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import re | |
from agent.utils.tokenization_qwen import count_tokens | |
def rm_newlines(text): | |
text = re.sub(r'(?<=[^\.。::])\n', ' ', text) | |
return text | |
def rm_cid(text): | |
text = re.sub(r'\(cid:\d+\)', '', text) | |
return text | |
def rm_hexadecimal(text): | |
text = re.sub(r'[0-9A-Fa-f]{21,}', '', text) | |
return text | |
def deal(text): | |
text = rm_newlines(text) | |
text = rm_cid(text) | |
text = rm_hexadecimal(text) | |
return text | |
def parse_doc(path): | |
if '.pdf' in path.lower(): | |
from langchain.document_loaders import PDFMinerLoader | |
loader = PDFMinerLoader(path) | |
pages = loader.load_and_split() | |
elif '.docx' in path.lower(): | |
from langchain.document_loaders import Docx2txtLoader | |
loader = Docx2txtLoader(path) | |
pages = loader.load_and_split() | |
elif '.pptx' in path.lower(): | |
from langchain.document_loaders import UnstructuredPowerPointLoader | |
loader = UnstructuredPowerPointLoader(path) | |
pages = loader.load_and_split() | |
else: | |
from langchain.document_loaders import UnstructuredFileLoader | |
loader = UnstructuredFileLoader(path) | |
pages = loader.load_and_split() | |
res = [] | |
for page in pages: | |
dealed_page_content = deal(page.page_content) | |
res.append({ | |
'page_content': dealed_page_content, | |
'token': count_tokens(dealed_page_content), | |
'metadata': page.metadata | |
}) | |
return res | |
def pre_process_html(s): | |
# replace multiple newlines | |
s = re.sub('\n+', '\n', s) | |
# replace special string | |
s = s.replace("Add to Qwen's Reading List", '') | |
return s | |
def parse_html_bs(path): | |
from langchain.document_loaders import BSHTMLLoader | |
loader = BSHTMLLoader(path, open_encoding='utf-8') | |
pages = loader.load_and_split() | |
res = [] | |
for page in pages: | |
dealed_page_content = pre_process_html(page.page_content) | |
res.append({ | |
'page_content': dealed_page_content, | |
'token': count_tokens(dealed_page_content), | |
'metadata': page.metadata | |
}) | |
return res | |