"""Load RT-DC datasets"""
import io
import pathlib
from .core import RTDCBase
from . import fmt_s3, fmt_dict, fmt_dcor, fmt_hdf5, fmt_tdms, fmt_hierarchy
def load_file(path, identifier=None, **kwargs):
path = pathlib.Path(path).resolve()
for fmt in [fmt_hdf5.RTDC_HDF5, fmt_tdms.RTDC_TDMS]:
if fmt.can_open(path):
return fmt(path, identifier=identifier, **kwargs)
else:
raise ValueError("Unknown file format: '{}'".format(path.suffix))
[docs]def new_dataset(data, identifier=None, **kwargs):
"""Initialize a new RT-DC dataset
Parameters
----------
data:
can be one of the following:
- dict
- .tdms file
- .rtdc file
- subclass of `RTDCBase`
(will create a hierarchy child)
- DCOR resource URL
identifier: str
A unique identifier for this dataset. If set to `None`
an identifier is generated.
kwargs: dict
Additional parameters passed to the RTDCBase subclass
Returns
-------
dataset: subclass of :class:`dclab.rtdc_dataset.RTDCBase`
A new dataset instance
"""
if isinstance(data, dict):
return fmt_dict.RTDC_Dict(data, identifier=identifier, **kwargs)
elif isinstance(data, io.BytesIO):
return fmt_hdf5.RTDC_HDF5(data, **kwargs)
elif fmt_dcor.is_dcor_url(data):
return fmt_dcor.RTDC_DCOR(data, identifier=identifier, **kwargs)
elif fmt_s3.is_s3_url(data):
return fmt_s3.RTDC_S3(data, identifier=identifier, **kwargs)
elif isinstance(data, RTDCBase):
return fmt_hierarchy.RTDC_Hierarchy(data, identifier=identifier,
**kwargs)
elif isinstance(data, (pathlib.Path, str)):
path = pathlib.Path(data).resolve()
if not path.exists():
raise FileNotFoundError(f"Could not find file '{path}'!")
else:
return load_file(data, identifier=identifier, **kwargs)
else:
msg = "data type not supported: {}".format(data.__class__)
raise NotImplementedError(msg)