∞ HWP

Documentation

• Class name: LLMHWPReader
• Category: SALT/Language Toolkit/Readers
• Output node: False

The LLMHWPReader node is designed to read and process HWP (Hangul Word Processor) files, a popular word processing file format in South Korea, converting them into a format suitable for further analysis or processing within the llama_index ecosystem.

Input types

Required

• path
  • Specifies the file path to the HWP document to be read. This path is essential for locating and accessing the file for processing.
  • Comfy dtype: STRING
  • Python dtype: str

Optional

• extra_info
  • Provides additional information or parameters in JSON string format that may influence how the HWP file is processed, allowing for customizable handling of the file.
  • Comfy dtype: STRING
  • Python dtype: str

Output types

• documents
  • Comfy dtype: DOCUMENT
  • Returns the processed HWP file content as a document object, ready for integration into the llama_index ecosystem for further analysis or processing.
  • Python dtype: tuple

Usage tips

• Infra type: CPU
• Common nodes: unknown

Source code

class LLMHWPReader(HWPReader):
    """
    @NOTE: Reads HWP (Korean) files into a llama_index Document
    @Documentation: https://docs.llamaindex.ai/en/latest/api_reference/readers/file/#llama_index.readers.file.HWPReader
    """

    def __init__(self):
        super().__init__()

    @classmethod
    def INPUT_TYPES(cls):
        return {
            "required": {
                "path": ("STRING", {"default": ""}),
            },
            "optional": {
                "extra_info": ("STRING", {"multiline": True, "dynamicPrompts": False, "default": "{}"}),
            }
        }

    RETURN_TYPES = ("DOCUMENT", )
    RETURN_NAMES = ("documents",)

    FUNCTION = "execute"
    CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Readers"

    def execute(self, path:str,  extra_info:str, fs = None):
        get_full_path(1, path)
        if not os.path.exists(path):
            raise FileNotFoundError(f"No file available at: {path}")
        path = Path(path)
        extra_info = read_extra_info(extra_info)
        data = self.load_data(path, extra_info)
        return (data, )