"""``/api/training/mentor`` — AI Mentor endpoint.

Students inside a TrainingSession can ask the AI mentor for hints,
concept explanations, or resource suggestions. The mentor guides
without giving away the full solution.
"""

from typing import Optional
from fastapi import APIRouter, Depends, HTTPException, Request
from pydantic import BaseModel
from slowapi import Limiter
from slowapi.util import get_remote_address

from app.core.auth import get_current_user
from app.services.mentor_service import get_mentor_response
from app.services.supabase_service import fetch_scenario_by_id


router = APIRouter()
limiter = Limiter(key_func=get_remote_address)


class MentorRequest(BaseModel):
    challengeId: str
    challengeType: str
    userQuestion: str
    userAnswer: str = ""
    conversationHistory: Optional[list[dict[str, str]]] = None


@router.post("/api/training/mentor")
@limiter.limit("10/minute")
async def ask_mentor(
    req: MentorRequest,
    request: Request,
    user: dict = Depends(get_current_user),
):
    if not req.challengeId or not req.userQuestion:
        raise HTTPException(status_code=400, detail="challengeId و userQuestion مطلوبان")

    challenge_data = await fetch_scenario_by_id(
        "blue" if req.challengeType in ("code-fixing", "log-analysis", "vulnerability-hunter") else "red",
        req.challengeId,
        challenge_type=req.challengeType,
    )
    if not challenge_data:
        raise HTTPException(status_code=404, detail="التحدي غير موجود")

    result = await get_mentor_response(
        challenge_type=req.challengeType,
        challenge_data=challenge_data,
        user_question=req.userQuestion,
        user_answer=req.userAnswer,
        conversation_history=req.conversationHistory,
    )
    return result