| # -*- coding: utf-8 -*- | |
| from rag.nlp import find_codec | |
| import readability | |
| import html_text | |
| import chardet | |
| def get_encoding(file): | |
| with open(file,'rb') as f: | |
| tmp = chardet.detect(f.read()) | |
| return tmp['encoding'] | |
| class RAGFlowHtmlParser: | |
| def __call__(self, fnm, binary=None): | |
| txt = "" | |
| if binary: | |
| encoding = find_codec(binary) | |
| txt = binary.decode(encoding, errors="ignore") | |
| else: | |
| with open(fnm, "r",encoding=get_encoding(fnm)) as f: | |
| txt = f.read() | |
| html_doc = readability.Document(txt) | |
| title = html_doc.title() | |
| content = html_text.extract_text(html_doc.summary(html_partial=True)) | |
| txt = f'{title}\n{content}' | |
| sections = txt.split("\n") | |
| return sections | |