

def main():
    ni = NI.NDIngest()
    '\n    Edit the below values, type and default information can be found on the ingesting page of the ndio docs page.\n    '
    dataset_name = 'hbp16'
    imagesize = (7389, 6572, 50)
    voxelres = (1.0, 1.0, 1.0)
    offset = (0, 0, 0)
    timerange = (0, 0)
    scalinglevels = 3
    scaling = 0
    channel_name = 'image'
    datatype = 'uint8'
    channel_type = 'Image'
    exceptions = 0
    resolution = 0
    windowrange = (0, 0)
    readonly = 0
    data_url = 'http://neurodata-public.s3.amazonaws.com'
    file_format = 'SLICE'
    file_type = 'jpg'
    project_name = ''
    token_name = ''
    public = 0
    metadata = ''
    ni.add_dataset(dataset_name, imagesize, voxelres, offset, timerange, scalinglevels, scaling)
    ni.add_project(project_name, token_name, public)
    ni.add_channel(channel_name, datatype, channel_type, data_url, file_format, file_type, exceptions, resolution, windowrange, readonly)
    '\n    If you wish to add additional channels to the object, simply call the\n    add_channel function for as many channels as you have\n    '
    ni.add_metadata(metadata)
    '\n    EDIT ABOVE HERE\n    '
    ni.post_data(SITE_HOST)

dataset/ETHPy150Open neurodata/ndstore/ingest/autoingest/generatejson.py main/original