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Module dcm2bids.sidecar⚓︎

sidecars classes

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# -*- coding: utf-8 -*-

"""sidecars classes"""

import itertools

import logging

import os

import re

from collections import defaultdict, OrderedDict

from fnmatch import fnmatch

from dcm2bids.acquisition import Acquisition

from dcm2bids.utils.io import load_json

from dcm2bids.utils.utils import DEFAULT, convert_dir, combine_dict_extractors, splitext_

compare_float_keys = ["lt", "gt", "le", "ge", "btw", "btwe"]

class Sidecar(object):

    """ A sidecar object

    Args:

        filename (str): Path of a JSON sidecar

        keyComp (list): A list of keys from the JSON sidecar to compare sidecars

                     default=["SeriesNumber","AcquisitionTime","SideCarFilename"]

    """

    def __init__(self, filename, compKeys=DEFAULT.compKeys):

        self._origData = {}

        self._data = {}

        self.filename = filename

        self.root, _ = splitext_(filename)

        self.data = filename

        self.compKeys = compKeys

    def __lt__(self, other):

        lts = []

        for key in self.compKeys:

            try:

                if all(key in d for d in (self.data, other.data)):

                    if self.data.get(key) == other.data.get(key):

                        lts.append(None)

                    else:

                        lts.append(self.data.get(key) < other.data.get(key))

                else:

                    lts.append(None)

            except Exception:

                lts.append(None)

        for lt in lts:

            if lt is not None:

                return lt

    def __eq__(self, other):

        return self.data == other.data

    def __hash__(self):

        return hash(self.filename)

    @property

    def origData(self):

        return self._origData

    @property

    def data(self):

        return self._data

    @data.setter

    def data(self, filename):

        """

        Args:

            filename (path): path of a JSON file

        Return:

            A dictionary of the JSON content plus the SidecarFilename

        """

        try:

            data = load_json(filename)

        except Exception:

            data = {}

        self._origData = data.copy()

        data["SidecarFilename"] = os.path.basename(filename)

        self._data = data

class SidecarPairing(object):

    """

    Args:

        sidecars (list): List of Sidecar objects

        descriptions (list): List of dictionaries describing acquisitions

    """

    def __init__(self,

                 sidecars,

                 descriptions,

                 extractors=DEFAULT.extractors,

                 auto_extractor=DEFAULT.auto_extract_entities,

                 search_method=DEFAULT.search_method,

                 case_sensitive=DEFAULT.case_sensitive,

                 dup_method=DEFAULT.dup_method,

                 post_op=DEFAULT.post_op):

        self.logger = logging.getLogger(__name__)

        self._search_method = ""

        self._dup_method = ""

        self._post_op = ""

        self.graph = OrderedDict()

        self.acquisitions = []

        self.extractors = extractors

        self.auto_extract_entities = auto_extractor

        self.sidecars = sidecars

        self.descriptions = descriptions

        self.search_method = search_method

        self.case_sensitive = case_sensitive

        self.dup_method = dup_method

        self.post_op = post_op

    @property

    def search_method(self):

        return self._search_method

    @search_method.setter

    def search_method(self, value):

        """

        Checks if the search method is implemented

        Warns the user if not and fall back to default

        """

        if value in DEFAULT.search_methodChoices:

            self._search_method = value

        else:

            self._search_method = DEFAULT.search_method

            self.logger.warning(f"'{value}' is not a search method implemented")

            self.logger.warning(f"Falling back to default: {DEFAULT.search_method}")

            self.logger.warning(

                f"Search methods implemented: {DEFAULT.search_methodChoices}"

            )

    @property

    def dup_method(self):

        return self._dup_method

    @dup_method.setter

    def dup_method(self, value):

        """

        Checks if the duplicate method is implemented

        Warns the user if not and fall back to default

        """

        if value in DEFAULT.dup_method_choices:

            self._dup_method = value

        else:

            self._dup_method = DEFAULT.dup_method

            self.logger.warning(

                "Duplicate methods implemented: %s", DEFAULT.dup_method_choices)

            self.logger.warning(f"{value} is not a duplicate method implemented.")

            self.logger.warning(f"Falling back to default: {DEFAULT.dup_method}.")

    @property

    def post_op(self):

        return self._post_op

    @post_op.setter

    def post_op(self, value):

        """

        Checks if post_op commands don't overlap

        """

        post_op = []

        if isinstance(value, dict):

            value = [value]

        elif not isinstance(value, list):

            raise ValueError("post_op should be a list of dict."

                             "Please check the documentation.")

        try:

            pairs = []

            for curr_post_op in value:

                post_op.append(curr_post_op)

                datatype = curr_post_op['datatype']

                suffix = curr_post_op['suffix']

                if 'custom_entities' in curr_post_op:

                    post_op[-1]['custom_entities'] = curr_post_op['custom_entities']

                if isinstance(curr_post_op['cmd'], str):

                    cmd_split = curr_post_op['cmd'].split()

                else:

                    raise ValueError("post_op cmd should be a string."

                                     "Please check the documentation.")

                if 'src_file' not in cmd_split or 'dst_file' not in cmd_split:

                    raise ValueError("post_op cmd is not defined correctly. "

                                     "<src_file> and/or <dst_file> is missing. "

                                     "Please check the documentation.")

                if isinstance(datatype, str):

                    post_op[-1]['datatype'] = [datatype]

                    datatype = [datatype]

                if isinstance(suffix, str):

                    # It will be compare with acq.suffix which has a `_` character

                    post_op[-1]['suffix'] = ['_' + suffix]

                    suffix = [suffix]

                elif isinstance(suffix, list):

                    post_op[-1]['suffix'] = ['_' + curr_suffix for curr_suffix in suffix]

                pairs = pairs + list(itertools.product(datatype, suffix))

            res = list(set([ele for ele in pairs if pairs.count(ele) > 1]))

            if res:

                raise ValueError("Some post operations apply on "

                                 "the same combination of datatype/suffix. "

                                 "Please fix post_op key in your config file."

