def __init__(self, arguments):
super().__init__(arguments)
# auth configuration
connection_string = self.get_from_env(
"APPLICATIONINSIGHTS_CONNECTION_STRING")
# Create clients
self.exporter = AzureMonitorTraceExporter.from_connection_string(
connection_string)
trace.set_tracer_provider(TracerProvider())
tracer = trace.get_tracer(__name__)
self.spans_list = []
for _ in range(self.args.num_spans):
with tracer.start_as_current_span(name="name") as span:
self.spans_list.append(span)
import requests
from opentelemetry import trace
from opentelemetry.instrumentation.flask import FlaskInstrumentor
from opentelemetry.instrumentation.requests import RequestsInstrumentor
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchExportSpanProcessor
import flask
from azure.monitor.opentelemetry.exporter import AzureMonitorTraceExporter
# The preferred tracer implementation must be set, as the opentelemetry-api
# defines the interface with a no-op implementation.
trace.set_tracer_provider(TracerProvider())
tracer = trace.get_tracer(__name__)
exporter = AzureMonitorTraceExporter.from_connection_string(
os.environ["APPLICATIONINSIGHTS_CONNECTION_STRING"])
# SpanExporter receives the spans and send them to the target location.
span_processor = BatchExportSpanProcessor(exporter)
trace.get_tracer_provider().add_span_processor(span_processor)
# Integrations are the glue that binds the OpenTelemetry API and the
# frameworks and libraries that are used together, automatically creating
# Spans and propagating context as appropriate.
# Enable instrumentation in the requests library.
RequestsInstrumentor().instrument()
app = flask.Flask(__name__)
# Enable instrumentation in the flask library.
FlaskInstrumentor().instrument_app(app)
)
)
)
logging.basicConfig(
format="%(asctime)s %(levelname)s: %(message)s",
level=logging.INFO,
datefmt="%d-%b-%y %H:%M:%S",
)
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
logger.addHandler(AzureLogHandler(connection_string="InstrumentationKey=<your instrumentation key"))
exporter = AzureMonitorTraceExporter.from_connection_string(
"InstrumentationKey=<your instrumentation key>"
)
trace.set_tracer_provider(TracerProvider())
tracer = trace.get_tracer(__name__)
span_processor = BatchSpanProcessor(exporter)
trace.get_tracer_provider().add_span_processor(span_processor)
@ dataclass
class RunJob:
@ staticmethod
def animation():
anime = "|/-\\"
for i in range(10):
