Metadata Schema
Overview of the metadata schema used in SolidX.
Overview
The metadata schema in SolidX is designed to provide a flexible and extensible way to define the structure and behavior of various application components. By using a metadata-driven approach, developers can easily customize and extend the functionality of the SolidXplatform without modifying the core codebase.
SolidX allows configuring both backend and frontend functionality using metadata configuration.
The metadata can either be defined in JSON files or through the admin interface. When any metadata is created or updated through the admin interface, it is stored in the database as well as in the JSON file for the corresponding module. This allows for easy version control and migration of metadata changes across different environments.
Every module needs to have its own metadata file which is then seeded into the database.
Seeding Metadata
To apply metadata changes made in the JSON file directly, you must sync the database with the updated metadata files.
- Seed metadata into the database:
solid seedThis command reads all metadata files and updates the SolidX database.
- (Only for code generation changes) Refresh the generated code:
solid refresh-model -n <model name>This step ensures the generated code reflects the latest metadata. Typical cases where this extra step is required:
- Adding a new module
- Adding fields to a model
Tip: Just running the
solid seedcommand is sufficient for most cases, except the ones mentioned above, since the platform reads the metadata directly from the database at runtime.
Key Components
Below are the key components of the metadata schema. All the functionality concerning the below components is driven by the metadata schema.
Module Metadata
Model Metadata
Field Metadata
View Metadata
Action Metadata
Menu Item Metadata
Roles & Permissions
Users
Email Templates
SMS Templates
Media Storage Providers
Scheduled Jobs
Security Rules
List of Values
Dashboard Metadata
Best Practices
Naming Conventions
- Use kebab-case for internal names (
fees-portal,institute-list-view) - Use PascalCase for display names (
Fees Portal,Institute List View) - Use camelCase for field names (
instituteName,feeAmount)
Security First
- Always configure roles and security rules
- Use principle of least privilege
- Implement proper data filtering
- Enable audit tracking for sensitive operations
Performance Optimization
- Use database indexes for frequently queried fields
User Experience
- Group related fields logically in forms
- Use appropriate field types for data validation
- Provide helpful field descriptions
Maintainability
- Use consistent field configurations
- Version control metadata changes
- Test security rules thoroughly
Data Integrity
- Configure proper field validations
- Use appropriate data types
- Ensure unique constraints where necessary
- Choose appropriate user keys for models
- Use appropriate relation cascading rules
What's Coming Up
In the upcoming sections, we'll walk through practical examples that use the metadata schema and explain each attribute in detail.
These examples are based on the Fees Portal Module (a Fee Collection Module for Educational Institutions).
If you'd like to learn more about the Fees Portal module itself, you can refer to the detailed guide here: School Fees Portal Tutorial