refac: align with the module structure

src/backend/langflow/template/base.py

@@ -0,0 +1,63 @@
+from pydantic import BaseModel
+
+
+from typing import Any, Union
+
+
+class Field(BaseModel):
+    field_type: str = "str"
+    required: bool = False
+    placeholder: str = ""
+    is_list: bool = False
+    show: bool = True
+    multiline: bool = False
+    value: Any = None
+    suffixes: list[str] = []
+    file_types: list[str] = []
+    content: Union[str, None] = None
+    password: bool = False
+    # _name will be used to store the name of the field
+    # in the template
+    name: str = ""
+
+    def to_dict(self):
+        result = self.dict()
+        # Remove key if it is None
+        for key in list(result.keys()):
+            if result[key] is None or result[key] == []:
+                del result[key]
+        result["type"] = result.pop("field_type")
+        result["list"] = result.pop("is_list")
+
+        if result.get("file_types"):
+            result["fileTypes"] = result.pop("file_types")
+
+        if self.field_type == "file":
+            result["content"] = self.content
+        return result
+
+
+class Template(BaseModel):
+    type_name: str
+    fields: list[Field]
+
+    def to_dict(self):
+        result = {field.name: field.to_dict() for field in self.fields}
+        result["_type"] = self.type_name  # type: ignore
+        return result
+
+
+class FrontendNode(BaseModel):
+    template: Template
+    description: str
+    base_classes: list
+    name: str = ""
+
+    def to_dict(self):
+        return {
+            self.name: {
+                "template": self.template.to_dict(),
+                "description": self.description,
+                "base_classes": self.base_classes,
+            }
+        }

src/backend/langflow/template/nodes.py

@@ -1,4 +1,5 @@
-from langflow.template.template import Field, FrontendNode, Template
+from langflow.template.base import Field, Template
+from langflow.template.base import FrontendNode
 from langchain.agents.mrkl import prompt
 from langflow.utils.constants import DEFAULT_PYTHON_FUNCTION