Made kwargs default value persistent in the Hub

giskard/core/core.py

@@ -169,26 +169,27 @@ def __init__(
             self.tags = self.populate_tags(tags)
 
             parameters = self.extract_parameters(callable_obj)
+            for param in parameters:
+                param.default = serialize_parameter(param.default)
 
-            self.args = {
-                parameter.name: FunctionArgument(
-                    name=parameter.name,
-                    type=extract_optional(parameter.annotation).__qualname__,
-                    optional=parameter.default != inspect.Parameter.empty,
-                    default=serialize_parameter(parameter.default),
-                    argOrder=idx,
-                )
-                for idx, parameter in enumerate(parameters.values())
-                if name != "self"
-            }
+            self.args = {param.name: param for param in parameters}
 
-    def extract_parameters(self, callable_obj):
+    def extract_parameters(self, callable_obj) -> List[FunctionArgument]:
         if inspect.isclass(callable_obj):
             parameters = list(inspect.signature(callable_obj.__init__).parameters.values())[1:]
         else:
             parameters = list(inspect.signature(callable_obj).parameters.values())
 
-        return parameters
+        return [
+            FunctionArgument(
+                name=parameter.name,
+                type=extract_optional(parameter.annotation).__qualname__,
+                optional=parameter.default != inspect.Parameter.empty,
+                default=parameter.default,
+                argOrder=idx,
+            )
+            for idx, parameter in enumerate(parameters)
+        ]
 
     @staticmethod
     def extract_module_doc(func_doc):
@@ -293,10 +294,8 @@ def __init__(
         super().__init__(callable_obj, name, tags, version, type)
         self.debug_description = debug_description
 
-    def extract_parameters(self, callable_obj):
-        parameters = unknown_annotations_to_kwargs(CallableMeta.extract_parameters(self, callable_obj))
-
-        return {p.name: p for p in parameters}
+    def extract_parameters(self, callable_obj) -> List[FunctionArgument]:
+        return unknown_annotations_to_kwargs(CallableMeta.extract_parameters(self, callable_obj))
 
     def to_json(self):
         json = super().to_json()
@@ -346,10 +345,8 @@ def __init__(
         else:
             self.column_type = None
 
-    def extract_parameters(self, callable_obj):
-        parameters = unknown_annotations_to_kwargs(CallableMeta.extract_parameters(self, callable_obj)[1:])
-
-        return {p.name: p for p in parameters}
+    def extract_parameters(self, callable_obj) -> List[FunctionArgument]:
+        return unknown_annotations_to_kwargs(CallableMeta.extract_parameters(self, callable_obj)[1:])
 
     def to_json(self):
         json = super().to_json()
@@ -373,25 +370,37 @@ def init_from_json(self, json: Dict[str, Any]):
 SMT = TypeVar("SMT", bound=SavableMeta)
 
 
-def unknown_annotations_to_kwargs(parameters: List[inspect.Parameter]) -> List[inspect.Parameter]:
+def unknown_annotations_to_kwargs(parameters: List[FunctionArgument]) -> List[FunctionArgument]:
     from giskard.models.base import BaseModel
     from giskard.datasets.base import Dataset
     from giskard.ml_worker.testing.registry.slicing_function import SlicingFunction
     from giskard.ml_worker.testing.registry.transformation_function import TransformationFunction
 
     allowed_types = [str, bool, int, float, BaseModel, Dataset, SlicingFunction, TransformationFunction]
-    allowed_types = allowed_types + list(map(lambda x: Optional[x], allowed_types))
+    allowed_types = list(map(lambda x: x.__qualname__, allowed_types))
 
-    has_kwargs = any(
-        [param for param in parameters if not any([param.annotation == allowed_type for allowed_type in allowed_types])]
-    )
+    kwargs = [param for param in parameters if not any([param.type == allowed_type for allowed_type in allowed_types])]
 
-    parameters = [
-        param for param in parameters if any([param.annotation == allowed_type for allowed_type in allowed_types])
-    ]
+    parameters = [param for param in parameters if any([param.type == allowed_type for allowed_type in allowed_types])]
 
-    if has_kwargs:
-        parameters.append(inspect.Parameter(name="kwargs", kind=4, annotation=Kwargs))
+    for idx, parameter in enumerate(parameters):
+        parameter.argOrder = idx
+
+    if any(kwargs) > 0:
+        kwargs_with_default = [param for param in kwargs if param.default != inspect.Parameter.empty]
+        default_value = (
+            dict({param.name: param.default for param in kwargs_with_default}) if any(kwargs_with_default) else None
+        )
+
+        parameters.append(
+            FunctionArgument(
+                name="kwargs",
+                type="Kwargs",
+                default=default_value,
+                optional=len(kwargs_with_default) == len(kwargs),
+                argOrder=len(parameters),
+            )
+        )
 
     return parameters
 

giskard/testing/tests/performance.py

@@ -1,7 +1,8 @@
 """Performance tests"""
-import inspect
 from typing import Optional
 
+import inspect
+
 import numpy as np
 import pandas as pd
 from sklearn.metrics import (
@@ -22,7 +23,10 @@
 from giskard.ml_worker.testing.utils import Direction, check_slice_not_empty
 from giskard.models.base import BaseModel
 from giskard.models.utils import np_type_to_native
-from giskard.testing.tests.debug_slicing_functions import incorrect_rows_slicing_fn, nlargest_abs_err_rows_slicing_fn
+from giskard.testing.tests.debug_slicing_functions import (
+    incorrect_rows_slicing_fn,
+    nlargest_abs_err_rows_slicing_fn,
+)
 
 from . import debug_description_prefix, debug_prefix
 
@@ -149,11 +153,11 @@ def _test_diff_prediction(
             " reference_dataset is equal to zero"
         )
 
-    if direction == Direction.Invariant:
+    if direction == Direction.Invariant or direction == Direction.Invariant.value:
         passed = abs(rel_change) < threshold
-    elif direction == Direction.Decreasing:
+    elif direction == Direction.Decreasing or direction == Direction.Decreasing.value:
         passed = rel_change < threshold
-    elif direction == Direction.Increasing:
+    elif direction == Direction.Increasing or direction == Direction.Increasing.value:
         passed = rel_change > threshold
     else:
         raise ValueError(f"Invalid direction: {direction}")

giskard/utils/artifacts.py

@@ -1,6 +1,7 @@
 import inspect
 import uuid
-from typing import Any, Optional, Union
+from enum import Enum
+from typing import Any, Optional, Union, Dict
 
 try:
     from types import NoneType
@@ -18,13 +19,23 @@ def _serialize_artifact(artifact, artifact_uuid: Optional[Union[str, uuid.UUID]]
     return str(artifact_uuid)
 
 
+def repr_parameter(value: Any) -> str:
+    if isinstance(value, Enum):
+        return repr(value.value)
+
+    return repr(value)
+
+
 def serialize_parameter(default_value: Any) -> PRIMITIVES:
     if default_value == inspect.Parameter.empty:
         return None
 
     if isinstance(default_value, PRIMITIVES.__args__):
         return default_value
 
+    if isinstance(default_value, Dict):
+        return "\n".join(f"kwargs[{repr(key)}] = {repr_parameter(value)}" for key, value in default_value.items())
+
     from ..ml_worker.core.savable import Artifact
 
     if isinstance(default_value, Artifact):