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test_tracing.py
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import copy
import functools
import json
import traceback
import pytest
import os
import unittest
from unittest.mock import Mock, patch, call
import ddtrace
from ddtrace import tracer
from ddtrace.context import Context
from ddtrace._trace._span_pointer import _SpanPointer
from ddtrace._trace._span_pointer import _SpanPointerDirection
from ddtrace._trace._span_pointer import _SpanPointerDescription
from datadog_lambda.constants import (
SamplingPriority,
TraceHeader,
TraceContextSource,
XraySubsegment,
)
from datadog_lambda.tracing import (
HIGHER_64_BITS,
LOWER_64_BITS,
_deterministic_sha256_hash,
create_inferred_span,
extract_dd_trace_context,
create_dd_dummy_metadata_subsegment,
create_function_execution_span,
get_dd_trace_context,
mark_trace_as_error_for_5xx_responses,
set_correlation_ids,
set_dd_trace_py_root,
_convert_xray_trace_id,
_convert_xray_entity_id,
_convert_xray_sampling,
InferredSpanInfo,
create_service_mapping,
determine_service_name,
service_mapping as global_service_mapping,
propagator,
emit_telemetry_on_exception_outside_of_handler,
is_legacy_lambda_step_function,
)
from datadog_lambda.trigger import EventTypes
from tests.utils import get_mock_context
function_arn = "arn:aws:lambda:us-west-1:123457598159:function:python-layer-test"
fake_xray_header_value = (
"Root=1-5e272390-8c398be037738dc042009320;Parent=94ae789b969f1cc5;Sampled=1"
)
fake_xray_header_value_parent_decimal = "10713633173203262661"
fake_xray_header_value_root_decimal = "3995693151288333088"
event_samples = "tests/event_samples/"
def with_trace_propagation_style(style):
style_list = list(style.split(","))
def _wrapper(fn):
@functools.wraps(fn)
def _wrap(*args, **kwargs):
from ddtrace.propagation.http import config
orig_extract = config._propagation_style_extract
orig_inject = config._propagation_style_inject
config._propagation_style_extract = style_list
config._propagation_style_inject = style_list
try:
return fn(*args, **kwargs)
finally:
config._propagation_style_extract = orig_extract
config._propagation_style_inject = orig_inject
return _wrap
return _wrapper
_test_extract_dd_trace_context = (
("api-gateway", Context(trace_id=12345, span_id=67890, sampling_priority=2)),
(
"api-gateway-no-apiid",
Context(trace_id=12345, span_id=67890, sampling_priority=2),
),
(
"api-gateway-non-proxy",
Context(trace_id=12345, span_id=67890, sampling_priority=2),
),
(
"api-gateway-non-proxy-async",
Context(trace_id=12345, span_id=67890, sampling_priority=2),
),
(
"api-gateway-websocket-connect",
Context(trace_id=12345, span_id=67890, sampling_priority=2),
),
(
"api-gateway-websocket-default",
Context(trace_id=12345, span_id=67890, sampling_priority=2),
),
(
"api-gateway-websocket-disconnect",
Context(trace_id=12345, span_id=67890, sampling_priority=2),
),
(
"authorizer-request-api-gateway-v1",
Context(
trace_id=13478705995797221209,
span_id=8471288263384216896,
sampling_priority=1,
),
),
("authorizer-request-api-gateway-v1-cached", None),
(
"authorizer-request-api-gateway-v2",
Context(
trace_id=14356983619852933354,
span_id=12658621083505413809,
sampling_priority=1,
