Design and Implementation of a Low‑Code Data Platform for Testing and Data Operations

Project Background and Goal – Rapid growth of real‑estate business increased system complexity, leading to high costs for data construction and issue investigation across testing, product, development, and support teams. The aim is to provide a low‑code, high‑efficiency data factory that reduces manual effort.

Low‑Code Solution – Leveraging low‑code technology, the platform offers drag‑and‑drop component design for both front‑end pages and back‑end rules, allowing non‑developers to build tools quickly and publish them with one click.

Platform Objectives – The platform should be simple, efficient, and secure, providing configurable forms, reusable rule components, and separate management and operation interfaces.

Implementation Analysis – A typical tool follows three steps: condition input (form), rule execution (data processing), and result display. The design includes a basic component library, rule configuration/execution modules, and three result templates (JSON, table, description list).

Auxiliary Modules – Security controls, versioning (draft vs. release), and usage statistics are integrated to ensure safe operation and track tool effectiveness.

Architecture Design – The system consists of a management platform (tool creation, debugging, permission, logging) and an operation platform (tool usage). Business logic resides in rule and component libraries, the rule engine executes HTTP/RPC/MySQL/Redis rules, and data is stored in MongoDB (rules) and MySQL (logs, permissions).

Front‑End Low‑Code – The internal Coral Sea framework is extended to provide a customizable component library and page editor.

Back‑End Low‑Code – Rule storage separates basic description, request parameters, and response parameters; the rule engine parses variables, handles controllers, and supports built‑in functions.

Platform Benefits – Since its pilot in late 2022, the platform has released 45 tools, executed over 3,000 runs, saving roughly 120 hours per month (≈15 person‑days). It dramatically reduces tool development time from days to minutes and improves data access for product, testing, development, and support teams.