Files
DocsGPT/docsgpt/parser/file/docs_parser.py
T
Alex 574f96341e refactor: rename the application package to docsgpt
The backend import package is now docsgpt, the name it will carry on PyPI;
application was far too generic to install into anyone's site-packages.
git mv plus a mechanical rewrite of every import, dotted string and path
reference: 734 Python files, the compose files, Dockerfile, workflows, docs,
setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage
config, .gitignore. Behaviour is unchanged.

Kept for one release:
- A top-level application package whose meta-path finder resolves
  application.x.y to the already-imported docsgpt.x.y object, so old imports
  and entry points (celery -A application.app.celery,
  uvicorn application.asgi:asgi_app) keep working with a FutureWarning.
- Celery registers every application.* task name as an alias of its
  docsgpt.* task on start-up, so messages queued by the previous release still
  run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries
  the previous release wrote are left unread instead of firing twice.

The backend image builds from the repository root (docker build -f
docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore
allow-lists docsgpt/ and application/ and keeps caches, local data, .env
files, the sample index files and the Dockerfile out. Compose and the image
workflows point at the new context.
2026-09-07 10:20:43 +01:00

70 lines
2.0 KiB
Python

"""Docs parser.
Contains parsers for docx, pdf files.
"""
from pathlib import Path
from typing import Dict
from docsgpt.parser.file.base_parser import BaseParser
from docsgpt.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