annotate CHAP/models/map.py @ 10:7cc954f15149 draft

planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline/tree/galaxy commit 2d65c72740d0439b8385378a890b3763d717f152-dirty
author kls286
date Wed, 29 Mar 2023 17:53:07 +0000
parents cbbe42422d56
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1 from functools import cache, lru_cache
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2 import os
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3 from typing import Literal, Optional, Union
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4
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5 import numpy as np
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6 from pydantic import (BaseModel,
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7 conint,
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8 conlist,
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9 confloat,
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10 constr,
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11 FilePath,
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12 PrivateAttr,
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13 ValidationError,
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14 validator)
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15 from pyspec.file.spec import FileSpec
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16
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17 class Sample(BaseModel):
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18 """
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19 Class representing a sample metadata configuration.
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20
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21 :ivar name: The name of the sample.
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22 :type name: str
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23 :ivar description: A description of the sample.
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24 :type description: Optional[str]
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25 """
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26 name: constr(min_length=1)
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27 description: Optional[str]
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28
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29 class SpecScans(BaseModel):
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30 """
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31 Class representing a set of scans from a single SPEC file.
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32
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33 :ivar spec_file: Path to the SPEC file.
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34 :type spec_file: str
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35 :ivar scan_numbers: List of scan numbers to use.
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36 :type scan_numbers: list[int]
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37 """
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38 spec_file: FilePath
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39 scan_numbers: conlist(item_type=conint(gt=0), min_items=1)
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40 @validator('spec_file', allow_reuse=True)
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41 def validate_spec_file(cls, spec_file):
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42 """
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43 Validate the specified SPEC file.
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44
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45 :param spec_file: Path to the SPEC file.
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46 :type spec_file: str
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47 :raises ValueError: If the SPEC file is invalid.
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48 :return: Absolute path to the SPEC file, if it is valid.
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49 :rtype: str
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50 """
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51 try:
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52 spec_file = os.path.abspath(spec_file)
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53 sspec_file = FileSpec(spec_file)
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54 except:
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55 raise(ValueError(f'Invalid SPEC file {spec_file}'))
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56 else:
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57 return(spec_file)
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58 @validator('scan_numbers', allow_reuse=True)
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59 def validate_scan_numbers(cls, scan_numbers, values):
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60 """
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61 Validate the specified list of scan numbers.
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62
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63 :param scan_numbers: List of scan numbers.
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64 :type scan_numbers: list of int
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65 :param values: Dictionary of values for all fields of the model.
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66 :type values: dict
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67 :raises ValueError: If a specified scan number is not found in the SPEC file.
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68 :return: List of scan numbers.
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69 :rtype: list of int
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70 """
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71 spec_file = values.get('spec_file')
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72 if spec_file is not None:
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73 spec_scans = FileSpec(spec_file)
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74 for scan_number in scan_numbers:
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75 scan = spec_scans.get_scan_by_number(scan_number)
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76 if scan is None:
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77 raise(ValueError(f'There is no scan number {scan_number} in {spec_file}'))
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78 return(scan_numbers)
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79
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80 @property
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81 def scanparsers(self):
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82 '''A list of `ScanParser`s for each of the scans specified by the SPEC
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83 file and scan numbers belonging to this instance of `SpecScans`
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84 '''
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85 return([self.get_scanparser(scan_no) for scan_no in self.scan_numbers])
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86
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87 def get_scanparser(self, scan_number):
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88 """This method returns a `ScanParser` for the specified scan number in
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89 the specified SPEC file.
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90
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91 :param scan_number: Scan number to get a `ScanParser` for
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92 :type scan_number: int
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93 :return: `ScanParser` for the specified scan number
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94 :rtype: ScanParser
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95 """
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96 return(get_scanparser(self.spec_file, scan_number))
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97 def get_index(self, scan_number:int, scan_step_index:int, map_config):
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98 """This method returns a tuple representing the index of a specific step
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99 in a specific spec scan within a map.
