build(env): extract Redis URL into env file

This could allow one to connect to a remote Redis instance with a powerful GPU, allowing one to offload the NLP work.

example.env

@@ -18,5 +18,10 @@ HF_HOME=/models/huggingface
 TRANSFORMERS_CACHE=/models/huggingface
 TORCH_HOME=/models/torch
 
-# Frontend
+# URLs
 FRONTEND_URL=http://localhost:5173
+BACKEND_URL=http://backend:5000
+REDIS_URL=redis://redis:6379/0
+
+# API & Scraping
+MAX_FETCH_LIMIT=1000

server/queue/celery_app.py

@@ -1,10 +1,15 @@
 from celery import Celery
+from dotenv import load_dotenv
+from server.utils import get_env
+
+load_dotenv()
+REDIS_URL = get_env("REDIS_URL")
 
 def create_celery():
     celery = Celery(
         "ethnograph",
-        broker="redis://redis:6379/0",
+        broker=REDIS_URL,
-        backend="redis://redis:6379/0",
+        backend=REDIS_URL,
     )
     celery.conf.task_serializer = "json"
     celery.conf.result_serializer = "json"