Add "awatiable_builder" decorator

aiida_workgraph/decorator.py

@@ -663,6 +663,23 @@ def decorator(func):
 
         return decorator
 
+    @staticmethod
+    @nonfunctional_usage
+    def awaitable_builder(**kwargs: Any) -> Callable:
+        def decorator(func):
+            # Then, apply task decorator
+            task_decorated = build_task_from_callable(
+                func,
+                inputs=kwargs.get("inputs", []),
+                outputs=kwargs.get("outputs", []),
+            )
+            task_decorated.node_type = "awaitable_builder"
+            func.identifier = "awaitable_builder"
+            func.task = func.node = task_decorated
+            return func
+
+        return decorator
+
     # Making decorator_task accessible as 'task'
     task = decorator_task
 

aiida_workgraph/engine/utils.py

@@ -1,6 +1,18 @@
 from aiida_workgraph.orm.serializer import serialize_to_aiida_nodes
 from aiida import orm
 from aiida.common.extendeddicts import AttributeDict
+from aiida.engine.utils import instantiate_process, prepare_inputs
+from aiida.manage import manager
+from aiida.engine import run_get_node
+from aiida.common import InvalidOperation
+from aiida.common.log import AIIDA_LOGGER
+from aiida.engine.processes import Process, ProcessBuilder
+from aiida.orm import ProcessNode
+import typing as t
+import time
+
+TYPE_SUBMIT_PROCESS = t.Union[Process, t.Type[Process], ProcessBuilder]
+LOGGER = AIIDA_LOGGER.getChild("engine.launch")
 
 
 def prepare_for_workgraph_task(task: dict, kwargs: dict) -> tuple:
@@ -142,3 +154,66 @@ def prepare_for_shell_task(task: dict, kwargs: dict) -> dict:
         "metadata": metadata or {},
     }
     return inputs
+
+
+# modified from aiida.engine.submit
+# do not check the scope of the process
+def submit(
+    process: TYPE_SUBMIT_PROCESS,
+    inputs: dict[str, t.Any] | None = None,
+    *,
+    wait: bool = False,
+    wait_interval: int = 5,
+    **kwargs: t.Any,
+) -> ProcessNode:
+    """Submit the process with the supplied inputs to the daemon immediately returning control to the interpreter.
+
+    .. warning: this should not be used within another process. Instead, there one should use the ``submit`` method of
+        the wrapping process itself, i.e. use ``self.submit``.
+
+    .. warning: submission of processes requires ``store_provenance=True``.
+
+    :param process: the process class, instance or builder to submit
+    :param inputs: the input dictionary to be passed to the process
+    :param wait: when set to ``True``, the submission will be blocking and wait for the process to complete at which
+        point the function returns the calculation node.
+    :param wait_interval: the number of seconds to wait between checking the state of the process when ``wait=True``.
+    :param kwargs: inputs to be passed to the process. This is an alternative to the positional ``inputs`` argument.
+    :return: the calculation node of the process
+    """
+    inputs = prepare_inputs(inputs, **kwargs)
+
+    runner = manager.get_manager().get_runner()
+    assert runner.persister is not None, "runner does not have a persister"
+    assert runner.controller is not None, "runner does not have a controller"
+
+    process_inited = instantiate_process(runner, process, **inputs)
+
+    # If a dry run is requested, simply forward to `run`, because it is not compatible with `submit`. We choose for this
+    # instead of raising, because in this way the user does not have to change the launcher when testing. The same goes
+    # for if `remote_folder` is present in the inputs, which means we are importing an already completed calculation.
+    if process_inited.metadata.get("dry_run", False) or "remote_folder" in inputs:
+        _, node = run_get_node(process_inited)
+        return node
+
+    if not process_inited.metadata.store_provenance:
+        raise InvalidOperation("cannot submit a process with `store_provenance=False`")
+
+    runner.persister.save_checkpoint(process_inited)
+    process_inited.close()
+
+    # Do not wait for the future's result, because in the case of a single worker this would cock-block itself
+    runner.controller.continue_process(process_inited.pid, nowait=False, no_reply=True)
+    node = process_inited.node
+
+    if not wait:
+        return node
+
+    while not node.is_terminated:
+        LOGGER.report(
+            f"Process<{node.pk}> has not yet terminated, current state is `{node.process_state}`. "
+            f"Waiting for {wait_interval} seconds."
+        )
+        time.sleep(wait_interval)
+
+    return node

aiida_workgraph/engine/workgraph.py

@@ -40,7 +40,8 @@
 __all__ = "WorkGraph"
 
