diff --git a/datadog_lambda/tracing.py b/datadog_lambda/tracing.py index 43137622..58a45af3 100644 --- a/datadog_lambda/tracing.py +++ b/datadog_lambda/tracing.py @@ -66,6 +66,8 @@ telemetry_writer.enable() +is_lambda_context = os.environ.get(XrayDaemon.FUNCTION_NAME_HEADER_NAME) != "" + propagator = HTTPPropagator() DD_TRACE_JAVA_TRACE_ID_PADDING = "00000000" @@ -93,7 +95,7 @@ def _convert_xray_sampling(xray_sampled): def _get_xray_trace_context(): - if not is_lambda_context(): + if not is_lambda_context: return None xray_trace_entity = parse_xray_header( @@ -109,11 +111,7 @@ def _get_xray_trace_context(): logger.debug( "Converted trace context %s from X-Ray segment %s", trace_context, - ( - xray_trace_entity["trace_id"], - xray_trace_entity["parent_id"], - xray_trace_entity["sampled"], - ), + xray_trace_entity, ) return trace_context @@ -124,7 +122,9 @@ def _get_dd_trace_py_context(): return None logger.debug( - "found dd trace context: %s", (span.context.trace_id, span.context.span_id) + "found dd trace context: trace_id=%s span_id=%s", + span.context.trace_id, + span.context.span_id, ) return span.context @@ -235,37 +235,31 @@ def extract_context_from_sqs_or_sns_event_or_context(event, lambda_context): # logic to deal with SNS => SQS event if "body" in first_record: - body_str = first_record.get("body", {}) + body_str = first_record.get("body") try: body = json.loads(body_str) if body.get("Type", "") == "Notification" and "TopicArn" in body: logger.debug("Found SNS message inside SQS event") first_record = get_first_record(create_sns_event(body)) except Exception: - first_record = event.get("Records")[0] pass - msg_attributes = first_record.get( - "messageAttributes", - first_record.get("Sns", {}).get("MessageAttributes", {}), - ) - dd_payload = msg_attributes.get("_datadog", {}) + msg_attributes = first_record.get("messageAttributes") + if msg_attributes is None: + sns_record = first_record.get("Sns") or {} + msg_attributes = sns_record.get("MessageAttributes") or {} + dd_payload = msg_attributes.get("_datadog") if dd_payload: # SQS uses dataType and binaryValue/stringValue # SNS uses Type and Value dd_json_data = None - dd_json_data_type = dd_payload.get("Type", dd_payload.get("dataType", "")) + dd_json_data_type = dd_payload.get("Type") or dd_payload.get("dataType") if dd_json_data_type == "Binary": - dd_json_data = dd_payload.get( - "binaryValue", - dd_payload.get("Value", r"{}"), - ) - dd_json_data = base64.b64decode(dd_json_data) + dd_json_data = dd_payload.get("binaryValue") or dd_payload.get("Value") + if dd_json_data: + dd_json_data = base64.b64decode(dd_json_data) elif dd_json_data_type == "String": - dd_json_data = dd_payload.get( - "stringValue", - dd_payload.get("Value", r"{}"), - ) + dd_json_data = dd_payload.get("stringValue") or dd_payload.get("Value") else: logger.debug( "Datadog Lambda Python only supports extracting trace" @@ -278,23 +272,25 @@ def extract_context_from_sqs_or_sns_event_or_context(event, lambda_context): else: # Handle case where trace context is injected into attributes.AWSTraceHeader # example: Root=1-654321ab-000000001234567890abcdef;Parent=0123456789abcdef;Sampled=1 - x_ray_header = first_record.get("attributes", {}).get("AWSTraceHeader") - if x_ray_header: - x_ray_context = parse_xray_header(x_ray_header) - trace_id_parts = x_ray_context.get("trace_id", "").split("-") - if len(trace_id_parts) > 2 and trace_id_parts[2].startswith( - DD_TRACE_JAVA_TRACE_ID_PADDING - ): - # If it starts with eight 0's padding, - # then this AWSTraceHeader contains Datadog injected trace context - logger.debug( - "Found dd-trace injected trace context from AWSTraceHeader" - ) - return Context( - trace_id=int(trace_id_parts[2][8:], 16), - span_id=int(int(x_ray_context["parent_id"], 16)), - sampling_priority=float(x_ray_context["sampled"]), - ) + attrs = first_record.get("attributes") + if attrs: + x_ray_header = attrs.get("AWSTraceHeader") + if x_ray_header: + x_ray_context = parse_xray_header(x_ray_header) + trace_id_parts = x_ray_context.get("trace_id", "").split("-") + if len(trace_id_parts) > 2 and