execute to generate DDL and DML after getting all vertices and edges

[kazumatsudo]

Summary by CodeRabbit

• New Features
  • Introduced a new trait GraphElement to standardize elements within the graph domain, enhancing extensibility.
• Refactor
  • Improved readability and maintainability of code related to graph elements and use cases, including better error handling and asynchronous operations.
• Documentation
  • No visible changes to end-users.

[coderabbitai]

Walkthrough

The recent modifications encompass the introduction of a GraphElement trait, refining the architecture to enhance code readability and maintainability. This trait is now extended by both GraphEdge and GraphVertex, standardizing the toDdl and toDml methods across graph elements. In the use case implementations, the code has been restructured for better error handling and efficiency, notably through asynchronous operations and data processing enhancements.

Changes

Files	Change Summary
.../graph/GraphEdge.scala .../graph/GraphVertex.scala	Modified to extend GraphElement trait; toDdl and toDml methods overridden.
.../graph/GraphElement.scala	Introduced GraphElement trait providing toDdl and toDml methods.
.../usecase/ByExhaustiveSearch.scala .../usecase/UsingSpecificKeyList.scala	Refactored for improved readability, maintainability, and efficiency in asynchronous operations and data processing.
.../usecase/UsecaseBase.scala	Added toDdl and toDml methods for processing with foldLeft and returning Future results.

🐰✨
In the realm of code, where elements entwine,
A rabbit hopped through, making everything fine.
With traits and futures, the graph did align,
Celebrating changes, with a cheer so divine.
🌟📈

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[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (f8e10ef) 73.79% compared to head (92440ec) 73.65%.

❗ Your organization needs to install the Codecov GitHub app to enable full functionality.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #109      +/-   ##
==========================================
- Coverage   73.79%   73.65%   -0.15%     
==========================================
  Files          20       20              
  Lines         374      372       -2     
  Branches       42       38       -4     
==========================================
- Hits          276      274       -2     
  Misses         98       98              

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[coderabbitai]

Review Status

Actionable comments generated: 0

Configuration used: CodeRabbit UI

Commits

Files that changed from the base of the PR and between f8e10ef and 92440ec.

Files selected for processing (6)

• src/main/scala/domain/graph/GraphEdge.scala (3 hunks)
• src/main/scala/domain/graph/GraphElement.scala (1 hunks)
• src/main/scala/domain/graph/GraphVertex.scala (3 hunks)
• src/main/scala/usecase/ByExhaustiveSearch.scala (1 hunks)
• src/main/scala/usecase/UsecaseBase.scala (2 hunks)
• src/main/scala/usecase/UsingSpecificKeyList.scala (1 hunks)

Additional comments: 7

src/main/scala/domain/graph/GraphElement.scala (1)

• 6-9: The GraphElement trait definition with toDdl and toDml methods is clear and follows Scala best practices for trait design. This approach promotes code reuse and polymorphism for graph elements.

src/main/scala/usecase/UsecaseBase.scala (2)

• 25-31: The toDdl method implementation correctly uses foldLeft to accumulate TableList results from a View[T] where T extends GraphElement. This is a good use of Scala's collection transformations and asynchronous programming with Future.
• 33-38: The toDml method, similar to toDdl, properly accumulates RecordList results from a View[T]. The inclusion of a checkUnique parameter to control the merge behavior in accumulator.merge is a thoughtful design choice for handling unique constraints.

src/main/scala/domain/graph/GraphVertex.scala (1)

• 9-10: Extending GraphElement in GraphVertex and implementing the toDdl and toDml methods aligns with the PR's objectives to standardize SQL script generation. This is a solid application of Scala's trait and override mechanisms.

src/main/scala/usecase/ByExhaustiveSearch.scala (1)

• 35-50: Refactoring the vertex and edge SQL generation logic to use toDdl and toDml methods simplifies the code and enhances readability. This change effectively leverages the newly introduced GraphElement trait and its methods, aligning with the PR's objectives for maintainability and standardization.

src/main/scala/domain/graph/GraphEdge.scala (1)

• 11-12: Extending GraphElement in GraphEdge and implementing the toDdl and toDml methods aligns with the PR's objectives to standardize SQL script generation. This is a proper use of Scala's trait and override mechanisms, similar to the GraphVertex implementation.

src/main/scala/usecase/UsingSpecificKeyList.scala (1)

• 49-77: The refactoring in UsingSpecificKeyList to use Future.sequence for handling asynchronous operations and the restructuring of data processing for vertices and edges significantly improves the control flow and logic. This approach enhances efficiency and readability, aligning with the PR's objectives for optimizing asynchronous operation handling.