87 lines
3.0 KiB
Markdown
87 lines
3.0 KiB
Markdown
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# Documentation
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- Class name: LLMImageTabularChartReader
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- Category: SALT/Language Toolkit/Readers
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- Output node: False
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LLMImageTabularChartReader节点专门用于将基于图像的图表解读为表格数据,将视觉信息转换为结构化文档格式。这一过程能够从代表图表的图像中提取和分析数据,便于将其整合到数据处理工作流程中。
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# Input types
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## Required
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- path
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- 指定需要读取的图像图表的文件路径。这对于定位和访问图像以进行数据提取至关重要。
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- Comfy dtype: STRING
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- Python dtype: str
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## Optional
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- max_output_tokens
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- 确定输出生成的最大标记数,影响提取数据的详细程度和长度。
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- Comfy dtype: INT
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- Python dtype: int
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- prompt
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- 提供可选的文本提示,用于指导图像图表的解释,可能影响提取数据的重点或上下文。
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- Comfy dtype: STRING
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- Python dtype: str
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- extra_info
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- 允许以字符串格式包含额外信息,可用于传递数据提取过程的额外参数或上下文。
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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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- 以结构化文档格式返回从图像图表中提取的表格数据,便于进一步分析或处理。
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- Comfy dtype: DOCUMENT
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- Python dtype: Document
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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 LLMImageTabularChartReader(ImageTabularChartReader):
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"""
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@NOTE: Reads an Image chart as if it were tabular data into a llama_index Document
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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/image_deplot/base.py
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@Documentation: https://docs.llamaindex.ai/en/latest/api_reference/readers/file/#llama_index.readers.file.ImageTabularChartReader
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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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# "keep_image": ([False, True], {"default": False}),
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"max_output_tokens": ("INT", {"default": 512}),
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"prompt": ("STRING", {"multiline": True, "dynamicPrompts": False, "default": ""}),
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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, max_output_tokens:int=512, prompt:str=None, extra_info:str="{}"):
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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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self._max_output_tokens = max_output_tokens
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if prompt and len(prompt) > 2:
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self._prompt = prompt
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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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