stackchain-dashboard

Live AI-driven adaptive UI for the Stackchain AI Lab Gitea experience.

Local quickstart

Python 3.11 or newer is recommended. Create an isolated environment and install the pinned dependencies:

python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install -r requirements.txt

Point the dashboard at the Gitea server root (without /api/v1) and provide a token that can read dashboard data, update the authenticated user's notification threads, create and self-assign issues, create issue comments, close assigned issues, and submit pull-request reviews. Pull-request replies and mobile My Work issue comments use Gitea's issue-comment API; mobile issue capture requires issue creation and assignment permission, while closing an assigned issue and native Comment, Approve, and Request changes reviews require repository write permission. Serve the dashboard only to trusted users on its own origin; cross-origin API access is intentionally disabled. Then start the API and bundled frontend:

export GITEA_URL='https://forge.example.com'
export GITEA_TOKEN='<read-notification-and-issue-write-token>'
uvicorn src.main:app --host 127.0.0.1 --port 8000

Open http://127.0.0.1:8000/ for the dashboard. To verify the backend and its Gitea connection directly, request http://127.0.0.1:8000/api/v1/context; a successful response is JSON containing user, repos, issues, and pull_requests. Never commit the token or place it in a tracked configuration file.

For service monitoring, GET /healthz is a liveness check that confirms the API process is running and does not contact Gitea. GET /readyz is the readiness check: it validates the configured Gitea credentials and returns HTTP 503 with an error when Gitea is unavailable or authentication fails.

Run the test suite with:

python3 -m pytest tests/ -q

Autonomous release worker

The deterministic issue-to-release engine lives at src/release_engine.py. It discovers or targets one Gitea issue, verifies its claim, creates an issue branch, invokes a configured coding agent, runs tests, pushes, and opens a linked pull request. Merge remains gated by CI/review; the existing release workflow drafts the release candidate after merge.

Plan against live Gitea without mutating anything:

python3 -m src.release_engine \
  --repo stackchain/stackchain-dashboard \
  --agent timmy \
  --issue 14 \
  --dry-run

Execute one ticket after implementing and committing its change directly on the deterministic branch printed by --dry-run:

export GITEA_TOKEN='<scoped-token>'
export RELEASE_AGENT_COMMAND=true
python3 -m src.release_engine \
  --repo stackchain/stackchain-dashboard \
  --agent timmy \
  --issue 19 \
  --test-command 'python3 -m pytest tests/ -q'

GITEA_TOKEN needs issue and repository write scopes. The engine verifies the claim, reruns the test command, pushes the branch, and opens a PR containing Closes #19 plus test evidence. Replace 19 with the selected issue number; do not run without --issue when processing a preselected ticket.

Durable state defaults to .release-engine/state.json. Full behavior and safety gates are documented in docs/release-engine-spec.md.