def get_segment_data():
'''view returning the response for the segment data (and/or metadata)'''
data = request.get_json()
seg_index = data['seg_index'] # this must be present
seg_id = core.get_segment_id(get_session(current_app), seg_index)
plot_indices = data.get('plot_indices', [])
preprocessed = data.get('pre_processed', False)
zooms = data.get('zooms', None)
all_components = data.get('all_components', False)
metadata = data.get('metadata', False)
classes = data.get('classes', False)
config = data.get('config', {})
return jsonify(
core.get_segment_data(get_session(current_app), seg_id,
core.get_plot_manager(), plot_indices,
all_components, preprocessed, zooms, metadata,
classes, config))
def init():
data = request.get_json()
segment_select_conditions = data.get('segment_select', None)
# Note: data.get('segment_orderby', None) is not anymore implemented in the config
# it will default to None (order by event time desending and by event_distance ascending)
dic = core.init(get_session(current_app), segment_select_conditions,
data.get('segment_orderby', None),
data.get('metadata', False), data.get('classes', False))
return jsonify(dic)
def set_selection():
try:
data = request.get_json()
segment_select_conditions = data.get('segment_select', None)
# Note: data.get('segment_orderby', None) is not anymore implemented in the config
# it will default to None (order by event time desending and by event_distance ascending)
num_segments = core.get_segments_count(get_session(current_app),
segment_select_conditions)
# set the plot manager new condition at the end: in case of errors
# (e.g. overflow integer in 'id') we do not change the previous selection condition
# with a erroneous one
core.get_plot_manager(
).config['segment_select'] = segment_select_conditions or {}
return jsonify({'num_segments': num_segments, 'error_msg': ''})
except Exception as exc:
return jsonify({'num_segments': 0, 'error_msg': str(exc)})
def main():
plotmanager = core.create_plot_manager(current_app.config['pyfile'],
current_app.config['configfile'])
config = plotmanager.config or {}
configure_classes(get_session(current_app), config.get('class_labels', []))
ud_plots = plotmanager.userdefined_plots
settings = {
'segment_select': config.get('segment_select', {}),
'hasPreprocessFunc': plotmanager.has_preprocessfunc
}
# pop keys not to be shown in the gui config form (either already processed, or not
# regarding plot settings:
config.pop('class_labels', None)
# create a flatten dict by joining nested dict keys with the dot:
settings['config'] = core.flatten_dict(config)
# filterfunc_doc = current_app.config['PLOTMANAGER'].get_filterfunc_doc.replace("\n", "<p>")
return render_template(
'mainapp.html',
title=secure_dburl(current_app.config["DATABASE"]),
settings=settings,
rightPlots=[_ for _ in ud_plots if _['position'] == 'r'],
bottomPlots=[_ for _ in ud_plots if _['position'] == 'b'],
preprocessfunc_doc=plotmanager.get_doc(-1))
def set_class_id():
json_req = request.get_json()
core.set_class_id(get_session(current_app), json_req['segment_id'],
json_req['class_id'], json_req['value'])
# the above raises, otherwise return empty json to signal success:
return jsonify({})
def session(self):
'''returns the db session by using the same function used from the Flask app
i.e., DO NOT CALL `db.session` in the tests methods but `self.session`'''
return get_session(self.app)