),
),
("authorizer-request-api-gateway-v2-cached", None),
(
"authorizer-request-api-gateway-websocket-connect",
Context(
trace_id=5351047404834723189,
span_id=18230460631156161837,
sampling_priority=1,
),
),
("authorizer-request-api-gateway-websocket-message", None),
(
"authorizer-token-api-gateway-v1",
Context(
trace_id=17874798268144902712,
span_id=16184667399315372101,
sampling_priority=1,
),
),
("authorizer-token-api-gateway-v1-cached", None),
("cloudfront", None),
("cloudwatch-events", None),
("cloudwatch-logs", None),
("custom", None),
("dynamodb", None),
("eventbridge-custom", Context(trace_id=12345, span_id=67890, sampling_priority=2)),
(
"eventbridge-sqs",
Context(
trace_id=7379586022458917877,
span_id=2644033662113726488,
sampling_priority=1,
),
),
("http-api", Context(trace_id=12345, span_id=67890, sampling_priority=2)),
(
"kinesis",
Context(
trace_id=4948377316357291421,
span_id=2876253380018681026,
sampling_priority=1,
),
),
(
"kinesis-batch",
Context(
trace_id=4948377316357291421,
span_id=2876253380018681026,
sampling_priority=1,
),
),
("lambda-url", None),
("s3", None),
(
"sns-b64-msg-attribute",
Context(
trace_id=4948377316357291421,
span_id=6746998015037429512,
sampling_priority=1,
),
),
(
"sns-batch",
Context(
trace_id=4948377316357291421,
span_id=6746998015037429512,
sampling_priority=1,
),
),
(
"sns-string-msg-attribute",
Context(
trace_id=4948377316357291421,
span_id=6746998015037429512,
sampling_priority=1,
),
),
(
"sqs-batch",
Context(
trace_id=2684756524522091840,
span_id=7431398482019833808,
sampling_priority=1,
),
),
(
"sqs-java-upstream",
Context(
trace_id=7925498337868555493,
span_id=5245570649555658903,
sampling_priority=1,
),
),
(
"sns-sqs-java-upstream",
Context(
trace_id=4781801699472307582,
span_id=7752697518321801287,
sampling_priority=1,
),
),
(
"sqs-string-msg-attribute",
Context(
trace_id=2684756524522091840,
span_id=7431398482019833808,
sampling_priority=1,
),
),
({"headers": None}, None),
)
@pytest.mark.parametrize("event,expect", _test_extract_dd_trace_context)
def test_extract_dd_trace_context(event, expect):
if isinstance(event, str):
with open(f"{event_samples}{event}.json") as f:
event = json.load(f)
ctx = get_mock_context()
actual, _, _ = extract_dd_trace_context(event, ctx)
assert (expect is None) is (actual is None)
assert (expect is None) or actual.trace_id == expect.trace_id
assert (expect is None) or actual.span_id == expect.span_id
assert (expect is None) or actual.sampling_priority == expect.sampling_priority
class TestExtractAndGetDDTraceContext(unittest.TestCase):
def setUp(self):
global dd_tracing_enabled
dd_tracing_enabled = False
os.environ["_X_AMZN_TRACE_ID"] = fake_xray_header_value
patcher = patch("datadog_lambda.tracing.send_segment")
self.mock_send_segment = patcher.start()
self.addCleanup(patcher.stop)
patcher = patch("datadog_lambda.tracing.is_lambda_context")
self.mock_is_lambda_context = patcher.start()
self.mock_is_lambda_context.return_value = True
self.addCleanup(patcher.stop)
def tearDown(self):
global dd_tracing_enabled
dd_tracing_enabled = False
del os.environ["_X_AMZN_TRACE_ID"]
@with_trace_propagation_style("datadog")
def test_without_datadog_trace_headers(self):
lambda_ctx = get_mock_context()
ctx, source, event_source = extract_dd_trace_context({}, lambda_ctx)
self.assertEqual(source, "xray")
self.assertEqual(
ctx,
Context(
trace_id=int(fake_xray_header_value_root_decimal),
span_id=int(fake_xray_header_value_parent_decimal),
sampling_priority=2,
),
)
self.assertDictEqual(
get_dd_trace_context(),
{
TraceHeader.TRACE_ID: fake_xray_header_value_root_decimal,
TraceHeader.PARENT_ID: fake_xray_header_value_parent_decimal,
TraceHeader.SAMPLING_PRIORITY: "2",
},
{},
)
@with_trace_propagation_style("datadog")
def test_with_non_object_event(self):
lambda_ctx = get_mock_context()
ctx, source, event_source = extract_dd_trace_context(b"", lambda_ctx)
self.assertEqual(source, "xray")
self.assertEqual(
ctx,
Context(
trace_id=int(fake_xray_header_value_root_decimal),
span_id=int(fake_xray_header_value_parent_decimal),
sampling_priority=2,
),
)
self.assertDictEqual(
get_dd_trace_context(),
{
TraceHeader.TRACE_ID: fake_xray_header_value_root_decimal,
TraceHeader.PARENT_ID: fake_xray_header_value_parent_decimal,
TraceHeader.SAMPLING_PRIORITY: "2",
},
{},
)
@with_trace_propagation_style("datadog")
def test_with_incomplete_datadog_trace_headers(self):
lambda_ctx = get_mock_context()
ctx, source, event_source = extract_dd_trace_context(
{"headers": {TraceHeader.TRACE_ID: "123"}},
lambda_ctx,
)
self.assertEqual(source, "xray")
self.assertEqual(
ctx,
Context(
trace_id=int(fake_xray_header_value_root_decimal),
span_id=int(fake_xray_header_value_parent_decimal),
sampling_priority=2,
),
)
self.assertDictEqual(
get_dd_trace_context(),
{
TraceHeader.TRACE_ID: fake_xray_header_value_root_decimal,
TraceHeader.PARENT_ID: fake_xray_header_value_parent_decimal,
TraceHeader.SAMPLING_PRIORITY: "2",
},
)
def common_tests_with_trace_context_extraction_injection(
self, headers, event_containing_headers, lambda_context=get_mock_context()
):
ctx, source, event_source = extract_dd_trace_context(
event_containing_headers,
lambda_context,
)
self.assertEqual(source, "event")
expected_context = propagator.extract(headers)
self.assertEqual(ctx, expected_context)
create_dd_dummy_metadata_subsegment(ctx, XraySubsegment.TRACE_KEY)
self.mock_send_segment.assert_called()
self.mock_send_segment.assert_called_with(
XraySubsegment.TRACE_KEY,
expected_context,
)
# when no active ddtrace context, xray context would be used
expected_context.span_id = int(fake_xray_header_value_parent_decimal)
expected_headers = {}
propagator.inject(expected_context, expected_headers)
dd_context_headers = get_dd_trace_context()
self.assertDictEqual(expected_headers, dd_context_headers)
@with_trace_propagation_style("datadog")
def test_with_complete_datadog_trace_headers(self):
headers = {
TraceHeader.TRACE_ID: "123",
TraceHeader.PARENT_ID: "321",
TraceHeader.SAMPLING_PRIORITY: "1",
}
self.common_tests_with_trace_context_extraction_injection(
headers, {"headers": headers}
)
@with_trace_propagation_style("tracecontext")
def test_with_w3c_trace_headers(self):
headers = {
"traceparent": "00-0000000000000000000000000000007b-0000000000000141-01",
"tracestate": "dd=s:2;t.dm:-0,rojo=00f067aa0ba902b7,congo=t61rcWkgMzE",
}
self.common_tests_with_trace_context_extraction_injection(
headers, {"headers": headers}
