def _get_combined_graph_identifications(self, request):
try:
from cmk.gui.cee.plugins.metrics.graphs import (
combined_graph_presentations,
matching_combined_graphs,
)
except ImportError:
raise MKGeneralException(
_("Currently not supported with this Checkmk Edition"))
if "presentation" not in request:
request["presentation"] = "sum"
presentation = request["presentation"]
if presentation not in combined_graph_presentations:
raise MKGeneralException(
_("The requested item %s does not exist") % presentation)
# Because grafana connector <= 1.1.0 sends empty string when no site filter is
# applied, yet cmk takes takes context['site'] as enforced thus "" is an applied site filter
if "site" in request["context"] and not request["context"]["site"]:
request["context"].pop("site")
# The grafana connector needs the template title for making them
# selectable by the user. We extend the graph identification here.
# Otherwise we would need more API calls
response = []
for graph_identification in matching_combined_graphs(request):
graph_template_id = graph_identification[1]["graph_template"]
graph_title = dict(get_graph_template_choices()).get(
graph_template_id, graph_template_id)
response.append({
"identification": graph_identification,
"title": graph_title,
})
return response
def _get_combined_graph_identifications(self, request):
try:
from cmk.gui.cee.plugins.metrics.graphs import (
combined_graph_presentations,
matching_combined_graphs,
)
except ImportError:
raise MKGeneralException(_("Currently not supported with this Check_MK Edition"))
presentation = request.get("presentation", "sum")
if presentation not in combined_graph_presentations:
raise MKGeneralException(_("The requested item %s does not exist") % presentation)
single_infos = request["single_infos"]
datasource_name = request["datasource"]
context = request["context"]
# The grafana connector needs the template title for making them
# selectable by the user. We extend the graph identification here.
# Otherwise we would need more API calls
response = []
for graph_identification in matching_combined_graphs(datasource_name, single_infos,
presentation, context):
graph_template_id = graph_identification[1]["graph_template"]
graph_title = dict(get_graph_template_choices()).get(graph_template_id,
graph_template_id)
response.append({
"identification": graph_identification,
"title": graph_title,
})
return response