def __call__(self, *args, **kwargs) -> Any:
from .composition import is_in_composition
from dagster.core.execution.context.invocation import DirectSolidExecutionContext
if is_in_composition():
return super(SolidDefinition, self).__call__(*args, **kwargs)
else:
experimental_functionality_warning(
"Solid invocation out of composition scope")
if self._context_arg_provided:
if len(args) == 0:
raise DagsterInvalidInvocationError(
f"Compute function of solid '{self.name}' has context argument, but no context "
"was provided when invoking.")
elif args[0] is not None and not isinstance(
args[0], DirectSolidExecutionContext):
raise DagsterInvalidInvocationError(
f"Compute function of solid '{self.name}' has context argument, but no context "
"was provided when invoking.")
context = args[0]
return solid_invocation_result(self, context, *args[1:],
**kwargs)
else:
if len(args) > 0 and isinstance(args[0],
DirectSolidExecutionContext):
raise DagsterInvalidInvocationError(
f"Compute function of solid '{self.name}' has no context argument, but "
"context was provided when invoking.")
return solid_invocation_result(self, None, *args, **kwargs)
def _store_output(
step_context: StepExecutionContext,
step_output_handle: StepOutputHandle,
output: Union[Output, DynamicOutput],
input_lineage: List[AssetLineageInfo],
) -> Iterator[DagsterEvent]:
output_def = step_context.solid_def.output_def_named(
step_output_handle.output_name)
output_manager = step_context.get_io_manager(step_output_handle)
output_context = step_context.get_output_context(step_output_handle)
with solid_execution_error_boundary(
DagsterExecutionHandleOutputError,
msg_fn=lambda:
(f'Error occurred while handling output "{output_context.name}" of '
f'step "{step_context.step.key}":'),
step_context=step_context,
step_key=step_context.step.key,
output_name=output_context.name,
):
handle_output_res = output_manager.handle_output(
output_context, output.value)
manager_materializations = []
manager_metadata_entries = []
if handle_output_res is not None:
for elt in ensure_gen(handle_output_res):
if isinstance(elt, AssetMaterialization):
manager_materializations.append(elt)
elif isinstance(elt, (EventMetadataEntry, PartitionMetadataEntry)):
experimental_functionality_warning(
"Yielding metadata from an IOManager's handle_output() function"
)
manager_metadata_entries.append(elt)
else:
raise DagsterInvariantViolationError(
f"IO manager on output {output_def.name} has returned "
f"value {elt} of type {type(elt).__name__}. The return type can only be "
"one of AssetMaterialization, EventMetadataEntry, PartitionMetadataEntry."
)
# do not alter explicitly created AssetMaterializations
for materialization in manager_materializations:
yield DagsterEvent.asset_materialization(step_context, materialization,
input_lineage)
asset_key, partitions = _asset_key_and_partitions_for_output(
output_context, output_def, output_manager)
if asset_key:
for materialization in _get_output_asset_materializations(
asset_key,
partitions,
output,
output_def,
manager_metadata_entries,
):
yield DagsterEvent.asset_materialization(step_context,
materialization,
input_lineage)
yield DagsterEvent.handled_output(
step_context,
output_name=step_output_handle.output_name,
manager_key=output_def.io_manager_key,
message_override=
f'Handled input "{step_output_handle.output_name}" using intermediate storage'
if isinstance(output_manager, IntermediateStorageAdapter) else None,
metadata_entries=[
entry for entry in manager_metadata_entries
if isinstance(entry, EventMetadataEntry)
],
)
def _store_output(
step_context: StepExecutionContext,
step_output_handle: StepOutputHandle,
output: Union[Output, DynamicOutput],
input_lineage: List[AssetLineageInfo],
) -> Iterator[DagsterEvent]:
output_def = step_context.solid_def.output_def_named(step_output_handle.output_name)
output_manager = step_context.get_io_manager(step_output_handle)
output_context = step_context.get_output_context(step_output_handle)
manager_materializations = []
manager_metadata_entries: List[Union[PartitionMetadataEntry, MetadataEntry]] = []
