def run_agent(self, agent_yaml):
with start_fake_backend() as backend:
with self.run_tunnels(backend) as pod_ip:
agent = Agent(
agent_image_name=self.agent_image_name,
cluster=self,
namespace=self.test_namespace,
fake_services=backend,
fake_services_pod_ip=pod_ip,
)
with agent.deploy(agent_yaml):
try:
yield agent
finally:
print("\nDatapoints received:")
for dp in backend.datapoints or []:
print_dp_or_event(dp)
print("\nEvents received:")
for event in backend.events or []:
print_dp_or_event(event)
print(f"\nDimensions set: {backend.dims}")
print("\nTrace spans received:")
for span in backend.spans or []:
print(span)
def run_agent(self,
agent_image,
config=None,
observer=None,
monitors=None,
namespace="default"):
"""
Start the fake backend services and configure/create the k8s agent resources within the minikube container.
Required Argument:
agent_image: Object returned from the agent_image fixture containing the agent image's name, tag, and id.
Optional Arguments:
config: Configuration YAML for the agent (overwrites the configmap agent.yaml).
If not None, takes precedence over `observer` and `monitors` arguments (default: None).
observer: Name of the observer to set in the configmap agent.yaml (default: None).
monitors: List of monitors to set in the configmap agent.yaml (default: []).
namespace: Namespace for the agent (default: "default").
"""
if not monitors:
monitors = []
with start_fake_backend(ip_addr=get_host_ip()) as backend:
options = dict(
image_name=agent_image["name"],
image_tag=agent_image["tag"],
observer=observer,
monitors=monitors,
config=config,
cluster_name=self.cluster_name,
namespace=namespace,
backend=backend,
)
with self.agent.deploy(**options):
try:
yield self.agent, backend
finally:
if backend.datapoints:
print("\nDatapoints received:")
for dp in backend.datapoints:
print_dp_or_event(dp)
if backend.events:
print("\nEvents received:")
for event in backend.events:
print_dp_or_event(event)