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100
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101 :param scan_number: Scan number to get index for
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102 :type scan_number: int
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103 :param scan_step_index: Scan step index to get index for
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104 :type scan_step_index: int
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105 :param map_config: Map configuration to get index for
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106 :type map_config: MapConfig
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107 :return: Index for the specified scan number and scan step index within
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108 the specified map configuration
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109 :rtype: tuple
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110 """
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111 index = ()
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112 for independent_dimension in map_config.independent_dimensions:
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113 coordinate_index = list(map_config.coords[independent_dimension.label]).index(independent_dimension.get_value(self, scan_number, scan_step_index))
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114 index = (coordinate_index, *index)
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115 return(index)
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116 def get_detector_data(self, detectors:list, scan_number:int, scan_step_index:int):
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117 """
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118 Return the raw data from the specified detectors at the specified scan
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119 number and scan step index.
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120
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121 :param detectors: List of detector prefixes to get raw data for
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122 :type detectors: list[str]
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123 :param scan_number: Scan number to get data for
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124 :type scan_number: int
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125 :param scan_step_index: Scan step index to get data for
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126 :type scan_step_index: int
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127 :return: Data from the specified detectors for the specified scan number
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128 and scan step index
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129 :rtype: list[np.ndarray]
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130 """
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131 return(get_detector_data(tuple([detector.prefix for detector in detectors]), self.spec_file, scan_number, scan_step_index))
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132 @cache
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133 def get_available_scan_numbers(spec_file:str):
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134 scans = FileSpec(spec_file).scans
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135 scan_numbers = list(scans.keys())
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136 return(scan_numbers)
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137 @cache
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138 def get_scanparser(spec_file:str, scan_number:int):
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139 if scan_number not in get_available_scan_numbers(spec_file):
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140 return(None)
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141 else:
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142 return(ScanParser(spec_file, scan_number))
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143 @lru_cache(maxsize=10)
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144 def get_detector_data(detector_prefixes:tuple, spec_file:str, scan_number:int, scan_step_index:int):
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145 detector_data = []
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146 scanparser = get_scanparser(spec_file, scan_number)
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147 for prefix in detector_prefixes:
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148 image_data = scanparser.get_detector_data(prefix, scan_step_index)
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149 detector_data.append(image_data)
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150 return(detector_data)
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151
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152 class PointByPointScanData(BaseModel):
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153 """Class representing a source of raw scalar-valued data for which a value
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154 was recorded at every point in a `MapConfig`.
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155
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156 :ivar label: A user-defined label for referring to this data in the NeXus
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157 file and in other tools.
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158 :type label: str
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159 :ivar units: The units in which the data were recorded.
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160 :type units: str
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161 :ivar data_type: Represents how these data were recorded at time of data
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162 collection.
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163 :type data_type: Literal['spec_motor', 'scan_column', 'smb_par']
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164 :ivar name: Represents the name with which these raw data were recorded at
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165 time of data collection.
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166 :type name: str
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167 """
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168 label: constr(min_length=1)
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169 units: constr(strip_whitespace=True, min_length=1)
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170 data_type: Literal['spec_motor', 'scan_column', 'smb_par']
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171 name: constr(strip_whitespace=True, min_length=1)
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172 @validator('label')
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173 def validate_label(cls, label):
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174 """Validate that the supplied `label` does not conflict with any of the
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175 values for `label` reserved for certain data needed to perform
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176 corrections.
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177
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178 :param label: The value of `label` to validate
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179 :type label: str
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180 :raises ValueError: If `label` is one of the reserved values.
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181 :return: The original supplied value `label`, if it is allowed.
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182 :rtype: str
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183 """
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184 #if (not issubclass(cls,CorrectionsData)) and label in CorrectionsData.__fields__['label'].type_.__args__:
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185 if (not issubclass(cls,CorrectionsData)) and label in CorrectionsData.reserved_labels():
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186 raise(ValueError(f'{cls.__name__}.label may not be any of the following reserved values: {CorrectionsData.reserved_labels()}'))
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187 return(label)
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188 def validate_for_station(self, station:str):
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189 """Validate this instance of `PointByPointScanData` for a certain choice
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190 of station (beamline).
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191
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192 :param station: The name of the station (in 'idxx' format).
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193 :type station: str
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194 :raises TypeError: If the station is not compatible with the value of the
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195 `data_type` attribute for this instance of PointByPointScanData.
