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| import re | |
| from qwen_agent.utils.tokenization_qwen import count_tokens | |
| def rm_newlines(text): | |
| text = re.sub(r'(?<=[^\.。:：])\n', ' ', text) | |
| return text | |
| def rm_cid(text): | |
| text = re.sub(r'\(cid:\d+\)', '', text) | |
| return text | |
| def rm_hexadecimal(text): | |
| text = re.sub(r'[0-9A-Fa-f]{21,}', '', text) | |
| return text | |
| def deal(text): | |
| text = rm_newlines(text) | |
| text = rm_cid(text) | |
| text = rm_hexadecimal(text) | |
| return text | |
| def parse_doc(path): | |
| if '.pdf' in path.lower(): | |
| from langchain.document_loaders import PDFMinerLoader | |
| loader = PDFMinerLoader(path) | |
| pages = loader.load_and_split() | |
| elif '.docx' in path.lower(): | |
| from langchain.document_loaders import Docx2txtLoader | |
| loader = Docx2txtLoader(path) | |
| pages = loader.load_and_split() | |
| elif '.pptx' in path.lower(): | |
| from langchain.document_loaders import UnstructuredPowerPointLoader | |
| loader = UnstructuredPowerPointLoader(path) | |
| pages = loader.load_and_split() | |
| else: | |
| from langchain.document_loaders import UnstructuredFileLoader | |
| loader = UnstructuredFileLoader(path) | |
| pages = loader.load_and_split() | |
| res = [] | |
| for page in pages: | |
| dealed_page_content = deal(page.page_content) | |
| res.append({ | |
| 'page_content': dealed_page_content, | |
| 'token': count_tokens(dealed_page_content), | |
| 'metadata': page.metadata | |
| }) | |
| return res | |
| def pre_process_html(s): | |
| # replace multiple newlines | |
| s = re.sub('\n+', '\n', s) | |
| # replace special string | |
| s = s.replace("Add to Qwen's Reading List", '') | |
| return s | |
| def parse_html_bs(path): | |
| from langchain.document_loaders import BSHTMLLoader | |
| loader = BSHTMLLoader(path, open_encoding='utf-8') | |
| pages = loader.load_and_split() | |
| res = [] | |
| for page in pages: | |
| dealed_page_content = pre_process_html(page.page_content) | |
| res.append({ | |
| 'page_content': dealed_page_content, | |
| 'token': count_tokens(dealed_page_content), | |
| 'metadata': page.metadata | |
| }) | |
| return res | |