Merge branch 'two_edges' of https://github.com/langflow-ai/langflow into two_edges

src/backend/base/langflow/components/inputs/TextInput.py

@@ -4,7 +4,7 @@ from langflow.inputs import MultilineInput, StrInput
 from langflow.template import Output
 
 
-class TextInput(TextComponent):
+class TextInputComponent(TextComponent):
     display_name = "Text Input"
     description = "Get text inputs from the Playground."
     icon = "type"

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

@@ -1,4 +1,4 @@
 from .ChatInput import ChatInput
-from .TextInput import TextInput
+from .TextInput import TextInputComponent
 
-__all__ = ["ChatInput", "TextInput"]
+__all__ = ["ChatInput", "TextInputComponent"]

src/backend/base/langflow/components/outputs/TextOutput.py

@@ -3,7 +3,7 @@ from langflow.field_typing import Text
 from langflow.template import Input, Output
 
 
-class TextOutput(TextComponent):
+class TextOutputComponent(TextComponent):
     display_name = "Text Output"
     description = "Display a text output in the Playground."
     icon = "type"

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

@@ -1,4 +1,4 @@
 from .ChatOutput import ChatOutput
-from .TextOutput import TextOutput
+from .TextOutput import TextOutputComponent
 
-__all__ = ["ChatOutput", "TextOutput"]
+__all__ = ["ChatOutput", "TextOutputComponent"]

src/backend/base/langflow/custom/custom_component/component.py

@@ -1,25 +1,17 @@
 import inspect
-from typing import (
-    TYPE_CHECKING,
-    AsyncIterator,
-    Awaitable,
-    Callable,
-    ClassVar,
-    Generator,
-    Iterator,
-    List,
-    Optional,
-    Union,
-)
+from typing import AsyncIterator, Awaitable, Callable, ClassVar, Generator, Iterator, List, Optional, Union
 from uuid import UUID
 
 import yaml
+from git import TYPE_CHECKING
 from loguru import logger
 from pydantic import BaseModel
 
+from langflow.inputs.inputs import InputTypes
 from langflow.schema.artifact import get_artifact_type, post_process_raw
 from langflow.schema.data import Data
 from langflow.template.field.base import UNDEFINED, Input, Output
+from langflow.utils.util import is_class_method
 
 from .custom_component import CustomComponent
 
@@ -36,7 +28,6 @@ def recursive_serialize_or_str(obj):
         elif isinstance(obj, BaseModel):
             return {k: recursive_serialize_or_str(v) for k, v in obj.model_dump().items()}
         elif isinstance(obj, (AsyncIterator, Generator, Iterator)):
-            # Turn it into something readable that does not
             # contain memory addresses
             # without consuming the iterator
             # return list(obj) consumes the iterator
@@ -49,13 +40,35 @@ def recursive_serialize_or_str(obj):
 
 
 class Component(CustomComponent):
-    inputs: Optional[List[Input]] = None
+    inputs: Optional[List[InputTypes]] = None
     outputs: Optional[List[Output]] = None
     code_class_base_inheritance: ClassVar[str] = "Component"
     _results: dict = {}
     _arguments: dict = {}
+    _inputs: dict[str, InputTypes] = {}
+
+    def __init__(self, **data):
+        super().__init__(**data)
+        if self.inputs is not None:
+            self.map_inputs(self.inputs)
+
+    def map_inputs(self, inputs: List[Input]):
+        self.inputs = inputs
+        for input_ in inputs:
+            self._inputs[input_.name] = input_
+
+    def _validate_inputs(self, params: dict):
+        # Params keys are the `name` attribute of the Input objects
+        for key, value in params.items():
+            if key not in self._inputs:
+                raise ValueError(f"Input {key} not found in arguments")
+            input_ = self._inputs[key]
+            # validate_inputs must be a classmethod
+            if hasattr(input_, "validate_value") and is_class_method(func=input_.validate_value, cls=input_):
+                input_.validate_value(value)
 
     def set_attributes(self, params: dict):
+        self._validate_inputs(params)
         for key, value in params.items():
             if key in self.__dict__:
                 raise ValueError(f"Key {key} already exists in {self.__class__.__name__}")
@@ -149,3 +162,4 @@ class Component(CustomComponent):
             return [field.name for field in inputs]
         except KeyError:
             return []
+            return []

src/backend/base/langflow/inputs/__init__.py

@@ -4,13 +4,14 @@ from .inputs import (
     DropdownInput,
     FileInput,
     FloatInput,
+    HandleInput,
     IntInput,
     MultilineInput,
     NestedDictInput,
     PromptInput,
     SecretStrInput,
     StrInput,
-    HandleInput,
+    TextInput,
 )
 
 __all__ = [
@@ -26,4 +27,5 @@ __all__ = [
     "PromptInput",
     "MultilineInput",
     "HandleInput",
+    "TextInput",
 ]

src/backend/base/langflow/inputs/inputs.py

@@ -1,8 +1,10 @@
-from typing import Callable, Optional, Union
+from typing import Any, Callable, Optional, Union
 
-from pydantic import Field, model_validator
+from pydantic import Field, field_validator, model_validator
 
 from langflow.inputs.validators import StrictBoolean
+from langflow.schema.data import Data
+from langflow.schema.message import Message
 
 from .input_mixin import (
     BaseInputMixin,
@@ -39,6 +41,30 @@ class StrInput(BaseInputMixin, ListableInputMixin, DatabaseLoadMixin):  # noqa:
     """Defines if the field will allow the user to open a text editor. Default is False."""
 
 
+class TextInput(StrInput):
+    input_types: list[str] = ["Data", "Message", "Text"]
+
+    @field_validator("value")
+    @classmethod
+    def validate_value(cls, v: Any, _info):
+        if isinstance(v, str):
+            return v
+        elif isinstance(v, Message):
+            return v.text
+        elif isinstance(v, Data):
+            if v.text_key in v.data:
+                return v.data[v.text_key]
+            else:
+                keys = ", ".join(v.data.keys())
+                input_name = _info.data["name"]
+                raise ValueError(
+                    f"The input to '{input_name}' must contain the key '{v.text_key}'."
+                    f"You can set `text_key` to one of the following keys: {keys} or set the value using another Component."
+                )
+        else:
+            raise ValueError(f"Invalid input type {type(v)}")
+
+
 class MultilineInput(BaseInputMixin):
     field_type: Optional[SerializableFieldTypes] = FieldTypes.TEXT
     multiline: StrictBoolean = True

src/backend/base/langflow/schema/message.py

@@ -17,6 +17,7 @@ def _timestamp_to_str(timestamp: datetime) -> str:
 class Message(Data):
     model_config = ConfigDict(arbitrary_types_allowed=True)
     # Helper class to deal with image data
+    text_key: str = "text"
     text: Optional[str | AsyncIterator | Iterator] = Field(default="")
     sender: str
     sender_name: str

src/backend/base/langflow/utils/util.py

@@ -449,3 +449,10 @@ def update_settings(
     if not store:
         logger.debug("Setting store to False")
         settings_service.settings.update_settings(store=False)
+
+
+def is_class_method(func, cls):
+    """
+    Check if a function is a class method.
+    """
+    return inspect.ismethod(func) and func.__self__ is cls.__class__