105 lines
6.1 KiB
Python
105 lines
6.1 KiB
Python
|
import re
|
|||
|
|
from typing import List, Optional, Any
|
|||
|
|
from langchain.text_splitter import RecursiveCharacterTextSplitter
|
|||
|
|
import logging
|
|||
|
|
|
|||
|
|
logger = logging.getLogger(__name__)
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _split_text_with_regex_from_end(
|
|||
|
|
text: str, separator: str, keep_separator: bool
|
|||
|
|
) -> List[str]:
|
|||
|
|
# Now that we have the separator, split the text
|
|||
|
|
if separator:
|
|||
|
|
if keep_separator:
|
|||
|
|
# The parentheses in the pattern keep the delimiters in the result.
|
|||
|
|
_splits = re.split(f"({separator})", text)
|
|||
|
|
splits = ["".join(i) for i in zip(_splits[0::2], _splits[1::2])]
|
|||
|
|
if len(_splits) % 2 == 1:
|
|||
|
|
splits += _splits[-1:]
|
|||
|
|
# splits = [_splits[0]] + splits
|
|||
|
|
else:
|
|||
|
|
splits = re.split(separator, text)
|
|||
|
|
else:
|
|||
|
|
splits = list(text)
|
|||
|
|
return [s for s in splits if s != ""]
|
|||
|
|
|
|||
|
|
|
|||
|
|
class ChineseRecursiveTextSplitter(RecursiveCharacterTextSplitter):
|
|||
|
|
def __init__(
|
|||
|
|
self,
|
|||
|
|
separators: Optional[List[str]] = None,
|
|||
|
|
keep_separator: bool = True,
|
|||
|
|
is_separator_regex: bool = True,
|
|||
|
|
**kwargs: Any,
|
|||
|
|
) -> None:
|
|||
|
|
"""Create a new TextSplitter."""
|
|||
|
|
super().__init__(keep_separator=keep_separator, **kwargs)
|
|||
|
|
self._separators = separators or [
|
|||
|
|
"\n\n",
|
|||
|
|
"\n",
|
|||
|
|
"。|！|？",
|
|||
|
|
"\.\s|\!\s|\?\s",
|
|||
|
|
"；|;\s",
|
|||
|
|
"，|,\s"
|
|||
|
|
]
|
|||
|
|
self._is_separator_regex = is_separator_regex
|
|||
|
|
|
|||
|
|
def _split_text(self, text: str, separators: List[str]) -> List[str]:
|
|||
|
|
"""Split incoming text and return chunks."""
|
|||
|
|
final_chunks = []
|
|||
|
|
# Get appropriate separator to use
|
|||
|
|
separator = separators[-1]
|
|||
|
|
new_separators = []
|
|||
|
|
for i, _s in enumerate(separators):
|
|||
|
|
_separator = _s if self._is_separator_regex else re.escape(_s)
|
|||
|
|
if _s == "":
|
|||
|
|
separator = _s
|
|||
|
|
break
|
|||
|
|
if re.search(_separator, text):
|
|||
|
|
separator = _s
|
|||
|
|
new_separators = separators[i + 1:]
|
|||
|
|
break
|
|||
|
|
|
|||
|
|
_separator = separator if self._is_separator_regex else re.escape(separator)
|
|||
|
|
splits = _split_text_with_regex_from_end(text, _separator, self._keep_separator)
