and_persist(current_user.id, payload)
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