Make PipelineState carry tracing context proto.

For now we will use no-op tracing context as a placeholder.

PiperOrigin-RevId: 613141675

tfx/orchestration/experimental/core/pipeline_ops.py

@@ -54,6 +54,8 @@
 from tfx.utils import io_utils
 from tfx.utils import status as status_lib
 
+from tfx.utils import tracecontext_pb2
+from tfx.utils import tracing
 from ml_metadata import errors as mlmd_errors
 from ml_metadata.proto import metadata_store_pb2
 
@@ -82,6 +84,11 @@ def _wrapper(*args, **kwargs):
       with contextlib.ExitStack() as stack:
         if lock:
           stack.enter_context(_PIPELINE_OPS_LOCK)
+        stack.enter_context(
+            tracing.LocalTraceSpan(
+                'TflexOrchestrator.pipeline_ops', fn.__name__
+            )
+        )
 
         health_status = env.get_env().health_status()
         if health_status.code != status_lib.Code.OK:
@@ -115,6 +122,7 @@ def initiate_pipeline_start(
     pipeline: pipeline_pb2.Pipeline,
     pipeline_run_metadata: Optional[Mapping[str, types.Property]] = None,
     partial_run_option: Optional[pipeline_pb2.PartialRun] = None,
+    trace_proto: Optional[tracecontext_pb2.TraceContextProto] = None,
 ) -> pstate.PipelineState:
   """Initiates a pipeline start operation.
 
@@ -125,6 +133,9 @@ def initiate_pipeline_start(
     pipeline: IR of the pipeline to start.
     pipeline_run_metadata: Pipeline run metadata.
     partial_run_option: Options for partial pipeline run.
+    trace_proto: Optional trace context proto to attach to the pipeline run.
+      This trace context will be extended from the task scheduling and the
+      children job executions.
 
   Returns:
     The `PipelineState` object upon success.
@@ -220,10 +231,11 @@ def initiate_pipeline_start(
         # TODO: b/323912217 - Support putting multiple subpipeline executions
         # into MLMD to handle the ForEach case.
         with pstate.PipelineState.new(
-            mlmd_handle,
-            subpipeline,
-            pipeline_run_metadata,
-            reused_subpipeline_view,
+            mlmd_handle=mlmd_handle,
+            pipeline=subpipeline,
+            pipeline_run_metadata=pipeline_run_metadata,
+            reused_pipeline_view=reused_subpipeline_view,
+            trace_proto=trace_proto,
         ) as subpipeline_state:
           # TODO: b/320535460 - The new pipeline run should not be stopped if
           # there are still nodes to run in it.
@@ -250,7 +262,11 @@ def initiate_pipeline_start(
       )
 
   return pstate.PipelineState.new(
-      mlmd_handle, pipeline, pipeline_run_metadata, reused_pipeline_view
+      mlmd_handle=mlmd_handle,
+      pipeline=pipeline,
+      pipeline_run_metadata=pipeline_run_metadata,
+      reused_pipeline_view=reused_pipeline_view,
+      trace_proto=trace_proto,
   )
 
 
@@ -937,9 +953,7 @@ def resume_pipeline(
         from_nodes=pipeline_nodes,
         to_nodes=pipeline_nodes,
         skip_nodes=previously_succeeded_nodes,
-        skip_snapshot_nodes=_get_previously_skipped_nodes(
-            latest_pipeline_view
-        ),
+        skip_snapshot_nodes=_get_previously_skipped_nodes(latest_pipeline_view),
         snapshot_settings=snapshot_settings,
     )
   except ValueError as e:
@@ -961,7 +975,9 @@ def resume_pipeline(
       )
 
   return pstate.PipelineState.new(
-      mlmd_handle, pipeline, reused_pipeline_view=latest_pipeline_view
+      mlmd_handle=mlmd_handle,
+      pipeline=pipeline,
+      reused_pipeline_view=latest_pipeline_view,
   )
 
 

tfx/orchestration/experimental/core/pipeline_state.py

@@ -50,6 +50,7 @@
 
 from tfx.utils import telemetry_utils
 from google.protobuf import message
+from tfx.utils import tracecontext_pb2
 import ml_metadata as mlmd
 from ml_metadata.proto import metadata_store_pb2
 
