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test_report.py
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test_report.py
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# -*- coding: utf-8 -*-
# Authors: Mainak Jas <mainak@neuro.hut.fi>
# Teon Brooks <teon.brooks@gmail.com>
#
# License: BSD-3-Clause
from pathlib import Path
import base64
import copy
import glob
import pickle
from io import BytesIO
import os
import os.path as op
import re
import shutil
import numpy as np
import pytest
from matplotlib import pyplot as plt
from mne import (Epochs, read_events, read_evokeds, read_cov,
pick_channels_cov, create_info)
from mne.report import report as report_mod
from mne.report.report import (
CONTENT_ORDER, _ALLOWED_IMAGE_FORMATS, _webp_supported,
)
from mne.io import read_raw_fif, read_info, RawArray
from mne.datasets import testing
from mne.report import Report, open_report, _ReportScraper, report
from mne.utils import (requires_nibabel, Bunch, requires_version,
requires_sklearn)
from mne.viz import plot_alignment
from mne.io.write import DATE_NONE
from mne.preprocessing import ICA
from mne.epochs import make_metadata
data_dir = testing.data_path(download=False)
subjects_dir = op.join(data_dir, 'subjects')
sample_meg_dir = op.join(data_dir, 'MEG', 'sample')
raw_fname = op.join(sample_meg_dir, 'sample_audvis_trunc_raw.fif')
ms_fname = op.join(data_dir, 'SSS', 'test_move_anon_raw.fif')
events_fname = op.join(sample_meg_dir, 'sample_audvis_trunc_raw-eve.fif')
evoked_fname = op.join(sample_meg_dir, 'sample_audvis_trunc-ave.fif')
cov_fname = op.join(sample_meg_dir, 'sample_audvis_trunc-cov.fif')
ecg_proj_fname = op.join(sample_meg_dir, 'sample_audvis_ecg-proj.fif')
eog_proj_fname = op.join(sample_meg_dir, 'sample_audvis_eog-proj.fif')
fwd_fname = op.join(
sample_meg_dir, 'sample_audvis_trunc-meg-eeg-oct-6-fwd.fif'
)
trans_fname = op.join(sample_meg_dir, 'sample_audvis_trunc-trans.fif')
inv_fname = op.join(
sample_meg_dir, 'sample_audvis_trunc-meg-eeg-oct-6-meg-inv.fif'
)
stc_fname = op.join(sample_meg_dir, 'sample_audvis_trunc-meg')
mri_fname = op.join(subjects_dir, 'sample', 'mri', 'T1.mgz')
bdf_fname = op.realpath(op.join(op.dirname(__file__), '..', '..', 'io',
'edf', 'tests', 'data', 'test.bdf'))
edf_fname = op.realpath(op.join(op.dirname(__file__), '..', '..', 'io',
'edf', 'tests', 'data', 'test.edf'))
base_dir = op.realpath(op.join(op.dirname(__file__), '..', '..', 'io', 'tests',
'data'))
evoked_fname = op.join(base_dir, 'test-ave.fif')
nirs_fname = op.join(data_dir, 'SNIRF', 'NIRx', 'NIRSport2', '1.0.3',
'2021-05-05_001.snirf')
stc_plot_kwargs = dict( # for speed
smoothing_steps=1, size=(300, 300), views='lat', hemi='lh')
topomap_kwargs = dict(res=8, contours=0, sensors=False)
def _get_example_figures():
"""Create two example figures."""
fig1 = np.zeros((2, 2, 3))
fig2 = np.ones((2, 2, 3))
return [fig1, fig2]
@pytest.fixture
def invisible_fig(monkeypatch):
"""Make objects invisible to speed up draws."""
orig = report._fig_to_img
def _make_invisible(fig, **kwargs):
if isinstance(fig, plt.Figure):
for ax in fig.axes:
for attr in ('lines', 'collections', 'patches', 'images',
'texts'):
for item in getattr(ax, attr):
item.set_visible(False)
ax.axis('off')
return orig(fig, **kwargs)
monkeypatch.setattr(report, '_fig_to_img', _make_invisible)
yield
@pytest.mark.slowtest
@testing.requires_testing_data
def test_render_report(renderer_pyvistaqt, tmp_path, invisible_fig):
"""Test rendering *.fif files for mne report."""
