Hackday/aggregator component#1801
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Add pipeline component that merges up to 10 upstream inputs into a single output (dict, array, or csv format). Registers the component in the component library under a new Aggregation folder.
Remove hardcoded input_1-input_10 and their args blocks in favor of input_mask annotations that let the frontend generate unlimited inputs dynamically. Replace argparse with regex-based arg parsing to accept any --input-N flag. Rename output type from "dict" to "object".
Ark-kun
reviewed
Feb 12, 2026
Ark-kun
reviewed
Feb 12, 2026
Rename output types to match Tangle conventions where type names represent file formats on disk, not Python in-memory types: - object → JsonObject - array → JsonArray - csv → CSV
Use tangleml.com/aggregator_components/ prefix for all custom annotations to avoid naming collisions, as suggested by Ark-kun.
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Add Aggregate Inputs component with dynamic input mask
Summary
Adds the Aggregate Inputs component that merges multiple upstream outputs into a single output (object, array, or CSV). Replaces hardcoded input slots with a mask pattern so the frontend can dynamically add unlimited inputs.
Changes
public/components/aggregator/component.yamlinput_1–input_10; usesinput_maskannotations the frontend reads to generate inputs on demand--input-Nis accepted (no upper limit)dict→object(JSON object) throughoutHow it works
input_mask,input_mask_type, etc. and dynamically creates input handles when the user clicks "Add Input"inputsarray and correspondingargsblocks for whatever inputs are connected--input-Nflags the runner passes inNotes