OpenSolve 0.0.4

The Python client for the OpenSolve linear optimization solver service.

OpenSolve Python Client

A simple programmatic solution for interacting with the OpenSolve linear optimization service. Read the complete, official docs here.

Use a virtual environment

For every new project, create a new virtual environment. Read about them here.

$ mkdir myProject && cd myProject
$ python3 -m venv myenv

Once you've created the virtual environment, activate it before beginning work.

$ cd path/to/myProject
$ source myenv/bin/activate

Once activated, you'll want to install all necessary packages (like the OpenSolve client) for your project.

Install

Install the python client with

(myenv) $ python3 -m pip install OpenSolve

The OpenSolve client only requires the requests package. The minimum required version of Python is 3.7 (but the latest version of Python is always recommended).

Using It

After setting up your OpenSolve account, you'll be able to do a few cool things.

Submit jobs

from OpenSolve import Client
import time
import os  


# create a client object with your authentication details
c = Client.client('your_username', 'your_password')  


# submit a simple job (default options, no warmstart solution)
response = c.submit_job('path/to/your/problemfile.lp')  

Check on a job

status = c.check_job()

Pull the results of a completed job

results = c.pull_results()

List current and past jobs

jobs = c.ls_jobs()

Get more details at the official docs.