Files
RosterChief/compose.yaml
Bernard Siebens adf1120358 Checkpoint: management app redesign, onboarding/signup workflow, and events calendar backend
Large uncommitted body of work accumulated across sessions on this branch --
committing as a checkpoint so it's tracked and future worktree-isolated agents
see the real codebase instead of a stale ancestor commit. Covers the
management app's dedicated Tailwind theme and templates, the club onboarding
requirement/signup workflow (club/services/onboarding.py, requirement/status
models, sign-up dashboard), fee/status auto-activation decoupling, referee
management, and the new events calendar grid service layer.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01ECGMEwrc2k4D8VQuwjstj9
2026-08-19 23:34:43 +02:00

130 lines
5.3 KiB
YAML

# One server. The same image and the same environment variables run a multi-server
# deployment: point DJANGO_DATABASE_URL / DJANGO_REDIS_URL at your central services, set a
# bucket, drop the `db` and `redis` services, and run several `web` containers behind a load
# balancer. Nothing in the code changes.
name: rosterchief
services:
caddy:
build:
context: ./deploy/caddy
restart: unless-stopped
ports:
- "80:80"
- "443:443"
- "443:443/udp"
environment:
# A wildcard certificate for *.rosterchief.app cannot be issued over HTTP-01 — Let's
# Encrypt only does wildcards via DNS-01. That is why Caddy needs a DNS API token, and
# why this image is built with the provider's DNS plugin rather than pulled as-is.
ROSTERCHIEF_BASE_DOMAIN: ${ROSTERCHIEF_BASE_DOMAIN:?set the base domain, e.g. rosterchief.app}
ACME_EMAIL: ${ACME_EMAIL:?set an email for Let's Encrypt}
CLOUDFLARE_API_TOKEN: ${CLOUDFLARE_API_TOKEN:?DNS-01 needs an API token with DNS:Edit on the zone}
volumes:
- ./deploy/caddy/Caddyfile:/etc/caddy/Caddyfile:ro
- caddy_data:/data
- caddy_config:/config
# Read-only: Caddy serves club logos straight off disk instead of round-tripping every
# image request through a gunicorn worker. Same volume `web` writes uploads into.
- media_data:/srv/media:ro
depends_on:
- web
web:
build: .
restart: unless-stopped
env_file: .env.production
volumes:
# Uploaded club logos, while storage is local disk (see rosterchief/urls.py). Without
# this, a rebuild or recreate wipes MEDIA_ROOT even though the container itself keeps
# running fine in between.
- media_data:/app/media
# Private uploads (e.g. a member's medical certificate -- see rosterchief/storage.py).
# Deliberately NOT mounted into `caddy` below, unlike media_data: nothing should be able
# to serve this except the authenticated Django view that reads it.
- private_media_data:/app/private_media
depends_on:
db:
condition: service_healthy
redis:
condition: service_started
healthcheck:
test: ["CMD", "curl", "-fsS", "http://localhost:8000/healthz"]
interval: 30s
timeout: 5s
retries: 3
start_period: 20s
worker:
build: .
restart: unless-stopped
env_file: .env.production
# The scheduled platform jobs (see billing/tasks.py, club/tasks.py, events/tasks.py) run
# here, dispatched by `beat` below over the same Redis `web` uses as a cache — see
# rosterchief/settings.py's "Task queue (Celery)" section. Several of these are safe to
# scale; `beat` is not (see its own comment).
command: ["celery", "-A", "rosterchief", "worker", "--loglevel=info", "--concurrency=2"]
volumes:
- media_data:/app/media
depends_on:
db:
condition: service_healthy
redis:
condition: service_started
beat:
build: .
restart: unless-stopped
env_file: .env.production
# The scheduler -- decides *when* each task in CELERY_BEAT_SCHEDULE fires and hands it to
# a worker. Run exactly ONE of these: two beats would each independently decide it's time
# and every job runs twice (two archive_overdue_clubs runs is two emails to the same club,
# same reasoning as the old crontab's "exactly one node" -- see DEPLOYMENT.md).
command: ["celery", "-A", "rosterchief", "beat", "--loglevel=info"]
depends_on:
db:
condition: service_healthy
redis:
condition: service_started
db:
image: postgres:17-alpine
restart: unless-stopped
environment:
POSTGRES_DB: ${POSTGRES_DB:-rosterchief}
POSTGRES_USER: ${POSTGRES_USER:-rosterchief}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?set a database password}
# shared_buffers/max_connections default to 128MB / 100 — sized for a much bigger database
# than this app's (DEPLOYMENT.md: ~0.2GB after 5 years). 20 connections is comfortably above
# 2 gunicorn workers x 4 threads plus the odd `manage.py` one-off; trimmed both for the box,
# not for the data.
command: ["postgres", "-c", "shared_buffers=64MB", "-c", "max_connections=20"]
volumes:
- pgdata:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-rosterchief}"]
interval: 10s
timeout: 5s
retries: 5
redis:
image: redis:7-alpine
restart: unless-stopped
# Doubles as the Celery broker/result backend for `worker`/`beat` (see rosterchief/settings.py)
# as well as the cache. maxmemory-policy allkeys-lru is right for a cache — evict rather than
# grow unbounded — but it means a queued task message COULD be evicted under memory pressure
# before a worker consumes it, same as a Redis restart drops anything queued (--save "",
# --appendonly no: nothing here persists by design). Acceptable at this job volume (five
# scheduled tasks a day; a missed one runs at its next scheduled time regardless, per
# CELERY_BEAT_SCHEDULE); if that stops being true, give Celery its own Redis instance rather
# than changing this cache's eviction policy to suit it.
command: ["redis-server", "--save", "", "--appendonly", "no", "--maxmemory", "32mb", "--maxmemory-policy", "allkeys-lru"]
volumes:
pgdata:
caddy_data:
caddy_config:
media_data:
private_media_data: