Python client for SaaS optimization API
Project description
opticlient
A lightweight Python client for interacting with the SaaS optimization API.
This package provides a clean interface for submitting optimization jobs, polling their status, and retrieving results.
Currently supported tools:
- Single Machine Scheduling (sms) — submit an Excel instance and obtain an ordered job schedule.
More tools will be added in future versions.
For details visit: https://github.com/Milan-Adhikari/opticlient
Installation
pip install opticlient
Quick Usage Guide
opticlient requires an API key, which you obtain from the website https://cad-eta.vercel.app
You can provide it in either of two ways:
Option 1 - Environment variable (recommended)
export OPTICLIENT_API_TOKEN="YOUR_API_KEY"
Option 2 - Pass directly in code
from opticlient import OptiClient
client = OptiClient(api_token="YOUR_API_KEY")
Quick Start: Single Machine Scheduling (SMS)
The SMS tool takes an Excel file describing a scheduling instance and returns an ordered sequence of jobs. You can download the sample Excel file from https://cad-eta.vercel.app or see below.
Basic usage
from opticlient import OptiClient
client = OptiClient() # reads token/base URL from environment if available
schedule = client.sms.run(
file_path="instance.xlsx",
description="Test run",
)
print("Job schedule:")
for job in schedule:
print(job)
Sample Excel File format
| Job | Job1 | Job2 | Job3 | Job4 |
|---|---|---|---|---|
| Job1 | 0 | 2 | 1 | 1 |
| Job2 | 3 | 0 | 1 | 1 |
| Job3 | 5 | 4 | 1 | 2 |
| Job4 | 2 | 2 | 1 | 0 |
Versioning
This package follows semantic versioning:
- 0.x — early releases, API may change
- 1.0+ — stable API
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