Provide directory path

[SVyusti]

While creating a custom component how can I provide a directory path to a variable

[dosubot[bot]]

To provide a directory path to a variable in a custom component, you can use the resolve_path method in the CustomComponent class to ensure the path is correctly resolved. Here is an example:

from langflow.custom.custom_component.custom_component import CustomComponent

# Create an instance of the CustomComponent
custom_component = CustomComponent()

# Define the directory path
directory_path = "/path/to/your/directory"

# Resolve the directory path
resolved_path = custom_component.resolve_path(directory_path)

# Use the resolved path as needed
print(resolved_path)

In this example, the directory_path variable holds the path to the directory you want to provide. This path is then passed to the resolve_path method of the CustomComponent instance. The resolve_path method will process the directory path and return the resolved absolute path ^[1].

Additionally, if you are working with a DirectoryLoaderComponent that extends CustomComponent, you can use the build method to handle more complex configurations:

from langflow.components.documentloaders.DirectoryLoader import DirectoryLoaderComponent

# Create an instance of the DirectoryLoaderComponent
directory_loader_component = DirectoryLoaderComponent()

# Define the directory path and other parameters
directory_path = "/path/to/your/directory"
glob_pattern = "**/*.txt"
max_concurrency = 4
load_hidden = False
recursive = True
silent_errors = False
use_multithreading = True

# Use the build method to process the directory
loaded_records = directory_loader_component.build(
    glob=glob_pattern,
    path=directory_path,
    max_concurrency=max_concurrency,
    load_hidden=load_hidden,
    recursive=recursive,
    silent_errors=silent_errors,
    use_multithreading=use_multithreading
)

# Use the loaded records as needed
print(loaded_records)

In this extended example, the DirectoryLoaderComponent class provides additional configuration options such as glob, max_concurrency, load_hidden, recursive, silent_errors, and use_multithreading to control how files are loaded from the directory. The build method processes these parameters and returns the loaded records ^[2][3].

To continue talking to Dosu, mention @dosu.

[dosubot[bot]]

To create a custom component that retrieves all files from a provided directory using the DirectoryLoader, you can use the following implementation:

from typing import Any, Dict, List

from langchain.docstore.document import Document
from langchain.document_loaders.directory import DirectoryLoader
from langflow import CustomComponent

class DirectoryLoaderComponent(CustomComponent):
    display_name = "DirectoryLoader"
    description = "Load from a directory."

    def build_config(self) -> Dict[str, Any]:
        return {
            "glob": {"display_name": "Glob Pattern", "value": "**/*"},
            "load_hidden": {"display_name": "Load Hidden Files", "value": False, "advanced": True},
            "max_concurrency": {"display_name": "Max Concurrency", "value": 10, "advanced": True},
            "metadata": {"display_name": "Metadata", "value": {}},
            "path": {"display_name": "Local Directory"},
            "recursive": {"display_name": "Recursive", "value": True, "advanced": True},
            "silent_errors": {"display_name": "Silent Errors", "value": False, "advanced": True},
            "use_multithreading": {"display_name": "Use Multithreading", "value": True, "advanced": True},
        }

    def build(
        self,
        glob: str,
        path: str,
        max_concurrency: int = 2,
        load_hidden: bool = False,
        recursive: bool = True,
        silent_errors: bool = False,
        use_multithreading: bool = True,
    ) -> List[Document]:
        return DirectoryLoader(
            glob=glob,
            path=path,
            load_hidden=load_hidden,
            max_concurrency=max_concurrency,
            recursive=recursive,
            silent_errors=silent_errors,
            use_multithreading=use_multithreading,
        ).load()

This class, DirectoryLoaderComponent, provides a configurable way to retrieve files from a directory with options such as path, glob pattern, search depth, concurrency, and more ^[1][2].

