def test_shutdown(self):
exporter = InMemoryLogExporter()
log_processor = BatchLogProcessor(exporter)
provider = LogEmitterProvider()
provider.add_log_processor(log_processor)
emitter = provider.get_log_emitter(__name__)
logger = logging.getLogger("shutdown")
logger.addHandler(OTLPHandler(log_emitter=emitter))
logger.warning("warning message: %s", "possible upcoming heatwave")
logger.error("Very high rise in temperatures across the globe")
logger.critical("Temparature hits high 420 C in Hyderabad")
log_processor.shutdown()
self.assertTrue(exporter._stopped)
finished_logs = exporter.get_finished_logs()
expected = [
("warning message: possible upcoming heatwave", "WARNING"),
("Very high rise in temperatures across the globe", "ERROR"),
(
"Temparature hits high 420 C in Hyderabad",
"CRITICAL",
),
]
emitted = [
(item.log_record.body, item.log_record.severity_text)
for item in finished_logs
]
self.assertEqual(expected, emitted)
def test_with_multiple_threads(self):
exporter = InMemoryLogExporter()
log_processor = BatchLogProcessor(exporter)
provider = LogEmitterProvider()
provider.add_log_processor(log_processor)
emitter = provider.get_log_emitter(__name__)
logger = logging.getLogger("threads")
logger.addHandler(OTLPHandler(log_emitter=emitter))
def bulk_log_and_flush(num_logs):
for _ in range(num_logs):
logger.critical("Critical message")
self.assertTrue(log_processor.force_flush())
with ThreadPoolExecutor(max_workers=69) as executor:
futures = []
for idx in range(69):
future = executor.submit(bulk_log_and_flush, idx + 1)
futures.append(future)
executor.shutdown()
finished_logs = exporter.get_finished_logs()
self.assertEqual(len(finished_logs), 2415)
def test_log_processor_too_many_logs(self):
exporter = InMemoryLogExporter()
log_processor = BatchLogProcessor(exporter)
provider = LogEmitterProvider()
provider.add_log_processor(log_processor)
emitter = provider.get_log_emitter(__name__)
logger = logging.getLogger("many_logs")
logger.addHandler(OTLPHandler(log_emitter=emitter))
for log_no in range(1000):
logger.critical("Log no: %s", log_no)
self.assertTrue(log_processor.force_flush())
finised_logs = exporter.get_finished_logs()
self.assertEqual(len(finised_logs), 1000)
def test_force_flush(self):
exporter = InMemoryLogExporter()
log_processor = BatchLogProcessor(exporter)
provider = LogEmitterProvider()
provider.add_log_processor(log_processor)
emitter = provider.get_log_emitter(__name__)
logger = logging.getLogger("force_flush")
logger.addHandler(OTLPHandler(log_emitter=emitter))
logger.critical("Earth is burning")
log_processor.force_flush()
finished_logs = exporter.get_finished_logs()
self.assertEqual(len(finished_logs), 1)
log_record = finished_logs[0].log_record
self.assertEqual(log_record.body, "Earth is burning")
self.assertEqual(log_record.severity_number, SeverityNumber.FATAL)
def test_batch_log_processor_fork(self):
# pylint: disable=invalid-name
exporter = InMemoryLogExporter()
log_processor = BatchLogProcessor(
exporter,
max_export_batch_size=64,
schedule_delay_millis=10,
)
provider = LogEmitterProvider()
provider.add_log_processor(log_processor)
emitter = provider.get_log_emitter(__name__)
logger = logging.getLogger("test-fork")
logger.addHandler(OTLPHandler(log_emitter=emitter))
logger.critical("yolo")
time.sleep(0.5) # give some time for the exporter to upload
self.assertTrue(log_processor.force_flush())
self.assertEqual(len(exporter.get_finished_logs()), 1)
exporter.clear()
multiprocessing.set_start_method("fork")
def child(conn):
def _target():
logger.critical("Critical message child")
self.run_with_many_threads(_target, 100)
time.sleep(0.5)
logs = exporter.get_finished_logs()
conn.send(len(logs) == 100)
conn.close()
parent_conn, child_conn = multiprocessing.Pipe()
p = multiprocessing.Process(target=child, args=(child_conn,))
p.start()
self.assertTrue(parent_conn.recv())
p.join()
log_processor.shutdown()
def test_emit_call_log_record(self):
exporter = InMemoryLogExporter()
log_processor = Mock(wraps=BatchLogProcessor(exporter))
provider = LogEmitterProvider()
provider.add_log_processor(log_processor)
emitter = provider.get_log_emitter(__name__)
logger = logging.getLogger("emit_call")
logger.addHandler(OTLPHandler(log_emitter=emitter))
logger.error("error")
self.assertEqual(log_processor.emit.call_count, 1)
def _init_logging(
exporters: Dict[str, Type[LogExporter]],
auto_instrumentation_version: Optional[str] = None,
):
# if env var OTEL_RESOURCE_ATTRIBUTES is given, it will read the service_name
# from the env variable else defaults to "unknown_service"
auto_resource = {}
# populate version if using auto-instrumentation
if auto_instrumentation_version:
auto_resource[ResourceAttributes.
TELEMETRY_AUTO_VERSION] = auto_instrumentation_version
provider = LogEmitterProvider(resource=Resource.create(auto_resource))
set_log_emitter_provider(provider)
for _, exporter_class in exporters.items():
exporter_args = {}
provider.add_log_processor(
BatchLogProcessor(exporter_class(**exporter_args)))
log_emitter = provider.get_log_emitter(__name__)
handler = OTLPHandler(level=logging.NOTSET, log_emitter=log_emitter)
logging.getLogger().addHandler(handler)
import logging
from opentelemetry.sdk._logs import (
LogEmitterProvider,
OTLPHandler,
set_log_emitter_provider,
)
from opentelemetry.sdk._logs.export import BatchLogProcessor
from azure.monitor.opentelemetry.exporter import AzureMonitorLogExporter
log_emitter_provider = LogEmitterProvider()
set_log_emitter_provider(log_emitter_provider)
exporter = AzureMonitorLogExporter.from_connection_string(
os.environ["APPLICATIONINSIGHTS_CONNECTION_STRING"])
log_emitter_provider.add_log_processor(BatchLogProcessor(exporter))
handler = OTLPHandler()
# Attach OTel handler to namespaced logger
logger = logging.getLogger(__name__)
logger.addHandler(handler)
logger.setLevel(logging.NOTSET)
try:
val = 1 / 0
print(val)
except ZeroDivisionError:
logger.exception("Error: Division by zero")