# # 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 from rag.nlp.delim import ( compile_delimiter_pattern, normalize_text_newlines, parse_delimiter_field, ) 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] def add_chunk(t): nonlocal cks, tk_nums 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) txt = normalize_text_newlines(txt) parsed_dels = parse_delimiter_field(delimiter) dels = compile_delimiter_pattern(parsed_dels) logging.debug( "RAGFlowTxtParser.parser_txt: delimiter_count=%d, splitting=%s", len(parsed_dels), bool(dels), ) secs = re.split(r"(%s)" % dels, txt) if dels else [txt] for sec in secs: if dels and 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]