trace_id_parts[2].startswith( + DD_TRACE_JAVA_TRACE_ID_PADDING + ): + # If it starts with eight 0's padding, + # then this AWSTraceHeader contains Datadog injected trace context + logger.debug( + "Found dd-trace injected trace context from AWSTraceHeader" + ) + return Context( + trace_id=int(trace_id_parts[2][8:], 16), + span_id=int(x_ray_context["parent_id"], 16), + sampling_priority=float(x_ray_context["sampled"]), + ) return extract_context_from_lambda_context(lambda_context) except Exception as e: logger.debug("The trace extractor returned with error %s", e) @@ -339,21 +335,22 @@ def extract_context_from_kinesis_event(event, lambda_context): """ try: record = get_first_record(event) - data = record.get("kinesis", {}).get("data", None) + kinesis = record.get("kinesis") + if not kinesis: + return extract_context_from_lambda_context(lambda_context) + data = kinesis.get("data") if data: b64_bytes = data.encode("ascii") str_bytes = base64.b64decode(b64_bytes) data_str = str_bytes.decode("ascii") data_obj = json.loads(data_str) dd_ctx = data_obj.get("_datadog") - - if not dd_ctx: - return extract_context_from_lambda_context(lambda_context) - - return propagator.extract(dd_ctx) + if dd_ctx: + return propagator.extract(dd_ctx) except Exception as e: logger.debug("The trace extractor returned with error %s", e) - return extract_context_from_lambda_context(lambda_context) + + return extract_context_from_lambda_context(lambda_context) def _deterministic_md5_hash(s: str) -> int: @@ -380,7 +377,7 @@ def extract_context_from_step_functions(event, lambda_context): state_entered_time = event.get("State").get("EnteredTime") trace_id = _deterministic_md5_hash(execution_id) parent_id = _deterministic_md5_hash( - execution_id + "#" + state_name + "#" + state_entered_time + f"{execution_id}#{state_name}#{state_entered_time}" ) sampling_priority = SamplingPriority.AUTO_KEEP return Context( @@ -396,11 +393,7 @@ def extract_context_custom_extractor(extractor, event, lambda_context): Extract Datadog trace context using a custom trace extractor function """ try: - ( - trace_id, - parent_id, - sampling_priority, - ) = extractor(event, lambda_context) + trace_id, parent_id, sampling_priority = extractor(event, lambda_context) return Context( trace_id=int(trace_id), span_id=int(parent_id), @@ -426,15 +419,20 @@ def is_authorizer_response(response) -> bool: def get_injected_authorizer_data(event, is_http_api) -> dict: try: - authorizer_headers = event.get("requestContext", {}).get("authorizer") + req_ctx = event.get("requestContext") + if not req_ctx: + return None + authorizer_headers = req_ctx.get("authorizer") if not authorizer_headers: return None - dd_data_raw = ( - authorizer_headers.get("lambda", {}).get("_datadog") - if is_http_api - else authorizer_headers.get("_datadog") - ) + if is_http_api: + lambda_hdr = authorizer_headers.get("lambda") + if not lambda_hdr: + return None + dd_data_raw = lambda_hdr.get("_datadog") + else: + dd_data_raw = authorizer_headers.get("_datadog") if not dd_data_raw: return None @@ -448,16 +446,19 @@ def get_injected_authorizer_data(event, is_http_api) -> dict: # that case, we use the injected Authorizing_Request_Id to tell if it's cached. But token # authorizers don't pass on the requestId. The Authorizing_Request_Id can't work for all # cases neither. As a result, we combine both methods as shown below. - if authorizer_headers.get("integrationLatency", 0) > 0 or event.get( - "requestContext", {} - ).get("requestId") == injected_data.get(Headers.Authorizing_Request_Id): + if authorizer_headers.get("integrationLatency", 0) > 0: return injected_data - else: + req_ctx = event.get("requestContext") + if not req_ctx: return None + if req_ctx.get("requestId") == injected_data.get( + Headers.Authorizing_Request_Id + ): + return injected_data + return None except Exception as e: logger.debug("Failed to check if invocated by an authorizer. error %s", e) - return None def extract_dd_trace_context( @@ -569,7 +570,7 @@ def set_correlation_ids(): TODO: Remove me when Datadog tracer is natively supported in Lambda. """ - if not is_lambda_context(): + if not is_lambda_context: