Adds standalone server setup

infra.docker-compose.yml

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+version: "3.9"
+
+services:
+  db:
+    image: postgres:11
+    environment:
+      - POSTGRES_DB=${POSTGRES_DB:-db}
+      - POSTGRES_USER=${POSTGRES_USER:-user}
+      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-pass}
+    ports:
+      - "5432:5432"
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    networks:
+      - mynetwork
+
+  redis:
+    image: "redis:alpine"
+    ports:
+      - "6379:6379"
+    networks:
+      - mynetwork
+
+  fluentd:
+    build:
+      context: ./fluentd
+      dockerfile: Dockerfile
+    image: fluent/fluentd:v1.12-debian-1
+    volumes:
+      - ./fluentd/fluentd.conf:/fluentd/etc/fluent.conf
+    ports:
+      - "24224:24224"
+      - "24224:24224/udp"
+    networks:
+      - mynetwork
+
+networks:
+  mynetwork:
+
+volumes:
+  postgres_data:

start_all_services.sh

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+#!/bin/bash
+
+# Exit script on any error
+set -e
+
+# Step 1: Set environment variables (adjust as needed)
+export DJANGO_DEBUG=True
+export CELERY_BROKER_URL=redis://localhost:6379/0
+export CELERY_RESULT_BACKEND=redis://localhost:6379/0
+export REDIS_URL=redis://localhost:6379/0
+export POSTGRES_DB=db
+export POSTGRES_USER=user
+export POSTGRES_PASSWORD=pass
+export POSTGRES_HOST=localhost
+export POSTGRES_PORT=5432
+export FLUENTD_ADDRESS=localhost:24224
+# export OKTA_DOMAIN=your-okta-domain
+# export OKTA_CLIENT_ID=your-okta-client-id
+
+# Step 2: Set up Python virtual environment
+
+echo "Setting up Python virtual environment..."
+
+# Create the virtual environment using python3 -m venv
+if [ ! -d "venv" ]; then
+  python3 -m venv venv
+  echo "Virtual environment created successfully."
+fi
+
+# Activate the virtual environment
+source venv/bin/activate
+
+# Step 3: Install Python dependencies
+echo "Installing Python dependencies..."
+pip install --upgrade pip  # Upgrade pip to avoid any issues with older versions
+pip install -r requirements.txt
+
+# Step 4: Install frontend dependencies
+echo "Installing frontend dependencies..."
+cd web
+npm install
+
+# Step 5: Start the services
+
+# Start Django server
+echo "Starting Django server..."
+cd ..
+python manage.py runserver 0.0.0.0:8080 &
+
+# Start Celery workers
+echo "Starting Celery workers..."
+celery -A playbooks worker --concurrency=10 -l INFO -Ofair -Q celery --max-tasks-per-child=1000 --prefetch-multiplier=1 &
+
+# Start Workflow Scheduler Celery Worker
+echo "Starting Workflow Scheduler Celery Worker..."
+celery -A playbooks worker --concurrency=10 -l INFO -Ofair -Q workflow_scheduler --max-tasks-per-child=1000 --prefetch-multiplier=1 &
+
+# Start Workflow Executor Celery Worker
+echo "Starting Workflow Executor Celery Worker..."
+celery -A playbooks worker --concurrency=10 -l INFO -Ofair -Q workflow_executor --max-tasks-per-child=1000 --prefetch-multiplier=1 &
+
+# Start Workflow Action Execution Celery Worker
+echo "Starting Workflow Action Execution Celery Worker..."
+celery -A playbooks worker --concurrency=10 -l INFO -Ofair -Q workflow_action_execution --max-tasks-per-child=1000 --prefetch-multiplier=1 &
+
+# Start Celery Beat
+echo "Starting Celery Beat..."
+celery -A playbooks beat --loglevel=info &
+
+# Start the Web frontend
+echo "Starting the Web frontend..."
+cd web
+npm run build && npm run start &
+
+# Step 6: Verify services are running
+echo "All services started successfully. Monitoring logs..."
+
+# Keep the script running so that the services remain active
+tail -f /dev/null