Skip to main content

Structured Logging for Django

Project description

django-structlog

PyPI version PyPI - Wheel Build Status Documentation Status codecov GitHub issues GitHub pull requests
PyPI - Django Version Supported Python versions License Black
GitHub watchers GitHub stars GitHub forks

django-structlog is a structured logging integration for Django project using structlog

Logging will then produce additional cohesive metadata on each logs that makes it easier to track events or incidents.

Logging comparison

Standard logging:

>>> import logging
>>> logger = logging.get_logger(__name__)
>>> logger.info("An error occurred")
An error occurred

Well… ok

With django-structlog and flat_line:

>>> import structlog
>>> logger = structlog.get_logger(__name__)
>>> logger.info("an_error_occurred", bar="Buz")
timestamp='2019-04-13T19:39:31.089925Z' level='info' event='an_error_occurred' logger='my_awesome_project.my_awesome_module' request_id='3a8f801c-072b-4805-8f38-e1337f363ed4' user_id=1 ip='0.0.0.0' bar='Buz'

Then you can search with commands like:

$ cat logs/flat_line.log | grep request_id='3a8f801c-072b-4805-8f38-e1337f363ed4'

With django-structlog and json

>>> import structlog
>>> logger = structlog.get_logger(__name__)
>>> logger.info("an_error_occurred", bar="Buz")
{"request_id": "3a8f801c-072b-4805-8f38-e1337f363ed4", "user_id": 1, "ip": "0.0.0.0", "event": "an_error_occurred", "timestamp": "2019-04-13T19:39:31.089925Z", "logger": "my_awesome_project.my_awesome_module", "level": "info", "bar": "Buz"}

Then you can search with commands like:

$ cat logs/json.log | jq '.[] | select(.request_id="3a8f801c-072b-4805-8f38-e1337f363ed4")' -s

Getting Started

These steps will show how to integrate the middleware to your awesome application.

Installation

Install the library

pip install django-structlog

Add middleware

MIDDLEWARE = [
    # ...
    'django_structlog.middlewares.RequestMiddleware',
]

Add appropriate structlog configuration to your settings.py

import structlog

LOGGING = {
    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "json_formatter": {
            "()": structlog.stdlib.ProcessorFormatter,
            "processor": structlog.processors.JSONRenderer(),
        },
        "plain_console": {
            "()": structlog.stdlib.ProcessorFormatter,
            "processor": structlog.dev.ConsoleRenderer(),
        },
        "key_value": {
            "()": structlog.stdlib.ProcessorFormatter,
            "processor": structlog.processors.KeyValueRenderer(key_order=['timestamp', 'level', 'event', 'logger']),
        },
    },
    "handlers": {
        "console": {
            "class": "logging.StreamHandler",
            "formatter": "plain_console",
        },
        "json_file": {
            "class": "logging.handlers.WatchedFileHandler",
            "filename": "logs/json.log",
            "formatter": "json_formatter",
        },
        "flat_line_file": {
            "class": "logging.handlers.WatchedFileHandler",
            "filename": "logs/flat_line.log",
            "formatter": "key_value",
        },
    },
    "loggers": {
        "django_structlog": {
            "handlers": ["console", "flat_line_file", "json_file"],
            "level": "INFO",
        },
        # Make sure to replace the following logger's name for yours
        "django_structlog_demo_project": {
            "handlers": ["console", "flat_line_file", "json_file"],
            "level": "INFO",
        },
    }
}

structlog.configure(
    processors=[
        structlog.contextvars.merge_contextvars,
        structlog.stdlib.filter_by_level,
        structlog.processors.TimeStamper(fmt="iso"),
        structlog.stdlib.add_logger_name,
        structlog.stdlib.add_log_level,
        structlog.stdlib.PositionalArgumentsFormatter(),
        structlog.processors.StackInfoRenderer(),
        structlog.processors.format_exc_info,
        structlog.processors.UnicodeDecoder(),
        structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
    ],
    logger_factory=structlog.stdlib.LoggerFactory(),
    cache_logger_on_first_use=True,
)

Start logging with structlog instead of logging.

import structlog
logger = structlog.get_logger(__name__)

Extending Request Log Metadata

By default only a request_id and the user_id are bound from the request but pertinent log metadata may vary from a project to another.

