def test_single_evaluator():
broker = dr.Broker()
e = SingleEvaluator(broker)
graph = dr.get_dependency_graph(report)
result1 = e.process(graph)
broker = dr.Broker()
with SingleEvaluator(broker) as e:
dr.run(report, broker=broker)
result2 = e.get_response()
assert result1 == result2
def test_single_evaluator():
broker = dr.Broker()
e = SingleEvaluator(broker)
graph = dr.get_dependency_graph(report)
result1 = e.process(graph)
broker = dr.Broker()
with SingleEvaluator(broker) as e:
dr.run(report, broker=broker)
result2 = e.get_response()
assert result1["reports"] == result2["reports"]
for k in ["start", "finish", "execution_context", "plugin_sets"]:
assert k in result1["analysis_metadata"]
assert k in result2["analysis_metadata"]
def hydrate_new_dir(path, broker=None):
broker = broker or dr.Broker()
for root, dirs, names in os.walk(path):
for name in names:
p = os.path.join(root, name)
with open(p) as f:
serde.hydrate(serde.ser.load(f), broker)
return SingleEvaluator(broker=broker)
def create_evaluator(tmp_dir, system_id):
from insights.core.hydration import create_context
broker = dr.Broker()
ctx = create_context(tmp_dir)
broker[ctx.__class__] = ctx
if system_id:
return InsightsEvaluator(broker=broker, system_id=system_id)
return SingleEvaluator(broker=broker)
class EvaluatorFormatter(Formatter):
"""
Base class for formatters that want to serialize a SingleEvaluator after
execution.
"""
def __init__(self, args=None):
if args:
hn = "insights.combiners.hostname"
args.plugins = ",".join([args.plugins, hn]) if args.plugins else hn
def preprocess(self, broker):
self.evaluator = SingleEvaluator(broker=broker)
def postprocess(self, broker):
self.evaluator.post_process()
print(self.dump(self.evaluator.get_response()))
def dump(self, data):
raise NotImplemented("Subclasses must implement the dump method.")
def preprocess(self, broker):
self.evaluator = SingleEvaluator(broker=broker)