Source code for mne_bids.copyfiles

"""Utility functions to copy raw data files.

When writing BIDS datasets, we often move and/or rename raw data files. several
original data formats have properties that restrict such operations. That is,
moving/renaming raw data files naively might lead to broken files, for example
due to internal pointers that are not being updated.

"""
# Authors: Mainak Jas <mainak.jas@telecom-paristech.fr>
#          Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#          Teon Brooks <teon.brooks@gmail.com>
#          Chris Holdgraf <choldgraf@berkeley.edu>
#          Stefan Appelhoff <stefan.appelhoff@mailbox.org>
#          Matt Sanderson <matt.sanderson@mq.edu.au>
#
# License: BSD (3-clause)
import os
import os.path as op
import re

import shutil as sh

from mne.io import read_raw_brainvision, anonymize_info
from scipy.io import loadmat, savemat

from mne_bids.path import BIDSPath, _parse_ext, _mkdir_p
from mne_bids.utils import _get_mrk_meas_date, _check_anonymize


def _copytree(src, dst, **kwargs):
    """See: https://github.com/jupyterlab/jupyterlab/pull/5150."""
    try:
        sh.copytree(src, dst, **kwargs)
    except sh.Error as error:
        # `copytree` throws an error if copying to + from NFS even though
        # the copy is successful (see https://bugs.python.org/issue24564)
        if '[Errno 22]' not in str(error) or not op.exists(dst):
            raise


def _get_brainvision_encoding(vhdr_file, verbose=False):
    """Get the encoding of .vhdr and .vmrk files.

    Parameters
    ----------
    vhdr_file : str
        Path to the header file.
    verbose : Bool
        Determine whether results should be logged (default False).

    Returns
    -------
    enc : str
        Encoding of the .vhdr file to pass it on to open() function
        either 'UTF-8' (default) or whatever encoding scheme is specified
        in the header.

    """
    with open(vhdr_file, 'rb') as ef:
        enc = ef.read()
        if enc.find(b'Codepage=') != -1:
            enc = enc[enc.find(b'Codepage=') + 9:]
            enc = enc.split()[0]
            enc = enc.decode()
            src = '(read from header)'
        else:
            enc = 'UTF-8'
            src = '(default)'
        if verbose is True:
            print(f'Detected file encoding: {enc} {src}.')
    return enc


def _get_brainvision_paths(vhdr_path):
    """Get the .eeg and .vmrk file paths from a BrainVision header file.

    Parameters
    ----------
    vhdr_path : str
        Path to the header file.

    Returns
    -------
    paths : tuple
        Paths to the .eeg file at index 0 and the .vmrk file at index 1 of
        the returned tuple.

    """
    fname, ext = _parse_ext(vhdr_path)
    if ext != '.vhdr':
        raise ValueError(f'Expecting file ending in ".vhdr",'
                         f' but got {ext}')

    # Header file seems fine
    # extract encoding from brainvision header file, or default to utf-8
    enc = _get_brainvision_encoding(vhdr_path)

    # ..and read it
    with open(vhdr_path, 'r', encoding=enc) as f:
        lines = f.readlines()

    # Try to find data file .eeg
    eeg_file_match = re.search(r'DataFile=(.*\.eeg)', ' '.join(lines))
    if not eeg_file_match:
        raise ValueError('Could not find a .eeg file link in'
                         f' {vhdr_path}')
    else:
        eeg_file = eeg_file_match.groups()[0]

    # Try to find marker file .vmrk
    vmrk_file_match = re.search(r'MarkerFile=(.*\.vmrk)', ' '.join(lines))
    if not vmrk_file_match:
        raise ValueError('Could not find a .vmrk file link in'
                         f' {vhdr_path}')
    else:
        vmrk_file = vmrk_file_match.groups()[0]

    # Make sure we are dealing with file names as is customary, not paths
    # Paths are problematic when copying the files to another system. Instead,
    # always use the file name and keep the file triplet in the same directory
    assert os.sep not in eeg_file
    assert os.sep not in vmrk_file

    # Assert the paths exist
    head, tail = op.split(vhdr_path)
    eeg_file_path = op.join(head, eeg_file)
    vmrk_file_path = op.join(head, vmrk_file)
    assert op.exists(eeg_file_path)
    assert op.exists(vmrk_file_path)