If you need to add more metadata from the request you can implement a convenient signal receiver to bind them. You can also override existing bound metadata the same way.

from django.dispatch import receiver

from django_structlog.signals import bind_extra_request_metadata
import structlog


@receiver(bind_extra_request_metadata)
def bind_user_email(request, logger, **kwargs):
    structlog.contextvars.bind_contextvars(user_email=getattr(request.user, 'email', ''))

Standard Loggers

It is also possible to log using standard python logger.

In your formatters, add the foreign_pre_chain section, and then add structlog.contextvars.merge_contextvars:

LOGGING = {
    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "json_formatter": {
            "()": structlog.stdlib.ProcessorFormatter,
            "processor": structlog.processors.JSONRenderer(),
            # Add this section:
            "foreign_pre_chain": [
                structlog.contextvars.merge_contextvars, # <---- add this
                # customize the rest as you need
                structlog.processors.TimeStamper(fmt="iso"),
                structlog.stdlib.add_logger_name,
                structlog.stdlib.add_log_level,
                structlog.stdlib.PositionalArgumentsFormatter(),
            ],
        },
    },
    ...
 }

Example outputs

Flat lines file (logs/flat_lines.log)

timestamp='2019-04-13T19:39:29.321453Z' level='info' event='request_started' logger='django_structlog.middlewares.request' request_id='c53dff1d-3fc5-4257-a78a-9a567c937561' user_id=1 ip='0.0.0.0' request=GET / user_agent='Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'
timestamp='2019-04-13T19:39:29.345207Z' level='info' event='request_finished' logger='django_structlog.middlewares.request' request_id='c53dff1d-3fc5-4257-a78a-9a567c937561' user_id=1 ip='0.0.0.0' code=200
timestamp='2019-04-13T19:39:31.086155Z' level='info' event='request_started' logger='django_structlog.middlewares.request' request_id='3a8f801c-072b-4805-8f38-e1337f363ed4' user_id=1 ip='0.0.0.0' request=POST /success_task user_agent='Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36'
timestamp='2019-04-13T19:39:31.089925Z' level='info' event='Enqueuing successful task' logger='django_structlog_demo_project.home.views' request_id='3a8f801c-072b-4805-8f38-e1337f363ed4' user_id=1 ip='0.0.0.0'
timestamp='2019-04-13T19:39:31.147590Z' level='info' event='task_enqueued' logger='django_structlog.middlewares.celery' request_id='3a8f801c-072b-4805-8f38-e1337f363ed4' user_id=1 ip='0.0.0.0' child_task_id='6b11fd80-3cdf-4de5-acc2-3fd4633aa654'
timestamp='2019-04-13T19:39:31.153081Z' level='info' event='This is a successful task' logger='django_structlog_demo_project.taskapp.celery' task_id='6b11fd80-3cdf-4de5-acc2-3fd4633aa654' request_id='3a8f801c-072b-4805-8f38-e1337f363ed4' user_id=1 ip='0.0.0.0'
timestamp='2019-04-13T19:39:31.160043Z' level='info' event='request_finished' logger='django_structlog.middlewares.request' request_id='3a8f801c-072b-4805-8f38-e1337f363ed4' user_id=1 ip='0.0.0.0' code=201
timestamp='2019-04-13T19:39:31.162372Z' level='info' event='task_succeed' logger='django_structlog.middlewares.celery' task_id='6b11fd80-3cdf-4de5-acc2-3fd4633aa654' request_id='3a8f801c-072b-4805-8f38-e1337f363ed4' user_id=1 ip='0.0.0.0' result='None'

Json file (logs/json.log)

