CSVAgentComponent Fails To Load CSV Files With Non-UTF-8 Encoding

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Introduction

The CSVAgentComponent in Langflow is designed to handle CSV files with ease. However, when dealing with CSV files that are not encoded in UTF-8, the component fails to load the file, resulting in a UnicodeDecodeError. This issue affects a wide range of real-world CSV files, making it challenging for users to interact with these files using the CSVAgentComponent.

Expected Behavior

The CSVAgentComponent should be able to handle non-UTF-8 encodings in a more robust manner. This can be achieved by either:

  • Automatically detecting the encoding: The component should be able to automatically detect the encoding of the CSV file, allowing it to handle files with different encodings without any issues.
  • Allowing the user to specify the encoding: Alternatively, the component should provide an option for the user to specify the encoding of the CSV file, giving them more control over the file handling process.

Actual Behavior

When trying to load a CSV file with a non-UTF-8 encoding, the CSVAgentComponent throws a UnicodeDecodeError. The error message indicates that the component is trying to decode the file using the UTF-8 codec, but it encounters an invalid start byte.

Error Message

'utf-8' codec can't decode byte 0x96 in position 100: invalid start byte

Traceback

The error traceback provides more information about the error, including the file and line number where the error occurred.

Error building Component CSVAgent: 
'utf-8' codec can't decode byte 0x96 in position 100: invalid start byte

Traceback (most recent call last):
  File "/app/.venv/lib/python3.12/site-packages/langflow/graph/vertex/base.py", line 632, in _build_results
    ...

Environment

The issue is reproducible in the following environment:

  • Python Version: 3.12
  • LLM: llama3.2:latest
  • OS: Official Docker Container

Proposed Solution

To resolve this issue, we propose the following solutions:

  • Use chardet or charset-normalizer to auto-detect file encoding: We can use libraries like chardet or charset-normalizer to automatically detect the encoding of the CSV file. This will allow the component to handle files with different encodings without any issues.
  • Allow users to specify the encoding as an optional input: Alternatively, we can provide an option for the user to specify the encoding of the CSV file. This will give them more control over the file handling process.
  • Fallback to 'latin1' or 'ISO-8859-1' when UTF-8 fails: As a last resort, we can fallback to using the 'latin1' or 'ISO-8859-1' encoding when the UTF-8 encoding fails.

Reproduction Steps

To reproduce this issue, follow these steps:

  1. Launch Langflow and add the CSVAgentComponent.
  2. Upload a CSV file with non-UTF-8 encoding (e.g., a CSV exported from Microsoft Excel on Windows).
  3. Provide a query and run the flow.

Expected Behavior

The expected behavior is that the component should either:

  • Automatically detect the encoding of the CSV file.
  • Allow the user to specify the encoding of the CSV file.

Who Can Help?

If you are experiencing this issue, please provide more information about your environment and the steps you have taken to reproduce the issue. We will do our best to assist you in resolving this issue.

Operating System

Official Docker Image

Langflow Version

1.4.1

Python Version

3.12

Screenshot

No screenshot is available for this issue.

Flow File

No flow file is available for this issue.

Q: What is the issue with the CSVAgentComponent?

A: The issue with the CSVAgentComponent is that it fails to load CSV files with non-UTF-8 encodings, resulting in a UnicodeDecodeError.

Q: What are the expected behaviors of the CSVAgentComponent?

A: The expected behaviors of the CSVAgentComponent are:

  • Automatically detecting the encoding: The component should be able to automatically detect the encoding of the CSV file, allowing it to handle files with different encodings without any issues.
  • Allowing the user to specify the encoding: Alternatively, the component should provide an option for the user to specify the encoding of the CSV file, giving them more control over the file handling process.

Q: What is the actual behavior of the CSVAgentComponent?

A: The actual behavior of the CSVAgentComponent is that it throws a UnicodeDecodeError when trying to load a CSV file with a non-UTF-8 encoding.

Q: What is the error message and traceback?

A: The error message is:

'utf-8' codec can't decode byte 0x96 in position 100: invalid start byte

The error traceback is:

Error building Component CSVAgent: 
'utf-8' codec can't decode byte 0x96 in position 100: invalid start byte

Traceback (most recent call last):
  File "/app/.venv/lib/python3.12/site-packages/langflow/graph/vertex/base.py", line 632, in _build_results
    ...

Q: What are the proposed solutions to resolve this issue?

A: The proposed solutions to resolve this issue are:

  • Use chardet or charset-normalizer to auto-detect file encoding: We can use libraries like chardet or charset-normalizer to automatically detect the encoding of the CSV file. This will allow the component to handle files with different encodings without any issues.
  • Allow users to specify the encoding as an optional input: Alternatively, we can provide an option for the user to specify the encoding of the CSV file. This will give them more control over the file handling process.
  • Fallback to 'latin1' or 'ISO-8859-1' when UTF-8 fails: As a last resort, we can fallback to using the 'latin1' or 'ISO-8859-1' encoding when the UTF-8 encoding fails.

Q: How can I reproduce this issue?

A: To reproduce this issue, follow these steps:

  1. Launch Langflow and add the CSVAgentComponent.
  2. Upload a CSV file with non-UTF-8 encoding (e.g., a CSV exported from Microsoft Excel on Windows).
  3. Provide a query and run the flow.

Q: What are the expected behaviors when reproducing this issue?

A: The expected behaviors when reproducing this issue are:

  • Automatically detecting the encoding: The component should be able to automatically detect the encoding of the CSV file.
  • Allowing the user to specify the encoding: Alternatively, the component should provide an option for the user to specify the encoding of the CSV file.

Q: Who can help me resolve this issue?

A: If you are experiencing this issue, please provide more information about your environment and the steps you have taken to reproduce the issue. We will do our best to assist you in resolving this issue.

Q: What are the system requirements to reproduce this issue?

A: The system requirements to reproduce this issue are:

  • Python Version: 3.12
  • LLM: llama3.2:latest
  • OS: Official Docker Container

Q: What are the Langflow and Python versions that are affected by this issue?

A: The Langflow and Python versions that are affected by this issue are:

  • Langflow Version: 1.4.1
  • Python Version: 3.12