docker-compose.yml

# ABOUTME: Master compose -- one unified project containing the substrate
# (temporal + caddy) and every service via `include:`. Lives at the root of the
# infrastructure repo and is what `docker compose` discovers when run from here.
#
# Day-2 service control:
#   just up <target>          (target: all | bot | middleware | temporal)
#   just down <target>
#   just restart <target>
#   just logs <target>
# Or call docker compose directly:
#   docker compose up -d
#   docker compose stop pytexbot
#   docker compose logs -f web

include:
  - ./pretix-discord-middleware/docker-compose.yml
  - ./pytexas-discord-bot/docker-compose.yaml

services:
  # Master substrate -- prefixed `pytexas-` to avoid colliding with services
  # the per-repo composes may define (e.g. the middleware's profile-gated
  # standalone `caddy` and `temporal`). The `aliases` block lets included
  # services keep reaching us by their familiar short names ("temporal:7233").
  pytexas-temporal:
    build:
      context: .
      dockerfile: temporal.Dockerfile
    env_file: .env
    command:
      - --tailscale-hostname=${TS_HOSTNAME:-pytexas-temporal}
      # Persist tsnet identity in the temporal_tsstate volume so the tailnet
      # node name stays stable across container restarts. Without this, tsnet
      # writes state to ~/.config/tsnet-<hostname>/ (not in any volume) and
      # each restart registers as a fresh node, getting a "-N" suffix.
      - --tailscale-state-dir=/var/lib/tailscale
      - --ip=0.0.0.0
      - --db-filename=/data/temporal.db
    volumes:
      - temporal_data:/data
      - temporal_tsstate:/var/lib/tailscale
    networks:
      default:
        aliases:
          - temporal
    restart: unless-stopped

  pytexas-caddy:
    image: caddy:2
    env_file: .env
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./Caddyfile:/etc/caddy/Caddyfile:ro
      - caddy_data:/data
      - caddy_config:/config
    restart: unless-stopped

volumes:
  temporal_data:
  temporal_tsstate:
  caddy_data:
  caddy_config: