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HCMPRE-499 : Adding Employee Assignment to Plan config #892
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Important Review skippedAuto reviews are disabled on base/target branches other than the default branch. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the WalkthroughThe changes in this pull request introduce new configuration properties and constants related to HRMS and project management functionalities. A new repository interface and its implementation have been created to manage plan employee assignments, along with a query builder and row mapper for handling database interactions. Additionally, modifications have been made to existing classes to streamline error handling and data processing. Changes
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health-services/plan-service/src/main/java/digit/web/models/RequestInfoWrapper.java (3)
8-13:
⚠️ Potential issueConsider removing the @component annotation.
The Lombok annotations (@getter, @Setter, @AllArgsConstructor, @NoArgsConstructor, @builder) are appropriate for reducing boilerplate code. However, the @component annotation suggests this class is meant to be a Spring bean, which is unusual for a simple data wrapper.
Unless there's a specific reason to make this class a Spring-managed bean, consider removing the @component annotation. This class appears to be a simple data structure and typically wouldn't need to be managed by the Spring container.
16-17: 🛠️ Refactor suggestion
Consider the necessity of this wrapper class.
The field declaration is appropriate:
- The
requestInfo
field of typeRequestInfo
is correctly defined.- The
@JsonProperty("RequestInfo")
annotation ensures proper JSON serialization/deserialization.However, consider whether this wrapper class is necessary. If
RequestInfoWrapper
is only used to wrap a singleRequestInfo
object, it might be adding unnecessary complexity. Unless there's a specific requirement for this wrapper (e.g., to conform to a particular API structure), you might consider usingRequestInfo
directly in your code.If you decide to keep this wrapper, please add a comment explaining its purpose and why it's needed over using
RequestInfo
directly.
1-18: 🧹 Nitpick (assertive)
Summary: Well-structured class, but consider its necessity and Spring integration.
Overall, the
RequestInfoWrapper
class is well-structured and correctly implemented. However, there are two main points to consider:
- The necessity of this wrapper class for a single
RequestInfo
field.- The use of the
@Component
annotation, which may not be appropriate for this type of class.Next steps:
- Evaluate if this wrapper class is truly necessary or if
RequestInfo
can be used directly.- If the wrapper is needed, add a comment explaining its purpose and usage.
- Remove the
@Component
annotation unless there's a specific reason for making this a Spring-managed bean.- Consider adding unit tests for this class if it's determined to be necessary.
These changes will help improve the overall architecture and maintainability of the codebase.
health-services/plan-service/src/main/java/digit/repository/PlanEmployeeAssignmentRepository.java (4)
1-5: 🧹 Nitpick (assertive)
Consider replacing wildcard import with specific imports.
The wildcard import
import digit.web.models.*
might lead to naming conflicts and reduced code readability. It's generally better to explicitly import only the classes you need.Replace the wildcard import with specific imports for the classes you're using from the
digit.web.models
package. For example:import digit.web.models.PlanEmployeeAssignmentRequest; import digit.web.models.PlanEmployeeAssignment; import digit.web.models.PlanEmployeeAssignmentSearchCriteria;This change will make the code more explicit about its dependencies and easier to maintain.
7-7: 🧹 Nitpick (assertive)
Interface declaration looks good. Consider adding @repository annotation.
The interface name
PlanEmployeeAssignmentRepository
is clear and follows Java naming conventions.If this interface is intended to be used with Spring Data, consider adding the
@Repository
annotation:import org.springframework.stereotype.Repository; @Repository public interface PlanEmployeeAssignmentRepository { // ... }This annotation helps Spring to detect custom repositories and avoid configuration errors.
9-9: 🛠️ Refactor suggestion
Consider returning the created entity or its identifier.
The
create
method currently returnsvoid
, which doesn't provide any feedback about the created entity.Consider modifying the method signature to return the created entity or its identifier. This allows the caller to know the result of the operation and potentially use the created entity immediately. For example:
public PlanEmployeeAssignment create(PlanEmployeeAssignmentRequest planEmployeeAssignmentRequest);or
public String create(PlanEmployeeAssignmentRequest planEmployeeAssignmentRequest);if you prefer to return just the identifier.
11-13: 🧹 Nitpick (assertive)
Search method looks good. Consider returning the updated entity from the update method.
The
search
method is well-defined, returning a list of matching entities.For the
update
method:Consider modifying the
update
method to return the updated entity. This provides immediate feedback about the result of the update operation. For example:public PlanEmployeeAssignment update(PlanEmployeeAssignmentRequest planEmployeeAssignmentRequest);This change would make the interface more consistent with common repository patterns and provide more useful information to the caller.
health-services/plan-service/src/main/java/digit/web/models/projectFactory/CampaignSearchReq.java (2)
9-14: 🧹 Nitpick (assertive)
LGTM: Class declaration and annotations are well-structured.
The class name
CampaignSearchReq
is descriptive and follows Java naming conventions. The use of Lombok annotations@Data
and@Builder
is appropriate for generating boilerplate code.Consider expanding the JavaDoc comment to provide more details about the purpose and usage of this class. For example:
/** * CampaignSearchReq * * This class represents a request object for searching campaigns. * It encapsulates the request information and search criteria used for querying campaign details. */
20-21:
⚠️ Potential issueConsider aligning the JSON property name with the field name.
The
campaignSearchCriteria
field is generally well-defined, but there's a potential inconsistency:
- The field name
campaignSearchCriteria
follows Java naming conventions (camelCase).- However, the
@JsonProperty("CampaignDetails")
annotation specifies a different name for the JSON property.This inconsistency might lead to confusion when working with JSON serialization/deserialization.
Consider one of the following options to resolve this:
If the JSON property should indeed be "CampaignDetails", rename the field to match:
@JsonProperty("CampaignDetails") private CampaignSearchCriteria campaignDetails;If the field name is correct, update the JSON property name to match:
@JsonProperty("campaignSearchCriteria") private CampaignSearchCriteria campaignSearchCriteria;Choose the option that best aligns with your API design and naming conventions.
health-services/plan-service/src/main/java/digit/web/models/projectFactory/Product.java (2)
9-16: 🧹 Nitpick (assertive)
Enhance the class Javadoc comment.
The Lombok annotations (@DaTa, @AllArgsConstructor, @NoArgsConstructor, @builder) are used appropriately to reduce boilerplate code. However, the Javadoc comment for the class could be more informative.
Consider expanding the Javadoc comment to provide more context about the purpose and usage of the Product class. For example:
/** * Represents a product in the health campaign service. * This class encapsulates the basic properties of a product, * including its name, count, and value. */
18-25: 🧹 Nitpick (assertive)
Consider the type of the 'value' property.
The class structure and properties are well-defined, and the use of @JsonProperty annotations is correct for JSON serialization/deserialization. However, there's a potential improvement to consider:
The 'value' property is currently defined as a String. Depending on its intended use, it might be more appropriate to use a numeric type like Double or BigDecimal, especially if it represents a monetary value or a quantity. For example:
import java.math.BigDecimal; // ... @JsonProperty("value") private BigDecimal value;This change would provide more precise handling of decimal values and prevent potential issues with string-to-number conversions.
health-services/plan-service/src/main/java/digit/web/models/projectFactory/Condition.java (2)
9-16: 🧹 Nitpick (assertive)
Enhance the JavaDoc comment for better documentation.
While the class structure and annotations look good, the JavaDoc comment could be more descriptive. Consider expanding it to include a brief explanation of the class's purpose and its properties.
Here's a suggested improvement:
/** * Represents a condition used in the project factory. * This class encapsulates the logic for handling conditions with a value, operator, and attribute. */
18-25: 🛠️ Refactor suggestion
Consider using more specific types for better type safety.
While the current implementation using String for all properties is functional, it might be beneficial to use more specific types for better type safety and clarity. For example:
- The
operator
property could be an enum if there's a fixed set of possible operators.- The
value
property might benefit from a generic type if it can represent different data types.Here's a potential refactoring to consider:
public class Condition<T> { @JsonProperty("value") private T value; @JsonProperty("operator") private ConditionOperator operator; @JsonProperty("attribute") private String attribute; } public enum ConditionOperator { EQUALS, NOT_EQUALS, GREATER_THAN, LESS_THAN // Add other operators as needed }This change would provide better type safety and make the code more self-documenting. However, evaluate if this aligns with your specific use case and existing codebase structure before implementing.
health-services/plan-service/src/main/java/digit/web/models/projectFactory/CampaignResponse.java (2)
13-15: 🧹 Nitpick (assertive)
LGTM: Lombok annotations reduce boilerplate, but be cautious with @DaTa.
The use of Lombok annotations (
@Data
,@AllArgsConstructor
,@NoArgsConstructor
) effectively reduces boilerplate code. However, be aware that@Data
can sometimes lead to issues with bidirectional relationships or when customequals
/hashCode
implementations are necessary. Consider using more specific annotations like@Getter
,@Setter
,@ToString
if you need more control over the generated methods in the future.
18-28: 🧹 Nitpick (assertive)
LGTM: Field declarations and annotations are appropriate, with a minor suggestion.
The use of
@JsonProperty
and@Valid
annotations is correct and follows best practices for JSON handling and validation. However, consider the following suggestions:
The
totalCount
field is declared asInteger
, which allows for null values. If a count should always be available, consider using the primitiveint
type instead.All fields are initialized to
null
. While this is the default behavior, you might want to consider initializingcampaignDetails
to an empty list to avoid potential null checks later in the code:private List<CampaignDetail> campaignDetails = new ArrayList<>();These changes could improve robustness and reduce the chance of null pointer exceptions.
health-services/plan-service/src/main/java/digit/web/models/projectFactory/Boundary.java (3)
9-16: 🧹 Nitpick (assertive)
Enhance the class-level Javadoc comment.
While the class structure and annotations look good, the Javadoc comment for the
Boundary
class could be more informative. Consider expanding it to include:
- A brief description of what a
Boundary
represents in your system.- The purpose of this class and its role in the project.
- Any important notes about usage or behavior.
Example:
/** * Represents a boundary entity in the project factory. * * This class is used to define geographical or organizational boundaries * within the health campaign system. It supports hierarchical structures * and can be used to represent areas like districts, zones, or departments. */
18-31: 🛠️ Refactor suggestion
Consider using primitive boolean for
isRoot
andincludeAllChildren
.The fields
isRoot
andincludeAllChildren
are currently defined asBoolean
objects. Consider the following points:
- If these fields are always expected to have a true or false value (never null), using the primitive
boolean
type might be more appropriate.- If null values are intentional and meaningful in your use case, ensure that null checks are implemented where these fields are used to prevent potential
NullPointerException
s.Example of using primitive boolean:
@JsonProperty("isRoot") private boolean isRoot; @JsonProperty("includeAllChildren") private boolean includeAllChildren;If you decide to keep the
Boolean
object type, make sure to handle potential null values in the code that uses these fields.
1-32: 🛠️ Refactor suggestion
Consider adding input validation.
The
Boundary
class looks well-structured as a data model. To enhance its robustness, consider adding input validation:
- Use Bean Validation annotations (e.g.,
@NotNull
,@Size
) to enforce constraints on the fields.- Implement custom validation logic if needed, especially for fields like
code
ortype
that might have specific format requirements.Example:
import javax.validation.constraints.NotNull; import javax.validation.constraints.Size; public class Boundary { @NotNull @Size(min = 1, max = 50) @JsonProperty("code") private String code; // ... other fields with appropriate validations }This will help ensure data integrity and catch potential issues early in the processing pipeline.
health-services/plan-service/src/main/java/digit/web/models/projectFactory/Resource.java (3)
12-16: 🧹 Nitpick (assertive)
Consider using more specific Lombok annotations.
While the current annotations (@DaTa, @AllArgsConstructor, @NoArgsConstructor, @builder) provide comprehensive functionality, they might expose more than necessary. Consider using more specific annotations based on the class's intended usage:
- If immutability is desired, replace @DaTa with @value
- If only getters are needed, use @getter instead of @DaTa
- If you need toString, equals, and hashCode, but not setters, use @tostring, @EqualsAndHashCode, and @getter
This approach can help in creating a more focused API for the Resource class.
18-31: 🛠️ Refactor suggestion
Fields are well-defined, but consider type refinements.
The fields and their @JsonProperty annotations are appropriate for representing a resource and facilitating JSON serialization/deserialization. The field names are clear and descriptive.
However, consider the following suggestions:
- The
type
field could benefit from being an enum if there's a fixed set of resource types.- For
resourceId
,filestoreId
, andcreateResourceId
, consider using a more specific type (e.g., UUID) if they follow a particular format.- Add validation annotations (e.g., @NotNull, @SiZe) from Jakarta Validation API if certain fields are required or have specific constraints.
Example:
@NotNull @JsonProperty("type") private ResourceType type; @NotNull @JsonProperty("resourceId") private UUID resourceId;These changes could enhance type safety and validation in your Resource class.
9-11: 🧹 Nitpick (assertive)
Enhance class documentation.
The current Javadoc comment for the Resource class is minimal and doesn't provide enough information about its purpose or usage. Consider expanding the documentation to include:
- A brief description of what a Resource represents in your system.
- The purpose of this class in the context of the project.
- Any important notes about usage or behavior.
Example:
/** * Represents a resource in the health campaign system. * This class is used to encapsulate information about various types of resources, * such as documents, images, or other files associated with health campaigns. * * It is typically used in API responses or as part of larger data structures * in the project factory module. */Providing more comprehensive documentation will help other developers understand and use this class correctly.
health-services/plan-service/src/main/java/digit/web/models/PlanEmployeeAssignmentRequest.java (3)
23-29: 🧹 Nitpick (assertive)
LGTM: Well-structured fields with appropriate annotations.
The fields are well-defined with proper annotations for JSON handling and validation.
The explicit initialization of fields to
null
is unnecessary in Java, as it's the default value for object references. Consider removing the redundant initializations:@JsonProperty("RequestInfo") @Valid -private RequestInfo requestInfo = null; +private RequestInfo requestInfo; @JsonProperty("PlanEmployeeAssignment") @Valid -private PlanEmployeeAssignment planEmployeeAssignment = null; +private PlanEmployeeAssignment planEmployeeAssignment;This change simplifies the code without altering its behavior.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@JsonProperty("RequestInfo") @Valid private RequestInfo requestInfo; @JsonProperty("PlanEmployeeAssignment") @Valid private PlanEmployeeAssignment planEmployeeAssignment;
13-21: 🧹 Nitpick (assertive)
Enhance the class-level Javadoc comment.
