def __init__(self, **options):
super(BaseLogHandler, self).__init__()
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
if not 0 <= self.options.logging_sampling_rate <= 1:
raise ValueError('Sampling must be in the range: [0,1]')
self.export_interval = self.options.export_interval
self.max_batch_size = self.options.max_batch_size
self.storage = None
if self.options.enable_local_storage:
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
source=self.__class__.__name__,
)
self._telemetry_processors = []
self.addFilter(SamplingFilter(self.options.logging_sampling_rate))
self._queue = Queue(capacity=self.options.queue_capacity)
self._worker = Worker(self._queue, self)
self._worker.start()
atexit.register(self.close, self.options.grace_period)
# start statsbeat on exporter instantiation
if not os.environ.get("APPLICATIONINSIGHTS_STATSBEAT_DISABLED_ALL"):
statsbeat_metrics.collect_statsbeat_metrics(self.options)
# For redirects
self._consecutive_redirects = 0 # To prevent circular redirects
def __init__(self, options=None):
if options is None:
options = Options()
self.options = options
utils.validate_instrumentation_key(self.options.instrumentation_key)
if self.options.max_batch_size <= 0:
raise ValueError('Max batch size must be at least 1.')
self.max_batch_size = self.options.max_batch_size
def __init__(self, **options):
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
)
super(AzureExporter, self).__init__(**options)
def __init__(self, **options):
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
source=self.__class__.__name__,
)
self._telemetry_processors = []
super(AzureExporter, self).__init__(**options)
atexit.register(self._stop, self.options.grace_period)
def __init__(self, **options):
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
source=self.__class__.__name__,
)
self._telemetry_processors = []
super(AzureExporter, self).__init__(**options)
heartbeat_metrics.enable_heartbeat_metrics(
self.options.connection_string, self.options.instrumentation_key)
def _get_app_insights_key(self):
"""Get Application Insights Key."""
try:
if self.app_insights_key is None:
self.app_insights_key = getenv(
self.APPINSIGHTS_INSTRUMENTATION_KEY, None
)
if self.app_insights_key is not None:
utils.validate_instrumentation_key(self.app_insights_key)
return self.app_insights_key
else:
raise Exception("ApplicationInsights Key is not set")
except Exception as exp:
raise Exception(f"Exception is getting app insights key-> {exp}")
def __init__(self, **options):
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
if self.options.max_batch_size <= 0:
raise ValueError('Max batch size must be at least 1.')
self.export_interval = self.options.export_interval
self.max_batch_size = self.options.max_batch_size
self._telemetry_processors = []
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
)
super(MetricsExporter, self).__init__()
def __init__(self, **options):
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
if not 0 <= self.options.logging_sampling_rate <= 1:
raise ValueError('Sampling must be in the range: [0,1]')
self.export_interval = self.options.export_interval
self.max_batch_size = self.options.max_batch_size
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
)
self._telemetry_processors = []
super(AzureLogHandler, self).__init__()
self.addFilter(SamplingFilter(self.options.logging_sampling_rate))
def __init__(self, **options):
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
if self.options.max_batch_size <= 0:
raise ValueError('Max batch size must be at least 1.')
self.export_interval = self.options.export_interval
self.max_batch_size = self.options.max_batch_size
self._telemetry_processors = []
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
source=self.__class__.__name__,
)
self._atexit_handler = atexit.register(self.shutdown)
self.exporter_thread = None
super(MetricsExporter, self).__init__()
def __init__(self, **options):
super(BaseLogHandler, self).__init__()
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
if not 0 <= self.options.logging_sampling_rate <= 1:
raise ValueError('Sampling must be in the range: [0,1]')
self.export_interval = self.options.export_interval
self.max_batch_size = self.options.max_batch_size
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
)
self._telemetry_processors = []
self.addFilter(SamplingFilter(self.options.logging_sampling_rate))
self._queue = Queue(capacity=8192) # TODO: make this configurable
self._worker = Worker(self._queue, self)
self._worker.start()
def __init__(self, **options):
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
self.storage = None
if self.options.enable_local_storage:
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
source=self.__class__.__name__,
)
self._telemetry_processors = []
super(AzureExporter, self).__init__(**options)
atexit.register(self._stop, self.options.grace_period)
# start statsbeat on exporter instantiation
if not os.environ.get("APPLICATIONINSIGHTS_STATSBEAT_DISABLED_ALL"):
statsbeat_metrics.collect_statsbeat_metrics(self.options)
# For redirects
self._consecutive_redirects = 0 # To prevent circular redirects
def __init__(self, **options):
super(BaseLogHandler, self).__init__()
self.options = Options(**options)
utils.validate_instrumentation_key(self.options.instrumentation_key)
if not 0 <= self.options.logging_sampling_rate <= 1:
raise ValueError('Sampling must be in the range: [0,1]')
self.export_interval = self.options.export_interval
self.max_batch_size = self.options.max_batch_size
self.storage = LocalFileStorage(
path=self.options.storage_path,
max_size=self.options.storage_max_size,
maintenance_period=self.options.storage_maintenance_period,
retention_period=self.options.storage_retention_period,
source=self.__class__.__name__,
)
self._telemetry_processors = []
self.addFilter(SamplingFilter(self.options.logging_sampling_rate))
self._queue = Queue(capacity=self.options.queue_capacity)
self._worker = Worker(self._queue, self)
self._worker.start()
heartbeat_metrics.enable_heartbeat_metrics(
self.options.connection_string, self.options.instrumentation_key)
def test_invalid_key_section4_length(self):
key = '1234abcd-678-4efa-8bc-11234567890ab'
self.assertRaises(ValueError,
lambda: utils.validate_instrumentation_key(key))
def test_invalid_key_variant(self):
key = '1234abcd-5678-4efa-2abc-1234567890ab'
self.assertRaises(ValueError,
lambda: utils.validate_instrumentation_key(key))
def test_validate_instrumentation_key(self):
key = '1234abcd-5678-4efa-8abc-1234567890ab'
self.assertIsNone(utils.validate_instrumentation_key(key))
def test_invalid_key_empty(self):
key = ''
self.assertRaises(ValueError,
lambda: utils.validate_instrumentation_key(key))
def test_invalid_key_section1_hex(self):
key = 'x234abcd-5678-4efa-8abc-1234567890ab'
self.assertRaises(ValueError,
lambda: utils.validate_instrumentation_key(key))
