A Tree Full of Object Data
summary
Converts object private data into JSON and stores it as the canonical source, then uses JSON Text plus SQLite JSON functions (json_tree/json_each/json_extract) to build an adjacency table for a tree view so configuration, results, and large datasets are searchable and filterable quickly — SQLite scales to gigabytes. Uses object serialization and composition toolkits to expose private fields (breaking encapsulation), ships a working generic tree editor/viewer and a utility that generates a LabVIEW data type/control from any JSON; works for R&D but warns it’s not foolproof.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 6:02Generic UI requirements
- 13:22Solution overview
- 22:39Tree structures for JSON
- 26:47Configuration UI with JSON
- 32:31JSON to LabVIEW converter
- 38:00Q&A
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