[core][feat] Add kind description in multi tenant mode (#2204)

fixcore/fixcore/model/exportable_model.py

@@ -19,7 +19,6 @@ def json_export_simple_schema(
     with_properties: bool = True,
     with_relatives: bool = True,
     with_metadata: bool = True,
-    aggregate_roots_only: bool = False,
 ) -> List[Json]:
     def export_simple(kind: SimpleKind) -> Json:
         result = kind.as_json()

fixcore/fixcore/model/model_handler.py

@@ -256,7 +256,7 @@ def code_model() -> Model:
     The model is only loaded on demand and only once.
     """
     load_plugin_classes()
-    return Model.from_kinds([from_js(m, Kind) for m in export_model()])  # type: ignore
+    return Model.from_kinds([from_js(m, Kind) for m in export_model(with_kind_description=True)])  # type: ignore
 
 
 class ModelHandlerFromCodeAndDB(ModelHandlerDB):

fixlib/fixlib/core/model_export.py

@@ -150,7 +150,8 @@ def dataclasses_to_fixcore_model(
     aggregate_root: Optional[Type[Any]] = None,
     walk_subclasses: bool = True,
     use_optional_as_required: bool = False,
-    with_description: bool = True,
+    with_kind_description: bool = False,
+    with_prop_description: bool = False,
 ) -> List[Json]:
     """
     Analyze all transitive dataclasses and create the model
@@ -163,7 +164,8 @@ def dataclasses_to_fixcore_model(
     :param aggregate_root: if a type is a subtype of this type, it will be considered an aggregate root.
     :param walk_subclasses: if true, all subclasses of the given classes will be analyzed as well.
     :param use_optional_as_required: if true, all non-optional fields will be considered required.
-    :param with_description: if true, include the description for classes and properties.
+    :param with_kind_description: if true, include the description for classes.
+    :param with_prop_description: if true, include the description for properties.
     :return: the model definition in the fixcore json format.
     """
 
@@ -176,7 +178,7 @@ def prop(field: Attribute) -> List[Json]:  # type: ignore
         meta = field.metadata.copy()
         kind = meta.pop("type_hint", model_name(field.type))
         desc = meta.pop("description", None)
-        desc = desc if with_description else None
+        desc = desc if with_prop_description else None
         required = meta.pop("required", use_optional_as_required and not is_optional(field.type))  # type: ignore
         synthetic = meta.pop("synthetic", None)
         synthetic = synthetic if synthetic else {}
@@ -253,7 +255,13 @@ def export_data_class(clazz: type) -> None:
             metadata["service"] = s
         if (slc := getattr(clazz, "categories", None)) and callable(slc) and (sl := slc()):
             metadata["categories"] = sl
-        if with_description and (s := clazz.__dict__.get("kind_description", None)) and isinstance(s, str):
+        if (  # only export kind description on aggregate roots
+            with_kind_description
+            and (ar := aggregate_root)
+            and issubclass(clazz, ar)
+            and (s := clazz.__dict__.get("kind_description", None))
+            and isinstance(s, str)
+        ):
             metadata["description"] = s
 
         model.append(
@@ -293,9 +301,9 @@ def literal_name(en: Enum) -> str:
 # Use this model exporter, if a dynamic object is exported
 # with given name and properties.
 def dynamic_object_to_fixcore_model(
-    name: str, properties: Dict[str, type], aggregate_root: bool = True, traverse_dependant: bool = True
+    name: str, properties: Dict[str, type], aggregate_root: bool = True, traverse_dependant: bool = True, **kwargs: Any
 ) -> List[Json]:
-    dependant = dataclasses_to_fixcore_model(set(properties.values())) if traverse_dependant else []
+    dependant = dataclasses_to_fixcore_model(set(properties.values()), **kwargs) if traverse_dependant else []
     # append definition for top level object
     dependant.append(
         {

fixlib/fixlib/graph/__init__.py

@@ -398,7 +398,7 @@ def export_model(graph: Optional[Graph] = None, **kwargs: Any) -> List[Json]:
         for node in graph.nodes:
             classes.add(type(node))
 
-    model = resource_classes_to_fixcore_model(classes, aggregate_root=BaseResource, with_description=False, **kwargs)
+    model = resource_classes_to_fixcore_model(classes, aggregate_root=BaseResource, **kwargs)
     for resource_model in model:
         if resource_model.get("fqn") == "resource":
             resource_model.get("properties", []).append(

fixlib/test/core/model_export_test.py

@@ -125,7 +125,7 @@ def test_enum_to_model() -> None:
 
 
 def test_dataclasses_to_fixcore_model() -> None:
-    result = dataclasses_to_fixcore_model({DataClassExample})
+    result = dataclasses_to_fixcore_model({DataClassExample}, with_kind_description=True, with_prop_description=True)
     assert len(result) == 5
     for r in result:
         props = {p["name"]: p for p in r.get("properties", [])}
@@ -187,7 +187,12 @@ class GcpTestConfigConfig:
 def test_config_export():
     # Let's assume a dynamic top level object of name Config
     # The properties are defined by name and related type.
-    result = dynamic_object_to_fixcore_model("config", {"aws": AwsTestConfig, "gcp": GcpTestConfigConfig})
+    result = dynamic_object_to_fixcore_model(
+        "config",
+        {"aws": AwsTestConfig, "gcp": GcpTestConfigConfig},
+        with_kind_description=True,
+        with_prop_description=True,
+    )
     result_dict = {a["fqn"]: a for a in result}
     assert len(result_dict["gcp_config"]["properties"]) == 1
     assert len(result_dict["aws_config"]["properties"]) == 2