fix(scheduling): expose Strategy class

src/bentoml/__init__.py

@@ -17,71 +17,69 @@
 
 from typing import TYPE_CHECKING
 
-from ._internal.configuration import load_config
-from ._internal.configuration import save_config
 from ._internal.configuration import BENTOML_VERSION as __version__
-from ._internal.configuration import set_serialization_strategy
+from ._internal.configuration import (
+    load_config,
+    save_config,
+    set_serialization_strategy,
+)
 
 # Inject dependencies and configurations
 load_config()
 
-# Bento management APIs
-from .bentos import get
-from .bentos import list  # pylint: disable=W0622
-from .bentos import pull
-from .bentos import push
-from .bentos import serve
-from .bentos import delete
-from .bentos import export_bento
-from .bentos import import_bento
-
-# server API
-from .server import GrpcServer
-from .server import HTTPServer
-
-# BentoML built-in types
-from ._internal.tag import Tag
 from ._internal.bento import Bento
-from ._internal.models import Model
-from ._internal.runner import Runner
-from ._internal.runner import Runnable
+from ._internal.cloud import YataiClient
 from ._internal.context import ServiceContext as Context
-from ._internal.service import Service
+from ._internal.models import Model
 from ._internal.monitoring import monitor
-from ._internal.utils.http import Cookie
-from ._internal.cloud import YataiClient
+from ._internal.runner import Runnable, Runner
+from ._internal.runner.strategy import Strategy
+from ._internal.service import Service
 from ._internal.service.loader import load
 
+# BentoML built-in types
+from ._internal.tag import Tag
+from ._internal.utils.http import Cookie
+
+# Bento management APIs
+from .bentos import list  # pylint: disable=W0622
+from .bentos import delete, export_bento, get, import_bento, pull, push, serve
+
+# server API
+from .server import GrpcServer, HTTPServer
+
 # Framework specific modules, model management and IO APIs are lazily loaded upon import.
 if TYPE_CHECKING:
-    from . import h2o
-    from . import ray
-    from . import flax
-    from . import onnx
-    from . import gluon
-    from . import keras
-    from . import spacy
-    from . import fastai
-    from . import mlflow
-    from . import paddle
-    from . import triton
-    from . import easyocr
-    from . import pycaret
-    from . import pytorch
-    from . import sklearn
-    from . import xgboost
-    from . import catboost
-    from . import lightgbm
-    from . import onnxmlir
-    from . import detectron
-    from . import diffusers
-    from . import tensorflow
-    from . import statsmodels
-    from . import torchscript
-    from . import transformers
-    from . import tensorflow_v1
-    from . import picklable_model
-    from . import pytorch_lightning
+    from . import (
+        catboost,
+        detectron,
+        diffusers,
+        easyocr,
+        fastai,
+        flax,
+        gluon,
+        h2o,
+        keras,
+        lightgbm,
+        mlflow,
+        onnx,
+        onnxmlir,
+        paddle,
+        picklable_model,
+        pycaret,
+        pytorch,
+        pytorch_lightning,
+        ray,
+        sklearn,
+        spacy,
+        statsmodels,
+        tensorflow,
+        tensorflow_v1,
+        torchscript,
+        transformers,
+        triton,
+        xgboost,
+    )
 
     # isort: off
     from . import io
@@ -169,6 +167,7 @@
     "Runner",
     "Runnable",
     "monitoring",
+    "Strategy",
     "YataiClient",  # Yatai REST API Client
     # bento APIs
     "list",