Overview of the Wenjie Low-Code Platform: Architecture, Technologies, and Use Cases
The article presents a comprehensive overview of the Wenjie low-code platform, detailing its motivation, front‑end React framework, back‑end Spring Cloud micro‑services architecture, PowerJob scheduler, custom ORM, various data‑modeling and data‑processing scenarios, dashboard visualizations, monitoring and alerting features, as well as future plans and a concluding summary.
1. Introduction The rapid growth of internal digital demands and advances in front‑end frameworks like React and Vue have driven the need for a low‑code solution to accelerate delivery.
2. Wenjie Low-Code Platform Introduction The platform focuses on data‑centric scenarios, including data modeling, data development, BI analysis, indicator rules, and data quality monitoring.
3. Technical Architecture
3.1 Front‑end Framework React is chosen for its component‑based approach and compatibility with mobile React‑Native.
3.2 Back‑end Framework Built on Spring Cloud micro‑services, deployed on the Asf cloud platform, with SkyWalking for full‑link monitoring.
3.3 Scheduler Engine PowerJob is selected as an open‑source workflow scheduler to handle complex data‑dependency tasks.
3.4 ORM Framework A custom automis.orm reduces manual SQL, offering auto‑loading, formatting, caching, and logging capabilities.
3.5 Runtime Mechanism (image omitted for brevity)
4. Low‑Code Scenarios
4.1 Data Modeling Online ER diagram design, calculation fields, and grouping fields enable zero‑code model creation.
4.2 Data Development Supports 12 components, including SQL editors for MySQL, MSSQL, Hive, and StarRocks, as well as data integration via Alibaba DataX and various cleaning components.
4.3 Indicator Rules Dimension and metric management allow online configuration of rules for analytics.
4.4 Data Analysis Dashboard visualizations using ECharts, custom analysis components, and multi‑dimensional analysis powered by the custom ORM.
4.5 Monitoring and Alerts Real‑time data script inspection with email, SMS, and DingTalk notifications, plus automated data repair.
5. Summary and Planning The platform reached V1.0.0 in Dec 2022, improving delivery efficiency; 2023 plans include form configuration, permission integration, and broader low‑code capabilities.
6. Conclusion The team invites collaboration to further enhance the platform and drive digital efficiency across the organization.
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