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Core Features Explained

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Table of Contents​

  1. Introduction
  2. Project Structure
  3. Core Components
  4. Architecture Overview
  5. Detailed Component Analysis
  6. Dependency Analysis
  7. Performance Considerations
  8. Troubleshooting Guide
  9. Conclusion

Introduction​

This document deeply analyzes the core business function implementation mechanism of the MyEntityName entity in the CMS plugin based on DDD architecture. It details the business logic orchestration process in MyEntityNameAppService focusing on features such as CRUD operations, pagination queries, batch deletion, cloning, sort adjustment, Excel import/export, and status control. It also explains the handling of cross-cutting concerns like input parameter validation, permission control, and audit logging, and demonstrates the mapping flow from DTO to domain entity.

Project Structure​

The project adopts a typical layered architecture design, following Domain-Driven Design (DDD) principles, including Application Layer, Domain Layer, Infrastructure Layer, and Shared Core Layer. Each module has clear responsibilities, decoupled through interfaces, supporting multi-database adaptation.

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Core Components​

Core business functions are implemented by MyEntityNameAppService, which inherits from CMSPluginAppService and implements the IMyEntityNameAppService interface. It uses IMyEntityNameRepository via dependency injection to manipulate data and utilizes AutoMapper for conversion between DTOs and entities.

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Architecture Overview​

The system adopts a typical Hexagonal Architecture, with the application service acting as the core coordinator connecting user requests and domain logic. All external interactions are defined through interfaces, ensuring core business logic is unaffected by technical details.

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Detailed Component Analysis​

CRUD Operation Analysis​

MyEntityNameAppService implements standard CRUD operations, including create, read, update, and delete functions. Create and update operations both contain complete input validation flows.

Create Operation Flow​

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Update Operation Flow​

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Pagination Query and Batch Operation Analysis​

Pagination Query Implementation​

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Batch Delete and Clone Flow​

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Sort Adjustment Mechanism Analysis​

The sort adjustment function is implemented through the AdjustSortAsync method, which intelligently reassigns the sort values of all entities to ensure sequence continuity and correctness.

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Excel Import/Export Function Analysis​

Import Function Flow​

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Export Function Flow​

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Dependency Analysis​

The system layers communicate through interfaces, achieving good decoupling. The application service layer depends on the domain layer's repository interface, while the concrete implementation is provided by the infrastructure layer.

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Performance Considerations​

The system considers several performance optimization measures in its design:

  • Use batch operations to reduce database round trips
  • Optimize query conditions through Specification Pattern
  • Adopt AutoMapper for efficient object mapping
  • Use batch update instead of item-by-item update during sort adjustment
  • Adopt streaming processing in import/export functions to avoid memory overflow

Troubleshooting Guide​

Common issues and solutions:

  • Import fails with duplicate name prompt: Check if there are records with the same name in the Excel file
  • Create prompts name already exists: Confirm if a same-named entity already exists in the system
  • Sort adjustment not taking effect: Ensure asynchronous results are handled correctly after calling AdjustSortAsync
  • Clone function generates duplicate names: System automatically adds clone tags to avoid conflicts
  • Export file is empty: Check if query conditions match any data

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Conclusion​

The implementation of MyEntityName entity functions fully demonstrates the advantages of DDD architecture, achieving high cohesion and low coupling design through clear layering and division of responsibilities. As the coordinator of business logic, the application service layer effectively integrates domain models, repository patterns, and DTO conversions, providing stable and reliable API interfaces. The implementation of import and export functions considers user experience and error handling, ensuring data operation security and traceability.

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