[GENERATE] Pydantic models from JSON Schema

generated/python/datadoc_model/datadoc_model/model.py

@@ -1,6 +1,6 @@
 # generated by datamodel-codegen:
 #   filename:  metadata-container-json-schema.json
-#   timestamp: 2024-04-25T13:29:06+00:00
+#   timestamp: 2024-07-08T12:29:53+00:00
 
 from __future__ import annotations
 
@@ -67,6 +67,14 @@ class VariableRole(str, Enum):
     ATTRIBUTE = "ATTRIBUTE"
 
 
+class IsPersonalData(str, Enum):
+    NOT_PERSONAL_DATA = "NOT_PERSONAL_DATA"
+    PSEUDONYMISED_ENCRYPTED_PERSONAL_DATA = "PSEUDONYMISED_ENCRYPTED_PERSONAL_DATA"
+    NON_PSEUDONYMISED_ENCRYPTED_PERSONAL_DATA = (
+        "NON_PSEUDONYMISED_ENCRYPTED_PERSONAL_DATA"
+    )
+
+
 class SentinelValues(DatadocBaseModel):
     sentinel_value_uri: Optional[AnyUrl] = Field(
         None,
@@ -364,11 +372,7 @@ class Variable(DatadocBaseModel):
         description="A link (URI) to the variable's definition in Vardok/VarDef",
         title="Definition URI",
     )
-    direct_person_identifying: Optional[bool] = Field(
-        None,
-        description="Direct Person identifying Information (DPI). Some of the values \u200b\u200bin an instance variable kan be DPI, others not. In this case, DPI is set equal to true. For example, the variable exporter where some of the values \u200b\u200bcan be organization number, others social security numbers (sole proprietorships).",
-        title="Direct Person identifying Information (DPI)",
-    )
+    is_personal_data: Optional[IsPersonalData] = Field(None, description="", title="")
     data_source: Optional[str] = Field(
         None,
         description="Data source. Set at data set level, but can be overwritten at variable instance level.",