def create_client(aisettings=None, telemetry_processor: TelemetryProcessor = None):
global saved_clients, saved_channels # pylint: disable=invalid-name, global-statement
if aisettings is None:
aisettings = load_settings()
if aisettings in saved_clients:
return saved_clients[aisettings]
channel_settings = aisettings.channel_settings
if channel_settings in saved_channels:
channel = saved_channels[channel_settings]
else:
sender = AsynchronousSender(service_endpoint_uri=channel_settings.endpoint)
if channel_settings.send_time is not None:
sender.send_time = channel_settings.send_time
if channel_settings.send_interval is not None:
sender.send_interval = channel_settings.send_interval
queue = AsynchronousQueue(sender)
channel = TelemetryChannel(None, queue)
saved_channels[channel_settings] = channel
ikey = aisettings.ikey
if ikey is None:
return dummy_client("No ikey specified", telemetry_processor)
client = get_telemetry_client_with_processor(
aisettings.ikey, channel, telemetry_processor
)
saved_clients[aisettings] = client
return client
def init_app(self, app):
"""
Initializes the extension for the provided Flask application.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
self._key = app.config.get(CONF_KEY) or getenv(CONF_KEY)
if not self._key:
return
self._endpoint_uri = app.config.get(CONF_ENDPOINT_URI)
if self._endpoint_uri:
sender = AsynchronousSender(self._endpoint_uri)
else:
sender = AsynchronousSender()
queue = AsynchronousQueue(sender)
self._channel = TelemetryChannel(None, queue)
self._init_request_logging(app)
self._init_trace_logging(app)
self._init_exception_logging(app)
def client(self):
ctx = _app_ctx_stack.top
if ctx is not None:
if not hasattr(ctx, 'appinsight_client'):
ctx.appinsight_client = TelemetryClient(
current_app.config[CONFIG_KEY_INSTRUMENTATION_KEY],
telemetry_channel=TelemetryChannel(
queue=AsynchronousQueue(AsynchronousSender())))
return ctx.appinsight_client
def _telemetry(self) -> TelemetryClient:
"""Create the telemetry client."""
if not self.ikey:
sender = NullSender()
else:
sender = AsynchronousSender(self.endpoint)
ikey = self.ikey or '00000000-0000-0000-0000-000000000000'
queue = AsynchronousQueue(sender)
context = TelemetryContext()
context.instrumentation_key = ikey
channel = TelemetryChannel(context, queue)
return TelemetryClient(ikey, telemetry_channel=channel)
def _telemetry(self) -> Union[TelemetryClient, NullTelemetryClient]:
"""Create the telemetry client."""
if not self.ikey:
return NullTelemetryClient()
if self.endpoint:
sender = AsynchronousSender(self.endpoint)
else:
sender = AsynchronousSender()
queue = AsynchronousQueue(sender)
context = TelemetryContext()
context.instrumentation_key = self.ikey
channel = TelemetryChannel(context, queue)
return TelemetryClient(self.ikey, telemetry_channel=channel)
def init_app(self, app, context):
"""
Initializes the extension for the provided Flask application.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
print("Starting application insights module.")
self._key_grantee = app.config.get(CONF_KEY_GRANTEE) or getenv(
CONF_KEY_GRANTEE)
self._key_ai4e = app.config.get(CONF_KEY_AI4E) or getenv(CONF_KEY_AI4E)
if (self._key_grantee and len(self._key_grantee.strip()) > 0):
self._key_grantee = self._key_grantee.strip()
else:
self._key_grantee = None
if (self._key_ai4e and len(self._key_ai4e.strip()) > 0):
self._key_ai4e = self._key_ai4e.strip()
else:
self._key_ai4e = None
if self._key_grantee:
print("Grantee application insights key set.")
