--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/build/lib/CHAP/models/map.py	Tue Mar 28 15:07:30 2023 +0000
@@ -0,0 +1,519 @@
+from functools import cache, lru_cache
+import os
+from typing import Literal, Optional, Union
+
+import numpy as np
+from pydantic import (BaseModel,
+                      conint,
+                      conlist,
+                      confloat,
+                      constr,
+                      FilePath,
+                      PrivateAttr,
+                      ValidationError,
+                      validator)
+from pyspec.file.spec import FileSpec
+
+class Sample(BaseModel):
+    """
+    Class representing a sample metadata configuration.
+
+    :ivar name: The name of the sample.
+    :type name: str
+    :ivar description: A description of the sample.
+    :type description: Optional[str]
+    """
+    name: constr(min_length=1)
+    description: Optional[str]
+
+class SpecScans(BaseModel):
+    """
+    Class representing a set of scans from a single SPEC file.
+
+    :ivar spec_file: Path to the SPEC file.
+    :type spec_file: str
+    :ivar scan_numbers: List of scan numbers to use.
+    :type scan_numbers: list[int]
+    """
+    spec_file: FilePath
+    scan_numbers: conlist(item_type=conint(gt=0), min_items=1)
+    @validator('spec_file', allow_reuse=True)
+    def validate_spec_file(cls, spec_file):
+        """
+        Validate the specified SPEC file.
+
+        :param spec_file: Path to the SPEC file.
+        :type spec_file: str
+        :raises ValueError: If the SPEC file is invalid.
+        :return: Absolute path to the SPEC file, if it is valid.
+        :rtype: str
+        """
+        try:
+            spec_file = os.path.abspath(spec_file)
+            sspec_file = FileSpec(spec_file)
+        except:
+            raise(ValueError(f'Invalid SPEC file {spec_file}'))
+        else:
+            return(spec_file)
+    @validator('scan_numbers', allow_reuse=True)
+    def validate_scan_numbers(cls, scan_numbers, values):
+        """
+        Validate the specified list of scan numbers.
+
+        :param scan_numbers: List of scan numbers.
+        :type scan_numbers: list of int
+        :param values: Dictionary of values for all fields of the model.
+        :type values: dict
+        :raises ValueError: If a specified scan number is not found in the SPEC file.
+        :return: List of scan numbers.
+        :rtype: list of int
+        """
+        spec_file = values.get('spec_file')
+        if spec_file is not None:
+            spec_scans = FileSpec(spec_file)
+            for scan_number in scan_numbers:
+                scan = spec_scans.get_scan_by_number(scan_number)
+                if scan is None:
+                    raise(ValueError(f'There is no scan number {scan_number} in {spec_file}'))
+        return(scan_numbers)
+
+    @property
+    def scanparsers(self):
+        '''A list of `ScanParser`s for each of the scans specified by the SPEC
+        file and scan numbers belonging to this instance of `SpecScans`
+        '''
+        return([self.get_scanparser(scan_no) for scan_no in self.scan_numbers])
+
+    def get_scanparser(self, scan_number):
+        """This method returns a `ScanParser` for the specified scan number in
+        the specified SPEC file.
+
+        :param scan_number: Scan number to get a `ScanParser` for
+        :type scan_number: int
+        :return: `ScanParser` for the specified scan number
+        :rtype: ScanParser
+        """
+        return(get_scanparser(self.spec_file, scan_number))
+    def get_index(self, scan_number:int, scan_step_index:int, map_config):
+        """This method returns a tuple representing the index of a specific step
+        in a specific spec scan within a map.
