class AppInsights(object):
"""This class represents a Flask extension that enables request telemetry,
trace logging and exception logging for a Flask application. The telemetry
will be sent to Application Insights service using the supplied
instrumentation key.
The following Flask config variables can be used to configure the extension:
- Set ``APPINSIGHTS_INSTRUMENTATIONKEY`` to a string to provide the
instrumentation key to send telemetry to application insights.
Alternatively, this value can also be provided via an environment variable
of the same name.
- Set ``APPINSIGHTS_ENDPOINT_URI`` to a string to customize the telemetry
endpoint to which Application Insights will send the telemetry.
- Set ``APPINSIGHTS_DISABLE_REQUEST_LOGGING`` to ``False`` to disable
logging of Flask requests to Application Insights.
- Set ``APPINSIGHTS_DISABLE_TRACE_LOGGING`` to ``False`` to disable logging
of all log traces to Application Insights.
- Set ``APPINSIGHTS_DISABLE_EXCEPTION_LOGGING`` to ``False`` to disable
logging of all exceptions to Application Insights.
.. code:: python
from flask import Flask
from ai4e_app_insights import AppInsights
# instantiate the Flask application
app = Flask(__name__)
app.config['APPINSIGHTS_INSTRUMENTATIONKEY'] = '<YOUR INSTRUMENTATION KEY GOES HERE>'
# log requests, traces and exceptions to the Application Insights service
appinsights = AppInsights(app)
# define a simple route
@app.route('/')
def hello_world():
return 'Hello World!'
# run the application
if __name__ == '__main__':
app.run()
"""
def __init__(self, app=None, context=None):
"""
Initialize a new instance of the extension.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
socket.setdefaulttimeout(30)
self._appinsights_key = None
self._endpoint_uri = None
self._channel = None
self._requests_middleware = None
self._trace_log_handler_grantee = None
self._trace_log_handler_ai4e = None
self._exception_telemetry_client_grantee = None
self._exception_telemetry_client_ai4e = None
if app:
self.init_app(app, context)
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 _init_request_logging(self, app):
"""
Sets up request logging unless ``APPINSIGHTS_DISABLE_REQUEST_LOGGING``
is set in the Flask config.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
enabled = not app.config.get(CONF_DISABLE_REQUEST_LOGGING, False)
if not enabled:
return
wsgi_key = self._appinsights_key
self._requests_middleware = WSGIApplication(
wsgi_key, app.wsgi_app, telemetry_channel=self._channel)
app.wsgi_app = self._requests_middleware
def _init_trace_logging(self, app):
"""
Sets up trace logging unless ``APPINSIGHTS_DISABLE_TRACE_LOGGING`` is
set in the Flask config.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
enabled = not app.config.get(CONF_DISABLE_TRACE_LOGGING, False)
if not enabled:
return
if self._appinsights_key:
self._trace_log_handler_grantee = LoggingHandler(
self._appinsights_key, telemetry_channel=self._channel)
app.logger.addHandler(self._trace_log_handler_grantee)
def _init_exception_logging(self, app):
"""
Sets up exception logging unless ``APPINSIGHTS_DISABLE_EXCEPTION_LOGGING``
is set in the Flask config.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
enabled = not app.config.get(CONF_DISABLE_EXCEPTION_LOGGING, False)
if not enabled:
return
if self._appinsights_key:
self._exception_telemetry_client_grantee = TelemetryClient(
self._appinsights_key, telemetry_channel=self._channel)
@app.errorhandler(Exception)
def exception_handler(exception):
try:
raise exception
except Exception:
if self._exception_telemetry_client_grantee:
self._exception_telemetry_client_grantee.track_exception()
if self._exception_telemetry_client_ai4e:
self._exception_telemetry_client_ai4e.track_exception()
finally:
raise exception
def flush(self):
"""Flushes the queued up telemetry to the service."""
print("trying all flush")
if self._requests_middleware:
self._requests_middleware.flush()
if self._trace_log_handler_grantee:
self._trace_log_handler_grantee.flush()
if self._trace_log_handler_ai4e:
print("Trying trace flush...")
self._trace_log_handler_ai4e.flush()
print("Trace flush finsihed.")
if self._exception_telemetry_client_grantee:
self._exception_telemetry_client_grantee.flush()
if self._exception_telemetry_client_ai4e:
self._exception_telemetry_client_ai4e.flush()
class AppInsights(object):
""" This class represents a Flask extension that enables request telemetry,
trace logging and exception logging for a Flask application. The telemetry
will be sent to Application Insights service using the supplied
instrumentation key.
The following Flask config variables can be used to configure the extension:
- Set ``APPINSIGHTS_INSTRUMENTATIONKEY`` to a string to provide the
instrumentation key to send telemetry to application insights.
