Flask support
editFlask support
editGetting Elastic APM set up for your Flask project is easy, and there are various ways you can tweak it to fit to your needs.
Installation
editInstall the Elastic APM agent using pip:
$ pip install "elastic-apm[flask]"
or add elastic-apm[flask]
to your project’s requirements.txt
file.
For apm-server 6.2+, make sure you use version 2.0 or higher of elastic-apm
.
If you use Flask with uwsgi, make sure to enable threads.
If you see an error log that mentions psutil not found
, you can install
psutil
using pip install psutil
, or add psutil
to your requirements.txt
file.
Setup
editTo set up the agent, you need to initialize it with appropriate settings.
The settings are configured either via environment variables, the application’s settings, or as initialization arguments.
You can find a list of all available settings in the Configuration page.
To initialize the agent for your application using environment variables:
from elasticapm.contrib.flask import ElasticAPM app = Flask(__name__) apm = ElasticAPM(app)
To configure the agent using ELASTIC_APM
in your application’s settings:
from elasticapm.contrib.flask import ElasticAPM app.config['ELASTIC_APM'] = { 'SERVICE_NAME': '<SERVICE-NAME>', 'SECRET_TOKEN': '<SECRET-TOKEN>', } apm = ElasticAPM(app)
The final option is to initialize the agent with the settings as arguments:
from elasticapm.contrib.flask import ElasticAPM apm = ElasticAPM(app, service_name='<APP-ID>', secret_token='<SECRET-TOKEN>')
Debug mode
editPlease note that errors and transactions will only be sent to the APM Server if your app is not in Flask debug mode.
To force the agent to send data while the app is in debug mode,
set the value of DEBUG
in the ELASTIC_APM
dictionary to True
:
app.config['ELASTIC_APM'] = { 'SERVICE_NAME': '<SERVICE-NAME>', 'SECRET_TOKEN': '<SECRET-TOKEN>', 'DEBUG': True }
Building applications on the fly?
editYou can use the agent’s init_app
hook for adding the application on the fly:
from elasticapm.contrib.flask import ElasticAPM apm = ElasticAPM() def create_app(): app = Flask(__name__) apm.init_app(app, service_name='<SERVICE-NAME>', secret_token='<SECRET-TOKEN>') return app
Usage
editOnce you have configured the agent, it will automatically track transactions and capture uncaught exceptions within Flask. If you want to send additional events, a couple of shortcuts are provided on the ElasticAPM Flask middleware object by raising an exception or logging a generic message.
Capture an arbitrary exception by calling capture_exception
:
try: 1 / 0 except ZeroDivisionError: apm.capture_exception()
Log a generic message with capture_message
:
apm.capture_message('hello, world!')
Shipping Logs to Elasticsearch
editThis feature has been deprecated and will be removed in a future version.
Please see our Logging documentation for other supported ways to ship logs to Elasticsearch.
Note that you can always send exceptions and messages to the APM Server with
capture_exception
and and
capture_message
.
from elasticapm import get_client @app.route('/') def bar(): try: 1 / 0 except ZeroDivisionError: get_client().capture_exception()
Extra data
editIn addition to what the agents log by default, you can send extra information:
@app.route('/') def bar(): try: 1 / 0 except ZeroDivisionError: app.logger.error('Math is hard', exc_info=True, extra={ 'good_at_math': False, } ) )
Celery tasks
editThe Elastic APM agent will automatically send errors and performance data from your Celery tasks to the APM Server.
Performance metrics
editIf you’ve followed the instructions above, the agent has already hooked into the right signals and should be reporting performance metrics.
Ignoring specific routes
editYou can use the TRANSACTIONS_IGNORE_PATTERNS
configuration option to ignore specific routes.
The list given should be a list of regular expressions which are matched against the transaction name:
app.config['ELASTIC_APM'] = { ... 'TRANSACTIONS_IGNORE_PATTERNS': ['^OPTIONS ', '/api/'] ... }
This would ignore any requests using the OPTIONS
method
and any requests containing /api/
.
Integrating with the RUM Agent
editTo correlate performance measurement in the browser with measurements in your Flask app, you can help the RUM (Real User Monitoring) agent by configuring it with the Trace ID and Span ID of the backend request. We provide a handy template context processor which adds all the necessary bits into the context of your templates.
The context processor is installed automatically when you initialize ElasticAPM
.
All that is left to do is to update the call to initialize the RUM agent (which probably happens in your base template) like this:
elasticApm.init({ serviceName: "my-frontend-service", pageLoadTraceId: "{{ apm["trace_id"] }}", pageLoadSpanId: "{{ apm["span_id"]() }}", pageLoadSampled: {{ apm["is_sampled_js"] }} })
See the JavaScript RUM agent documentation for more information.
Supported Flask and Python versions
editA list of supported Flask and Python versions can be found on our Supported Technologies page.