    # Return the paths
    return (eeg_file_path, vmrk_file_path)


[docs]def copyfile_ctf(src, dest): """Copy and rename CTF files to a new location. Parameters ---------- src : str Path to the source raw .ds folder. dest : str Path to the destination of the new bids folder. """ _copytree(src, dest) # list of file types to rename file_types = ('.acq', '.eeg', '.hc', '.hist', '.infods', '.bak', '.meg4', '.newds', '.res4') # Rename files in dest with the name of the dest directory fnames = [f for f in os.listdir(dest) if f.endswith(file_types)] bids_folder_name = op.splitext(op.split(dest)[-1])[0] for fname in fnames: ext = op.splitext(fname)[-1] os.rename(op.join(dest, fname), op.join(dest, bids_folder_name + ext))
[docs]def copyfile_kit(src, dest, subject_id, session_id, task, run, _init_kwargs): """Copy and rename KIT files to a new location. Parameters ---------- src : str Path to the source raw .con or .sqd folder. dest : str Path to the destination of the new bids folder. subject_id : str | None The subject ID. Corresponds to "sub". session_id : str | None The session identifier. Corresponds to "ses". task : str | None The task identifier. Corresponds to "task". run : int | None The run number. Corresponds to "run". _init_kwargs : dict Extract information of marker and headpoints """ # create parent directories in case it does not exist yet _mkdir_p(op.dirname(dest)) # KIT data requires the marker file to be copied over too sh.copyfile(src, dest) data_path = op.split(dest)[0] datatype = 'meg' if 'mrk' in _init_kwargs: hpi = _init_kwargs['mrk'] acq_map = dict() if isinstance(hpi, list): if _get_mrk_meas_date(hpi[0]) > _get_mrk_meas_date(hpi[1]): raise ValueError('Markers provided in incorrect order.') _, marker_ext = _parse_ext(hpi[0]) acq_map = dict(zip(['pre', 'post'], hpi)) else: _, marker_ext = _parse_ext(hpi) acq_map[None] = hpi for key, value in acq_map.items(): marker_path = BIDSPath( subject=subject_id, session=session_id, task=task, run=run, acquisition=key, suffix='markers', extension=marker_ext, datatype=datatype) sh.copyfile(value, op.join(data_path, marker_path.basename)) for acq in ['elp', 'hsp']: if acq in _init_kwargs: position_file = _init_kwargs[acq] task, run, acq = None, None, acq.upper() position_ext = '.pos' position_path = BIDSPath( subject=subject_id, session=session_id, task=task, run=run, acquisition=acq, suffix='headshape', extension=position_ext, datatype=datatype) sh.copyfile(position_file, op.join(data_path, position_path.basename))
def _replace_file(fname, pattern, replace): """Overwrite file, replacing end of lines matching pattern with replace.""" new_content = [] for line in open(fname, 'r'): match = re.match(pattern, line) if match: line = match.group()[:-len(replace)] + replace + '\n' new_content.append(line) with open(fname, 'w') as fout: fout.writelines(new_content) def _anonymize_brainvision(vhdr_file, date): """Anonymize vmrk and vhdr files in place using `date` datetime object.""" _, vmrk_file = _get_brainvision_paths(vhdr_file) # Go through VMRK pattern = re.compile(r'^Mk\d+=New Segment,.*,\d+,\d+,\d+,\d{20}$') replace = date.strftime('%Y%m%d%H%M%S%f') _replace_file(vmrk_file, pattern, replace) # Go through VHDR pattern = re.compile(r'^Impedance \[kOhm\] at \d\d:\d\d:\d\d :$') replace = f'at {date.strftime("%H:%M:%S")} :' _replace_file(vhdr_file, pattern, replace)
[docs]def copyfile_brainvision(vhdr_src, vhdr_dest, anonymize=None, verbose=False): """Copy a BrainVision file triplet to a new location and repair links. The BrainVision file format consists of three files: .vhdr, .eeg, and .vmrk The .eeg and .vmrk files associated with the .vhdr file will be given names as in `vhdr_dest` with adjusted extensions. Internal file pointers will be fixed. Parameters ---------- vhdr_src : str The src path of the .vhdr file to be copied. vhdr_dest : str The destination path of the .vhdr file. anonymize : dict | None If None (default), no anonymization is performed. If dict, data will be anonymized depending on the keys provided with the dict: `daysback` is a required key, `keep_his` is an optional key. `daysback` : int Number of days by which to move back the recording date in time. In studies with multiple subjects the relative recording date differences between subjects can be kept by using the same number of `daysback` for all subject anonymizations. `daysback` should be great enough to shift the date prior to 1925 to conform with BIDS anonymization rules. `keep_his` : bool By