While it's good that a Javadoc comment is present, it currently doesn't provide any meaningful information about the class's purpose or usage.
Consider expanding the Javadoc to provide more context:
/** * PlanEmployeeAssignmentRequest + * + * This class represents a request object for assigning employees to a plan. + * It encapsulates both the request information and the plan employee assignment details. + * + * @see RequestInfo + * @see PlanEmployeeAssignment */ @Validated @DataThis improved Javadoc gives users of the class a better understanding of its purpose and related classes.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements./** * PlanEmployeeAssignmentRequest * * This class represents a request object for assigning employees to a plan. * It encapsulates both the request information and the plan employee assignment details. * * @see RequestInfo * @see PlanEmployeeAssignment */ @Validated @Data @AllArgsConstructor @NoArgsConstructor @Builder public class PlanEmployeeAssignmentRequest {
16-20: 🧹 Nitpick (assertive)
LGTM: Appropriate use of annotations for a DTO.
The class-level annotations are well-chosen for a Data Transfer Object:
@Validated
enables method-level validation.- Lombok annotations reduce boilerplate code.
Consider adding
@JsonIgnoreProperties(ignoreUnknown = true)
to make the class more resilient to API changes:+import com.fasterxml.jackson.annotation.JsonIgnoreProperties; @Validated +@JsonIgnoreProperties(ignoreUnknown = true) @Data @AllArgsConstructor @NoArgsConstructor @Builder public class PlanEmployeeAssignmentRequest {This addition will allow the class to ignore any unknown properties during deserialization, making it more flexible to future API changes.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.import com.fasterxml.jackson.annotation.JsonIgnoreProperties; @Validated @JsonIgnoreProperties(ignoreUnknown = true) @Data @AllArgsConstructor @NoArgsConstructor @Builder
health-services/plan-service/src/main/java/digit/web/models/projectFactory/Pagination.java (3)
12-19: 🧹 Nitpick (assertive)
Approve class structure with a suggestion for JavaDoc improvement.
The class structure and Lombok annotations are well-chosen, reducing boilerplate code. However, the JavaDoc comment could be more descriptive.
Consider expanding the JavaDoc comment to provide more information about the class's purpose and usage. For example:
/** * Pagination class to handle sorting and limiting of results in API responses. * This class is used to configure how results should be paginated and sorted. */
21-25: 🧹 Nitpick (assertive)
Approve
sortBy
andsortOrder
fields with suggestions.The
sortBy
andsortOrder
fields are correctly annotated with@JsonIgnore
, indicating they're for internal use.Consider the following improvements:
- Add validation to ensure
sortOrder
only accepts valid values (e.g., "ASC" or "DESC").- Use an enum for
sortOrder
to restrict possible values.- Add documentation comments to explain the expected format for these fields.
Example implementation:
@JsonIgnore private String sortBy; @JsonIgnore @Pattern(regexp = "^(ASC|DESC)$", message = "Sort order must be either ASC or DESC") private String sortOrder;Or using an enum:
public enum SortOrder { ASC, DESC } @JsonIgnore private SortOrder sortOrder;
1-35: 🧹 Nitpick (assertive)
Overall approval with suggestions for potential enhancements.
The
Pagination
class is well-designed for basic pagination needs. It effectively uses annotations for JSON handling, validation, and boilerplate code generation.Consider the following enhancements for increased flexibility and robustness:
- Add a
totalCount
field to support calculating total pages.- Implement a method to calculate the current page number.
- Add a method to check if there are more pages available.
- Consider making the class generic to support type-safe sorting fields.
Example implementation:
@JsonProperty("totalCount") private Long totalCount; public int getCurrentPage() { return offset / limit + 1; } public boolean hasNextPage() { return (offset + limit) < totalCount; }For type-safe sorting:
public class Pagination<T> { @JsonIgnore private Function<T, ?> sortBy; // ... other fields and methods }These additions would make the pagination more informative and flexible for various use cases.
health-services/plan-service/src/main/java/digit/web/models/PlanEmployeeAssignmentRequestDTO.java (2)
13-15: 🧹 Nitpick (assertive)
Enhance class documentation for better clarity.
The current Javadoc comment is minimal and doesn't provide sufficient information about the class's purpose or usage. Consider expanding the documentation to include:
- A brief description of the class's role in the system.
- Explanation of the main fields and their purposes.
- Any important notes about usage or validation.
Here's a suggested improvement:
/** * Represents a request for Plan Employee Assignment operations. * This class encapsulates both the request metadata and the plan employee assignment details. * * The class is used for incoming API requests related to employee assignments in plans. * * @see RequestInfo * @see PlanEmployeeAssignmentDTO */This enhanced documentation provides more context and helps developers understand the purpose and structure of the class.
23-29: 🧹 Nitpick (assertive)
Class structure is good, but consider renaming a field for clarity.
The class structure with two fields (requestInfo and planEmployeeAssignmentDTO) is appropriate for a request DTO. The use of @JsonProperty and @Valid annotations is correct for JSON mapping and nested validation.
However, for improved clarity and consistency with the JSON property name, consider renaming the
planEmployeeAssignmentDTO
field:- private PlanEmployeeAssignmentDTO planEmployeeAssignmentDTO = null; + private PlanEmployeeAssignmentDTO planEmployeeAssignment = null;This change would make the field name consistent with its JSON property name "PlanEmployeeAssignment".
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@JsonProperty("RequestInfo") @Valid private RequestInfo requestInfo = null; @JsonProperty("PlanEmployeeAssignment") @Valid private PlanEmployeeAssignmentDTO planEmployeeAssignment = null;
health-services/plan-service/src/main/java/digit/web/models/hrms/EmployeeRequest.java (1)
31-34: 🧹 Nitpick (assertive)
LGTM with a minor suggestion: Well-defined employees field
The employees field is properly declared and annotated:
- @Valid ensures each Employee object in the list is validated.
- @nonnull (Lombok) ensures the field itself is not null.
- @JsonProperty("Employees") maintains consistency with external JSON representations.
- The field is correctly encapsulated as private.
Consider using @NotNull instead of @nonnull for consistency with the requestInfo field, as they serve the same purpose in this context. This change would make the validation annotations consistent throughout the class:
-@NonNull +@NotNull @JsonProperty("Employees") private List<Employee> employees;📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@Valid @NotNull @JsonProperty("Employees") private List<Employee> employees;
health-services/plan-service/src/main/java/digit/web/models/PlanEmployeeAssignmentResponse.java (1)
22-31: 🧹 Nitpick (assertive)
Consider adding JavaDoc comments for fields.
