refactor: rename new runtime as sandbox feature

api/models/__init__.py

@@ -109,6 +109,7 @@ from .workflow import (
     WorkflowRun,
     WorkflowType,
 )
+from .workflow_features import WorkflowFeature, WorkflowFeatures
 
 __all__ = [
     "APIBasedExtension",
@@ -202,6 +203,8 @@ __all__ = [
     "Workflow",
     "WorkflowAppLog",
     "WorkflowAppLogCreatedFrom",
+    "WorkflowFeature",
+    "WorkflowFeatures",
     "WorkflowNodeExecutionModel",
     "WorkflowNodeExecutionOffload",
     "WorkflowNodeExecutionTriggeredFrom",

api/models/workflow.py

@@ -37,13 +37,13 @@ from extensions.ext_storage import Storage
 from factories.variable_factory import TypeMismatchError, build_segment_with_type
 from libs.datetime_utils import naive_utc_now
 from libs.uuid_utils import uuidv7
+from models.workflow_features import WorkflowFeature, WorkflowFeatures
 
 from ._workflow_exc import NodeNotFoundError, WorkflowDataError
 
 if TYPE_CHECKING:
     from .model import AppMode, UploadFile
 
-
 from constants import DEFAULT_FILE_NUMBER_LIMITS, HIDDEN_VALUE
 from core.helper import encrypter
 from core.variables import SecretVariable, Segment, SegmentType, Variable
@@ -345,6 +345,9 @@ class Workflow(Base):  # bug
     def features_dict(self) -> dict[str, Any]:
         return json.loads(self.features) if self.features else {}
 
+    def get_feature(self, key: WorkflowFeatures) -> WorkflowFeature:
+        return WorkflowFeature.from_dict(self.features_dict.get(key.value))
+
     def walk_nodes(
         self, specific_node_type: NodeType | None = None
     ) -> Generator[tuple[str, Mapping[str, Any]], None, None]:

api/models/workflow_features.py

@@ -0,0 +1,26 @@
+from collections.abc import Mapping
+from dataclasses import dataclass
+from enum import StrEnum
+from typing import Any
+
+
+class WorkflowFeatures(StrEnum):
+    SANDBOX = "sandbox"
+    SPEECH_TO_TEXT = "speech_to_text"
+    TEXT_TO_SPEECH = "text_to_speech"
+    RETRIEVER_RESOURCE = "retriever_resource"
+    SENSITIVE_WORD_AVOIDANCE = "sensitive_word_avoidance"
+    FILE_UPLOAD = "file_upload"
+    SUGGESTED_QUESTIONS_AFTER_ANSWER = "suggested_questions_after_answer"
+
+
+@dataclass(frozen=True)
+class WorkflowFeature:
+    enabled: bool
+    config: Mapping[str, Any]
+
+    @classmethod
+    def from_dict(cls, data: Mapping[str, Any] | None) -> "WorkflowFeature":
+        if data is None or not isinstance(data, dict):
+            return cls(enabled=False, config={})
+        return cls(enabled=bool(data.get("enabled", False)), config=data)