Async type engine

flytekit/core/array_node_map_task.py

@@ -29,6 +29,7 @@
 from flytekit.tools.module_loader import load_object_from_module
 from flytekit.types.pickle import pickle
 from flytekit.types.pickle.pickle import FlytePickleTransformer
+from flytekit.utils.asyn import loop_manager
 
 
 class ArrayNodeMapTask(PythonTask):
@@ -253,7 +254,7 @@ def _literal_map_to_python_input(
                 v = literal_map.literals[k]
                 # If the input is offloaded, we need to unwrap it
                 if v.offloaded_metadata:
-                    v = TypeEngine.unwrap_offloaded_literal(ctx, v)
+                    v = loop_manager.run_sync(TypeEngine.unwrap_offloaded_literal, ctx, v)
                 if k not in self.bound_inputs:
                     # assert that v.collection is not None
                     if not v.collection or not isinstance(v.collection.literals, list):

flytekit/core/base_task.py

@@ -86,6 +86,7 @@
 from flytekit.models.documentation import Description, Documentation
 from flytekit.models.interface import Variable
 from flytekit.models.security import SecurityContext
+from flytekit.utils.asyn import run_sync
 
 DYNAMIC_PARTITIONS = "_uap"
 MODEL_CARD = "_ucm"
@@ -608,7 +609,7 @@ def _literal_map_to_python_input(
     ) -> Dict[str, Any]:
         return TypeEngine.literal_map_to_kwargs(ctx, literal_map, self.python_interface.inputs)
 
-    def _output_to_literal_map(self, native_outputs: Dict[int, Any], ctx: FlyteContext):
+    async def _output_to_literal_map(self, native_outputs: Dict[int, Any], ctx: FlyteContext):
         expected_output_names = list(self._outputs_interface.keys())
         if len(expected_output_names) == 1:
             # Here we have to handle the fact that the task could've been declared with a typing.NamedTuple of
@@ -629,27 +630,35 @@ def _output_to_literal_map(self, native_outputs: Dict[int, Any], ctx: FlyteConte
         with timeit("Translate the output to literals"):
             literals = {}
             omt = ctx.output_metadata_tracker
+            # Here is where we iterate through the outputs, need to call new type engine.
             for i, (k, v) in enumerate(native_outputs_as_map.items()):
                 literal_type = self._outputs_interface[k].type
                 py_type = self.get_type_for_output_var(k, v)
 
                 if isinstance(v, tuple):
                     raise TypeError(f"Output({k}) in task '{self.name}' received a tuple {v}, instead of {py_type}")
-                try:
-                    lit = TypeEngine.to_literal(ctx, v, py_type, literal_type)
-                    literals[k] = lit
-                except Exception as e:
+                literals[k] = asyncio.create_task(TypeEngine.async_to_literal(ctx, v, py_type, literal_type))
+
+            await asyncio.gather(*literals.values(), return_exceptions=True)
+
+            for i, (k2, v2) in enumerate(literals.items()):
+                if v2.exception() is not None:
                     # only show the name of output key if it's user-defined (by default Flyte names these as "o<n>")
-                    key = k if k != f"o{i}" else i
+                    key = k2 if k2 != f"o{i}" else i
+                    e: BaseException = v2.exception()  # type: ignore  # we know this is not optional
+                    py_type = self.get_type_for_output_var(k2, native_outputs_as_map[k2])
                     e.args = (
                         f"Failed to convert outputs of task '{self.name}' at position {key}.\n"
                         f"Failed to convert type {type(native_outputs_as_map[expected_output_names[i]])} to type {py_type}.\n"
                         f"Error Message: {e.args[0]}.",
                     )
-                    raise
-                # Now check if there is any output metadata associated with this output variable and attach it to the
-                # literal
-                if omt is not None:
+                    raise e
+                literals[k2] = v2.result()
+
+            if omt is not None:
+                for i, (k, v) in enumerate(native_outputs_as_map.items()):
+                    # Now check if there is any output metadata associated with this output variable and attach it to the
+                    # literal
                     om = omt.get(v)
                     if om:
                         metadata = {}
@@ -669,7 +678,7 @@ def _output_to_literal_map(self, native_outputs: Dict[int, Any], ctx: FlyteConte
                             encoded = b64encode(s).decode("utf-8")
                             metadata[DYNAMIC_PARTITIONS] = encoded
                         if metadata:
-                            lit.set_metadata(metadata)
+                            literals[k].set_metadata(metadata)  # type: ignore  # we know these have been resolved
 
