0.10.1 Patch Release (#438)

*Description of changes:*

This PR merges the following commits to `release/0.10.x`


07d9d0d

b75ef99


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copy, and redistribute this contribution, under the terms of your
choice.

---------

Co-authored-by: aws-application-signals-bot <[email protected]>
Co-authored-by: github-actions <[email protected]>
Co-authored-by: Min Xia <[email protected]>

Author: 4 people

.github/workflows/daily_scan.yml

@@ -82,15 +82,15 @@ jobs:
         id: high_scan
         uses: ./.github/actions/image_scan
         with:
-          image-ref: "public.ecr.aws/aws-observability/adot-autoinstrumentation-python:v0.9.0"
+          image-ref: "public.ecr.aws/aws-observability/adot-autoinstrumentation-python:v0.10.0"
           severity: 'CRITICAL,HIGH'
 
       - name: Perform low image scan
         if: always()
         id: low_scan
         uses: ./.github/actions/image_scan
         with:
-          image-ref: "public.ecr.aws/aws-observability/adot-autoinstrumentation-python:v0.9.0"
+          image-ref: "public.ecr.aws/aws-observability/adot-autoinstrumentation-python:v0.10.0"
           severity: 'MEDIUM,LOW,UNKNOWN'
 
       - name: Configure AWS Credentials for emitting metrics

aws-opentelemetry-distro/src/amazon/opentelemetry/distro/exporter/aws/metrics/aws_cloudwatch_emf_exporter.py

@@ -509,11 +509,13 @@ def _create_emf_log(
         for name, value in all_attributes.items():
             emf_log[name] = str(value)
 
-        # Add the single dimension set to CloudWatch Metrics if we have dimensions and metrics
-        if dimension_names and metric_definitions:
-            emf_log["_aws"]["CloudWatchMetrics"].append(
-                {"Namespace": self.namespace, "Dimensions": [dimension_names], "Metrics": metric_definitions}
-            )
+        # Add CloudWatch Metrics if we have metrics, include dimensions only if they exist
+        if metric_definitions:
+            cloudwatch_metric = {"Namespace": self.namespace, "Metrics": metric_definitions}
+            if dimension_names:
+                cloudwatch_metric["Dimensions"] = [dimension_names]
+
+            emf_log["_aws"]["CloudWatchMetrics"].append(cloudwatch_metric)
 
         return emf_log
 

aws-opentelemetry-distro/src/amazon/opentelemetry/distro/patches/_botocore_patches.py

@@ -2,6 +2,8 @@
 # SPDX-License-Identifier: Apache-2.0
 # Modifications Copyright The OpenTelemetry Authors. Licensed under the Apache License 2.0 License.
 import importlib
+import json
+from typing import Any, Dict, Optional, Sequence
 
 from botocore.exceptions import ClientError
 
@@ -32,7 +34,7 @@
     _determine_call_context,
     _safe_invoke,
 )
-from opentelemetry.instrumentation.botocore.extensions import _KNOWN_EXTENSIONS, _find_extension
+from opentelemetry.instrumentation.botocore.extensions import _KNOWN_EXTENSIONS, _find_extension, bedrock_utils
 from opentelemetry.instrumentation.botocore.extensions.dynamodb import _DynamoDbExtension
 from opentelemetry.instrumentation.botocore.extensions.lmbd import _LambdaExtension
 from opentelemetry.instrumentation.botocore.extensions.sns import _SnsExtension
@@ -234,7 +236,7 @@ def patch_on_success(self, span: Span, result: _BotoResultT, instrumentor_contex
     _SqsExtension.on_success = patch_on_success
 
 
-def _apply_botocore_bedrock_patch() -> None:
+def _apply_botocore_bedrock_patch() -> None:  # pylint: disable=too-many-statements
     """Botocore instrumentation patch for Bedrock, Bedrock Agent, and Bedrock Agent Runtime
 