{"request_id": "c53dff1d-3fc5-4257-a78a-9a567c937561", "user_id": 1, "ip": "0.0.0.0", "request": "GET /", "user_agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36", "event": "request_started", "timestamp": "2019-04-13T19:39:29.321453Z", "logger": "django_structlog.middlewares.request", "level": "info"}
{"request_id": "c53dff1d-3fc5-4257-a78a-9a567c937561", "user_id": 1, "ip": "0.0.0.0", "code": 200, "event": "request_finished", "timestamp": "2019-04-13T19:39:29.345207Z", "logger": "django_structlog.middlewares.request", "level": "info"}
{"request_id": "3a8f801c-072b-4805-8f38-e1337f363ed4", "user_id": 1, "ip": "0.0.0.0", "request": "POST /success_task", "user_agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36", "event": "request_started", "timestamp": "2019-04-13T19:39:31.086155Z", "logger": "django_structlog.middlewares.request", "level": "info"}
{"request_id": "3a8f801c-072b-4805-8f38-e1337f363ed4", "user_id": 1, "ip": "0.0.0.0", "event": "Enqueuing successful task", "timestamp": "2019-04-13T19:39:31.089925Z", "logger": "django_structlog_demo_project.home.views", "level": "info"}
{"request_id": "3a8f801c-072b-4805-8f38-e1337f363ed4", "user_id": 1, "ip": "0.0.0.0", "child_task_id": "6b11fd80-3cdf-4de5-acc2-3fd4633aa654", "event": "task_enqueued", "timestamp": "2019-04-13T19:39:31.147590Z", "logger": "django_structlog.middlewares.celery", "level": "info"}
{"task_id": "6b11fd80-3cdf-4de5-acc2-3fd4633aa654", "request_id": "3a8f801c-072b-4805-8f38-e1337f363ed4", "user_id": 1, "ip": "0.0.0.0", "event": "This is a successful task", "timestamp": "2019-04-13T19:39:31.153081Z", "logger": "django_structlog_demo_project.taskapp.celery", "level": "info"}
{"request_id": "3a8f801c-072b-4805-8f38-e1337f363ed4", "user_id": 1, "ip": "0.0.0.0", "code": 201, "event": "request_finished", "timestamp": "2019-04-13T19:39:31.160043Z", "logger": "django_structlog.middlewares.request", "level": "info"}
{"task_id": "6b11fd80-3cdf-4de5-acc2-3fd4633aa654", "request_id": "3a8f801c-072b-4805-8f38-e1337f363ed4", "user_id": 1, "ip": "0.0.0.0", "result": "None", "event": "task_succeed", "timestamp": "2019-04-13T19:39:31.162372Z", "logger": "django_structlog.middlewares.celery", "level": "info"}

Upgrade Guide

Upgrading to 5.0+

Changes you may need to do

1. Make sure you use django_structlog.middlewares.RequestMiddleware

If you used any of the experimental async or sync middlewares, you do not need to anymore. Make sure you use django_structlog.middlewares.RequestMiddleware instead of any of the other request middlewares commented below:

MIDDLEWARE += [
    # "django_structlog.middlewares.request_middleware_router", # <- remove
    # "django_structlog.middlewares.requests.SyncRequestMiddleware", # <- remove
    # "django_structlog.middlewares.requests.AsyncRequestMiddleware", # <- remove
    "django_structlog.middlewares.RequestMiddleware", # <- make sure you use this one
    "django_structlog.middlewares.CeleryMiddleware",
]

They will be removed in another major version.

2. django_structlog.signals.bind_extra_request_failed_metadata was removed

The signal bind_extra_request_failed_metadata was removed since it was never called.

Remove your custom signal.

Upgrading to 4.0+

django-structlog drops support of django below 3.2.

Minimum requirements

  • requires django 3.2+

  • requires python 3.7+

  • requires structlog 21.4.0+

  • (optionally) requires celery 5.1+

Changes if you use celery

You can now install django-structlog explicitly with celery extra in order to validate the compatibility with your version of celery.

django-structlog[celery]==4.0.0

See Installing “Extras” for more information about this pip feature.

Upgrading to 3.0+

django-structlog now use structlog.contextvars.bind_contextvars instead of threadlocal.

