Parallel TI execution engine for IBM Planning Analytics

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.

• 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

pip install rushti

For the latest beta:

pip install rushti --pre

uv pip install rushti

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

1. Configure TM1 connection

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

RushTI looks for config.ini under config/ (or RUSHTI_DIR). To point a single run at a different file — e.g. a config.ini shared with other tm1py utilities — pass --config PATH to any TM1-connecting command (run, build, tasks, resume).

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

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

• Installation
• Quick Start
• Task Files
• CLI Reference
• Settings Reference

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

• GitHub
• PyPI
• Issues
• Changelog

TM1py — Python interface to the TM1 REST API

MIT — see LICENSE for details.