logger.debug("set_correlation_ids is only supported in LambdaContext") return if dd_tracing_enabled: @@ -613,14 +614,6 @@ def inject_correlation_ids(): logger.debug("logs injection configured") -def is_lambda_context(): - """ - Return True if the X-Ray context is `LambdaContext`, rather than the - regular `Context` (e.g., when testing lambda functions locally). - """ - return os.environ.get(XrayDaemon.FUNCTION_NAME_HEADER_NAME, "") != "" - - def set_dd_trace_py_root(trace_context_source, merge_xray_traces): if trace_context_source == TraceContextSource.EVENT or merge_xray_traces: context = Context( @@ -635,8 +628,9 @@ def set_dd_trace_py_root(trace_context_source, merge_xray_traces): tracer.context_provider.activate(context) logger.debug( - "Set dd trace root context to: %s", - (context.trace_id, context.span_id), + "Set dd trace root context to: trace_id=%s span_id=%s", + context.trace_id, + context.span_id, ) @@ -697,9 +691,7 @@ def create_inferred_span( event_source.to_string(), e, ) - return None logger.debug("Unable to infer a span: unknown event type") - return None def create_service_mapping(val): @@ -721,19 +713,21 @@ def determine_service_name(service_mapping, specific_key, generic_key, default_v return service_name -service_mapping = {} # Initialization code service_mapping_str = os.getenv("DD_SERVICE_MAPPING", "") service_mapping = create_service_mapping(service_mapping_str) +_dd_origin = {"_dd.origin": "lambda"} + def create_inferred_span_from_lambda_function_url_event(event, context): request_context = event.get("requestContext") api_id = request_context.get("apiId") domain = request_context.get("domainName") service_name = determine_service_name(service_mapping, api_id, "lambda_url", domain) - method = request_context.get("http", {}).get("method") - path = request_context.get("http", {}).get("path") + http = request_context.get("http") + method = http.get("method") if http else None + path = http.get("path") if http else None resource = f"{method} {path}" tags = { "operation_name": "aws.lambda.url", @@ -744,16 +738,11 @@ def create_inferred_span_from_lambda_function_url_event(event, context): "request_id": context.aws_request_id, } request_time_epoch = request_context.get("timeEpoch") - args = { - "service": service_name, - "resource": resource, - "span_type": "http", - } - tracer.set_tags( - {"_dd.origin": "lambda"} - ) # function urls don't count as lambda_inferred, + tracer.set_tags(_dd_origin) # function urls don't count as lambda_inferred, # because they're in the same service as the inferring lambda function - span = tracer.trace("aws.lambda.url", **args) + span = tracer.trace( + "aws.lambda.url", service=service_name, resource=resource, span_type="http" + ) InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="sync") if span: span.set_tags(tags) @@ -762,7 +751,10 @@ def create_inferred_span_from_lambda_function_url_event(event, context): def is_api_gateway_invocation_async(event): - return event.get("headers", {}).get("X-Amz-Invocation-Type") == "Event" + hdrs = event.get("headers") + if not hdrs: + return False + return hdrs.get("X-Amz-Invocation-Type") == "Event" def insert_upstream_authorizer_span( @@ -862,7 +854,7 @@ def create_inferred_span_from_api_gateway_websocket_event( "resource": endpoint, "span_type": "web", } - tracer.set_tags({"_dd.origin": "lambda"}) + tracer.set_tags(_dd_origin) upstream_authorizer_span = None finish_time_ns = None if decode_authorizer_context: @@ -916,7 +908,7 @@ def create_inferred_span_from_api_gateway_event( "resource": resource, "span_type": "http", } - tracer.set_tags({"_dd.origin": "lambda"}) + tracer.set_tags(_dd_origin) upstream_authorizer_span = None finish_time_ns = None if decode_authorizer_context: @@ -956,7 +948,8 @@ def create_inferred_span_from_http_api_event( service_name = determine_service_name( service_mapping, api_id, "lambda_api_gateway", domain ) - method = request_context.get("http", {}).get("method") + http = request_context.get("http") or {} + method = http.get("method") path = event.get("rawPath") resource_path = _get_resource_path(event, request_context) resource = f"{method} {resource_path}" @@ -964,10 +957,10 @@ def create_inferred_span_from_http_api_event( "operation_name": "aws.httpapi", "endpoint": path, "http.url": domain + path, - "http.method": request_context.get("http", {}).get("method"), - "http.protocol": request_context.get("http", {}).get("protocol"), - "http.source_ip": request_context.get("http", {}).get("sourceIp"), - "http.user_agent": request_context.get("http", {}).get("userAgent"), + "http.method": http.get("method"), + "http.protocol": http.get("protocol"), + "http.source_ip": http.get("sourceIp"), + "http.user_agent": http.get("userAgent"), "resource_names": resource, "request_id": context.aws_request_id, "apiid": api_id, @@ -979,12 +972,7 @@ def create_inferred_span_from_http_api_event( InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async") else: InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="sync") - args = { - "service": service_name, - "resource": resource, - "span_type": "http", - } - tracer.set_tags({"_dd.origin": "lambda"}) + tracer.set_tags(_dd_origin) inferred_span_start_ns = request_time_epoch_ms * 1e6 if decode_authorizer_context: injected_authorizer_data = get_injected_authorizer_data(event, True) @@ -992,7 +980,9 @@ def create_inferred_span_from_http_api_event( inferred_span_start_ns = injected_authorizer_data.get( Headers.Parent_Span_Finish_Time ) - span = tracer.trace("aws.httpapi", **args) + span = tracer.trace( + "aws.httpapi", service=service_name, resource=resource, span_type="http" + ) if span: span.set_tags(tags) span.start_ns = int(inferred_span_start_ns) @@ -1008,21 +998,17 @@ def create_inferred_span_from_sqs_event(event, context): service_name = determine_service_name( service_mapping, queue_name, "lambda_sqs", "sqs" ) + attrs = event_record.get("attributes") or {} tags = { "operation_name": "aws.sqs", "resource_names": queue_name, "queuename": queue_name, "event_source_arn": event_source_arn, "receipt_handle": event_record.get("receiptHandle"), - "sender_id": event_record.get("attributes", {}).get("SenderId"), + "sender_id": attrs.get("SenderId"), } InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async") - request_time_epoch = event_record.get("attributes", {}).get("SentTimestamp") - args = { - "service": service_name, - "resource": queue_name, - "span_type": "web", - } + request_time_epoch = attrs.get("SentTimestamp") start_time = int(request_time_epoch) / 1000 upstream_span = None @@ -1058,8 +1044,10 @@ def create_inferred_span_from_sqs_event(event, context): # trace context needs to be set again as it is reset # when sns_span.finish executes tracer.context_provider.activate(trace_ctx) - tracer.set_tags({"_dd.origin": "lambda"}) - span = tracer.trace("aws.sqs", **args) + tracer.set_tags(_dd_origin) + span = tracer.trace( + "aws.sqs", service=service_name, resource=queue_name, span_type="web" + ) if span: span.set_tags(tags) span.start = start_time @@ -1071,8 +1059,8 @@ def create_inferred_span_from_sqs_event(event, context): def create_inferred_span_from_sns_event(event, context): event_record = get_first_record(event) - sns_message = event_record.get("Sns") - topic_arn = event_record.get("Sns", {}).get("TopicArn") + sns_message = event_record.get("Sns") or {} + topic_arn = sns_message.get("TopicArn") topic_name = topic_arn.split(":")[-1] service_name = determine_service_name( service_mapping, topic_name, "lambda_sns", "sns" @@ -1087,21 +1075,19 @@ def create_inferred_span_from_sns_event(event, context): } # Subject not available in SNS => SQS scenario - if "Subject" in sns_message and sns_message["Subject"]: - tags["subject"] = sns_message.get("Subject") + subject = sns_message.get("Subject") + if subject: + tags["subject"] = subject InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async") sns_dt_format = "%Y-%m-%dT%H:%M:%S.