This project extends the Application Insights API surface to support Python. Application Insights is a service that allows developers to keep their application available, performing and succeeding. This Python module will allow you to send telemetry of various kinds (event, trace, exception, etc.) to the Application Insights service where they can be visualized in the Azure Portal.
Python 2.7 and Python 3.4 are currently supported by this module.
For opening the project in Microsoft Visual Studio you will need Python Tools for Visual Studio.
To install the latest release you can use pip.
$ pip install applicationinsights
Once installed, you can send telemetry to Application Insights. Here are a few samples.
Note: before you can send data to you will need an instrumentation key. Please see the Getting an Application Insights Instrumentation Key section for more information.
Sending a simple event telemetry item
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
tc.track_event('Test event')
tc.flush()Sending an event telemetry item with custom properties and measurements
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
tc.track_event('Test event', { 'foo': 'bar' }, { 'baz': 42 })
tc.flush()Sending a trace telemetry item with custom properties
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
tc.track_trace('Test trace', { 'foo': 'bar' })
tc.flush()Sending a metric telemetry item
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
tc.track_metric('My Metric', 42)
tc.flush()Sending an exception telemetry item with custom properties and measurements
import sys
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
try:
raise Exception('blah')
except:
tc.track_exception()
try:
raise Exception("blah")
except:
tc.track_exception(*sys.exc_info(), properties={ 'foo': 'bar' }, measurements={ 'x': 42 })
tc.flush()Configuring context for a telemetry client instance
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
tc.context.application.id = 'My application'
tc.context.application.ver = '1.2.3'
tc.context.device.id = 'My current device'
tc.context.device.oem_name = 'Asus'
tc.context.device.model = 'X31A'
tc.context.device.type = "Other"
tc.context.user.id = '[email protected]'
tc.track_trace('My trace with context')
tc.flush()Configuring channel related properties
from applicationinsights import TelemetryClient
tc = TelemetryClient('<YOUR INSTRUMENTATION KEY GOES HERE>')
# flush telemetry every 30 seconds (assuming we don't hit max_queue_item_count first)
tc.channel.sender.send_interval_in_milliseconds = 30 * 1000
# flush telemetry if we have 10 or more telemetry items in our queue
tc.channel.sender.max_queue_item_count = 10Basic logging configuration (first option)
import logging
from applicationinsights.logging import enable
# set up logging
enable('<YOUR INSTRUMENTATION KEY GOES HERE>')
# log something (this will be sent to the Application Insights service as a trace)
logging.info('This is a message')
# logging shutdown will cause a flush of all un-sent telemetry items
# alternatively flush manually via handler.flush()Basic logging configuration (second option)
import logging
from applicationinsights.logging import LoggingHandler
# set up logging
handler = LoggingHandler('<YOUR INSTRUMENTATION KEY GOES HERE>')
logging.basicConfig(handlers=[ handler ], format='%(levelname)s: %(message)s', level=logging.DEBUG)
# log something (this will be sent to the Application Insights service as a trace)
logging.debug('This is a message')
try:
raise Exception('Some exception')
except:
# this will send an exception to the Application Insights service
logging.exception('Code went boom!')
# logging shutdown will cause a flush of all un-sent telemetry items
# alternatively flush manually via handler.flush()Advanced logging configuration
import logging
from applicationinsights.logging import LoggingHandler
# set up logging
handler = LoggingHandler('<YOUR INSTRUMENTATION KEY GOES HERE>')
handler.setLevel(logging.DEBUG)
handler.setFormatter(logging.Formatter('%(levelname)s: %(message)s'))
my_logger = logging.getLogger('simple_logger')
my_logger.setLevel(logging.DEBUG)
my_logger.addHandler(handler)
# log something (this will be sent to the Application Insights service as a trace)
my_logger.debug('This is a message')
# logging shutdown will cause a flush of all un-sent telemetry items
# alternatively flush manually via handler.flush()Logging unhandled exceptions
from applicationinsights.exceptions import enable
# set up exception capture
enable('<YOUR INSTRUMENTATION KEY GOES HERE>')
# raise an exception (this will be sent to the Application Insights service as an exception telemetry object)
raise Exception('Boom!')Logging requests
from flask import Flask
from applicationinsights.requests import WSGIApplication
# instantiate the Flask application and wrap its WSGI application
app = Flask(__name__)
app.wsgi_app = WSGIApplication('<YOUR INSTRUMENTATION KEY GOES HERE>', app.wsgi_app)
# define a simple route
@app.route('/')
def hello_world():
return 'Hello World!'
# run the application
if __name__ == '__main__':
app.run()
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