dify/docker

README for docker Deployment

Welcome to the new docker directory for deploying Dify using Docker Compose. This README outlines the updates, deployment instructions, and migration details for existing users.

What's Updated

• Persistent Environment Variables: Environment variables are now managed through a .env file, ensuring that your configurations persist across deployments.

  What is .env?
  
  The .env file is a crucial component in Docker and Docker Compose environments, serving as a centralized configuration file where you can define environment variables that are accessible to the containers at runtime. This file simplifies the management of environment settings across different stages of development, testing, and production, providing consistency and ease of configuration to deployments.

• Unified Vector Database Services: All vector database services are now managed from a single Docker Compose file docker-compose.yaml. You can switch between different vector databases by setting the VECTOR_STORE environment variable in your .env file.

• Mandatory .env File: A .env file is now required to run docker compose up. This file is crucial for configuring your deployment and for any custom settings to persist through upgrades.

• Legacy Support: Previous deployment files are now located in the docker-legacy directory and will no longer be maintained.

How to Deploy Dify with docker-compose.yaml

1. Prerequisites: Ensure Docker and Docker Compose are installed on your system.
2. Environment Setup:
   • Navigate to the docker directory.
   • Copy the .env.example file to a new file named .env by running cp .env.example .env.
   • Customize the .env file as needed. Refer to the .env.example file for detailed configuration options.
3. Running the Services:
   • Execute docker compose up from the docker directory to start the services.
   • To specify a vector database, set the VECTOR_store variable in your .env file to your desired vector database service, such as milvus, weaviate, or opensearch.

How to Deploy Middleware for Developing Dify

1. Middleware Setup:
   • Use the docker-compose.middleware.yaml for setting up essential middleware services like databases and caches.
   • Navigate to the docker directory.
   • Ensure the middleware.env file is created by running cp middleware.env.example middleware.env (refer to the middleware.env.example file).
2. Running Middleware Services:
   • Execute docker-compose -f docker-compose.middleware.yaml up -d to start the middleware services.

Migration for Existing Users

For users migrating from the docker-legacy setup:

1. Review Changes: Familiarize yourself with the new .env configuration and Docker Compose setup.
2. Transfer Customizations:
   • If you have customized configurations such as docker-compose.yaml, ssrf_proxy/squid.conf, or nginx/conf.d/default.conf, you will need to reflect these changes in the .env file you create.
3. Data Migration:
   • Ensure that data from services like databases and caches is backed up and migrated appropriately to the new structure if necessary.

Overview of .env

Key Modules and Customization

• Vector Database Services: Depending on the type of vector database used (VECTOR_STORE), users can set specific endpoints, ports, and authentication details.
• Storage Services: Depending on the storage type (STORAGE_TYPE), users can configure specific settings for S3, Azure Blob, Google Storage, etc.
• API and Web Services: Users can define URLs and other settings that affect how the API and web frontends operate.

Other notable variables

The .env.example file provided in the Docker setup is extensive and covers a wide range of configuration options. It is structured into several sections, each pertaining to different aspects of the application and its services. Here are some of the key sections and variables:

1. Common Variables:

   • CONSOLE_API_URL, SERVICE_API_URL: URLs for different API services.
   • APP_WEB_URL: Frontend application URL.
   • FILES_URL: Base URL for file downloads and previews.

2. Server Configuration:

   • LOG_LEVEL, DEBUG, FLASK_DEBUG: Logging and debug settings.
   • SECRET_KEY: A key for encrypting session cookies and other sensitive data.

3. Database Configuration:

   • DB_USERNAME, DB_PASSWORD, DB_HOST, DB_PORT, DB_DATABASE: PostgreSQL database credentials and connection details.

4. Redis Configuration:

   • REDIS_HOST, REDIS_PORT, REDIS_PASSWORD: Redis server connection settings.

5. Celery Configuration:

   • CELERY_BROKER_URL: Configuration for Celery message broker.

6. Storage Configuration:

   • STORAGE_TYPE, S3_BUCKET_NAME, AZURE_BLOB_ACCOUNT_NAME: Settings for file storage options like local, S3, Azure Blob, etc.

7. Vector Database Configuration:

   • VECTOR_STORE: Type of vector database (e.g., weaviate, milvus).
   • Specific settings for each vector store like WEAVIATE_ENDPOINT, MILVUS_HOST.

8. CORS Configuration:

   • WEB_API_CORS_ALLOW_ORIGINS, CONSOLE_CORS_ALLOW_ORIGINS: Settings for cross-origin resource sharing.

9. Other Service-Specific Environment Variables:

   • Each service like nginx, redis, db, and vector databases have specific environment variables that are directly referenced in the docker-compose.yaml.

Additional Information

• Continuous Improvement Phase: We are actively seeking feedback from the community to refine and enhance the deployment process. As more users adopt this new method, we will continue to make improvements based on your experiences and suggestions.
• Support: For detailed configuration options and environment variable settings, refer to the .env.example file and the Docker Compose configuration files in the docker directory.

This README aims to guide you through the deployment process using the new Docker Compose setup. For any issues or further assistance, please refer to the official documentation or contact support.