meta

meta is a python library providing support for the meta data reading from a file. Currently meta support only hdf but other format meta-data extraction can be added using the same model.

At the Advanced Photon Source Imaging Group beamlines (2-BM, 7-BM and 32-ID) meta supports:

• meta cli
• tomolog cli
• tile

Installation

$ git clone https://github.com/xray-imaging/meta.git
$ cd meta
$ python setup.py install

in a prepared virtualenv or as root for system-wide installation.

Warning

If your python installation is in a location different from #!/usr/bin/env python please edit the first line of the bin/meta file to match yours.

Dependencies

• h5py
• numpy
• collections

Example

Here is an example of how to use meta to transfer the full hdf meta data layout of a DXFile tomographic data set from one hdf file to another.

import meta
import h5py

file_name_raw = 'data.h5'
file_name_rec = 'data_new.h5'

# To use it:
mp = meta.read_meta.Hdf5MetadataReader(file_name_raw)
meta_dict = mp.readMetadata()
mp.close()

hf = h5py.File(file_name_rec, 'w')
for key, value in meta_dict.items():
    # print(key, value)
    dset = hf.create_dataset(key, data=value[0])
    if value[1] is not None:
        dset.attrs['units'] = value[1]

hf.close()