While the class structure is well-defined, adding JavaDoc comments for the
responseInfo
andplanEmployeeAssignment
fields would enhance code readability and maintainability. This documentation can provide valuable context about the purpose and usage of each field.Here's an example of how you could add JavaDoc comments:
/** * Response information related to the API call. */ @JsonProperty("ResponseInfo") @Valid private ResponseInfo responseInfo = null; /** * List of plan employee assignments. */ @JsonProperty("PlanEmployeeAssignment") @Valid private List<PlanEmployeeAssignment> planEmployeeAssignment = null;health-services/plan-service/src/main/java/digit/web/models/PlanEmployeeAssignmentSearchRequest.java (3)
15-19: 🧹 Nitpick (assertive)
LGTM: Appropriate use of annotations. Consider adding
@JsonIgnoreProperties
.The use of Lombok annotations (
@Data
,@AllArgsConstructor
,@NoArgsConstructor
,@Builder
) effectively reduces boilerplate code. The@Validated
annotation is good for enabling method-level validation.Consider adding the
@JsonIgnoreProperties(ignoreUnknown = true)
annotation to make the class more resilient to API changes:import com.fasterxml.jackson.annotation.JsonIgnoreProperties; @JsonIgnoreProperties(ignoreUnknown = true) @Validated @Data @AllArgsConstructor @NoArgsConstructor @Builder public class PlanEmployeeAssignmentSearchRequest { // ... existing code ... }This addition will allow the class to ignore any unknown properties during deserialization, making it more flexible to API changes.
20-20: 🧹 Nitpick (assertive)
LGTM: Class declaration is appropriate. Consider making it final if extension is not needed.
The class name
PlanEmployeeAssignmentSearchRequest
is descriptive and follows Java naming conventions. Its public visibility is appropriate for a DTO.If this class is not intended to be extended, consider making it final:
public final class PlanEmployeeAssignmentSearchRequest { // ... existing code ... }This would prevent unintended subclassing and potentially improve performance. However, only do this if you're certain that the class should not be extended in the future.
22-28: 🧹 Nitpick (assertive)
LGTM: Field declarations are well-structured. Consider a few minor improvements.
The use of
@JsonProperty
and@Valid
annotations is appropriate for JSON handling and cascading validation.Consider the following improvements:
- Remove redundant null initializations:
@JsonProperty("RequestInfo") @Valid private RequestInfo requestInfo; @JsonProperty("PlanEmployeeAssignmentSearchCriteria") @Valid private PlanEmployeeAssignmentSearchCriteria planEmployeeAssignmentSearchCriteria;
- For consistency with Java naming conventions, consider changing the
@JsonProperty
value forrequestInfo
to start with a lowercase letter:@JsonProperty("requestInfo")However, only make this change if it doesn't break existing API contracts or if you're sure that no other parts of the system depend on the current capitalization.
health-services/plan-service/src/main/resources/db/migration/main/V20242109141800__plan_employee_assignment_create_ddl.sql (2)
1-17: 🛠️ Refactor suggestion
Suggestions for improving table structure and constraints
The table structure looks good overall, but there are a few suggestions for improvement:
The primary key constraint name
uk_plan_employee_assignment_id
uses a prefix typically used for unique keys. Consider renaming it topk_plan_employee_assignment
for clarity.The foreign key constraint lacks a name. Adding a name would make it easier to manage in the future. For example:
CONSTRAINT fk_plan_employee_assignment_plan_configuration FOREIGN KEY (plan_configuration_id) REFERENCES plan_configuration(id)For
created_time
andlast_modified_time
, consider usingTIMESTAMP WITH TIME ZONE
instead ofbigint
. This would provide better date-time handling and timezone awareness.Some columns might be required and should have a
NOT NULL
constraint. For example:tenant_id character varying(64) NOT NULL, plan_configuration_id character varying(64) NOT NULL, employee_id character varying(64) NOT NULL, role character varying(64) NOT NULL, created_by character varying(64) NOT NULL, created_time bigint NOT NULL,Depending on your query patterns, you might want to add indexes on frequently queried columns. For example:
CREATE INDEX idx_plan_employee_assignment_tenant_id ON plan_employee_assignment(tenant_id); CREATE INDEX idx_plan_employee_assignment_employee_id ON plan_employee_assignment(employee_id);
8-8: 🛠️ Refactor suggestion
Consider constraining the
jurisdiction
columnThe
jurisdiction
column is currently defined as TEXT, which allows for storing large amounts of data without any limit. Depending on your requirements, you might want to consider:
Using a more constrained type if the jurisdiction data is expected to be relatively short. For example:
jurisdiction character varying(255),If you need to keep it as TEXT but want to prevent extremely large values, you could add a CHECK constraint:
jurisdiction TEXT, CONSTRAINT chk_jurisdiction_length CHECK (length(jurisdiction) <= 1000)This would help prevent potential performance issues and ensure data consistency.
health-services/plan-service/src/main/java/digit/web/models/hrms/DepartmentalTest.java (3)
18-26: 🧹 Nitpick (assertive)
LGTM: Class annotations are well-chosen, with a minor suggestion.
The use of Lombok annotations effectively reduces boilerplate code, improving maintainability. The @validated annotation ensures class-level validation, which is a good practice. Excluding "auditDetails" from @EqualsAndHashCode is appropriate for audit fields.
Consider adding
@JsonInclude(JsonInclude.Include.NON_NULL)
to exclude null fields from JSON serialization, which can help reduce payload size in API responses.
28-42: 🧹 Nitpick (assertive)
LGTM: Fields are well-defined, with suggestions for enhanced validation.
The class fields are appropriately defined with suitable types. The use of @NotNull on required fields ensures proper validation.
Consider the following enhancements:
- Add @pattern annotation to validate the 'id' field if it's expected to be a UUID.
- Use @min and @max annotations on 'yearOfPassing' to ensure it's within a reasonable range.
- Consider using @notblank instead of @NotNull for the 'test' field if it shouldn't be an empty string.
Example:
@Pattern(regexp = "^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$", message = "Invalid UUID format") private String id; @NotNull @NotBlank private String test; @NotNull @Min(1900) @Max(2100) private Long yearOfPassing;
1-44: 🧹 Nitpick (assertive)
Overall, the DepartmentalTest class is well-designed and implemented.
The class follows Java and Spring best practices, effectively using Lombok annotations to reduce boilerplate code. It represents a departmental test entity with appropriate fields and basic validation.
To further improve the class:
- Consider implementing a custom validator for complex business rules if needed.
- If this class is used in API responses, consider adding Swagger annotations for better API documentation.
- Ensure that this class aligns with the domain model in your application's architecture. If it's meant to be a DTO (Data Transfer Object), consider naming it
DepartmentalTestDTO
for clarity.health-services/plan-service/src/main/java/digit/web/models/hrms/ServiceHistory.java (3)
16-24: 🧹 Nitpick (assertive)
LGTM: Annotations are well-chosen, with a minor suggestion.
The use of Lombok annotations effectively reduces boilerplate code, improving maintainability. The
@Validated
annotation is good for ensuring data integrity. ExcludingauditDetails
from@EqualsAndHashCode
is a common and correct practice for audit fields.Consider adding the
@JsonInclude(JsonInclude.Include.NON_NULL)
annotation to exclude null fields from JSON serialization, which can help reduce payload size in API responses.
26-42: 🧹 Nitpick (assertive)
LGTM: Fields are well-defined, with suggestions for improvement.
The fields adequately represent various aspects of a service history. The use of appropriate types (String, Long, Boolean) for different fields is commendable.
Consider the following improvements:
- Add
@NotNull
annotations to required fields to enforce data integrity.- Use
Instant
orLocalDateTime
instead ofLong
forserviceFrom
andserviceTo
to improve readability and type safety.- Consider using an enum for
serviceStatus
to restrict possible values.Example:
@NotNull private String id; @NotNull private ServiceStatus serviceStatus; @NotNull private Instant serviceFrom; private Instant serviceTo; // ... other fields ... public enum ServiceStatus { ACTIVE, INACTIVE, SUSPENDED // Add other statuses as needed }
24-46: 🧹 Nitpick (assertive)
Add class-level documentation for improved clarity.
