Files
DocsGPT/.github/workflows/bandit.yaml
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

40 lines
988 B
YAML

name: Bandit Security Scan
on:
push:
branches:
- main
pull_request:
types: [opened, synchronize, reopened]
jobs:
bandit_scan:
if: ${{ github.repository == 'arc53/DocsGPT' }}
runs-on: ubuntu-latest
permissions:
security-events: write
actions: read
contents: read
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.12'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install bandit # Bandit is needed for this action
if [ -f docsgpt/requirements.txt ]; then pip install -r docsgpt/requirements.txt; fi
- name: Run Bandit scan
uses: PyCQA/bandit-action@v1
with:
severity: medium
confidence: medium
targets: docsgpt/
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}