change api paths

Author: jihan-yin

nucleus/__init__.py

@@ -1206,34 +1206,34 @@ def delete_custom_index(self, dataset_id: str):
             requests_command=requests.delete,
         )
 
-    def toggle_continuous_indexing(self, dataset_id: str, enable: bool = True):
+    def set_continuous_indexing(self, dataset_id: str, enable: bool = True):
         """
-        Toggles continuous indexing for a given dataset, which will automatically generate embeddings whenever
-        new images are uploaded. This endpoint is currently locked for most users. Please contact the nucleus team if
-        you wish to use this endpoint.
+        Sets continuous indexing for a given dataset, which will automatically generate embeddings whenever
+        new images are uploaded. This endpoint is currently only enabled for enterprise customers.
+        Please reach out to nucleus@scale.com if you wish to learn more.
 
         :param
         dataset_id: id of dataset that continuous indexing is being toggled for
         enable: boolean, sets whether we are enabling or disabling continuous indexing. The default behavior is to enable.
         """
         return self.make_request(
             {INDEX_CONTINUOUS_ENABLE_KEY: enable},
-            f"indexing/{dataset_id}/toggleContinuous",
+            f"indexing/{dataset_id}/setContinuous",
             requests_command=requests.post,
         )
 
-    def kickoff_image_indexing(self, dataset_id: str, enable: bool = True):
+    def create_image_index(self, dataset_id: str):
         """
-        Starts indexing generating embeddings for images without embeddings in a given dataset. These embeddings will
-        be used for autotag and similarity search. This endpoint is currently locked for most users.
-        Please contact the nucleus team if you wish to use this endpoint.
+        Starts generating embeddings for images that don't have embeddings in a given dataset. These embeddings will
+        be used for autotag and similarity search. This endpoint is currently only enabled for enterprise customers.
+        Please reach out to nucleus@scale.com if you wish to learn more.
 
         :param
         dataset_id: id of dataset for generating embeddings on.
         """
         return self.make_request(
             {},
-            f"indexing/{dataset_id}/kickoffImage",
+            f"indexing/{dataset_id}/internal/image",
             requests_command=requests.post,
         )
 

nucleus/dataset.py

@@ -376,11 +376,11 @@ def create_custom_index(self, embeddings_urls: list, embedding_dim: int):
     def delete_custom_index(self):
         return self._client.delete_custom_index(self.id)
 
-    def toggle_continuous_indexing(self, enable: bool = True):
-        return self._client.toggle_continuous_indexing(self.id, enable)
+    def set_continuous_indexing(self, enable: bool = True):
+        return self._client.set_continuous_indexing(self.id, enable)
 
-    def kickoff_image_indexing(self):
-        return self._client.kickoff_image_indexing(self.id)
+    def create_image_index(self):
+        return self._client.create_image_index(self.id)
 
     def check_index_status(self, job_id: str):
         return self._client.check_index_status(job_id)