                                 f"{pairs}")

            self._post_op = post_op

        except Exception:

            raise ValueError("post_op is not defined correctly. "

                             "Please check the documentation.")

    @property

    def case_sensitive(self):

        return self._case_sensitive

    @case_sensitive.setter

    def case_sensitive(self, value):

        if isinstance(value, bool):

            self._case_sensitive = value

        else:

            self._case_sensitive = DEFAULT.case_sensitive

            self.logger.warning(f"'{value}' is not a boolean")

            self.logger.warning(f"Falling back to default: {DEFAULT.case_sensitive}")

            self.logger.warning(f"Search methods implemented: {DEFAULT.case_sensitive}")

    def build_graph(self):

        """

        Test all the possible links between the list of sidecars and the

        description dictionaries and build a graph from it

        The graph is in a OrderedDict object. The keys are the Sidecars and

        the values are a list of possible descriptions

        Returns:

            A graph (OrderedDict)

        """

        graph = OrderedDict((_, []) for _ in self.sidecars)

        possibleLinks = itertools.product(self.sidecars, self.descriptions)

        for sidecar, description in possibleLinks:

            criteria = description.get("criteria", None)

            if criteria and self.isLink(sidecar.data, criteria):

                graph[sidecar].append(description)

        self.graph = graph

        return graph

    def isLink(self, data, criteria):

        """

        Args:

            data (dict): Dictionary data of a sidecar

            criteria (dict): Dictionary criteria

        Returns:

            boolean

        """

        def compare(name, pattern):

            name = str(name)

            if self.search_method == "re":

                return bool(re.match(pattern, name))

            else:

                pattern = str(pattern)

                if not self.case_sensitive:

                    name = name.lower()

                    pattern = pattern.lower()

                return fnmatch(name, pattern)

        def compare_list(name, pattern):

            try:

                subResult = [

                        len(name) == len(pattern),

                        isinstance(pattern, list),

                        ]

                for subName, subPattern in zip(name, pattern):

                    subResult.append(compare(subName, subPattern))

            except Exception:

                subResult = [False]

            return all(subResult)

        def compare_complex(name, pattern):

            sub_result = []

            compare_type = None

            try:

                for compare_type, patterns in pattern.items():

                    for sub_pattern in patterns:

                        if isinstance(name, list):

                            sub_result.append(compare_list(name, sub_pattern))

                        else:

                            sub_result.append(compare(name, sub_pattern))

            except Exception:

                sub_result = [False]

            if compare_type == "any":

                return any(sub_result)

            else:

                return False

        def compare_float(name, pattern):

            try:

                comparison = list(pattern.keys())[0]

                name_float = float(name)

                sub_pattern = pattern[list(pattern.keys())[0]]

                if comparison in ["btwe", "btw"]:

                    if not isinstance(sub_pattern, list):

                        raise ValueError("You should be using a list "

                                         "for float comparison "

                                         f"with key {comparison}. "

                                         f"Error val: {sub_pattern}")

                    if len(sub_pattern) != 2:

                        raise ValueError(f"List for key {comparison} "

                                         "should have two values. "

                                         f"Error val: {sub_pattern}")

                    elif comparison == "btwe":

                        return name_float >= float(sub_pattern[0]) and name_float <= float(sub_pattern[1])

                    elif comparison == "btw":

                        return name_float > float(sub_pattern[0]) and name_float < float(sub_pattern[1])

                if isinstance(sub_pattern, list):

                    if len(sub_pattern) != 1:

                        raise ValueError(f"List for key {comparison} "

                                         "should have only one value. "

                                         "Error val: {sub_pattern}")

                    sub_pattern = float(sub_pattern[0])

                else:

                    sub_pattern = float(sub_pattern)

                if comparison == 'gt':

                    return sub_pattern < name_float

                elif comparison == 'lt':

                    return sub_pattern > name_float

                elif comparison == 'ge':

                    return sub_pattern <= name_float

                elif comparison == 'le':

                    return sub_pattern >= name_float

            except Exception:

                return False

        result = []

        for tag, pattern in criteria.items():

            name = data.get(tag, '')

            if isinstance(pattern, dict):

                if len(pattern.keys()) == 1:

                    if "any" in pattern.keys():

                        result.append(compare_complex(name, pattern))

                    elif list(pattern.keys())[0] in compare_float_keys:

                        result.append(compare_float(name, pattern))

                    else:

                        self.logger.warning(f"This key {list(pattern.keys())[0]} "

                                            "is not allowed.")

                else:

                    raise ValueError("Dictionary used as criteria should be "

                                     "using only one key.")

            elif isinstance(name, list):

                result.append(compare_list(name, pattern))

            else:

                result.append(compare(name, pattern))

        return all(result)

    def build_acquisitions(self, participant):

        """

        Args:

            participant (Participant): Participant object to create acquisitions

        Returns:

            A list of acquisition objects

        """

        acquisitions_id = []

        acquisitions = []

        self.logger.info("Sidecar pairing".upper())

        for sidecar, valid_descriptions in self.graph.items():

            sidecarName = os.path.basename(sidecar.root)