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[SVyusti]

@dosu ValidatedClass.is_cls() takes 2 positional arguments but 3 were given what is this error in langflow custom_component

[dosubot[bot]]

The error message "ValidatedClass.is_cls() takes 2 positional arguments but 3 were given" indicates that the is_cls method of the ValidatedClass is being called with an incorrect number of arguments. The method expects 2 arguments, but 3 were provided.

To resolve this issue, you need to ensure that the is_cls method is called with the correct number of arguments. Here is a general approach to fix this:

1. Check the Method Definition: Verify the definition of the is_cls method in the ValidatedClass to understand the expected arguments.

2. Correct the Method Call: Ensure that the method is called with the correct number of arguments.

Since the implementation details of ValidatedClass and its is_cls method are not available in the provided context, I can't provide the exact code. However, here is a general example of how you might correct the method call:

class ValidatedClass:
    def is_cls(self, arg1):
        # Method implementation
        pass

# Correct method call
validated_instance = ValidatedClass()
result = validated_instance.is_cls(arg1)

If you have specific details about the ValidatedClass and its is_cls method, please provide them, and I can give more precise guidance.

To continue talking to Dosu, mention @dosu.

[SVyusti]

@dosu
import sys
from runners.qa_mapreduce_runner_new import MapReduceQARunnerNew
from langflow import CustomComponent
from langchain.schema import Document
from pathlib import Path

class QAProcessor(CustomComponent):
display_name = "QAProcessor"
description = "This component processes a document"

def build_config(self) -> dict:
    options = ["Uppercase", "Lowercase", "Titlecase"]
    return {
        "function": {"options": options,
                 "value": options[0],
                 "display_name": "Function"
                    },
        "input_pdf":{"display_name":"input_pdf"},
        "output_dir":{"display_name":"output_dir"},
        "question_file":{"display_name":"question_file"},
        "document": {
            "display_name": "Document",
            "input_types": ["File"],
            "file_types": ["pdf"]
        }}

def build(self, document: Document,input_pdf:str,output_dir:str,question_file:str,function: str) -> Document:
    if isinstance(document, list):
        document = document[0]
    page_content = document.page_content
    args=[]
    args.extend(['--output_dir', output_dir])
    if input_pdf:
        args.extend(['--input_file', input_pdf])
    if question_file:
        args.extend(['--question_file', question_file])

    obj = MapReduceQARunnerNew()
    obj.run(*args)
    if function == "Uppercase":
        page_content = page_content.upper()
    elif function == "Lowercase":
        page_content = page_content.lower()
    elif function == "Titlecase":
        page_content = page_content.title()
    self.repr_value = f"Result of {function} function: {page_content}"
    return Document(page_content=page_content)

this gives error: ValidatedClass.is_cls() takes 2 positional arguments but 3 were given what is this error in langflow custom_component, the MapReduceQARunnerNew() has no such method defined

[dosubot[bot]]

To resolve the error ValidatedClass.is_cls() takes 2 positional arguments but 3 were given in your custom Langflow component, you need to ensure that the method is_cls in the ValidatedClass is defined to accept the correct number of arguments. The error indicates that the method is currently defined to accept only 2 positional arguments, but it is being called with 3.

Here is an example of how you might modify the is_cls method to accept the correct number of arguments:

class ValidatedClass:
    def is_cls(self, arg1, arg2):
        # Your implementation here
        pass

If the method is being called with an additional argument, you need to update the method definition to accept that argument:

class ValidatedClass:
    def is_cls(self, arg1, arg2, arg3):
        # Your implementation here
        pass

Ensure that the method signature matches the way it is being called in your code. If you provide more context on how is_cls is being called, a more specific solution can be provided ^[1].

To continue talking to Dosu, mention @dosu.

[Cristhianzl]

Hi! 👋

We are using other channels as our official means of communication with users. We apologize for the delayed response.
For faster assistance, please direct your questions to our Discord channel or open a GitHub issue, as we are much more active on these platforms.

Langflow Discord Server

Thank you for your understanding.

Best regards,
The Langflow Team