[AINode] Fix built-in model inference & support user parameters

iotdb-core/ainode/ainode/core/manager/inference_manager.py

@@ -84,7 +84,7 @@ def infer(self, full_data, predict_length=96, **_):
 
 
 class BuiltInStrategy(InferenceStrategy):
-    def infer(self, full_data, **_):
+    def infer(self, full_data):
         data = pd.DataFrame(full_data[1]).T
         output = self.model.inference(data)
         df = pd.DataFrame(output)
@@ -121,20 +121,19 @@ def infer(self, full_data, window_interval=None, window_step=None, **kwargs):
         return [convert_to_binary(df) for df in results]
 
 
-def _get_strategy(model_id, model):
-    if isinstance(model, TimerForPrediction):
-        return TimerXLStrategy(model)
-    if isinstance(model, SundialForPrediction):
-        return SundialStrategy(model)
-    if model_id.startswith("_"):
-        return BuiltInStrategy(model)
-    return RegisteredStrategy(model)
-
-
 class InferenceManager:
     def __init__(self, model_manager: ModelManager):
         self.model_manager = model_manager
 
+    def _get_strategy(self, model_id, model):
+        if isinstance(model, TimerForPrediction):
+            return TimerXLStrategy(model)
+        if isinstance(model, SundialForPrediction):
+            return SundialStrategy(model)
+        if self.model_manager.model_storage._is_built_in(model_id):
+            return BuiltInStrategy(model)
+        return RegisteredStrategy(model)
+
     def _run(
         self,
         req,
@@ -156,11 +155,11 @@ def _run(
 
             # load model
             accel = str(inference_attrs.get("acceleration", "")).lower() == "true"
-            model = self.model_manager.load_model(model_id, accel)
+            model = self.model_manager.load_model(model_id, inference_attrs, accel)
 
             # inference by strategy
-            strategy = _get_strategy(model_id, model)
-            outputs = strategy.infer(full_data, **inference_attrs)
+            strategy = self._get_strategy(model_id, model)
+            outputs = strategy.infer(full_data)
 
             # construct response
             status = get_status(TSStatusCode.SUCCESS_STATUS)

iotdb-core/ainode/ainode/core/manager/model_manager.py

@@ -15,7 +15,7 @@
 # specific language governing permissions and limitations
 # under the License.
 #
-from typing import Callable
+from typing import Callable, Dict
 
 from torch import nn
 from yaml import YAMLError
@@ -97,13 +97,17 @@ def delete_model(self, req: TDeleteModelReq) -> TSStatus:
             logger.warning(e)
             return get_status(TSStatusCode.AINODE_INTERNAL_ERROR, str(e))
 
-    def load_model(self, model_id: str, acceleration: bool = False) -> Callable:
+    def load_model(
+        self, model_id: str, inference_attrs: Dict[str, str], acceleration: bool = False
+    ) -> Callable:
         """
         Load the model with the given model_id.
         """
         logger.info(f"Load model {model_id}")
         try:
-            model = self.model_storage.load_model(model_id, acceleration)
+            model = self.model_storage.load_model(
+                model_id, inference_attrs, acceleration
+            )
             logger.info(f"Model {model_id} loaded")
             return model
         except Exception as e:

iotdb-core/ainode/ainode/core/model/built_in_model_factory.py

@@ -123,7 +123,9 @@ def get_model_attributes(model_type: BuiltInModelType):
     return attribute_map
 
 
-def fetch_built_in_model(model_type: BuiltInModelType, model_dir) -> Callable:
+def fetch_built_in_model(
+    model_type: BuiltInModelType, model_dir, inference_attrs: Dict[str, str]
+) -> Callable:
     """
     Fetch the built-in model according to its id and directory, not that this directory only contains model weights and config.
     Args:
@@ -132,7 +134,9 @@ def fetch_built_in_model(model_type: BuiltInModelType, model_dir) -> Callable:
     Returns:
         model: the built-in model
     """
-    attributes = get_model_attributes(model_type)
+    default_attributes = get_model_attributes(model_type)
+    # parse the attributes from inference_attrs
+    attributes = parse_attribute(inference_attrs, default_attributes)
 
     # build the built-in model
     if model_type == BuiltInModelType.ARIMA:

iotdb-core/ainode/ainode/core/model/model_storage.py

@@ -262,7 +262,9 @@ def _is_built_in(self, model_id: str) -> bool:
             or self._model_info_map[model_id].category == ModelCategory.FINE_TUNED
         )
 
-    def load_model(self, model_id: str, acceleration: bool) -> Callable:
+    def load_model(
+        self, model_id: str, inference_attrs: Dict[str, str], acceleration: bool
+    ) -> Callable:
         """
         Load a model with automatic detection of .safetensors or .pt format
 
@@ -275,6 +277,7 @@ def load_model(self, model_id: str, acceleration: bool) -> Callable:
                 return fetch_built_in_model(
                     get_built_in_model_type(self._model_info_map[model_id].model_type),
                     model_dir,
+                    inference_attrs,
                 )
             else:
                 # load the user-defined model