# Copyright The OpenTelemetry Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Instrument `Botocore`_ to trace service requests.
There are two options for instrumenting code. The first option is to use the
``opentelemetry-instrument`` executable which will automatically
instrument your Botocore client. The second is to programmatically enable
instrumentation via the following code:
.. _Botocore: https://pypi.org/project/botocore/
Usage
-----
.. code:: python
from opentelemetry.instrumentation.botocore import BotocoreInstrumentor
import botocore
# Instrument Botocore
BotocoreInstrumentor().instrument()
# This will create a span with Botocore-specific attributes
session = botocore.session.get_session()
session.set_credentials(
access_key="access-key", secret_key="secret-key"
)
ec2 = self.session.create_client("ec2", region_name="us-west-2")
ec2.describe_instances()
API
---
The `instrument` method accepts the following keyword args:
tracer_provider (TracerProvider) - an optional tracer provider
request_hook (Callable) - a function with extra user-defined logic to be performed before performing the request
this function signature is: def request_hook(span: Span, service_name: str, operation_name: str, api_params: dict) -> None
response_hook (Callable) - a function with extra user-defined logic to be performed after performing the request
this function signature is: def request_hook(span: Span, service_name: str, operation_name: str, result: dict) -> None
for example:
.. code: python
from opentelemetry.instrumentation.botocore import BotocoreInstrumentor
import botocore
def request_hook(span, service_name, operation_name, api_params):
# request hook logic
def response_hook(span, service_name, operation_name, result):
# response hook logic
# Instrument Botocore with hooks
BotocoreInstrumentor().instrument(request_hook=request_hook, response_hook=response_hook)
# This will create a span with Botocore-specific attributes, including custom attributes added from the hooks
session = botocore.session.get_session()
session.set_credentials(
access_key="access-key", secret_key="secret-key"
)
ec2 = self.session.create_client("ec2", region_name="us-west-2")
ec2.describe_instances()
"""
import logging
from typing import Any, Callable, Collection, Dict, Optional, Tuple
from botocore.client import BaseClient
from botocore.endpoint import Endpoint
from botocore.exceptions import ClientError
from wrapt import wrap_function_wrapper
from opentelemetry.instrumentation.botocore.extensions import _find_extension
from opentelemetry.instrumentation.botocore.extensions.types import (
_AwsSdkCallContext,
)
from opentelemetry.instrumentation.botocore.package import _instruments
from opentelemetry.instrumentation.botocore.version import __version__
from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
from opentelemetry.instrumentation.utils import (
is_instrumentation_enabled,
suppress_http_instrumentation,
unwrap,
)
from opentelemetry.propagators.aws.aws_xray_propagator import AwsXRayPropagator
from opentelemetry.semconv.trace import SpanAttributes
from opentelemetry.trace import get_tracer
from opentelemetry.trace.span import Span
logger = logging.getLogger(__name__)
[docs]class BotocoreInstrumentor(BaseInstrumentor):
"""An instrumentor for Botocore.
See `BaseInstrumentor`
"""
def __init__(self):
super().__init__()
self.request_hook = None
self.response_hook = None
self.propagator = AwsXRayPropagator()
[docs] def instrumentation_dependencies(self) -> Collection[str]:
return _instruments
def _instrument(self, **kwargs):
# pylint: disable=attribute-defined-outside-init
self._tracer = get_tracer(
__name__,
__version__,
kwargs.get("tracer_provider"),
schema_url="https://opentelemetry.io/schemas/1.11.0",
)
self.request_hook = kwargs.get("request_hook")
self.response_hook = kwargs.get("response_hook")
propagator = kwargs.get("propagator")
if propagator is not None:
self.propagator = propagator
wrap_function_wrapper(
"botocore.client",
"BaseClient._make_api_call",
self._patched_api_call,
)
wrap_function_wrapper(
"botocore.endpoint",
"Endpoint.prepare_request",
self._patched_endpoint_prepare_request,
)
def _uninstrument(self, **kwargs):
unwrap(BaseClient, "_make_api_call")
unwrap(Endpoint, "prepare_request")
# pylint: disable=unused-argument
def _patched_endpoint_prepare_request(
self, wrapped, instance, args, kwargs
):
request = args[0]
