constants.py

# Unless explicitly stated otherwise all files in this repository are licensed
# under the Apache License Version 2.0.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019 Datadog, Inc.


# Datadog trace sampling priority
class SamplingPriority(object):
    USER_REJECT = -1
    AUTO_REJECT = 0
    AUTO_KEEP = 1
    USER_KEEP = 2


# Datadog trace headers
class TraceHeader(object):
    TRACE_ID = "x-datadog-trace-id"
    PARENT_ID = "x-datadog-parent-id"
    SAMPLING_PRIORITY = "x-datadog-sampling-priority"
    TAGS = "x-datadog-tags"


# X-Ray subsegment to save Datadog trace metadata
class XraySubsegment(object):
    NAME = "datadog-metadata"
    TRACE_KEY = "trace"
    LAMBDA_FUNCTION_TAGS_KEY = "lambda_function_tags"
    NAMESPACE = "datadog"


# TraceContextSource of datadog context. The DD_MERGE_XRAY_TRACES
# feature uses this to determine when to use X-Ray as the parent
# trace.
class TraceContextSource(object):
    XRAY = "xray"
    EVENT = "event"
    DDTRACE = "ddtrace"


# X-Ray deamon
class XrayDaemon(object):
    XRAY_TRACE_ID_HEADER_NAME = "_X_AMZN_TRACE_ID"
    XRAY_DAEMON_ADDRESS = "AWS_XRAY_DAEMON_ADDRESS"
    FUNCTION_NAME_HEADER_NAME = "AWS_LAMBDA_FUNCTION_NAME"


class Headers(object):
    Parent_Span_Finish_Time = "x-datadog-parent-span-finish-time"

    # For one request from the client, the event.requestContext.requestIds in the authorizer lambda
    # invocation and the main function invocation are IDENTICAL. Therefore we can use it to tell
    # whether current invocation is the actual original authorizing request or a cached request.
    Authorizing_Request_Id = "x-datadog-authorizing-requestid"