            # only one description for the sidecar

            if len(valid_descriptions) == 1:

                desc = valid_descriptions[0]

                desc, sidecar = self.searchDcmTagEntity(sidecar, desc)

                acq = Acquisition(participant,

                                  src_sidecar=sidecar, **desc)

                acq.setDstFile()

                if acq.id:

                    acquisitions_id.append(acq)

                else:

                    acquisitions.append(acq)

                self.logger.info(

                  f"{acq.dstFile.replace(f'{acq.participant.prefix}-', '')}"

                  f"  <-  {sidecarName}")

            elif len(valid_descriptions) == 0:

                self.logger.info(f"No Pairing  <-  {sidecarName}")

            else:

                self.logger.warning(f"Several Pairing  <-  {sidecarName}")

                for desc in valid_descriptions:

                    acq = Acquisition(participant,

                                      **desc)

                    self.logger.warning(f"    ->  {acq.suffix}")

        self.acquisitions = acquisitions_id + acquisitions

        return self.acquisitions

    def searchDcmTagEntity(self, sidecar, desc):

        """

        Add DCM Tag to custom_entities

        """

        descWithTask = desc.copy()

        concatenated_matches = {}

        entities = []

        if "custom_entities" in desc.keys() or self.auto_extract_entities:

            if 'custom_entities' in desc.keys():

                if isinstance(descWithTask["custom_entities"], str):

                    descWithTask["custom_entities"] = [descWithTask["custom_entities"]]

            else:

                descWithTask["custom_entities"] = []

            if self.auto_extract_entities:

                self.extractors = combine_dict_extractors(self.extractors, DEFAULT.auto_extractors)

            for dcmTag in self.extractors:

                if dcmTag in sidecar.data.keys():

                    dcmInfo = sidecar.data.get(dcmTag)

                    for regex in self.extractors[dcmTag]:

                        compile_regex = re.compile(regex)

                        if not isinstance(dcmInfo, list):

                            if compile_regex.search(str(dcmInfo)) is not None:

                                concatenated_matches.update(

                                  compile_regex.search(str(dcmInfo)).groupdict())

                        else:

                            for curr_dcmInfo in dcmInfo:

                                if compile_regex.search(curr_dcmInfo) is not None:

                                    concatenated_matches.update(

                                      compile_regex.search(curr_dcmInfo).groupdict())

                                    break

            # Keep entities asked in custom_entities

            # If dir found in custom_entities and concatenated_matches.keys we keep it

            if "custom_entities" in desc.keys():

                entities = set(concatenated_matches.keys()).intersection(set(descWithTask["custom_entities"]))

                # custom_entities not a key for extractor or auto_extract_entities

                complete_entities = [ent for ent in descWithTask["custom_entities"] if '-' in ent]

                entities = entities.union(set(complete_entities))

            if self.auto_extract_entities:

                auto_acq = '_'.join([descWithTask['datatype'], descWithTask["suffix"]])

                if auto_acq in DEFAULT.auto_entities:

                    # Check if these auto entities have been found before merging

                    auto_entities = set(concatenated_matches.keys()).intersection(set(DEFAULT.auto_entities[auto_acq]))

                    left_auto_entities = auto_entities.symmetric_difference(set(DEFAULT.auto_entities[auto_acq]))

                    if left_auto_entities:

                        self.logger.warning(f"{left_auto_entities} have not been found for datatype '{descWithTask['datatype']}' "

                                            f"and suffix '{descWithTask['suffix']}'.")

                    entities = list(entities) + list(auto_entities)

                    entities = list(set(entities))

                    descWithTask["custom_entities"] = entities

            for curr_entity in entities:

                if curr_entity in concatenated_matches.keys():

                    if curr_entity == 'dir':

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, convert_dir(concatenated_matches[curr_entity])])), descWithTask["custom_entities"]))

                    elif curr_entity == 'task':

                        sidecar.data['TaskName'] = concatenated_matches[curr_entity]

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, concatenated_matches[curr_entity]])), descWithTask["custom_entities"]))

                    else:

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, concatenated_matches[curr_entity]])), descWithTask["custom_entities"]))

            # Remove entities without -

            for curr_entity in descWithTask["custom_entities"]:

                if '-' not in curr_entity:

                    self.logger.info(f"Removing entity '{curr_entity}' since it "

                                     "does not fit the basic BIDS specification "

                                     "(Entity-Value)")

                    descWithTask["custom_entities"].remove(curr_entity)

        return descWithTask, sidecar

    def find_runs(self):

        """

        Check if there is duplicate destination roots in the acquisitions

        and add '_run-' to the custom_entities of the acquisition

        """

        def duplicates(seq):

            """ Find duplicate items in a list

            Args:

                seq (list)

            Yield:

                A tuple of 2 items (item, list of index)

            ref: http://stackoverflow.com/a/5419576

            """

            tally = defaultdict(list)

            for i, item in enumerate(seq):

                tally[item].append(i)

            for key, locs in tally.items():

                if len(locs) > 1:

                    yield key, locs

        dstRoots = [_.dstRoot for _ in self.acquisitions]

        templateDup = DEFAULT.runTpl

        if self.dup_method == 'dup':

            templateDup = DEFAULT.dupTpl

        for dstRoot, dup in duplicates(dstRoots):

            self.logger.info(f"{dstRoot} has {len(dup)} runs")

            self.logger.info(f"Adding {self.dup_method} information to the acquisition")

            if self.dup_method == 'dup':

                dup = dup[0:-1]

            for runNum, acqInd in enumerate(dup):

                runStr = templateDup.format(runNum+1)

                self.acquisitions[acqInd].custom_entities += runStr

                self.acquisitions[acqInd].setDstFile()

Variables⚓︎

1
compare_float_keys

Classes⚓︎

Sidecar⚓︎

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class Sidecar(
    filename,
    compKeys=['AcquisitionTime', 'SeriesNumber', 'SidecarFilename']
)

