Skip to main content

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

Project description

https://api.reuse.software/badge/github.com/SAP/cf-python-logging-support

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.

Features

  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.

Installation

Install the package with pip:

pip install sap_cf_logging

Usage

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.

Configuration

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

Flask

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

@app.route('/')
def root_route():
    logger = logging.getLogger('my.logger')
    logger.info('Hi')

    return 'ok'

Note the logs generated by the application

Sanic

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')
sanic_logging.init(app)

@app.route('/')
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.

Falcon

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)
        resp.media = {'name': 'Cloud Foundry'}


app = falcon.API(middleware=[
    falcon_logging.LoggingMiddleware()
])
app.add_route('/resource', Resource())
falcon_logging.init(app)

Django

django-admin startproject example
# example/settings.py

    MIDDLEWARES = [
        # ...,
        'sap.cf_logging.django_logging.LoggingMiddleware'
    ]

# example/wsgi.py

    # ...
    from sap.cf_logging import django_logging

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

    # ...

Create a new app

python manage.py startapp example_app
# example_app/views.py

    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')
        logger.info("Resource requested", extra=extra)
        return HttpResponse("ok")

# example_app/urls.py

    from django.conf.urls import url

    from . import views

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

# example/urls.py

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

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

General

import logging
from sap import cf_logging

cf_logging.init()

logger = logging.getLogger("cli.logger")
logger.info('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:

logging.getLogger('my.logger').debug('Hi')

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:

cf_logging.FRAMEWORK.context.get_correlation_id()
cf_logging.FRAMEWORK.context.set_correlation_id(value)

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:

cf_logging.FRAMEWORK.context.get_correlation_id(request)

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.

Examples

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

Requirements

No external requirements are needed to run the package.

Limitations

NA

Known Issues

NA

How to obtain support

Please open an issue on the github page.

Contributing

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)

NA

Changelog

See CHANGELOG file.

License

Copyright (c) 2017-2021 SAP SE or an SAP affiliate company and cf-python-logging-support contributors. Please see our LICENSE file for copyright and license information. Detailed information including third-party components and their licensing/copyright information is available via the REUSE tool.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sap_cf_logging-4.2.7.tar.gz (28.5 kB view details)

Uploaded Source

Built Distribution

sap_cf_logging-4.2.7-py2.py3-none-any.whl (31.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file sap_cf_logging-4.2.7.tar.gz.

File metadata

  • Download URL: sap_cf_logging-4.2.7.tar.gz
  • Upload date:
  • Size: 28.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.0b4

File hashes

Hashes for sap_cf_logging-4.2.7.tar.gz
Algorithm Hash digest
SHA256 e24c2611da5cf380714c3c9dcb8440870444379b7fc42971122b030311eed247
MD5 ced0da88b6e3fc7a31ec68e85abd5284
BLAKE2b-256 571fc848ad1f0e14c34d00a22dfe0f735c1ae824ae1d478c10d5b2b74a44273d

See more details on using hashes here.

File details

Details for the file sap_cf_logging-4.2.7-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for sap_cf_logging-4.2.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 21e3247e180317c58c206888e8f795928fd8f7d38ab2dd94aaf08812843d9471
MD5 f93333d1436df4e7f21e48ad656de0ea
BLAKE2b-256 1bbf7e1ba9626dabbb0f4c1a9e4a6ca1e9e25ceecb521752dabfdc51947eb2d1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page