"""
Evaluation API Router
"""
from typing import Optional
from uuid import UUID
from pydantic import BaseModel, Field
from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession

from app.api.response import ApiResponse, PaginatedResponse
from app.core.database import get_db
from app.core.exceptions import NotFoundException
from app.core.crud import CRUDBase
from app.models.models import EvalDataset, Task
from app.schemas.eval import EvalDatasetResponse, TaskResponse
from app.schemas.eval import EvalDatasetCreateSchema

router = APIRouter()

# Initialize CRUD
eval_crud = CRUDBase(EvalDataset)
task_crud = CRUDBase(Task)


class GenerateEvalRequest(BaseModel):
    """Request for generating evaluation dataset"""
    name: str = Field(..., min_length=1, max_length=255)
    question_type: str = Field("mixed", pattern="^(mixed|fact|reasoning|summary)$")
    count: int = Field(50, ge=1, le=500)


class RunEvalRequest(BaseModel):
    """Request for running evaluation"""
    model_config_id: Optional[UUID] = None


@router.get("", response_model=ApiResponse)
async def list_eval_datasets(
    project_id: UUID,
    page: int = Query(1, ge=1),
    page_size: int = Query(20, ge=1, le=100),
    db: AsyncSession = Depends(get_db)
):
    """List evaluation datasets"""
    skip = (page - 1) * page_size
    datasets, total = await eval_crud.get_multi(
        db,
        skip=skip,
        limit=page_size,
        filters={"project_id": project_id},
        order_by="created_at",
        descending=True
    )

    dataset_responses = [EvalDatasetResponse.model_validate(d) for d in datasets]
    return PaginatedResponse.ok(
        items=dataset_responses,
        page=page,
        page_size=page_size,
        total=total
    )


@router.post("", response_model=ApiResponse)
async def create_eval_dataset(
    project_id: UUID,
    request: GenerateEvalRequest,
    db: AsyncSession = Depends(get_db)
):
    """Create evaluation dataset"""
    db_dataset = EvalDataset(
        project_id=project_id,
        name=request.name,
        question_type=request.question_type
    )
    db.add(db_dataset)
    await db.commit()
    await db.refresh(db_dataset)

    return ApiResponse.ok(
        data={"id": str(db_dataset.id)},
        message="Evaluation dataset created successfully"
    )


@router.get("/{eval_id}", response_model=ApiResponse)
async def get_eval_dataset(
    project_id: UUID,
    eval_id: UUID,
    db: AsyncSession = Depends(get_db)
):
    """Get evaluation dataset by ID"""
    dataset = await eval_crud.get(db, eval_id)
    if not dataset or dataset.project_id != project_id:
        raise NotFoundException("Evaluation Dataset", eval_id)

    return ApiResponse.ok(data=EvalDatasetResponse.model_validate(dataset))


@router.post("/{eval_id}/evaluate", response_model=ApiResponse)
async def run_evaluation(
    project_id: UUID,
    eval_id: UUID,
    request: RunEvalRequest,
    db: AsyncSession = Depends(get_db)
):
    """Run evaluation on dataset"""
    # Check dataset exists
    dataset = await eval_crud.get(db, eval_id)
    if not dataset or dataset.project_id != project_id:
        raise NotFoundException("Evaluation Dataset", eval_id)

    # Create evaluation task
    task = Task(
        project_id=project_id,
        task_type="eval",
        status="pending"
    )
    db.add(task)
    await db.commit()
    await db.refresh(task)

    return ApiResponse.ok(
        data={"task_id": str(task.id)},
        message="Evaluation task started"
    )


@router.get("/results", response_model=ApiResponse)
async def get_eval_results(
    project_id: UUID,
    task_id: UUID,
    db: AsyncSession = Depends(get_db)
):
    """Get evaluation results"""
    task = await task_crud.get(db, task_id)
    if not task or task.project_id != project_id:
        raise NotFoundException("Task", task_id)

    return ApiResponse.ok(data=TaskResponse.model_validate(task))