headers = request.headers
# Only the x-ray header is propagated by AWS services. Using any
# other propagator will lose the trace context.
self.propagator.inject(headers)
return wrapped(*args, **kwargs)
# pylint: disable=too-many-branches
def _patched_api_call(self, original_func, instance, args, kwargs):
if not is_instrumentation_enabled():
return original_func(*args, **kwargs)
call_context = _determine_call_context(instance, args)
if call_context is None:
return original_func(*args, **kwargs)
extension = _find_extension(call_context)
if not extension.should_trace_service_call():
return original_func(*args, **kwargs)
attributes = {
SpanAttributes.RPC_SYSTEM: "aws-api",
SpanAttributes.RPC_SERVICE: call_context.service_id,
SpanAttributes.RPC_METHOD: call_context.operation,
# TODO: update when semantic conventions exist
"aws.region": call_context.region,
}
_safe_invoke(extension.extract_attributes, attributes)
with self._tracer.start_as_current_span(
call_context.span_name,
kind=call_context.span_kind,
attributes=attributes,
) as span:
_safe_invoke(extension.before_service_call, span)
self._call_request_hook(span, call_context)
try:
with suppress_http_instrumentation():
result = None
try:
result = original_func(*args, **kwargs)
except ClientError as error:
result = getattr(error, "response", None)
_apply_response_attributes(span, result)
_safe_invoke(extension.on_error, span, error)
raise
_apply_response_attributes(span, result)
_safe_invoke(extension.on_success, span, result)
finally:
_safe_invoke(extension.after_service_call)
self._call_response_hook(span, call_context, result)
return result
def _call_request_hook(self, span: Span, call_context: _AwsSdkCallContext):
if not callable(self.request_hook):
return
self.request_hook(
span,
call_context.service,
call_context.operation,
call_context.params,
)
def _call_response_hook(
self, span: Span, call_context: _AwsSdkCallContext, result
):
if not callable(self.response_hook):
return
self.response_hook(
span, call_context.service, call_context.operation, result
)
def _apply_response_attributes(span: Span, result):
if result is None or not span.is_recording():
return
metadata = result.get("ResponseMetadata")
if metadata is None:
return
request_id = metadata.get("RequestId")
if request_id is None:
headers = metadata.get("HTTPHeaders")
if headers is not None:
request_id = (
headers.get("x-amzn-RequestId")
or headers.get("x-amz-request-id")
or headers.get("x-amz-id-2")
)
if request_id:
# TODO: update when semantic conventions exist
span.set_attribute("aws.request_id", request_id)
retry_attempts = metadata.get("RetryAttempts")
if retry_attempts is not None:
# TODO: update when semantic conventions exists
span.set_attribute("retry_attempts", retry_attempts)
status_code = metadata.get("HTTPStatusCode")
if status_code is not None:
span.set_attribute(SpanAttributes.HTTP_STATUS_CODE, status_code)
def _determine_call_context(
client: BaseClient, args: Tuple[str, Dict[str, Any]]
) -> Optional[_AwsSdkCallContext]:
try:
call_context = _AwsSdkCallContext(client, args)
logger.debug(
"AWS SDK invocation: %s %s",
call_context.service,
call_context.operation,
)
return call_context
except Exception as ex: # pylint:disable=broad-except
# this shouldn't happen actually unless internals of botocore changed and
# extracting essential attributes ('service' and 'operation') failed.
logger.error("Error when initializing call context", exc_info=ex)
return None
def _safe_invoke(function: Callable, *args):
function_name = "<unknown>"
try:
function_name = function.__name__
function(*args)
except Exception as ex: # pylint:disable=broad-except
logger.error(
"Error when invoking function '%s'", function_name, exc_info=ex
)