HJ-20 save data categories nested fields

CHANGELOG.md

@@ -16,6 +16,10 @@ The types of changes are:
 
 ## [Unreleased](https://github.com/ethyca/fideslang/compare/3.0.7...main)
 
+### Changed
+
+- Remove stipulation that sub fields (Field) of a Field object cannot have data categories assigned [#22](https://github.com/ethyca/fideslang/pull/22)
+
 
 ## [3.0.7](https://github.com/ethyca/fideslang/compare/3.0.6...3.0.7)
 

src/fideslang/default_fixtures.py

@@ -9,7 +9,6 @@
 2. Copy/Paste the JSON response below
 """
 
-
 COUNTRY_CODES = [
     {"name": "Afghanistan", "alpha3Code": "AFG"},
     {"name": "Åland Islands", "alpha3Code": "ALA"},

src/fideslang/default_taxonomy/__init__.py

@@ -7,8 +7,8 @@
 from .data_uses import DEFAULT_DATA_USES
 from .organizations import DEFAULT_ORGANIZATIONS
 
-sort_data_types = (
-    lambda x: x.parent_key if hasattr(x, "parent_key") and x.parent_key else x.fides_key
+sort_data_types = lambda x: (
+    x.parent_key if hasattr(x, "parent_key") and x.parent_key else x.fides_key
 )
 
 DEFAULT_TAXONOMY = Taxonomy(

src/fideslang/manifests.py

@@ -1,4 +1,5 @@
 """This module handles anything related to working with raw manifest files."""
+
 import glob
 from functools import reduce
 from typing import Dict, List, Set, Union

src/fideslang/models.py

@@ -478,7 +478,6 @@ def validate_object_fields(
     ) -> DatasetField:
         """Two validation checks for object fields:
         - If there are sub-fields specified, type should be either empty or 'object'
-        - Additionally object fields cannot have data_categories.
         """
         fields = self.fields
         declared_data_type = None
@@ -494,10 +493,6 @@ def validate_object_fields(
                     f"The data type '{data_type}' on field '{field_name}' is not compatible with specified sub-fields. Convert to an 'object' field."
                 )
 
-        if (fields or declared_data_type == "object") and self.data_categories:
-            raise ValueError(
-                f"Object field '{field_name}' cannot have specified data_categories. Specify category on sub-field instead"
-            )
         return self
 
 

src/fideslang/parse.py

@@ -2,6 +2,7 @@
 This module handles everything related to parsing resources into Pydantic models,
 either from local files or the server.
 """
+
 from typing import Dict, List
 
 from fideslang import FidesModel, Taxonomy, model_map

src/fideslang/validation.py

@@ -1,6 +1,7 @@
 """
 Contains all of the additional validation for the resource models.
 """
+
 import re
 from collections import Counter
 from typing import Annotated, Dict, List, Optional, Pattern, Set, Tuple

tests/conftest.py

@@ -1,4 +1,5 @@
 """Common fixtures to be used across tests."""
+
 import os
 from typing import Any, Dict
 

tests/fideslang/test_validation.py

@@ -717,59 +717,61 @@ def test_return_all_elements_on_array_field(self):
         )
 
     def test_data_categories_at_object_level(self):
-        with pytest.raises(ValidationError) as exc:
-            DatasetField(
-                name="test_field",
-                data_categories=["user"],
-                fides_meta=FidesMeta(
-                    references=None,
-                    identify=None,
-                    primary_key=False,
-                    data_type="object",
-                    length=None,
-                    return_all_elements=None,
-                    read_only=None,
-                ),
-                fields=[DatasetField(name="nested_field")],
-            )
-        assert_error_message_includes(
-            exc, "Object field 'test_field' cannot have specified data_categories"
-        )
 
-    def test_object_field_conflicting_types(self):
-        with pytest.raises(ValidationError) as exc:
-            DatasetField(
-                name="test_field",
-                data_categories=["user"],
-                fides_meta=FidesMeta(
-                    references=None,
-                    identify=None,
-                    primary_key=False,
-                    data_type="string",
-                    length=None,
-                    return_all_elements=None,
-                    read_only=None,
-                ),
-                fields=[DatasetField(name="nested_field")],
-            )
-        assert_error_message_includes(
-            exc, "The data type 'string' on field 'test_field' is not compatible with"
+        field = DatasetField(
+            name="test_field",
+            data_categories=["user"],
+            fides_meta=FidesMeta(
+                references=None,
+                identify=None,
+                primary_key=False,
+                data_type="object",
+                length=None,
+                return_all_elements=None,
+                read_only=None,
+            ),
+            fields=[DatasetField(name="nested_field")],
         )
 
+        assert field
+        assert field.data_categories == ["user"]
+        assert field.fides_meta.data_type == "object"
+
     def test_data_categories_on_nested_fields(self):
-        DatasetField(
-            name="test_field",
+
+        field = DatasetField(
+            name="test_for_nest",
+            data_categories=["user"],
             fides_meta=FidesMeta(
                 references=None,
                 identify=None,
                 primary_key=False,
                 data_type="object",
                 length=None,
+                return_all_elements=None,
                 read_only=None,
             ),
-            fields=[DatasetField(name="nested_field", data_categories=["user"])],
+            fields=[
+                DatasetField(
+                    name="nested_field",
+                    data_categories=["user"],
+                    fides_meta=FidesMeta(
+                        references=None,
+                        identify=None,
+                        primary_key=False,
+                        data_type="string",
+                        length=None,
+                        read_only=None,
+                        data_categories=["user"],
+                    ),
+                )
+            ],
         )
 
+        assert field
+        assert field.data_categories == ["user"]
+        assert field.fields[0].data_categories == ["user"]
+
 
 class TestCollectionMeta:
     def test_invalid_collection_key(self):
@@ -806,7 +808,6 @@ def test_erase_after(self):
         assert meta.erase_after == [FidesCollectionKey("test_dataset.test_collection")]
 
 
-
 class TestAnyUrlString:
     def test_valid_url(self):
         assert AnyUrlString("https://www.example.com/")