89 lines
3.2 KiB
Markdown
89 lines
3.2 KiB
Markdown
# stackchain-dashboard
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Live AI-driven adaptive UI for the Stackchain AI Lab Gitea experience.
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## Local quickstart
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Python 3.11 or newer is recommended. Create an isolated environment and install
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the pinned dependencies:
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```bash
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python3 -m venv .venv
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source .venv/bin/activate
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python3 -m pip install -r requirements.txt
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```
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Point the dashboard at the Gitea server root (without `/api/v1`) and provide a
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token that can read dashboard data, update the authenticated user's notification
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threads, create and self-assign issues, create issue comments, close assigned
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issues, and submit pull-request reviews. Pull-request replies and mobile My Work
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issue comments use Gitea's issue-comment API; mobile issue capture requires issue
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creation and assignment permission, while closing an assigned issue and native
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Comment, Approve, and Request changes reviews require repository write permission.
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Serve the dashboard
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only to trusted users on its own origin; cross-origin API
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access is intentionally disabled. Then start the API and bundled frontend:
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```bash
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export GITEA_URL='https://forge.example.com'
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export GITEA_TOKEN='<read-notification-and-issue-write-token>'
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uvicorn src.main:app --host 127.0.0.1 --port 8000
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```
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Open `http://127.0.0.1:8000/` for the dashboard. To verify the backend and its
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Gitea connection directly, request
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`http://127.0.0.1:8000/api/v1/context`; a successful response is JSON containing
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`user`, `repos`, `issues`, and `pull_requests`. Never commit the token or place
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it in a tracked configuration file.
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For service monitoring, GET `/healthz` is a liveness check that confirms the
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API process is running and does not contact Gitea. GET `/readyz` is the
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readiness check: it validates the configured Gitea credentials and returns
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HTTP 503 with an error when Gitea is unavailable or authentication fails.
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Run the test suite with:
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```bash
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python3 -m pytest tests/ -q
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```
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## Autonomous release worker
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The deterministic issue-to-release engine lives at `src/release_engine.py`.
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It discovers or targets one Gitea issue, verifies its claim, creates an issue
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branch, invokes a configured coding agent, runs tests, pushes, and opens a
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linked pull request. Merge remains gated by CI/review; the existing release
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workflow drafts the release candidate after merge.
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Plan against live Gitea without mutating anything:
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```bash
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python3 -m src.release_engine \
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--repo stackchain/stackchain-dashboard \
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--agent timmy \
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--issue 14 \
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--dry-run
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```
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Execute one ticket after implementing and committing its change directly on
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the deterministic branch printed by `--dry-run`:
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```bash
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export GITEA_TOKEN='<scoped-token>'
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export RELEASE_AGENT_COMMAND=true
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python3 -m src.release_engine \
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--repo stackchain/stackchain-dashboard \
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--agent timmy \
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--issue 19 \
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--test-command 'python3 -m pytest tests/ -q'
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```
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`GITEA_TOKEN` needs issue and repository write scopes. The engine verifies the
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claim, reruns the test command, pushes the branch, and opens a PR containing
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`Closes #19` plus test evidence. Replace `19` with the selected issue number;
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do not run without `--issue` when processing a preselected ticket.
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Durable state defaults to `.release-engine/state.json`. Full behavior and
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safety gates are documented in
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[`docs/release-engine-spec.md`](docs/release-engine-spec.md).
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