| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
|
|
| 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() |
| return self.parser_txt(txt) |
|
|
| @classmethod |
| def parser_txt(cls, txt): |
| if not isinstance(txt, str): |
| raise TypeError("txt type should be str!") |
| 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 |
|
|