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feat: Add middleware DatadogDiagnosticMiddleware #735

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Jul 24, 2024
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6 changes: 6 additions & 0 deletions CHANGELOG.rst
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,12 @@ Change Log
Unreleased
~~~~~~~~~~

[3.6.0] - 2024-07-25
~~~~~~~~~~~~~~~~~~~~
Added
-----
* New middleware ``edx_arch_experiments.datadog_diagnostics.middleware.DatadogDiagnosticMiddleware`` for logging diagnostics on traces in Datadog.

[3.5.1] - 2024-07-15
~~~~~~~~~~~~~~~~~~~~
Changed
Expand Down
2 changes: 1 addition & 1 deletion edx_arch_experiments/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -2,4 +2,4 @@
A plugin to include applications under development by the architecture team at 2U.
"""

__version__ = '3.5.1'
__version__ = '3.6.0'
75 changes: 75 additions & 0 deletions edx_arch_experiments/datadog_diagnostics/middleware.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,75 @@
"""
Diagnostic middleware for Datadog.
"""

import logging

from django.core.exceptions import MiddlewareNotUsed
from edx_toggles.toggles import WaffleFlag

log = logging.getLogger(__name__)

# .. toggle_name: datadog.diagnostics.log_root_span
# .. toggle_implementation: WaffleFlag
# .. toggle_default: False
# .. toggle_description: Enables logging of Datadog root span IDs for web requests.
# .. toggle_warning: This is a noisy feature and so it should only be enabled
# for a percentage of requests.
Comment on lines +16 to +17
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Right now we are dealing with both Splunk and Datadog, so this makes sense. Also, our Log Ingest was high (over-budget), but SRE may have taken care of that for us? Otherwise, in the future, we could instead control this via Log Index rules that could be tuned based on noisiness. Although the log messages might still affect disk usage, if it really is high.

# .. toggle_use_cases: temporary
# .. toggle_creation_date: 2024-07-24
# .. toggle_target_removal_date: 2024-10-01
# .. toggle_tickets: https://github.com/edx/edx-arch-experiments/issues/692
LOG_ROOT_SPAN = WaffleFlag('datadog.diagnostics.log_root_span', module_name=__name__)


# pylint: disable=missing-function-docstring
class DatadogDiagnosticMiddleware:
"""
Middleware to add diagnostic logging for Datadog.

Best added early in the middleware stack.

Only activates if ``ddtrace`` package is installed and
``datadog.diagnostics.log_root_span`` Waffle flag is enabled.
"""
def __init__(self, get_response):
self.get_response = get_response
self.error = False

try:
from ddtrace import tracer # pylint: disable=import-outside-toplevel
self.dd_tracer = tracer
except ImportError:
# If import fails, don't even load this middleware.
raise MiddlewareNotUsed # pylint: disable=raise-missing-from

def __call__(self, request):
return self.get_response(request)

def process_view(self, request, _view_func, _view_args, _view_kwargs):
try:
self.log_diagnostics(request)
except BaseException as e:
# If there's an error, it will probably hit every request,
# so let's just log it once.
if not self.error:
self.error = True
log.error(
"Encountered error in DatadogDiagnosticMiddleware "
f"(suppressing further errors): {e!r}"
)

def log_diagnostics(self, request):
"""
Contains all the actual logging logic.
"""
if LOG_ROOT_SPAN.is_enabled():
route_pattern = getattr(request.resolver_match, 'route', None)
local_root_span = self.dd_tracer.current_root_span()
current_span = self.dd_tracer.current_span()
# pylint: disable=protected-access
log.info(
f"Datadog span diagnostics: Route = {route_pattern}; "
f"local root span = {local_root_span._pprint()}; "
f"current span = {current_span._pprint()}"
)
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