+
+        :param scan_number: Scan number to get index for
+        :type scan_number: int
+        :param scan_step_index: Scan step index to get index for
+        :type scan_step_index: int
+        :param map_config: Map configuration to get index for
+        :type map_config: MapConfig
+        :return: Index for the specified scan number and scan step index within
+            the specified map configuration
+        :rtype: tuple
+        """
+        index = ()
+        for independent_dimension in map_config.independent_dimensions:
+            coordinate_index = list(map_config.coords[independent_dimension.label]).index(independent_dimension.get_value(self, scan_number, scan_step_index))
+            index = (coordinate_index, *index)
+        return(index)
+    def get_detector_data(self, detectors:list, scan_number:int, scan_step_index:int):
+        """
+        Return the raw data from the specified detectors at the specified scan
+        number and scan step index.
+
+        :param detectors: List of detector prefixes to get raw data for
+        :type detectors: list[str]
+        :param scan_number: Scan number to get data for
+        :type scan_number: int
+        :param scan_step_index: Scan step index to get data for
+        :type scan_step_index: int
+        :return: Data from the specified detectors for the specified scan number
+            and scan step index
+        :rtype: list[np.ndarray]
+        """
+        return(get_detector_data(tuple([detector.prefix for detector in detectors]), self.spec_file, scan_number, scan_step_index))
+@cache
+def get_available_scan_numbers(spec_file:str):
+    scans = FileSpec(spec_file).scans
+    scan_numbers = list(scans.keys())
+    return(scan_numbers)
+@cache
+def get_scanparser(spec_file:str, scan_number:int):
+    if scan_number not in get_available_scan_numbers(spec_file):
+        return(None)
+    else:
+        return(ScanParser(spec_file, scan_number))
+@lru_cache(maxsize=10)
+def get_detector_data(detector_prefixes:tuple, spec_file:str, scan_number:int, scan_step_index:int):
+    detector_data = []
+    scanparser = get_scanparser(spec_file, scan_number)
+    for prefix in detector_prefixes:
+        image_data = scanparser.get_detector_data(prefix, scan_step_index)
+        detector_data.append(image_data)
+    return(detector_data)
+
+class PointByPointScanData(BaseModel):
+    """Class representing a source of raw scalar-valued data for which a value
+    was recorded at every point in a `MapConfig`.
+
+    :ivar label: A user-defined label for referring to this data in the NeXus
+        file and in other tools.
+    :type label: str
+    :ivar units: The units in which the data were recorded.
+    :type units: str
+    :ivar data_type: Represents how these data were recorded at time of data
+        collection.
+    :type data_type: Literal['spec_motor', 'scan_column', 'smb_par']
+    :ivar name: Represents the name with which these raw data were recorded at
+        time of data collection.
+    :type name: str
+    """
+    label: constr(min_length=1)
+    units: constr(strip_whitespace=True, min_length=1)
+    data_type: Literal['spec_motor', 'scan_column', 'smb_par']
+    name: constr(strip_whitespace=True, min_length=1)
+    @validator('label')
+    def validate_label(cls, label):
+        """Validate that the supplied `label` does not conflict with any of the
+        values for `label` reserved for certain data needed to perform
+        corrections.
+        
+        :param label: The value of `label` to validate
+        :type label: str
+        :raises ValueError: If `label` is one of the reserved values.
+        :return: The original supplied value `label`, if it is allowed.
+        :rtype: str
+        """
+        #if (not issubclass(cls,CorrectionsData)) and label in CorrectionsData.__fields__['label'].type_.__args__:
+        if (not issubclass(cls,CorrectionsData)) and label in CorrectionsData.reserved_labels():
+            raise(ValueError(f'{cls.__name__}.label may not be any of the following reserved values: {CorrectionsData.reserved_labels()}'))
+        return(label)
+    def validate_for_station(self, station:str):
+        """Validate this instance of `PointByPointScanData` for a certain choice
+        of station (beamline).
+        
+        :param station: The name of the station (in 'idxx' format).
+        :type station: str
+        :raises TypeError: If the station is not compatible with the value of the
+            `data_type` attribute for this instance of PointByPointScanData.
