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RushTI - Parallel TM1 TurboIntegrator Process Execution

Project description

RushTI

Parallel TI execution engine for IBM Planning Analytics

PyPI Python License


RushTI transforms sequential TurboIntegrator execution into intelligent, parallel workflows. Define task dependencies as a DAG, and RushTI schedules them across multiple workers — starting each task the moment its predecessors complete.

What's New in 2.0

  • DAG Execution — True dependency-based scheduling replaces wait-based sequencing
  • JSON Task Files — Structured format with metadata, settings, and stages
  • Self-Optimization — EWMA-based learning reorders tasks from historical performance
  • Checkpoint & Resume — Automatic progress saving with failure recovery
  • Exclusive Mode — Prevents concurrent runs on shared TM1 servers
  • Statistics Storage (SQLite or DynamoDB) — Persistent execution history with dashboards and analysis
  • TM1 Integration — Read tasks from and write results to a TM1 cube
  • 100% Backwards Compatible — Legacy TXT task files work without changes

Installation

pip (recommended)

pip install rushti

For the latest beta:

pip install rushti --pre

uv

uv pip install rushti

Executable (no Python required)

Download rushti.exe from GitHub Releases — includes all dependencies.

Quick Start

1. Configure TM1 connection

# config/config.ini
[tm1-finance]
address = localhost
port = 12354
ssl = true
user = admin
password = apple

2. Create a task file

{
  "version": "2.0",
  "tasks": [
    { "id": "1", "instance": "tm1-finance", "process": "Extract.GL.Data" },
    { "id": "2", "instance": "tm1-finance", "process": "Extract.FX.Rates" },
    {
      "id": "3",
      "instance": "tm1-finance",
      "process": "Transform.Currency",
      "predecessors": ["1", "2"]
    },
    {
      "id": "4",
      "instance": "tm1-finance",
      "process": "Build.Reports",
      "predecessors": ["3"]
    }
  ]
}

3. Validate and run

rushti tasks validate --tasks daily-refresh.json --skip-tm1-check
rushti run --tasks daily-refresh.json --max-workers 4

Documentation

Full documentation is available at cubewise-code.github.io/rushti/docs

Website

Visit cubewise-code.github.io/rushti for interactive demos, feature overviews, and architecture visualizations.

Links

Built With

TM1py — Python interface to the TM1 REST API

License

MIT — see LICENSE for details.

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