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feat(swarm): create a stack for socrates
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‎docker/swarm/README.md‎

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> Labels are used for placement constraints in the docker stack templates.
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Here are some example lables for the nodes. Adjust as needed
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- Get the node ids using `docker node ls` on the manager node.
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- On the manager node
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docker node update --label-add "api.variant=org" <node id>
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```
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Socrates
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```shell
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docker node update --label-add "socrates.enabled=true" <node id>
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```
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```shell
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docker node update --label-add "socrates.variant=dev" <node id>
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docker node update --label-add "socrates.variant=org" <node id>
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```
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4. Deploy [Portainer](stacks/portainer/README.md).
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5. Complete the Portainer setup wizard & add the cluster to Portainer.
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6. Add the container registry details to Portainer.
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7. Deploy all the remaining stacks via Portainer. Note that you should not manage the portainer stack from within Portainer UI.
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7. Deploy all the remaining stacks via Portainer, including [Socrates](stacks/socrates/README.md). Note that you should not manage the portainer stack from within Portainer UI.

‎docker/swarm/stacks/socrates/.env.sample‎

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# -- Docker Configuration
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DOCKER_REGISTRY=
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DEPLOYMENT_ENV=
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DEPLOYMENT_VERSION=
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# -- Runtime
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NODE_ENV=production
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SERVER_URL=
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# ALLOWED_ORIGINS=*
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# LOG_LEVEL=info
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# -- Authentication
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API_KEY=
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DOCS_BASIC_AUTH_USER=
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DOCS_BASIC_AUTH_PASS=
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# -- Groq AI
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GROQ_API_KEY=
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# GROQ_MODEL=openai/gpt-oss-20b
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# GROQ_MODEL_HTML=openai/gpt-oss-20b
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# GROQ_MODEL_CSS=openai/gpt-oss-20b
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# GROQ_MODEL_JAVASCRIPT=openai/gpt-oss-120b
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# GROQ_MODEL_PYTHON=openai/gpt-oss-120b
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# GROQ_TIMEOUT_MS=30000
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# GROQ_MAX_RETRIES=2
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# GROQ_BACKOFF_BASE_MS=500
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# GROQ_MAX_TOKENS=1024
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# GROQ_MAX_TOKENS_RETRY=2048
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# -- Circuit Breaker
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# MODEL_CB_FAILURES=3
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# MODEL_CB_COOLDOWN_MS=30000
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# -- Rate Limiting
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# PER_USER_LIMIT=10
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# GLOBAL_LIMIT=1000
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# -- Resource Limits
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# CPU_LIMIT=1
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# MEMORY_LIMIT=1G

‎docker/swarm/stacks/socrates/README.md‎

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# Socrates Stack
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Docker Swarm stack configuration for the Socrates AI hints API with Redis sidecar for caching and rate limiting.
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## Overview
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The Socrates stack provides the AI-powered hints API for freeCodeCamp coding challenges. It includes a Redis sidecar for caching and rate limiting. Services are deployed per environment with environment-specific configuration.
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## Components
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| Service | Purpose |
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| ------------ | ------------------------------------------ |
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| **socrates** | AI-powered hints API for coding challenges |
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| **redis** | Cache and rate limiting (sidecar) |
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## Deployment
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Name stacks per environment (e.g., `prd-socrates`, `stg-socrates`):
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```bash
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# Set context and deploy
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docker context use <context_name>
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docker stack deploy -c stack-socrates.yml stg-socrates
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docker stack deploy -c stack-socrates.yml prd-socrates
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```
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Then configure environment variables in Portainer UI for the deployed stack.
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## Configuration
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1. Copy `.env.sample` to `.env`
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2. Set required environment variables in Portainer UI
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3. Redeploy stack to apply changes
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## Node Labels
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Nodes running Socrates services require specific labels:
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```shell
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docker node update --label-add "socrates.enabled=true" <node id>
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docker node update --label-add "socrates.variant=dev" <node id>
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# or
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docker node update --label-add "socrates.variant=org" <node id>
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```
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## Notes
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- Environment-specific naming allows managing multiple Socrates deployments
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- All configuration is managed through Portainer

