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#
# Copyright 2017 CNIT - Consorzio Nazionale Interuniversitario per le Telecomunicazioni
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import json
import logging
import copy
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger('RdclGraph')
class RdclGraph(object):
""" Operates on the graph representation used for the GUI graph views """
node_t3d_base = {
'info': {
'property': {
'custom_label': '',
},
'type': '',
'group': []
}
}
def __init__(self):
pass
def add_link(self, source, target, view, group, graph_object, optional={}):
if (source is None) or (target is None):
return
edge_obj = {
'source': source,
'target': target,
'view': view,
'group': [group],
}
edge_obj.update(optional)
if edge_obj not in graph_object['edges']:
graph_object['edges'].append(edge_obj)
def add_node(self, id, type, group, positions, graph_object, optional={}):
if id is None:
return
node = next((x for x in graph_object['vertices'] if x['id'] == id), None)
if node is not None:
node['info']['group'].append(group)
else:
node = copy.deepcopy(self.node_t3d_base)
node['id'] = id
node['info']['type'] = type
if group is not None:
node['info']['group'].append(group)
if positions and id in positions['vertices'] and 'x' in positions['vertices'][id] and 'y' in positions['vertices'][id]:
node['fx'] = positions['vertices'][id]['x']
node['fy'] = positions['vertices'][id]['y']
node['info'].update(optional)
graph_object['vertices'].append(node)
def is_directed_edge(self, source_type=None, target_type=None, layer=None, model={}):
if source_type is None or target_type is None or layer is None:
return None
if layer in model['layer'] and 'allowed_edges' in model['layer'][layer]:
if source_type in model['layer'][layer]['allowed_edges'] and target_type in model['layer'][layer]['allowed_edges'][source_type]['destination']:
edge_pro = model['layer'][layer]['allowed_edges'][source_type]['destination'][target_type]
return edge_pro['direct_edge'] if 'direct_edge' in edge_pro else False
return None