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, inspect/comment on assigned pull requests, merge assigned pull requests, and submit pull-request reviews. Pull-request replies and mobile My Work issue and PR comments use Gitea's issue-comment API; mobile issue capture requires issue creation and assignment permission. Closing an assigned issue, native Comment, Approve, and Request changes reviews, and assigned-PR merge require repository write permission. Native Comment, Approve, and Request changes reviews support head-scoped draft comments anchored to changed lines; the dashboard validates each comment path and submits the summary, decision, and inline comments in one review request. The dashboard rechecks the current pull-request head, CI success, draft state, and mergeability immediately before every merge. 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.