Skip to main content

Opentelemetry instrumentor for django-outbox-pattern package

Project description

Opentelemetry auto instrumentation for django outbox pattern library

Maintainability Rating Coverage Quality Gate Status Code style: black PyPI version GitHub

This library will help you to use opentelemetry traces and metrics on Django outbox pattern usage library.

Django outbox pattern instrumentation

Installation

pip install opentelemetry-instrumentation-django-outbox-pattern

How to use ?

You can use the DjangoOutboxPatternInstrumentor().instrument() for example in manage.py file.

#!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
import typing

from opentelemetry_instrumentation_django_outbox_pattern import DjangoOutboxPatternInstrumentor

from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.sdk.trace.export import ConsoleSpanExporter
from opentelemetry.trace.span import Span


def publisher_hook(span: Span, body: typing.Dict, headers: typing.Dict):
    # Custom code in your project here we can see span attributes and make custom logic with then.
    pass


def consumer_hook(span: Span, body: typing.Dict, headers: typing.Dict):
    # Custom code in your project here we can see span attributes and make custom logic with then.
    pass


provider = TracerProvider()
trace.set_tracer_provider(provider)
provider.add_span_processor(BatchSpanProcessor(ConsoleSpanExporter()))

def main():
    os.environ.setdefault("DJANGO_SETTINGS_MODULE", "application.settings")
    DjangoOutboxPatternInstrumentor().instrument(
        trace_provider=trace,
        publisher_hook=publisher_hook,
        consumer_hook=consumer_hook,
    )
    try:
        from django.core.management import execute_from_command_line
    except ImportError as exc:
        raise ImportError(
            "Couldn't import Django. Are you sure it's installed and "
            "available on your PYTHONPATH environment variable? Did you "
            "forget to activate a virtual environment?"
        ) from exc
    execute_from_command_line(sys.argv)


if __name__ == "__main__":
    main()

The code above will create telemetry wrappers inside django-outbox-pattern code and creates automatic spans with broker data.

The DjangoOutboxPatternInstrumentor can receive three optional parameters:

  • trace_provider: The tracer provider to use in open-telemetry spans.
  • publisher_hook: The callable function on publisher action to call before the original function call, use this to override, enrich the span or get span information in the main project.
  • consumer_hook: The callable function on consumer action to call before the original function call, use this to override, enrich the span or get span information in the main project.

:warning: The hook function will not raise an exception when an error occurs inside hook function, only a warning log is generated

Span Generated

save published {destination}

With the django-outbox-pattern, when you create on Published objects one object is saved and this saved is instrumentalized.

from django_outbox_pattern.models import Published

Published.objects.create(
    destination='destination',
    body={
        "random": "body"
    },
)
    

The outbox save span had save published {destination} name.

save example

send {destination}

After save the object in Published model the publish command will get all pending messages and publish there to broker

python manage.py publish

The outbox publish span had publish {destination} name.

publisher example

Consumer

Using the django-outbox-pattern, we create a simple consumer using subscribe management command, using this command we can see the consumer spans.

   python manage.py subscribe 'dotted.path.to.callback' 'destination' 'queue_name'

Consumer spans can generate up to three types:

  • process {destination} process trace
  • ack {destination} ack trace
  • nack {destination} nack trace

Supress django-outbox-pattern traces and metrics

When the flag OTEL_PYTHON_DJANGO_OUTBOX_PATTERN_INSTRUMENT has False value traces and metrics will not be generated. Use this to supress the django-outbox-pattern-instrumentation instrumentation.

HOW TO CONTRIBUTE ?

Look the contributing specs

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

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file opentelemetry_instrumentation_django_outbox_pattern-0.0.1.tar.gz.

File metadata

File hashes

Hashes for opentelemetry_instrumentation_django_outbox_pattern-0.0.1.tar.gz
Algorithm Hash digest
SHA256 370b2b6134a8724c9117ca678c90caab5ccb7061cdb9e1dfd4d8a4349178e6a7
MD5 7f236b5e5a5722d234bee28923caa838
BLAKE2b-256 cce8c7d98d510f5c5adc764a17c76ee743570b41216d6558bcae760b0a5e7130

See more details on using hashes here.

File details

Details for the file opentelemetry_instrumentation_django_outbox_pattern-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for opentelemetry_instrumentation_django_outbox_pattern-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d8bd635ba84d825817c2e7278f10702bc1aa27c1322175a8ae0a22ed871d3262
MD5 52a0614657d7e95468327dbbb5c50e22
BLAKE2b-256 7daaced8329a4b90beabee024c823c77e56787e08358d07ab2aecf9f84e4837c

See more details on using hashes here.

Supported by

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