)
@with_trace_propagation_style("datadog")
def test_with_extractor_function(self):
def extractor_foo(event, context):
foo = event.get("foo", {})
lowercase_foo = {k.lower(): v for k, v in foo.items()}
trace_id = lowercase_foo.get(TraceHeader.TRACE_ID)
parent_id = lowercase_foo.get(TraceHeader.PARENT_ID)
sampling_priority = lowercase_foo.get(TraceHeader.SAMPLING_PRIORITY)
return trace_id, parent_id, sampling_priority
lambda_ctx = get_mock_context()
ctx, ctx_source, event_source = extract_dd_trace_context(
{
"foo": {
TraceHeader.TRACE_ID: "123",
TraceHeader.PARENT_ID: "321",
TraceHeader.SAMPLING_PRIORITY: "1",
}
},
lambda_ctx,
extractor=extractor_foo,
)
self.assertEqual(ctx_source, "event")
self.assertEqual(
ctx,
Context(
trace_id=123,
span_id=321,
sampling_priority=1,
),
)
self.assertDictEqual(
get_dd_trace_context(),
{
TraceHeader.TRACE_ID: "123",
TraceHeader.PARENT_ID: fake_xray_header_value_parent_decimal,
TraceHeader.SAMPLING_PRIORITY: "1",
},
)
@with_trace_propagation_style("datadog")
def test_graceful_fail_of_extractor_function(self):
def extractor_raiser(event, context):
raise Exception("kreator")
lambda_ctx = get_mock_context()
ctx, ctx_source, event_source = extract_dd_trace_context(
{
"foo": {
TraceHeader.TRACE_ID: "123",
TraceHeader.PARENT_ID: "321",
TraceHeader.SAMPLING_PRIORITY: "1",
}
},
lambda_ctx,
extractor=extractor_raiser,
)
self.assertEqual(ctx_source, "xray")
self.assertEqual(
ctx,
Context(
trace_id=int(fake_xray_header_value_root_decimal),
span_id=int(fake_xray_header_value_parent_decimal),
sampling_priority=2,
),
)
self.assertDictEqual(
get_dd_trace_context(),
{
TraceHeader.TRACE_ID: fake_xray_header_value_root_decimal,
TraceHeader.PARENT_ID: fake_xray_header_value_parent_decimal,
TraceHeader.SAMPLING_PRIORITY: "2",
},
)
@with_trace_propagation_style("datadog")
def test_with_sqs_distributed_datadog_trace_data(self):
headers = {
TraceHeader.TRACE_ID: "123",
TraceHeader.PARENT_ID: "321",
TraceHeader.SAMPLING_PRIORITY: "1",
}
sqs_event = {
"Records": [
{
"messageId": "059f36b4-87a3-44ab-83d2-661975830a7d",
"receiptHandle": "AQEBwJnKyrHigUMZj6rYigCgxlaS3SLy0a...",
"body": "Test message.",
"attributes": {
"ApproximateReceiveCount": "1",
"SentTimestamp": "1545082649183",
"SenderId": "AIDAIENQZJOLO23YVJ4VO",
"ApproximateFirstReceiveTimestamp": "1545082649185",
},
"messageAttributes": {
"_datadog": {
"stringValue": json.dumps(headers),
"dataType": "String",
}
},
"md5OfBody": "e4e68fb7bd0e697a0ae8f1bb342846b3",
"eventSource": "aws:sqs",
"eventSourceARN": "arn:aws:sqs:us-east-2:123456789012:my-queue",
"awsRegion": "us-east-2",
}
]
}
self.common_tests_with_trace_context_extraction_injection(headers, sqs_event)
@with_trace_propagation_style("tracecontext")
def test_with_sqs_distributed_w3c_trace_data(self):
headers = {
"traceparent": "00-0000000000000000000000000000007b-0000000000000141-01",
"tracestate": "dd=s:2;t.dm:-0,rojo=00f067aa0ba902b7,congo=t61rcWkgMzE",
}
sqs_event = {
"Records": [
{
"messageId": "059f36b4-87a3-44ab-83d2-661975830a7d",
"receiptHandle": "AQEBwJnKyrHigUMZj6rYigCgxlaS3SLy0a...",
"body": "Test message.",
"attributes": {
"ApproximateReceiveCount": "1",
"SentTimestamp": "1545082649183",
"SenderId": "AIDAIENQZJOLO23YVJ4VO",
