Welcome to tm1_bedrock_py documentation!

This project is a Python-based toolkit by Knowledgeseed, designed to streamline data integration and automation tasks with IBM Planning Analytics (TM1).

It leverages the TM1py library to provide a high-level, configurable, and extensible framework for moving data between TM1 cubes, SQL databases, and CSV files. The toolkit is built with a focus on performance, offering features like asynchronous operations and detailed logging for debugging and optimization.

Check out the TM1 Data Integration and Automation Toolkit section for a guide on getting started, and the Data Copy / Data Copy Intercube Manual and TM1 / CSV Data Integration Manual and TM1 / SQL Data Integration Manual manuals for a deep dive into the core data manipulation functions. For high performance use-cases, refer to TM1 / TM1 Parallel Processing Manual, TM1 / CSV Asynchronous Parallel Processing Manual and TM1 / SQL Asynchronous Parallel Processing Manual.

Introduction:

• TM1 Data Integration and Automation Toolkit
  • Features
  • How to Use
  • Optimizing Performance
  • Debugging Options
  • Requirements
  • Installation
  • Development
  • Manual integration testing

Synchronous Executors:

• Data Copy / Data Copy Intercube Manual
  • Introduction
  • Default Operations
  • data_copy, data_copy_intercube key differences
  • Parameter Reference
  • Example Workflow
  • Developer Comments
  • Conclusion
• TM1 / CSV Data Integration Manual
  • Introduction
  • Default Operations
  • Parameter Reference
  • Example Workflow
  • Developer Comments
  • Conclusion
• TM1 / SQL Data Integration Manual
  • Introduction
  • Default Operations
  • Parameter Reference
  • Example Workflow
  • Developer Comments
  • Conclusion

Asynchronous Executors:

• TM1 / TM1 Parallel Processing Manual
  • Introduction
  • How It Works: The Slicing Mechanism
  • Parameter Reference
  • Example Workflow
  • Developer Comments & Performance Tuning
  • Conclusion
• TM1 / CSV Asynchronous Parallel Processing Manual
  • Introduction
  • Slicing Mechanisms: How Parallelization Works
  • Function Reference
  • Developer Comments & Performance Tuning
  • Conclusion
• TM1 / SQL Asynchronous Parallel Processing Manual
  • Introduction
  • Slicing Mechanisms: How Parallelization Works
  • Function Reference
  • Developer Comments & Performance Tuning
  • Conclusion

Airflow Integration:

• Airflow Task Groups for TM1 Bedrock Pipelines
  • Overview
  • Task Groups
  • Example DAG Snippet
  • Additional Notes

Indices and tables

• Index

• Module Index

• Search Page