@@ -74,6 +75,7 @@
 _PIPELINE_EXEC_MODE = 'pipeline_exec_mode'
 _PIPELINE_EXEC_MODE_SYNC = 'sync'
 _PIPELINE_EXEC_MODE_ASYNC = 'async'
+_PIPELINE_RUN_TRACE_PROTO = 'trace_proto'
 
 _last_state_change_time_secs = -1.0
 _state_change_time_lock = threading.Lock()
@@ -485,7 +487,28 @@ def wrapper(*args, **kwargs):
   return wrapper
 
 
-class PipelineState:
+def _set_trace_proto(
+    execution: metadata_store_pb2.Execution,
+    trace_proto: tracecontext_pb2.TraceContextProto,
+):
+  execution.custom_properties[_PIPELINE_RUN_TRACE_PROTO].proto_value.Pack(
+      trace_proto
+  )
+
+
+def _get_trace_proto(
+    execution: metadata_store_pb2.Execution,
+) -> Optional[tracecontext_pb2.TraceContextProto]:
+  if _PIPELINE_RUN_TRACE_PROTO in execution.custom_properties:
+    result = tracecontext_pb2.TraceContextProto()
+    execution.custom_properties[_PIPELINE_RUN_TRACE_PROTO].proto_value.Unpack(
+        result
+    )
+    return result
+  return None
+
+
+class PipelineState(contextlib.ExitStack):
   """Context manager class for dealing with pipeline state.
 
   The state of a pipeline is stored as an MLMD execution and this class provides
@@ -512,6 +535,7 @@ class PipelineState:
     execution_id: Id of the underlying execution in MLMD.
     pipeline_uid: Unique id of the pipeline.
     pipeline_run_id: pipeline_run_id in case of sync pipeline, `None` otherwise.
+    trace_proto: Optional TraceContextProto for tracing the pipeline run.
   """
 
   def __init__(
@@ -521,6 +545,7 @@ def __init__(
       pipeline_id: str,
   ):
     """Constructor. Use one of the factory methods to initialize."""
+    super().__init__()
     self.mlmd_handle = mlmd_handle
     # TODO(b/201294315): Fix self.pipeline going out of sync with the actual
     # pipeline proto stored in the underlying MLMD execution in some cases.
@@ -540,13 +565,19 @@ def __init__(
     self.pipeline_uid = task_lib.PipelineUid.from_pipeline_id_and_run_id(
         pipeline_id, self.pipeline_run_id
     )
+    # Since TraceContextProto is immutable, use the constructor Execution arg to
+    # retrieve the value instead of lazy parsing self._execution.
+    self._trace_proto = _get_trace_proto(execution)
 
     # Only set within the pipeline state context.
-    self._mlmd_execution_atomic_op_context = None
     self._execution: Optional[metadata_store_pb2.Execution] = None
     self._on_commit_callbacks: List[Callable[[], None]] = []
     self._node_states_proxy: Optional[_NodeStatesProxy] = None
 
+  @property
+  def trace_proto(self) -> Optional[tracecontext_pb2.TraceContextProto]:
+    return self._trace_proto
+
   @classmethod
   @telemetry_utils.noop_telemetry(metrics_utils.no_op_metrics)
   @_synchronized
@@ -556,6 +587,7 @@ def new(
       pipeline: pipeline_pb2.Pipeline,
       pipeline_run_metadata: Optional[Mapping[str, types.Property]] = None,
       reused_pipeline_view: Optional['PipelineView'] = None,
+      trace_proto: Optional[tracecontext_pb2.TraceContextProto] = None,
   ) -> 'PipelineState':
     """Creates a `PipelineState` object for a new pipeline.
 
@@ -568,6 +600,9 @@ def new(
       pipeline_run_metadata: Pipeline run metadata.
       reused_pipeline_view: PipelineView of the previous pipeline reused for a
         partial run.
+      trace_proto: Optional trace context proto to attach to the pipeline run.
+        This trace context will be extended from the task scheduling and the
+        children job executions.
 
