add indirect execution context access

python_modules/dagster/dagster/_core/execution/context/compute.py

@@ -1,4 +1,6 @@
 from abc import ABC, ABCMeta, abstractmethod
+from contextlib import contextmanager
+from contextvars import ContextVar
 from inspect import _empty as EmptyAnnotation
 from typing import (
     AbstractSet,
@@ -308,7 +310,10 @@ def my_asset(context: AssetExecutionContext):
         """
         return self._step_execution_context.partition_key
 
-    @deprecated(breaking_version="2.0", additional_warn_text="Use `partition_key_range` instead.")
+    @deprecated(
+        breaking_version="2.0",
+        additional_warn_text="Use `partition_key_range` instead.",
+    )
     @public
     @property
     def asset_partition_key_range(self) -> PartitionKeyRange:
@@ -1300,15 +1305,24 @@ def typed_event_stream_error_message(self) -> Optional[str]:
     def set_requires_typed_event_stream(self, *, error_message: Optional[str] = None) -> None:
         self._step_execution_context.set_requires_typed_event_stream(error_message=error_message)
 
+    @staticmethod
+    def get_current() -> Optional["OpExecutionContext"]:
+        return _current_op_execution_context.get()
+
 
 class AssetExecutionContext(OpExecutionContext):
     def __init__(self, step_execution_context: StepExecutionContext):
         super().__init__(step_execution_context=step_execution_context)
 
+    @staticmethod
+    def get_current() -> Optional["AssetExecutionContext"]:
+        return _current_asset_execution_context.get()
+
 
-def build_execution_context(
+@contextmanager
+def enter_execution_context(
     step_context: StepExecutionContext,
-) -> Union[OpExecutionContext, AssetExecutionContext]:
+) -> Iterator[Union[OpExecutionContext, AssetExecutionContext]]:
     """Get the correct context based on the type of step (op or asset) and the user provided context
     type annotation. Follows these rules.
 
@@ -1359,16 +1373,37 @@ def build_execution_context(
             " OpExecutionContext, or left blank."
         )
 
-    if context_annotation is EmptyAnnotation:
-        # if no type hint has been given, default to:
-        # * AssetExecutionContext for sda steps not in graph-backed assets, and asset_checks
-        # * OpExecutionContext for non sda steps
-        # * OpExecutionContext for ops in graph-backed assets
-        if is_asset_check:
-            return AssetExecutionContext(step_context)
-        if is_op_in_graph_asset or not is_sda_step:
-            return OpExecutionContext(step_context)
-        return AssetExecutionContext(step_context)
-    if context_annotation is AssetExecutionContext:
-        return AssetExecutionContext(step_context)
-    return OpExecutionContext(step_context)
+    asset_ctx = AssetExecutionContext(step_context)
+    op_ctx = OpExecutionContext(step_context)
+
+    asset_token = _current_asset_execution_context.set(asset_ctx)
+    op_token = _current_op_execution_context.set(op_ctx)
+
+    try:
+        if context_annotation is EmptyAnnotation:
+            # if no type hint has been given, default to:
+            # * AssetExecutionContext for sda steps not in graph-backed assets, and asset_checks
+            # * OpExecutionContext for non sda steps
+            # * OpExecutionContext for ops in graph-backed assets
+            if is_asset_check:
+                yield asset_ctx
+            elif is_op_in_graph_asset or not is_sda_step:
+                yield op_ctx
+            else:
+                yield asset_ctx
+        elif context_annotation is AssetExecutionContext:
+            yield asset_ctx
+        else:
+            yield op_ctx
+    finally:
+        _current_asset_execution_context.reset(asset_token)
+        _current_op_execution_context.reset(op_token)
+
+
+_current_op_execution_context: ContextVar[Optional[OpExecutionContext]] = ContextVar(
+    "_current_op_execution_context", default=None
+)
+
+_current_asset_execution_context: ContextVar[Optional[AssetExecutionContext]] = ContextVar(
+    "_current_asset_execution_context", default=None
+)

python_modules/dagster/dagster/_core/execution/plan/compute.py

@@ -3,7 +3,6 @@
 from typing import (
     Any,
     AsyncIterator,
-    Callable,
     Iterator,
     List,
     Mapping,
@@ -31,9 +30,15 @@
 from dagster._core.definitions.asset_layer import AssetLayer
 from dagster._core.definitions.op_definition import OpComputeFunction
 from dagster._core.definitions.result import MaterializeResult
-from dagster._core.errors import DagsterExecutionStepExecutionError, DagsterInvariantViolationError
+from dagster._core.errors import (
+    DagsterExecutionStepExecutionError,
+    DagsterInvariantViolationError,
+)
 from dagster._core.events import DagsterEvent
-from dagster._core.execution.context.compute import build_execution_context
+from dagster._core.execution.context.compute import (
+    AssetExecutionContext,
+    OpExecutionContext,
+)
 from dagster._core.execution.context.system import StepExecutionContext
 from dagster._core.system_config.objects import ResolvedRunConfig
 from dagster._utils import iterate_with_context
@@ -57,7 +62,10 @@
 
