72 lines
2.2 KiB
Markdown
72 lines
2.2 KiB
Markdown
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# Documentation
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- Class name: LLMPDFReader
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- Category: SALT/Language Toolkit/Readers
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- Output node: False
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LLMPDFReader节点旨在读取PDF文件并将其转换为llama_index Document格式，不包括嵌入的图像。这一功能使得可以从PDF文档中提取和处理文本数据，以便进行进一步的分析或处理。
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# Input types
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## Required
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- path
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- 指定要读取的PDF文件在文件系统中的路径。这对于定位和访问待处理的文件至关重要。
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- Comfy dtype: STRING
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- Python dtype: str
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## Optional
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- extra_info
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- 以字符串格式提供额外的可选信息，可用于影响读取过程或处理特定需求。
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- Comfy dtype: STRING
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- Python dtype: str
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# Output types
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- documents
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- 将PDF文件的内容作为llama_index Document返回，便于进一步的数据处理或分析。
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- Comfy dtype: DOCUMENT
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- Python dtype: tuple
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## Usage tips
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- Infra type: `CPU`
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- Common nodes: unknown
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## Source code
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```python
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class LLMPDFReader(PDFReader):
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"""
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@NOTE: Reads PDF files into a llama_index Document, currently doesn't support embedded images
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@Source: https://github.com/run-llama/llama_index/blob/main/llama-index-integrations/readers/llama-index-readers-file/llama_index/readers/file/docs/base.py
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@Documentation: https://docs.llamaindex.ai/en/latest/api_reference/readers/file/#llama_index.readers.file.PDFReader
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"""
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def __init__(self):
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super().__init__()
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"path": ("STRING", {"default": ""}),
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},
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"optional": {
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"extra_info": ("STRING", {"multiline": True, "dynamicPrompts": False, "default": "{}"}),
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}
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}
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RETURN_TYPES = ("DOCUMENT", )
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RETURN_NAMES = ("documents",)
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FUNCTION = "execute"
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CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Readers"
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def execute(self, path:str, extra_info:str, fs = None):
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get_full_path(1, path)
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if not os.path.exists(path):
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raise FileNotFoundError(f"No file available at: {path}")
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path = Path(path)
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extra_info = read_extra_info(extra_info)
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data = self.load_data(path, extra_info)
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return (data, )
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```
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