Core Utils Runner
The Core Utils Runner provides foundational utilities for data pipelines within HEAT.
It focuses on agnostic conversions and remapping operations that standardize data before analytics or dashboard aggregation.
Available Node Templates
1. tabular-remap (Transform Node)
This node remaps, transforms, and restructures tabular data according to configuration rules provided at runtime.
It supports column renaming, derived fields through Python expressions, and creation of constant or computed columns.
Typical usage: Normalize disparate CSV inputs into a consistent schema before feeding them into downstream processing or aggregation nodes.
Integration in a Session Template
- Insert a
tabular-remapnode immediately after any CSV-producing node or data ingestion node. - Configure the mapping schema in the node configuration (see
tabular-remapguide). - Connect downstream nodes that consume the remapped dataset (analytical or dashboard nodes).
Supported Formats
| Input Type | Output Type | Notes |
|---|---|---|
| CSV | CSV / TSV | Auto-detects delimiters (auto mode) |
| TSV | CSV / TSV | Preserves or converts delimiter as configured |
All transformations occur in-memory and respect field quoting per RFC4180.