"ApproximateFirstReceiveTimestamp": "1545082649185",
},
"messageAttributes": {
"_datadog": {
"stringValue": json.dumps(headers),
"dataType": "String",
}
},
"md5OfBody": "e4e68fb7bd0e697a0ae8f1bb342846b3",
"eventSource": "aws:sqs",
"eventSourceARN": "arn:aws:sqs:us-east-2:123456789012:my-queue",
"awsRegion": "us-east-2",
}
]
}
self.common_tests_with_trace_context_extraction_injection(headers, sqs_event)
@with_trace_propagation_style("datadog")
def test_with_legacy_client_context_datadog_trace_data(self):
headers = {
TraceHeader.TRACE_ID: "666",
TraceHeader.PARENT_ID: "777",
TraceHeader.SAMPLING_PRIORITY: "1",
}
lambda_ctx = get_mock_context(custom={"_datadog": headers})
self.common_tests_with_trace_context_extraction_injection(
headers, {}, lambda_ctx
)
@with_trace_propagation_style("tracecontext")
def test_with_legacy_client_context_w3c_trace_data(self):
headers = {
"traceparent": "00-0000000000000000000000000000029a-0000000000000309-01",
"tracestate": "dd=s:1;t.dm:-0,rojo=00f067aa0ba902b7,congo=t61rcWkgMzE",
}
lambda_ctx = get_mock_context(custom={"_datadog": headers})
self.common_tests_with_trace_context_extraction_injection(
headers, {}, lambda_ctx
)
@with_trace_propagation_style("datadog")
def test_with_new_client_context_datadog_trace_data(self):
headers = {
TraceHeader.TRACE_ID: "666",
TraceHeader.PARENT_ID: "777",
TraceHeader.SAMPLING_PRIORITY: "1",
}
lambda_ctx = get_mock_context(custom=headers)
self.common_tests_with_trace_context_extraction_injection(
headers, {}, lambda_ctx
)
@with_trace_propagation_style("tracecontext")
def test_with_new_client_context_w3c_trace_data(self):
headers = {
"traceparent": "00-0000000000000000000000000000029a-0000000000000309-01",
"tracestate": "dd=s:1;t.dm:-0,rojo=00f067aa0ba902b7,congo=t61rcWkgMzE",
}
lambda_ctx = get_mock_context(custom=headers)
self.common_tests_with_trace_context_extraction_injection(
headers, {}, lambda_ctx
)
@with_trace_propagation_style("datadog")
def test_with_complete_datadog_trace_headers_with_mixed_casing(self):
lambda_ctx = get_mock_context()
headers = {
"X-Datadog-Trace-Id": "123",
"X-Datadog-Parent-Id": "321",
"X-Datadog-Sampling-Priority": "1",
}
extract_dd_trace_context(
{"headers": headers},
lambda_ctx,
)
extract_headers = {}
context = propagator.extract(headers)
context.span_id = fake_xray_header_value_parent_decimal
propagator.inject(context, extract_headers)
self.assertDictEqual(extract_headers, get_dd_trace_context())
def test_with_complete_datadog_trace_headers_with_trigger_tags(self):
trigger_tags = {
"function_trigger.event_source": "sqs",
"function_trigger.event_source_arn": "arn:aws:sqs:us-east-1:123456789012:MyQueue",
}
create_dd_dummy_metadata_subsegment(
trigger_tags, XraySubsegment.LAMBDA_FUNCTION_TAGS_KEY
)
self.mock_send_segment.assert_called()
self.mock_send_segment.assert_has_calls(
[
call(
XraySubsegment.LAMBDA_FUNCTION_TAGS_KEY,
{
"function_trigger.event_source": "sqs",
"function_trigger.event_source_arn": "arn:aws:sqs:us-east-1:123456789012:MyQueue",
},
),
]
)
@with_trace_propagation_style("datadog")
def test_step_function_trace_data(self):
lambda_ctx = get_mock_context()
sqs_event = {
"Execution": {
"Id": "665c417c-1237-4742-aaca-8b3becbb9e75",