A sidecar object

Attributes⚓︎

Name Type Description Default
filename str Path of a JSON sidecar None
keyComp list A list of keys from the JSON sidecar to compare sidecars
default=["SeriesNumber","AcquisitionTime","SideCarFilename"]
None
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class Sidecar(object):

    """ A sidecar object

    Args:

        filename (str): Path of a JSON sidecar

        keyComp (list): A list of keys from the JSON sidecar to compare sidecars

                     default=["SeriesNumber","AcquisitionTime","SideCarFilename"]

    """

    def __init__(self, filename, compKeys=DEFAULT.compKeys):

        self._origData = {}

        self._data = {}

        self.filename = filename

        self.root, _ = splitext_(filename)

        self.data = filename

        self.compKeys = compKeys

    def __lt__(self, other):

        lts = []

        for key in self.compKeys:

            try:

                if all(key in d for d in (self.data, other.data)):

                    if self.data.get(key) == other.data.get(key):

                        lts.append(None)

                    else:

                        lts.append(self.data.get(key) < other.data.get(key))

                else:

                    lts.append(None)

            except Exception:

                lts.append(None)

        for lt in lts:

            if lt is not None:

                return lt

    def __eq__(self, other):

        return self.data == other.data

    def __hash__(self):

        return hash(self.filename)

    @property

    def origData(self):

        return self._origData

    @property

    def data(self):

        return self._data

    @data.setter

    def data(self, filename):

        """

        Args:

            filename (path): path of a JSON file

        Return:

            A dictionary of the JSON content plus the SidecarFilename

        """

        try:

            data = load_json(filename)

        except Exception:

            data = {}

        self._origData = data.copy()

        data["SidecarFilename"] = os.path.basename(filename)

        self._data = data

Instance variables⚓︎

1
data
1
origData

SidecarPairing⚓︎

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class SidecarPairing(
    sidecars,
    descriptions,
    extractors={},
    auto_extractor=False,
    search_method='fnmatch',
    case_sensitive=True,
    dup_method='run',
    post_op=[]
)

Args:

sidecars (list): List of Sidecar objects descriptions (list): List of dictionaries describing acquisitions

View Source
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class SidecarPairing(object):

    """

    Args:

        sidecars (list): List of Sidecar objects

        descriptions (list): List of dictionaries describing acquisitions

    """

    def __init__(self,

                 sidecars,

                 descriptions,

                 extractors=DEFAULT.extractors,

                 auto_extractor=DEFAULT.auto_extract_entities,

                 search_method=DEFAULT.search_method,

                 case_sensitive=DEFAULT.case_sensitive,

                 dup_method=DEFAULT.dup_method,

                 post_op=DEFAULT.post_op):

        self.logger = logging.getLogger(__name__)

        self._search_method = ""

        self._dup_method = ""

        self._post_op = ""

        self.graph = OrderedDict()

        self.acquisitions = []

        self.extractors = extractors

        self.auto_extract_entities = auto_extractor

        self.sidecars = sidecars

        self.descriptions = descriptions

        self.search_method = search_method

        self.case_sensitive = case_sensitive

        self.dup_method = dup_method

        self.post_op = post_op

    @property

    def search_method(self):

        return self._search_method

    @search_method.setter

    def search_method(self, value):

        """

        Checks if the search method is implemented

        Warns the user if not and fall back to default

        """

        if value in DEFAULT.search_methodChoices:

            self._search_method = value

        else:

            self._search_method = DEFAULT.search_method

            self.logger.warning(f"'{value}' is not a search method implemented")

            self.logger.warning(f"Falling back to default: {DEFAULT.search_method}")

            self.logger.warning(

                f"Search methods implemented: {DEFAULT.search_methodChoices}"

            )

    @property

    def dup_method(self):

        return self._dup_method

    @dup_method.setter

    def dup_method(self, value):

        """

        Checks if the duplicate method is implemented

        Warns the user if not and fall back to default

        """

        if value in DEFAULT.dup_method_choices:

            self._dup_method = value

        else:

            self._dup_method = DEFAULT.dup_method

            self.logger.warning(

                "Duplicate methods implemented: %s", DEFAULT.dup_method_choices)

            self.logger.warning(f"{value} is not a duplicate method implemented.")

            self.logger.warning(f"Falling back to default: {DEFAULT.dup_method}.")

    @property

    def post_op(self):

        return self._post_op

    @post_op.setter

    def post_op(self, value):

        """

        Checks if post_op commands don't overlap

        """

        post_op = []

        if isinstance(value, dict):

            value = [value]

        elif not isinstance(value, list):

            raise ValueError("post_op should be a list of dict."

                             "Please check the documentation.")

        try:

            pairs = []

            for curr_post_op in value:

                post_op.append(curr_post_op)

                datatype = curr_post_op['datatype']

                suffix = curr_post_op['suffix']

                if 'custom_entities' in curr_post_op:

                    post_op[-1]['custom_entities'] = curr_post_op['custom_entities']

                if isinstance(curr_post_op['cmd'], str):

                    cmd_split = curr_post_op['cmd'].split()

                else:

                    raise ValueError("post_op cmd should be a string."

                                     "Please check the documentation.")

                if 'src_file' not in cmd_split or 'dst_file' not in cmd_split:

                    raise ValueError("post_op cmd is not defined correctly. "

                                     "<src_file> and/or <dst_file> is missing. "

                                     "Please check the documentation.")

                if isinstance(datatype, str):

                    post_op[-1]['datatype'] = [datatype]

                    datatype = [datatype]

                if isinstance(suffix, str):

                    # It will be compare with acq.suffix which has a `_` character

                    post_op[-1]['suffix'] = ['_' + suffix]

                    suffix = [suffix]

                elif isinstance(suffix, list):

                    post_op[-1]['suffix'] = ['_' + curr_suffix for curr_suffix in suffix]

                pairs = pairs + list(itertools.product(datatype, suffix))

            res = list(set([ele for ele in pairs if pairs.count(ele) > 1]))

            if res:

                raise ValueError("Some post operations apply on "

                                 "the same combination of datatype/suffix. "

                                 "Please fix post_op key in your config file."

