mirror of
https://github.com/tiennm99/DocsGPT.git
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Alex
574f96341e
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.
32 lines
921 B
Python
32 lines
921 B
Python
"""Image parser.
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Contains parser for .png, .jpg, .jpeg files.
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"""
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from pathlib import Path
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import requests
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from typing import Dict, Union
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from docsgpt.parser.file.base_parser import BaseParser
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from docsgpt.core.settings import settings
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class ImageParser(BaseParser):
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"""Image parser."""
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def _init_parser(self) -> Dict:
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"""Init parser."""
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return {}
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def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, list[str]]:
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if settings.PARSE_IMAGE_REMOTE:
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doc2md_service = "https://llm.arc53.com/doc2md"
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# alternatively you can use local vision capable LLM
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with open(file, "rb") as file_loaded:
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files = {'file': file_loaded}
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response = requests.post(doc2md_service, files=files, timeout=100)
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data = response.json()["markdown"]
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else:
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data = ""
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return data
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