ragflow / deepdoc /parser /txt_parser.py
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# 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.
#
from rag.nlp import find_codec,num_tokens_from_string
class RAGFlowTxtParser:
def __call__(self, fnm, binary=None, chunk_token_num=128):
txt = ""
if binary:
encoding = find_codec(binary)
txt = binary.decode(encoding, errors="ignore")
else:
with open(fnm, "r") as f:
while True:
l = f.readline()
if not l:
break
txt += l
return self.parser_txt(txt, chunk_token_num)
@classmethod
def parser_txt(cls, txt, chunk_token_num=128):
if type(txt) != str:
raise TypeError("txt type should be str!")
sections = []
for sec in txt.split("\n"):
if num_tokens_from_string(sec) > 10 * int(chunk_token_num):
sections.append((sec[: int(len(sec) / 2)], ""))
sections.append((sec[int(len(sec) / 2) :], ""))
else:
sections.append((sec, ""))
return sections