1. Rules

Rules

Conditions and transformations

Rules are the dynamic decision-makers of your app. They define conditional logic that determines how data is transformed, who can access what, and what messages are displayed. Rules bring flexibility and intelligence to your platform, allowing for complex business logic to be implemented without hard-coding.

By leveraging Rules, you can create a more responsive and adaptable system that can handle a wide range of scenarios and user needs. Rules help you automate processes, enforce policies, and create personalized experiences for your users.

☁️   In context...

mindmap root((Rules)) Types Data Transformation Authorization Messaging Components Decision Tables Function Nodes Input/Output Nodes Integration Entities Flows Components Management Creation Testing Monitoring Benefits Flexibility Scalability Business Agility Considerations Performance Complexity Maintenance

💼   Usage scenarios...

Role

Usage Scenario

Business Analysts

Define and update business logic without coding

Developers

Implement and maintain rule execution engine

Product Managers

Specify rule requirements based on business needs

QA Engineers

Test rule outcomes across various scenarios

System Admins

Monitor and adjust rules for optimal system performance

🖼️   For example...

  1. Data Transformation Rule: When a new order is created, your app automatically calculates the total price including tax and shipping based on the customer's location. This rule takes into account various factors such as product type, shipping distance, and local tax rates to provide accurate pricing.

  2. Authorization Rule: Your app restricts access to sensitive financial data, allowing only managers to view this information. This rule checks the user's role and permissions before granting or denying access to specific reports or dashboards.

  3. Messaging Rule: Your app triggers a personalized welcome email to new users within 24 hours of account creation. This rule includes the user's name and chosen preferences in the email, creating a tailored onboarding experience.

🔗   Connects to...

graph TD A[Rules] --> B[Entities] A --> C[Flows] A --> D[Components] B --> E[Data Transformation] C --> F[Authorization] D --> G[Messaging] A --> H[Business Logic] H --> I[Decision Tables] H --> J[Function Nodes] A --> K[System Integration] K --> L[API Calls] K --> M[External Services]

✅   Implementation tips

  • Start with simple rules and gradually build complexity

  • Test rules thoroughly with various edge cases

  • Document the purpose and logic of each rule clearly

  • Review and update rules regularly to ensure they align with current business needs

  • Use the rule editor to visualize and debug complex rule graphs

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