refactor: expose a public custom-weights packaging helper

roboflow/core/version.py

@@ -34,8 +34,8 @@
 from roboflow.models.vlm import VLMModel
 from roboflow.util.annotations import amend_data_yaml
 from roboflow.util.general import extract_zip, write_line
-from roboflow.util.model_processor import process, validate_model_type_for_project
-from roboflow.util.versions import get_model_format, get_wrong_dependencies_versions, normalize_yolo_model_type
+from roboflow.util.model_processor import package_custom_weights_interactive, validate_model_type_for_project
+from roboflow.util.versions import get_model_format, get_wrong_dependencies_versions
 
 if TYPE_CHECKING:
     import numpy as np
@@ -497,14 +497,10 @@ def deploy(self, model_type: str, model_path: str, filename: str = "weights/best
             model_path (str): File path to the model weights to be uploaded.
             filename (str, optional): The name of the weights file. Defaults to "weights/best.pt".
         """
-        model_type = normalize_yolo_model_type(model_type)
-        zip_file_name, model_type = process(model_type, model_path, filename)
+        bundle = package_custom_weights_interactive(model_type, model_path, filename, build_dir=model_path)
 
-        if zip_file_name is None:
-            raise RuntimeError("Failed to process model")
-
-        self._validate_against_project_type(model_type)
-        self._upload_zip(model_type, model_path, zip_file_name)
+        self._validate_against_project_type(bundle.model_type)
+        self._upload_zip(bundle.model_type, model_path, bundle.archive_path.name)
 
     def _validate_against_project_type(self, model_type: str) -> None:
         validate_model_type_for_project(model_type, self.type, self.project)

roboflow/core/workspace.py

@@ -787,8 +787,10 @@ def deploy_model(
             filename (str, optional): The name of the weights file. Defaults to "weights/best.pt".
         """
 
-        from roboflow.util.model_processor import process, validate_model_type_for_project
-        from roboflow.util.versions import normalize_yolo_model_type
+        from roboflow.util.model_processor import (
+            package_custom_weights_interactive,
+            validate_model_type_for_project,
+        )
 
         if not project_ids:
             raise ValueError("At least one project ID must be provided")
@@ -800,16 +802,12 @@ def deploy_model(
             if project_id not in projects_by_id:
                 raise ValueError(f"Project {project_id} is not accessible in this workspace")
 
-        model_type = normalize_yolo_model_type(model_type)
-        zip_file_name, model_type = process(model_type, model_path, filename)
-
-        if zip_file_name is None:
-            raise RuntimeError("Failed to process model")
+        bundle = package_custom_weights_interactive(model_type, model_path, filename, build_dir=model_path)
 
         for project_id in project_ids:
-            validate_model_type_for_project(model_type, projects_by_id[project_id].get("type", ""), project_id)
+            validate_model_type_for_project(bundle.model_type, projects_by_id[project_id].get("type", ""), project_id)
 
-        self._upload_zip(model_type, model_path, project_ids, model_name, zip_file_name)
+        self._upload_zip(bundle.model_type, model_path, project_ids, model_name, bundle.archive_path.name)
 
     def _upload_zip(
         self,