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Building and Running Langflow as a Service #6719

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nasrullonurullaev opened this issue Feb 19, 2025 · 4 comments
Open

Building and Running Langflow as a Service #6719

nasrullonurullaev opened this issue Feb 19, 2025 · 4 comments
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question Further information is requested

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@nasrullonurullaev
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Hi Langflow team,

I'm interested in forking Langflow and running it as a self-hosted service. I want to fully build both the backend and frontend. Could you provide guidance on the following?

What are the key components of Langflow (backend, frontend, dependencies)?
How do I properly build and run the backend?
How do I build the frontend, and how should it be connected to the backend?
Are there any special environment variables or configurations needed?

@dosubot dosubot bot added the question Further information is requested label Feb 19, 2025
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dosubot bot commented Feb 19, 2025

Привет, @nasrullonurullaev!

Я здесь, чтобы помочь тебе с Langflow. Я бот, который может помочь тебе с решением проблем, ответами на вопросы и стать участником проекта.

To fork Langflow and run it as a self-hosted service, follow these steps:

  1. Fork and Clone the Repository:

    • Fork the Langflow repository on GitHub.
    • Clone your forked repository to your local machine:
      git clone https://github.com/your-username/langflow.git
      cd langflow
  2. Environment Configuration:

    • Use the .env.example file to set up your environment variables. Copy it to a new file named .env and modify it as needed:
      cp deploy/.env.example .env
    • Key configurations include:
      • Database: PostgreSQL settings (DB_USER, DB_PASSWORD, DB_HOST, DB_PORT, DB_NAME).
      • RabbitMQ: Message brokering (RABBITMQ_DEFAULT_USER, RABBITMQ_DEFAULT_PASS).
      • Redis: Caching (LANGFLOW_REDIS_HOST, LANGFLOW_REDIS_PORT, RESULT_BACKEND).
      • Frontend Proxy: (VITE_PROXY_TARGET, BACKEND_URL).
  3. Prepare the Development Environment:

    • Run make init to set up the development environment, which installs dependencies and builds the frontend:
      make init
  4. Build and Run the Backend:

    • The backend is Python-based. Ensure you have Poetry (>=1.4) installed. Run:
      make backend
    • This starts the backend development server.
  5. Build and Run the Frontend:

    • The frontend is built with React. Ensure Node.js is installed. Run:
      make frontend
    • This allows you to work on the frontend with hot-reloading.
  6. Docker Configuration:

    • If using Docker, ensure your docker-compose.yml is configured to use the .env file.
  7. Run the Services:

    • Use Docker Compose to start all services. The frontend will be available at localhost:3000 and the backend at localhost:7860:
      docker compose up --build
      # or
      make dev build=1

These steps will help you set up Langflow as a self-hosted service. Adjust configurations in the .env file as necessary to fit your environment [1][2][3].

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@nasrullonurullaev
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Thank you for your response.
Could you please advise me on how I can build Langflow as a Docker image in a GitHub Action and push it to Docker Hub?
Maybe you have a GitHub Action for this? I looked but couldn’t find one.

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dosubot bot commented Feb 21, 2025

To build Langflow as a Docker image in a GitHub Action and push it to Docker Hub, you can use the existing GitHub Action defined in the .github/workflows/docker-build.yml file. This workflow is designed to build and push Docker images to both Docker Hub and GitHub Container Registry.

Here is a summary of the steps involved in the workflow:

  1. Triggering the Workflow: The workflow can be triggered manually using workflow_dispatch or called by another workflow using workflow_call.

  2. Inputs: The workflow requires inputs such as main_version, base_version, release_type, and optionally pre_release.

  3. Jobs:

    • Get Version: This job determines the version to tag the Docker images with based on the input parameters.
    • Setup: This job sets up the Dockerfile and tags for the build process based on the input parameters.
    • Build Components: This job builds and pushes the Docker images to Docker Hub and GitHub Container Registry using docker/build-push-action@v6. It logs into Docker Hub and GitHub Container Registry using credentials stored in GitHub secrets (DOCKERHUB_USERNAME, DOCKERHUB_TOKEN, and TEMP_GHCR_TOKEN).

This workflow is already set up to build and push Docker images to Docker Hub and GitHub Container Registry, so you can use it as is, provided you have the necessary secrets configured in your GitHub repository [1][2].

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@nasrullonurullaev
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In which directory are the data related to components stored during local execution via Docker?

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