     Returns:
       A `PipelineState` object.
@@ -670,6 +705,8 @@ def new(
         exec_properties=exec_properties,
         execution_name=str(uuid.uuid4()),
     )
+    if trace_proto is not None:
+      _set_trace_proto(execution, trace_proto)
     if pipeline.execution_mode == pipeline_pb2.Pipeline.SYNC:
       data_types_utils.set_metadata_value(
           execution.custom_properties[_PIPELINE_RUN_ID],
@@ -1113,6 +1150,7 @@ def get_orchestration_options(
     return env.get_env().get_orchestration_options(self.pipeline)
 
   def __enter__(self) -> 'PipelineState':
+    super().__enter__()
 
     def _run_on_commit_callbacks(pre_commit_execution, post_commit_execution):
       del pre_commit_execution
@@ -1121,23 +1159,24 @@ def _run_on_commit_callbacks(pre_commit_execution, post_commit_execution):
       for on_commit_cb in self._on_commit_callbacks:
         on_commit_cb()
 
-    mlmd_execution_atomic_op_context = mlmd_state.mlmd_execution_atomic_op(
-        self.mlmd_handle, self.execution_id, _run_on_commit_callbacks)
-    execution = mlmd_execution_atomic_op_context.__enter__()
-    self._mlmd_execution_atomic_op_context = mlmd_execution_atomic_op_context
-    self._execution = execution
-    self._node_states_proxy = _NodeStatesProxy(execution)
+    @contextlib.contextmanager
+    def mlmd_execution():
+      try:
+        with mlmd_state.mlmd_execution_atomic_op(
+            self.mlmd_handle, self.execution_id, _run_on_commit_callbacks
+        ) as execution:
+          yield execution
+      finally:
+        self._on_commit_callbacks.clear()
+
+    self._execution = self.enter_context(mlmd_execution())
+    self._node_states_proxy = _NodeStatesProxy(self._execution)
+    self.callback(self._cleanup)
     return self
 
-  def __exit__(self, exc_type, exc_val, exc_tb):
+  def _cleanup(self):
     self._node_states_proxy.save()
-    mlmd_execution_atomic_op_context = self._mlmd_execution_atomic_op_context
-    self._mlmd_execution_atomic_op_context = None
     self._execution = None
-    try:
-      mlmd_execution_atomic_op_context.__exit__(exc_type, exc_val, exc_tb)
-    finally:
-      self._on_commit_callbacks.clear()
 
   def _check_context(self) -> None:
     if self._execution is None:

tfx/orchestration/experimental/core/task_schedulers/subpipeline_task_scheduler.py

@@ -120,8 +120,11 @@ def schedule(self) -> task_scheduler.TaskSchedulerResult:
         # was already started so the execution should already exist.
         self._put_begin_node_execution()
         logging.info('[Subpipeline Task Scheduler]: start subpipeline.')
-        pipeline_ops.initiate_pipeline_start(self.mlmd_handle,
-                                             self._sub_pipeline, None, None)
+        pipeline_ops.initiate_pipeline_start(
+            mlmd_handle=self.mlmd_handle,
+            pipeline=self._sub_pipeline,
+            trace_proto=None,
+        )
       except status_lib.StatusNotOkError as e:
         return task_scheduler.TaskSchedulerResult(status=e.status())
 

tfx/utils/tracecontext_pb2.py

@@ -0,0 +1,18 @@
+# Copyright 2024 Google LLC. All Rights Reserved.
+#
+# 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.
+"""Tracecontext module."""
+
+
+class TraceContextProto:
+  pass

tfx/utils/tracing.py

@@ -0,0 +1,38 @@
+# Copyright 2024 Google LLC. All Rights Reserved.
+#
+# 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.
+"""Tracing module."""
+
+import contextlib
+from typing import Any
+
+from tfx.utils import tracecontext_pb2
+
+
+class TraceContext:
+
+  def is_traced(self) -> bool:
+    return False
+
+  def to_proto(self) -> tracecontext_pb2.TraceContextProto:
+    return tracecontext_pb2.TraceContextProto()
+
+
+class LocalTraceSpan(contextlib.ContextDecorator):
+
+  def __init__(self, *args: Any, **kwargs: Any):
+    pass
+
+
+def current_tracing_context() -> TraceContext:
+  return TraceContext()