         return _literal_models.LiteralMap(literals=literals), native_outputs_as_map
 
@@ -697,7 +706,7 @@ def _write_decks(self, native_inputs, native_outputs_as_map, ctx, new_user_param
     async def _async_execute(self, native_inputs, native_outputs, ctx, exec_ctx, new_user_params):
         native_outputs = await native_outputs
         native_outputs = self.post_execute(new_user_params, native_outputs)
-        literals_map, native_outputs_as_map = self._output_to_literal_map(native_outputs, exec_ctx)
+        literals_map, native_outputs_as_map = await self._output_to_literal_map(native_outputs, exec_ctx)
         self._write_decks(native_inputs, native_outputs_as_map, ctx, new_user_params)
         return literals_map
 
@@ -787,7 +796,10 @@ def dispatch_execute(
                 return native_outputs
 
             try:
-                literals_map, native_outputs_as_map = self._output_to_literal_map(native_outputs, exec_ctx)
+                with timeit("dispatch execute"):
+                    literals_map, native_outputs_as_map = run_sync(
+                        self._output_to_literal_map, native_outputs, exec_ctx
+                    )
                 self._write_decks(native_inputs, native_outputs_as_map, ctx, new_user_params)
             except (FlyteUploadDataException, FlyteDownloadDataException):
                 raise

flytekit/core/promise.py

@@ -44,9 +44,10 @@
 from flytekit.models.literals import Binary, Literal, Primitive, Scalar
 from flytekit.models.task import Resources
 from flytekit.models.types import SimpleType
+from flytekit.utils.asyn import loop_manager, run_sync
 
 
-def translate_inputs_to_literals(
+async def _translate_inputs_to_literals(
     ctx: FlyteContext,
     incoming_values: Dict[str, Any],
     flyte_interface_types: Dict[str, _interface_models.Variable],
@@ -94,16 +95,19 @@ def my_wf(in1: int, in2: int) -> int:
         t = native_types[k]
         try:
             if type(v) is Promise:
-                v = resolve_attr_path_in_promise(v)
-            result[k] = TypeEngine.to_literal(ctx, v, t, var.type)
+                v = await resolve_attr_path_in_promise(v)
+            result[k] = await TypeEngine.async_to_literal(ctx, v, t, var.type)
         except TypeTransformerFailedError as exc:
             exc.args = (f"Failed argument '{k}': {exc.args[0]}",)
             raise
 
     return result
 
 
-def resolve_attr_path_in_promise(p: Promise) -> Promise:
+translate_inputs_to_literals = loop_manager.synced(_translate_inputs_to_literals)
+
+
+async def resolve_attr_path_in_promise(p: Promise) -> Promise:
     """
     resolve_attr_path_in_promise resolves the attribute path in a promise and returns a new promise with the resolved value
     This is for local execution only. The remote execution will be resolved in flytepropeller.
@@ -145,7 +149,9 @@ def resolve_attr_path_in_promise(p: Promise) -> Promise:
             new_st = resolve_attr_path_in_pb_struct(st, attr_path=p.attr_path[used:])
             literal_type = TypeEngine.to_literal_type(type(new_st))
             # Reconstruct the resolved result to flyte literal (because the resolved result might not be struct)
-            curr_val = TypeEngine.to_literal(FlyteContextManager.current_context(), new_st, type(new_st), literal_type)
+            curr_val = await TypeEngine.async_to_literal(
+                FlyteContextManager.current_context(), new_st, type(new_st), literal_type
+            )
         elif type(curr_val.value.value) is Binary:
             binary_idl_obj = curr_val.value.value
             if binary_idl_obj.tag == _common_constants.MESSAGEPACK:
@@ -786,7 +792,7 @@ def __rshift__(self, other: Any):
     return Output(*promises)  # type: ignore
 