Alternatively, this value can also be provided via an environment variable
of the same name.
- Set ``APPINSIGHTS_ENDPOINT_URI`` to a string to customize the telemetry
endpoint to which Application Insights will send the telemetry.
- Set ``APPINSIGHTS_DISABLE_REQUEST_LOGGING`` to ``False`` to disable
logging of Flask requests to Application Insights.
- Set ``APPINSIGHTS_DISABLE_TRACE_LOGGING`` to ``False`` to disable logging
of all log traces to Application Insights.
- Set ``APPINSIGHTS_DISABLE_EXCEPTION_LOGGING`` to ``False`` to disable
logging of all exceptions to Application Insights.
.. code:: python
from flask import Flask
from applicationinsights.flask.ext import AppInsights
# instantiate the Flask application
app = Flask(__name__)
app.config['APPINSIGHTS_INSTRUMENTATIONKEY'] = '<YOUR INSTRUMENTATION KEY GOES HERE>'
# log requests, traces and exceptions to the Application Insights service
appinsights = AppInsights(app)
# define a simple route
@app.route('/')
def hello_world():
return 'Hello World!'
# run the application
if __name__ == '__main__':
app.run()
"""
def __init__(self, app=None):
"""
Initialize a new instance of the extension.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
self._key = None
self._endpoint_uri = None
self._channel = None
self._requests_middleware = None
self._trace_log_handler = None
self._exception_telemetry_client = None
if app:
self.init_app(app)
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)
sender = AsynchronousSender(self._endpoint_uri)
queue = AsynchronousQueue(sender)
self._channel = TelemetryChannel(None, queue)
self._init_request_logging(app)
self._init_trace_logging(app)
self._init_exception_logging(app)
@property
def context(self):
"""
Accesses the telemetry context.
Returns:
(applicationinsights.channel.TelemetryContext). The Application Insights telemetry context.
"""
return self._channel.context
def _init_request_logging(self, app):
"""
Sets up request logging unless ``APPINSIGHTS_DISABLE_REQUEST_LOGGING``
is set in the Flask config.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
enabled = not app.config.get(CONF_DISABLE_REQUEST_LOGGING, False)
if not enabled:
return
self._requests_middleware = WSGIApplication(
self._key, app.wsgi_app, telemetry_channel=self._channel)
app.wsgi_app = self._requests_middleware
def _init_trace_logging(self, app):
"""
Sets up trace logging unless ``APPINSIGHTS_DISABLE_TRACE_LOGGING`` is
set in the Flask config.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
enabled = not app.config.get(CONF_DISABLE_TRACE_LOGGING, False)
if not enabled:
return
self._trace_log_handler = LoggingHandler(
self._key, telemetry_channel=self._channel)
app.logger.addHandler(self._trace_log_handler)
def _init_exception_logging(self, app):
"""
Sets up exception logging unless ``APPINSIGHTS_DISABLE_EXCEPTION_LOGGING``
is set in the Flask config.
Args:
app (flask.Flask). the Flask application for which to initialize the extension.
"""
enabled = not app.config.get(CONF_DISABLE_EXCEPTION_LOGGING, False)
if not enabled:
return
exception_telemetry_client = TelemetryClient(
self._key, telemetry_channel=self._channel)
@app.errorhandler(Exception)
def exception_handler(exception):
if HTTPException and isinstance(exception, HTTPException):
return exception
try:
raise exception
except Exception:
exception_telemetry_client.track_exception()
finally:
raise exception
self._exception_telemetry_client = exception_telemetry_client
def flush(self):
"""Flushes the queued up telemetry to the service.
"""
if self._requests_middleware:
self._requests_middleware.flush()
if self._trace_log_handler:
self._trace_log_handler.flush()
if self._exception_telemetry_client:
self._exception_telemetry_client.flush()
url=AURL + ENDPOINT,
headers={'Content-Type': 'application/json'},
verify=False,
pkcs12_filename=CERT_FILE,
pkcs12_password=CERT_PASS)
received_response = r.json()
flat_response = flattening(received_response, "", [])
current_time = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%SZ')
points = [{
"measurement": ENDPOINT,
"tags": {
'APIURL': AURL
},
"time": current_time,
"fields": flat_response
}]
logger.info(ENDPOINT, extra=received_response)
iclient.write_points(points)
if IKEY != "REPLACE_ME":
handler.flush()
count += 1
except Exception as e:
# this will send an exception to the Application Insights Logs
logging.exception("Code ran into an unforseen exception!",
sys.exc_info()[0])
time.sleep(SLEEP_INTERVAL)
# logging shutdown will cause a flush of all un-sent telemetry items
logging.shutdown()