The class structure is well-organized and follows good Java practices. However, adding class-level documentation would greatly improve its usability and maintainability.
Consider adding a Javadoc comment to describe the purpose and usage of the
ServiceHistory
class. For example:/** * Represents the historical data of a service in the health campaign system. * This class encapsulates various attributes related to a service's status and details over time. * It is used to track changes in service assignments and positions. * * @author YourName * @version 1.0 * @since YYYY-MM-DD */ public class ServiceHistory { // ... existing code ... }health-services/plan-service/src/main/java/digit/web/models/hrms/DeactivationDetails.java (2)
27-41: 🧹 Nitpick (assertive)
LGTM: Fields are well-defined, with a minor suggestion.
The class fields are appropriate for a deactivation details model. The use of
@NotNull
annotations on required fields is correct.Consider using
Instant
orLocalDateTime
instead ofLong
for theeffectiveFrom
field to improve type safety and readability. If you decide to keepLong
, add a comment explaining the time unit (e.g., milliseconds since epoch) for clarity.
1-46: 🧹 Nitpick (assertive)
LGTM: Well-structured class with a suggestion for documentation.
The
DeactivationDetails
class is well-designed, following Java and Spring best practices. It effectively uses Lombok annotations to reduce boilerplate code and includes appropriate validation annotations.Consider adding Javadoc comments to the class and its fields to provide more context about their usage within the HRMS system. This would improve code maintainability and make it easier for other developers to understand the purpose of this class and its relationship to other components in the system.
health-services/plan-service/src/main/java/digit/web/models/hrms/ReactivationDetails.java (3)
17-25: 🧹 Nitpick (assertive)
LGTM: Class annotations are well-chosen, with a minor suggestion.
The use of Lombok annotations reduces boilerplate code, improving maintainability. Excluding "auditDetails" from @EqualsAndHashCode is a good practice. The @validated annotation is appropriate for validation contexts.
Consider adding
@JsonInclude(JsonInclude.Include.NON_NULL)
to exclude null fields from JSON serialization, which can help reduce payload size in API responses.
27-41: 🧹 Nitpick (assertive)
LGTM: Fields are well-defined, with suggestions for improvement.
The fields appropriately represent reactivation details, and the use of @NotNull on critical fields ensures data integrity.
Consider the following improvements:
- Replace
Long effectiveFrom
withjava.time.Instant effectiveFrom
for better date-time handling.- Add
@NotBlank
annotation totenantId
if it's always required and shouldn't be an empty string.- If
id
is not auto-generated, consider adding@NotNull
annotation.Example:
import java.time.Instant; import javax.validation.constraints.NotBlank; // ... @NotBlank private String tenantId; @NotNull private Instant effectiveFrom;
1-47: 🧹 Nitpick (assertive)
LGTM: Well-structured class with room for potential enhancements.
The
ReactivationDetails
class is well-designed, uses Lombok effectively to reduce boilerplate, and follows good Java practices. It appears to be a solid foundation for tracking reactivation of employees or services in the health services system.Consider the following enhancements to make the class more robust and flexible:
Add custom validation annotations or methods for complex business rules, if needed. For example, you might want to ensure that
effectiveFrom
is not in the past.Implement a
toDto()
method if this class is used as an entity, to facilitate easy conversion to a Data Transfer Object for API responses.Consider adding a
status
field to track the current state of the reactivation process, if applicable to your use case.If this class is part of a larger domain model, ensure it properly integrates with related entities (e.g., Employee, Service) through appropriate relationships or references.
Example of a custom validation method:
@AssertTrue(message = "Effective date must not be in the past") private boolean isEffectiveDateValid() { return effectiveFrom == null || effectiveFrom.isAfter(Instant.now()); }health-services/plan-service/src/main/java/digit/web/models/projectFactory/DeliveryRule.java (3)
12-19: 🧹 Nitpick (assertive)
LGTM: Class structure and annotations, with a suggestion for Javadoc.
The use of Lombok annotations (@DaTa, @AllArgsConstructor, @NoArgsConstructor, @builder) is appropriate and helps reduce boilerplate code. The class name is clear and descriptive.
Consider expanding the Javadoc comment to provide more information about the purpose and usage of the DeliveryRule class. For example:
/** * Represents a delivery rule in the project factory. * This class encapsulates the details of a delivery rule, including its timing, * associated products, conditions, and identifiers. */
21-42: 🧹 Nitpick (assertive)
LGTM: Field structure and annotations, with a suggestion for date fields.
The use of @JsonProperty annotations and @Valid for List types is appropriate. The field names are clear and descriptive.
Consider using a more specific date/time type for
startDate
andendDate
instead ofLong
. This would improve type safety and make the intent clearer. For example, you could usejava.time.Instant
orjava.time.LocalDateTime
:- @JsonProperty("endDate") - private Long endDate; + @JsonProperty("endDate") + private Instant endDate; - @JsonProperty("startDate") - private Long startDate; + @JsonProperty("startDate") + private Instant startDate;If you decide to use
Instant
, make sure to add the following import:import java.time.Instant;This change would require updating any code that interacts with these fields to use the appropriate date/time methods instead of working with raw Long values.
1-43: 🛠️ Refactor suggestion
Consider adding field-level validation and improving documentation.
The overall structure of the DeliveryRule class is well-designed. To further improve it, consider the following suggestions:
- Add field-level validation using Jakarta Validation annotations. For example:
@NotNull @Min(1) private Integer cycleNumber; @NotEmpty private List<Product> products;
Enhance the documentation by adding Javadoc comments to each field, explaining their purpose and any constraints.
Consider creating a separate documentation file or expanding the class-level Javadoc to explain the relationship between DeliveryRule and other classes like Product and Condition.
These improvements will enhance the robustness and maintainability of the code.
health-services/plan-service/src/main/java/digit/web/models/hrms/EducationalQualification.java (3)
44-44: 🧹 Nitpick (assertive)
Add documentation for audit details handling.
The inclusion of
AuditDetails
is a good practice for tracking changes. However, it's not clear from this class how theauditDetails
field is populated or managed.Consider adding a comment or documentation to explain:
- When and how
auditDetails
is populated.- Any specific business rules or lifecycle events that trigger updates to
auditDetails
.- Whether there are any services or aspects responsible for managing this field.
This documentation will help other developers understand the audit trail mechanism in your system.
26-49: 🧹 Nitpick (assertive)
LGTM: Well-structured data model. Consider adding class-level documentation.
The
EducationalQualification
class is well-designed as a data model. Its flat structure and use of Lombok annotations for immutability are appropriate. The inclusion ofid
andtenantId
suggests it's designed for use with JPA or a similar ORM.To further improve the class, consider adding a class-level Javadoc comment explaining:
- The purpose and usage of this class within the HRMS system.
- Any specific business rules or constraints associated with educational qualifications.
- How this class relates to other entities in the system (if applicable).