},
"StateMachine": {},
"State": {
"Name": "my-awesome-state",
"EnteredTime": "Mon Nov 13 12:43:33 PST 2023",
},
}
ctx, source, event_source = extract_dd_trace_context(sqs_event, lambda_ctx)
self.assertEqual(source, "event")
expected_context = Context(
trace_id=3675572987363469717,
span_id=6880978411788117524,
sampling_priority=1,
meta={"_dd.p.tid": "e987c84b36b11ab"},
)
self.assertEqual(ctx, expected_context)
self.assertEqual(
get_dd_trace_context(),
{
TraceHeader.TRACE_ID: "3675572987363469717",
TraceHeader.PARENT_ID: "10713633173203262661",
TraceHeader.SAMPLING_PRIORITY: "1",
"x-datadog-tags": "_dd.p.tid=e987c84b36b11ab",
},
)
create_dd_dummy_metadata_subsegment(ctx, XraySubsegment.TRACE_KEY)
self.mock_send_segment.assert_called_with(
XraySubsegment.TRACE_KEY,
expected_context,
)
def test_is_legacy_lambda_step_function(self):
sf_event = {
"Payload": {
"Execution": {
"Id": "665c417c-1237-4742-aaca-8b3becbb9e75",
},
"StateMachine": {},
"State": {
"Name": "my-awesome-state",
"EnteredTime": "Mon Nov 13 12:43:33 PST 2023",
},
}
}
self.assertTrue(is_legacy_lambda_step_function(sf_event))
sf_event = {
"Execution": {
"Id": "665c417c-1237-4742-aaca-8b3becbb9e75",
},
"StateMachine": {},
"State": {
"Name": "my-awesome-state",
"EnteredTime": "Mon Nov 13 12:43:33 PST 2023",
},
}
self.assertFalse(is_legacy_lambda_step_function(sf_event))
other_event = ["foo", "bar"]
self.assertFalse(is_legacy_lambda_step_function(other_event))
class TestXRayContextConversion(unittest.TestCase):
def test_convert_xray_trace_id(self):
self.assertEqual(
_convert_xray_trace_id("00000000e1be46a994272793"), 7043144561403045779
)
self.assertEqual(
_convert_xray_trace_id("bd862e3fe1be46a994272793"), 7043144561403045779
)
self.assertEqual(
_convert_xray_trace_id("ffffffffffffffffffffffff"),
9223372036854775807, # 0x7FFFFFFFFFFFFFFF
)
def test_convert_xray_entity_id(self):
self.assertEqual(
_convert_xray_entity_id("53995c3f42cd8ad8"), 6023947403358210776
)
self.assertEqual(
_convert_xray_entity_id("1000000000000000"), 1152921504606846976
)
self.assertEqual(
_convert_xray_entity_id("ffffffffffffffff"), 18446744073709551615
)
def test_convert_xray_sampling(self):
self.assertEqual(_convert_xray_sampling(True), SamplingPriority.USER_KEEP)
self.assertEqual(_convert_xray_sampling(False), SamplingPriority.USER_REJECT)
class TestLogsInjection(unittest.TestCase):
def setUp(self):
patcher = patch("datadog_lambda.tracing.get_dd_trace_context_obj")
self.mock_get_dd_trace_context = patcher.start()
self.mock_get_dd_trace_context.return_value = Context(
trace_id=int(fake_xray_header_value_root_decimal),
span_id=int(fake_xray_header_value_parent_decimal),
sampling_priority=1,
)
self.addCleanup(patcher.stop)
patcher = patch("datadog_lambda.tracing.is_lambda_context")
self.mock_is_lambda_context = patcher.start()
self.mock_is_lambda_context.return_value = True
self.addCleanup(patcher.stop)
def test_set_correlation_ids(self):
set_correlation_ids()
span = tracer.current_span()
self.assertEqual(span.trace_id, int(fake_xray_header_value_root_decimal))
self.assertEqual(span.parent_id, int(fake_xray_header_value_parent_decimal))
span.finish()
def test_set_correlation_ids_handle_empty_trace_context(self):