# output_manager.handle_output is either a generator function, or a normal function with or
# without a return value. In the case that handle_output is a normal function, we need to
# catch errors should they be raised before a return value. We can do this by wrapping
# handle_output in a generator so that errors will be caught within iterate_with_context.
if not inspect.isgeneratorfunction(output_manager.handle_output):
def _gen_fn():
gen_output = output_manager.handle_output(output_context, output.value)
for event in output_context.consume_events():
yield event
if gen_output:
yield gen_output
handle_output_gen = _gen_fn()
else:
handle_output_gen = output_manager.handle_output(output_context, output.value)
for elt in iterate_with_context(
lambda: solid_execution_error_boundary(
DagsterExecutionHandleOutputError,
msg_fn=lambda: (
f'Error occurred while handling output "{output_context.name}" of '
f'step "{step_context.step.key}":'
),
step_context=step_context,
step_key=step_context.step.key,
output_name=output_context.name,
),
handle_output_gen,
):
for event in output_context.consume_events():
yield event
manager_metadata_entries.extend(output_context.consume_logged_metadata_entries())
if isinstance(elt, DagsterEvent):
yield elt
elif isinstance(elt, AssetMaterialization):
manager_materializations.append(elt)
elif isinstance(elt, (MetadataEntry, PartitionMetadataEntry)):
experimental_functionality_warning(
"Yielding metadata from an IOManager's handle_output() function"
)
manager_metadata_entries.append(elt)
else:
raise DagsterInvariantViolationError(
f"IO manager on output {output_def.name} has returned "
f"value {elt} of type {type(elt).__name__}. The return type can only be "
"one of AssetMaterialization, MetadataEntry, PartitionMetadataEntry."
)
for event in output_context.consume_events():
yield event
manager_metadata_entries.extend(output_context.consume_logged_metadata_entries())
# do not alter explicitly created AssetMaterializations
for materialization in manager_materializations:
if materialization.metadata_entries and manager_metadata_entries:
raise DagsterInvariantViolationError(
f"When handling output '{output_context.name}' of {output_context.solid_def.node_type_str} '{output_context.solid_def.name}', received a materialization with metadata, while context.add_output_metadata was used within the same call to handle_output. Due to potential conflicts, this is not allowed. Please specify metadata in one place within the `handle_output` function."
)
if manager_metadata_entries:
materialization = AssetMaterialization(
asset_key=materialization.asset_key,
description=materialization.description,
metadata_entries=manager_metadata_entries,
partition=materialization.partition,
tags=materialization.tags,
metadata=None,
)
yield DagsterEvent.asset_materialization(step_context, materialization, input_lineage)
asset_key, partitions = _asset_key_and_partitions_for_output(
output_context, output_def, output_manager
)
if asset_key:
for materialization in _get_output_asset_materializations(
asset_key,
partitions,
output,
output_def,
manager_metadata_entries,
):
yield DagsterEvent.asset_materialization(step_context, materialization, input_lineage)
yield DagsterEvent.handled_output(
step_context,
output_name=step_output_handle.output_name,
manager_key=output_def.io_manager_key,
metadata_entries=[
entry for entry in manager_metadata_entries if isinstance(entry, MetadataEntry)
],
)
def _store_output(
step_context: StepExecutionContext,
step_output_handle: StepOutputHandle,
output: Union[Output, DynamicOutput],
input_lineage: List[AssetLineageInfo],
) -> Iterator[DagsterEvent]:
output_def = step_context.solid_def.output_def_named(step_output_handle.output_name)
output_manager = step_context.get_io_manager(step_output_handle)
output_context = step_context.get_output_context(step_output_handle)
manager_materializations = []
manager_metadata_entries = []
# output_manager.handle_output is either a generator function, or a normal function with or
# without a return value. In the case that handle_output is a normal function, we need to
# catch errors should they be raised before a return value. We can do this by wrapping
# handle_output in a generator so that errors will be caught within iterate_with_context.
if not inspect.isgeneratorfunction(output_manager.handle_output):
def _gen_fn():
gen_output = output_manager.handle_output(output_context, output.value)
if gen_output:
yield gen_output
handle_output_gen = _gen_fn()
else:
handle_output_gen = output_manager.handle_output(output_context, output.value)
for elt in iterate_with_context(
lambda: solid_execution_error_boundary(
DagsterExecutionHandleOutputError,
msg_fn=lambda: (
f'Error occurred while handling output "{output_context.name}" of '
f'step "{step_context.step.key}":'
),
step_context=step_context,
step_key=step_context.step.key,
output_name=output_context.name,
),
handle_output_gen,
):
if isinstance(elt, AssetMaterialization):
manager_materializations.append(elt)
elif isinstance(elt, (EventMetadataEntry, PartitionMetadataEntry)):
experimental_functionality_warning(
"Yielding metadata from an IOManager's handle_output() function"
)
manager_metadata_entries.append(elt)
else:
raise DagsterInvariantViolationError(
f"IO manager on output {output_def.name} has returned "
f"value {elt} of type {type(elt).__name__}. The return type can only be "
"one of AssetMaterialization, EventMetadataEntry, PartitionMetadataEntry."
)
# do not alter explicitly created AssetMaterializations
for materialization in manager_materializations:
yield DagsterEvent.asset_materialization(step_context, materialization, input_lineage)
asset_key, partitions = _asset_key_and_partitions_for_output(
output_context, output_def, output_manager
)
if asset_key:
for materialization in _get_output_asset_materializations(
asset_key,
partitions,
output,
output_def,
manager_metadata_entries,
):
yield DagsterEvent.asset_materialization(step_context, materialization, input_lineage)
yield DagsterEvent.handled_output(
step_context,
output_name=step_output_handle.output_name,
manager_key=output_def.io_manager_key,
metadata_entries=[
entry for entry in manager_metadata_entries if isinstance(entry, EventMetadataEntry)
],
)