Array of component groups organizing tables by business domain and functional relationships.
Each component represents a logical grouping of database tables that belong to the same business domain or functional area. The grouping follows domain-driven design principles where related tables are organized together to maintain coherent schema files and enable systematic development.
Each component includes the target filename for the schema file and the list of table names that will be included in that domain. This organization ensures that the generated Prisma schema files are logically structured and maintainable, with clear separation of concerns across different business areas.
Timestamp when the event was created.
ISO 8601 formatted date-time string indicating when this event was emitted by the system. This timestamp is crucial for event ordering, performance analysis, and debugging the agent workflow execution timeline.
Format: "YYYY-MM-DDTHH:mm:ss.sssZ" (e.g., "2024-01-15T14:30:45.123Z")
Final decision on namespace classification.
Contains the AI agent's final reasoning and rationale for the chosen namespace organization, explaining why this structure best serves the business requirements.
Example:
"Final decision: Organize tables into 3 main namespaces:
1. Systematic - for channel and system configuration
2. Actors - for all user types (customers, citizens, administrators)
3. Sales - for product sales and related transactional data
This structure provides clear separation of concerns and follows DDD principles."
A unique identifier for the event.
Review and refinement of the namespace classification.
Contains the AI agent's review process, considering relationships between tables and potential improvements to the initial classification.
Example:
"Upon review, I noticed that 'shopping_channel_categories' has strong
relationships with both channels and sales. However, since it primarily
defines the channel structure, it should remain in 'Systematic' namespace."
Iteration number of the requirements analysis this component organization was performed for.
Indicates which version of the requirements analysis this table organization reflects. This step number ensures that the database component structure is aligned with the current requirements and helps track the evolution of database architecture as business requirements change.
The step value enables proper synchronization between database organization and the underlying requirements, ensuring that the schema structure remains relevant to the current project scope and business objectives.
Initial thoughts on namespace classification criteria.
Contains the AI agent's initial analysis and reasoning about how to organize tables into different business domains/namespaces.
Example:
"Based on the business requirements, I identify several key domains:
- User-related entities should be grouped under 'Actors' namespace
- Product and sales information under 'Sales' namespace
- System configuration under 'Systematic' namespace"
Detailed token usage metrics for the current operation.
Contains comprehensive token consumption data including total usage, input token breakdown with cache statistics, and output token categorization by generation type. This component-level tracking enables precise analysis of resource utilization for specific agent operations such as schema generation, test writing, or code implementation.
The token usage data helps identify optimization opportunities, monitor operational costs, and ensure efficient use of AI resources throughout the automated backend development process.
Unique identifier for the event type.
A literal string that discriminates between different event types in the AutoBE system. This field enables TypeScript's discriminated union feature, allowing type-safe event handling through switch statements or conditional checks.
Examples: "analyzeWrite", "prismaSchemas", "interfaceOperations", "testScenarios"
Event fired when the Prisma agent organizes database tables into categorized groups during the database design process.
This event occurs when the Prisma agent has analyzed the requirements and determined the complete scope of database tables needed, organizing them into logical groups based on business domains and functional relationships. The component organization follows domain-driven design principles to ensure maintainable and coherent database architecture.
The categorized components provide a clear roadmap for the schema generation process, enabling systematic development of related tables while maintaining proper dependencies and relationships across the database design.
Author
Samchon