                                 f"{pairs}")

            self._post_op = post_op

        except Exception:

            raise ValueError("post_op is not defined correctly. "

                             "Please check the documentation.")

    @property

    def case_sensitive(self):

        return self._case_sensitive

    @case_sensitive.setter

    def case_sensitive(self, value):

        if isinstance(value, bool):

            self._case_sensitive = value

        else:

            self._case_sensitive = DEFAULT.case_sensitive

            self.logger.warning(f"'{value}' is not a boolean")

            self.logger.warning(f"Falling back to default: {DEFAULT.case_sensitive}")

            self.logger.warning(f"Search methods implemented: {DEFAULT.case_sensitive}")

    def build_graph(self):

        """

        Test all the possible links between the list of sidecars and the

        description dictionaries and build a graph from it

        The graph is in a OrderedDict object. The keys are the Sidecars and

        the values are a list of possible descriptions

        Returns:

            A graph (OrderedDict)

        """

        graph = OrderedDict((_, []) for _ in self.sidecars)

        possibleLinks = itertools.product(self.sidecars, self.descriptions)

        for sidecar, description in possibleLinks:

            criteria = description.get("criteria", None)

            if criteria and self.isLink(sidecar.data, criteria):

                graph[sidecar].append(description)

        self.graph = graph

        return graph

    def isLink(self, data, criteria):

        """

        Args:

            data (dict): Dictionary data of a sidecar

            criteria (dict): Dictionary criteria

        Returns:

            boolean

        """

        def compare(name, pattern):

            name = str(name)

            if self.search_method == "re":

                return bool(re.match(pattern, name))

            else:

                pattern = str(pattern)

                if not self.case_sensitive:

                    name = name.lower()

                    pattern = pattern.lower()

                return fnmatch(name, pattern)

        def compare_list(name, pattern):

            try:

                subResult = [

                        len(name) == len(pattern),

                        isinstance(pattern, list),

                        ]

                for subName, subPattern in zip(name, pattern):

                    subResult.append(compare(subName, subPattern))

            except Exception:

                subResult = [False]

            return all(subResult)

        def compare_complex(name, pattern):

            sub_result = []

            compare_type = None

            try:

                for compare_type, patterns in pattern.items():

                    for sub_pattern in patterns:

                        if isinstance(name, list):

                            sub_result.append(compare_list(name, sub_pattern))

                        else:

                            sub_result.append(compare(name, sub_pattern))

            except Exception:

                sub_result = [False]

            if compare_type == "any":

                return any(sub_result)

            else:

                return False

        def compare_float(name, pattern):

            try:

                comparison = list(pattern.keys())[0]

                name_float = float(name)

                sub_pattern = pattern[list(pattern.keys())[0]]

                if comparison in ["btwe", "btw"]:

                    if not isinstance(sub_pattern, list):

                        raise ValueError("You should be using a list "

                                         "for float comparison "

                                         f"with key {comparison}. "

                                         f"Error val: {sub_pattern}")

                    if len(sub_pattern) != 2:

                        raise ValueError(f"List for key {comparison} "

                                         "should have two values. "

                                         f"Error val: {sub_pattern}")

                    elif comparison == "btwe":

                        return name_float >= float(sub_pattern[0]) and name_float <= float(sub_pattern[1])

                    elif comparison == "btw":

                        return name_float > float(sub_pattern[0]) and name_float < float(sub_pattern[1])

                if isinstance(sub_pattern, list):

                    if len(sub_pattern) != 1:

                        raise ValueError(f"List for key {comparison} "

                                         "should have only one value. "

                                         "Error val: {sub_pattern}")

                    sub_pattern = float(sub_pattern[0])

                else:

                    sub_pattern = float(sub_pattern)

                if comparison == 'gt':

                    return sub_pattern < name_float

                elif comparison == 'lt':

                    return sub_pattern > name_float

                elif comparison == 'ge':

                    return sub_pattern <= name_float

                elif comparison == 'le':

                    return sub_pattern >= name_float

            except Exception:

                return False

        result = []

        for tag, pattern in criteria.items():

            name = data.get(tag, '')

            if isinstance(pattern, dict):

                if len(pattern.keys()) == 1:

                    if "any" in pattern.keys():

                        result.append(compare_complex(name, pattern))

                    elif list(pattern.keys())[0] in compare_float_keys:

                        result.append(compare_float(name, pattern))

                    else:

                        self.logger.warning(f"This key {list(pattern.keys())[0]} "

                                            "is not allowed.")

                else:

                    raise ValueError("Dictionary used as criteria should be "

                                     "using only one key.")

            elif isinstance(name, list):

                result.append(compare_list(name, pattern))

            else:

                result.append(compare(name, pattern))

        return all(result)

    def build_acquisitions(self, participant):

        """

        Args:

            participant (Participant): Participant object to create acquisitions

        Returns:

            A list of acquisition objects

        """

        acquisitions_id = []

        acquisitions = []

        self.logger.info("Sidecar pairing".upper())

        for sidecar, valid_descriptions in self.graph.items():

            sidecarName = os.path.basename(sidecar.root)