# neither x-ray or ddtrace is used. no tracing context at all.
self.mock_get_dd_trace_context.return_value = Context()
# no exception thrown
set_correlation_ids()
span = tracer.current_span()
self.assertIsNone(span)
class TestFunctionSpanTags(unittest.TestCase):
def test_function(self):
ctx = get_mock_context()
span = create_function_execution_span(
context=ctx,
function_name="",
is_cold_start=False,
is_proactive_init=False,
trace_context_source={"source": ""},
merge_xray_traces=False,
trigger_tags={},
span_pointers=None,
)
self.assertEqual(span.get_tag("function_arn"), function_arn)
self.assertEqual(span.get_tag("function_version"), "$LATEST")
self.assertEqual(span.get_tag("resource_names"), "Function")
self.assertEqual(span.get_tag("functionname"), "function")
self.assertEqual(span._links, [])
def test_function_with_version(self):
function_version = "1"
ctx = get_mock_context(
invoked_function_arn=function_arn + ":" + function_version
)
span = create_function_execution_span(
context=ctx,
function_name="",
is_cold_start=False,
is_proactive_init=False,
trace_context_source={"source": ""},
merge_xray_traces=False,
trigger_tags={},
)
self.assertEqual(span.get_tag("function_arn"), function_arn)
self.assertEqual(span.get_tag("function_version"), function_version)
self.assertEqual(span.get_tag("resource_names"), "Function")
self.assertEqual(span.get_tag("functionname"), "function")
def test_function_with_alias(self):
function_alias = "alias"
ctx = get_mock_context(invoked_function_arn=function_arn + ":" + function_alias)
span = create_function_execution_span(
context=ctx,
function_name="",
is_cold_start=False,
is_proactive_init=False,
trace_context_source={"source": ""},
merge_xray_traces=False,
trigger_tags={},
)
self.assertEqual(span.get_tag("function_arn"), function_arn)
self.assertEqual(span.get_tag("function_version"), function_alias)
self.assertEqual(span.get_tag("resource_names"), "Function")
self.assertEqual(span.get_tag("functionname"), "function")
def test_function_with_trigger_tags(self):
ctx = get_mock_context()
span = create_function_execution_span(
context=ctx,
function_name="",
is_cold_start=False,
is_proactive_init=False,
trace_context_source={"source": ""},
merge_xray_traces=False,
trigger_tags={"function_trigger.event_source": "cloudwatch-logs"},
)
self.assertEqual(span.get_tag("function_arn"), function_arn)
self.assertEqual(span.get_tag("resource_names"), "Function")
self.assertEqual(span.get_tag("functionname"), "function")
self.assertEqual(
span.get_tag("function_trigger.event_source"), "cloudwatch-logs"
)
def test_function_with_span_pointers(self):
ctx = get_mock_context()
span = create_function_execution_span(
context=ctx,
function_name="",
is_cold_start=False,
is_proactive_init=False,
trace_context_source={"source": ""},
merge_xray_traces=False,
trigger_tags={},
span_pointers=[
_SpanPointerDescription(
pointer_kind="some.kind",
pointer_direction=_SpanPointerDirection.UPSTREAM,
pointer_hash="some.hash",
extra_attributes={},
),
_SpanPointerDescription(
pointer_kind="other.kind",
pointer_direction=_SpanPointerDirection.DOWNSTREAM,
pointer_hash="other.hash",
extra_attributes={"extra": "stuff"},
),
],
)
self.assertEqual(
span._links,
[
_SpanPointer(
pointer_kind="some.kind",
pointer_direction=_SpanPointerDirection.UPSTREAM,
pointer_hash="some.hash",
extra_attributes={},
),
_SpanPointer(
pointer_kind="other.kind",
pointer_direction=_SpanPointerDirection.DOWNSTREAM,
pointer_hash="other.hash",
extra_attributes={"extra": "stuff"},
),
],
)
class TestSetTraceRootSpan(unittest.TestCase):
def setUp(self):
global dd_tracing_enabled
dd_tracing_enabled = False
os.environ["_X_AMZN_TRACE_ID"] = fake_xray_header_value
patcher = patch("datadog_lambda.tracing.send_segment")
self.mock_send_segment = patcher.start()
self.addCleanup(patcher.stop)
patcher = patch("datadog_lambda.tracing.is_lambda_context")
