Source code for neuroconv.datainterfaces.ecephys.alphaomega.alphaomegadatainterface

from pydantic import DirectoryPath

from ..baserecordingextractorinterface import BaseRecordingExtractorInterface
from ....utils import DeepDict




class AlphaOmegaRecordingInterface(BaseRecordingExtractorInterface):
    """
    Primary data interface class for converting AlphaOmega recording data.

    Uses the :py:func:`~spikeinterface.extractors.read_alphaomega` reader from SpikeInterface.
    """

    display_name = "AlphaOmega Recording"
    associated_suffixes = (".mpx",)
    info = "Interface class for converting AlphaOmega recording data."
    stream_id = "RAW"



    @classmethod
    def get_source_schema(cls) -> dict:
        source_schema = super().get_source_schema()
        source_schema["properties"]["folder_path"]["description"] = "Path to the folder of .mpx files."
        return source_schema




    @classmethod
    def get_extractor_class(cls):
        from spikeinterface.extractors.extractor_classes import (
            AlphaOmegaRecordingExtractor,
        )

        return AlphaOmegaRecordingExtractor


    def _initialize_extractor(self, interface_kwargs: dict):
        """Override to add stream_id parameter."""
        self.extractor_kwargs = interface_kwargs.copy()
        self.extractor_kwargs.pop("verbose", None)
        self.extractor_kwargs.pop("es_key", None)
        self.extractor_kwargs["stream_id"] = self.stream_id
        extractor_class = self.get_extractor_class()
        extractor_instance = extractor_class(**self.extractor_kwargs)
        return extractor_instance

    def __init__(self, folder_path: DirectoryPath, verbose: bool = False, es_key: str = "ElectricalSeries"):
        """
        Load and prepare data for AlphaOmega.

        Parameters
        ----------
        folder_path: string or Path
            Path to the folder of .mpx files.
        verbose: boolean
            Allows verbose.
            Default is False.
        es_key: str, default: "ElectricalSeries"
        """
        super().__init__(folder_path=folder_path, verbose=verbose, es_key=es_key)



    def get_metadata(self) -> DeepDict:
        metadata = super().get_metadata()
        annotation = self.recording_extractor.neo_reader.raw_annotations
        metadata["NWBFile"].update(session_start_time=annotation["blocks"][0]["rec_datetime"])
        return metadata