            # only one description for the sidecar

            if len(valid_descriptions) == 1:

                desc = valid_descriptions[0]

                desc, sidecar = self.searchDcmTagEntity(sidecar, desc)

                acq = Acquisition(participant,

                                  src_sidecar=sidecar, **desc)

                acq.setDstFile()

                if acq.id:

                    acquisitions_id.append(acq)

                else:

                    acquisitions.append(acq)

                self.logger.info(

                  f"{acq.dstFile.replace(f'{acq.participant.prefix}-', '')}"

                  f"  <-  {sidecarName}")

            elif len(valid_descriptions) == 0:

                self.logger.info(f"No Pairing  <-  {sidecarName}")

            else:

                self.logger.warning(f"Several Pairing  <-  {sidecarName}")

                for desc in valid_descriptions:

                    acq = Acquisition(participant,

                                      **desc)

                    self.logger.warning(f"    ->  {acq.suffix}")

        self.acquisitions = acquisitions_id + acquisitions

        return self.acquisitions

    def searchDcmTagEntity(self, sidecar, desc):

        """

        Add DCM Tag to custom_entities

        """

        descWithTask = desc.copy()

        concatenated_matches = {}

        entities = []

        if "custom_entities" in desc.keys() or self.auto_extract_entities:

            if 'custom_entities' in desc.keys():

                if isinstance(descWithTask["custom_entities"], str):

                    descWithTask["custom_entities"] = [descWithTask["custom_entities"]]

            else:

                descWithTask["custom_entities"] = []

            if self.auto_extract_entities:

                self.extractors = combine_dict_extractors(self.extractors, DEFAULT.auto_extractors)

            for dcmTag in self.extractors:

                if dcmTag in sidecar.data.keys():

                    dcmInfo = sidecar.data.get(dcmTag)

                    for regex in self.extractors[dcmTag]:

                        compile_regex = re.compile(regex)

                        if not isinstance(dcmInfo, list):

                            if compile_regex.search(str(dcmInfo)) is not None:

                                concatenated_matches.update(

                                  compile_regex.search(str(dcmInfo)).groupdict())

                        else:

                            for curr_dcmInfo in dcmInfo:

                                if compile_regex.search(curr_dcmInfo) is not None:

                                    concatenated_matches.update(

                                      compile_regex.search(curr_dcmInfo).groupdict())

                                    break

            # Keep entities asked in custom_entities

            # If dir found in custom_entities and concatenated_matches.keys we keep it

            if "custom_entities" in desc.keys():

                entities = set(concatenated_matches.keys()).intersection(set(descWithTask["custom_entities"]))

                # custom_entities not a key for extractor or auto_extract_entities

                complete_entities = [ent for ent in descWithTask["custom_entities"] if '-' in ent]

                entities = entities.union(set(complete_entities))

            if self.auto_extract_entities:

                auto_acq = '_'.join([descWithTask['datatype'], descWithTask["suffix"]])

                if auto_acq in DEFAULT.auto_entities:

                    # Check if these auto entities have been found before merging

                    auto_entities = set(concatenated_matches.keys()).intersection(set(DEFAULT.auto_entities[auto_acq]))

                    left_auto_entities = auto_entities.symmetric_difference(set(DEFAULT.auto_entities[auto_acq]))

                    if left_auto_entities:

                        self.logger.warning(f"{left_auto_entities} have not been found for datatype '{descWithTask['datatype']}' "

                                            f"and suffix '{descWithTask['suffix']}'.")

                    entities = list(entities) + list(auto_entities)

                    entities = list(set(entities))

                    descWithTask["custom_entities"] = entities

            for curr_entity in entities:

                if curr_entity in concatenated_matches.keys():

                    if curr_entity == 'dir':

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, convert_dir(concatenated_matches[curr_entity])])), descWithTask["custom_entities"]))

                    elif curr_entity == 'task':

                        sidecar.data['TaskName'] = concatenated_matches[curr_entity]

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, concatenated_matches[curr_entity]])), descWithTask["custom_entities"]))

                    else:

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, concatenated_matches[curr_entity]])), descWithTask["custom_entities"]))

            # Remove entities without -

            for curr_entity in descWithTask["custom_entities"]:

                if '-' not in curr_entity:

                    self.logger.info(f"Removing entity '{curr_entity}' since it "

                                     "does not fit the basic BIDS specification "

                                     "(Entity-Value)")

                    descWithTask["custom_entities"].remove(curr_entity)

        return descWithTask, sidecar

    def find_runs(self):

        """

        Check if there is duplicate destination roots in the acquisitions

        and add '_run-' to the custom_entities of the acquisition

        """

        def duplicates(seq):

            """ Find duplicate items in a list

            Args:

                seq (list)

            Yield:

                A tuple of 2 items (item, list of index)

            ref: http://stackoverflow.com/a/5419576

            """

            tally = defaultdict(list)

            for i, item in enumerate(seq):

                tally[item].append(i)

            for key, locs in tally.items():

                if len(locs) > 1:

                    yield key, locs

        dstRoots = [_.dstRoot for _ in self.acquisitions]

        templateDup = DEFAULT.runTpl

        if self.dup_method == 'dup':

            templateDup = DEFAULT.dupTpl

        for dstRoot, dup in duplicates(dstRoots):

            self.logger.info(f"{dstRoot} has {len(dup)} runs")

            self.logger.info(f"Adding {self.dup_method} information to the acquisition")

            if self.dup_method == 'dup':

                dup = dup[0:-1]

            for runNum, acqInd in enumerate(dup):

                runStr = templateDup.format(runNum+1)

                self.acquisitions[acqInd].custom_entities += runStr

                self.acquisitions[acqInd].setDstFile()

Instance variables⚓︎

1
case_sensitive
1
dup_method
1
post_op
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search_method

