Jesse_Chen
124d3990b2
Keep async job and chart-cache files across API recreates, freeze jyotish_api_server.py growth, and fail fast with 429 when rectification or high-rigor compute is saturated. Co-authored-by: Cursor <cursoragent@cursor.com>
77 lines
2.1 KiB
YAML
77 lines
2.1 KiB
YAML
services:
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api:
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image: ${API_IMAGE:-jyotisha-api:local}
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build:
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context: ..
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dockerfile: deploy/railway-api.Dockerfile
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restart: unless-stopped
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env_file:
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- ${APP_ENV_FILE:-../.env.production}
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environment:
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PORT: 5200
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JYOTISH_ALLOWED_HOSTS: localhost,127.0.0.1,::1,api
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expose:
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- "5200"
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:5200/api/health', timeout=3)"]
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interval: 30s
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timeout: 5s
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retries: 5
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start_period: 30s
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start_interval: 1s
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volumes:
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# WORKDIR is /app (deploy/railway-api.Dockerfile). Chart cache, async job
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# files, and high-rigor job records live under scratch/local. Named volume
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# is created on first use; previous overlay data was ephemeral.
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- api_scratch:/app/scratch/local
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web:
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image: ${WEB_IMAGE:-jyotisha-web:local}
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build:
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context: ..
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dockerfile: deploy/railway-web.Dockerfile
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args:
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NEXT_PUBLIC_SUPABASE_URL: ${NEXT_PUBLIC_SUPABASE_URL:-}
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NEXT_PUBLIC_SUPABASE_ANON_KEY: ${NEXT_PUBLIC_SUPABASE_ANON_KEY:-}
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restart: unless-stopped
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env_file:
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- ${APP_ENV_FILE:-../.env.production}
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environment:
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GITHUB_SHA: ${GITHUB_SHA}
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PORT: 3000
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JYOTISH_API_BASE: http://api:5200
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expose:
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- "3000"
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healthcheck:
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test: ["CMD", "node", "-e", "fetch('http://127.0.0.1:3000/api/health').then(r=>{if(!r.ok)process.exit(1)})"]
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interval: 30s
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timeout: 5s
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retries: 5
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start_period: 30s
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start_interval: 1s
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depends_on:
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api:
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condition: service_healthy
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caddy:
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image: caddy:2-alpine
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restart: unless-stopped
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environment:
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SITE_ADDRESS: ${SITE_ADDRESS:-https://jyotisha.chat}
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ports:
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- "80:80"
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- "443:443"
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- "443:443/udp"
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volumes:
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- ${CADDYFILE_PATH:-./Caddyfile}:/etc/caddy/Caddyfile:ro
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- caddy_data:/data
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- caddy_config:/config
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depends_on:
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web:
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condition: service_healthy
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volumes:
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caddy_data:
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caddy_config:
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api_scratch:
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