Source code for neuroconv.datainterfaces.ophys.sbx.sbxdatainterface

import warnings
from typing import Literal

from pydantic import FilePath, validate_call

from ..baseimagingextractorinterface import BaseImagingExtractorInterface
from ....utils import DeepDict


[docs] class SbxImagingInterface(BaseImagingExtractorInterface): """Data Interface for SbxImagingExtractor.""" display_name = "Scanbox Imaging" associated_suffixes = (".sbx",) info = "Interface for Scanbox imaging data."
[docs] @classmethod def get_extractor_class(cls): from roiextractors import SbxImagingExtractor return SbxImagingExtractor
@validate_call def __init__( self, file_path: FilePath, *args, # TODO: change to * (keyword only) on or after August 2026 sampling_frequency: float | None = None, verbose: bool = False, photon_series_type: Literal["OnePhotonSeries", "TwoPhotonSeries"] = "TwoPhotonSeries", ): """ Parameters ---------- file_path : FilePath Path to .sbx file. sampling_frequency : float, optional verbose : bool, default: False """ # Handle deprecated positional arguments if args: parameter_names = [ "sampling_frequency", "verbose", "photon_series_type", ] num_positional_args_before_args = 1 # file_path if len(args) > len(parameter_names): raise TypeError( f"__init__() takes at most {len(parameter_names) + num_positional_args_before_args + 1} positional arguments but " f"{len(args) + num_positional_args_before_args + 1} were given. " "Note: Positional arguments are deprecated and will be removed on or after August 2026. " "Please use keyword arguments." ) positional_values = dict(zip(parameter_names, args)) passed_as_positional = list(positional_values.keys()) warnings.warn( f"Passing arguments positionally to SbxImagingInterface.__init__() is deprecated " f"and will be removed on or after August 2026. " f"The following arguments were passed positionally: {passed_as_positional}. " "Please use keyword arguments instead.", FutureWarning, stacklevel=2, ) sampling_frequency = positional_values.get("sampling_frequency", sampling_frequency) verbose = positional_values.get("verbose", verbose) photon_series_type = positional_values.get("photon_series_type", photon_series_type) super().__init__( file_path=file_path, sampling_frequency=sampling_frequency, verbose=verbose, photon_series_type=photon_series_type, )
[docs] def get_metadata(self) -> DeepDict: """ Get metadata for the Scanbox imaging data. Returns ------- dict Dictionary containing metadata including device information and imaging details specific to the Scanbox system. """ metadata = super().get_metadata() metadata["Ophys"]["Device"][0]["description"] = "Scanbox imaging" return metadata