Methods⚓︎

build_acquisitions⚓︎

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def build_acquisitions(
    self,
    participant
)

Parameters:

Name Type Description Default
participant Participant Participant object to create acquisitions None

Returns:

Type Description
None A list of acquisition objects
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    def build_acquisitions(self, participant):

        """

        Args:

            participant (Participant): Participant object to create acquisitions

        Returns:

            A list of acquisition objects

        """

        acquisitions_id = []

        acquisitions = []

        self.logger.info("Sidecar pairing".upper())

        for sidecar, valid_descriptions in self.graph.items():

            sidecarName = os.path.basename(sidecar.root)

            # only one description for the sidecar

            if len(valid_descriptions) == 1:

                desc = valid_descriptions[0]

                desc, sidecar = self.searchDcmTagEntity(sidecar, desc)

                acq = Acquisition(participant,

                                  src_sidecar=sidecar, **desc)

                acq.setDstFile()

                if acq.id:

                    acquisitions_id.append(acq)

                else:

                    acquisitions.append(acq)

                self.logger.info(

                  f"{acq.dstFile.replace(f'{acq.participant.prefix}-', '')}"

                  f"  <-  {sidecarName}")

            elif len(valid_descriptions) == 0:

                self.logger.info(f"No Pairing  <-  {sidecarName}")

            else:

                self.logger.warning(f"Several Pairing  <-  {sidecarName}")

                for desc in valid_descriptions:

                    acq = Acquisition(participant,

                                      **desc)

                    self.logger.warning(f"    ->  {acq.suffix}")

        self.acquisitions = acquisitions_id + acquisitions

        return self.acquisitions

build_graph⚓︎

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def build_graph(
    self
)

Test all the possible links between the list of sidecars and the

description dictionaries and build a graph from it The graph is in a OrderedDict object. The keys are the Sidecars and the values are a list of possible descriptions

Returns:

Type Description
None A graph (OrderedDict)
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    def build_graph(self):

        """

        Test all the possible links between the list of sidecars and the

        description dictionaries and build a graph from it

        The graph is in a OrderedDict object. The keys are the Sidecars and

        the values are a list of possible descriptions

        Returns:

            A graph (OrderedDict)

        """

        graph = OrderedDict((_, []) for _ in self.sidecars)

        possibleLinks = itertools.product(self.sidecars, self.descriptions)

        for sidecar, description in possibleLinks:

            criteria = description.get("criteria", None)

            if criteria and self.isLink(sidecar.data, criteria):

                graph[sidecar].append(description)

        self.graph = graph

        return graph

find_runs⚓︎

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def find_runs(
    self
)

Check if there is duplicate destination roots in the acquisitions

and add '_run-' to the custom_entities of the acquisition

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    def find_runs(self):

        """

        Check if there is duplicate destination roots in the acquisitions

        and add '_run-' to the custom_entities of the acquisition

        """

        def duplicates(seq):

            """ Find duplicate items in a list

            Args:

                seq (list)

            Yield:

                A tuple of 2 items (item, list of index)

            ref: http://stackoverflow.com/a/5419576

            """

            tally = defaultdict(list)

            for i, item in enumerate(seq):

                tally[item].append(i)

            for key, locs in tally.items():

                if len(locs) > 1:

                    yield key, locs

        dstRoots = [_.dstRoot for _ in self.acquisitions]

        templateDup = DEFAULT.runTpl

        if self.dup_method == 'dup':

            templateDup = DEFAULT.dupTpl

        for dstRoot, dup in duplicates(dstRoots):

            self.logger.info(f"{dstRoot} has {len(dup)} runs")

            self.logger.info(f"Adding {self.dup_method} information to the acquisition")

            if self.dup_method == 'dup':

                dup = dup[0:-1]

            for runNum, acqInd in enumerate(dup):

                runStr = templateDup.format(runNum+1)

                self.acquisitions[acqInd].custom_entities += runStr

                self.acquisitions[acqInd].setDstFile()
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def isLink(
    self,
    data,
    criteria
)

Parameters:

Name Type Description Default
data dict Dictionary data of a sidecar None
criteria dict Dictionary criteria None

Returns:

Type Description
None boolean
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    def isLink(self, data, criteria):

        """

        Args:

            data (dict): Dictionary data of a sidecar

            criteria (dict): Dictionary criteria

        Returns:

            boolean

        """

        def compare(name, pattern):

            name = str(name)

            if self.search_method == "re":

                return bool(re.match(pattern, name))

            else:

                pattern = str(pattern)

                if not self.case_sensitive:

                    name = name.lower()

                    pattern = pattern.lower()

                return fnmatch(name, pattern)

        def compare_list(name, pattern):

            try:

                subResult = [

                        len(name) == len(pattern),

                        isinstance(pattern, list),

                        ]

                for subName, subPattern in zip(name, pattern):

                    subResult.append(compare(subName, subPattern))

            except Exception:

                subResult = [False]

            return all(subResult)

        def compare_complex(name, pattern):

            sub_result = []

            compare_type = None

            try:

                for compare_type, patterns in pattern.items():

                    for sub_pattern in patterns:

                        if isinstance(name, list):

                            sub_result.append(compare_list(name, sub_pattern))

                        else:

                            sub_result.append(compare(name, sub_pattern))

            except Exception:

                sub_result = [False]

            if compare_type == "any":

                return any(sub_result)

            else:

                return False

        def compare_float(name, pattern):

            try:

                comparison = list(pattern.keys())[0]

                name_float = float(name)

                sub_pattern = pattern[list(pattern.keys())[0]]

                if comparison in ["btwe", "btw"]:

                    if not isinstance(sub_pattern, list):

                        raise ValueError("You should be using a list "

