0 views collected around this technical thread.
This article explains how to encapsulate data type processing in an API automation framework by creating a Python utility class that provides conversion, validation, and assertion methods, defines JSON Schemas, and demonstrates writing and executing Pytest test cases to ensure correct data types and values.
This article introduces DripTable, an open‑source React‑based low‑code table framework that uses JSON Schema for rapid backend‑admin list creation, outlines its advantages, explains when to adopt it, and provides step‑by‑step installation and usage instructions for both the configuration and application sides.
This article explains how to integrate the networknt JSON Schema validator into a Spring Boot application to enforce structured AI output, covering dependency setup, schema definition, service implementation, custom output validator, and exception handling, ensuring reliable, correctly formatted JSON responses from AI models.
This article provides concise Python code examples demonstrating how to read, write, and manipulate data using popular libraries such as PyYAML, toml, jsonschema, xmltodict, lxml, BeautifulSoup4, html5lib, and cssutils, covering scenarios from configuration files to XML/HTML parsing and CSS styling.
This article explains how to integrate JSON Schema validation into a Spring Boot application, covering dependency setup, schema definition, bean configuration, service implementation, controller exposure, and testing with curl to ensure JSON payloads conform to the defined rules.
The article provides ten code examples demonstrating how to validate JSON data with Python's jsonschema library, covering basic validation, required fields, nested schemas, arrays, uniqueness, enums, ranges, pattern matching, conditional logic, and custom error messages.
DripTable is an open‑source, React‑based enterprise table visualization tool that uses JSON Schema for low‑code, configurable, and extensible dynamic list pages, offering fast development, theming flexibility, and a visual schema generator for backend CMS and low‑code table scenarios.
This article introduces DripTable, a JD‑open‑source, React‑based enterprise table framework that uses JSON Schema for low‑code configuration, outlines its features, advantages, usage scenarios, and provides step‑by‑step installation and code examples for both the visual configuration side and the runtime side.
DripTable is an open‑source, React‑based enterprise table solution that uses JSON Schema for low‑code configuration, offering fast, configurable, and extensible dynamic list rendering with visual generators and easy integration for backend and frontend developers.
This article presents a comprehensive backend automated testing framework that unifies HTTP and RPC access, introduces a parameter‑pool concept, leverages JSON Schema and JSONPath for validation, and outlines coverage metrics, test case generation, discovery, and continuous improvement to achieve near‑100% API test coverage.
The article shows how to automate low‑code visual‑form creation by using AI to parse a one‑sentence requirement, split the task into summarizing components and few‑shot prompting, generate a JSON‑Schema DSL, and ensure smooth real‑time delivery via SSE and proper proxy configuration.
The article presents a language‑agnostic, low‑maintenance automated backend interface testing system that unifies HTTP and RPC calls, uses a parameter pool, JSON Schema and JSONPath for assertions, generates test cases from live traffic, measures coverage, and continuously updates suites to achieve near‑full coverage.
This article explains ByteDance's end‑to‑end data‑point (埋点) validation system, covering its technical challenges—usability, accuracy, real‑time visibility, stability, and extensibility—along with SDK integration, QR‑code workflow, JSON‑Schema verification, push‑service architecture, SLA metrics, and future automation plans.
This article explains how 58's Process Open Platform uses a low‑code approach with a visual form designer and a JSON‑schema‑driven renderer to dramatically improve the efficiency of creating, maintaining, and deploying business forms and approval workflows.
DripForm is an open‑source React form component from JD Retail iPaaS that offers configurable rendering, validation, and visual editing, enabling developers to efficiently build complex, dynamic forms with unified front‑end/back‑end validation, extensibility, and low‑code visual generation.
This article explains how MySQL 8.0 introduces strict JSON schema validation, demonstrates the json_schema_valid and json_schema_validation_report functions with array and object examples, and shows how to enforce schema checks in tables using CHECK constraints.
The talk outlines low‑code’s evolution and booming market, explains how visual, schema‑driven platforms like Poseidon Builder let developers of any skill rapidly create and maintain middle‑office web pages with minimal code, dramatically cut development time, and aim toward future auto‑code generation.
NetEase Cloud Music’s frontend team created a JSON‑based form framework that extends Ant Design, offering async validation with error and warning states, reverse‑listener field linking, four exclusive form modes, flexible option loading, and performance‑optimized core‑render separation for complex B‑end applications.
This article explains how a frontend configuration engine can be designed to boost page development efficiency by using component‑based architecture, detailing attribute definitions, data requests, hierarchical relationships, and cross‑component interactions, and illustrates the approach with JSON schemas and React code examples.
This article introduces a frontend building system covering its motivation, business scenarios, core modules, architecture diagram, deployment strategy, JSON Schema usage, data configuration, and visualisation, while also sharing the speaker's background and recruitment information for the team.