%fZ" - timestamp = event_record.get("Sns", {}).get("Timestamp") + timestamp = sns_message.get("Timestamp") dt = datetime.strptime(timestamp, sns_dt_format) - args = { - "service": service_name, - "resource": topic_name, - "span_type": "web", - } - tracer.set_tags({"_dd.origin": "lambda"}) - span = tracer.trace("aws.sns", **args) + tracer.set_tags(_dd_origin) + span = tracer.trace( + "aws.sns", service=service_name, resource=topic_name, span_type="web" + ) if span: span.set_tags(tags) span.start = dt.replace(tzinfo=timezone.utc).timestamp() @@ -1117,6 +1103,7 @@ def create_inferred_span_from_kinesis_event(event, context): service_name = determine_service_name( service_mapping, stream_name, "lambda_kinesis", "kinesis" ) + kinesis = event_record.get("kinesis") or {} tags = { "operation_name": "aws.kinesis", "resource_names": stream_name, @@ -1126,20 +1113,15 @@ def create_inferred_span_from_kinesis_event(event, context): "event_id": event_id, "event_name": event_record.get("eventName"), "event_version": event_record.get("eventVersion"), - "partition_key": event_record.get("kinesis", {}).get("partitionKey"), + "partition_key": kinesis.get("partitionKey"), } InferredSpanInfo.set_tags(tags, tag_source="self", synchronicity="async") - request_time_epoch = event_record.get("kinesis", {}).get( - "approximateArrivalTimestamp" - ) + request_time_epoch = kinesis.get("approximateArrivalTimestamp") - args = { - "service": service_name, - "resource": stream_name, - "span_type": "web", - } - tracer.set_tags({"_dd.origin": "lambda"}) - span = tracer.trace("aws.kinesis", **args) + tracer.set_tags(_dd_origin) + span = tracer.trace( + "aws.kinesis", service=service_name, resource=stream_name, span_type="web" + ) if span: span.set_tags(tags) span.start = request_time_epoch @@ -1153,7 +1135,7 @@ def create_inferred_span_from_dynamodb_event(event, context): service_name = determine_service_name( service_mapping, table_name, "lambda_dynamodb", "dynamodb" ) - dynamodb_message = event_record.get("dynamodb") + dynamodb_message = event_record.get("dynamodb") or {} tags = { "operation_name": "aws.dynamodb", "resource_names": table_name, @@ -1166,16 +1148,11 @@ def create_inferred_span_from_dynamodb_event(event, context): "size_bytes": str(dynamodb_message.get("SizeBytes")), } InferredSpanInfo.set_tags(tags, synchronicity="async", tag_source="self") - request_time_epoch = event_record.get("dynamodb", {}).get( - "ApproximateCreationDateTime" + request_time_epoch = dynamodb_message.get("ApproximateCreationDateTime") + tracer.set_tags(_dd_origin) + span = tracer.trace( + "aws.dynamodb", service=service_name, resource=table_name, span_type="web" ) - args = { - "service": service_name, - "resource": table_name, - "span_type": "web", - } - tracer.set_tags({"_dd.origin": "lambda"}) - span = tracer.trace("aws.dynamodb", **args) if span: span.set_tags(tags) @@ -1185,7 +1162,10 @@ def create_inferred_span_from_dynamodb_event(event, context): def create_inferred_span_from_s3_event(event, context): event_record = get_first_record(event) - bucket_name = event_record.get("s3", {}).get("bucket", {}).get("name") + s3 = event_record.get("s3") or {} + bucket = s3.get("bucket") or {} + obj = s3.get("object") or {} + bucket_name = bucket.get("name") service_name = determine_service_name( service_mapping, bucket_name, "lambda_s3", "s3" ) @@ -1194,23 +1174,20 @@ def create_inferred_span_from_s3_event(event, context): "resource_names": bucket_name, "event_name": event_record.get("eventName"), "bucketname": bucket_name, - "bucket_arn": event_record.get("s3", {}).get("bucket", {}).get("arn"), - "object_key": event_record.get("s3", {}).get("object", {}).get("key"), - "object_size": str(event_record.get("s3", {}).get("object", {}).get("size")), - "object_etag": event_record.get("s3", {}).get("object", {}).get("eTag"), + "bucket_arn": bucket.get("arn"), + "object_key": obj.get("key"), + "object_size": str(obj.get("size")), + "object_etag": obj.get("eTag"), } InferredSpanInfo.set_tags(tags, synchronicity="async", tag_source="self") dt_format = "%Y-%m-%dT%H:%M:%S.