|
|||
|
|
|
|||
|
|
# Now go merging things, recursively splitting longer texts.
|
|||
|
|
_good_splits = []
|
|||
|
|
_separator = "" if self._keep_separator else separator
|
|||
|
|
for s in splits:
|
|||
|
|
if self._length_function(s) < self._chunk_size:
|
|||
|
|
_good_splits.append(s)
|
|||
|
|
else:
|
|||
|
|
if _good_splits:
|
|||
|
|
merged_text = self._merge_splits(_good_splits, _separator)
|
|||
|
|
final_chunks.extend(merged_text)
|
|||
|
|
_good_splits = []
|
|||
|
|
if not new_separators:
|
|||
|
|
final_chunks.append(s)
|
|||
|
|
else:
|
|||
|
|
other_info = self._split_text(s, new_separators)
|
|||
|
|
final_chunks.extend(other_info)
|
|||
|
|
if _good_splits:
|
|||
|
|
merged_text = self._merge_splits(_good_splits, _separator)
|
|||
|
|
final_chunks.extend(merged_text)
|
|||
|
|
return [re.sub(r"\n{2,}", "\n", chunk.strip()) for chunk in final_chunks if chunk.strip()!=""]
|
|||
|
|
|
|||
|
|
|
|||
|
|
if __name__ == "__main__":
|
|||
|
|
text_splitter = ChineseRecursiveTextSplitter(
|
|||
|
|
keep_separator=True,
|
|||
|
|
is_separator_regex=True,
|
|||
|
|
chunk_size=50,
|
|||
|
|
chunk_overlap=0
|
|||
|
|
)
|
|||
|
|
ls = [
|
|||
|
|
"""中国对外贸易形势报告（75页）。前 10 个月，一般贸易进出口 19.5 万亿元，增长 25.1%， 比整体进出口增速高出 2.9 个百分点，占进出口总额的 61.7%，较去年同期提升 1.6 个百分点。其中，一般贸易出口 10.6 万亿元，增长 25.3%，占出口总额的 60.9%，提升 1.5 个百分点；进口8.9万亿元，增长24.9%，占进口总额的62.7%， 提升 1.8 个百分点。加工贸易进出口 6.8 万亿元，增长 11.8%， 占进出口总额的 21.5%，减少 2.0 个百分点。其中，出口增 长 10.4%，占出口总额的 24.3%，减少 2.6 个百分点；进口增 长 14.2%，占进口总额的 18.0%，减少 1.2 个百分点。此外， 以保税物流方式进出口 3.96 万亿元，增长 27.9%。其中，出 口 1.47 万亿元，增长 38.9%；进口 2.49 万亿元，增长 22.2%。前三季度，中国服务贸易继续保持快速增长态势。服务 进出口总额 37834.3 亿元，增长 11.6%；其中服务出口 17820.9 亿元，增长 27.3%；进口 20013.4 亿元，增长 0.5%，进口增 速实现了疫情以来的首次转正。服务出口增幅大于进口 26.8 个百分点，带动服务贸易逆差下降 62.9%至 2192.5 亿元。服 务贸易结构持续优化，知识密集型服务进出口 16917.7 亿元， 增长 13.3%，占服务进出口总额的比重达到 44.7%，提升 0.7 个百分点。 二、中国对外贸易发展环境分析和展望 全球疫情起伏反复，经济复苏分化加剧，大宗商品价格 上涨、能源紧缺、运力紧张及发达经济体政策调整外溢等风 险交织叠加。同时也要看到，我国经济长期向好的趋势没有 改变，外贸企业韧性和活力不断增强，新业态新模式加快发 展，创新转型步伐提速。产业链供应链面临挑战。美欧等加快出台制造业回迁计 划，加速产业链供应链本土布局，跨国公司调整产业链供应 链，全球双链面临新一轮重构，区域化、近岸化、本土化、 短链化趋势凸显。疫苗供应不足，制造业“缺芯”、物流受限、 运价高企，全球产业链供应链面临压力。 全球通胀持续高位运行。能源价格上涨加大主要经济体 的通胀压力，增加全球经济复苏的不确定性。世界银行今年 10 月发布《大宗商品市场展望》指出，能源价格在 2021 年 大涨逾 80%，并且仍将在 2022 年小幅上涨。IMF 指出，全 球通胀上行风险加剧，通胀前景存在巨大不确定性。""",
|
|||
|
|
]
|
|||
|
|
# text = """"""
|
|||
|
|
for inum, text in enumerate(ls):
|
|||
|
|
print(inum)
|
|||
|
|
chunks = text_splitter.split_text(text)
|
|||
|
|
for chunk in chunks:
|
|||
|
|
print(chunk)
|