tempdir = str(tmp_path)
raw_fname_new = op.join(tempdir, 'temp_raw.fif')
raw_fname_new_bids = op.join(tempdir, 'temp_meg.fif')
ms_fname_new = op.join(tempdir, 'temp_ms_raw.fif')
event_fname_new = op.join(tempdir, 'temp_raw-eve.fif')
cov_fname_new = op.join(tempdir, 'temp_raw-cov.fif')
proj_fname_new = op.join(tempdir, 'temp_ecg-proj.fif')
fwd_fname_new = op.join(tempdir, 'temp_raw-fwd.fif')
inv_fname_new = op.join(tempdir, 'temp_raw-inv.fif')
nirs_fname_new = op.join(tempdir, 'temp_raw-nirs.snirf')
for a, b in [[raw_fname, raw_fname_new],
[raw_fname, raw_fname_new_bids],
[ms_fname, ms_fname_new],
[events_fname, event_fname_new],
[cov_fname, cov_fname_new],
[ecg_proj_fname, proj_fname_new],
[fwd_fname, fwd_fname_new],
[inv_fname, inv_fname_new],
[nirs_fname, nirs_fname_new]]:
shutil.copyfile(a, b)
# create and add -epo.fif and -ave.fif files
epochs_fname = op.join(tempdir, 'temp-epo.fif')
evoked_fname = op.join(tempdir, 'temp-ave.fif')
# Speed it up by picking channels
raw = read_raw_fif(raw_fname_new)
raw.pick_channels(['MEG 0111', 'MEG 0121', 'EEG 001', 'EEG 002'])
raw.del_proj()
raw.set_eeg_reference(projection=True).load_data()
epochs = Epochs(raw, read_events(events_fname), 1, -0.2, 0.2)
epochs.save(epochs_fname, overwrite=True)
# This can take forever, so let's make it fast
# Also, make sure crop range is wide enough to avoid rendering bug
evoked = epochs.average()
with pytest.warns(RuntimeWarning, match='tmax is not in time interval'):
evoked.crop(0.1, 0.2)
evoked.save(evoked_fname)
report = Report(info_fname=raw_fname_new, subjects_dir=subjects_dir,
projs=False, image_format='png')
with pytest.warns(RuntimeWarning, match='Cannot render MRI'):
report.parse_folder(data_path=tempdir, on_error='raise',
n_time_points_evokeds=2, raw_butterfly=False,
stc_plot_kwargs=stc_plot_kwargs,
topomap_kwargs=topomap_kwargs)
assert repr(report)
# Check correct paths and filenames
fnames = glob.glob(op.join(tempdir, '*.fif'))
fnames.extend(glob.glob(op.join(tempdir, '*.snirf')))
titles = [op.basename(x) for x in fnames if not x.endswith('-ave.fif')]
titles.append(f'{op.basename(evoked_fname)}: {evoked.comment}')
_, _, content_titles, _ = report._content_as_html()
for title in titles:
assert title in content_titles
assert (''.join(report.html).find(title) != -1)
assert len(content_titles) == len(fnames)
# Check saving functionality
report.data_path = tempdir
fname = op.join(tempdir, 'report.html')
report.save(fname=fname, open_browser=False)
assert (op.isfile(fname))
html = Path(fname).read_text(encoding='utf-8')
# Evoked in `evoked_fname`
assert f'{op.basename(evoked_fname)}: {evoked.comment}' in html
assert 'Topographies' in html
assert 'Global field power' in html
# Check saving same report to new filename
report.save(fname=op.join(tempdir, 'report2.html'), open_browser=False)
assert (op.isfile(op.join(tempdir, 'report2.html')))
# Check overwriting file
report.save(fname=op.join(tempdir, 'report.html'), open_browser=False,
overwrite=True)
assert (op.isfile(op.join(tempdir, 'report.html')))
# Check pattern matching with multiple patterns
pattern = ['*proj.fif', '*eve.fif']
with pytest.warns(RuntimeWarning, match='Cannot render MRI'):
report.parse_folder(data_path=tempdir, pattern=pattern,
raw_butterfly=False)
assert (repr(report))
fnames = glob.glob(op.join(tempdir, '*.raw')) + \
glob.glob(op.join(tempdir, '*.raw'))
content_names = [element.name for element in report._content]
for fname in fnames:
assert (op.basename(fname) in
[op.basename(x) for x in content_names])
assert (''.join(report.html).find(op.basename(fname)) != -1)
with pytest.raises(ValueError, match='Invalid value'):
Report(image_format='foo')
with pytest.raises(ValueError, match='Invalid value'):
Report(image_format=None)
# ndarray support smoke test
report.add_figure(fig=np.zeros((2, 3, 3)), title='title')
with pytest.raises(TypeError, match='It seems you passed a path'):
report.add_figure(fig='foo', title='title')
with pytest.raises(TypeError, match='.*MNEQtBrowser.*Figure3D.*got.*'):
report.add_figure(fig=1., title='title')
def test_render_mne_qt_browser(tmp_path, browser_backend):
"""Test adding a mne_qt_browser (and matplotlib) raw plot."""
report = Report()
info = create_info(1, 1000., 'eeg')
data = np.zeros((1, 1000))
raw = RawArray(data, info)
fig = raw.plot()
name = fig.__class__.__name__
if browser_backend.name == 'matplotlib':
assert 'MNEBrowseFigure' in name
else:
assert 'MNEQtBrowser' in name or 'PyQtGraphBrowser' in name
report.add_figure(fig, title='raw')
@testing.requires_testing_data
def test_render_report_extra(renderer_pyvistaqt, tmp_path, invisible_fig):
"""Test SVG and projector rendering separately."""
