def convert_to_dynetml(self, is_entire_file=False):
"""
Converts the graph to dynetml and returns a BeautifulSoup tag
:param is_entire_file: if True, wraps value as a soup. If False, returns the top tag
:type is_entire_file: bool
:return: bs4.element.Tag
:raise TypeError: if is_entire_file isn't a bool
"""
dmlpu.check_type(is_entire_file, 'is_entire_file', bool)
bs = BeautifulSoup(features='xml')
bs.append(bs.new_tag('MetaNetwork'))
for attr in self.attributes:
bs.MetaNetwork[attr] = dmlpu.unformat_prop(self.attributes[attr])
bs.MetaNetwork.append(dmlpu.get_property_identities_tag(self.propertyIdentities))
bs.MetaNetwork.append(bs.new_tag('properties'))
for key in self.properties:
prop_tag = bs.new_tag('property')
prop_tag['id'] = key
prop_tag['value'] = dmlpu.unformat_prop(self.properties[key])
bs.MetaNetwork.properties.append(prop_tag)
bs.MetaNetwork.append(bs.new_tag('nodes'))
for class_type in self.__node_tree:
for class_id in self.__node_tree[class_type]:
nodeclass_tag = bs.new_tag('nodeclass', type=class_type, id=class_id)
nodeclass_tag.append(dmlpu.get_property_identities_tag(self.__node_tree[class_type][class_id][0]))
for key in self.__node_tree[class_type][class_id][1]:
node_tag = bs.new_tag('node', id=key)
for attr in self.__node_tree[class_type][class_id][1][key][0]:
node_tag[attr] = dmlpu.unformat_prop(self.__node_tree[class_type][class_id][1][key][0][attr])
node_tag.append(dmlpu.get_properties_tag(self.__node_tree[class_type][class_id][1][key][1]))
nodeclass_tag.append(node_tag)
bs.MetaNetwork.nodes.append(nodeclass_tag)
networks_tag = self._get_networks_tag()
bs.MetaNetwork.networks.append(networks_tag)
if not is_entire_file:
bs = bs.MetaNetwork
return bs
def convert_to_dynetml(self):
"""Converts the graph to DyNetML and returns an :class:`lxml._Element`"""
# bs = BeautifulSoup(features='xml')
# bs.append(bs.new_tag('MetaNetwork'))
#
# for attr in self.attributes:
# bs.MetaNetwork[attr] = dmlpu.unformat_prop(self.attributes[attr])
#
# bs.MetaNetwork.append(dmlpu.get_property_identities_tag(self.propertyIdentities))
#
# bs.MetaNetwork.append(bs.new_tag('properties'))
# for key in self.properties:
# prop_tag = bs.new_tag('property')
# prop_tag['id'] = key
# prop_tag['value'] = dmlpu.unformat_prop(self.properties[key])
# bs.MetaNetwork.properties.append(prop_tag)
#
# bs.MetaNetwork.append(bs.new_tag('nodes'))
# for class_type in self.__node_tree:
# for class_id in self.__node_tree[class_type]:
# nodeclass_tag = bs.new_tag('nodeclass', type=class_type, id=class_id)
# nodeclass_tag.append(dmlpu.get_property_identities_tag(self.__node_tree[class_type][class_id][0]))
#
# for key in self.__node_tree[class_type][class_id][1]:
# node_tag = bs.new_tag('node', id=key)
# for attr in self.__node_tree[class_type][class_id][1][key][0]:
# node_tag[attr] = dmlpu.unformat_prop(self.__node_tree[class_type][class_id][1][key][0][attr])
# node_tag.append(dmlpu.get_properties_tag(self.__node_tree[class_type][class_id][1][key][1]))
# nodeclass_tag.append(node_tag)
#
# bs.MetaNetwork.nodes.append(nodeclass_tag)
#
# networks_tag = self._get_networks_tag()
# bs.MetaNetwork.networks.append(networks_tag)
#
# if not is_entire_file:
# bs = bs.MetaNetwork
#
# return bs
mn = etree.Element('MetaNetwork')
for attr in self.attributes:
mn.attrib[attr] = dmlpu.unformat_prop(self.attributes[attr])
etree.SubElement(mn, dmlpu.get_property_identities_tag(self.propertyIdentities))
properties_tag = etree.SubElement(mn, 'properties')
for key in self.properties:
prop_tag = etree.SubElement(properties_tag, 'property')
prop_tag.attrib['id'] = key
prop_tag['value'] = dmlpu.unformat_prop(self.properties[key])
nodes_tag = etree.SubElement(mn, 'nodes')
for class_type in self.__node_tree:
for class_id in self.__node_tree[class_type]:
nodeclass_tag = etree.SubElement(nodes_tag, 'nodeclass', attrib={'type': class_type, 'id': class_id})
etree.SubElement(nodeclass_tag,
dmlpu.get_property_identities_tag(self.__node_tree[class_type][class_id][0]))
etree.SubElement(mn, self._get_networks_tag())
return mn
