components/services/document.py

import logging
import os
import shutil
from pathlib import Path

from fastapi import HTTPException, UploadFile

from sqlalchemy.orm import Session
from common.common import get_source_format
from common.configuration import Configuration
from common.constants import PROCESSING_FORMATS
from components.parser.xml.xml_parser import XMLParser
from components.dbo.models.dataset import Dataset
from components.dbo.models.dataset_document import DatasetDocument
from components.dbo.models.document import Document
from schemas.document import Document as DocumentSchema
from schemas.document import DocumentDownload
from components.services.dataset import DatasetService

logger = logging.getLogger(__name__)


class DocumentService:
    """
    Сервис для работы с документами.
    """

    def __init__(
        self,
        dataset_service: DatasetService,
        config: Configuration,
        db: Session
    ):
        logger.info("Initializing DocumentService")
        self.db = db
        self.dataset_service = dataset_service
        self.xml_parser = XMLParser()
        self.documents_path = Path(config.db_config.files.documents_path)

    def get_document(
        self,
        document_id: int,
        dataset_id: int | None = None,
    ) -> DocumentDownload:
        """
        Скачать документ по его идентификатору.
        """
        logger.info(f"Getting document info for ID: {document_id}")
        if dataset_id is None:
            dataset_id = self.dataset_service.get_current_dataset().dataset_id

        self.dataset_service.raise_if_processing()

        with self.db() as session:
            document_in_dataset = (
                session.query(DatasetDocument)
                .filter(
                    DatasetDocument.dataset_id == dataset_id,
                    DatasetDocument.document_id == document_id,
                )
                .first()
            )

            if not document_in_dataset:
                logger.warning(f"Document not found: {document_id}")
                raise HTTPException(status_code=404, detail="Document not found")

            document = (
                session.query(Document)
                .filter(
                    Document.id == document_id,
                )
                .first()
            )


        result = DocumentDownload(
            filename=f'{document.title[:40]}.{document.source_format}',
            filepath=self.documents_path
            / f'{document.document_id}.{document.source_format}',
        )

        logger.debug(f"Retrieved document: {result.filename}")
        return result

    def add_document(self, dataset_id: int, file: UploadFile) -> DocumentSchema:
        """
        Добавить документ в датасет.
        """

        self.dataset_service.raise_if_processing()

        file_location = Path.cwd() / 'tmp' / file.filename
        file_location.parent.mkdir(parents=True, exist_ok=True)
        with open(file_location, 'wb') as buffer:
            buffer.write(file.file.read())

        source_format = get_source_format(file.filename)

        logger.info(f"Parsing file: {file_location}")
        logger.info(f"Source format: {source_format}")

        try:
            parsed = self.xml_parser.parse(file_location, include_content=False)
        except Exception:
            raise HTTPException(
                status_code=400, detail="Invalid XML file, service can't parse it"
            )

        with self.db() as session:
            dataset = (
                session.query(Dataset).filter(Dataset.id == dataset_id).first()
            )
            if not dataset:
                raise HTTPException(status_code=404, detail='Dataset not found')

            if not dataset.is_draft:
                raise HTTPException(status_code=403, detail='Dataset is not draft')

            document = Document(
                title=parsed.name,
                owner=parsed.owner,
                status=parsed.status,
                source_format=source_format,
            )

            logger.info(f"Document: {document}")

            session.add(document)
            session.flush()

            logger.info(f"Document ID: {document.document_id}")

            link = DatasetDocument(
                dataset_id=dataset_id,
                document_id=document.document_id,
            )
            session.add(link)

            if source_format in PROCESSING_FORMATS:
                logger.info(
                    f"Moving file to: {self.documents_path / f'{document.document_id}.{source_format}'}"
                )
                shutil.move(
                    file_location,
                    self.documents_path / f'{document.document_id}.{source_format}',
                )
            else:
                logger.error(f"Unknown source format: {source_format}")
                raise HTTPException(status_code=400, detail='Unknown document format')

            if len(os.listdir(file_location.parent)) == 0:
                file_location.parent.rmdir()

            session.commit()
            session.refresh(document)

        result = DocumentSchema(
            id=document.document_id,
            name=document.title,
            owner=document.owner,
            status=document.status,
        )
        logger.debug(f"Retrieved document: {result.name}")
        return result

    def delete_document(self, dataset_id: int, document_id: int) -> None:
        """
        Удалить документ из датасета.
        """

        self.dataset_service.raise_if_processing()

        with self.db() as session:
            dataset_document = (
                session.query(DatasetDocument)
                .filter(
                    DatasetDocument.dataset_id == dataset_id,
                    DatasetDocument.document_id == document_id,
                )
                .first()
            )

            if not dataset_document:
                raise HTTPException(status_code=404, detail='Document not found')

            dataset = (
                session.query(Dataset).filter(Dataset.id == dataset_id).first()
            )

            if not dataset.is_draft:
                raise HTTPException(status_code=403, detail='Dataset is not draft')

            document = (
                session.query(Document).filter(Document.id == document_id).first()
            )
            is_used = (
                session.query(DatasetDocument)
                .filter(DatasetDocument.document_id == document_id)
                .count()
            )
            if is_used == 0:
                os.remove(self.documents_path / f'{document_id}.{document.source_format}')
                session.delete(document)

            session.delete(dataset_document)
            session.commit()