if self._key_ai4e:
print("AI4E application insights key set: " + str(self._key_ai4e))
if not self._key_grantee and not self._key_ai4e:
return
self._endpoint_uri = app.config.get(CONF_ENDPOINT_URI)
if self._endpoint_uri:
sender = AsynchronousSender(self._endpoint_uri)
else:
sender = AsynchronousSender()
queue = AsynchronousQueue(sender)
if not context:
context = AI4ETelemetryContext()
self._channel = TelemetryChannel(context, queue)
self._init_request_logging(app)
self._init_trace_logging(app)
self._init_exception_logging(app)
def __init__(self):
self.grantee_key = None
raw_key = getenv(CONF_KEY_GRANTEE, None)
if (raw_key and len(raw_key.strip()) > 0):
self.grantee_key = raw_key.strip()
if (self.grantee_key):
self.sender = AsynchronousSender()
self.r_queue = AsynchronousQueue(self.sender)
self.r_context = AI4ETelemetryContext()
self.r_channel = TelemetryChannel(self.r_context, self.r_queue)
self.appinsights_grantee_client = TelemetryClient(
getenv(CONF_KEY_GRANTEE), self.r_channel)
self.appinsights_ai4e_client = None
if (getenv(CONF_KEY_AI4E)):
self.appinsights_ai4e_client = TelemetryClient(
getenv(CONF_KEY_AI4E), self.r_channel)
def setup(self, app):
"""
Initializes the plugin for the provided Bottle application.
Args:
app (bottle.Bottle). the Bottle application for which to initialize the extension.
"""
self._key = app.config.get(CONF_KEY) or getenv(CONF_KEY)
if not self._key:
return
self._endpoint_uri = app.config.get(CONF_ENDPOINT_URI)
sender = AsynchronousSender(self._endpoint_uri)
queue = AsynchronousQueue(sender)
self._channel = TelemetryChannel(None, queue)
self._tc = TelemetryClient(self._key, self._channel)
self.context.cloud.role_instance = platform.node()
def create_telemetrie_client():
key = get_instrumentation_key()
#https://microsoft.github.io/ApplicationInsights-Python/
queue = AsynchronousQueue(AsynchronousSender())
telemetrie_channel = channel.TelemetryChannel(None, queue)
telemetrie = TelemetryClient(key, telemetry_channel = telemetrie_channel)
# flush telemetry if we have 10 or more telemetry items in our queue
telemetrie.channel.queue.max_queue_length = 10
# send telemetry to the service in batches of 5
telemetrie.channel.sender.send_buffer_size = 1
# the background worker thread will be active for 5 seconds before it shuts down. if
# during this time items are picked up from the queue, the timer is reset.
telemetrie.channel.sender.send_time = 5
# the background worker thread will poll the queue every 0.5 seconds for new items
telemetrie.channel.sender.send_interval = 0.5
telemetrie.context.operation.name = 'neural-image-tensorflow'
return telemetrie
def init_app(self, app, context):
"""
Initializes the extension for the provided Flask application.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
print("Starting application insights module.")
self._appinsights_key = app.config.get(
APPINSIGHTS_INSTRUMENTATIONKEY) or getenv(
APPINSIGHTS_INSTRUMENTATIONKEY)
if self._appinsights_key and len(self._appinsights_key.strip()) > 0:
self._appinsights_key = self._appinsights_key.strip()
else:
self._appinsights_key = None
# Set the application insights key for production use.
if self._appinsights_key:
print("Application insights key set.")
self._endpoint_uri = app.config.get(CONF_ENDPOINT_URI)
if self._endpoint_uri:
sender = AsynchronousSender(self._endpoint_uri)
else:
sender = AsynchronousSender()
queue = AsynchronousQueue(sender)
if not context:
context = AI4ETelemetryContext()
self._channel = TelemetryChannel(context, queue)
self._init_request_logging(app)
self._init_trace_logging(app)
self._init_exception_logging(app)
def _create_telemetry_channel() -> TelemetryChannel:
sender = AsynchronousSender(
APPINSIGHTS_HOST) if APPINSIGHTS_HOST else NullSender()
queue = AsynchronousQueue(sender)
return TelemetryChannel(queue=queue)