dosu q&a thread

[dsldsl]

[closed]

[dosubot[bot]]

The error message indicates that thread_id_value and user_id_value are not being passed correctly to the build_output method. This could be due to how the method is being called or how the inputs are being handled in the UI.

To ensure that thread_id_value and user_id_value are required fields and are correctly passed to the build_output method, you can add default values for the optional parameters and ensure that the required parameters are correctly passed. Here is the updated code snippet:

from typing import Optional
from langflow.custom import Component
from langflow.io import MessageTextInput, Output
from langflow.schema import Data
from bson import ObjectId
from steer.controllers.threadsync_controller import get_thread_by_id

class UpdateStateComponent(Component):
    display_name = "UpdateStateComponent"
    description = "Use as a template to create your own component."
    documentation: str = "http://docs.langflow.org/components/custom"
    icon = "custom_components"

    inputs = [
        MessageTextInput(name="thread_id_value", display_name="Thread ID"),
        MessageTextInput(name="user_id_value", display_name="User ID"),
        MessageTextInput(name="current_question", display_name="current_question"),
        MessageTextInput(name="prompt_question", display_name="prompt_question"),
        MessageTextInput(name="followup_depth", display_name="followup_depth"),
        MessageTextInput(name="segue_depth", display_name="segue_depth"),
    ]

    outputs = [
        Output(display_name="Output", name="output", method="build_output"),
    ]

    def build_output(self, thread_id_value: str, user_id_value: str, current_question: Optional[str] = None, prompt_question: Optional[str] = None, 
                     followup_depth: Optional[str] = None, segue_depth: Optional[str] = None):
        update_kwargs = {}
        if current_question:
            update_kwargs['current_question'] = current_question
        if prompt_question:
            update_kwargs['prompt_question'] = prompt_question
        if followup_depth:
            update_kwargs['followup_depth'] = followup_depth
        if segue_depth:
            update_kwargs['segue_depth'] = segue_depth

        update_current_state(thread_id_value, user_id_value, update_kwargs)

Ensure that when you call the build_output method, you are passing thread_id_value and user_id_value as arguments. If these values are being provided through a UI, make sure the UI is correctly sending these values to the method ^[1].

To continue talking to Dosu, mention @dosu.

[dsldsl]

@dosu the UI in langflow component has those fields filled in. (in the UI, i manually type the inputs) But i'm getting this error when i try to build / run. What could that be?

[dsldsl]

@dosu can you explain how the stop() function works with reguards to multiple outputs and this error:

[dosubot[bot]]

To resolve the error "Error Building Component. Error building Component Flow State Router: You must specify an output name to call stop" and properly use the stop() function with multiple outputs in your custom Langflow component, you need to ensure that you specify the output_name parameter when calling the stop() function if there are multiple outputs.

Here is the relevant part of the stop() function from your CustomComponent class:

def stop(self, output_name: str | None = None):
    if not output_name and self.vertex and len(self.vertex.outputs) == 1:
        output_name = self.vertex.outputs[0]["name"]
    else:
        raise ValueError("You must specify an output name to call stop")
    if not self.vertex:
        raise ValueError("Vertex is not set")
    try:
        self.graph.mark_branch(vertex_id=self.vertex.id, output_name=output_name, state="INACTIVE")
    except Exception as e:
        raise ValueError(f"Error stopping {self.display_name}: {e}")

To properly use the stop() function, you need to call it with the output_name parameter if your component has multiple outputs. Here is an example of how to call the stop() function correctly:

# Assuming you have a CustomComponent instance named custom_component
# and you want to stop a specific output named "output1"

custom_component.stop(output_name="output1")

If your component has only one output, you can call the stop() function without specifying the output_name, and it will automatically use the single output name:

# Assuming you have a CustomComponent instance named custom_component
# and it has only one output

custom_component.stop()

For example, if you have a MultipleOutputsComponent class defined as follows:

from langflow.custom import Component
from langflow.inputs import MessageTextInput, IntInput
from langflow.template import Output

class MultipleOutputsComponent(Component):
    display_name = "Multiple Outputs Component"
    description = "A component with multiple outputs."
    icon = "icon-name"

    inputs = [
        MessageTextInput(display_name="Input", name="input"),
        IntInput(display_name="Number", name="number"),
    ]
    outputs = [
        Output(display_name="Certain Output", name="certain_output", method="certain_output"),
        Output(display_name="Other Output", name="other_output", method="other_output"),
    ]

    def certain_output(self) -> str:
        return f"This is my string input: {self.input}"

    def other_output(self) -> int:
        return f"This is my int input multiplied by 2: {self.number * 2}"

You would need to call the stop() function with the appropriate output_name:

# Assuming you have an instance of MultipleOutputsComponent named multiple_outputs_component

multiple_outputs_component.stop(output_name="certain_output")

By ensuring that you provide the output_name when there are multiple outputs, you can avoid the error and properly use the stop() function in your custom Langflow component ^[1][2][3].

To continue talking to Dosu, mention @dosu.