                                         "for float comparison "

                                         f"with key {comparison}. "

                                         f"Error val: {sub_pattern}")

                    if len(sub_pattern) != 2:

                        raise ValueError(f"List for key {comparison} "

                                         "should have two values. "

                                         f"Error val: {sub_pattern}")

                    elif comparison == "btwe":

                        return name_float >= float(sub_pattern[0]) and name_float <= float(sub_pattern[1])

                    elif comparison == "btw":

                        return name_float > float(sub_pattern[0]) and name_float < float(sub_pattern[1])

                if isinstance(sub_pattern, list):

                    if len(sub_pattern) != 1:

                        raise ValueError(f"List for key {comparison} "

                                         "should have only one value. "

                                         "Error val: {sub_pattern}")

                    sub_pattern = float(sub_pattern[0])

                else:

                    sub_pattern = float(sub_pattern)

                if comparison == 'gt':

                    return sub_pattern < name_float

                elif comparison == 'lt':

                    return sub_pattern > name_float

                elif comparison == 'ge':

                    return sub_pattern <= name_float

                elif comparison == 'le':

                    return sub_pattern >= name_float

            except Exception:

                return False

        result = []

        for tag, pattern in criteria.items():

            name = data.get(tag, '')

            if isinstance(pattern, dict):

                if len(pattern.keys()) == 1:

                    if "any" in pattern.keys():

                        result.append(compare_complex(name, pattern))

                    elif list(pattern.keys())[0] in compare_float_keys:

                        result.append(compare_float(name, pattern))

                    else:

                        self.logger.warning(f"This key {list(pattern.keys())[0]} "

                                            "is not allowed.")

                else:

                    raise ValueError("Dictionary used as criteria should be "

                                     "using only one key.")

            elif isinstance(name, list):

                result.append(compare_list(name, pattern))

            else:

                result.append(compare(name, pattern))

        return all(result)

searchDcmTagEntity⚓︎

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def searchDcmTagEntity(
    self,
    sidecar,
    desc
)

Add DCM Tag to custom_entities

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    def searchDcmTagEntity(self, sidecar, desc):

        """

        Add DCM Tag to custom_entities

        """

        descWithTask = desc.copy()

        concatenated_matches = {}

        entities = []

        if "custom_entities" in desc.keys() or self.auto_extract_entities:

            if 'custom_entities' in desc.keys():

                if isinstance(descWithTask["custom_entities"], str):

                    descWithTask["custom_entities"] = [descWithTask["custom_entities"]]

            else:

                descWithTask["custom_entities"] = []

            if self.auto_extract_entities:

                self.extractors = combine_dict_extractors(self.extractors, DEFAULT.auto_extractors)

            for dcmTag in self.extractors:

                if dcmTag in sidecar.data.keys():

                    dcmInfo = sidecar.data.get(dcmTag)

                    for regex in self.extractors[dcmTag]:

                        compile_regex = re.compile(regex)

                        if not isinstance(dcmInfo, list):

                            if compile_regex.search(str(dcmInfo)) is not None:

                                concatenated_matches.update(

                                  compile_regex.search(str(dcmInfo)).groupdict())

                        else:

                            for curr_dcmInfo in dcmInfo:

                                if compile_regex.search(curr_dcmInfo) is not None:

                                    concatenated_matches.update(

                                      compile_regex.search(curr_dcmInfo).groupdict())

                                    break

            # Keep entities asked in custom_entities

            # If dir found in custom_entities and concatenated_matches.keys we keep it

            if "custom_entities" in desc.keys():

                entities = set(concatenated_matches.keys()).intersection(set(descWithTask["custom_entities"]))

                # custom_entities not a key for extractor or auto_extract_entities

                complete_entities = [ent for ent in descWithTask["custom_entities"] if '-' in ent]

                entities = entities.union(set(complete_entities))

            if self.auto_extract_entities:

                auto_acq = '_'.join([descWithTask['datatype'], descWithTask["suffix"]])

                if auto_acq in DEFAULT.auto_entities:

                    # Check if these auto entities have been found before merging

                    auto_entities = set(concatenated_matches.keys()).intersection(set(DEFAULT.auto_entities[auto_acq]))

                    left_auto_entities = auto_entities.symmetric_difference(set(DEFAULT.auto_entities[auto_acq]))

                    if left_auto_entities:

                        self.logger.warning(f"{left_auto_entities} have not been found for datatype '{descWithTask['datatype']}' "

                                            f"and suffix '{descWithTask['suffix']}'.")

                    entities = list(entities) + list(auto_entities)

                    entities = list(set(entities))

                    descWithTask["custom_entities"] = entities

            for curr_entity in entities:

                if curr_entity in concatenated_matches.keys():

                    if curr_entity == 'dir':

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, convert_dir(concatenated_matches[curr_entity])])), descWithTask["custom_entities"]))

                    elif curr_entity == 'task':

                        sidecar.data['TaskName'] = concatenated_matches[curr_entity]

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, concatenated_matches[curr_entity]])), descWithTask["custom_entities"]))

                    else:

                        descWithTask["custom_entities"] = list(map(lambda x: x.replace(curr_entity, '-'.join([curr_entity, concatenated_matches[curr_entity]])), descWithTask["custom_entities"]))

            # Remove entities without -

            for curr_entity in descWithTask["custom_entities"]:

                if '-' not in curr_entity:

                    self.logger.info(f"Removing entity '{curr_entity}' since it "

                                     "does not fit the basic BIDS specification "

                                     "(Entity-Value)")

                    descWithTask["custom_entities"].remove(curr_entity)

        return descWithTask, sidecar

Last update: 2024-07-09
Created: 2024-07-09