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.
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Welcome to DocsGPT Devcontainer
Welcome to the DocsGPT development environment! This guide will help you get started quickly.
Starting Services
To run DocsGPT, you need to start three main services: Flask (backend), Celery (task queue), and Vite (frontend). Here are the commands to start each service within the devcontainer:
Vite (Frontend)
cd frontend
npm run dev -- --host
Backend (ASGI)
Run the full app under uvicorn (serves /mcp and the async SSE reconnect
routes, and matches production):
uvicorn docsgpt.asgi:asgi_app --host 0.0.0.0 --port 7091 --reload
flask --app docsgpt/app.py run --host=0.0.0.0 --port=7091 is faster but
serves only the WSGI Flask app — it omits /mcp and the reconnect reader
GET /api/messages/<id>/events, so a dropped stream won't auto-resume.
Celery (Task Queue)
celery -A docsgpt.app.celery worker -l INFO -Q docsgpt,parsing,embeddings
The parsing queue serves document parsing (the read_document tool / workflow
native-file parse); without it those calls hang DOCUMENT_PARSE_TIMEOUT then
error. A dedicated -Q parsing worker can be GPU-enabled for heavier parsers.
Github Codespaces Instructions
1. Make Ports Public:
Go to the "Ports" panel in Codespaces (usually located at the bottom of the VS Code window).
For both port 5173 and 7091, right-click on the port and select "Make Public".
2. Update VITE_API_HOST:
After making port 7091 public, copy the public URL provided by Codespaces for port 7091.
Open the file frontend/.env.development.
Find the line VITE_API_HOST=http://localhost:7091.
Replace http://localhost:7091 with the public URL you copied from Codespaces.