default (False), all subject information next to the recording date will be overwritten as well. If True, keep subject information apart from the recording date. verbose : bool Determine whether results should be logged. Defaults to False. See Also -------- mne.io.anonymize_info """ # Get extenstion of the brainvision file fname_src, ext_src = _parse_ext(vhdr_src) fname_dest, ext_dest = _parse_ext(vhdr_dest) if ext_src != ext_dest: raise ValueError(f'Need to move data with same extension' f' but got "{ext_src}", "{ext_dest}"') eeg_file_path, vmrk_file_path = _get_brainvision_paths(vhdr_src) # extract encoding from brainvision header file, or default to utf-8 enc = _get_brainvision_encoding(vhdr_src, verbose) # Copy data .eeg ... no links to repair sh.copyfile(eeg_file_path, fname_dest + '.eeg') # Write new header and marker files, fixing the file pointer links # For that, we need to replace an old "basename" with a new one # assuming that all .eeg, .vhdr, .vmrk share one basename __, basename_src = op.split(fname_src) assert basename_src + '.eeg' == op.split(eeg_file_path)[-1] assert basename_src + '.vmrk' == op.split(vmrk_file_path)[-1] __, basename_dest = op.split(fname_dest) search_lines = ['DataFile=' + basename_src + '.eeg', 'MarkerFile=' + basename_src + '.vmrk'] with open(vhdr_src, 'r', encoding=enc) as fin: with open(vhdr_dest, 'w', encoding=enc) as fout: for line in fin.readlines(): if line.strip() in search_lines: line = line.replace(basename_src, basename_dest) fout.write(line) with open(vmrk_file_path, 'r', encoding=enc) as fin: with open(fname_dest + '.vmrk', 'w', encoding=enc) as fout: for line in fin.readlines(): if line.strip() in search_lines: line = line.replace(basename_src, basename_dest) fout.write(line) if anonymize is not None: raw = read_raw_brainvision(vhdr_src, preload=False, verbose=0) daysback, keep_his = _check_anonymize(anonymize, raw, '.vhdr') raw.info = anonymize_info(raw.info, daysback=daysback, keep_his=keep_his) _anonymize_brainvision(fname_dest + '.vhdr', date=raw.info['meas_date']) if verbose: for ext in ['.eeg', '.vhdr', '.vmrk']: _, fname = os.path.split(fname_dest + ext) dirname = op.dirname(op.realpath(vhdr_dest)) print(f'Created "{fname}" in "{dirname}".') if anonymize: print('Anonymized all dates in VHDR and VMRK.')
[docs]def copyfile_eeglab(src, dest): """Copy a EEGLAB files to a new location and adjust pointer to '.fdt' file. Some EEGLAB .set files come with a .fdt binary file that contains the data. When moving a .set file, we need to check for an associated .fdt file and move it to an appropriate location as well as update an internal pointer within the .set file. Parameters ---------- src : str Path to the source raw .set file. dest : str Path to the destination of the new .set file. """ # Get extenstion of the EEGLAB file fname_src, ext_src = _parse_ext(src) fname_dest, ext_dest = _parse_ext(dest) if ext_src != ext_dest: raise ValueError('Need to move data with same extension' f' but got {ext_src}, {ext_dest}') # Extract matlab struct "EEG" from EEGLAB file mat = loadmat(src, squeeze_me=False, chars_as_strings=False, mat_dtype=False, struct_as_record=True) if 'EEG' not in mat: raise ValueError(f'Could not find "EEG" field in {src}') eeg = mat['EEG'] # If the data field is a string, it points to a .fdt file in src dir data = eeg[0][0]['data'] if all([item in data[0, -4:] for item in '.fdt']): head, tail = op.split(src) fdt_pointer = ''.join(data.tolist()[0]) fdt_path = op.join(head, fdt_pointer) fdt_name, fdt_ext = _parse_ext(fdt_path) if fdt_ext != '.fdt': raise IOError('Expected extension .fdt for linked data but found' f' {fdt_ext}') # Copy the fdt file and give it a new name sh.copyfile(fdt_path, fname_dest + '.fdt') # Now adjust the pointer in the set file head, tail = op.split(fname_dest + '.fdt') mat['EEG'][0][0]['data'] = tail savemat(dest, mat, appendmat=False) # If no .fdt file, simply copy the .set file, no modifications necessary else: sh.copyfile(src, dest)
[docs]def copyfile_bti(raw, dest): """Copy BTi data. Parameters ---------- raw : instance of Raw An MNE-Python raw object of BTi data. dest : str Destination to copy the BTi data to. """ pdf_fname = 'c,rfDC' if raw.info['highpass'] is not None: pdf_fname = 'c,rf%0.1fHz' % raw.info['highpass'] sh.copyfile(raw._init_kwargs['pdf_fname'], op.join(dest, pdf_fname)) sh.copyfile(raw._init_kwargs['config_fname'], op.join(dest, 'config')) sh.copyfile(raw._init_kwargs['head_shape_fname'], op.join(dest, 'hs_file'))