Files
2020-04-08 10:39:44 -07:00

147 lines
5.2 KiB
Python

import asyncio
from ..asyncio import context_provider
from ...compat import stringify
from ...constants import ANALYTICS_SAMPLE_RATE_KEY
from ...ext import SpanTypes, http
from ...propagation.http import HTTPPropagator
from ...settings import config
CONFIG_KEY = 'datadog_trace'
REQUEST_CONTEXT_KEY = 'datadog_context'
REQUEST_CONFIG_KEY = '__datadog_trace_config'
REQUEST_SPAN_KEY = '__datadog_request_span'
@asyncio.coroutine
def trace_middleware(app, handler):
"""
``aiohttp`` middleware that traces the handler execution.
Because handlers are run in different tasks for each request, we attach the Context
instance both to the Task and to the Request objects. In this way:
* the Task is used by the internal automatic instrumentation
* the ``Context`` attached to the request can be freely used in the application code
"""
@asyncio.coroutine
def attach_context(request):
# application configs
tracer = app[CONFIG_KEY]['tracer']
service = app[CONFIG_KEY]['service']
distributed_tracing = app[CONFIG_KEY]['distributed_tracing_enabled']
# Create a new context based on the propagated information.
if distributed_tracing:
propagator = HTTPPropagator()
context = propagator.extract(request.headers)
# Only need to active the new context if something was propagated
if context.trace_id:
tracer.context_provider.activate(context)
# trace the handler
request_span = tracer.trace(
'aiohttp.request',
service=service,
span_type=SpanTypes.WEB,
)
# Configure trace search sample rate
# DEV: aiohttp is special case maintains separate configuration from config api
analytics_enabled = app[CONFIG_KEY]['analytics_enabled']
if (config.analytics_enabled and analytics_enabled is not False) or analytics_enabled is True:
request_span.set_tag(
ANALYTICS_SAMPLE_RATE_KEY,
app[CONFIG_KEY].get('analytics_sample_rate', True)
)
# attach the context and the root span to the request; the Context
# may be freely used by the application code
request[REQUEST_CONTEXT_KEY] = request_span.context
request[REQUEST_SPAN_KEY] = request_span
request[REQUEST_CONFIG_KEY] = app[CONFIG_KEY]
try:
response = yield from handler(request)
return response
except Exception:
request_span.set_traceback()
raise
return attach_context
@asyncio.coroutine
def on_prepare(request, response):
"""
The on_prepare signal is used to close the request span that is created during
the trace middleware execution.
"""
# safe-guard: discard if we don't have a request span
request_span = request.get(REQUEST_SPAN_KEY, None)
if not request_span:
return
# default resource name
resource = stringify(response.status)
if request.match_info.route.resource:
# collect the resource name based on http resource type
res_info = request.match_info.route.resource.get_info()
if res_info.get('path'):
resource = res_info.get('path')
elif res_info.get('formatter'):
resource = res_info.get('formatter')
elif res_info.get('prefix'):
resource = res_info.get('prefix')
# prefix the resource name by the http method
resource = '{} {}'.format(request.method, resource)
if 500 <= response.status < 600:
request_span.error = 1
request_span.resource = resource
request_span.set_tag('http.method', request.method)
request_span.set_tag('http.status_code', response.status)
request_span.set_tag(http.URL, request.url.with_query(None))
# DEV: aiohttp is special case maintains separate configuration from config api
trace_query_string = request[REQUEST_CONFIG_KEY].get('trace_query_string')
if trace_query_string is None:
trace_query_string = config._http.trace_query_string
if trace_query_string:
request_span.set_tag(http.QUERY_STRING, request.query_string)
request_span.finish()
def trace_app(app, tracer, service='aiohttp-web'):
"""
Tracing function that patches the ``aiohttp`` application so that it will be
traced using the given ``tracer``.
:param app: aiohttp application to trace
:param tracer: tracer instance to use
:param service: service name of tracer
"""
# safe-guard: don't trace an application twice
if getattr(app, '__datadog_trace', False):
return
setattr(app, '__datadog_trace', True)
# configure datadog settings
app[CONFIG_KEY] = {
'tracer': tracer,
'service': service,
'distributed_tracing_enabled': True,
'analytics_enabled': None,
'analytics_sample_rate': 1.0,
}
# the tracer must work with asynchronous Context propagation
tracer.configure(context_provider=context_provider)
# add the async tracer middleware as a first middleware
# and be sure that the on_prepare signal is the last one
app.middlewares.insert(0, trace_middleware)
app.on_response_prepare.append(on_prepare)