59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
from llama_index.readers.file.markdown import MarkdownReader
|
|
from typing import Any, Dict, List, Optional, Tuple
|
|
import re
|
|
from llama_index.core.utils import get_tokenizer
|
|
|
|
|
|
class ChunkMarkdownReader(MarkdownReader):
|
|
def __init__(
|
|
self,
|
|
*args: Any,
|
|
chunkSize:int = 2048,
|
|
**kwargs: Any,
|
|
) -> None:
|
|
self._chunkSize = chunkSize
|
|
self._tokenizer = get_tokenizer()
|
|
super().__init__(*args,**kwargs)
|
|
|
|
def markdown_to_tups(self, markdown_text: str) -> List[Tuple[Optional[str], str]]:
|
|
markdown_tups: List[Tuple[Optional[str], str]] = []
|
|
lines = markdown_text.split("\n")
|
|
|
|
strTitle = ''
|
|
tokensNum:int = 0
|
|
current_lines = []
|
|
strheader:str = ''
|
|
headerSize:int = 0
|
|
for line in lines:
|
|
tokensNum += self._token_size(line)
|
|
if tokensNum > self._chunkSize and len(current_lines) > 0:
|
|
markdown_tups.append((strTitle + strheader , "\n".join(current_lines)))
|
|
tokensNum = headerSize
|
|
current_lines.clear()
|
|
|
|
current_lines.append(line)
|
|
|
|
if line == '\n' or line == '\r':
|
|
if tokensNum > self._chunkSize:
|
|
raise ValueError('标题Token数大于chunkSize大小')
|
|
strTitle = "\n".join(current_lines)
|
|
headerSize = headerSize + self._token_size(strTitle)
|
|
current_lines.clear()
|
|
|
|
if line.startswith("|---"):
|
|
strheader = "\n".join(current_lines)
|
|
headerSize= headerSize + self._token_size(strheader)
|
|
current_lines.clear()
|
|
|
|
if len(current_lines) > 0:
|
|
markdown_tups.append((strTitle + strheader , "\n".join(current_lines)))
|
|
return [
|
|
(
|
|
key if key is None else re.sub(r"#", "", key).strip(),
|
|
re.sub(r"<.*?>", "", value),
|
|
)
|
|
for key, value in markdown_tups
|
|
]
|
|
|
|
def _token_size(self, text: str) -> int:
|
|
return len(self._tokenizer(text)) |