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

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 Chunk, File
from app.schemas.chunk import ChunkResponse
from app.schemas.chunk import ChunkCreateSchema
from app.services.text_splitter.splitter import get_splitter
from app.services.file_processor.pdf_processor import process_pdf
from app.services.file_processor.docx_processor import process_docx
from app.services.file_processor.excel_processor import process_csv, process_excel

router = APIRouter()

# Initialize CRUD
chunk_crud = CRUDBase(Chunk)


class SplitRequest(BaseModel):
    """Request model for splitting text"""
    file_id: UUID
    method: str = "recursive"
    chunk_size: int = Field(500, ge=50, le=5000)
    overlap: int = Field(50, ge=0, le=500)
    separator: Optional[str] = None


async def process_file_by_type(file: File) -> str:
    """Process file based on its type"""
    if not file.file_path:
        raise NotFoundException("File", file.id)

    processors = {
        "pdf": process_pdf,
        "docx": process_docx,
        "xlsx": process_excel,
        "csv": process_csv,
    }

    processor = processors.get(file.file_type)
    if not processor:
        # Return raw text for txt, md files
        loop = asyncio.get_event_loop()
        content = await loop.run_in_executor(
            None,
            lambda: open(file.file_path, 'r', encoding='utf-8').read()
        )
        return content

    return await processor(file.file_path)


@router.post("/split", response_model=ApiResponse)
async def split_text(
    project_id: UUID,
    request: SplitRequest,
    db: AsyncSession = Depends(get_db)
):
    """Split text into chunks"""
    # Get file
    result = await db.execute(
        select(File).where(File.id == request.file_id, File.project_id == project_id)
    )
    file = result.scalar_one_or_none()
    if not file:
        raise NotFoundException("File", request.file_id)

    # Process file
    text = await process_file_by_type(file)

    # Update file status
    file.status = "processing"
    await db.commit()

    # Split text
    kwargs = {"chunk_size": request.chunk_size, "overlap": request.overlap}
    if request.method == "custom" and request.separator:
        kwargs["separator"] = request.separator

    splitter = get_splitter(request.method, **kwargs)
    split_results = splitter.split(text)

    # Save chunks
    chunks = []
    for chunk_data in split_results:
        db_chunk = Chunk(
            project_id=project_id,
            file_id=file.id,
            name=chunk_data.get("name", f"Chunk {chunk_data['index'] + 1}"),
            content=chunk_data["content"],
            word_count=chunk_data.get("word_count", len(chunk_data["content"].split()))
        )
        db.add(db_chunk)
        chunks.append(db_chunk)

    await db.commit()

    # Update file status
    file.status = "completed"
    await db.commit()

    return ApiResponse.ok(
        data={"chunks": len(chunks)},
        message=f"Successfully split into {len(chunks)} chunks"
    )


@router.get("", response_model=ApiResponse)
async def list_chunks(
    project_id: UUID,
    file_id: Optional[UUID] = Query(None),
    page: int = Query(1, ge=1),
    page_size: int = Query(20, ge=1, le=100),
    db: AsyncSession = Depends(get_db)
):
    """List chunks for a project"""
    filters = {"project_id": project_id}
    if file_id:
        filters["file_id"] = file_id

    skip = (page - 1) * page_size
    chunks, total = await chunk_crud.get_multi(
        db,
        skip=skip,
        limit=page_size,
        filters=filters,
        order_by="created_at",
        descending=True
    )

    chunk_responses = [ChunkResponse.model_validate(c) for c in chunks]
    return PaginatedResponse.ok(
        items=chunk_responses,
        page=page,
        page_size=page_size,
        total=total
    )


@router.get("/{chunk_id}", response_model=ApiResponse)
async def get_chunk(
    project_id: UUID,
    chunk_id: UUID,
    db: AsyncSession = Depends(get_db)
):
    """Get chunk by ID"""
    chunk = await chunk_crud.get(db, chunk_id)
    if not chunk or chunk.project_id != project_id:
        raise NotFoundException("Chunk", chunk_id)

    return ApiResponse.ok(data=ChunkResponse.model_validate(chunk))


@router.put("/{chunk_id}", response_model=ApiResponse)
async def update_chunk(
    project_id: UUID,
    chunk_id: UUID,
    chunk: ChunkCreateSchema,
    db: AsyncSession = Depends(get_db)
):
    """Update chunk"""
    db_chunk = await chunk_crud.get(db, chunk_id)
    if not db_chunk or db_chunk.project_id != project_id:
        raise NotFoundException("Chunk", chunk_id)

    updated_chunk = await chunk_crud.update(db, db_chunk, chunk)
    return ApiResponse.ok(
        data=ChunkResponse.model_validate(updated_chunk),
        message="Chunk updated successfully"
    )


@router.delete("/{chunk_id}", response_model=ApiResponse)
async def delete_chunk(
    project_id: UUID,
    chunk_id: UUID,
    db: AsyncSession = Depends(get_db)
):
    """Delete chunk"""
    chunk = await chunk_crud.get(db, chunk_id)
    if not chunk or chunk.project_id != project_id:
        raise NotFoundException("Chunk", chunk_id)

    await chunk_crud.delete(db, chunk_id)
    return ApiResponse.ok(message="Chunk deleted successfully")