+        :return: None
+        :rtype: None
+        """
+        if station.lower() not in ('id1a3', 'id3a') and self.data_type == 'smb_par':
+            raise(TypeError(f'{self.__class__.__name__}.data_type may not be "smb_par" when station is "{station}"'))
+    def validate_for_spec_scans(self, spec_scans:list[SpecScans], scan_step_index:Union[Literal['all'],int]='all'):
+        """Validate this instance of `PointByPointScanData` for a list of
+        `SpecScans`.
+
+        :param spec_scans: A list of `SpecScans` whose raw data will be checked
+            for the presence of the data represented by this instance of
+            `PointByPointScanData`
+        :type spec_scans: list[SpecScans]
+        :param scan_step_index: A specific scan step index to validate, defaults
+            to `'all'`.
+        :type scan_step_index: Union[Literal['all'],int], optional
+        :raises RuntimeError: If the data represented by this instance of
+            `PointByPointScanData` is missing for the specified scan steps.
+        :return: None
+        :rtype: None
+        """
+        for scans in spec_scans:
+            for scan_number in scans.scan_numbers:
+                scanparser = scans.get_scanparser(scan_number)
+                if scan_step_index == 'all':
+                    scan_step_index_range = range(scanparser.spec_scan_npts)
+                else:
+                    scan_step_index_range = range(scan_step_index,scan_step_index+1)
+                for scan_step_index in scan_step_index_range:
+                    try:
+                        self.get_value(scans, scan_number, scan_step_index)
+                    except:
+                        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}'))
+    def get_value(self, spec_scans:SpecScans, scan_number:int, scan_step_index:int):
+        """Return the value recorded for this instance of `PointByPointScanData`
+        at a specific scan step.
+        
+        :param spec_scans: An instance of `SpecScans` in which the requested scan step occurs.
+        :type spec_scans: SpecScans
+        :param scan_number: The number of the scan in which the requested scan step occurs.
+        :type scan_number: int
+        :param scan_step_index: The index of the requested scan step.
+        :type scan_step_index: int
+        :return: The value recorded of the data represented by this instance of
+            `PointByPointScanData` at the scan step requested
+        :rtype: float
+        """
+        if self.data_type == 'spec_motor':
+            return(get_spec_motor_value(spec_scans.spec_file, scan_number, scan_step_index, self.name))
+        elif self.data_type == 'scan_column':
+            return(get_spec_counter_value(spec_scans.spec_file, scan_number, scan_step_index, self.name))
+        elif self.data_type == 'smb_par':
+            return(get_smb_par_value(spec_scans.spec_file, scan_number, self.name))
+@cache
+def get_spec_motor_value(spec_file:str, scan_number:int, scan_step_index:int, spec_mnemonic:str):
+    """Return the value recorded for a SPEC motor at a specific scan step.
+
+    :param spec_file: Location of a SPEC file in which the requested scan step occurs.
+    :type spec_scans: str
+    :param scan_number: The number of the scan in which the requested scan step occurs.
+    :type scan_number: int
+    :param scan_step_index: The index of the requested scan step.
+    :type scan_step_index: int
+    :param spec_mnemonic: The menmonic of a SPEC motor.
+    :type spec_mnemonic: str
+    :return: The value of the motor at the scan step requested
+    :rtype: float
+    """
+    scanparser = get_scanparser(spec_file, scan_number)
+    if spec_mnemonic in scanparser.spec_scan_motor_mnes:
+        motor_i = scanparser.spec_scan_motor_mnes.index(spec_mnemonic)
+        if scan_step_index >= 0:
+            scan_step = np.unravel_index(scan_step_index, scanparser.spec_scan_shape, order='F')
+            motor_value = scanparser.spec_scan_motor_vals[motor_i][scan_step[motor_i]]
+        else:
+            motor_value = scanparser.spec_scan_motor_vals[motor_i]
+    else:
+        motor_value = scanparser.get_spec_positioner_value(spec_mnemonic)
+    return(motor_value)
+@cache
+def get_spec_counter_value(spec_file:str, scan_number:int, scan_step_index:int, spec_column_label:str):
+    """Return the value recorded for a SPEC counter at a specific scan step.
