ingestimages.py

class Command(BaseCommand):
    """
    This script runs the first part of the pipeline only. It ingests a set of
    images into the database along with their measurements.
    """
    help = (
        'Ingest/add a set of images to the database'
    )

    def add_arguments(self, parser: ArgumentParser) -> None:
        """
        Enables arguments for the command.

        Args:
            parser (ArgumentParser): The parser object of the command.

        Returns:
            None
        """
        parser.add_argument(
            'image_ingest_config',
            nargs=1,
            type=str,
            help=('Image ingestion configuration filename/path.')
        )

    def handle(self, *args, **options) -> None:
        """
        Handle function of the command.

        Args:
            *args: Variable length argument list.
            **options: Variable length options.

        Returns:
            None
        """
        # configure logging
        if options['verbosity'] > 1:
            # set root logger to use the DEBUG level
            root_logger = logging.getLogger('')
            root_logger.setLevel(logging.DEBUG)
            # set the traceback on
            options['traceback'] = True

        # Create image ingestion configuration object from input file
        image_config = ImageIngestConfig.from_file(
            options['image_ingest_config'][0], validate=False
        )

        # Validate the config
        try:
            image_config.validate()
        except PipelineConfigError as e:
            raise CommandError(e)

        if image_config.image_opts()['condon_errors']:
            logger.warning(
                "You have selected condon_errors=True. "
                "Using the Condon uncertainties will overwrite those provide "
                "by the input catalogue and should not be used if you have "
                "applied any corrections to the input catalogues, or if you "
                "trust their uncertainties."
                )
            logger.warning(
                "The Condon uncertainties only account for the statistical "
                "component of the uncertainty - any systematic uncertainty"
                "should be taken into account using the ra_uncertainty and "
                "dec_uncertainty parameters in the config file."
                )
        # Create a dummy Pipeline instance using the given image ingestion configuration options
        d = _DummyPipeline(image_config)

        # Read, measure and upload the images listed in the image ingestion config
        make_upload_images(d.img_paths,image_config.image_opts())