<reponame>gold-standard-phantoms/asldro
""" NIFTI file loader filter """
import os
import nibabel as nib

from asldro.containers.image import NiftiImageContainer
from asldro.filters.basefilter import BaseFilter, FilterInputValidationError


class NiftiLoaderFilter(BaseFilter):
    """ A filter for loading a NIFTI image from a file.

    Must have a single string input named 'filename'.

    Creates a single Image container as an output named
    'image'
    """

    def __init__(self):
        super().__init__("NiftiLoader")

    def _run(self):
        """ Load the input `filename` using nibabel and create
        a Image container from it. Put this in the output named
        `image`. """

        self.outputs["image"] = NiftiImageContainer(
            nifti_img=nib.load(self.inputs["filename"])
        )

    def _validate_inputs(self):
        """ There must be an input named `filename`.
        It must end in .nii or .nii.gz. It must
        point to a existing file. """

        if self.inputs.get("filename", None) is None:
            raise FilterInputValidationError(
                "NiftiLoader filter requires a `filename` input"
            )
        if not isinstance(self.inputs["filename"], str):
            raise FilterInputValidationError(
                "NiftiLoader filter `filename` input must be a string"
            )
        if not self.inputs["filename"].endswith((".nii", ".nii.gz")):
            raise FilterInputValidationError(
                "NiftiLoader filter `filename` must be a .nii or .nii.gz file"
            )

        if not (
            os.path.exists(self.inputs["filename"])
            and os.path.isfile(self.inputs["filename"])
        ):
            raise FilterInputValidationError(
                f"{self.inputs['filename']} does not exist"
            )

""" NIFTI file loader filter """
import os
import nibabel as nib

from asldro.containers.image import NiftiImageContainer
from asldro.filters.basefilter import BaseFilter, FilterInputValidationError


class NiftiLoaderFilter(BaseFilter):
    """ A filter for loading a NIFTI image from a file.

    Must have a single string input named 'filename'.

    Creates a single Image container as an output named
    'image'
    """

    def __init__(self):
        super().__init__("NiftiLoader")

    def _run(self):
        """ Load the input `filename` using nibabel and create
        a Image container from it. Put this in the output named
        `image`. """

        self.outputs["image"] = NiftiImageContainer(
            nifti_img=nib.load(self.inputs["filename"])
        )

    def _validate_inputs(self):
        """ There must be an input named `filename`.
        It must end in .nii or .nii.gz. It must
        point to a existing file. """

        if self.inputs.get("filename", None) is None:
            raise FilterInputValidationError(
                "NiftiLoader filter requires a `filename` input"
            )
        if not isinstance(self.inputs["filename"], str):
            raise FilterInputValidationError(
                "NiftiLoader filter `filename` input must be a string"
            )
        if not self.inputs["filename"].endswith((".nii", ".nii.gz")):
            raise FilterInputValidationError(
                "NiftiLoader filter `filename` must be a .nii or .nii.gz file"
            )

        if not (
            os.path.exists(self.inputs["filename"])
            and os.path.isfile(self.inputs["filename"])
        ):
            raise FilterInputValidationError(
                f"{self.inputs['filename']} does not exist"
            )
NIFTI file loader filter A filter for loading a NIFTI image from a file.      Must have a single string input named 'filename'.      Creates a single Image container as an output named     'image' Load the input `filename` using nibabel and create         a Image container from it. Put this in the output named         `image`. There must be an input named `filename`.         It must end in .nii or .nii.gz. It must         point to a existing file.