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[SVLS-4647] Fix lambda authorizer trace context injection issue #453

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Merged
merged 1 commit into from
Mar 27, 2024
Merged

[SVLS-4647] Fix lambda authorizer trace context injection issue #453

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10 changes: 2 additions & 8 deletions datadog_lambda/wrapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,6 @@
TraceContextSource,
XraySubsegment,
Headers,
TraceHeader,
)
from datadog_lambda.metric import (
flush_stats,
Expand All @@ -44,6 +43,7 @@
InferredSpanInfo,
is_authorizer_response,
tracer,
propagator,
)
from datadog_lambda.trigger import (
extract_trigger_tags,
Expand Down Expand Up @@ -254,13 +254,7 @@ def _inject_authorizer_span_headers(self, request_id):
injected_headers = {}
source_span = self.inferred_span if self.inferred_span else self.span
span_context = source_span.context
injected_headers[TraceHeader.TRACE_ID] = str(span_context.trace_id)
injected_headers[TraceHeader.PARENT_ID] = str(span_context.span_id)
sampling_priority = span_context.sampling_priority
if sampling_priority is not None:
injected_headers[TraceHeader.SAMPLING_PRIORITY] = str(
span_context.sampling_priority
)
propagator.inject(span_context, injected_headers)
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Great catch, I wonder if this methods should eventually be refactored into a tracing service and not the wrapper 😕

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the propagator.inject ends up injecting into injected_headers, correct?

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Good question!

Having the same thought, I went ahead trying to refactor it.
Then I found it's already in a helper method called _inject_authorizer_span_headers.
Then it felt that the injection is more relevant to the wrapper because the wrapper now has the inferred_span or span data and it also should be responsible for the final response data. And then at this point, the injection became more like prepare_response and the only tracer related part is already encapsulated by the propagator.inject helper.
Hope this makes sense.

injected_headers[Headers.Parent_Span_Finish_Time] = finish_time_ns
if request_id is not None:
injected_headers[Headers.Authorizing_Request_Id] = request_id
Expand Down
19 changes: 9 additions & 10 deletions tests/test_wrapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@
from datadog_lambda.metric import lambda_metric
from datadog_lambda.thread_stats_writer import ThreadStatsWriter
from ddtrace import Span, tracer
from ddtrace.internal.constants import MAX_UINT_64BITS


def get_mock_context(
Expand Down Expand Up @@ -543,19 +544,19 @@ def lambda_handler(event, context):
lambda_event = {}

lambda_context = get_mock_context()
mock_span = Span(name="my_inferred_span", span_id=123, trace_id=456)
mock_span.context.sampling_priority = "1"
mock_span.context.dd_origin = None
mock_span.start_ns = 1668127541671386817
mock_span.duration_ns = 1e8
lambda_handler.inferred_span = mock_span
test_span = tracer.trace("test_span")
trace_ctx = tracer.current_trace_context()
test_span.finish()
lambda_handler.inferred_span = test_span
lambda_handler.make_inferred_span = False
result = lambda_handler(lambda_event, lambda_context)
raw_inject_data = result["context"]["_datadog"]
self.assertIsInstance(raw_inject_data, str)
inject_data = json.loads(base64.b64decode(raw_inject_data))
self.assertEqual(inject_data[TraceHeader.PARENT_ID], "123")
self.assertEqual(inject_data[TraceHeader.TRACE_ID], "456")
self.assertEqual(inject_data[TraceHeader.PARENT_ID], str(trace_ctx.span_id))
self.assertEqual(
inject_data[TraceHeader.TRACE_ID], str(MAX_UINT_64BITS & trace_ctx.trace_id)
)
self.assertEqual(inject_data[TraceHeader.SAMPLING_PRIORITY], "1")
self.assertEqual(result["context"]["scope"], "still here")

Expand Down Expand Up @@ -662,7 +663,6 @@ def tearDown(self):

@patch("datadog_lambda.wrapper.should_use_extension", True)
def test_local_test_envvar_flushing(self):

flushes = []
lambda_event = {}
lambda_context = get_mock_context()
Expand All @@ -680,7 +680,6 @@ def flush():
({"DD_LOCAL_TEST": ""}, False),
({}, False),
):

os.environ = environ
flushes.clear()

Expand Down