everit-org/json-schema
Json Schema
该项目是一个 Java 库，旨在根据定义的模式规范验证 JSON 文档。它作为一个符合标准的引擎，通过检查结构合规性和在 Java 应用程序中强制执行业务规则来确保数据完整性。
该库通过其灵活的验证策略脱颖而出，允许开发者注入自定义逻辑和模式匹配引擎来处理专门的数据格式。它支持可配置的执行模式，使用户能够在第一个错误时立即停止验证，或收集所有违规情况以进行全面报告。此外，该引擎还包含用于类型强制转换和默认值注入的内置功能，这有助于在验证过程中标准化传入数据。
除了标准的结构检查外，该系统还提供了用于管理复杂数据依赖关系和安全约束的高级功能。它包括一个用于在没有网络访问的情况下解析模式引用的本地注册表，并支持强制执行只读或只写访问模式。该库还提供可观测性工具，例如允许外部系统监控内部验证过程的事件驱动钩子。
Features
- Structural Data Validators - Validates JSON documents against defined schema specifications to ensure structural integrity.
- JSON Schema Validation - Provides a standards-compliant engine for validating JSON documents against defined schema specifications.
- Request Data Integrity - Validates incoming JSON payloads against schema specifications to ensure data integrity before backend processing.
- Java Validation Libraries - Offers a Java-native library for enforcing structural constraints and data integrity through configurable validation rules.
- Pluggable Body Validators - Allows developers to inject custom validation logic and pattern-matching engines to extend standard schema enforcement.
- Data Normalization Utilities - Normalizes incoming data by coercing types and injecting default values to ensure consistent internal data models.
- Data Type Coercion - Automatically transforms string-encoded inputs into primitive types during validation to ensure schema compatibility.
- First Matching Item Retrievers with Error Handling - Halts the validation process immediately upon encountering the first schema violation to save processing time.
- Violation Reporters - Collects all schema errors found during validation into a single report for comprehensive data analysis.
- Fail-Fast Execution Controls - Supports configurable execution modes to either halt immediately upon the first violation or collect all errors.
- JSON Schema Reference Resolvers - Resolves schema references locally to simplify dependency tracking and avoid unnecessary network calls.
- Schema Tree Traversers - Processes nested data structures by recursively walking the schema tree and applying validation rules at each node.
- Schema Reference Resolution - Manages relative identifiers and external dependencies through a local registry to resolve complex data structures without network access.
- Custom Format Validators - Allows registration of custom validation logic and pattern matching to handle specialized data formats.
- Input Type Parsing - Transforms string-based inputs into numeric or boolean formats automatically during validation.
- Strict Object Validation - Enforces strict object validation to ensure data conforms to defined schema requirements.
- Schema Default Values - Fills missing properties in an input document with predefined default values from a schema during validation.
- Validation Error Reporters - Generates detailed reports that pinpoint specific schema violations and provide exact locations of errors.
- JSON Schema Implementations - Implements the official JSON Schema specification, including support for complex reference resolution.
- Write-Only Access Modes - Validates objects against read-only or write-only constraints to ensure data access patterns align with schema permissions.
- Primitive Type Schemas - Accepts string-encoded numbers or booleans to accommodate loosely typed input data.
