71 lines
2.8 KiB
Python
71 lines
2.8 KiB
Python
"""
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Class to handle Orso header information that changes gradually during the reduction process.
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"""
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import platform
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import sys
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from datetime import datetime
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from typing import List, Literal
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from orsopy import fileio
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from . import __version__
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class Header:
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"""orso compatible output file header content"""
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owner: fileio.Person
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experiment: fileio.Experiment
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sample: fileio.Sample
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measurement_instrument_settings: fileio.InstrumentSettings
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measurement_scheme: Literal["angle- and energy-dispersive", "angle-dispersive", "energy-dispersive"]
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measurement_data_files: List[fileio.File]
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measurement_additional_files: List[fileio.File]
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def __init__(self):
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self.measurement_data_files = []
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self.measurement_additional_files = []
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self.reduction = fileio.Reduction(
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software = fileio.Software('eos', version=__version__),
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call = 'placeholder',
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computer = platform.node(),
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timestamp = datetime.now(),
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creator = None,
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corrections = ['histogramming in lambda and alpha_f',
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'gravity'],
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)
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#-------------------------------------------------------------------------------------------------
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def data_source(self):
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return fileio.DataSource(
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self.owner,
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self.experiment,
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self.sample,
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fileio.Measurement(
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instrument_settings = self.measurement_instrument_settings,
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scheme = self.measurement_scheme,
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data_files = self.measurement_data_files,
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additional_files = self.measurement_additional_files,
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),
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)
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#-------------------------------------------------------------------------------------------------
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def columns(self):
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cols = [
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fileio.Column('Qz', '1/angstrom', 'normal momentum transfer'),
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fileio.Column('R', '', 'specular reflectivity'),
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fileio.ErrorColumn(error_of='R', error_type='uncertainty', distribution='gaussian', value_is='sigma'),
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fileio.ErrorColumn(error_of='Qz', error_type='resolution', distribution='gaussian', value_is='sigma'),
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]
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return cols
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#-------------------------------------------------------------------------------------------------
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def orso_header(self, columns=None, extra_columns=[]):
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"""
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Generate ORSO header from a copy of this class' data.
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"""
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ds = fileio.DataSource.from_dict(self.data_source().to_dict())
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red = fileio.Reduction.from_dict(self.reduction.to_dict())
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if columns is None:
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columns = self.columns()
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return fileio.Orso(ds, red, columns+extra_columns)
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