Allow passing [] and {} as argument.

aiida_workgraph/engine/utils.py

@@ -33,7 +33,7 @@ def prepare_for_python_task(task: dict, kwargs: dict, var_kwargs: dict) -> dict:
     import os
 
     # get the names kwargs for the PythonJob, which are the inputs before _wait
-    function_kwargs = {}
+    function_kwargs = kwargs.pop("function_kwargs", {})
     # TODO better way to find the function_kwargs
     input_names = [
         name

aiida_workgraph/engine/workgraph.py

@@ -639,6 +639,9 @@ def reset_task(
                 self.ctx._tasks[name]["execution_count"] = 0
             for child_task in self.ctx._tasks[name]["children"]:
                 self.reset_task(child_task, reset_process=False, recursive=False)
+        elif self.ctx._tasks[name]["metadata"]["node_type"].upper() in ["IF", "ZONE"]:
+            for child_task in self.ctx._tasks[name]["children"]:
+                self.reset_task(child_task, reset_process=False, recursive=False)
         if recursive:
             # reset its child tasks
             names = self.ctx._connectivity["child_node"][name]
@@ -816,8 +819,8 @@ def update_zone_task_state(self, name: str) -> None:
         finished, _ = self.are_childen_finished(name)
         if finished:
             self.set_task_state_info(name, "state", "FINISHED")
-            self.update_parent_task_state(name)
             self.report(f"Task: {name} finished.")
+            self.update_parent_task_state(name)
 
     def should_run_while_task(self, name: str) -> tuple[bool, t.Any]:
         """Check if the while task should run."""
@@ -949,6 +952,7 @@ def check_while_conditions(self) -> bool:
             task_name, socket_name = c.split(".")
             if "task_name" != "context":
                 condition_tasks.append(task_name)
+                self.reset_task(task_name)
         self.run_tasks(condition_tasks, continue_workgraph=False)
         conditions = []
         for c in self.ctx._workgraph["conditions"]:
@@ -1018,7 +1022,10 @@ def run_tasks(self, names: t.List[str], continue_workgraph: bool = True) -> None
                     )
                     continue
             # skip if the task is already executed
-            if name in self.ctx._executed_tasks:
+            # or if the task is in a skippped state
+            if name in self.ctx._executed_tasks or self.get_task_state_info(
+                name, "state"
+            ) in ["SKIPPED"]:
                 continue
             self.ctx._executed_tasks.append(name)
             print("-" * 60)

aiida_workgraph/utils/__init__.py

@@ -149,6 +149,18 @@ def get_nested_dict(d: Dict, name: str, **kwargs) -> Any:
     return current
 
 
+def merge_dicts(existing: Any, new: Any) -> Any:
+    """Recursively merges two dictionaries."""
+    if isinstance(existing, dict) and isinstance(new, dict):
+        for k, v in new.items():
+            if k in existing and isinstance(existing[k], dict) and isinstance(v, dict):
+                merge_dicts(existing[k], v)
+            else:
+                existing[k] = v
+    else:
+        return new
+
+
 def update_nested_dict(d: Optional[Dict[str, Any]], key: str, value: Any) -> None:
     """
     Update or create a nested dictionary structure based on a dotted key path.
@@ -178,11 +190,21 @@ def update_nested_dict(d: Optional[Dict[str, Any]], key: str, value: Any) -> Non
         If the resulting dictionary is empty after the update, it will be set to `None`.
 
     """
+
     keys = key.split(".")
     current = d if d is not None else {}
     for k in keys[:-1]:
         current = current.setdefault(k, {})
-    current[keys[-1]] = value
+    # Handle merging instead of overwriting
+    last_key = keys[-1]
+    if (
+        last_key in current
+        and isinstance(current[last_key], dict)
+        and isinstance(value, dict)
+    ):
+        merge_dicts(current[last_key], value)
+    else:
+        current[last_key] = value
     # if current is empty, set it to None
     if not current:
         current = None
@@ -200,26 +222,27 @@ def is_empty(value: Any) -> bool:
     return False
 
 
-def update_nested_dict_with_special_keys(d: Dict[str, Any]) -> Dict[str, Any]:
+def update_nested_dict_with_special_keys(data: Dict[str, Any]) -> Dict[str, Any]:
     """Remove None and empty value"""
-    d = {k: v for k, v in d.items() if v is not None and not is_empty(v)}
+    # data = {k: v for k, v in data.items() if v is not None and not is_empty(v)}
+    data = {k: v for k, v in data.items() if v is not None}
     #
-    special_keys = [k for k in d.keys() if "." in k]
+    special_keys = [k for k in data.keys() if "." in k]
     for key in special_keys:
-        value = d.pop(key)
-        update_nested_dict(d, key, value)
-    return d
+        value = data.pop(key)
+        update_nested_dict(data, key, value)
+    return data
 
 
 def merge_properties(wgdata: Dict[str, Any]) -> None:
     """Merge sub properties to the root properties.
-    {
-        "base.pw.parameters": 2,
-        "base.pw.code": 1,
-    }
-    after merge:
-    {"base": {"pw": {"parameters": 2,
-                    "code": 1}}
+        {
+            "base.pw.parameters": 2,
+            "base.pw.code": 1,
+        }
+        after merge:
+        {"base": {"pw": {"parameters": 2,
+                        "code": 1}}
     So that no "." in the key name.
     """
     for _, task in wgdata["tasks"].items():

tests/test_python.py

@@ -436,7 +436,7 @@ def add(x, y):
     wg = WorkGraph("test_PythonJob_retrieve_files")
     wg.add_task("PythonJob", function=add, name="add")
     # ------------------------- Submit the calculation -------------------
-    wg.submit(
+    wg.run(
         inputs={
             "add": {
                 "x": 2,
@@ -450,7 +450,6 @@ def add(x, y):
                 },
             },
         },
-        wait=True,
     )
     assert (
         "result.txt" in wg.tasks["add"].outputs["retrieved"].value.list_object_names()

tests/test_while.py

@@ -95,7 +95,7 @@ def test_while_workgraph(decorated_add, decorated_multiply, decorated_compare):
     wg.workgraph_type = "WHILE"
     wg.conditions = ["compare1.result"]
     wg.context = {"n": 1}
-    wg.max_iteration = 10
+    wg.max_iteration = 5
     wg.add_task(decorated_compare, name="compare1", x="{{n}}", y=20)
     multiply1 = wg.add_task(
         decorated_multiply, name="multiply1", x="{{ n }}", y=orm.Int(2)