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196 :return: None
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197 :rtype: None
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198 """
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199 if station.lower() not in ('id1a3', 'id3a') and self.data_type == 'smb_par':
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200 raise(TypeError(f'{self.__class__.__name__}.data_type may not be "smb_par" when station is "{station}"'))
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201 def validate_for_spec_scans(self, spec_scans:list[SpecScans], scan_step_index:Union[Literal['all'],int]='all'):
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202 """Validate this instance of `PointByPointScanData` for a list of
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203 `SpecScans`.
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204
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205 :param spec_scans: A list of `SpecScans` whose raw data will be checked
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206 for the presence of the data represented by this instance of
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207 `PointByPointScanData`
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208 :type spec_scans: list[SpecScans]
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209 :param scan_step_index: A specific scan step index to validate, defaults
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210 to `'all'`.
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211 :type scan_step_index: Union[Literal['all'],int], optional
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212 :raises RuntimeError: If the data represented by this instance of
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213 `PointByPointScanData` is missing for the specified scan steps.
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214 :return: None
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215 :rtype: None
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216 """
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217 for scans in spec_scans:
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218 for scan_number in scans.scan_numbers:
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219 scanparser = scans.get_scanparser(scan_number)
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220 if scan_step_index == 'all':
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221 scan_step_index_range = range(scanparser.spec_scan_npts)
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222 else:
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223 scan_step_index_range = range(scan_step_index,scan_step_index+1)
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224 for scan_step_index in scan_step_index_range:
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225 try:
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226 self.get_value(scans, scan_number, scan_step_index)
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227 except:
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228 raise(RuntimeError(f'Could not find data for {self.name} (data_type "{self.data_type}") on scan number {scan_number} in spec file {scans.spec_file}'))
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229 def get_value(self, spec_scans:SpecScans, scan_number:int, scan_step_index:int):
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230 """Return the value recorded for this instance of `PointByPointScanData`
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231 at a specific scan step.
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232
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233 :param spec_scans: An instance of `SpecScans` in which the requested scan step occurs.
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234 :type spec_scans: SpecScans
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235 :param scan_number: The number of the scan in which the requested scan step occurs.
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236 :type scan_number: int
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237 :param scan_step_index: The index of the requested scan step.
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238 :type scan_step_index: int
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239 :return: The value recorded of the data represented by this instance of
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240 `PointByPointScanData` at the scan step requested
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241 :rtype: float
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242 """
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243 if self.data_type == 'spec_motor':
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244 return(get_spec_motor_value(spec_scans.spec_file, scan_number, scan_step_index, self.name))
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245 elif self.data_type == 'scan_column':
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246 return(get_spec_counter_value(spec_scans.spec_file, scan_number, scan_step_index, self.name))
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247 elif self.data_type == 'smb_par':
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248 return(get_smb_par_value(spec_scans.spec_file, scan_number, self.name))
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249 @cache
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250 def get_spec_motor_value(spec_file:str, scan_number:int, scan_step_index:int, spec_mnemonic:str):
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251 """Return the value recorded for a SPEC motor at a specific scan step.
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252
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253 :param spec_file: Location of a SPEC file in which the requested scan step occurs.
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254 :type spec_scans: str
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255 :param scan_number: The number of the scan in which the requested scan step occurs.
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256 :type scan_number: int
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257 :param scan_step_index: The index of the requested scan step.
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258 :type scan_step_index: int
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259 :param spec_mnemonic: The menmonic of a SPEC motor.
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260 :type spec_mnemonic: str
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261 :return: The value of the motor at the scan step requested
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262 :rtype: float
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263 """
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264 scanparser = get_scanparser(spec_file, scan_number)
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265 if spec_mnemonic in scanparser.spec_scan_motor_mnes:
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266 motor_i = scanparser.spec_scan_motor_mnes.index(spec_mnemonic)
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267 if scan_step_index >= 0:
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268 scan_step = np.unravel_index(scan_step_index, scanparser.spec_scan_shape, order='F')
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269 motor_value = scanparser.spec_scan_motor_vals[motor_i][scan_step[motor_i]]
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270 else:
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271 motor_value = scanparser.spec_scan_motor_vals[motor_i]
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272 else:
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273 motor_value = scanparser.get_spec_positioner_value(spec_mnemonic)
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274 return(motor_value)
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275 @cache
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276 def get_spec_counter_value(spec_file:str, scan_number:int, scan_step_index:int, spec_column_label:str):
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277 """Return the value recorded for a SPEC counter at a specific scan step.