# ... otherwise things are very slow
tempdir = str(tmp_path)
raw_fname_new = op.join(tempdir, 'temp_raw.fif')
shutil.copyfile(raw_fname, raw_fname_new)
report = Report(info_fname=raw_fname_new, subjects_dir=subjects_dir,
projs=True, image_format='svg')
with pytest.warns(RuntimeWarning, match='Cannot render MRI'):
report.parse_folder(data_path=tempdir, on_error='raise',
n_time_points_evokeds=2, raw_butterfly=False,
stc_plot_kwargs=stc_plot_kwargs,
topomap_kwargs=topomap_kwargs)
assert repr(report)
report.data_path = tempdir
fname = op.join(tempdir, 'report.html')
report.save(fname=fname, open_browser=False)
assert op.isfile(fname)
html = Path(fname).read_text(encoding='utf-8')
# Projectors in Raw.info
assert 'Projectors' in html
def test_add_custom_css(tmp_path):
"""Test adding custom CSS rules to the report."""
tempdir = str(tmp_path)
fname = op.join(tempdir, 'report.html')
fig = plt.figure() # Empty figure
report = Report()
report.add_figure(fig=fig, title='Test section')
custom_css = '.report_custom { color: red; }'
report.add_custom_css(css=custom_css)
assert custom_css in report.include
report.save(fname, open_browser=False)
html = Path(fname).read_text(encoding='utf-8')
assert custom_css in html
def test_add_custom_js(tmp_path):
"""Test adding custom JavaScript to the report."""
tempdir = str(tmp_path)
fname = op.join(tempdir, 'report.html')
fig = plt.figure() # Empty figure
report = Report()
report.add_figure(fig=fig, title='Test section')
custom_js = ('function hello() {\n'
' alert("Hello, report!");\n'
'}')
report.add_custom_js(js=custom_js)
assert custom_js in report.include
report.save(fname, open_browser=False)
html = Path(fname).read_text(encoding='utf-8')
assert custom_js in html
@testing.requires_testing_data
def test_render_non_fiff(tmp_path):
"""Test rendering non-FIFF files for mne report."""
tempdir = str(tmp_path)
fnames_in = [bdf_fname, edf_fname]
fnames_out = []
for fname in fnames_in:
basename = op.basename(fname)
basename, ext = op.splitext(basename)
fname_out = f'{basename}_raw{ext}'
outpath = op.join(tempdir, fname_out)
shutil.copyfile(fname, outpath)
fnames_out.append(fname_out)
report = Report()
report.parse_folder(data_path=tempdir, render_bem=False, on_error='raise',
raw_butterfly=False)
# Check correct paths and filenames
_, _, content_titles, _ = report._content_as_html()
for fname in content_titles:
assert (op.basename(fname) in
[op.basename(x) for x in content_titles])
assert len(content_titles) == len(fnames_out)
report.data_path = tempdir
fname = op.join(tempdir, 'report.html')
report.save(fname=fname, open_browser=False)
html = Path(fname).read_text(encoding='utf-8')
assert 'test_raw.bdf' in html
assert 'test_raw.edf' in html
@testing.requires_testing_data
def test_report_raw_psd_and_date(tmp_path):
"""Test report raw PSD and DATE_NONE functionality."""
with pytest.raises(TypeError, match='dict'):
Report(raw_psd='foo')
tempdir = str(tmp_path)
raw = read_raw_fif(raw_fname).crop(0, 1.).load_data()
raw.info['experimenter'] = 'mne test'
raw.info['subject_info'] = dict(id=123, his_id='sample')
raw_fname_new = op.join(tempdir, 'temp_raw.fif')
raw.save(raw_fname_new)
report = Report(raw_psd=True)
report.parse_folder(data_path=tempdir, render_bem=False,
on_error='raise', raw_butterfly=False)
assert isinstance(report.html, list)
assert 'PSD' in ''.join(report.html)
assert 'Unknown' not in ''.join(report.html)
assert 'GMT' in ''.join(report.html)
# test new anonymize functionality
report = Report()
raw.anonymize()
raw.save(raw_fname_new, overwrite=True)
report.parse_folder(data_path=tempdir, render_bem=False,
on_error='raise', raw_butterfly=False)
assert isinstance(report.html, list)
assert 'Unknown' not in ''.join(report.html)
# DATE_NONE functionality
report = Report()
# old style (pre 0.20) date anonymization
with raw.info._unlock():
raw.info['meas_date'] = None
for key in ('file_id', 'meas_id'):
value = raw.info.get(key)
if value is not None:
assert 'msecs' not in value
value['secs'] = DATE_NONE[0]
value['usecs'] = DATE_NONE[1]
raw.save(raw_fname_new, overwrite=True)
report.parse_folder(data_path=tempdir, render_bem=False,
on_error='raise', raw_butterfly=False)
assert isinstance(report.html, list)
assert 'Unknown' in ''.join(report.html)
@pytest.mark.slowtest # slow on Azure
@testing.requires_testing_data
def test_render_add_sections(renderer, tmp_path):
"""Test adding figures/images to section."""
