import logging
import time

import click
from celery import shared_task
from sqlalchemy import delete, select

from core.db.session_factory import session_factory
from core.indexing_runner import DocumentIsPausedError, IndexingRunner
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
from extensions.ext_database import db
from libs.datetime_utils import naive_utc_now
from models.dataset import Dataset, Document, DocumentSegment

logger = logging.getLogger(__name__)


@shared_task(queue="dataset")
def document_indexing_update_task(dataset_id: str, document_id: str):
    """
    Async update document
    :param dataset_id:
    :param document_id:

    Usage: document_indexing_update_task.delay(dataset_id, document_id)
    """
    logger.info(click.style(f"Start update document: {document_id}", fg="green"))
    start_at = time.perf_counter()

    with session_factory.create_session() as session:
        document = session.query(Document).where(Document.id == document_id, Document.dataset_id == dataset_id).first()

        if not document:
            logger.info(click.style(f"Document not found: {document_id}", fg="red"))
            return

        document.indexing_status = "parsing"
        document.processing_started_at = naive_utc_now()
        session.commit()

        # delete all document segment and index
        try:
            dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
            if not dataset:
                raise Exception("Dataset not found")

            index_type = document.doc_form
            index_processor = IndexProcessorFactory(index_type).init_index_processor()

            segments = session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
            if segments:
                index_node_ids = [segment.index_node_id for segment in segments]

                # delete from vector index
                index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
                segment_ids = [segment.id for segment in segments]
                segment_delete_stmt = delete(DocumentSegment).where(DocumentSegment.id.in_(segment_ids))
                session.execute(segment_delete_stmt)
                db.session.commit()
            end_at = time.perf_counter()
            logger.info(
                click.style(
                    "Cleaned document when document update data source or process rule: {} latency: {}".format(
                        document_id, end_at - start_at
                    ),
                    fg="green",
                )
            )
        except Exception:
            logger.exception("Cleaned document when document update data source or process rule failed")

        try:
            indexing_runner = IndexingRunner()
            indexing_runner.run([document])
            end_at = time.perf_counter()
            logger.info(click.style(f"update document: {document.id} latency: {end_at - start_at}", fg="green"))
        except DocumentIsPausedError as ex:
            logger.info(click.style(str(ex), fg="yellow"))
        except Exception:
            logger.exception("document_indexing_update_task failed, document_id: %s", document_id)