Example:
/** * Represents an educational qualification record in the HRMS system. * This class is used to store and manage information about an employee's educational background. * It is designed to be used with JPA for persistence and includes audit details for tracking changes. * * Note: The 'isActive' field determines whether this qualification record is currently valid for the employee. */ @Validated @EqualsAndHashCode(exclude = {"auditDetails"}) // ... (other annotations) public class EducationalQualification { // ... (existing code) }
27-46: 🛠️ Refactor suggestion
Consider refining the
yearOfPassing
andisActive
fields.The current implementation of fields is generally good, with appropriate use of
@NotNull
annotations for mandatory fields. However, consider the following suggestions:
The
yearOfPassing
field is currently of typeLong
. Consider usingInteger
instead, as it's unlikely that the year will exceed the range ofInteger
, and it would be more memory-efficient.The
isActive
field is of typeBoolean
, which allows for null values. Consider using the primitiveboolean
type instead to enforce a non-null state, unless a tri-state boolean is intentionally required.Here's a suggested refactor for these fields:
@NotNull -private Long yearOfPassing; +private Integer yearOfPassing; -private Boolean isActive; +private boolean isActive;📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.private String id; @NotNull private String qualification; @NotNull private String stream; @NotNull private Integer yearOfPassing; private String university; private String remarks; private String tenantId; private AuditDetails auditDetails; private boolean isActive;
health-services/plan-service/src/main/java/digit/web/models/hrms/Assignment.java (3)
34-36: 🛠️ Refactor suggestion
Consider using proper date types instead of Long for date fields.
The 'fromDate' and 'toDate' fields are currently of type Long. This approach can lead to confusion and potential errors in date handling. Consider using more appropriate date types such as java.time.LocalDate or java.time.Instant, which provide better date and time manipulation capabilities and are less error-prone.
Here's a suggested change:
- private Long fromDate; - private Long toDate; + private java.time.LocalDate fromDate; + private java.time.LocalDate toDate;Don't forget to update any related serialization/deserialization logic to handle the new date types correctly.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.private java.time.LocalDate fromDate; private java.time.LocalDate toDate;
51-51: 🧹 Nitpick (assertive)
Consider adding @NotNull to auditDetails if it's a required field.
The auditDetails field is correctly excluded from equals and hashCode calculations. However, if audit details are required for all Assignment instances, consider adding the @NotNull annotation to ensure this field is always populated.
If audit details are indeed required, apply this change:
- private AuditDetails auditDetails; + @NotNull + private AuditDetails auditDetails;📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@NotNull private AuditDetails auditDetails;
23-51: 🧹 Nitpick (assertive)
⚠️ Potential issueLGTM: Field declarations and annotations are generally well-structured.
The field declarations cover the necessary aspects of an assignment, and the use of @NotNull and @JsonProperty annotations is appropriate where applied.
Consider adding @NotNull to critical fields.
Some fields that seem critical for the Assignment entity are not marked as @NotNull. Consider adding this annotation to fields such as 'id', 'position', and 'tenantid' if they are indeed required for a valid Assignment.
Fix naming convention for 'tenantid' field.
The 'tenantid' field name is lowercase, which is inconsistent with Java naming conventions. Consider renaming it to 'tenantId' for better consistency and readability.
Apply this change:
- private String tenantid; + private String tenantId;📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.private String id; private Long position; @NotNull private String designation; @NotNull private String department; @NotNull private Long fromDate; private Long toDate; private String govtOrderNumber; private String tenantId; private String reportingTo; @JsonProperty("isHOD") private Boolean isHOD; @NotNull @JsonProperty("isCurrentAssignment") private Boolean isCurrentAssignment; private AuditDetails auditDetails;
health-services/plan-service/src/main/java/digit/web/models/hrms/Jurisdiction.java (3)
19-27: 🧹 Nitpick (assertive)
LGTM: Class-level annotations are well-chosen.
The use of Lombok annotations effectively reduces boilerplate code, improving maintainability. The @validated annotation is appropriate for enabling field validation. Good practice on excluding "auditDetails" from @EqualsAndHashCode.
Consider using the @DaTa annotation from Lombok instead of individual @getter, @Setter, @tostring, and @EqualsAndHashCode annotations for further code reduction. However, you'll need to keep the separate @EqualsAndHashCode annotation to maintain the exclusion of "auditDetails".
29-47: 🛠️ Refactor suggestion
Consider adding validation constraints to id and tenantId fields.
The validation constraints on hierarchy, boundary, and boundaryType fields are good. However, consider the following suggestions:
Add validation constraints to the
id
andtenantId
fields to ensure data integrity. For example, you might want to add @notblank or @SiZe annotations.For the
isActive
field, consider using the primitiveboolean
instead ofBoolean
if null values are not meaningful in this context. If null values are intentional, add a comment explaining the rationale.Example implementation:
@NotBlank @Size(max=64) private String id; // ... other fields ... @NotBlank @Size(max=64) private String tenantId; // If null is not meaningful private boolean isActive; // Or if null is intentional // private Boolean isActive; // null represents an unset state
1-49: 🧹 Nitpick (assertive)
Consider the broader implications of introducing the Jurisdiction class.
As this is a new class likely related to employee assignment in health campaign services:
- Ensure that this class is properly integrated with other parts of the system, particularly with employee and plan configuration entities.
- Update or create relevant documentation to reflect this new entity in the system architecture.
- Consider adding unit tests to verify the behavior of this class, especially around the validation constraints.
- Review any existing code that might need to be updated to use this new Jurisdiction class.
To verify the integration and usage of this new class:
#!/bin/bash # Search for potential usage or references to the Jurisdiction class rg --type java "Jurisdiction" ./health-services/plan-service/src/main/javaThis will help identify areas where the new Jurisdiction class is being used or where it might need to be integrated.
health-services/plan-service/src/main/java/digit/web/models/projectFactory/CampaignSearchCriteria.java (2)
25-50: 🧹 Nitpick (assertive)
LGTM: Fields and annotations are well-defined, with a minor suggestion.
The fields and their annotations are appropriate for their intended use. The
@JsonIgnore
annotations on several fields prevent them from being serialized/deserialized, which is useful for internal fields. The@Valid
annotation on thepagination
field ensures nested validation.Consider adding more specific validation constraints to the
startDate
andendDate
fields to ensure they contain valid date values. For example:@JsonIgnore @Min(value = 0, message = "Start date must be a positive integer") private Integer startDate; @JsonIgnore @Min(value = 0, message = "End date must be a positive integer") private Integer endDate;This would provide additional validation and improve the robustness of the class.
15-51: 🧹 Nitpick (assertive)
LGTM: Well-designed search criteria class with a suggestion for improvement.
The
CampaignSearchCriteria
class is well-designed for its intended use as a search criteria model. The use of Lombok annotations improves code readability and maintainability, while the mix of exposed and hidden fields allows for flexible API design.Consider adding more detailed JavaDoc comments to explain the purpose of each field, especially for the fields marked with
@JsonIgnore
. This would improve the class's documentation and make it easier for other developers to understand and use the class correctly. For example:/** * The status of the campaigns to search for. * This field is ignored during JSON serialization/deserialization. */ @JsonIgnore private List<String> status;health-services/plan-service/src/main/java/digit/web/models/PlanEmployeeAssignmentSearchCriteria.java (3)
14-22: 🧹 Nitpick (assertive)
LGTM: Class-level annotations and structure are appropriate.