 
 def create_step_outputs(
-    node: Node, handle: NodeHandle, resolved_run_config: ResolvedRunConfig, asset_layer: AssetLayer
+    node: Node,
+    handle: NodeHandle,
+    resolved_run_config: ResolvedRunConfig,
+    asset_layer: AssetLayer,
 ) -> Sequence[StepOutput]:
     check.inst_param(node, "node", Node)
     check.inst_param(handle, "handle", NodeHandle)
@@ -143,12 +151,12 @@ def gen_from_async_gen(async_gen: AsyncIterator[T]) -> Iterator[T]:
 
 
 def _yield_compute_results(
-    step_context: StepExecutionContext, inputs: Mapping[str, Any], compute_fn: Callable
+    step_context: StepExecutionContext,
+    inputs: Mapping[str, Any],
+    compute_fn: OpComputeFunction,
+    compute_context: Union[OpExecutionContext, AssetExecutionContext],
 ) -> Iterator[OpOutputUnion]:
-    check.inst_param(step_context, "step_context", StepExecutionContext)
-
-    context = build_execution_context(step_context)
-    user_event_generator = compute_fn(context, inputs)
+    user_event_generator = compute_fn(compute_context, inputs)
 
     if isinstance(user_event_generator, Output):
         raise DagsterInvariantViolationError(
@@ -181,27 +189,27 @@ def _yield_compute_results(
         ),
         user_event_generator,
     ):
-        if context.has_events():
-            yield from context.consume_events()
+        if compute_context.has_events():
+            yield from compute_context.consume_events()
         yield _validate_event(event, step_context)
 
-    if context.has_events():
-        yield from context.consume_events()
+    if compute_context.has_events():
+        yield from compute_context.consume_events()
 
 
 def execute_core_compute(
-    step_context: StepExecutionContext, inputs: Mapping[str, Any], compute_fn: OpComputeFunction
+    step_context: StepExecutionContext,
+    inputs: Mapping[str, Any],
+    compute_fn: OpComputeFunction,
+    compute_context: Union[OpExecutionContext, AssetExecutionContext],
 ) -> Iterator[OpOutputUnion]:
     """Execute the user-specified compute for the op. Wrap in an error boundary and do
     all relevant logging and metrics tracking.
     """
-    check.inst_param(step_context, "step_context", StepExecutionContext)
-    check.mapping_param(inputs, "inputs", key_type=str)
-
     step = step_context.step
 
     emitted_result_names = set()
-    for step_output in _yield_compute_results(step_context, inputs, compute_fn):
+    for step_output in _yield_compute_results(step_context, inputs, compute_fn, compute_context):
         yield step_output
         if isinstance(step_output, (DynamicOutput, Output)):
             emitted_result_names.add(step_output.output_name)

python_modules/dagster/dagster/_core/execution/plan/execute_step.py

@@ -57,6 +57,7 @@
     user_code_error_boundary,
 )
 from dagster._core.events import DagsterEvent
+from dagster._core.execution.context.compute import enter_execution_context
 from dagster._core.execution.context.output import OutputContext
 from dagster._core.execution.context.system import StepExecutionContext, TypeCheckContext
 from dagster._core.execution.plan.compute import execute_core_compute
@@ -462,13 +463,14 @@ def core_dagster_event_sequence_for_step(
     else:
         core_gen = step_context.op_def.compute_fn
 
-    with time_execution_scope() as timer_result:
-        user_event_sequence = check.generator(
-            execute_core_compute(
-                step_context,
-                inputs,
-                core_gen,
-            )
+    with time_execution_scope() as timer_result, enter_execution_context(
+        step_context
+    ) as compute_context:
+        user_event_sequence = execute_core_compute(
+            step_context,
+            inputs,
+            core_gen,
+            compute_context,
         )
 
         # It is important for this loop to be indented within the

python_modules/dagster/dagster_tests/core_tests/execution_tests/test_context.py

@@ -405,3 +405,18 @@ def the_op(context: int):
         @asset
         def the_asset(context: int):
             pass
+
+
+def test_get_context():
+    ctx = OpExecutionContext.get_current()
+    assert ctx is None, ctx.job_name
+
+    @op
+    def o(context):
+        assert context == OpExecutionContext.get_current()
+
+    @job
+    def j():
+        o()
+
+    assert j.execute_in_process().success