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"""
Examples to show usage of the azure-core-tracing-opentelemetry
with the Eventhub SDK.
This example traces calls for sending a batch to eventhub.
An alternative path to export using AzureMonitor is also mentioned in the sample. Please take
a look at the commented code.
"""
# Declare OpenTelemetry as enabled tracing plugin for Azure SDKs
from azure.core.settings import settings
from azure.core.tracing.ext.opentelemetry_span import OpenTelemetrySpan
settings.tracing_implementation = OpenTelemetrySpan
# In the below example, we use a simple console exporter, uncomment these lines to use
# the Azure Monitor Exporter. It can be installed from https://pypi.org/project/opentelemetry-azure-monitor/
# Example of Azure Monitor exporter, but you can use anything OpenTelemetry supports
# from azure_monitor import AzureMonitorSpanExporter
# exporter = AzureMonitorSpanExporter(
# instrumentation_key="uuid of the instrumentation key (see your Azure Monitor account)"
# )
# Regular open telemetry usage from here, see https://github.com/open-telemetry/opentelemetry-python
# for details
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import ConsoleSpanExporter
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
# Simple console exporter
exporter = ConsoleSpanExporter()
trace.set_tracer_provider(TracerProvider())
tracer = trace.get_tracer(__name__)
trace.get_tracer_provider().add_span_processor(
SimpleSpanProcessor(exporter)
)
from azure.eventhub import EventHubProducerClient, EventData, EventHubConsumerClient
import os
FULLY_QUALIFIED_NAMESPACE = os.environ['EVENT_HUB_HOSTNAME']
EVENTHUB_NAME = os.environ['EVENT_HUB_NAME']
credential = os.environ['EVENTHUB_CONN_STR']
def on_event(partition_context, event):
# Put your code here.
# If the operation is i/o intensive, multi-thread will have better performance.
print("Received event from partition: {}.".format(partition_context.partition_id))
def on_partition_initialize(partition_context):
# Put your code here.
print("Partition: {} has been initialized.".format(partition_context.partition_id))
def on_partition_close(partition_context, reason):
# Put your code here.
print("Partition: {} has been closed, reason for closing: {}.".format(
partition_context.partition_id,
reason
))
def on_error(partition_context, error):
# Put your code here. partition_context can be None in the on_error callback.
if partition_context:
print("An exception: {} occurred during receiving from Partition: {}.".format(
partition_context.partition_id,
error
))
else:
print("An exception: {} occurred during the load balance process.".format(error))
with tracer.start_as_current_span(name="MyApplication"):
consumer_client = EventHubConsumerClient.from_connection_string(
conn_str=credential,
consumer_group='$Default',
eventhub_name=EVENTHUB_NAME,
)
try:
with consumer_client:
consumer_client.receive(
on_event=on_event,
on_partition_initialize=on_partition_initialize,
on_partition_close=on_partition_close,
on_error=on_error,
starting_position="-1", # "-1" is from the beginning of the partition.
)
except KeyboardInterrupt:
print('Stopped receiving.')
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