06f368ef0f21066ebac11fd2390d8321e4c1ddfa

Author: github-actions[bot]

docs/AnalysisReturn.md

@@ -22,6 +22,7 @@ Name | Type | Description | Notes
 **entities** | [**List[Entity]**](Entity.md) |  | [optional] 
 **order** | **int** |  | [optional] 
 **metadata** | **object** |  | [optional] 
+**source_id** | **str** | ID of the analysis this one was cloned from, if any. | [optional] [readonly] 
 **point_count** | **int** | Number of point coordinates linked to this analysis. | [optional] 
 **has_coordinates** | **bool** |  | [optional] 
 **has_images** | **bool** |  | [optional] 

neurostore_sdk/models/analysis_return.py

@@ -50,13 +50,14 @@ class AnalysisReturn(BaseModel):
     entities: Optional[List[Entity]] = None
     order: Optional[StrictInt] = None
     metadata: Optional[Dict[str, Any]] = None
+    source_id: Optional[StrictStr] = Field(default=None, description="ID of the analysis this one was cloned from, if any.")
     point_count: Optional[StrictInt] = Field(default=None, description="Number of point coordinates linked to this analysis.")
     has_coordinates: Optional[StrictBool] = None
     has_images: Optional[StrictBool] = None
     has_z_maps: Optional[StrictBool] = None
     has_t_maps: Optional[StrictBool] = None
     has_beta_and_variance_maps: Optional[StrictBool] = None
-    __properties: ClassVar[List[str]] = ["name", "description", "weights", "created_at", "updated_at", "id", "public", "user", "username", "study", "images", "points", "conditions", "table_id", "entities", "order", "metadata", "point_count", "has_coordinates", "has_images", "has_z_maps", "has_t_maps", "has_beta_and_variance_maps"]
+    __properties: ClassVar[List[str]] = ["name", "description", "weights", "created_at", "updated_at", "id", "public", "user", "username", "study", "images", "points", "conditions", "table_id", "entities", "order", "metadata", "source_id", "point_count", "has_coordinates", "has_images", "has_z_maps", "has_t_maps", "has_beta_and_variance_maps"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -91,6 +92,7 @@ def to_dict(self) -> Dict[str, Any]:
         * OpenAPI `readOnly` fields are excluded.
         * OpenAPI `readOnly` fields are excluded.
         * OpenAPI `readOnly` fields are excluded.
+        * OpenAPI `readOnly` fields are excluded.
         """
         excluded_fields: Set[str] = set([])
 
@@ -155,6 +157,11 @@ def to_dict(self) -> Dict[str, Any]:
         if self.metadata is None and "metadata" in self.model_fields_set:
             _dict['metadata'] = None
 
+        # set to None if source_id (nullable) is None
+        # and model_fields_set contains the field
+        if self.source_id is None and "source_id" in self.model_fields_set:
+            _dict['source_id'] = None
+
         # set to None if point_count (nullable) is None
         # and model_fields_set contains the field
         if self.point_count is None and "point_count" in self.model_fields_set:
@@ -189,6 +196,7 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "entities": [Entity.from_dict(_item) for _item in obj["entities"]] if obj.get("entities") is not None else None,
             "order": obj.get("order"),
             "metadata": obj.get("metadata"),
+            "source_id": obj.get("source_id"),
             "point_count": obj.get("point_count"),
             "has_coordinates": obj.get("has_coordinates"),
             "has_images": obj.get("has_images"),

test/test_analysis_return.py

@@ -60,6 +60,7 @@ def make_instance(self, include_optional) -> AnalysisReturn:
                     ],
                 order = 56,
                 metadata = neurostore_sdk.models.metadata.metadata(),
+                source_id = '',
                 point_count = 56,
                 has_coordinates = True,
                 has_images = True,