acf6fc1103
- apps/api/Dockerfile: multi-stage build, runs prisma migrate deploy on
boot. Workspace package.json "main/exports" rewritten to dist so Node
ESM resolves compiled JS at runtime.
- apps/web/Dockerfile + nginx.conf: static build served by nginx with
SPA fallback, gzip, cache-bust on hashed assets, and /api reverse
proxy to the internal api service.
- docker-compose.yml: production-oriented stack — api (SQLite on a
named volume), web (exposes WEB_PORT), redis (for the upcoming
worker). Postgres dropped since schema still targets SQLite.
- .dockerignore: keep build context lean.
- ci: add docker job gated on push-to-main that builds and pushes both
images to ${{ vars.REGISTRY_URL }} using ${{ secrets.REGISTRY_TOKEN }}.
Tags :latest + :${github.sha}.
75 lines
1.9 KiB
YAML
75 lines
1.9 KiB
YAML
# Vector — single-instance production deployment.
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#
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# Quick start:
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# 1. Create a .env file next to this compose file containing at minimum:
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# JWT_SECRET=<64+ char random hex>
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# CLIENT_ORIGIN=http://your-host:8080
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# WEB_PORT=8080
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# For registry-pushed images (optional):
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# REGISTRY_URL=registry.example.com/josh
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# TAG=latest
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#
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# 2. Bring up the stack:
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# docker compose up -d --build
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# or pull pre-built images from the registry:
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# docker compose pull && docker compose up -d
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#
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# Data lives in the `vector-data` volume (SQLite db). Redis is included
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# in anticipation of the BullMQ worker follow-up; the API does not yet
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# depend on it.
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x-restart: &restart
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restart: unless-stopped
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services:
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api:
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<<: *restart
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image: ${REGISTRY_URL:-vector}/vector-api:${TAG:-latest}
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build:
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context: .
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dockerfile: apps/api/Dockerfile
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environment:
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NODE_ENV: production
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PORT: 3001
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DATABASE_URL: file:/data/vector.db
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JWT_SECRET: ${JWT_SECRET:?JWT_SECRET is required — see .env.example}
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CLIENT_ORIGIN: ${CLIENT_ORIGIN:-http://localhost:8080}
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volumes:
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- vector-data:/data
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healthcheck:
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test: ["CMD-SHELL", "wget -qO- http://localhost:3001/healthz || exit 1"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 20s
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depends_on:
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redis:
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condition: service_healthy
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web:
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<<: *restart
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image: ${REGISTRY_URL:-vector}/vector-web:${TAG:-latest}
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build:
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context: .
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dockerfile: apps/web/Dockerfile
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ports:
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- "${WEB_PORT:-8080}:80"
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depends_on:
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api:
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condition: service_healthy
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redis:
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<<: *restart
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image: redis:7-alpine
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volumes:
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- vector-redisdata:/data
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 5s
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timeout: 3s
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retries: 10
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volumes:
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vector-data:
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vector-redisdata:
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