ibireme/YYModel
YYModel
YYModel is a JSON model mapping library and bidirectional data mapper designed to transform raw JSON data into structured model objects and vice versa. It functions as a type-safe JSON parser that employs automatic type coercion to prevent application crashes caused by incompatible data types during the parsing process.
The framework uses runtime introspection to map JSON keys to model properties based on naming rules and explicit configurations. It supports the instantiation of nested model objects through recursive traversal of the data hierarchy and provides a consistent translation layer for both serialization and deserialization.
Its capability surface covers data mapping logic for linking mismatched keys to properties and a serialization workflow that standardizes date objects using the ISO8601 format. The tool transforms raw dictionaries into structured objects using a schema-driven approach to ensure type safety for network transmission or local storage.
Features
- JSON Libraries - Provides a library for parsing and mapping raw JSON data into structured model objects with automatic type conversion.
- Bidirectional Serialization Mappings - Provides a consistent translation layer for both serialization and deserialization between external JSON keys and internal properties.
- JSON-to-Model Mappers - Convert raw data strings into structured objects using automatic type conversion to prevent application crashes.
- JSON-to-Object Mappers - Transforms raw JSON strings into strongly typed model objects with automatic type conversion.
- JSON-to-Model Mappers - Transforms JSON structures into typed model objects using configurable key mapping and automatic type coercion.
- Data Type Coercion - Implements automatic type conversion to prevent crashes when JSON data types do not match expected model properties.
- JSON Serializers - Implements utilities to transform structured model objects back into formatted JSON strings including ISO8601 date standardization.
- JSON Serializers - Converts structured model objects into JSON strings or dictionaries for network transmission and storage.
- Model-to-JSON Converters - Transforms structured model objects into JSON strings or dictionaries with standardized date formatting.
- Type Safe Parsing - Parses JSON into strongly typed models while coercing incompatible types to ensure runtime stability.
- JSON Serialization - Provides a workflow for converting model objects to JSON for network transmission and local storage.
- Typed JSON Parsers - Converts JSON strings into typed objects using automatic type coercion to prevent runtime crashes from incompatible data types.
- JSON Key Mappings - Provides the ability to link mismatched JSON keys to internal model properties through explicit configuration.
- Bidirectional Data Mappers - Acts as a bidirectional data mapper that defines reversible transformation logic between JSON and typed objects.
- Recursive Object Instantiation - Instantiates nested model objects through recursive traversal of the data hierarchy.
- Dynamic Property Mapping - Uses runtime introspection to map JSON keys to model properties based on naming rules or configuration.
- Schema Transformation Pipelines - Transforms raw dictionaries into structured objects by matching keys against a defined model property schema.
- ISO8601 Serialization - Standardizes date object conversion to and from the ISO8601 string format during JSON transformation.
- Property Name Mappings - Translates internal property names into different formats for external JSON interfaces.
- External Key Mapping - Links specific JSON keys or paths to object property names when labels do not match by default.
- Property-to-Key Mapping - Links object properties to specific data keys or paths for alternative naming or fallback values.
- Schema-Driven Type Coercers - Ensures type safety by coercing values to match a defined property schema during JSON transformation.
- Reflection-Based Data Mappers - Uses runtime introspection and reflection to instantiate nested models and map data based on predefined naming rules.
- Data Parsing and Serialization - High-performance model framework for data serialization.
Star history
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