refactor: Update default prompt input types in PromptField

src/backend/base/langflow/components/experimental/TextOperator.py

@@ -1,92 +0,0 @@
-from langflow.custom import Component
-from langflow.field_typing import Text
-from langflow.inputs import BoolInput, DropdownInput, TextInput
-from langflow.template import Output
-
-
-class TextOperatorComponent(Component):
-    display_name = "Text Operator"
-    description = "Compares two text inputs based on a specified condition such as equality or inequality, with optional case sensitivity."
-    icon = "equal"
-
-    inputs = [
-        TextInput(
-            name="input_text",
-            display_name="Input Text",
-            info="The primary text input for the operation.",
-        ),
-        TextInput(
-            name="match_text",
-            display_name="Match Text",
-            info="The text input to compare against.",
-        ),
-        DropdownInput(
-            name="operator",
-            display_name="Operator",
-            options=["equals", "not equals", "contains", "starts with", "ends with"],
-            info="The operator to apply for comparing the texts.",
-        ),
-        BoolInput(
-            name="case_sensitive",
-            display_name="Case Sensitive",
-            info="If true, the comparison will be case sensitive.",
-            value=False,
-            advanced=True,
-        ),
-        TextInput(
-            name="true_output",
-            display_name="True Output",
-            info="The output to return or display when the comparison is true.",
-            advanced=True,
-        ),
-        TextInput(
-            name="false_output",
-            display_name="False Output",
-            info="The output to return or display when the comparison is false.",
-            advanced=True,
-        ),
-    ]
-
-    outputs = [
-        Output(display_name="True Result", name="true_result", method="true_response"),
-        Output(display_name="False Result", name="false_result", method="false_response"),
-    ]
-
-    def evaluate_condition(self, input_text: str, match_text: str, operator: str, case_sensitive: bool) -> bool:
-        if not case_sensitive:
-            input_text = input_text.lower()
-            match_text = match_text.lower()
-
-        if operator == "equals":
-            return input_text == match_text
-        elif operator == "not equals":
-            return input_text != match_text
-        elif operator == "contains":
-            return match_text in input_text
-        elif operator == "starts with":
-            return input_text.startswith(match_text)
-        elif operator == "ends with":
-            return input_text.endswith(match_text)
-        return False
-
-    def true_response(self) -> Text:
-        result = self.evaluate_condition(self.input_text, self.match_text, self.operator, self.case_sensitive)
-        if result:
-            self.stop("false_result")
-            response = self.true_output if self.true_output else self.input_text
-            self.status = response
-            return response
-        else:
-            self.stop("true_result")
-            return ""
-
-    def false_response(self) -> Text:
-        result = self.evaluate_condition(self.input_text, self.match_text, self.operator, self.case_sensitive)
-        if not result:
-            self.stop("true_result")
-            response = self.false_output if self.false_output else self.input_text
-            self.status = response
-            return response
-        else:
-            self.stop("false_result")
-            return ""

src/backend/base/langflow/components/experimental/__init__.py

@@ -12,10 +12,12 @@ from .RunnableExecutor import RunnableExecComponent
 from .SplitText import SplitTextComponent
 from .SQLExecutor import SQLExecutorComponent
 from .SubFlow import SubFlowComponent
+from .ConditionalRouter import ConditionalRouterComponent
 
 __all__ = [
     "AgentComponent",
     "ClearMessageHistoryComponent",
+    "ConditionalRouterComponent",
     "ExtractKeyFromDataComponent",
     "FlowToolComponent",
     "ListenComponent",

src/backend/base/langflow/components/helpers/FilterData.py

@@ -1,7 +1,7 @@
 from typing import List
 
 from langflow.custom import Component
-from langflow.inputs import HandleInput, TextInput
+from langflow.inputs import DataInput, TextInput
 from langflow.schema import Data
 from langflow.template import Output
 
@@ -12,11 +12,10 @@ class FilterDataComponent(Component):
     icon = "filter"
 
     inputs = [
-        HandleInput(
+        DataInput(
             name="data",
             display_name="Data",
             info="Data object to filter.",
-            input_types=["Message", "Data"],
         ),
         TextInput(
             name="filter_criteria",

src/backend/base/langflow/components/helpers/Memory.py

@@ -1,11 +1,11 @@
 from typing import List
 
 from langflow.custom import Component
-from langflow.field_typing import Text
 from langflow.inputs import DropdownInput, IntInput, TextInput
 from langflow.memory import get_messages
 from langflow.schema import Data
 from langflow.template import Output
+from langflow.schema.message import Message
 
 
 class MemoryComponent(Component):
@@ -52,11 +52,11 @@ class MemoryComponent(Component):
     ]
 
     outputs = [
-        Output(display_name="Messages", name="messages", method="retrieve_messages"),
+        Output(display_name="Message Data", name="messages", method="retrieve_messages"),
-        Output(display_name="Text", name="messages_text", method="retrieve_messages_as_text"),
+        Output(display_name="Parsed", name="messages_text", method="retrieve_messages_as_text"),
     ]
 
-    def retrieve_messages(self) -> List[Data]:
+    def retrieve_messages(self) -> Data:
         sender = self.sender
         sender_name = self.sender_name
         session_id = self.session_id
@@ -76,10 +76,10 @@ class MemoryComponent(Component):
         self.status = messages
         return messages
 
-    def retrieve_messages_as_text(self) -> Text:
+    def retrieve_messages_as_text(self) -> Message:
         messages = self.retrieve_messages()
         messages_text = "\n".join(
             [f"{message.data.get('sender_name')}: {message.data.get('text')}" for message in messages]
         )
         self.status = messages_text
-        return Text(messages_text)
+        return Message(text=messages_text)

src/backend/base/langflow/components/helpers/ParseData.py

@@ -1,8 +1,8 @@
 from langflow.custom import Component
 from langflow.helpers.data import data_to_text
-from langflow.field_typing import Text
+from langflow.inputs import MultilineInput, DataInput
-from langflow.inputs import MultilineInput, HandleInput
 from langflow.template import Output
+from langflow.schema.message import Message
 
 
 class ParseDataComponent(Component):
@@ -11,22 +11,23 @@ class ParseDataComponent(Component):
     icon = "braces"
 
     inputs = [
-        HandleInput(name="data", display_name="Data", info="The data to convert to text.", input_types=["Data"]),
+        DataInput(name="data", display_name="Data", info="The data to convert to text."),
         MultilineInput(
             name="template",
             display_name="Template",
             info="The template to use for formatting the data. It can contain the keys {text}, {data} or any other key in the Data.",
+            value="{text}"
         ),
     ]
 
     outputs = [
-        Output(display_name="Text", name="text", method="parse_data_to_text"),
+        Output(display_name="Text", name="text", method="parse_data"),
     ]
 
-    def parse_data_to_text(self) -> Text:
+    def parse_data(self) -> Message:
         data = self.data if isinstance(self.data, list) else [self.data]
         template = self.template
 
         result_string = data_to_text(template, data)
         self.status = result_string
-        return result_string
+        return Message(text=result_string)

src/backend/base/langflow/template/field/prompt.py

@@ -2,7 +2,7 @@ from typing import Optional
 
 from langflow.template.field.base import Input
 
-DEFAULT_PROMPT_INTUT_TYPES = ["Document", "Message", "Data", "Text"]
+DEFAULT_PROMPT_INTUT_TYPES = ["Message", "Text"]
 
 
 class DefaultPromptField(Input):