%fZ" timestamp = event_record.get("eventTime") dt = datetime.strptime(timestamp, dt_format) - args = { - "service": service_name, - "resource": bucket_name, - "span_type": "web", - } - tracer.set_tags({"_dd.origin": "lambda"}) - span = tracer.trace("aws.s3", **args) + tracer.set_tags(_dd_origin) + span = tracer.trace( + "aws.s3", service=service_name, resource=bucket_name, span_type="web" + ) if span: span.set_tags(tags) span.start = dt.replace(tzinfo=timezone.utc).timestamp() @@ -1236,13 +1213,10 @@ def create_inferred_span_from_eventbridge_event(event, context): timestamp = event.get("time") dt = datetime.strptime(timestamp, dt_format) - args = { - "service": service_name, - "resource": source, - "span_type": "web", - } - tracer.set_tags({"_dd.origin": "lambda"}) - span = tracer.trace("aws.eventbridge", **args) + tracer.set_tags(_dd_origin) + span = tracer.trace( + "aws.eventbridge", service=service_name, resource=source, span_type="web" + ) if span: span.set_tags(tags) span.start = dt.replace(tzinfo=timezone.utc).timestamp() @@ -1259,7 +1233,7 @@ def create_function_execution_span( trigger_tags, parent_span=None, ): - tags = {} + tags = None if context: function_arn = (context.invoked_function_arn or "").lower() tk = function_arn.split(":") @@ -1278,18 +1252,19 @@ def create_function_execution_span( "dd_trace": ddtrace_version, "span.name": "aws.lambda", } + tags = tags or {} if is_proactive_init: tags["proactive_initialization"] = str(is_proactive_init).lower() if trace_context_source == TraceContextSource.XRAY and merge_xray_traces: tags["_dd.parent_source"] = trace_context_source tags.update(trigger_tags) - args = { - "service": "aws.lambda", - "resource": function_name, - "span_type": "serverless", - } - tracer.set_tags({"_dd.origin": "lambda"}) - span = tracer.trace("aws.lambda", **args) + tracer.set_tags(_dd_origin) + span = tracer.trace( + "aws.lambda", + service="aws.lambda", + resource=function_name, + span_type="serverless", + ) if span: span.set_tags(tags) if parent_span: diff --git a/tests/integration/snapshots/logs/async-metrics_python310.log b/tests/integration/snapshots/logs/async-metrics_python310.log index e2101885..bec8aa8a 100644 --- a/tests/integration/snapshots/logs/async-metrics_python310.log +++ b/tests/integration/snapshots/logs/async-metrics_python310.log @@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/async-metrics_python311.log b/tests/integration/snapshots/logs/async-metrics_python311.log index 8d5419c1..1e6a384d 100644 --- a/tests/integration/snapshots/logs/async-metrics_python311.log +++ b/tests/integration/snapshots/logs/async-metrics_python311.log @@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -708,6 +708,7 @@ START } HTTP GET https://datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX +END Duration: XXXX ms Memory Used: XXXX MB { "traces": [ [ @@ -736,16 +737,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -834,7 +835,6 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " ] ] } -END Duration: XXXX ms Memory Used: XXXX MB START { "m": "aws.lambda.enhanced.invocations", @@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/async-metrics_python312.log b/tests/integration/snapshots/logs/async-metrics_python312.log index 0132e54e..fdf90e98 100644 --- a/tests/integration/snapshots/logs/async-metrics_python312.log +++ b/tests/integration/snapshots/logs/async-metrics_python312.log @@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/async-metrics_python38.log b/tests/integration/snapshots/logs/async-metrics_python38.log index e5b755ac..50a9f700 100644 --- a/tests/integration/snapshots/logs/async-metrics_python38.log +++ b/tests/integration/snapshots/logs/async-metrics_python38.log @@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1063,16 +1063,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/async-metrics_python39.log b/tests/integration/snapshots/logs/async-metrics_python39.log index d02e097d..d411dd1e 100644 --- a/tests/integration/snapshots/logs/async-metrics_python39.log +++ b/tests/integration/snapshots/logs/async-metrics_python39.log @@ -67,11 +67,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -237,16 +237,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -397,11 +397,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -566,16 +566,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -736,16 +736,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -899,16 +899,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1037,6 +1037,7 @@ START } HTTP