Source code for tvb.core.entities.filters.factory
# -*- coding: utf-8 -*-
#
#
# TheVirtualBrain-Framework Package. This package holds all Data Management, and
# Web-UI helpful to run brain-simulations. To use it, you also need to download
# TheVirtualBrain-Scientific Package (for simulators). See content of the
# documentation-folder for more details. See also http://www.thevirtualbrain.org
#
# (c) 2012-2023, Baycrest Centre for Geriatric Care ("Baycrest") and others
#
# This program is free software: you can redistribute it and/or modify it under the
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# PARTICULAR PURPOSE. See the GNU General Public License for more details.
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# program. If not, see <http://www.gnu.org/licenses/>.
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"""
.. moduleauthor:: Bogdan Neacsa <bogdan.neacsa@codemart.ro>
"""
import json
import six
import tvb.core.entities.model.model_operation as model
from tvb.core.entities.filters.chain import FilterChain
[docs]class StaticFiltersFactory(object):
"""
Factory class to build lists with static used filters through the application.
"""
RELEVANT_VIEW = "Relevant view"
FULL_VIEW = "Full view"
[docs] @staticmethod
def build_datatype_filters(selected=RELEVANT_VIEW, single_filter=None):
"""
Return all visibility filters for data structure page, or only one filter.
"""
filters = {StaticFiltersFactory.FULL_VIEW: FilterChain(StaticFiltersFactory.FULL_VIEW),
StaticFiltersFactory.RELEVANT_VIEW: FilterChain(StaticFiltersFactory.RELEVANT_VIEW,
[FilterChain.datatype + '.visible'],
[True], operations=["=="])}
if selected is None or len(selected) == 0:
selected = StaticFiltersFactory.RELEVANT_VIEW
if selected in filters:
filters[selected].selected = True
if single_filter is not None:
if single_filter in filters:
return filters[single_filter]
else:
# We have some custom filter to build
return StaticFiltersFactory._build_custom_filter(single_filter)
return list(filters.values())
@staticmethod
def _build_custom_filter(filter_data):
"""
Param filter_data should be at this point a dictionary of the form:
{'type' : 'filter_type', 'value' : 'filter_value'}
If 'filter_type' is not handled just return None.
"""
filter_data = json.loads(filter_data)
if filter_data['type'] == 'from_burst':
return FilterChain('Burst', ['BurstConfiguration.id'],
[filter_data['value']], operations=["=="])
return None
[docs] @staticmethod
def build_operations_filters(simulation_algorithm, logged_user_id):
"""
:returns: list of filters that can be applied on Project View Operations page.
"""
new_filters = []
# Filter by algorithm / categories
new_filter = FilterChain("Omit Views", [FilterChain.algorithm_category + '.display'],
[False], operations=["=="])
new_filters.append(new_filter)
new_filter = FilterChain("Only Upload", [FilterChain.algorithm_category + '.rawinput'],
[True], operations=["=="])
new_filters.append(new_filter)
if simulation_algorithm is not None:
new_filter = FilterChain("Only Simulations", [FilterChain.algorithm + '.id'],
[simulation_algorithm.id], operations=["=="])
new_filters.append(new_filter)
# Filter by operation status
filtered_statuses = {model.STATUS_STARTED: "Only Running",
model.STATUS_ERROR: "Only with Errors",
model.STATUS_CANCELED: "Only Canceled",
model.STATUS_FINISHED: "Only Finished",
model.STATUS_PENDING: "Only Pending"}
for status, title in six.iteritems(filtered_statuses):
new_filter = FilterChain(title, [FilterChain.operation + '.status'], [status], operations=["=="])
new_filters.append(new_filter)
# Filter by author
new_filter = FilterChain("Only mine", [FilterChain.operation + '.fk_launched_by'],
[logged_user_id], operations=["=="])
new_filters.append(new_filter)
# Filter by other flags
new_filter = FilterChain("Only relevant", [FilterChain.operation + '.visible'], [True], operations=["=="])
new_filter.selected = True
new_filters.append(new_filter)
return new_filters