def create_graph_recipes(self, ident_info, destination=None):
graph_identification_info = ident_info
def get_info(key):
try:
return graph_identification_info[key]
except KeyError:
raise MKUserError(
None,
_("Graph identification: The '%s' attribute is missing") %
key)
site = get_info('site')
host_name = get_info('host_name')
service_description = get_info('service_description')
row = get_graph_data_from_livestatus(site, host_name,
service_description)
translated_metrics = translated_metrics_from_row(row)
graph_recipes = []
for index, graph_template in matching_graph_templates(
graph_identification_info,
translated_metrics,
):
graph_recipe = create_graph_recipe_from_template(
graph_template,
translated_metrics,
row,
)
# Put the specification of this graph into the graph_recipe
spec_info = graph_identification_info.copy()
spec_info["graph_index"] = index
graph_recipe["specification"] = ("template", spec_info)
graph_recipes.append(graph_recipe)
return graph_recipes
def _graph_choices_from_livestatus_row(row) -> Iterable[Tuple[str, str]]:
def _metric_title_from_id(metric_or_graph_id: MetricName) -> str:
metric_id = metric_or_graph_id.replace("METRIC_", "")
return str(metric_info.get(metric_id, {}).get("title", metric_id))
def _graph_template_title(graph_template: Mapping) -> str:
return str(graph_template.get("title")) or _metric_title_from_id(
graph_template["id"])
yield from ((
template["id"],
_graph_template_title(template),
) for template in get_graph_templates(translated_metrics_from_row(row)))
def create_graph_recipes(self,
ident_info,
destination=None) -> Sequence[GraphRecipe]:
graph_identification_info = ident_info
def get_info(key):
try:
return graph_identification_info[key]
except KeyError:
raise MKUserError(
None,
_("Graph identification: The '%s' attribute is missing") %
key)
site = get_info("site")
host_name = get_info("host_name")
service_description = get_info("service_description")
row = get_graph_data_from_livestatus(site, host_name,
service_description)
translated_metrics = translated_metrics_from_row(row)
graph_recipes = []
for index, graph_template in matching_graph_templates(
graph_identification_info,
translated_metrics,
):
graph_template_tuned = self.template_tuning(
graph_template,
site=site,
host_name=host_name,
service_description=service_description,
destination=destination,
)
if graph_template_tuned is None:
continue
graph_recipe = create_graph_recipe_from_template(
graph_template_tuned,
translated_metrics,
row,
)
# Put the specification of this graph into the graph_recipe
spec_info = graph_identification_info.copy()
# Performance graph dashlets already use graph_id, but for example in reports, we still
# use graph_index. We should switch to graph_id everywhere (CMK-7308). Once this is
# done, we can remove the line below.
spec_info["graph_index"] = index
spec_info["graph_id"] = graph_template_tuned["id"]
graph_recipe["specification"] = ("template", spec_info)
graph_recipes.append(graph_recipe)
return graph_recipes