et-engine 0.0.1

The official Python SDK for the ET Engine

ET Engine Python SDK

The official SDK for building ET Engine applications.

Resource	Link
Command-Line Interface (CLI) tool	https://github.com/exploretech-ai/et-engine-cli
ET Engine Web App	https://engine.exploretech.ai
Comprehensive Documentation	https://docs.exploretech.ai
About ExploreTech	https://exploretech.ai

Quick Start

First, make sure you have an account on the ET Engine Web App and that you have a valid API key exported to the environment variable ET_ENGINE_API_KEY. See the tutorial for more details.

Once you have your API key set, ensure your Python version is >=3.11.9 and install the package using pip.

pip install et-engine

Open up the Python interpreter or create a new script and run the following commands.

import et_engine as et

# Connect to the client
engine = et.Engine()

# Create a filesystem
my_first_filesystem = et.filesystems.create("my-first-filesystem")

# Upload any text file to the filesystem
my_first_filesystem.upload("path/to/local/file.txt", "hello-world.txt")

# Check to see if the "hello-world.txt" file was uploaded
filesystem_contents = my_first_filesystem.ls()
print(filesystem_contents)

In your browser nagivate to https://engine.exploretech.ai/filesystems to see your new filesystem with a file named hello-world.txt.

Creating and Running Tools

We suggest you create and push tools using the ET Engine CLI. For this section, we'll assume you have created a tool named hello-world-tool that takes a name argument and writes a text file named hello.txt with the contents f"Hello, {name}"

import et_engine as et
engine = et.Engine()

# Create and connect to a filesystem
my_filesystem = engine.filesystems.create("hello-world-filesystem")

# Connect to the tool
hello = engine.tools.connect("hello-world-tool")

# Define the hardware connection that lets the tool talk to the filesystem
hello_world_hardware = et.Hardware(filesystem_list=[my_filesystem])

# Run the tool, setting the 'name' argument and connecting to your filesystem
job = hello(name="John", hardware=hello_world_hardware)

# Wait for the job to finish
job.wait()

If everything went well, your hello-world-filesystem will contain a file named hello.txt with the contents Hello, John!

Running a Monte Carlo simulation

Let's assume you have a tool named navier-stokes-simulation that performs a complex fluid dynamics simulation, and 100 configuration files in a filesystem named config/configuration_${i}.txt. To perform a parallelized Monte Carlo simulation on these 100 configuration files, you can use the run_batch feature. An example script might look something like this.

import et_engine as et
engine = et.Engine()

# Connect to your Engine resources
monte_carlo_filesystem = et.filesystems.create("monte-carlo")
navier_stokes = engine.tools.connect("navier-stokes-simulation")

# Run each simulation with 16 vCPU & 64 GB Memory
monte_carlo_hardware = et.Hardware(
    filesystem_list=[
        monte_carlo_filesystem
    ],
    cpu=16,         # vCPU
    memory=64*1024  # MB
)

# Define the configuration files
configuration_files = [f"config/configuration_{i}.txt" for i in range(100)]
monte_carlo_parameters = [{"config": c} for c in configuration_files]

# Launch the Monte Carlo simulation
batch = navier_stokes.run_batch(
    variable_kwargs=monte_carlo_parameters,
    hardware=monte_carlo_hardware
)
batch.wait()

Contributing

We welcome contributions from the community. See CONTRIBUTING.md for more details.