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278
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279 :param spec_file: Location of a SPEC file in which the requested scan step occurs.
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280 :type spec_scans: str
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281 :param scan_number: The number of the scan in which the requested scan step occurs.
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282 :type scan_number: int
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283 :param scan_step_index: The index of the requested scan step.
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284 :type scan_step_index: int
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285 :param spec_column_label: The label of a SPEC data column.
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286 :type spec_column_label: str
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287 :return: The value of the counter at the scan step requested
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288 :rtype: float
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289 """
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290 scanparser = get_scanparser(spec_file, scan_number)
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291 if scan_step_index >= 0:
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292 return(scanparser.spec_scan_data[spec_column_label][scan_step_index])
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293 else:
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294 return(scanparser.spec_scan_data[spec_column_label])
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295 @cache
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296 def get_smb_par_value(spec_file:str, scan_number:int, par_name:str):
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297 """Return the value recorded for a specific scan in SMB-tyle .par file.
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298
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299 :param spec_file: Location of a SPEC file in which the requested scan step occurs.
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300 :type spec_scans: str
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301 :param scan_number: The number of the scan in which the requested scan step occurs.
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302 :type scan_number: int
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303 :param par_name: The name of the column in the .par file
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304 :type par_name: str
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305 :return: The value of the .par file value for the scan requested.
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306 :rtype: float
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307 """
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308 scanparser = get_scanparser(spec_file, scan_number)
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309 return(scanparser.pars[par_name])
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310 def validate_data_source_for_map_config(data_source, values):
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311 import_scanparser(values.get('station'), values.get('experiment_type'))
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312 data_source.validate_for_station(values.get('station'))
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313 data_source.validate_for_spec_scans(values.get('spec_scans'))
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314 return(data_source)
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315
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316 class CorrectionsData(PointByPointScanData):
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317 """Class representing the special instances of `PointByPointScanData` that
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318 are used by certain kinds of `CorrectionConfig` tools.
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319
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320 :ivar label: One of the reserved values required by `CorrectionConfig`,
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321 `'presample_intensity'`, `'postsample_intensity'`, or
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322 `'dwell_time_actual'`.
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323 :type label: Literal['presample_intensity','postsample_intensity','dwell_time_actual']
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324 :ivar units: The units in which the data were recorded.
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325 :type units: str
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326 :ivar data_type: Represents how these data were recorded at time of data
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327 collection.
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328 :type data_type: Literal['scan_column', 'smb_par']
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329 :ivar name: Represents the name with which these raw data were recorded at
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330 time of data collection.
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331 :type name: str
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332 """
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333 label: Literal['presample_intensity','postsample_intensity','dwell_time_actual']
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334 data_type: Literal['scan_column','smb_par']
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335 @classmethod
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336 def reserved_labels(cls):
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337 """Return a list of all the labels reserved for corrections-related
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338 scalar data.
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339
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340 :return: A list of reserved labels
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341 :rtype: list[str]
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342 """
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343 return(list(cls.__fields__['label'].type_.__args__))
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344 class PresampleIntensity(CorrectionsData):
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345 """Class representing a source of raw data for the intensity of the beam that
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346 is incident on the sample.
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347
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348 :ivar label: Must be `"presample_intensity"`
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349 :type label: Literal["presample_intensity"]
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350 :ivar units: Must be `"counts"`
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351 :type units: Literal["counts"]
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352 :ivar data_type: Represents how these data were recorded at time of data
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353 collection.
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354 :type data_type: Literal['scan_column', 'smb_par']
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355 :ivar name: Represents the name with which these raw data were recorded at
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356 time of data collection.
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357 :type name: str
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358 """
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359 label: Literal['presample_intensity'] = 'presample_intensity'
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360 units: Literal['counts'] = 'counts'
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361 class PostsampleIntensity(CorrectionsData):
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362 """Class representing a source of raw data for the intensity of the beam that
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363 has passed through the sample.
