opentracing-async-instrumentation 0.1.3

Async Tracing Instrumentation using OpenTracing API (http://opentracing.io)

python-opentracing-async-instrumentation

A collection of asyncio instrumentation tools to enable tracing with OpenTracing API.

Module

Make sure you are running recent enough versions of pip and setuptools, e.g. before installing your project requirements execute this:

pip install --upgrade "setuptools>=29" "pip>=9"

The module name is opentracing_async_instrumentation.

What's inside

Supported client frameworks

The following libraries are instrumented for tracing in this module:

• aiobotocore — Asyncio AWS SDK for Python
• aioboto3 — Asyncio AWS SDK for Python (uses aiobotocore under the hood)
• aiohttp - Asyncio HTTP server and client

Planned libraries

• aiomysql

Limitations

• Only Python 3.5+ is currently supported.

Server instrumentation

For inbound requests a helper function before_request is provided for creating middleware for frameworks like aiohttp and possibly Tornado.

A middleware is provided for aiohttp.

In-process Context Propagation

As part of the OpenTracing 2.0 API, in-process Span propagation happens through the newly defined ScopeManager interface.

Usage

This library provides two types of instrumentation, explicit instrumentation for server endpoints, and implicit instrumentation for client call sites.

Server

Server endpoints are instrumented by creating a (or using a provided) middleware class that:

1. initializes the specific tracer implementation
2. wraps incoming request handlers into a method that reads the incoming tracing info from the request and creates a new tracing Span

from aiohttp import web
from opentracing_async_instrumentation.client_hooks import aiohttpserver

async def handler(request):
    return web.Response(body='Hello World')

app = web.Application()
app.router.add_get('/', handler)
app.middlewares.append(aiohttpserver.enable_tracing)

if __name__ == '__main__':
    web.run_app(app)

Client

Client call sites are instrumented implicitly by executing a set of available client_hooks that monkey-patch some API points in several common libraries like aiohttp and aiobotocore. The initialization of those hooks is usually also done from the middleware class's __init__ method.

Usage is via the client_hooks interface.

from opentracing_async_instrumentation import client_hooks

client_hooks.install_all_patches()

Customization

For the aiohttp library, in case you want to set custom tags to spans depending on content or some metadata of responses, you can set response_handler_hook. The hook must be a method with a signature (response, span), where response and span are positional arguments, so you can use different names for them if needed.

from opentracing_async_instrumentation.client_hooks.aiohttpclient import patcher


def hook(response, span):
    if not response.ok:
        span.set_tag('error', 'true')


patcher.set_response_handler_hook(hook)

Development

To prepare a development environment please execute the following commands.

virtualenv env
source env/bin/activate
make bootstrap
make test

You can use tox to run tests as well.

tox