def graph_templates_autocompleter(value: str, params: Dict) -> Choices:
"""Return the matching list of dropdown choices
Called by the webservice with the current input field value and the
completions_params to get the list of choices"""
if not params.get("context") and params.get("strict", "False") == "False":
choices: Iterable[Tuple[str, str]] = ((
graph_id,
str(graph_details.get(
"title",
graph_id,
)),
) for graph_id, graph_details in graph_info.items())
else:
columns = [
"service_check_command",
"service_perf_data",
"service_metrics",
]
choices = set(
chain.from_iterable(
_graph_choices_from_livestatus_row(row) for row in
livestatus_query_bare("service", params["context"], columns)))
return sorted((v for v in choices if value.lower() in v[1].lower()),
key=lambda a: a[1].lower())
def metrics_of_query(
context: VisualContext,
) -> Iterator[Choice]:
# Fetch host data with the *same* query. This saves one round trip. And head
# host has at least one service
columns = [
"service_description",
"service_check_command",
"service_perf_data",
"service_metrics",
"host_check_command",
"host_metrics",
]
row = {}
for row in livestatus_query_bare("service", context, columns):
parsed_perf_data, check_command = parse_perf_data(
row["service_perf_data"], row["service_check_command"]
)
known_metrics = set([perf[0] for perf in parsed_perf_data] + row["service_metrics"])
yield from metric_choices(str(check_command), tuple(map(str, known_metrics)))
if row.get("host_check_command"):
yield from metric_choices(
str(row["host_check_command"]), tuple(map(str, row["host_metrics"]))
)