     This patch adds an extension to the upstream's list of known extension for Bedrock.
@@ -245,7 +247,91 @@ def _apply_botocore_bedrock_patch() -> None:
     _KNOWN_EXTENSIONS["bedrock"] = _lazy_load(".", "_BedrockExtension")
     _KNOWN_EXTENSIONS["bedrock-agent"] = _lazy_load(".", "_BedrockAgentExtension")
     _KNOWN_EXTENSIONS["bedrock-agent-runtime"] = _lazy_load(".", "_BedrockAgentRuntimeExtension")
-    # bedrock-runtime is handled by upstream
+
+    # TODO: The following code is to patch bedrock-runtime bugs that are fixed in
+    # opentelemetry-instrumentation-botocore==0.56b0 in these PRs:
+    # https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3548
+    # https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3544
+    # Remove this code once we've bumped opentelemetry-instrumentation-botocore dependency to 0.56b0
+
+    old_init = bedrock_utils.ConverseStreamWrapper.__init__
+    old_process_event = bedrock_utils.ConverseStreamWrapper._process_event
+
+    # The OpenTelemetry Authors code
+    def patched_init(self, *args, **kwargs):
+        old_init(self, *args, **kwargs)
+        self._tool_json_input_buf = ""
+
+    def patched_process_event(self, event):
+        if "contentBlockStart" in event:
+            start = event["contentBlockStart"].get("start", {})
+            if "toolUse" in start:
+                self._content_block = {"toolUse": start["toolUse"]}
+            return
+
+        if "contentBlockDelta" in event:
+            if self._record_message:
+                delta = event["contentBlockDelta"].get("delta", {})
+                if "text" in delta:
+                    self._content_block.setdefault("text", "")
+                    self._content_block["text"] += delta["text"]
+                elif "toolUse" in delta:
+                    if (input_buf := delta["toolUse"].get("input")) is not None:
+                        self._tool_json_input_buf += input_buf
+            return
+
+        if "contentBlockStop" in event:
+            if self._record_message:
+                if self._tool_json_input_buf:
+                    try:
+                        self._content_block["toolUse"]["input"] = json.loads(self._tool_json_input_buf)
+                    except json.JSONDecodeError:
+                        self._content_block["toolUse"]["input"] = self._tool_json_input_buf
+                self._message["content"].append(self._content_block)
+                self._content_block = {}
+                self._tool_json_input_buf = ""
+            return
+
+        old_process_event(self, event)
+
+    def patched_extract_tool_calls(
+        message: dict[str, Any], capture_content: bool
+    ) -> Optional[Sequence[Dict[str, Any]]]:
+        content = message.get("content")
+        if not content:
+            return None
+
+        tool_uses = [item["toolUse"] for item in content if "toolUse" in item]
+        if not tool_uses:
+            tool_uses = [item for item in content if isinstance(item, dict) and item.get("type") == "tool_use"]
+            tool_id_key = "id"
+        else:
+            tool_id_key = "toolUseId"
+
+        if not tool_uses:
+            return None
+
+        tool_calls = []
+        for tool_use in tool_uses:
+            tool_call = {"type": "function"}
+            if call_id := tool_use.get(tool_id_key):
+                tool_call["id"] = call_id
+
+            if function_name := tool_use.get("name"):
+                tool_call["function"] = {"name": function_name}
+
+            if (function_input := tool_use.get("input")) and capture_content:
+                tool_call.setdefault("function", {})
+                tool_call["function"]["arguments"] = function_input
+
+            tool_calls.append(tool_call)
+        return tool_calls
+
+    bedrock_utils.ConverseStreamWrapper.__init__ = patched_init
+    bedrock_utils.ConverseStreamWrapper._process_event = patched_process_event
+    bedrock_utils.extract_tool_calls = patched_extract_tool_calls
+
+    # END The OpenTelemetry Authors code
 
 
 def _apply_botocore_dynamodb_patch() -> None:
@@ -270,7 +356,7 @@ def patch_on_success(self, span: Span, result: _BotoResultT, instrumentor_contex
 
 
 def _apply_botocore_api_call_patch() -> None:
-    # pylint: disable=too-many-locals
+    # pylint: disable=too-many-locals,too-many-statements
     def patched_api_call(self, original_func, instance, args, kwargs):
         """Botocore instrumentation patch to capture AWS authentication details
 

aws-opentelemetry-distro/tests/amazon/opentelemetry/distro/exporter/aws/metrics/test_aws_cloudwatch_emf_exporter.py

@@ -391,9 +391,38 @@ def test_create_emf_log_with_resource(self):
         # Check CloudWatch metrics structure
         cw_metrics = result["_aws"]["CloudWatchMetrics"][0]
         self.assertEqual(cw_metrics["Namespace"], "TestNamespace")
+        self.assertIn("Dimensions", cw_metrics)
         self.assertEqual(set(cw_metrics["Dimensions"][0]), {"env", "service"})
         self.assertEqual(cw_metrics["Metrics"][0]["Name"], "gauge_metric")
 
