hyperjumptech/grule-rule-engine
Grule Rule Engine
Grule is a business rule engine for Go that decouples complex decision-making logic from core application code. It provides a framework for defining, versioning, and executing business rules through a domain-specific language, allowing logic to be managed independently of the underlying software implementation.
The engine distinguishes itself by utilizing a formal grammar-based parser and a Rete-inspired pattern matching algorithm to evaluate logic against data facts efficiently. It supports dynamic system modeling by enabling runtime updates to policies and providing thread-safe knowledge base containers, which allow for concurrent rule execution across multiple application threads.
The platform includes comprehensive tools for fact injection, which maps application data structures into the evaluation context, and execution monitoring, which allows for real-time tracing of rule processing and state changes. By incorporating cycle detection and automated rule lifecycle management, the engine ensures that complex, interdependent logic chains remain stable and performant during evaluation.
Features
- Business Rules Engine - Decouples complex business logic from application code by evaluating data facts against rules defined in a domain-specific language.
- Rule Evaluation Engines - Executes business rules against data facts to determine outcomes without requiring hard-coded conditional branching logic.
- Domain Specific Languages - Provides a domain-specific language for defining and executing custom business logic.
- Rete Algorithm Implementations - Organizes rule conditions into a directed graph to efficiently evaluate logic against data facts.
- Logic Decoupling - Enables the separation of business logic from core application code, allowing independent management of decision-making processes.
- Algorithmic Efficiency Optimizers - Applies cycle detection and algorithmic shortcuts to ensure fast and efficient rule evaluation.
- Rule Knowledge Bases - Organizes and versions collections of business rules to support dynamic systems.
- Complex Event Processing Engines - Evaluates incoming data streams against predefined logic patterns to trigger automated actions.
- Rule Definition Languages - Provides a domain-specific language for constructing business rules, enabling logic definition independent of the underlying software implementation.
- Rule Definition Loaders - Imports business logic from various sources including raw strings, local files, and remote repositories.
- Dynamic Rule Management - Enables runtime updates to rule sets to adapt to changing business requirements.
- Domain Specific Language Parsers - Provides a parser for custom logic structures that allow non-developers to manage business requirements.
- Fact Injection - Maps application data structures into the evaluation context for rule processing.
- Rule Lifecycle Management - Provides automated lifecycle management for versioned rule libraries to ensure stable and performant execution of complex business logic.
- Cycle Detection Algorithms - Monitors rule activation sequences to prevent infinite loops during complex logic evaluation.
- Dynamic Rule Engines - Manages complex interactions between variables and state changes in dynamic environments.
- Thread-Safe State Containers - Encapsulates rule sets into isolated, thread-safe containers for concurrent execution.
- Formal Grammar Parser Generators - Generates parsers from formal grammar definitions to translate rule syntax into executable logic.
- Parser Generators - Generates language-specific parser and visitor source files from grammar definitions.
- Fact Injection Interfaces - Maps application data structures and JSON objects into the evaluation context for rule execution.
Star history
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