DocsGPT/setup.sh

#!/bin/bash
cd "$(dirname "$0")" || exit

# Create the required directories on the host machine if they don't exist
[ ! -d "./application/indexes" ] && mkdir -p ./application/indexes
[ ! -d "./application/inputs" ] && mkdir -p ./application/inputs
[ ! -d "./application/vectors" ] && mkdir -p ./application/vectors

# Build frontend and backend images
docker build -t frontend_image ./frontend
docker build -t backend_image ./application

# Run redis and mongo services
docker run -d --name redis -p 6379:6379 redis:6-alpine
docker run -d --name mongo -p 27017:27017 -v mongodb_data_container:/data/db mongo:6

# Run backend and worker services
docker run -d --name backend -p 5001:5001 \
  --link redis:redis --link mongo:mongo \
  -v $(pwd)/application/indexes:/app/indexes \
  -v $(pwd)/application/inputs:/app/inputs \
  -v $(pwd)/application/vectors:/app/vectors \
  -e API_KEY=$OPENAI_API_KEY \
  -e EMBEDDINGS_KEY=$OPENAI_API_KEY \
  -e CELERY_BROKER_URL=redis://redis:6379/0 \
  -e CELERY_RESULT_BACKEND=redis://redis:6379/1 \
  -e MONGO_URI=mongodb://mongo:27017/docsgpt \
  backend_image

docker run -d --name worker \
  --link redis:redis --link mongo:mongo \
  -e API_KEY=$OPENAI_API_KEY \
  -e EMBEDDINGS_KEY=$OPENAI_API_KEY \
  -e CELERY_BROKER_URL=redis://redis:6379/0 \
  -e CELERY_RESULT_BACKEND=redis://redis:6379/1 \
  -e MONGO_URI=mongodb://mongo:27017/docsgpt \
  -e API_URL=http://backend:5001 \
  backend_image \
  celery -A app.celery worker -l INFO

# Run frontend service
docker run -d --name frontend -p 5173:5173 \
  -e VITE_API_HOST=http://localhost:5001 \
  frontend_image