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arc53--docsgpt/application/parser/file/docs_parser.py
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Python

"""Docs parser.
Contains parsers for docx, pdf files.
"""
from pathlib import Path
from typing import Dict
from application.parser.file.base_parser import BaseParser
from application.core.settings import settings
import requests
class PDFParser(BaseParser):
"""PDF parser."""
def _init_parser(self) -> Dict:
"""Init parser."""
return {}
def parse_file(self, file: Path, errors: str = "ignore") -> str:
"""Parse file."""
if settings.PARSE_PDF_AS_IMAGE:
doc2md_service = "https://llm.arc53.com/doc2md"
# alternatively you can use local vision capable LLM
with open(file, "rb") as file_loaded:
files = {'file': file_loaded}
response = requests.post(doc2md_service, files=files, timeout=100)
data = response.json()["markdown"]
return data
try:
from pypdf import PdfReader
except ImportError:
raise ValueError("pypdf is required to read PDF files.")
text_list = []
with open(file, "rb") as fp:
# Create a PDF object
pdf = PdfReader(fp)
# Get the number of pages in the PDF document
num_pages = len(pdf.pages)
# Iterate over every page
for page_index in range(num_pages):
# Extract the text from the page
page = pdf.pages[page_index]
page_text = page.extract_text()
text_list.append(page_text)
text = "\n".join(text_list)
return text
class DocxParser(BaseParser):
"""Docx parser."""
def _init_parser(self) -> Dict:
"""Init parser."""
return {}
def parse_file(self, file: Path, errors: str = "ignore") -> str:
"""Parse file."""
try:
import docx2txt
except ImportError:
raise ValueError("docx2txt is required to read Microsoft Word files.")
text = docx2txt.process(file)
return text