b03471b36b16a108474640fde11895187ad23408

Author: github-actions[bot]

docs/AnalysisReturn.md

@@ -24,6 +24,7 @@ Name | Type | Description | Notes
 **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] 
+**image_count** | **int** | Number of images linked to this analysis. | [optional] 
 **has_coordinates** | **bool** |  | [optional] 
 **has_images** | **bool** |  | [optional] 
 **has_z_maps** | **bool** |  | [optional] 

neurostore_sdk/models/analysis_return.py

@@ -52,12 +52,13 @@ class AnalysisReturn(BaseModel):
     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.")
+    image_count: Optional[StrictInt] = Field(default=None, description="Number of images 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", "source_id", "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", "image_count", "has_coordinates", "has_images", "has_z_maps", "has_t_maps", "has_beta_and_variance_maps"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -167,6 +168,11 @@ def to_dict(self) -> Dict[str, Any]:
         if self.point_count is None and "point_count" in self.model_fields_set:
             _dict['point_count'] = None
 
+        # set to None if image_count (nullable) is None
+        # and model_fields_set contains the field
+        if self.image_count is None and "image_count" in self.model_fields_set:
+            _dict['image_count'] = None
+
         return _dict
 
     @classmethod
@@ -198,6 +204,7 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "metadata": obj.get("metadata"),
             "source_id": obj.get("source_id"),
             "point_count": obj.get("point_count"),
+            "image_count": obj.get("image_count"),
             "has_coordinates": obj.get("has_coordinates"),
             "has_images": obj.get("has_images"),
             "has_z_maps": obj.get("has_z_maps"),

test/test_analysis_return.py

@@ -62,6 +62,7 @@ def make_instance(self, include_optional) -> AnalysisReturn:
                 metadata = neurostore_sdk.models.metadata.metadata(),
                 source_id = '',
                 point_count = 56,
+                image_count = 56,
                 has_coordinates = True,
                 has_images = True,
                 has_z_maps = True,