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364
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365 :ivar label: Must be `"postsample_intensity"`
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366 :type label: Literal["postsample_intensity"]
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367 :ivar units: Must be `"counts"`
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368 :type units: Literal["counts"]
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369 :ivar data_type: Represents how these data were recorded at time of data
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370 collection.
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371 :type data_type: Literal['scan_column', 'smb_par']
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372 :ivar name: Represents the name with which these raw data were recorded at
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373 time of data collection.
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374 :type name: str
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375 """
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376 label: Literal['postsample_intensity'] = 'postsample_intensity'
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377 units: Literal['counts'] = 'counts'
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378 class DwellTimeActual(CorrectionsData):
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379 """Class representing a source of raw data for the actual dwell time at each
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380 scan point in SPEC (with some scan types, this value can vary slightly
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381 point-to-point from the dwell time specified in the command).
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382
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383 :ivar label: Must be `"dwell_time_actual"`
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384 :type label: Literal["dwell_time_actual"]
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385 :ivar units: Must be `"counts"`
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386 :type units: Literal["counts"]
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387 :ivar data_type: Represents how these data were recorded at time of data
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388 collection.
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389 :type data_type: Literal['scan_column', 'smb_par']
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390 :ivar name: Represents the name with which these raw data were recorded at
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391 time of data collection.
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392 :type name: str
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393 """
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394 label: Literal['dwell_time_actual'] = 'dwell_time_actual'
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395 units: Literal['s'] = 's'
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396
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397 class MapConfig(BaseModel):
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398 """Class representing an experiment consisting of one or more SPEC scans.
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399
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400 :ivar title: The title for the map configuration.
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401 :type title: str
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402 :ivar station: The name of the station at which the map was collected.
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403 :type station: Literal['id1a3','id3a','id3b']
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404 :ivar spec_scans: A list of the spec scans that compose the map.
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405 :type spec_scans: list[SpecScans]
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406 :ivar independent_dimensions: A list of the sources of data representing the
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407 raw values of each independent dimension of the map.
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408 :type independent_dimensions: list[PointByPointScanData]
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409 :ivar presample_intensity: A source of point-by-point presample beam
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410 intensity data. Required when applying a CorrectionConfig tool.
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411 :type presample_intensity: Optional[PresampleIntensity]
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412 :ivar dwell_time_actual: A source of point-by-point actual dwell times for
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413 spec scans. Required when applying a CorrectionConfig tool.
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414 :type dwell_time_actual: Optional[DwellTimeActual]
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415 :ivar presample_intensity: A source of point-by-point postsample beam
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416 intensity data. Required when applying a CorrectionConfig tool with
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417 `correction_type="flux_absorption"` or
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418 `correction_type="flux_absorption_background"`.
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419 :type presample_intensity: Optional[PresampleIntensity]
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420 :ivar scalar_data: A list of the sources of data representing other scalar
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421 raw data values collected at each point ion the map. In the NeXus file
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422 representation of the map, datasets for these values will be included.