The class is well-structured with proper annotations and follows Java naming conventions. The use of Lombok annotations helps reduce boilerplate code.
Consider enhancing the class-level JavaDoc comment to provide more details about the purpose and usage of this search criteria class. For example:
/** * PlanEmployeeAssignmentSearchCriteria * * This class represents the search criteria for querying employee assignments within a plan. * It encapsulates various parameters that can be used to filter and retrieve specific assignments. */
24-45: 🧹 Nitpick (assertive)
LGTM: Fields are well-defined with appropriate annotations.
All fields are correctly annotated with @JsonProperty and have appropriate constraints where necessary. The use of @SiZe, @NotNull, and @Valid annotations helps ensure data integrity.
Consider adding a size constraint to the
jurisdiction
list to prevent potential issues with extremely large lists. For example:@JsonProperty("jurisdiction") @Valid @Size(max = 100, message = "Jurisdiction list cannot exceed 100 items") private List<String> jurisdiction = null;This change would limit the number of jurisdictions that can be specified in a single search criteria, which could help prevent performance issues or potential abuse of the API.
1-46: 🧹 Nitpick (assertive)
LGTM: Well-structured and implemented search criteria class.
The
PlanEmployeeAssignmentSearchCriteria
class is well-designed and implemented. It follows Java best practices, uses appropriate annotations for validation and JSON mapping, and leverages Lombok to reduce boilerplate code.Consider adding a custom
toString()
method to provide a more informative string representation of the object, especially useful for logging purposes. You can use Lombok's@ToString
annotation with custom configuration:@ToString(exclude = "id", includeFieldNames = true) public class PlanEmployeeAssignmentSearchCriteria { // ... existing code ... }This will generate a
toString()
method that includes all fields exceptid
, which might be sensitive information you don't want to appear in logs.health-services/plan-service/src/main/java/digit/web/models/PlanEmployeeAssignmentDTO.java (2)
25-59: 🧹 Nitpick (assertive)
Field declarations and annotations look good, with a minor observation.
The field declarations and their annotations are well-structured:
- Consistent use of
@JsonProperty
for JSON serialization.- Appropriate validation constraints (
@NotNull
,@Size
) are applied to ensure data integrity.- The
id
field doesn't have constraints, which is fine if it's auto-generated.- The
active
field is correctly defined as a Boolean.However, there's one minor point to consider:
The
jurisdiction
field is annotated with@Valid
, which is typically used for complex objects. Since it's defined as a String, this annotation might not be necessary. Consider removing it ifjurisdiction
is indeed a simple String value.
1-60: 🛠️ Refactor suggestion
Overall structure is excellent, with suggestions for further improvements.
The
PlanEmployeeAssignmentDTO
class is well-structured and follows DTO design patterns effectively. It makes good use of annotations for validation and serialization, and achieves immutability through Lombok's@Data
annotation.Suggestions for potential improvements:
Consider creating a custom validation annotation for the
role
field if there are specific roles allowed. This would enhance type safety and prevent invalid roles from being assigned.Add Javadoc comments for the fields, especially for those that might not be immediately self-explanatory, such as
additionalDetails
. This would improve code documentation and make the purpose of each field clearer to other developers.Example:
/** * Additional details about the employee assignment. * This can include any extra information that doesn't fit into the standard fields. */ @JsonProperty("additionalDetails") private Object additionalDetails = null;health-services/plan-service/src/main/java/digit/web/models/PlanEmployeeAssignment.java (2)
15-23: 🧹 Nitpick (assertive)
Approve annotations, suggest improving Javadoc.
The use of Lombok annotations and
@Validated
is appropriate and helps reduce boilerplate while ensuring proper validation. However, the Javadoc comment could be more informative.Consider expanding the Javadoc comment to provide more details about the class's purpose, usage, and any important considerations. For example:
/** * Represents an employee assignment to a plan configuration in the health campaign service. * This class encapsulates details such as the employee's role, jurisdiction, and associated plan. * It supports validation of its fields and includes audit information. */
25-59: 🧹 Nitpick (assertive)
Approve field structure with suggestions for improvements.
The overall structure of the fields is well-defined with appropriate use of annotations for JSON mapping and validation. However, there are a few points to consider:
The
id
field lacks a@NotNull
annotation. If this is intentional (e.g., for auto-generated IDs), consider adding a comment explaining this.The
additionalDetails
field of type Object allows flexibility but might lead to type safety issues. Consider using a more specific type or a generic type likeMap<String, Object>
for better type safety.The
active
field is appropriately defined as a Boolean.The use of
AuditDetails
forauditDetails
is a good practice for maintaining audit information.Consider the following improvements:
@JsonProperty("id") @Size(max = 64) // Assuming max size should be consistent with other ID fields private String id; // ... @JsonProperty("additionalDetails") private Map<String, Object> additionalDetails;Also, consider adding a comment explaining the purpose of the
additionalDetails
field and how it should be used.health-services/plan-service/src/main/java/digit/web/models/hrms/EmployeeDocument.java (3)
28-40: 🧹 Nitpick (assertive)
LGTM: Class fields are well-defined and appropriate.
The fields adequately represent an employee document, with good use of the
EmployeeDocumentReferenceType
enum for type safety. The inclusion oftenantId
suggests multi-tenancy support, which is a good practice. UsingAuditDetails
for tracking creation and modification information is also commendable.Consider the following improvements:
- Add
@NotNull
annotations to required fields for enhanced validation.- Use
@Size
annotations for string fields to enforce length constraints.- Consider using a UUID for the
id
field instead of a String for better uniqueness guarantees.Example:
import javax.validation.constraints.NotNull; import javax.validation.constraints.Size; import java.util.UUID; public class EmployeeDocument { @NotNull private UUID id; @NotNull @Size(max = 255) private String documentName; // Apply similar annotations to other fields }
42-67: 🧹 Nitpick (assertive)
LGTM: Enum declaration and implementation are well-structured.
The
EmployeeDocumentReferenceType
enum provides a good way to constrain possible values for document reference types. The use of@JsonCreator
and@JsonValue
annotations for JSON serialization/deserialization is correct.Consider improving the
fromValue
method for better performance and to handle invalid inputs:
- Use a
Map
for O(1) lookup instead of iterating through all values.- Use
Optional
to handle null cases more elegantly.- Consider throwing an
IllegalArgumentException
for invalid inputs instead of returning null.Here's an example implementation:
import java.util.Map; import java.util.Optional; import java.util.stream.Collectors; import java.util.stream.Stream; public enum EmployeeDocumentReferenceType { // ... existing enum constants ... private static final Map<String, EmployeeDocumentReferenceType> VALUE_MAP = Stream.of(values()) .collect(Collectors.toMap(EmployeeDocumentReferenceType::getValue, e -> e)); @JsonCreator public static EmployeeDocumentReferenceType fromValue(String passedValue) { return Optional.ofNullable(passedValue) .map(String::toUpperCase) .map(VALUE_MAP::get) .orElseThrow(() -> new IllegalArgumentException("Invalid EmployeeDocumentReferenceType: " + passedValue)); } // ... rest of the enum implementation ... }This implementation provides better performance, more explicit error handling, and is null-safe.
18-26: 🧹 Nitpick (assertive)
LGTM: Class declaration and Lombok annotations are well-structured.
