def get_compute_node_view(self,
compute_node_hostnames,
ts_from=None,
ts_to=None,
name_filtering_support=False):
"""
Returns a view for the compute node.
"""
res = None
if isinstance(compute_node_hostnames, str):
res = self._get_compute_node_subgraph(compute_node_hostnames,
ts_from, ts_to)
elif isinstance(compute_node_hostnames, list):
res = self._get_network_subgraph(ts_from, ts_to)
for hostname in compute_node_hostnames:
if isinstance(hostname, str):
graph = self._get_compute_node_subgraph(
hostname, ts_from, ts_to)
if len(graph.nodes()) > 0:
graphs.merge_graph(res, graph)
if name_filtering_support:
for node in res.nodes(data=True):
name = InfoGraphNode.get_name(node)
InfoGraphNode.set_attribute(node, 'node_name', name)
return res
def get_workload_view_graph(self,
stack_names,
ts_from=None,
ts_to=None,
name_filtering_support=False):
"""
Returns a graph which only includes the resources related to the
execution of the stack names indicated in the input parameter
"""
res = None
if isinstance(stack_names, str):
res = self._get_workload_subgraph(stack_names, ts_from, ts_to)
# TODO - URGENT: Check this with the new Lanscape
elif isinstance(stack_names, list):
temp_res = list()
for stack_name in stack_names:
graph = self._get_workload_subgraph(str(stack_name), ts_from,
ts_to)
if len(graph.nodes()) > 0:
temp_res.append(graph)
for graph in temp_res:
if not res and len(graph.nodes()) > 0:
res = graph
elif len(graph.nodes()) > 0:
# TODO - URGENT: Fix this. Put Merge within the analytics
res = graphs.merge_graph(res, graph)
# TODO - URGENT: Check this with the new Lanscape
machine_count = 0
for node in res.nodes(data=True):
if InfoGraphNode.node_is_machine(node):
machine_count += 1
if name_filtering_support:
for node in res.nodes(data=True):
name = InfoGraphNode.get_name(node)
InfoGraphNode.set_attribute(node, 'node_name', name)
return res