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423 :type scalar_values: Optional[list[PointByPointScanData]]
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424 """
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425 title: constr(strip_whitespace=True, min_length=1)
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426 station: Literal['id1a3','id3a','id3b']
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427 experiment_type: Literal['SAXSWAXS', 'EDD', 'XRF']
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428 sample: Sample
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429 spec_scans: conlist(item_type=SpecScans, min_items=1)
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430 independent_dimensions: conlist(item_type=PointByPointScanData, min_items=1)
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431 presample_intensity: Optional[PresampleIntensity]
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432 dwell_time_actual: Optional[DwellTimeActual]
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433 postsample_intensity: Optional[PostsampleIntensity]
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434 scalar_data: Optional[list[PointByPointScanData]] = []
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435 _coords: dict = PrivateAttr()
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436 _validate_independent_dimensions = validator('independent_dimensions', each_item=True, allow_reuse=True)(validate_data_source_for_map_config)
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437 _validate_presample_intensity = validator('presample_intensity', allow_reuse=True)(validate_data_source_for_map_config)
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438 _validate_dwell_time_actual = validator('dwell_time_actual', allow_reuse=True)(validate_data_source_for_map_config)
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439 _validate_postsample_intensity = validator('postsample_intensity', allow_reuse=True)(validate_data_source_for_map_config)
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440 _validate_scalar_data = validator('scalar_data', each_item=True, allow_reuse=True)(validate_data_source_for_map_config)
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441 @validator('experiment_type')
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442 def validate_experiment_type(cls, value, values):
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443 '''Ensure values for the station and experiment_type fields are compatible'''
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444 station = values.get('station')
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445 if station == 'id1a3':
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446 allowed_experiment_types = ['SAXSWAXS', 'EDD']
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447 elif station == 'id3a':
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448 allowed_experiment_types = ['EDD']
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449 elif station == 'id3b':
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450 allowed_experiment_types = ['SAXSWAXS', 'XRF']
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451 else:
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452 allowed_experiment_types = []
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453 if value not in allowed_experiment_types:
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454 raise(ValueError(f'For station {station}, allowed experiment types are {allowed_experiment_types} (suuplied experiment type {value} is not allowed)'))
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455 return(value)
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456 @property
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457 def coords(self):
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458 """Return a dictionary of the values of each independent dimension across
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459 the map.
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460
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461 :returns: A dictionary ofthe map's coordinate values.
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462 :rtype: dict[str,list[float]]
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463 """
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464 try:
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465 return(self._coords)
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466 except:
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467 coords = {}
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468 for independent_dimension in self.independent_dimensions:
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469 coords[independent_dimension.label] = []
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470 for scans in self.spec_scans:
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471 for scan_number in scans.scan_numbers:
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472 scanparser = scans.get_scanparser(scan_number)
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473 for scan_step_index in range(scanparser.spec_scan_npts):
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474 coords[independent_dimension.label].append(independent_dimension.get_value(scans, scan_number, scan_step_index))
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475 coords[independent_dimension.label] = np.unique(coords[independent_dimension.label])
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476 self._coords = coords
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477 return(self._coords)
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478 @property
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479 def dims(self):
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480 """Return a tuple of the independent dimension labels for the map."""
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481 return([point_by_point_scan_data.label for point_by_point_scan_data in self.independent_dimensions[::-1]])
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482 @property
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483 def shape(self):
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484 """Return the shape of the map -- a tuple representing the number of
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485 unique values of each dimension across the map.
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486 """
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487 return(tuple([len(values) for key,values in self.coords.items()][::-1]))
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488 @property
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489 def all_scalar_data(self):
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490 """Return a list of all instances of `PointByPointScanData` for which
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491 this map configuration will collect dataset-like data (as opposed to
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492 axes-like data).
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493
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494 This will be any and all of the items in the corrections-data-related
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495 fields, as well as any additional items in the optional `scalar_data`
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496 field."""
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497 return([getattr(self,l,None) for l in CorrectionsData.reserved_labels() if getattr(self,l,None) is not None] + self.scalar_data)
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498
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499 def import_scanparser(station, experiment_type):
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500 if station.lower() in ('id1a3', 'id3a'):
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501 if experiment_type == 'SAXSWAXS':
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502 from msnctools.scanparsers import SMBLinearScanParser
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503 globals()['ScanParser'] = SMBLinearScanParser
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504 elif experiment_type == 'EDD':
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505 from msnctools.scanparsers import SMBMCAScanParser
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506 globals()['ScanParser'] = SMBMCAScanParser
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507 else:
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508 raise(ValueError(f'Invalid experiment_type: {experiment_type}'))
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509 elif station.lower() == 'id3b':
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510 if experiment_type == 'SAXSWAXS':
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511 from msnctools.scanparsers import FMBSAXSWAXSScanParser
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512 globals()['ScanParser'] = FMBSAXSWAXSScanParser
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513 elif experiment_type == 'XRF':
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514 from msnctools.scanparsers import FMBXRFScanParser
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515 globals()['ScanParser'] = FMBXRFScanParser
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516 else:
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517 raise(ValueError(f'Invalid experiment_type: {experiment_type}'))
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518 else:
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519 raise(ValueError(f'Invalid station: {station}'))