 
-MAX_NUMBER_AWAITABLES_MSG = "The maximum number of subprocesses has been reached: {}. Cannot launch the job: {}."
+MAX_NUMBER_AWAITABLES_MSG = "The maximum number of subprocesses has been reached: {}.\
+Waiting for other jobs to finish before launching the {}."
 
 
 @auto_persist("_awaitables")
@@ -289,16 +290,16 @@ def _do_step(self) -> t.Any:
         else:
             finished, result = self.is_workgraph_finished()
 
+        if self._awaitables:
+            return Wait(self._do_step, "Waiting before next step")
+
         # If the workgraph is finished or the result is an ExitCode, we exit by returning
         if finished:
             if isinstance(result, ExitCode):
                 return result
             else:
                 return self.finalize()
 
-        if self._awaitables:
-            return Wait(self._do_step, "Waiting before next step")
-
         return Continue(self._do_step)
 
     def _store_nodes(self, data: t.Any) -> None:
@@ -390,7 +391,10 @@ def _on_awaitable_finished(self, awaitable: Awaitable) -> None:
 
         # node finished, update the task state and result
         # udpate the task state
-        self.update_task_state(awaitable.key)
+        if awaitable.key in self.ctx._tasks:
+            self.update_task_state(awaitable.key)
+        else:
+            self.report(f"Awaitable {awaitable.key} finished.")
         # try to resume the workgraph, if the workgraph is already resumed
         # by other awaitable, this will not work
         try:
@@ -870,9 +874,10 @@ def run_tasks(self, names: t.List[str], continue_workgraph: bool = True) -> None
                 "WORKGRAPH",
                 "PYTHONJOB",
                 "SHELLJOB",
+                "AWAITABLE_BUILDER",
             ]:
                 if len(self._awaitables) >= self.ctx._max_number_awaitables:
-                    print(
+                    self.report(
                         MAX_NUMBER_AWAITABLES_MSG.format(
                             self.ctx._max_number_awaitables, name
                         )
@@ -1066,6 +1071,29 @@ def run_tasks(self, names: t.List[str], continue_workgraph: bool = True) -> None
                 self.set_task_state_info(name, "state", "FINISHED")
                 self.update_parent_task_state(name)
                 self.continue_workgraph()
+            elif task["metadata"]["node_type"].upper() in ["AWAITABLE_BUILDER"]:
+                # create the awaitable
+                for key in self.ctx._tasks[name]["metadata"]["args"]:
+                    kwargs.pop(key, None)
+                results = self.run_executor(
+                    executor, args, kwargs, var_args, var_kwargs
+                )
+                if not isinstance(results, dict):
+                    self.report("The results of the awaitable builder must be a dict.")
+                    for key, value in results.items():
+                        if not isinstance(value, ProcessNode):
+                            self.report(
+                                f"The value of key {key} is not an instance of ProcessNode."
+                            )
+                            self.set_task_state_info(name, "state", "Failed")
+                    self.set_task_state_info(name, "state", "Failed")
+                    self.report(f"Task: {name} failed.")
+                else:
+                    self.set_task_state_info(name, "state", "FINISHED")
+                    self.to_context(**results)
+                    self.report(f"Task: {name} finished.")
+                self.update_parent_task_state(name)
+                self.continue_workgraph()
             elif task["metadata"]["node_type"].upper() in ["NORMAL"]:
                 # normal function does not have a process
                 if "context" in task["metadata"]["kwargs"]: