镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
85 行
3.8 KiB
Python
85 行
3.8 KiB
Python
from crazy_functions.crazy_utils import read_and_clean_pdf_text, get_files_from_everything
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import os
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import re
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def extract_text_from_files(txt, chatbot, history):
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"""
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查找pdf/md/word并获取文本内容并返回状态以及文本
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输入参数 Args:
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chatbot: chatbot inputs and outputs （用户界面对话窗口句柄，用于数据流可视化）
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history (list): List of chat history （历史，对话历史列表）
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输出 Returns:
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文件是否存在(bool)
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final_result(list):文本内容
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page_one(list):第一页内容/摘要
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file_manifest(list):文件路径
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excption(string):需要用户手动处理的信息,如没出错则保持为空
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"""
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final_result = []
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page_one = []
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file_manifest = []
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excption = ""
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if txt == "":
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final_result.append(txt)
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return False, final_result, page_one, file_manifest, excption #如输入区内容不是文件则直接返回输入区内容
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#查找输入区内容中的文件
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file_pdf,pdf_manifest,folder_pdf = get_files_from_everything(txt, '.pdf')
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file_md,md_manifest,folder_md = get_files_from_everything(txt, '.md')
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file_word,word_manifest,folder_word = get_files_from_everything(txt, '.docx')
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file_doc,doc_manifest,folder_doc = get_files_from_everything(txt, '.doc')
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if file_doc:
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excption = "word"
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return False, final_result, page_one, file_manifest, excption
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file_num = len(pdf_manifest) + len(md_manifest) + len(word_manifest)
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if file_num == 0:
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final_result.append(txt)
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return False, final_result, page_one, file_manifest, excption #如输入区内容不是文件则直接返回输入区内容
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if file_pdf:
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try: # 尝试导入依赖，如果缺少依赖，则给出安装建议
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import fitz
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except:
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excption = "pdf"
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return False, final_result, page_one, file_manifest, excption
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for index, fp in enumerate(pdf_manifest):
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file_content, pdf_one = read_and_clean_pdf_text(fp) # （尝试）按照章节切割PDF
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file_content = file_content.encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
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pdf_one = str(pdf_one).encode('utf-8', 'ignore').decode() # avoid reading non-utf8 chars
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final_result.append(file_content)
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page_one.append(pdf_one)
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file_manifest.append(os.path.relpath(fp, folder_pdf))
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if file_md:
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for index, fp in enumerate(md_manifest):
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with open(fp, 'r', encoding='utf-8', errors='replace') as f:
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file_content = f.read()
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file_content = file_content.encode('utf-8', 'ignore').decode()
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headers = re.findall(r'^#\s(.*)$', file_content, re.MULTILINE) #接下来提取md中的一级/二级标题作为摘要
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if len(headers) > 0:
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page_one.append("\n".join(headers)) #合并所有的标题,以换行符分割
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else:
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page_one.append("")
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final_result.append(file_content)
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file_manifest.append(os.path.relpath(fp, folder_md))
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if file_word:
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try: # 尝试导入依赖，如果缺少依赖，则给出安装建议
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from docx import Document
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except:
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excption = "word_pip"
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return False, final_result, page_one, file_manifest, excption
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for index, fp in enumerate(word_manifest):
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doc = Document(fp)
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file_content = '\n'.join([p.text for p in doc.paragraphs])
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file_content = file_content.encode('utf-8', 'ignore').decode()
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page_one.append(file_content[:200])
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final_result.append(file_content)
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file_manifest.append(os.path.relpath(fp, folder_word))
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return True, final_result, page_one, file_manifest, excption |