from pyvista.plotting import plotting
tempdir = str(tmp_path)
report = Report(subjects_dir=subjects_dir)
# Check add_figure functionality
plt.close('all')
assert len(plt.get_fignums()) == 0
fig = plt.plot([1, 2], [1, 2])[0].figure
assert len(plt.get_fignums()) == 1
report.add_figure(fig=fig, title='evoked response', image_format='svg')
assert 'caption' not in report._content[-1].html
assert len(plt.get_fignums()) == 1
report.add_figure(fig=fig, title='evoked with caption', caption='descr')
assert 'caption' in report._content[-1].html
assert len(plt.get_fignums()) == 1
# Check add_image with png
img_fname = op.join(tempdir, 'testimage.png')
fig.savefig(img_fname)
report.add_image(image=img_fname, title='evoked response')
with pytest.raises(FileNotFoundError, match='does not exist'):
report.add_image(image='foobar.xxx', title='H')
evoked = read_evokeds(evoked_fname, condition='Left Auditory',
baseline=(-0.2, 0.0))
n_before = len(plotting._ALL_PLOTTERS)
fig = plot_alignment(evoked.info, trans_fname, subject='sample',
subjects_dir=subjects_dir)
n_after = n_before + 1
assert n_after == len(plotting._ALL_PLOTTERS)
report.add_figure(fig=fig, title='random image')
assert n_after == len(plotting._ALL_PLOTTERS) # not closed
assert (repr(report))
fname = op.join(str(tmp_path), 'test.html')
report.save(fname, open_browser=False)
assert len(report) == 4
@pytest.mark.slowtest
@testing.requires_testing_data
@requires_nibabel()
def test_render_mri(renderer, tmp_path):
"""Test rendering MRI for mne report."""
tempdir = str(tmp_path)
trans_fname_new = op.join(tempdir, 'temp-trans.fif')
for a, b in [[trans_fname, trans_fname_new]]:
shutil.copyfile(a, b)
report = Report(info_fname=raw_fname,
subject='sample', subjects_dir=subjects_dir)
report.parse_folder(data_path=tempdir, mri_decim=30, pattern='*')
fname = op.join(tempdir, 'report.html')
report.save(fname, open_browser=False)
html = Path(fname).read_text(encoding='utf-8')
assert 'data-mne-tags=" bem "' in html
assert repr(report)
report.add_bem(subject='sample', title='extra', tags=('foo',),
subjects_dir=subjects_dir, decim=30)
report.save(fname, open_browser=False, overwrite=True)
html = Path(fname).read_text(encoding='utf-8')
assert 'data-mne-tags=" bem "' in html
assert 'data-mne-tags=" foo "' in html
@testing.requires_testing_data
@requires_nibabel()
@pytest.mark.parametrize('n_jobs', [
1,
pytest.param(2, marks=pytest.mark.slowtest), # 1.5 sec locally
])
@pytest.mark.filterwarnings('ignore:No contour levels were.*:UserWarning')
def test_add_bem_n_jobs(n_jobs, monkeypatch):
"""Test add_bem with n_jobs."""
if n_jobs == 1: # in one case, do at init -- in the other, pass in
use_subjects_dir = None
else:
use_subjects_dir = subjects_dir
report = Report(subjects_dir=use_subjects_dir, image_format='png')
# implicitly test that subjects_dir is correctly preserved here
monkeypatch.setattr(report_mod, '_BEM_VIEWS', ('axial',))
if use_subjects_dir is not None:
use_subjects_dir = None
report.add_bem(
subject='sample', title='sample', tags=('sample',), decim=15,
n_jobs=n_jobs, subjects_dir=subjects_dir
)
assert len(report.html) == 1
imgs = np.array([plt.imread(BytesIO(base64.b64decode(b)), 'png')
for b in re.findall(r'data:image/png;base64,(\S*)">',
report.html[0])])
assert imgs.ndim == 4 # images, h, w, rgba
assert len(imgs) == 6
imgs.shape = (len(imgs), -1)
norms = np.linalg.norm(imgs, axis=-1)
# should have down-up-down shape
corr = np.corrcoef(norms, np.hanning(len(imgs)))[0, 1]
assert 0.778 < corr < 0.80
@testing.requires_testing_data
@requires_nibabel()
def test_render_mri_without_bem(tmp_path):
"""Test rendering MRI without BEM for mne report."""
