Python logging library to emit JSON logs in a SAP CloudFoundry environment

pip install sap-cf-logging==4.2.6


Python logging library to emit JSON logs in a SAP CloudFoundry environment.

This is a collection of support libraries for Python applications running on Cloud Foundry that serve two main purposes: provide (a) means to emit structured application log messages and (b) instrument web applications of your application stack to collect request metrics.

For details on the concepts and log formats, please look at the sibling project for java logging support.


  1. Lightweight, no dependencies. Support of Python 2.7 & 3.5.
  2. Compatible with the Python logging module. Minimal configuration needed.
  3. Emits JSON logs (format details).
  4. Supports correlation-id.
  5. Supports request instrumentation. Built in support for:
  1. Includes CF-specific information (space id, app id, etc.) to logs.
  2. Supports adding extra properties to JSON log object.


Install the package with pip:

pip install sap_cf_logging


Setting up your application

Logging library needs to be initialized. Depending on you application type, different initialization is used. You should usually do this in your application entrypoint.

For CLI applications you just need to call cf_logging.init() once to configure the library. The library will try to configure future loggers to emit logs in JSON format.

If you are using one of the supported frameworks, check the Configuration section to see how to configure it.

Setting up the CloudFoundry environment

In order for your logs to appear in the Kibana dashboard, you have to create an application-logs service instance and bind it to your application.


After installation use the following guide to configure the Python cf logging library.


First import the cf_logging library and setup Flask logging on the application.

from sap.cf_logging import flask_logging

app = flask.Flask(__name__)
flask_logging.init(app, logging.INFO)

Next use Python’s logging library

def root_route():
    logger = logging.getLogger('my.logger')'Hi')

    return 'ok'

Note the logs generated by the application


import sanic
import logging

from sanic.response import HTTPResponse
from sap.cf_logging import sanic_logging
from sap.cf_logging.core.constants import REQUEST_KEY

app = sanic.Sanic('test.cf_logging')

async def two(request):
    extra = {REQUEST_KEY: request}
    logging.getLogger('my.logger').debug('Hi', extra = extra)
    return HTTPResponse(body='ok')

Note: With Sanic you need to pass the request with an extra parameter in the logging API. This is needed in order to get the correlation_id generated at the beginning of the request or fetched from the HTTP headers.


import falcon
from sap.cf_logging import falcon_logging
from sap.cf_logging.core.constants import REQUEST_KEY

class Resource:
    def on_get(self, req, resp):
        extra = {REQUEST_KEY: req}
        logging.getLogger('my.logger').log('Resource requested', extra=extra) = {'name': 'Cloud Foundry'}

app = falcon.API(middleware=[
app.add_route('/resource', Resource())


django-admin startproject example
# example/

        # ...,

# example/

    # ...
    from sap.cf_logging import django_logging

    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "sap_logtesting.settings")

    # ...

Create a new app

python startapp example_app
# example_app/

    import logging

    from django.http import HttpResponse
    from sap.cf_logging.core.constants import REQUEST_KEY

    def index(request):
        extra = {REQUEST_KEY: request}
        logger = logging.getLogger('my.logger')"Resource requested", extra=extra)
        return HttpResponse("ok")

# example_app/

    from django.conf.urls import url

    from . import views

    urlpatterns = [
        url('^$', views.index)

# example/

    from django.contrib import admin
    from django.conf.urls import url, include

    urlpatterns = [
        url('example/', include('example_app.urls'))


import logging
from sap import cf_logging


logger = logging.getLogger("cli.logger")'hi')

Notes: All loggers set up and created before the initialization of the Cloud Foundry logging library will be left untouched. When using Flask and Sanic with the logging library before and after request middleware is attached, and it will capture response times for each request.

Custom Fields

To use custom fields. Pass a dictionary property custom_fields to the initialize method:

import logging
from sap import cf_logging
cf_logging.init(custom_fields={"foo": "default", "bar": None})

Here we mark the two fields: foo and bar as custom_fields. Logging with:


The property foo will be output as a custom field with a value "default". The property bar will not be logged, as it does not have a value.

To log bar, provide a value when logging:

logging.getLogger('my.logger').debug('Hi', extra={"bar": "new_value"})

It is also possible to log foo with a different value:

logging.getLogger('my.logger').debug('Hi', extra={"foo": "hello"})
Setting and getting correlation ID

When using cf_logging in a web application you don't need to set the correlation ID, because the logging library will fetch it from the HTTP headers and set it. For non web applications you could set the correlation ID manually, so that the log entries can be filtered later on based on the correlation_id log property. In this case the correlation ID is kept in a thread local variable and each thread should set its own correlation ID.

Setting and getting the correlation_id can be done via:


If you need to get the correlation ID in a web application, take into account the framework you are using. In async frameworks like Sanic and Falcon the context is stored into the request object and you need to provide the request to the call:


Logging sensitive data

The logging library does not log sensitive fields by default. Those fields are replaced with 'redacted' instead of their original content. The following fields are considered sensitive data: remote_ip, remote_host, remote_port, x_forwarded_for, remote_user, referer. Logging of all or some of these fields can be activated by setting the following environment variables:

Environment variable Value Enables sensitive field
LOG_SENSITIVE_CONNECTION_DATA true remote_ip, remote_host, remote_port, x_forwarded_for
LOG_REMOTE_USER true remote_user
LOG_REFERER true referer

This behavior matches the corresponding mechanism in the CF Java Logging Support library.


For more examples please see the tests within the ./tests/ directory.


No external requirements are needed to run the package.



Known Issues


How to obtain support

Please open an issue on the github page.


Please create a pull request and briefly describe the nature of the change. Please submit a test case along with your pull request.

To-Do (upcoming changes)





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