mirror of
https://github.com/slsdetectorgroup/slsDetectorPackage.git
synced 2025-04-20 02:40:03 +02:00
110 lines
3.1 KiB
Python
Executable File
110 lines
3.1 KiB
Python
Executable File
from .detector_property import DetectorProperty
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from functools import partial
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import numpy as np
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import _slsdet
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from .detector import freeze
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dacIndex = _slsdet.slsDetectorDefs.dacIndex
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class Dac(DetectorProperty):
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"""
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This class represents a dac on the detector. One instance handles all
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dacs with the same name for a multi detector instance.
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.. note ::
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This class is used to build up DetectorDacs and is in general
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not directly accessed to the user.
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"""
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def __init__(self, name, enum, low, high, default, detector):
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super().__init__(partial(detector.getDAC, enum, False),
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lambda x, y : detector.setDAC(enum, x, False, y),
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detector.size,
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name)
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self.min_value = low
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self.max_value = high
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self.default = default
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def __repr__(self):
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"""String representation for a single dac in all modules"""
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dacstr = ''.join([f'{item:5d}' for item in self.get()])
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return f'{self.__name__:10s}:{dacstr}'
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class DetectorDacs:
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_dacs = []
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_dacnames = [_d[0] for _d in _dacs]
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_allowed_attr = ['_detector', '_current']
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_frozen = False
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def __init__(self, detector):
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# We need to at least initially know which detector we are connected to
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self._detector = detector
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# Index to support iteration
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self._current = 0
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# Populate the dacs
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for _d in self._dacs:
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setattr(self, '_'+_d[0], Dac(*_d, detector))
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self._frozen = True
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def __getattr__(self, name):
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return self.__getattribute__('_' + name)
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def __setattr__(self, name, value):
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if name in self._dacnames:
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return self.__getattribute__('_' + name).__setitem__(slice(None, None, None), value)
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else:
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if self._frozen == True and name not in self._allowed_attr:
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raise AttributeError(f'Dac not found: {name}')
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super().__setattr__(name, value)
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def __next__(self):
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if self._current >= len(self._dacs):
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self._current = 0
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raise StopIteration
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else:
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self._current += 1
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return self.__getattr__(self._dacnames[self._current-1])
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def __iter__(self):
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return self
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def __repr__(self):
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r_str = ['========== DACS =========']
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r_str += [repr(dac) for dac in self]
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return '\n'.join(r_str)
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def get_asarray(self):
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"""
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Read the dacs into a numpy array with dimensions [ndacs, nmodules]
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"""
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dac_array = np.zeros((len(self._dacs), len(self._detector)))
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for i, _d in enumerate(self):
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dac_array[i,:] = _d[:]
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return dac_array
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def set_from_array(self, dac_array):
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"""
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Set the dacs from an numpy array with dac values. [ndacs, nmodules]
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"""
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dac_array = dac_array.astype(np.int)
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for i, _d in enumerate(self):
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_d[:] = dac_array[i]
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def set_default(self):
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"""
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Set all dacs to their default values
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"""
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for _d in self:
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_d[:] = _d.default
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