Download ragflow-main/deepdoc/parser/txt_parser.py from pandaall/ragflow: direct link, hf CLI and curl.
- Browser
- Download file 2.04 kB
-
https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/deepdoc/parser/txt_parser.py
- Command line
-
hf download hf://datasets/pandaall/ragflow/ragflow-main/deepdoc/parser/txt_parser.py
-
curl -L -o txt_parser.py https://huggingface.co/datasets/pandaall/ragflow/resolve/main/ragflow-main/deepdoc/parser/txt_parser.py
2.04 kB
| # | |
| # Copyright 2025 The InfiniFlow Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # | |
| import re | |
| from deepdoc.parser.utils import get_text | |
| from rag.nlp import num_tokens_from_string | |
| class RAGFlowTxtParser: | |
| def __call__(self, fnm, binary=None, chunk_token_num=128, delimiter="\n!?;。;!?"): | |
| txt = get_text(fnm, binary) | |
| return self.parser_txt(txt, chunk_token_num, delimiter) | |
| def parser_txt(cls, txt, chunk_token_num=128, delimiter="\n!?;。;!?"): | |
| if not isinstance(txt, str): | |
| raise TypeError("txt type should be str!") | |
| cks = [""] | |
| tk_nums = [0] | |
| def add_chunk(t): | |
| nonlocal cks, tk_nums, delimiter | |
| tnum = num_tokens_from_string(t) | |
| if tk_nums[-1] > chunk_token_num: | |
| cks.append(t) | |
| tk_nums.append(tnum) | |
| else: | |
| cks[-1] += t | |
| tk_nums[-1] += tnum | |
| dels = [] | |
| s = 0 | |
| for m in re.finditer(r"`([^`]+)`", delimiter, re.I): | |
| f, t = m.span() | |
| dels.append(m.group(1)) | |
| dels.extend(list(delimiter[s: f])) | |
| s = t | |
| if s < len(delimiter): | |
| dels.extend(list(delimiter[s:])) | |
| dels = [re.escape(d) for d in delimiter if d] | |
| dels = [d for d in dels if d] | |
| dels = "|".join(dels) | |
| secs = re.split(r"(%s)" % dels, txt) | |
| for sec in secs: | |
| add_chunk(sec) | |
| return [[c, ""] for c in cks] | |