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# coding: utf-8
from datetime import datetime
import numpy.random
from tomoscan.io import HDF5File
class MockDxFile:
"""
Mock DXFile
"""
def __init__(
self,
file_path,
n_projection,
n_darks,
n_flats,
det_height=128,
det_width=128,
data_path="/",
):
self._file_path = file_path
self._n_projection = n_projection
self._n_darks = n_darks
self._n_flats = n_flats
self._det_height = det_height
self._det_width = det_width
self._n_projection = n_projection
self.data_flat = None
self.data_proj = None
self.data_dark = None
with HDF5File(file_path, mode="w") as h5f:
root_grp = h5f.require_group(data_path)
exchange_grp = root_grp.require_group("exchange")
# create data
self.data_proj = self._create_random_frames(self._n_projection)
exchange_grp["data"] = self.data_proj
# create data_dark
if self._n_darks > 0:
self.data_dark = self._create_random_frames(self._n_darks)
exchange_grp["data_dark"] = self.data_dark
# create data_white
if self._n_flats > 0:
self.data_flat = self._create_random_frames(self._n_flats)
exchange_grp["data_white"] = self.data_flat
root_grp["file_creation_datetime"] = str(datetime.now())
# for now some information are not mock and used like
# exposure_period, x_binning, roi... did not had a concrete
# example about it
def _create_random_frames(self, n_frames):
data = numpy.random.random(self._det_height * self._det_width * n_frames) * 256
data = data.astype(numpy.uint16)
return data.reshape((n_frames, self._det_height, self._det_width))
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