+    def test_create_emf_log_without_dimensions(self):
+        """Test EMF log creation with metrics but no dimensions."""
+        # Create test record without attributes (no dimensions)
+        gauge_record = self.exporter._create_metric_record("gauge_metric", "Count", "Gauge")
+        gauge_record.value = 75.0
+        gauge_record.timestamp = int(time.time() * 1000)
+        gauge_record.attributes = {}  # No attributes = no dimensions
+
+        records = [gauge_record]
+        resource = Resource.create({"service.name": "test-service"})
+
+        result = self.exporter._create_emf_log(records, resource, 1234567890)
+
+        # Verify EMF log structure
+        self.assertIn("_aws", result)
+        self.assertIn("CloudWatchMetrics", result["_aws"])
+        self.assertEqual(result["_aws"]["Timestamp"], 1234567890)
+        self.assertEqual(result["Version"], "1")
+
+        # Check metric value
+        self.assertEqual(result["gauge_metric"], 75.0)
+
+        # Check CloudWatch metrics structure - should have metrics but no dimensions
+        cw_metrics = result["_aws"]["CloudWatchMetrics"][0]
+        self.assertEqual(cw_metrics["Namespace"], "TestNamespace")
+        self.assertNotIn("Dimensions", cw_metrics)  # No dimensions should be present
+        self.assertEqual(cw_metrics["Metrics"][0]["Name"], "gauge_metric")
+
     def test_create_emf_log_skips_empty_metric_names(self):
         """Test that EMF log creation skips records with empty metric names."""
         # Create a record with no metric name

aws-opentelemetry-distro/tests/amazon/opentelemetry/distro/test_instrumentation_patch.py

@@ -15,7 +15,7 @@
     apply_instrumentation_patches,
 )
 from opentelemetry.instrumentation.botocore import BotocoreInstrumentor
-from opentelemetry.instrumentation.botocore.extensions import _KNOWN_EXTENSIONS
+from opentelemetry.instrumentation.botocore.extensions import _KNOWN_EXTENSIONS, bedrock_utils
 from opentelemetry.propagate import get_global_textmap
 from opentelemetry.semconv.trace import SpanAttributes
 from opentelemetry.trace.span import Span
@@ -84,6 +84,10 @@ def _run_patch_behaviour_tests(self):
         self._test_unpatched_botocore_propagator()
         self._test_unpatched_gevent_instrumentation()
         self._test_unpatched_starlette_instrumentation()
+        # TODO: remove these tests once we bump botocore instrumentation version to 0.56b0
+        # Bedrock Runtime tests
+        self._test_unpatched_converse_stream_wrapper()
+        self._test_unpatched_extract_tool_calls()
 
         # Apply patches
         apply_instrumentation_patches()
@@ -219,6 +223,11 @@ def _test_patched_botocore_instrumentation(self):
         # Bedrock Agent Operation
         self._test_patched_bedrock_agent_instrumentation()
 
+        # TODO: remove these tests once we bump botocore instrumentation version to 0.56b0
+        # Bedrock Runtime
+        self._test_patched_converse_stream_wrapper()
+        self._test_patched_extract_tool_calls()
+
         # Bedrock Agent Runtime
         self.assertTrue("bedrock-agent-runtime" in _KNOWN_EXTENSIONS)
         bedrock_agent_runtime_attributes: Dict[str, str] = _do_extract_attributes_bedrock("bedrock-agent-runtime")
@@ -470,6 +479,127 @@ def _test_patched_bedrock_instrumentation(self):
         self.assertEqual(len(bedrock_sucess_attributes), 1)
         self.assertEqual(bedrock_sucess_attributes["aws.bedrock.guardrail.id"], _BEDROCK_GUARDRAIL_ID)
 