 
-def binding_data_from_python_std(
+async def binding_data_from_python_std(
     ctx: _flyte_context.FlyteContext,
     expected_literal_type: _type_models.LiteralType,
     t_value: Any,
@@ -821,7 +827,8 @@ def binding_data_from_python_std(
         # If the value is not a container type, then we can directly convert it to a scalar in the Union case.
         # This pushes the handling of the Union types to the type engine.
         if not isinstance(t_value, list) and not isinstance(t_value, dict):
-            scalar = TypeEngine.to_literal(ctx, t_value, t_value_type or type(t_value), expected_literal_type).scalar
+            lit = await TypeEngine.async_to_literal(ctx, t_value, t_value_type or type(t_value), expected_literal_type)
+            scalar = lit.scalar
             return _literals_models.BindingData(scalar=scalar)
 
         # If it is a container type, then we need to iterate over the variants in the Union type, try each one. This is
@@ -831,7 +838,7 @@ def binding_data_from_python_std(
             try:
                 lt_type = expected_literal_type.union_type.variants[i]
                 python_type = get_args(t_value_type)[i] if t_value_type else None
-                return binding_data_from_python_std(ctx, lt_type, t_value, python_type, nodes)
+                return await binding_data_from_python_std(ctx, lt_type, t_value, python_type, nodes)
             except Exception:
                 logger.debug(
                     f"failed to bind data {t_value} with literal type {expected_literal_type.union_type.variants[i]}."
@@ -844,7 +851,9 @@ def binding_data_from_python_std(
         sub_type: Optional[type] = ListTransformer.get_sub_type_or_none(t_value_type)
         collection = _literals_models.BindingDataCollection(
             bindings=[
-                binding_data_from_python_std(ctx, expected_literal_type.collection_type, t, sub_type or type(t), nodes)
+                await binding_data_from_python_std(
+                    ctx, expected_literal_type.collection_type, t, sub_type or type(t), nodes
+                )
                 for t in t_value
             ]
         )
@@ -860,13 +869,13 @@ def binding_data_from_python_std(
                 f"this should be a Dictionary type and it is not: {type(t_value)} vs {expected_literal_type}"
             )
         if expected_literal_type.simple == _type_models.SimpleType.STRUCT:
-            lit = TypeEngine.to_literal(ctx, t_value, type(t_value), expected_literal_type)
+            lit = await TypeEngine.async_to_literal(ctx, t_value, type(t_value), expected_literal_type)
             return _literals_models.BindingData(scalar=lit.scalar)
         else:
             _, v_type = DictTransformer.extract_types_or_metadata(t_value_type)
             m = _literals_models.BindingDataMap(
                 bindings={
-                    k: binding_data_from_python_std(
+                    k: await binding_data_from_python_std(
                         ctx, expected_literal_type.map_value_type, v, v_type or type(v), nodes
                     )
                     for k, v in t_value.items()
@@ -883,8 +892,8 @@ def binding_data_from_python_std(
         )
 
     # This is the scalar case - e.g. my_task(in1=5)
-    scalar = TypeEngine.to_literal(ctx, t_value, t_value_type or type(t_value), expected_literal_type).scalar
-    return _literals_models.BindingData(scalar=scalar)
+    lit = await TypeEngine.async_to_literal(ctx, t_value, t_value_type or type(t_value), expected_literal_type)
+    return _literals_models.BindingData(scalar=lit.scalar)
 
 
 def binding_from_python_std(
@@ -895,7 +904,8 @@ def binding_from_python_std(
     t_value_type: type,
 ) -> Tuple[_literals_models.Binding, List[Node]]:
     nodes: List[Node] = []
-    binding_data = binding_data_from_python_std(
+    binding_data = run_sync(
+        binding_data_from_python_std,
         ctx,
         expected_literal_type,
         t_value,