fwd_inf = join(settings.IMAGE_DIR, 'custom', fwd_inf)
if exists(rev_inf):
images = [
CustomAnalysisImage(name='%s (consistency)' % custom.name,
image_file=fwd_inf,
label='%s (consistency)' % custom.name,
stat='z-score',
display=1,
download=1),
CustomAnalysisImage(name='%s (specificity)' % custom.name,
image_file=rev_inf,
label='%s (specificity)' % custom.name,
stat='z-score',
display=1,
download=1)
]
custom.images = images
custom.last_run_at = dt.datetime.utcnow()
db.session.add(custom)
db.session.commit()
return redirect(
url_for('analyses.show_custom_analysis', uid=uid))
return error_page("An unspecified error occurred while trying "
"to run the custom meta-analysis. Please try "
"again.")
return redirect(url_for('analyses.show_custom_analysis', uid=uid))
add_blueprint(bp)
@bp.route('/<string:uuid>/scatter/<string:analysis>')
def get_scatter(uuid, analysis):
outfile = join(settings.DECODING_SCATTERPLOTS_DIR,
uuid + '_' + analysis + '.png')
if not exists(outfile):
""" Return .png of scatterplot between the uploaded image and specified
analysis. """
dec = Decoding.query.filter_by(uuid=uuid).first()
if dec is None:
abort(404)
result = tasks.make_scatterplot.delay(
dec.filename, analysis, dec.uuid, outfile=outfile,
x_lab=dec.name).wait()
if not exists(outfile):
abort(404)
return send_file(
outfile, as_attachment=False, attachment_filename=basename(outfile))
### API ROUTES ###
@bp.route('/data/')
def get_data_api():
if 'url' in request.args:
id = decode_url(request.args['url'], render=False)
elif 'neurovault' in request.args:
id = decode_neurovault(request.args['neurovault'], render=False)
return get_data(id)
add_blueprint(bp)