darfix.core.datapathfinder.DataPathFinder

class darfix.core.datapathfinder.DataPathFinder(file_, pattern, filter_entries=None, allowed_keywords=('{scan}', '{first_scan}', '{last_scan}', '{detector}'))

Bases: object

Util class to format path from a provided pattern At the moment it allows the following keywords: * {scan}: will replace the ‘{scan}’ by an HDF5 first level group name * {first_scan}: will replace the ‘{first_scan}’ by the first HDF5 group of the list * {last_scan}: will replace the ‘{last_scan}’ by the first HDF5 group of the list * {detector}: will try to detect automatically the dataset to be used as detector

Parameters:

• file_ (str | h5py.File)

• pattern (str)

• filter_entries (tuple | None)

• allowed_keywords (tuple)

property allowed_keywords: tuple

property can_be_solved: bool

static check_is_a_3d_dataset(dataset)

Parameters:

dataset (h5py.Dataset | h5py.Group)

property file: str | h5py.File

static find_detector_dataset(group, check_nexus_metadata=None)

browse all datasets / groups in the group and return the dataset the most likely to be the detector dataset.

Parameters:

• group (h5py.Group) – HDF5 group containing all elements to check.

• check_nexus_metadata (bool | None) – policy regarding checking possible metadata. * If True will return the first ‘data’ dataset contained in a group identified as an ‘NXdetector’ and being 3D. * If False will return the first 3D dataset found (can be in a sub group if named ‘data’) * If None then will look first for detector with nexus metadata else without

Return type:

Optional[h5py.Dataset]

format(scan, first_scan, last_scan)

Once the class is instanciated we can call the ‘format’ function to replace keywords by the scan, first_scan, last_scan values

Parameters:

• scan (str | None)

• first_scan (str | None)

• last_scan (str | None)

Return type:

str | None

static format_str_for_scans_keywords(my_str, scan, first_scan, last_scan)

Parameters:

• my_str (str)

• scan (str | None)

• first_scan (str | None)

• last_scan (str | None)

static from_found_detector_dataset_to_pattern(detector_dataset, scan_path)

Recreate the ‘detector_dataset’ pattern like ‘/{scan}/path/to/detectors/groups/detector’ from the path of the detector for a specific entry (“scan_path”) ‘existing’ pattern like ‘/{scan}/path/to/detectors/groups/detector/data’ or ‘/{scan}/path/to/detectors/groups/detector_data’

Parameters:

• detector_dataset (str)

• scan_path (str)

static get_detector(elmt, check_nexus_metadata)

Parameters:

• elmt (h5py.Dataset | h5py.Group)

• check_nexus_metadata (bool)

Return type:

Optional[h5py.Dataset]

property pattern: str