+
+    :param spec_file: Location of a SPEC file in which the requested scan step occurs.
+    :type spec_scans: str
+    :param scan_number: The number of the scan in which the requested scan step occurs.
+    :type scan_number: int
+    :param scan_step_index: The index of the requested scan step.
+    :type scan_step_index: int
+    :param spec_column_label: The label of a SPEC data column.
+    :type spec_column_label: str
+    :return: The value of the counter at the scan step requested
+    :rtype: float
+    """
+    scanparser = get_scanparser(spec_file, scan_number)
+    if scan_step_index >= 0:
+        return(scanparser.spec_scan_data[spec_column_label][scan_step_index])
+    else:
+        return(scanparser.spec_scan_data[spec_column_label])
+@cache
+def get_smb_par_value(spec_file:str, scan_number:int, par_name:str):
+    """Return the value recorded for a specific scan in SMB-tyle .par file.
+
+    :param spec_file: Location of a SPEC file in which the requested scan step occurs.
+    :type spec_scans: str
+    :param scan_number: The number of the scan in which the requested scan step occurs.
+    :type scan_number: int
+    :param par_name: The name of the column in the .par file
+    :type par_name: str
+    :return: The value of the .par file value for  the scan requested.
+    :rtype: float
+    """
+    scanparser = get_scanparser(spec_file, scan_number)
+    return(scanparser.pars[par_name])
+def validate_data_source_for_map_config(data_source, values):
+    import_scanparser(values.get('station'), values.get('experiment_type'))
+    data_source.validate_for_station(values.get('station'))
+    data_source.validate_for_spec_scans(values.get('spec_scans'))
+    return(data_source)
+
+class CorrectionsData(PointByPointScanData):
+    """Class representing the special instances of `PointByPointScanData` that
+    are used by certain kinds of `CorrectionConfig` tools.
+
+    :ivar label: One of the reserved values required by `CorrectionConfig`, 
+        `'presample_intensity'`, `'postsample_intensity'`, or
+        `'dwell_time_actual'`.
+    :type label: Literal['presample_intensity','postsample_intensity','dwell_time_actual']
+    :ivar units: The units in which the data were recorded.
+    :type units: str
+    :ivar data_type: Represents how these data were recorded at time of data
+        collection.
+    :type data_type: Literal['scan_column', 'smb_par']
+    :ivar name: Represents the name with which these raw data were recorded at
+        time of data collection.
+    :type name: str
+    """
+    label: Literal['presample_intensity','postsample_intensity','dwell_time_actual']
+    data_type: Literal['scan_column','smb_par']
+    @classmethod
+    def reserved_labels(cls):
+        """Return a list of all the labels reserved for corrections-related
+        scalar data.
+
+        :return: A list of reserved labels
+        :rtype: list[str]
+        """
+        return(list(cls.__fields__['label'].type_.__args__))
+class PresampleIntensity(CorrectionsData):
+    """Class representing a source of raw data for the intensity of the beam that
+    is incident on the sample.
+
+    :ivar label: Must be `"presample_intensity"`
+    :type label: Literal["presample_intensity"]
+    :ivar units: Must be `"counts"`
+    :type units: Literal["counts"]
+    :ivar data_type: Represents how these data were recorded at time of data
+        collection.
+    :type data_type: Literal['scan_column', 'smb_par']
+    :ivar name: Represents the name with which these raw data were recorded at
+        time of data collection.
+    :type name: str
+    """
+    label: Literal['presample_intensity'] = 'presample_intensity'
+    units: Literal['counts'] = 'counts'
+class PostsampleIntensity(CorrectionsData):
+    """Class representing a source of raw data for the intensity of the beam that
+    has passed through the sample.