tempdir = str(tmp_path)
os.mkdir(op.join(tempdir, 'sample'))
os.mkdir(op.join(tempdir, 'sample', 'mri'))
shutil.copyfile(mri_fname, op.join(tempdir, 'sample', 'mri', 'T1.mgz'))
report = Report(info_fname=raw_fname,
subject='sample', subjects_dir=tempdir)
with pytest.raises(RuntimeError, match='No matching files found'):
report.parse_folder(tempdir, render_bem=False)
with pytest.warns(RuntimeWarning, match='No BEM surfaces found'):
report.parse_folder(tempdir, render_bem=True, mri_decim=20)
assert 'BEM surfaces' in [element.name for element in report._content]
report.save(op.join(tempdir, 'report.html'), open_browser=False)
@testing.requires_testing_data
@requires_nibabel()
def test_add_html():
"""Test adding html str to mne report."""
report = Report(info_fname=raw_fname,
subject='sample', subjects_dir=subjects_dir)
html = '<b>MNE-Python is AWESOME</b>'
report.add_html(html=html, title='html')
assert (html in report.html[0])
assert (repr(report))
@testing.requires_testing_data
def test_multiple_figs(tmp_path):
"""Test adding a slider with a series of figures to a Report."""
tempdir = str(tmp_path)
report = Report(info_fname=raw_fname,
subject='sample', subjects_dir=subjects_dir)
figs = _get_example_figures()
report.add_figure(fig=figs, title='my title')
assert report._content[0].name == 'my title'
report.save(op.join(tempdir, 'report.html'), open_browser=False)
with pytest.raises(ValueError):
report.add_figure(fig=figs, title='title', caption=['wug'])
with pytest.raises(ValueError,
match='Number of captions.*must be equal to.*figures'):
report.add_figure(fig=figs, title='title', caption='wug')
# Smoke test that SVG with unicode can be added
report = Report()
fig, ax = plt.subplots()
ax.set_xlabel('µ')
report.add_figure(fig=[fig] * 2, title='title', image_format='svg')
def test_validate_input():
"""Test Report input validation."""
report = Report()
items = ['a', 'b', 'c']
captions = ['Letter A', 'Letter B', 'Letter C']
section = 'ABCs'
comments = ['First letter of the alphabet.',
'Second letter of the alphabet',
'Third letter of the alphabet']
pytest.raises(ValueError, report._validate_input, items, captions[:-1],
section, comments=None)
pytest.raises(ValueError, report._validate_input, items, captions, section,
comments=comments[:-1])
values = report._validate_input(items, captions, section, comments=None)
items_new, captions_new, comments_new = values
@requires_version('h5io')
def test_open_report(tmp_path):
"""Test the open_report function."""
tempdir = str(tmp_path)
hdf5 = op.join(tempdir, 'report.h5')
# Test creating a new report through the open_report function
fig1 = _get_example_figures()[0]
this_sub_dir = tempdir
with open_report(hdf5, subjects_dir=this_sub_dir) as report:
assert report.subjects_dir == this_sub_dir
assert report.fname == hdf5
report.add_figure(fig=fig1, title='evoked response')
# Exiting the context block should have triggered saving to HDF5
assert op.exists(hdf5)
# Load the HDF5 version of the report and check equivalence
report2 = open_report(hdf5)
assert report2.fname == hdf5
assert report2.subjects_dir == report.subjects_dir
assert report2.html == report.html
assert report2.__getstate__() == report.__getstate__()
assert '_fname' not in report2.__getstate__()
# Check parameters when loading a report
pytest.raises(ValueError, open_report, hdf5, foo='bar') # non-existing
pytest.raises(ValueError, open_report, hdf5, subjects_dir='foo')
open_report(hdf5, subjects_dir=this_sub_dir) # This should work
# Check that the context manager doesn't swallow exceptions
with pytest.raises(ZeroDivisionError):
with open_report(hdf5, subjects_dir=this_sub_dir) as report:
1 / 0
def test_remove():
"""Test removing figures from a report."""
r = Report()
fig1, fig2 = _get_example_figures()
r.add_figure(fig=fig1, title='figure1', tags=('slider',))
r.add_figure(fig=[fig1, fig2], title='figure1', tags=('othertag',))
r.add_figure(fig=fig2, title='figure1', tags=('slider',))
r.add_figure(fig=fig2, title='figure2', tags=('slider',))
# Test removal by title
r2 = copy.deepcopy(r)
removed_index = r2.remove(title='figure1')
assert removed_index == 2
assert len(r2.html) == 3
assert r2.html[0] == r.html[0]
assert r2.html[1] == r.html[1]
assert r2.html[2] == r.html[3]
# Test restricting to section
r2 = copy.deepcopy(r)
removed_index = r2.remove(title='figure1', tags=('othertag',))
assert removed_index == 1
assert len(r2.html) == 3
assert r2.html[0] == r.html[0]
assert r2.html[1] == r.html[2]
assert r2.html[2] == r.html[3]
@pytest.mark.parametrize('tags', (True, False)) # shouldn't matter
def test_add_or_replace(tags):
"""Test replacing existing figures in a report."""