Minimum requirements

  • requires python 3.7+

  • requires structlog 21.4.0+

Changes you need to do

1. Update structlog settings
  • add structlog.contextvars.merge_contextvars as first processors

  • remove context_class=structlog.threadlocal.wrap_dict(dict),

  • (if you use standard loggers) add structlog.contextvars.merge_contextvars in foreign_pre_chain

  • (if you use standard loggers) remove django_structlog.processors.inject_context_dict,

structlog.configure(
    processors=[
        structlog.contextvars.merge_contextvars, # <---- add this
        structlog.stdlib.filter_by_level,
        structlog.processors.TimeStamper(fmt="iso"),
        structlog.stdlib.add_logger_name,
        structlog.stdlib.add_log_level,
        structlog.stdlib.PositionalArgumentsFormatter(),
        structlog.processors.StackInfoRenderer(),
        structlog.processors.format_exc_info,
        structlog.processors.UnicodeDecoder(),
        structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
    ],
    # context_class=structlog.threadlocal.wrap_dict(dict), # <---- remove this
    logger_factory=structlog.stdlib.LoggerFactory(),
    cache_logger_on_first_use=True,
)

# If you use standard logging
LOGGING = {
    "version": 1,
    "disable_existing_loggers": False,
    "formatters": {
        "json_formatter": {
            "()": structlog.stdlib.ProcessorFormatter,
            "processor": structlog.processors.JSONRenderer(),
            "foreign_pre_chain": [
                structlog.contextvars.merge_contextvars, # <---- add this
                # django_structlog.processors.inject_context_dict, # <---- remove this
                structlog.processors.TimeStamper(fmt="iso"),
                structlog.stdlib.add_logger_name,
                structlog.stdlib.add_log_level,
                structlog.stdlib.PositionalArgumentsFormatter(),
            ],
        },
    },
    ...
 }
2. Replace all logger.bind with structlog.contextvars.bind_contextvars
@receiver(bind_extra_request_metadata)
def bind_user_email(request, logger, **kwargs):
   # logger.bind(user_email=getattr(request.user, 'email', ''))
   structlog.contextvars.bind_contextvars(user_email=getattr(request.user, 'email', ''))

Upgrading to 2.0+

django-structlog was originally developed using the debug configuration ExceptionPrettyPrinter which led to incorrect handling of exception.

  • remove structlog.processors.ExceptionPrettyPrinter(), of your processors.

  • make sure you have structlog.processors.format_exc_info, in your processors if you want appropriate exception logging.

Running the tests

Note: For the moment redis is needed to run the tests. The easiest way is to start docker demo’s redis.

docker compose up -d redis
pip install -r requirements.txt
env CELERY_BROKER_URL=redis://0.0.0.0:6379 DJANGO_SETTINGS_MODULE=config.settings.test pytest test_app
env CELERY_BROKER_URL=redis://0.0.0.0:6379 DJANGO_SETTINGS_MODULE=config.settings.test_demo_app pytest django_structlog_demo_project
docker compose stop redis

Demo app

docker compose up --build

Open http://127.0.0.1:8000/ in your browser.

Navigate while looking into the log files and shell’s output.

Authors

  • Jules Robichaud-Gagnon - Initial work - jrobichaud

See also the list of contributors who participated in this project.

Acknowledgments

License

This project is licensed under the MIT License - see the LICENSE file for details

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

django-structlog-5.0.0.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

django_structlog-5.0.0-py3-none-any.whl (13.2 kB view details)

Uploaded Python 3

File details

Details for the file django-structlog-5.0.0.tar.gz.

File metadata

  • Download URL: django-structlog-5.0.0.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for django-structlog-5.0.0.tar.gz
Algorithm Hash digest
SHA256 adbe2cc4f9eb81bc40d32ef87a15f9f53c193de92c52e41bef2b21c77e29fc5c
MD5 cce253f18bc88904027f244a5ef728ac
BLAKE2b-256 063a725a9397cefef5bc63ca3a134af97b18eaeca83f7abef34fc80a85b7bb56

See more details on using hashes here.

File details

Details for the file django_structlog-5.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for django_structlog-5.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a17e54a70b3b1f24ad7f4152130311d7ee1460964f5b240de3122387ba72ae5c
MD5 f4f85b88bd7c513dfcfbc994eaf723ce
BLAKE2b-256 f14b0183c42eb44cbd41bd54bfe23b57b34b8dd14d1d174344f3c6c0a211fa0d

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