+
+    :ivar label: Must be `"postsample_intensity"`
+    :type label: Literal["postsample_intensity"]
+    :ivar units: Must be `"counts"`
+    :type units: Literal["counts"]
+    :ivar data_type: Represents how these data were recorded at time of data
+        collection.
+    :type data_type: Literal['scan_column', 'smb_par']
+    :ivar name: Represents the name with which these raw data were recorded at
+        time of data collection.
+    :type name: str
+    """
+    label: Literal['postsample_intensity'] = 'postsample_intensity'
+    units: Literal['counts'] = 'counts'
+class DwellTimeActual(CorrectionsData):
+    """Class representing a source of raw data for the actual dwell time at each
+    scan point in SPEC (with some scan types, this value can vary slightly
+    point-to-point from the dwell time specified in the command).
+
+    :ivar label: Must be `"dwell_time_actual"`
+    :type label: Literal["dwell_time_actual"]
+    :ivar units: Must be `"counts"`
+    :type units: Literal["counts"]
+    :ivar data_type: Represents how these data were recorded at time of data
+        collection.
+    :type data_type: Literal['scan_column', 'smb_par']
+    :ivar name: Represents the name with which these raw data were recorded at
+        time of data collection.
+    :type name: str
+    """
+    label: Literal['dwell_time_actual'] = 'dwell_time_actual'
+    units: Literal['s'] = 's'
+
+class MapConfig(BaseModel):
+    """Class representing an experiment consisting of one or more SPEC scans.
+
+    :ivar title: The title for the map configuration.
+    :type title: str
+    :ivar station: The name of the station at which the map was collected.
+    :type station: Literal['id1a3','id3a','id3b']
+    :ivar spec_scans: A list of the spec scans that compose the map.
+    :type spec_scans: list[SpecScans]
+    :ivar independent_dimensions: A list of the sources of data representing the
+        raw values of each independent dimension of the map.
+    :type independent_dimensions: list[PointByPointScanData]
+    :ivar presample_intensity: A source of point-by-point presample beam
+        intensity data. Required when applying a CorrectionConfig tool.
+    :type presample_intensity: Optional[PresampleIntensity]
+    :ivar dwell_time_actual: A source of point-by-point actual dwell times for
+        spec scans. Required when applying a CorrectionConfig tool.
+    :type dwell_time_actual: Optional[DwellTimeActual]
+    :ivar presample_intensity: A source of point-by-point postsample beam
+        intensity data. Required when applying a CorrectionConfig tool with
+        `correction_type="flux_absorption"` or
+        `correction_type="flux_absorption_background"`.
+    :type presample_intensity: Optional[PresampleIntensity]
+    :ivar scalar_data: A list of the sources of data representing other scalar
+        raw data values collected at each point ion the map. In the NeXus file
+        representation of the map, datasets for these values will be included.
