Move the basic data type from workgraph to there

pyproject.toml

@@ -47,6 +47,14 @@ Source = "https://github.com/aiidateam/aiida-pythonjob"
 [project.entry-points."aiida.data"]
 "pythonjob.pickled_data" = "aiida_pythonjob.data.pickled_data:PickledData"
 "pythonjob.pickled_function" = "aiida_pythonjob.data.pickled_function:PickledFunction"
+"pythonjob.ase.atoms.Atoms" = "aiida_pythonjob.data.atoms:AtomsData"
+"pythonjob.builtins.int" = "aiida.orm.nodes.data.int:Int"
+"pythonjob.builtins.float" = "aiida.orm.nodes.data.float:Float"
+"pythonjob.builtins.str" = "aiida.orm.nodes.data.str:Str"
+"pythonjob.builtins.bool" = "aiida.orm.nodes.data.bool:Bool"
+"pythonjob.builtins.list"="aiida_pythonjob.data.data_with_value:List"
+"pythonjob.builtins.dict"="aiida_pythonjob.data.data_with_value:Dict"
+
 
 [project.entry-points."aiida.calculations"]
 "pythonjob.pythonjob" = "aiida_pythonjob.calculations.pythonjob:PythonJob"

src/aiida_pythonjob/data/__init__.py

@@ -1,4 +1,5 @@
 from .pickled_data import PickledData
 from .pickled_function import PickledFunction
+from .serializer import general_serializer, serialize_to_aiida_nodes
 
-__all__ = ("PickledData", "PickledFunction")
+__all__ = ("PickledData", "PickledFunction", "serialize_to_aiida_nodes", "general_serializer")

src/aiida_pythonjob/data/atoms.py

@@ -0,0 +1,53 @@
+import numpy as np
+from aiida.orm import Data
+from ase import Atoms
+from ase.db.row import atoms2dict
+
+__all__ = ("AtomsData",)
+
+
+class AtomsData(Data):
+    """Data to represent a ASE Atoms."""
+
+    _cached_atoms = None
+
+    def __init__(self, value=None, **kwargs):
+        """Initialise a `AtomsData` node instance.
+
+        :param value: ASE Atoms instance to initialise the `AtomsData` node from
+        """
+        atoms = value or Atoms()
+        super().__init__(**kwargs)
+        data, keys = self.atoms2dict(atoms)
+        self.base.attributes.set_many(data)
+        self.base.attributes.set("keys", keys)
+
+    @classmethod
+    def atoms2dict(cls, atoms):
+        data = atoms2dict(atoms)
+        data.pop("unique_id")
+        keys = list(data.keys())
+        formula = atoms.get_chemical_formula()
+        data = cls._convert_numpy_to_native(data)
+        data["formula"] = formula
+        data["symbols"] = atoms.get_chemical_symbols()
+        return data, keys
+
+    @classmethod
+    def _convert_numpy_to_native(cls, data):
+        """Convert numpy types to Python native types for JSON compatibility."""
+        for key, value in data.items():
+            if isinstance(value, np.bool_):
+                data[key] = bool(value)
+            elif isinstance(value, np.ndarray):
+                data[key] = value.tolist()
+            elif isinstance(value, np.generic):
+                data[key] = value.item()
+        return data
+
+    @property
+    def value(self):
+        keys = self.base.attributes.get("keys")
+        data = self.base.attributes.get_many(keys)
+        data = dict(zip(keys, data))
+        return Atoms(**data)

src/aiida_pythonjob/data/data_with_value.py

@@ -0,0 +1,13 @@
+from aiida import orm
+
+
+class Dict(orm.Dict):
+    @property
+    def value(self):
+        return self.get_dict()
+
+
+class List(orm.List):
+    @property
+    def value(self):
+        return self.get_list()

src/aiida_pythonjob/data/pickled_data.py

@@ -7,18 +7,6 @@
 from aiida import orm
 
 
-class Dict(orm.Dict):
-    @property
-    def value(self):
-        return self.get_dict()
-
-
-class List(orm.List):
-    @property
-    def value(self):
-        return self.get_list()
-
-
 class PickledData(orm.Data):
     """Data to represent a pickled value using cloudpickle."""
 

tests/test_data.py

@@ -1,3 +1,4 @@
+import aiida
 from aiida_pythonjob import PickledFunction
 
 
@@ -21,3 +22,15 @@ def generate_structures(
         "builtins": {"list", "float"},
         "numpy": {"array"},
     }
+
+
+def test_python_job():
+    """Test a simple python node."""
+    from aiida_pythonjob.data.pickled_data import PickledData
+    from aiida_pythonjob.data.serializer import serialize_to_aiida_nodes
+
+    inputs = {"a": 1, "b": 2.0, "c": set()}
+    new_inputs = serialize_to_aiida_nodes(inputs)
+    assert isinstance(new_inputs["a"], aiida.orm.Int)
+    assert isinstance(new_inputs["b"], aiida.orm.Float)
+    assert isinstance(new_inputs["c"], PickledData)