Expose Backend

Goal

Turn a Python module into a remotely callable backend service using Graftcode Gateway - no frameworks, no REST routes, no OpenAPI specs needed.

What You'll See

• Create a small Python module with public methods.
• Host it through Graftcode Gateway using Docker.
• Explore the exposed methods in Graftcode Vision - your service is now accessible from any app as a strongly-typed client.

Prerequisites

• Docker installed and running
• Python installed locally

Step 1. Create a project folder

Create a new folder and initialize a Python project:

mkdir py-energy-service
cd py-energy-service

Step 2. Write a Python module with public methods

Create a file energy_price_calculator.py:

import random

class EnergyPriceCalculator:
    @staticmethod
    def get_price() -> int:        
        return random.randint(100, 104)

Create module meta data file pyproject.toml:

[project]
name = "energy-service"
version = "1.0.0"
requires-python = ">=3.8"
description = "Test module for local directory analysis"

This is a plain Python class - no decorators, no frameworks, no special annotations. Any public method you write here will automatically become available for remote consumption once hosted through Graftcode Gateway.

Step 3. Host it with Graftcode Gateway

Create a Dockerfile in the project root:

FROM python:3.13-bookworm

WORKDIR /usr/app

COPY ./energy_price_calculator.py /usr/app/energy-service/
COPY ./pyproject.toml /usr/app/energy-service/

RUN apt-get update \ 
 && apt-get install -y wget \
 && wget -O /usr/app/gg.deb https://github.com/grft-dev/graftcode-gateway/releases/latest/download/gg_linux_amd64.deb \
 && dpkg -i /usr/app/gg.deb \
 && rm /usr/app/gg.deb \
 && apt-get clean \
 && rm -rf /var/lib/apt/lists/*

EXPOSE 80
EXPOSE 81

CMD ["gg","--modules","./energy-service/"]

The key line is the last one - gg (Graftcode Gateway) reads your setup.py, discovers all public methods in your module, and exposes them automatically. Port 80 handles service calls, port 81 serves Graftcode Vision.

Build and run the container:

docker build --no-cache --pull -t myenergyservice-py:test .
docker run -d -p 80:80 -p 81:81 --name graftcode_demo_py myenergyservice-py:test

Your Python service is now running and exposed through Graftcode Gateway.

Step 4. Explore the service in Graftcode Vision

Open http://localhost:81/GV in your browser.

You will see all public methods from your Python module - their names, parameter types, and return types. Graftcode Vision also provides:

• A "Try it out" button to call methods live, directly from the browser.
• A package manager command (npm, NuGet, PyPI, etc.) to install this service as a strongly-typed client in any other application.

Step 5. Run with a Project Key (recommended for real-world usage)

Everything above works without any account - perfect for learning and local development. When you're ready for real-world usage, create a free account at portal.graftcode.com, set up a project, and copy its Project Key.

Then pass the key when starting your gateway:

CMD ["gg", "--modules", "./energy-service/", "--projectKey", "YOUR_PROJECT_KEY"]

A Project Key gives you:

• Stable registry URL - consumers always find and update your Graft through a permanent address, so install commands don't change when you redeploy.
• Portal visibility - see all your gateways and exposed services in one place at gateways.graftcode.com.
• Access control - decide who can download your Grafts using package manager authentication and permissions.
• MCP endpoint - Graftcode Gateway automatically exposes an MCP (Model Context Protocol) endpoint alongside your service, making your methods callable by AI agents and LLM-based tools out of the box.

Step 6. Call it from another app

Your service is now accessible from any application. From Graftcode Vision, select your target package type - for example PyPI - and copy the generated install command. That installs a Graft: a strongly-typed client that lets any app call your service methods directly.

from graft_pypi_energypricecalculator import EnergyPriceCalculator

price = await EnergyPriceCalculator.get_price()
print(price)

No REST clients, no request/response models, no endpoint URLs in your code. When you add or update a public method, consumers update their Graft with a single package manager command.