# # 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 logging import re from common.token_utils import num_tokens_from_string from deepdoc.parser.utils import get_text from rag.nlp import _split_oversized_unit 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) @classmethod 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] delimiter = delimiter.encode("utf-8").decode("unicode_escape").encode("latin1").decode("utf-8") def add_chunk(t): nonlocal cks, tk_nums, delimiter tnum = num_tokens_from_string(t) if cks[-1] == "": cks[-1] = t tk_nums[-1] = tnum return merged = cks[-1] + "\n" + t merged_tnum = num_tokens_from_string(merged) if merged_tnum <= chunk_token_num: cks[-1] = merged tk_nums[-1] = merged_tnum return cks.append(t) tk_nums.append(tnum) dels = [] s = 0 for m in re.finditer(r"`([^`]+)`", delimiter): f, m_t = m.span() dels.append(m.group(1)) dels.extend(list(delimiter[s:f])) s = m_t if s < len(delimiter): dels.extend(list(delimiter[s:])) dels = [re.escape(d) for d in dels if d] dels = [d for d in dels if d] dels = "|".join(dels) secs = re.split(r"(%s)" % dels, txt) for sec in secs: if re.match(f"^{dels}$", sec): continue if not sec: continue if num_tokens_from_string(sec) <= chunk_token_num: add_chunk(sec) continue pieces = _split_oversized_unit(sec, chunk_token_num, token_count_fn=num_tokens_from_string) logging.debug("parser_txt: split oversized section (%d tokens) into %d pieces", num_tokens_from_string(sec), len(pieces)) for piece in pieces: add_chunk(piece) logging.debug("parser_txt: %d sections -> %d chunks (chunk_token_num=%d)", len(secs), len(cks), chunk_token_num) return [[c, ""] for c in cks]