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File path not found sorting in container

See original GitHub issue

The filepats of my recording is not found when running sorting algorithm using a docker file.

sorting_TDC = ss.run_tridesclous(
    recording,
    output_folder="tridesclous_output",
    docker_image="spikeinterface/tridesclous-base:1.6.4",
)

The way it tries to find it is by using this method (see #L170-L207)

def find_recording_folder(d):
    if "kwargs" in d.keys():
        # handle nested
        kwargs = d["kwargs"]
        nested_extractor_dict = None
        for k, v in kwargs.items():
            if isinstance(v, dict) and is_dict_extractor(v):
                nested_extractor_dict = v
        if nested_extractor_dict is None:
            folder_to_mount = find_recording_folder(kwargs)
        else:
            folder_to_mount = find_recording_folder(nested_extractor_dict)
        return folder_to_mount
    else:
        for k, v in d.items():
            if "path" in k:
                # paths can be str or list of str
                if isinstance(v, str):
                    # one path
                    abs_path = Path(v)
                    if abs_path.is_file():
                        folder_to_mount = abs_path.parent
                    elif abs_path.is_dir():
                        folder_to_mount = abs_path
                elif isinstance(v, list):
                    # list of path
                    relative_paths = []
                    folder_to_mount = None
                    for abs_path in v:
                        abs_path = Path(abs_path)
                        if folder_to_mount is None:
                            folder_to_mount = abs_path.parent
                        else:
                            assert folder_to_mount == abs_path.parent
                else:
                    raise ValueError(
                        f'{k} key for path  must be str or list[str]')
            return folder_to_mount

But that gives me the following error: UnboundLocalError: local variable 'folder_to_mount' referenced before assignment

d in my case (neuropixel 2.0 dual recording) looks like this:

{'class': 'spikeinterface.extractors.neoextractors.openephys.OpenEphysBinaryRecordingExtractor',
 'module': 'spikeinterface',
 'kwargs': {'all_annotations': False,
  'stream_id': '0',
  'folder_path': '/Volumes/FK_Fileserver1/Project_NP_optogenetics/data/raw/NP6/2022-06-29_17-15-43'},
 'dumpable': True,
 'version': '0.94.1.dev0',

So I think the line return folder_to_mount should be one tab up or outside the for loop 😃