Resolve "as a admin，i want to read match table so that i can know all data and find out the errors that may occurred"

1.crud for back-end system 2.adjust before code

changed milestone to %Sprint 2

added In Progress label

requested review from @c24007548

mentioned in commit 5d54c979

merged

changed milestone to %Sprint 3

changed title from Resolve "As a user, I want to see the match details and be able to change my score" to Resolve "as a admin，i want to read match table so that i can know all data and find out the errors that may occurred"

removed In Progress label

requested review from @c24058946

• The @RestController annotation is appropriate for APIs returning JSON data.
• Mixing @RestController and methods returning ModelAndView for views (Thymeleaf in this case) can lead to confusion. Consider separating these into distinct controllers:
  • Use a @RestController for API endpoints.
  • Use a @Controller or @RestController for view-related methods.

There is significant duplication in the commented-out editMatchItemTh and addMatchItem methods. Remove the unused or old commented-out code to keep the class clean and readable.

• Consider adding JavaDoc comments to explain the purpose and behavior of each method.
• Add comments for the MatchRepository class to clarify its role (e.g., is it a database abstraction or in-memory storage?).

Avoid overly generic selectors like *, which can have unintended consequences. Instead, use specific selectors or reset styles for specific tags like body, div, ul, etc..

Your code adheres to RESTful API design principles, using POST/PUT/DELETE to map different operations with clear path naming, parameter names, and straightforward logic. The code is concise, but there are some areas for improvement:

1. Input Parameter Validation:
   The validation for MatchItem is lacking basic checks, such as verifying whether required fields are present or if field values are valid. You could use the @Valid annotation in combination with @RequestBody to implement parameter validation effectively. This would help ensure data integrity and reduce potential issues during runtime.
2. Return Values:
   Currently, all methods return void, which makes it difficult for the frontend to determine whether an operation was successful. It is recommended to return a standardized response structure, such as an object containing a status code, message, and data. This approach not only improves clarity but also aligns with best practices for API design, facilitating error handling and debugging.

Your code demonstrates defensive programming by performing null and invalid value checks on matchItem.getId() within the updateMatchItem method. Additionally, it shows good encapsulation by delegating database operations to the Repository layer, maintaining a clear separation of concerns. However, there are areas for improvement:

1. Custom Exceptions for Business Logic Errors:
   Using IllegalArgumentException for business logic errors, such as "Match item not found", is not semantically appropriate. It’s better to define a custom exception class (e.g., MatchItemNotFoundException) that conveys more specific intent about the nature of the error. This improves readability and makes the codebase easier to maintain.
2. Logging on Exceptions:
   Currently, there is no explicit logging when exceptions occur. Adding logging statements at the point where exceptions are thrown can significantly improve the ability to diagnose and resolve issues. Including relevant context in the log (e.g., the matchItem ID) can further enhance traceability.

Your SQL implementation is concise and clear, with logically correct statements and well-mapped relationships between fields and tables. Additionally, the use of jdbc.update improves performance by avoiding unnecessary object wrapping overhead. However, there are a few areas for improvement:

1. Handling null Values in SQL Mappings:
   The current implementation lacks checks for null values in field mappings, which may lead to SQL exceptions or unexpected behavior. Ensure that nullable fields are handled properly, either by setting default values or explicitly checking for null before executing the SQL statement.
2. Logging for SQL Operations:
   Adding logging for SQL statements and their parameters before and after execution would help in debugging and diagnosing issues. Include the SQL query and the parameter values in the log for better traceability.
3. Consistency in Naming Conventions:
   The naming convention for SQL fields and object properties (e.g., player_AId vs playerAId) is inconsistent. This can reduce code readability and increase the likelihood of errors. Standardizing on a consistent naming style, such as camelCase for object fields and snake_case for SQL columns, is recommended to improve maintainability.

Your CSS code adheres to principles of style separation and responsive design. However, there are areas where it can be further improved:

1. Reducing Redundancy:
   Styles common to backgroundCSS and matchDetailCSS (e.g., * and body) are duplicated. These shared styles can be extracted into a global stylesheet to avoid repetition and ensure consistency across components.
2. Unnecessary Nesting:
   In .title-h1, the nested selectors like h1 and p are unnecessary. Instead, directly use .title-h1 for the h1 styles and .title-h1 p for the p styles. This simplifies the CSS and avoids overly specific selectors.
3. Using CSS Variables:
   Replace hardcoded color values (e.g., dodgerblue) with CSS variables (e.g., --primary-color). This makes it easier to update the theme and ensures consistent usage of colors across the codebase.
4. Responsive Enhancements:
   If responsiveness is achieved using media queries, consider centralizing these queries or using a consistent breakpoint system (e.g., --breakpoint-sm, --breakpoint-md).

Your JavaScript code is functional but could benefit from improvements in defensive programming and reducing redundancy. Here are some suggestions:

1. Input Validation:
   Both addMatch and updateMatch methods lack validation for form inputs. Before submitting, validate that all required fields are filled and that their values are within acceptable ranges.
2. Extract Common Logic:
   The form-handling logic in addMatch and updateMatch is repetitive. Extracting it into a reusable method improves maintainability and reduces duplication.
3. Better Error Handling:
   Ensure that any errors during submission, such as network failures or API errors, are handled gracefully. Provide meaningful error messages to the user for better debugging and experience.
4. Consider Asynchronous Validation:
   For fields that depend on server-side checks (e.g., uniqueness constraints), consider integrating asynchronous validation before form submission.