+    :type scalar_values: Optional[list[PointByPointScanData]]
+    """
+    title: constr(strip_whitespace=True, min_length=1)
+    station: Literal['id1a3','id3a','id3b']
+    experiment_type: Literal['SAXSWAXS', 'EDD', 'XRF']
+    sample: Sample
+    spec_scans: conlist(item_type=SpecScans, min_items=1)
+    independent_dimensions: conlist(item_type=PointByPointScanData, min_items=1)
+    presample_intensity: Optional[PresampleIntensity]
+    dwell_time_actual: Optional[DwellTimeActual]
+    postsample_intensity: Optional[PostsampleIntensity]
+    scalar_data: Optional[list[PointByPointScanData]] = []
+    _coords: dict = PrivateAttr()
+    _validate_independent_dimensions = validator('independent_dimensions', each_item=True, allow_reuse=True)(validate_data_source_for_map_config)
+    _validate_presample_intensity = validator('presample_intensity', allow_reuse=True)(validate_data_source_for_map_config)
+    _validate_dwell_time_actual = validator('dwell_time_actual', allow_reuse=True)(validate_data_source_for_map_config)
+    _validate_postsample_intensity = validator('postsample_intensity', allow_reuse=True)(validate_data_source_for_map_config)
+    _validate_scalar_data = validator('scalar_data', each_item=True, allow_reuse=True)(validate_data_source_for_map_config)
+    @validator('experiment_type')
+    def validate_experiment_type(cls, value, values):
+        '''Ensure values for the station and experiment_type fields are compatible'''
+        station = values.get('station')
+        if station == 'id1a3':
+            allowed_experiment_types = ['SAXSWAXS', 'EDD']
+        elif station == 'id3a':
+            allowed_experiment_types = ['EDD']
+        elif station == 'id3b':
+            allowed_experiment_types = ['SAXSWAXS', 'XRF']
+        else:
+            allowed_experiment_types = []
+        if value not in allowed_experiment_types:
+            raise(ValueError(f'For station {station}, allowed experiment types are {allowed_experiment_types} (suuplied experiment type {value} is not allowed)'))
+        return(value)
+    @property
+    def coords(self):
+        """Return a dictionary of the values of each independent dimension across
+        the map.
+
+        :returns: A dictionary ofthe map's  coordinate values.
+        :rtype: dict[str,list[float]]
+        """
+        try:
+            return(self._coords)
+        except:
+            coords = {}
+            for independent_dimension in self.independent_dimensions:
+                coords[independent_dimension.label] = []
+                for scans in self.spec_scans:
+                    for scan_number in scans.scan_numbers:
+                        scanparser = scans.get_scanparser(scan_number)
+                        for scan_step_index in range(scanparser.spec_scan_npts):
+                            coords[independent_dimension.label].append(independent_dimension.get_value(scans, scan_number, scan_step_index))
+                coords[independent_dimension.label] = np.unique(coords[independent_dimension.label])
+            self._coords = coords
+            return(self._coords)
+    @property
+    def dims(self):
+        """Return a tuple of the independent dimension labels for the map."""
+        return([point_by_point_scan_data.label for point_by_point_scan_data in self.independent_dimensions[::-1]])
+    @property
+    def shape(self):
+        """Return the shape of the map -- a tuple representing the number of
+        unique values of each dimension across the map.
+        """
+        return(tuple([len(values) for key,values in self.coords.items()][::-1]))
+    @property
+    def all_scalar_data(self):
+        """Return a list of all instances of `PointByPointScanData` for which
+        this map configuration will collect dataset-like data (as opposed to
+        axes-like data).
+
+        This will be any and all of the items in the corrections-data-related
+        fields, as well as any additional items in the optional `scalar_data`
+        field."""
+        return([getattr(self,l,None) for l in CorrectionsData.reserved_labels() if getattr(self,l,None) is not None] + self.scalar_data)
+
+def import_scanparser(station, experiment_type):
+    if station.lower() in ('id1a3', 'id3a'):
+        if experiment_type == 'SAXSWAXS':
+            from msnctools.scanparsers import SMBLinearScanParser
+            globals()['ScanParser'] = SMBLinearScanParser
+        elif experiment_type == 'EDD':
+            from msnctools.scanparsers import SMBMCAScanParser
+            globals()['ScanParser'] = SMBMCAScanParser
+        else:
+            raise(ValueError(f'Invalid experiment_type: {experiment_type}'))
+    elif station.lower() == 'id3b':
+        if experiment_type == 'SAXSWAXS':
+            from msnctools.scanparsers import FMBSAXSWAXSScanParser
+            globals()['ScanParser'] = FMBSAXSWAXSScanParser
+        elif experiment_type == 'XRF':
+            from msnctools.scanparsers import FMBXRFScanParser
+            globals()['ScanParser'] = FMBXRFScanParser
+        else:
+            raise(ValueError(f'Invalid experiment_type: {experiment_type}'))
+    else:
+        raise(ValueError(f'Invalid station: {station}'))