self.mock_is_lambda_context = patcher.start()
self.mock_is_lambda_context.return_value = True
self.addCleanup(patcher.stop)
patcher = patch("datadog_lambda.tracing.tracer.context_provider.activate")
self.mock_activate = patcher.start()
self.mock_activate.return_value = True
self.addCleanup(patcher.stop)
def tearDown(self):
global dd_tracing_enabled
dd_tracing_enabled = False
del os.environ["_X_AMZN_TRACE_ID"]
def test_mixed_parent_context_when_merging(self):
# When trace merging is enabled, and dd_trace headers are present,
# use the dd-trace trace-id and the x-ray parent-id
# This allows parenting relationships like dd-trace -> x-ray -> dd-trace
lambda_ctx = get_mock_context()
ctx, source, event_type = extract_dd_trace_context(
{
"headers": {
TraceHeader.TRACE_ID: "123",
TraceHeader.PARENT_ID: "321",
TraceHeader.SAMPLING_PRIORITY: "1",
}
},
lambda_ctx,
)
set_dd_trace_py_root(
source, True
) # When merging is off, always use dd-trace-context
expected_context = Context(
trace_id=123, # Trace Id from incomming context
span_id=int(fake_xray_header_value_parent_decimal), # Parent Id from x-ray
sampling_priority=1, # Sampling priority from incomming context
)
self.mock_activate.assert_called()
self.mock_activate.assert_has_calls([call(expected_context)])
def test_set_dd_trace_py_root_no_span_id(self):
os.environ["_X_AMZN_TRACE_ID"] = "Root=1-5e272390-8c398be037738dc042009320"
lambda_ctx = get_mock_context()
ctx, source, event_type = extract_dd_trace_context(
{
"headers": {
TraceHeader.TRACE_ID: "123",
TraceHeader.PARENT_ID: "321",
TraceHeader.SAMPLING_PRIORITY: "1",
}
},
lambda_ctx,
)
set_dd_trace_py_root(TraceContextSource.EVENT, True)
expected_context = Context(
trace_id=123, # Trace Id from incomming context
span_id=321, # Span Id from incoming context
sampling_priority=1, # Sampling priority from incomming context
)
self.mock_activate.assert_called()
self.mock_activate.assert_has_calls([call(expected_context)])
class TestServiceMapping(unittest.TestCase):
def setUp(self):
self.service_mapping = {}
def get_service_mapping(self):
return global_service_mapping
def set_service_mapping(self, new_service_mapping):
global_service_mapping.clear()
global_service_mapping.update(new_service_mapping)
def test_create_service_mapping_invalid_input(self):
# Test case where the input is a string without a colon to split on
val = "api1"
self.assertEqual(create_service_mapping(val), {})
# Test case where the input is an empty string
val = ""
self.assertEqual(create_service_mapping(val), {})
# Test case where the key and value are identical
val = "api1:api1"
self.assertEqual(create_service_mapping(val), {})
# Test case where the key or value is missing
val = ":api1"
self.assertEqual(create_service_mapping(val), {})
val = "api1:"
self.assertEqual(create_service_mapping(val), {})
def test_create_service_mapping(self):
val = "api1:service1,api2:service2"
expected_output = {"api1": "service1", "api2": "service2"}
self.assertEqual(create_service_mapping(val), expected_output)
def test_get_service_mapping(self):
os.environ["DD_SERVICE_MAPPING"] = "api1:service1,api2:service2"
expected_output = {"api1": "service1", "api2": "service2"}
self.set_service_mapping(
create_service_mapping(os.environ["DD_SERVICE_MAPPING"])
)
self.assertEqual(self.get_service_mapping(), expected_output)
def test_set_service_mapping(self):
new_service_mapping = {"api3": "service3", "api4": "service4"}
self.set_service_mapping(new_service_mapping)
self.assertEqual(self.get_service_mapping(), new_service_mapping)
def test_determine_service_name(self):
# Prepare the environment
os.environ["DD_SERVICE_MAPPING"] = "api1:service1,api2:service2"
self.set_service_mapping(
create_service_mapping(os.environ["DD_SERVICE_MAPPING"])
)
# Case where specific key is in the service mapping
specific_key = "api1"
self.assertEqual(
determine_service_name(