+    def _test_unpatched_extract_tool_calls(self):
+        """Test unpatched extract_tool_calls with string content throws AttributeError"""
+        message_with_string_content = {"role": "assistant", "content": "{"}
+        with self.assertRaises(AttributeError):
+            bedrock_utils.extract_tool_calls(message_with_string_content, True)
+
+    def _test_unpatched_converse_stream_wrapper(self):
+        """Test unpatched bedrock-runtime where input values remain as numbers"""
+
+        mock_stream = MagicMock()
+        mock_span = MagicMock()
+        mock_stream_error_callback = MagicMock()
+
+        wrapper = bedrock_utils.ConverseStreamWrapper(mock_stream, mock_span, mock_stream_error_callback)
+        wrapper._record_message = True
+        wrapper._message = {"role": "assistant", "content": []}
+
+        start_event = {
+            "contentBlockStart": {
+                "start": {
+                    "toolUse": {
+                        "toolUseId": "random_id",
+                        "name": "example",
+                        "input": '{"input": 999999999999999999}',
+                    }
+                },
+                "contentBlockIndex": 0,
+            }
+        }
+        wrapper._process_event(start_event)
+
+        # Validate that _content_block contains toolUse input that has been JSON decoded
+        self.assertIn("toolUse", wrapper._content_block)
+        self.assertIn("input", wrapper._content_block["toolUse"])
+        self.assertIn("input", wrapper._content_block["toolUse"]["input"])
+        # Validate that input values are numbers (unpatched behavior)
+        self.assertIsInstance(wrapper._content_block["toolUse"]["input"]["input"], int)
+        self.assertEqual(wrapper._content_block["toolUse"]["input"]["input"], 999999999999999999)
+
+        stop_event = {"contentBlockStop": {"contentBlockIndex": 0}}
+        wrapper._process_event(stop_event)
+
+        expected_tool_use = {
+            "toolUseId": "random_id",
+            "name": "example",
+            "input": {"input": 999999999999999999},
+        }
+        self.assertEqual(len(wrapper._message["content"]), 1)
+        self.assertEqual(wrapper._message["content"][0]["toolUse"], expected_tool_use)
+
+    def _test_patched_converse_stream_wrapper(self):
+        """Test patched bedrock-runtime"""
+
+        # Create mock arguments for ConverseStreamWrapper
+        mock_stream = MagicMock()
+        mock_span = MagicMock()
+        mock_stream_error_callback = MagicMock()
+
+        # Create real ConverseStreamWrapper with mocked arguments
+        wrapper = bedrock_utils.ConverseStreamWrapper(mock_stream, mock_span, mock_stream_error_callback)
+        wrapper._record_message = True
+        wrapper._message = {"role": "assistant", "content": []}
+
+        # Test contentBlockStart
+        start_event = {
+            "contentBlockStart": {
+                "start": {
+                    "toolUse": {
+                        "toolUseId": "random_id",
+                        "name": "example",
+                        "input": '{"input": 999999999999999999}',
+                    }
+                },
+                "contentBlockIndex": 0,
+            }
+        }
+
+        wrapper._process_event(start_event)
+
+        # Validate that _content_block contains toolUse input as literal string (patched behavior)
+        self.assertIn("toolUse", wrapper._content_block)
+        self.assertIn("input", wrapper._content_block["toolUse"])
+        # Validate that input is a string containing the literal JSON (not decoded)
+        self.assertIsInstance(wrapper._content_block["toolUse"]["input"], str)
+        self.assertEqual(wrapper._content_block["toolUse"]["input"], '{"input": 999999999999999999}')
+
+        # Test contentBlockDelta events
+        delta_events = [
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": '{"in'}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": 'put": 9'}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": "99"}}, "contentBlockIndex": 0}},
+            {"contentBlockDelta": {"delta": {"toolUse": {"input": "99"}}, "contentBlockIndex": 0}},
+        ]
+
+        for delta_event in delta_events:
+            wrapper._process_event(delta_event)
+
+        # Verify accumulated input buffer
+        self.assertEqual(wrapper._tool_json_input_buf, '{"input": 99999')
+
+        # Test contentBlockStop
+        stop_event = {"contentBlockStop": {"contentBlockIndex": 0}}
+        wrapper._process_event(stop_event)
+
+        # Verify final content_block toolUse value (input becomes the accumulated JSON string)
+        expected_tool_use = {
+            "toolUseId": "random_id",
+            "name": "example",
+            "input": '{"input": 99999',
+        }
+        self.assertEqual(len(wrapper._message["content"]), 1)
+        self.assertEqual(wrapper._message["content"][0]["toolUse"], expected_tool_use)
+
+    def _test_patched_extract_tool_calls(self):
+        """Test patched extract_tool_calls with string content"""
+
+        # Test extract_tool_calls with string content (should return None)
+        message_with_string_content = {"role": "assistant", "content": "{"}
+        result = bedrock_utils.extract_tool_calls(message_with_string_content, True)
+        self.assertIsNone(result)
+
     def _test_patched_bedrock_agent_instrumentation(self):
         """For bedrock-agent service, both extract_attributes and on_success provides attributes,
         the attributes depend on the API being invoked."""