‎docker/swarm/stacks/socrates/stack-socrates.yml‎

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x-deploy-config: &deploy-config
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deploy:
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replicas: 2
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placement:
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max_replicas_per_node: 1
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constraints:
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- node.labels.socrates.enabled == true
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- node.labels.socrates.variant == ${DEPLOYMENT_ENV}
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preferences:
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- spread: node.labels.socrates.variant == ${DEPLOYMENT_ENV}
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update_config:
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parallelism: 1
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delay: 10s
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failure_action: rollback
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resources:
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limits:
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cpus: ${CPU_LIMIT:-1}
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memory: ${MEMORY_LIMIT:-1G}
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reservations:
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memory: 512M
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restart_policy:
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condition: any
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labels:
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- org.freecodecamp.autoupdate=true
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x-port-config: &port-config
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target: 3000
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protocol: tcp
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mode: host
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services:
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svc-socrates:
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image: ${DOCKER_REGISTRY}/${DEPLOYMENT_ENV}/socrates:${DEPLOYMENT_VERSION}
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ports:
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- published: 4010
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<<: *port-config
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<<: *deploy-config
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healthcheck:
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test:
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[
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"CMD-SHELL",
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"wget --no-verbose --spider http://localhost:3000/health || exit 1",
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]
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interval: 30s
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timeout: 5s
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start_period: 15s
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retries: 3
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environment:
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# Runtime
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- NODE_ENV=${NODE_ENV:-production}
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- PORT=3000
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- SERVER_URL=${SERVER_URL}
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- ALLOWED_ORIGINS=${ALLOWED_ORIGINS:-*}
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- LOG_LEVEL=${LOG_LEVEL:-info}
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# Redis (overlay network service discovery)
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- REDIS_URL=redis://svc-redis:6379
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# Authentication
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- API_KEY=${API_KEY}
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- DOCS_BASIC_AUTH_USER=${DOCS_BASIC_AUTH_USER}
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- DOCS_BASIC_AUTH_PASS=${DOCS_BASIC_AUTH_PASS}
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# Groq AI
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- GROQ_API_KEY=${GROQ_API_KEY}
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- GROQ_MODEL=${GROQ_MODEL:-openai/gpt-oss-20b}
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- GROQ_MODEL_HTML=${GROQ_MODEL_HTML:-openai/gpt-oss-20b}
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- GROQ_MODEL_CSS=${GROQ_MODEL_CSS:-openai/gpt-oss-20b}
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- GROQ_MODEL_JAVASCRIPT=${GROQ_MODEL_JAVASCRIPT:-openai/gpt-oss-120b}
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- GROQ_MODEL_PYTHON=${GROQ_MODEL_PYTHON:-openai/gpt-oss-120b}
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- GROQ_TIMEOUT_MS=${GROQ_TIMEOUT_MS:-30000}
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- GROQ_MAX_RETRIES=${GROQ_MAX_RETRIES:-2}
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- GROQ_BACKOFF_BASE_MS=${GROQ_BACKOFF_BASE_MS:-500}
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- GROQ_MAX_TOKENS=${GROQ_MAX_TOKENS:-1024}
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- GROQ_MAX_TOKENS_RETRY=${GROQ_MAX_TOKENS_RETRY:-2048}
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# Circuit Breaker
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- MODEL_CB_FAILURES=${MODEL_CB_FAILURES:-3}
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- MODEL_CB_COOLDOWN_MS=${MODEL_CB_COOLDOWN_MS:-30000}
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# Rate Limiting
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- PER_USER_LIMIT=${PER_USER_LIMIT:-10}
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- GLOBAL_LIMIT=${GLOBAL_LIMIT:-1000}
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svc-redis:
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image: redis:7.4-alpine
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command: ["redis-server", "--appendonly", "yes"]
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volumes:
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- redis_data:/data
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 5s
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start_period: 5s
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retries: 3
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deploy:
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replicas: 1
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placement:
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constraints:
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- node.labels.socrates.enabled == true
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- node.labels.socrates.variant == ${DEPLOYMENT_ENV}
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update_config:
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parallelism: 1
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failure_action: rollback
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resources:
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limits:
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memory: 256M
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reservations:
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memory: 128M
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restart_policy:
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condition: any
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volumes:
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redis_data:

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