GET https://datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "User-Agent:python-requests/X.X.X", "traceparent:XXX", "tracestate:XXX +END Duration: XXXX ms Memory Used: XXXX MB { "traces": [ [ @@ -1063,16 +1064,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1161,7 +1162,6 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " ] ] } -END Duration: XXXX ms Memory Used: XXXX MB START { "m": "aws.lambda.enhanced.invocations", @@ -1226,16 +1226,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1395,16 +1395,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/sync-metrics_python310.log b/tests/integration/snapshots/logs/sync-metrics_python310.log index e97b0cb2..97a0cf4d 100644 --- a/tests/integration/snapshots/logs/sync-metrics_python310.log +++ b/tests/integration/snapshots/logs/sync-metrics_python310.log @@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/sync-metrics_python311.log b/tests/integration/snapshots/logs/sync-metrics_python311.log index 84161ca2..bfb38df9 100644 --- a/tests/integration/snapshots/logs/sync-metrics_python311.log +++ b/tests/integration/snapshots/logs/sync-metrics_python311.log @@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1073,6 +1073,7 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " ] } HTTP POST https://api.datadoghq.com/api/v1/distribution_points Headers: ["Accept-Encoding:gzip, deflate", "Accept:*/*", "Connection:keep-alive", "Content-Encoding:deflate", "Content-Length:XXXX", "Content-Type:application/json", "DD-API-KEY:XXXX", "User-Agent:datadogpy/XX (python XX; os linux; arch XXXX)", "traceparent:XXX", "tracestate:XXX +END Duration: XXXX ms Memory Used: XXXX MB { "traces": [ [ @@ -1111,7 +1112,6 @@ HTTP POST https://api.datadoghq.com/api/v1/distribution_points Headers: ["Accept ] ] } -END Duration: XXXX ms Memory Used: XXXX MB START { "m": "aws.lambda.enhanced.invocations", @@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/sync-metrics_python312.log b/tests/integration/snapshots/logs/sync-metrics_python312.log index 8b4c74cf..e9e3e339 100644 --- a/tests/integration/snapshots/logs/sync-metrics_python312.log +++ b/tests/integration/snapshots/logs/sync-metrics_python312.log @@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/sync-metrics_python38.log b/tests/integration/snapshots/logs/sync-metrics_python38.log index 4fe60af6..e9e6eea6 100644 --- a/tests/integration/snapshots/logs/sync-metrics_python38.log +++ b/tests/integration/snapshots/logs/sync-metrics_python38.log @@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, diff --git a/tests/integration/snapshots/logs/sync-metrics_python39.log b/tests/integration/snapshots/logs/sync-metrics_python39.log index 98d74ed6..ebc39ab5 100644 --- a/tests/integration/snapshots/logs/sync-metrics_python39.log +++ b/tests/integration/snapshots/logs/sync-metrics_python39.log @@ -47,11 +47,11 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, @@ -236,16 +236,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -415,16 +415,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -603,16 +603,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "http" }, @@ -792,16 +792,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -974,16 +974,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1157,16 +1157,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1339,16 +1339,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.synchronicity": "async", "_inferred_span.tag_source": "self", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" }, @@ -1527,16 +1527,16 @@ HTTP GET https://www.datadoghq.com/ Headers: ["Accept-Encoding:gzip, deflate", " "_inferred_span.tag_source": "self", "http.status_code": "200", "peer.service": "integration-tests-python", + "_dd.peer.service.source": "peer.service", + "_dd.base_service": "integration-tests-python", "_dd.p.dm": "-0", "_dd.p.tid": "XXXX", - "language": "python", - "_dd.peer.service.source": "peer.service", - "_dd.base_service": "integration-tests-python" + "language": "python" }, "metrics": { "process_id": XXXX, "_dd.top_level": 1, - "_sampling_priority_v1": 1 + "_sampling_priority_v1": -1 }, "type": "web" },