Add version module and update imports

src/backend/base/langflow/__main__.py

@@ -9,10 +9,7 @@ from typing import Optional
 import httpx
 import typer
 from dotenv import load_dotenv
-from multiprocess import (  # noqa
-    Process,  # noqa
-    cpu_count,  # noqa; type: ignore
-)
+from multiprocess import Process, cpu_count  # type: ignore
 from rich import box
 from rich import print as rprint
 from rich.console import Console

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

@@ -164,7 +164,7 @@ def get_is_component_from_data(data: dict):
 
 
 async def check_langflow_version(component: StoreComponentCreate):
-    from langflow.version import __version__ as current_version
+    from langflow.version.version import __version__ as current_version  # type: ignore
 
     if not component.last_tested_version:
         component.last_tested_version = current_version

src/backend/base/langflow/api/v1/endpoints.py

@@ -239,7 +239,7 @@ async def create_upload_file(
 # get endpoint to return version of langflow
 @router.get("/version")
 def get_version():
-    from langflow.version import __version__
+    from langflow.version import __version__  # type: ignore
 
     return {"version": __version__}
 

src/backend/base/langflow/base/agents/agent.py

@@ -1,7 +1,6 @@
-from typing import List, Union
+from typing import List, Optional, Union, cast
 
 from langchain.agents import AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent
-
 from langchain_core.runnables import Runnable
 
 from langflow.custom import CustomComponent
@@ -45,7 +44,7 @@ class LCAgentComponent(CustomComponent):
         inputs: str,
         input_variables: list[str],
         tools: List[Tool],
-        memory: BaseMemory = None,
+        memory: Optional[BaseMemory] = None,
         handle_parsing_errors: bool = True,
         output_key: str = "output",
     ) -> Text:
@@ -53,7 +52,11 @@ class LCAgentComponent(CustomComponent):
             runnable = agent
         else:
             runnable = AgentExecutor.from_agent_and_tools(
-                agent=agent, tools=tools, verbose=True, memory=memory, handle_parsing_errors=handle_parsing_errors
+                agent=agent,  # type: ignore
+                tools=tools,
+                verbose=True,
+                memory=memory,
+                handle_parsing_errors=handle_parsing_errors,
             )
         input_dict = {"input": inputs}
         for var in input_variables:
@@ -62,11 +65,11 @@ class LCAgentComponent(CustomComponent):
         result = await runnable.ainvoke(input_dict)
         self.status = result
         if output_key in result:
-            return result.get(output_key)
+            return cast(str, result.get(output_key))
         elif "output" not in result:
             if output_key != "output":
                 raise ValueError(f"Output key not found in result. Tried '{output_key}' and 'output'.")
             else:
                 raise ValueError("Output key not found in result. Tried 'output'.")
 
-        return result.get("output")
+        return cast(str, result.get("output"))

src/backend/base/langflow/base/models/model.py

@@ -40,9 +40,9 @@ class LCModelComponent(CustomComponent):
         if input_value:
             messages.append(HumanMessage(content=input_value))
         if stream:
-            result = runnable.stream(messages)
+            return runnable.stream(messages)
         else:
             message = runnable.invoke(messages)
             result = message.content
             self.status = result
-        return result
+            return result

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

@@ -1,4 +1,4 @@
-from typing import Any, List, Optional, Text
+from typing import Any, List, Optional
 
 from langchain_core.tools import StructuredTool
 from loguru import logger
@@ -8,6 +8,7 @@ from langflow.field_typing import Tool
 from langflow.graph.graph.base import Graph
 from langflow.helpers.flow import build_function_and_schema
 from langflow.schema.dotdict import dotdict
+from langflow.schema.schema import Record
 
 
 class FlowToolComponent(CustomComponent):
@@ -19,7 +20,7 @@ class FlowToolComponent(CustomComponent):
         flow_records = self.list_flows()
         return [flow_record.data["name"] for flow_record in flow_records]
 
-    def get_flow(self, flow_name: str) -> Optional[Text]:
+    def get_flow(self, flow_name: str) -> Optional[Record]:
         """
         Retrieves a flow by its name.
 
@@ -82,4 +83,4 @@ class FlowToolComponent(CustomComponent):
         description_repr = repr(tool.description).strip("'")
         args_str = "\n".join([f"- {arg_name}: {arg_data['description']}" for arg_name, arg_data in tool.args.items()])
         self.status = f"{description_repr}\nArguments:\n{args_str}"
-        return tool
+        return tool  # type: ignore

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

@@ -1,5 +1,6 @@
 from typing import Any, List, Optional
 
+from langflow.helpers.flow import get_flow_inputs
 from loguru import logger
 
 from langflow.custom import CustomComponent
@@ -43,7 +44,7 @@ class SubFlowComponent(CustomComponent):
                     raise ValueError(f"Flow {field_value} not found.")
                 graph = Graph.from_payload(flow_record.data["data"])
                 # Get all inputs from the graph
-                inputs = self.get_flow_inputs(graph)
+                inputs = get_flow_inputs(graph)
                 # Add inputs to the build config
                 build_config = self.add_inputs_to_build_config(inputs, build_config)
             except Exception as e:
@@ -51,14 +52,6 @@ class SubFlowComponent(CustomComponent):
 
         return build_config
 
-    def get_flow_inputs(self, graph: Graph) -> List[Vertex]:
-        inputs = []
-        for vertex in graph.vertices:
-            if vertex.is_input:
-                inputs.append((vertex.id, vertex.display_name, vertex.description))
-        logger.debug(inputs)
-        return inputs
-
     def add_inputs_to_build_config(self, inputs: List[Vertex], build_config: dotdict):
         new_fields: list[TemplateField] = []
         for vertex in inputs:
@@ -116,7 +109,7 @@ class SubFlowComponent(CustomComponent):
         run_output = run_outputs[0]
 
         records = []
-        if run_outputs is not None:
+        if run_output is not None:
             for output in run_output.outputs:
                 if output:
                     records.extend(self.build_records_from_result_data(output))

src/backend/base/langflow/graph/graph/base.py

@@ -201,7 +201,7 @@ class Graph:
         self,
         inputs: Dict[str, str],
         input_components: list[str],
-        input_type: str,
+        input_type: Literal["chat", "text", "json", "any"] | None,
         outputs: list[str],
         stream: bool,
         session_id: str,
@@ -236,7 +236,7 @@ class Graph:
                     continue
                 # If the input_type is not any and the input_type is not in the vertex id
                 # Example: input_type = "chat" and vertex.id = "OpenAI-19ddn"
-                elif input_type != "any" and input_type not in vertex.id.lower():
+                elif input_type is not None and input_type != "any" and input_type not in vertex.id.lower():
                     continue
                 if vertex is None:
                     raise ValueError(f"Vertex {vertex_id} not found")

src/backend/base/langflow/helpers/__init__py

@@ -1,3 +0,0 @@
-from .record import docs_to_records, records_to_text
-
-__all__ = ["docs_to_records", "records_to_text"]

src/backend/langflow/version/__init__.py

@@ -0,0 +1 @@
+from .version import __version__  # noqa: F401

src/backend/langflow/version/version.py

@@ -3,6 +3,5 @@ from importlib import metadata
 try:
     __version__ = metadata.version(__package__)
 except metadata.PackageNotFoundError:
-    # Case where package metadata is not available.
     __version__ = ""
-del metadata  # optional, avoids polluting the results of dir(__package__)
+del metadata