# Note that tags don't matter, only titles do!
r = Report()
fig1, fig2 = _get_example_figures()
r.add_figure(fig=fig1, title='duplicate', tags=('foo',) if tags else ())
r.add_figure(fig=fig2, title='duplicate', tags=('foo',) if tags else ())
r.add_figure(fig=fig1, title='duplicate', tags=('bar',) if tags else ())
r.add_figure(fig=fig2, title='nonduplicate', tags=('foo',) if tags else ())
# By default, replace=False, so all figures should be there
assert len(r.html) == 4
assert len(r._content) == 4
old_r = copy.deepcopy(r)
# Replace our last occurrence of title='duplicate'
r.add_figure(
fig=fig2, title='duplicate', tags=('bar',) if tags else (),
replace=True,
)
assert len(r._content) == len(r.html) == 4
# This figure should have changed
assert r.html[2] != old_r.html[2]
# All other figures should be the same
assert r.html[0] == old_r.html[0]
assert r.html[1] == old_r.html[1]
assert r.html[3] == old_r.html[3]
def test_add_or_replace_section():
"""Test that sections are respected when adding or replacing."""
r = Report()
fig1, fig2 = _get_example_figures()
r.add_figure(fig=fig1, title='a', section='A')
r.add_figure(fig=fig1, title='a', section='B')
r.add_figure(fig=fig1, title='a', section='C')
# By default, replace=False, so all figures should be there
assert len(r.html) == 3
assert len(r._content) == 3
old_r = copy.deepcopy(r)
assert r.html[0] == old_r.html[0]
assert r.html[1] == old_r.html[1]
assert r.html[2] == old_r.html[2]
# Replace our one occurrence of title 'a' in section 'B'
r.add_figure(fig=fig2, title='a', section='B', replace=True)
r._dom_id = 3 # help out the .html property
assert len(r._content) == 3
assert len(r.html) == 3
assert r.html[0] == old_r.html[0]
assert r.html[1] != old_r.html[1]
assert r.html[2] == old_r.html[2]
r.add_figure(fig=fig1, title='a', section='B', replace=True)
r._dom_id = 3
assert r.html[0] == old_r.html[0]
assert r.html[1].replace('global-4', 'global-2') == old_r.html[1]
assert r.html[2] == old_r.html[2]
r.add_figure(fig=fig1, title='a', section='C', replace=True)
r._dom_id = 3
assert r.html[0] == old_r.html[0]
assert r.html[1].replace('global-4', 'global-2') == old_r.html[1]
assert r.html[2] != old_r.html[2]
def test_scraper(tmp_path):
"""Test report scraping."""
r = Report()
fig1, fig2 = _get_example_figures()
r.add_figure(fig=fig1, title='a')
r.add_figure(fig=fig2, title='b')
# Mock a Sphinx + sphinx_gallery config
app = Bunch(builder=Bunch(srcdir=str(tmp_path),
outdir=op.join(str(tmp_path), '_build', 'html')))
scraper = _ReportScraper()
scraper.app = app
gallery_conf = dict(src_dir=app.builder.srcdir, builder_name='html')
img_fname = op.join(app.builder.srcdir, 'auto_examples', 'images',
'sg_img.png')
target_file = op.join(app.builder.srcdir, 'auto_examples', 'sg.py')
os.makedirs(op.dirname(img_fname))
os.makedirs(app.builder.outdir)
block_vars = dict(image_path_iterator=(img for img in [img_fname]),
example_globals=dict(a=1), target_file=target_file)
# Nothing yet
block = None
rst = scraper(block, block_vars, gallery_conf)
assert rst == ''
# Still nothing
block_vars['example_globals']['r'] = r
rst = scraper(block, block_vars, gallery_conf)
# Once it's saved, add it
assert rst == ''
fname = op.join(str(tmp_path), 'my_html.html')
r.save(fname, open_browser=False)
rst = scraper(block, block_vars, gallery_conf)
out_html = op.join(app.builder.outdir, 'auto_examples', 'my_html.html')
assert not op.isfile(out_html)
scraper.copyfiles()
assert op.isfile(out_html)
assert rst.count('"') == 6
assert "<iframe" in rst
assert op.isfile(img_fname.replace('png', 'svg'))
@testing.requires_testing_data
@pytest.mark.parametrize('split_naming', ('neuromag', 'bids',))
def test_split_files(tmp_path, split_naming):
"""Test that in the case of split files, we only parse the first."""
raw = read_raw_fif(raw_fname)
split_size = '7MB' # Should produce 3 files
buffer_size_sec = 1 # Tiny buffer so it's smaller than the split size
raw.save(op.join(tmp_path, 'raw_meg.fif'), split_size=split_size,
split_naming=split_naming, buffer_size_sec=buffer_size_sec)
report = Report()
report.parse_folder(tmp_path, render_bem=False, raw_butterfly=False)
assert len(report._content) == 1
@pytest.mark.slowtest # ~40 sec on Azure Windows
@testing.requires_testing_data
def test_survive_pickle(tmp_path):
"""Testing functionality of Report-Object after pickling."""
