ci: require manual GitHub Actions runs
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@@ -1,10 +1,7 @@
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name: Jyotish Skill CI
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on:
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push:
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branches: [main]
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pull_request:
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branches: [main]
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workflow_dispatch:
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jobs:
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validate:
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@@ -1,9 +1,6 @@
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name: Deploy production
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on:
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workflow_run:
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workflows: ["Jyotish Skill CI"]
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types: [completed]
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workflow_dispatch:
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permissions:
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@@ -21,11 +18,6 @@ env:
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jobs:
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deploy:
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if: >-
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github.event_name == 'workflow_dispatch' ||
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(github.event.workflow_run.conclusion == 'success' &&
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github.event.workflow_run.event == 'push' &&
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github.event.workflow_run.head_branch == 'main')
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runs-on: ubuntu-latest
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timeout-minutes: 30
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@@ -33,7 +25,7 @@ jobs:
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- name: Checkout tested revision
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uses: actions/checkout@v4
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with:
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ref: ${{ github.event.workflow_run.head_sha || github.sha }}
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ref: ${{ github.sha }}
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- name: Configure SSH
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env:
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@@ -46,7 +38,7 @@ jobs:
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- name: Sync and rebuild
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env:
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DEPLOY_GIT_SHA: ${{ github.event.workflow_run.head_sha || github.sha }}
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DEPLOY_GIT_SHA: ${{ github.sha }}
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run: |
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SSH_OPTIONS="-i $HOME/.ssh/jyotisha-production -p $DEPLOY_PORT -o BatchMode=yes -o IdentitiesOnly=yes -o ServerAliveInterval=30 -o ServerAliveCountMax=20"
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RSYNC_SSH="ssh $SSH_OPTIONS"
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@@ -1,9 +1,6 @@
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name: Publish to PyPI
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on:
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push:
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tags:
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- 'v*'
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workflow_dispatch:
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permissions:
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@@ -2,13 +2,6 @@ name: Jyotish Release Quality Gate
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on:
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workflow_dispatch:
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pull_request:
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branches: [main]
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paths:
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- '.github/workflows/release-quality-gate.yml'
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- 'frontend/**'
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- 'scripts/run_quality_gate.py'
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- 'tests/**'
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jobs:
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release-quality-gate:
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@@ -1,10 +1,7 @@
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name: Jyotish Skill Tests
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on:
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push:
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branches: [main]
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pull_request:
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branches: [main]
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workflow_dispatch:
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jobs:
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test:
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@@ -22,7 +22,7 @@ Deployment safety rules:
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3. Keep Supabase Auth Site URL and redirect URLs aligned with `https://jyotisha.chat`.
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4. After deployment, verify `/login`, logged-out `/api/account` = `401`, internal `/api/health` = `200`, and `swisseph_available = true`.
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5. Never expose port `5200`, `SUPABASE_SERVICE_ROLE_KEY`, model keys, user JWTs, passwords, or SSH private keys.
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6. Pushes to `main` deploy automatically only after `Jyotish Skill CI` succeeds; the production workflow and required secret are documented in `deploy/README.md`.
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6. GitHub Actions workflows are manual-only. Run the required validation workflows from the Actions page before manually starting production deployment; the production workflow and required secret are documented in `deploy/README.md`.
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## 1. High-Rigor Override
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+3
-3
@@ -118,9 +118,9 @@ docker stats --no-stream
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The server has a persistent 2 GB `/swapfile`. UFW permits only SSH `22000/tcp`, HTTP `80/tcp`, HTTPS `443/tcp`, and the pre-existing WireGuard `51820/udp` rule.
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## Automatic deployment
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## Manual deployment with GitHub Actions
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A successful `Jyotish Skill CI` run for a push to `main` triggers `.github/workflows/deploy-production.yml`. The workflow syncs the tested revision with `rsync`, preserves `/opt/jyotisha-app/.env.production`, rebuilds both Docker services, and verifies the public login route, logged-out account response, and private Python health endpoint.
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Pushes and pull requests do not start GitHub Actions automatically. Run the required validation workflows from the Actions page, then manually start `.github/workflows/deploy-production.yml` for the tested branch. The deployment workflow syncs that revision with `rsync`, preserves `/opt/jyotisha-app/.env.production`, rebuilds both Docker services, and verifies the public login route, logged-out account response, and private Python health endpoint.
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Required GitHub Actions secret:
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@@ -128,7 +128,7 @@ Required GitHub Actions secret:
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PRODUCTION_SSH_PRIVATE_KEY = dedicated production deploy private key
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```
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The workflow pins the VPS Ed25519 host key and serializes deployments with the `production` concurrency group. It can also be run manually from GitHub Actions.
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The workflow pins the VPS Ed25519 host key and serializes deployments with the `production` concurrency group.
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## Manual deployment fallback
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