From 8850ada3be569115d096a6ec70d4152e556a31d4 Mon Sep 17 00:00:00 2001
From: gilesb <giles.bradshaw@sigyl.com>
Date: Wed, 7 Jan 2026 12:04:47 +0000
Subject: [PATCH] feat: Docker support for L1 server
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- Dockerfile for L1 server/worker
- docker-compose.yml with Redis
- Environment variables for Redis URL and cache dir

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---
 Dockerfile         | 18 ++++++++++++++
 celery_app.py      |  7 ++++--
 docker-compose.yml | 58 ++++++++++++++++++++++++++++++++++++++++++++++
 server.py          | 13 ++++++++---
 4 files changed, 91 insertions(+), 5 deletions(-)
 create mode 100644 Dockerfile
 create mode 100644 docker-compose.yml

diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..4a7d979
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,18 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application
+COPY . .
+
+# Create cache directory
+RUN mkdir -p /data/cache
+
+ENV PYTHONUNBUFFERED=1
+
+# Default command runs the server
+CMD ["python", "server.py"]
diff --git a/celery_app.py b/celery_app.py
index 4f7aaf6..3e5a17e 100644
--- a/celery_app.py
+++ b/celery_app.py
@@ -5,12 +5,15 @@ Distributed rendering for the Art DAG system.
 Uses the foundational artdag language from GitHub.
 """
 
+import os
 from celery import Celery
 
+REDIS_URL = os.environ.get('REDIS_URL', 'redis://localhost:6379/5')
+
 app = Celery(
     'art_celery',
-    broker='redis://localhost:6379/5',
-    backend='redis://localhost:6379/5',
+    broker=REDIS_URL,
+    backend=REDIS_URL,
     include=['tasks']
 )
 
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 0000000..dd19548
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,58 @@
+version: "3.8"
+
+services:
+  redis:
+    image: redis:7-alpine
+    volumes:
+      - redis_data:/data
+    networks:
+      - artdag
+    deploy:
+      replicas: 1
+      restart_policy:
+        condition: on-failure
+
+  l1-server:
+    build: .
+    image: git.rose-ash.com/art-dag/l1-server:latest
+    ports:
+      - "8100:8100"
+    environment:
+      - REDIS_URL=redis://redis:6379/5
+    volumes:
+      - l1_cache:/data/cache
+    depends_on:
+      - redis
+    networks:
+      - artdag
+    deploy:
+      replicas: 1
+      restart_policy:
+        condition: on-failure
+
+  l1-worker:
+    build: .
+    image: git.rose-ash.com/art-dag/l1-server:latest
+    command: celery -A celery_app worker --loglevel=info
+    environment:
+      - REDIS_URL=redis://redis:6379/5
+    volumes:
+      - l1_cache:/data/cache
+      - effects:/app/effects
+    depends_on:
+      - redis
+    networks:
+      - artdag
+    deploy:
+      replicas: 2
+      restart_policy:
+        condition: on-failure
+
+volumes:
+  redis_data:
+  l1_cache:
+  effects:
+
+networks:
+  artdag:
+    driver: overlay
diff --git a/server.py b/server.py
index 8d463d7..febce99 100644
--- a/server.py
+++ b/server.py
@@ -21,16 +21,23 @@ from fastapi.responses import FileResponse
 from pydantic import BaseModel
 
 import redis
+from urllib.parse import urlparse
 
 from celery_app import app as celery_app
 from tasks import render_effect
 
-# Cache directory
-CACHE_DIR = Path.home() / ".artdag" / "cache"
+# Cache directory (use /data/cache in Docker, ~/.artdag/cache locally)
+CACHE_DIR = Path(os.environ.get("CACHE_DIR", str(Path.home() / ".artdag" / "cache")))
 CACHE_DIR.mkdir(parents=True, exist_ok=True)
 
 # Redis for persistent run storage
-redis_client = redis.Redis(host='localhost', port=6379, db=5)
+REDIS_URL = os.environ.get('REDIS_URL', 'redis://localhost:6379/5')
+parsed = urlparse(REDIS_URL)
+redis_client = redis.Redis(
+    host=parsed.hostname or 'localhost',
+    port=parsed.port or 6379,
+    db=int(parsed.path.lstrip('/') or 0)
+)
 RUNS_KEY_PREFIX = "artdag:run:"