tempdir = str(tmp_path)
raw_fname_new = op.join(tempdir, 'temp_raw.fif')
shutil.copyfile(raw_fname, raw_fname_new)
# Pickle report object to simulate multiprocessing with joblib
report = Report(info_fname=raw_fname_new)
pickled_report = pickle.dumps(report)
report = pickle.loads(pickled_report)
# Just test if no errors occur
report.parse_folder(tempdir, render_bem=False)
save_name = op.join(tempdir, 'report.html')
report.save(fname=save_name, open_browser=False)
@pytest.mark.slowtest # ~30 sec on Azure Windows
@requires_sklearn
@testing.requires_testing_data
def test_manual_report_2d(tmp_path, invisible_fig):
"""Simulate user manually creating report by adding one file at a time."""
from sklearn.exceptions import ConvergenceWarning
r = Report(title='My Report')
raw = read_raw_fif(raw_fname)
raw.pick_channels(raw.ch_names[:6]).crop(10, None)
raw.info.normalize_proj()
cov = read_cov(cov_fname)
cov = pick_channels_cov(cov, raw.ch_names)
events = read_events(events_fname)
event_id = {
'auditory/left': 1, 'auditory/right': 2, 'visual/left': 3,
'visual/right': 4, 'face': 5, 'buttonpress': 32
}
metadata, metadata_events, metadata_event_id = make_metadata(
events=events, event_id=event_id, tmin=-0.2, tmax=0.5,
sfreq=raw.info['sfreq']
)
epochs_without_metadata = Epochs(
raw=raw, events=events, event_id=event_id, baseline=None
)
epochs_with_metadata = Epochs(
raw=raw, events=metadata_events, event_id=metadata_event_id,
baseline=None, metadata=metadata
)
evokeds = read_evokeds(evoked_fname)
evoked = evokeds[0].pick('eeg')
with pytest.warns(ConvergenceWarning, match='did not converge'):
ica = (ICA(n_components=2, max_iter=1, random_state=42)
.fit(inst=raw.copy().crop(tmax=1)))
ica_ecg_scores = ica_eog_scores = np.array([3, 0])
ica_ecg_evoked = ica_eog_evoked = epochs_without_metadata.average()
r.add_raw(raw=raw, title='my raw data', tags=('raw',), psd=True,
projs=False)
r.add_raw(raw=raw, title='my raw data 2', psd=False, projs=False,
butterfly=1)
r.add_events(events=events_fname, title='my events',
sfreq=raw.info['sfreq'])
r.add_epochs(
epochs=epochs_without_metadata, title='my epochs', tags=('epochs',),
psd=False, projs=False
)
r.add_epochs(
epochs=epochs_without_metadata, title='my epochs 2', psd=1, projs=False
)
r.add_epochs(
epochs=epochs_without_metadata, title='my epochs 2', psd=True,
projs=False
)
assert 'Metadata' not in r.html[-1]
# Try with metadata
r.add_epochs(
epochs=epochs_with_metadata, title='my epochs with metadata',
psd=False, projs=False
)
assert 'Metadata' in r.html[-1]
with pytest.raises(
ValueError,
match='requested to calculate PSD on a duration'
):
r.add_epochs(
epochs=epochs_with_metadata, title='my epochs 2', psd=100000000,
projs=False
)
r.add_evokeds(evokeds=evoked, noise_cov=cov_fname,
titles=['my evoked 1'], tags=('evoked',), projs=False,
n_time_points=2)
r.add_projs(info=raw_fname, projs=ecg_proj_fname, title='my proj',
tags=('ssp', 'ecg'))
r.add_ica(ica=ica, title='my ica', inst=None)
with pytest.raises(RuntimeError, match='not preloaded'):
r.add_ica(ica=ica, title='ica', inst=raw)
r.add_ica(
ica=ica, title='my ica with raw inst',
inst=raw.copy().load_data(),
picks=[0],
ecg_evoked=ica_ecg_evoked,
eog_evoked=ica_eog_evoked,
ecg_scores=ica_ecg_scores,
eog_scores=ica_eog_scores
)
epochs_baseline = epochs_without_metadata.copy().load_data()
epochs_baseline.apply_baseline((None, 0))
r.add_ica(
ica=ica, title='my ica with epochs inst',
inst=epochs_baseline,
picks=[0],
)
r.add_covariance(cov=cov, info=raw_fname, title='my cov')
r.add_forward(forward=fwd_fname, title='my forward', subject='sample',
subjects_dir=subjects_dir)
r.add_html(html='<strong>Hello</strong>', title='Bold')
r.add_code(code=__file__, title='my code')
r.add_sys_info(title='my sysinfo')
# drop locations (only EEG channels in `evoked`)
evoked_no_ch_locs = evoked.copy()
for ch in evoked_no_ch_locs.info['chs']:
ch['loc'][:3] = np.nan
with pytest.warns(
RuntimeWarning,
match='No EEG channel locations found, cannot create joint plot'
):
r.add_evokeds(
evokeds=evoked_no_ch_locs, titles=['evoked no chan locs'],
tags=('evoked',), projs=False, n_time_points=1
)
assert 'Time course' not in r._content[-1].html
assert 'Topographies' not in r._content[-1].html
assert evoked.info['projs'] # only then the following test makes sense
assert 'Projectors' not in r._content[-1].html
assert 'Global field power' in r._content[-1].html
# Drop locations from Info used for projs
info_no_ch_locs = raw.info.copy()
for ch in info_no_ch_locs['chs']:
ch['loc'][:3] = np.nan
with pytest.raises(
ValueError,
match='does not contain.*channel locations'
):
r.add_projs(info=info_no_ch_locs, title='Projs no chan locs')
# Drop locations from ICA
ica_no_ch_locs = ica.copy()
for ch in ica_no_ch_locs.info['chs']:
ch['loc'][:3] = np.nan
with pytest.warns(
RuntimeWarning,
match='No Magnetometers channel locations'
):
r.add_ica(
ica=ica_no_ch_locs, picks=[0],
inst=raw.copy().load_data(), title='ICA'
)
assert 'ICA component properties' not in r._content[-1].html
assert 'ICA component topographies' not in r._content[-1].html
assert 'Original and cleaned signal' in r._content[-1].html
fname = op.join(tmp_path, 'report.html')
r.save(fname=fname, open_browser=False)
@pytest.mark.slowtest # 30 sec on Azure
@testing.requires_testing_data
def test_manual_report_3d(tmp_path, renderer):
"""Simulate adding 3D sections."""
r = Report(title='My Report')
info = read_info(raw_fname)
with info._unlock():
dig, info['dig'] = info['dig'], []
add_kwargs = dict(trans=trans_fname, info=info, subject='sample',
subjects_dir=subjects_dir)
with pytest.warns(RuntimeWarning, match='could not be calculated'):
r.add_trans(title='coreg no dig', **add_kwargs)
with info._unlock():
info['dig'] = dig
# TODO: We should probably speed this up. We could expose an arg to allow
# use of sparse rather than dense head, and also possibly an arg to specify
# which views to actually show. Both of these could probably be useful to
# end-users, too.
r.add_trans(title='my coreg', **add_kwargs)
r.add_bem(subject='sample', subjects_dir=subjects_dir, title='my bem',
decim=100)
r.add_inverse_operator(
inverse_operator=inv_fname, title='my inverse', subject='sample',
subjects_dir=subjects_dir, trans=trans_fname
)
r.add_stc(
stc=stc_fname, title='my stc', subject='sample',
subjects_dir=subjects_dir, n_time_points=2,
stc_plot_kwargs=stc_plot_kwargs,
)
fname = op.join(tmp_path, 'report.html')
r.save(fname=fname, open_browser=False)
def test_sorting(tmp_path):
"""Test that automated ordering based on tags works."""
r = Report()
r.add_code(code='E = m * c**2', title='intelligence >9000', tags=('bem',))
r.add_code(code='a**2 + b**2 = c**2', title='Pythagoras', tags=('evoked',))
r.add_code(code='🧠', title='source of truth', tags=('source-estimate',))
r.add_code(code='🥦', title='veggies', tags=('raw',))
# Check that repeated calls of add_* actually continuously appended to
# the report
orig_order = ['bem', 'evoked', 'source-estimate', 'raw']
assert [c.tags[0] for c in r._content] == orig_order
# Now check the actual sorting
content_sorted = r._sort(content=r._content, order=CONTENT_ORDER)
expected_order = ['raw', 'evoked', 'bem', 'source-estimate']
assert content_sorted != r._content
assert [c.tags[0] for c in content_sorted] == expected_order
r.save(fname=op.join(tmp_path, 'report.html'), sort_content=True,
open_browser=False)
@pytest.mark.parametrize(
('tags', 'str_or_array', 'wrong_dtype', 'invalid_chars'),
[
# wrong dtype
(123, False, True, False),
([1, 2, 3], True, True, False),
(['foo', 1], True, True, False),
# invalid characters
(['foo bar'], True, False, True),
(['foo"'], True, False, True),
(['foo\n'], True, False, True),
# all good
('foo', True, False, False),
(['foo'], True, False, False),
(['foo', 'bar'], True, False, False),
(np.array(['foo', 'bar']), True, False, False)
]
)
def test_tags(tags, str_or_array, wrong_dtype, invalid_chars):
"""Test handling of invalid tags."""
r = Report()
if not str_or_array:
with pytest.raises(TypeError, match='must be a string.*or an array.*'):
r.add_code(code='foo', title='bar', tags=tags)
elif wrong_dtype:
with pytest.raises(TypeError, match='tags must be strings'):
r.add_code(code='foo', title='bar', tags=tags)
elif invalid_chars:
with pytest.raises(ValueError, match='contained invalid characters'):
r.add_code(code='foo', title='bar', tags=tags)
else:
r.add_code(code='foo', title='bar', tags=tags)