The use of Lombok annotations reduces boilerplate code, improving maintainability. Excluding
auditDetails
fromequals
andhashCode
is a good practice for audit fields. The@Validated
annotation ensures bean validation will be used, which is excellent for data integrity.Consider adding the
@Data
annotation instead of individual@Getter
,@Setter
,@ToString
, and@EqualsAndHashCode
annotations for further code reduction:-@EqualsAndHashCode(exclude = { "auditDetails" }) -@Getter -@Setter -@ToString +@Data(exclude = { "auditDetails" })📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@Validated @Data(exclude = { "auditDetails" }) @AllArgsConstructor @NoArgsConstructor @Builder public class EmployeeDocument {
health-services/plan-service/src/main/java/digit/service/enrichment/PlanEmployeeAssignmentEnricher.java (2)
13-28: 🧹 Nitpick (assertive)
LGTM:
enrichCreate
method is well-implemented.The
enrichCreate
method correctly enriches thePlanEmployeeAssignmentRequest
with a new UUID and audit details. The use of utility methods for UUID generation and audit details preparation demonstrates good separation of concerns.Consider adding a null check for
planEmployeeAssignment
at the beginning of the method to prevent potentialNullPointerException
:public void enrichCreate(PlanEmployeeAssignmentRequest request) { if (request == null || request.getPlanEmployeeAssignment() == null) { throw new IllegalArgumentException("Request or PlanEmployeeAssignment cannot be null"); } PlanEmployeeAssignment planEmployeeAssignment = request.getPlanEmployeeAssignment(); // ... rest of the method }
30-42: 🧹 Nitpick (assertive)
LGTM:
enrichUpdate
method is correctly implemented.The
enrichUpdate
method appropriately enriches thePlanEmployeeAssignmentRequest
with updated audit details for an update operation. The use ofBoolean.FALSE
inprepareAuditDetails
correctly indicates this is not a creation operation.For consistency with the
enrichCreate
method, consider adding a null check at the beginning of this method as well:public void enrichUpdate(PlanEmployeeAssignmentRequest request) { if (request == null || request.getPlanEmployeeAssignment() == null) { throw new IllegalArgumentException("Request or PlanEmployeeAssignment cannot be null"); } PlanEmployeeAssignment planEmployeeAssignment = request.getPlanEmployeeAssignment(); // ... rest of the method }health-services/plan-service/src/main/java/digit/config/Configuration.java (4)
34-39: 🧹 Nitpick (assertive)
LGTM! Consider adding Javadoc comments.
The addition of HRMS configuration properties is well-implemented and consistent with the existing code style. The use of
@Value
annotation for property injection is correct.Consider adding Javadoc comments to describe the purpose of these new fields:
/** * The host URL for the HRMS service. */ @Value("${egov.hrms.host}") private String hrmsHost; /** * The endpoint for searching HRMS data. */ @Value("${egov.hrms.search.endpoint}") private String hrmsEndPoint;
41-46: 🧹 Nitpick (assertive)
LGTM! Consider adding Javadoc comments.
The addition of Project Factory configuration properties is well-implemented and consistent with the existing code style. The use of
@Value
annotation for property injection is correct.Consider adding Javadoc comments to describe the purpose of these new fields:
/** * The host URL for the Project Factory service. */ @Value("${egov.project.factory.host}") private String projectFactoryHost; /** * The endpoint for searching Project Factory data. */ @Value("${egov.project.factory.search.endpoint}") private String projectFactorySearchEndPoint;
55-57: 🧹 Nitpick (assertive)
LGTM! Consider adding a Javadoc comment.
The addition of the
planEmployeeAssignmentCreateTopic
property is well-implemented and consistent with the existing code style. The use of@Value
annotation for property injection is correct.Consider adding a Javadoc comment to describe the purpose of this new field:
/** * The Kafka topic for creating employee assignments in the plan. */ @Value("${plan.employee.assignment.create.topic}") private String planEmployeeAssignmentCreateTopic;
58-60: 🧹 Nitpick (assertive)
LGTM! Consider adding a Javadoc comment.
The addition of the
planEmployeeAssignmentUpdateTopic
property is well-implemented and consistent with the existing code style. The use of@Value
annotation for property injection is correct.Consider adding a Javadoc comment to describe the purpose of this new field:
/** * The Kafka topic for updating employee assignments in the plan. */ @Value("${plan.employee.assignment.update.topic}") private String planEmployeeAssignmentUpdateTopic;health-services/plan-service/src/main/java/digit/web/models/projectFactory/CampaignDetail.java (2)
23-84: 🧹 Nitpick (assertive)
LGTM: Well-structured field declarations with appropriate annotations.
The field declarations and their annotations are well-organized and follow best practices:
- Consistent use of @JsonProperty for JSON mapping.
- @NotNull on tenantId ensures this required field is not null.
- @Valid annotations on complex objects and collections enable nested validation.
Consider adding more validation constraints to ensure data integrity:
- Add @SiZe constraints for String fields like id, tenantId, campaignNumber, etc.
- Use @notblank instead of @NotNull for String fields that shouldn't be empty.
- Add @past or @FutureOrPresent for date fields (startDate and endDate) to ensure logical date values.
Example:
@NotBlank @Size(max = 64) @JsonProperty("tenantId") private String tenantId; @FutureOrPresent @JsonProperty("startDate") private Long startDate;
1-87: 🧹 Nitpick (assertive)
Overall structure is clean, with a minor suggestion for improvement.
The CampaignDetail class is well-structured and follows the single responsibility principle. It effectively represents a campaign with various attributes and associated entities.
Consider replacing the Object type for additionalDetails with a more specific type or a generic type parameter to improve type safety:
public class CampaignDetail<T> { // ... other fields ... @JsonProperty("additionalDetails") @Valid private T additionalDetails; // ... rest of the class ... }This change would allow users of the class to specify the type of additionalDetails, improving type safety while maintaining flexibility.
health-services/plan-service/src/main/java/digit/util/CampaignUtil.java (1)
27-54: 🛠️ Refactor suggestion
Suggested improvements for
fetchCampaignData
andgetSearchReq
methods.While the methods implement the required functionality, there are a few areas for improvement:
In
fetchCampaignData
:
- The use of StringBuilder is unnecessary for a single append operation. Consider using string concatenation or String.format().
- The
campaignResponse
variable is initialized unnecessarily before the try block.- Exception handling could be more specific to provide better error information.
In
getSearchReq
:
- Consider adding null checks for input parameters.
Here's a suggested refactoring for the
fetchCampaignData
method:public CampaignResponse fetchCampaignData(RequestInfo requestInfo, String campaignId, String tenantId) { - StringBuilder uri = new StringBuilder(); - uri = uri.append(configs.getProjectFactoryHost()).append(configs.getProjectFactorySearchEndPoint()); + String uri = configs.getProjectFactoryHost() + configs.getProjectFactorySearchEndPoint(); CampaignSearchReq campaignSearchReq = getSearchReq(requestInfo, campaignId, tenantId); - CampaignResponse campaignResponse = new CampaignResponse(); try { - campaignResponse = restTemplate.postForObject(uri.toString(), campaignSearchReq, CampaignResponse.class); + return restTemplate.postForObject(uri, campaignSearchReq, CampaignResponse.class); } catch (Exception e) { - log.error(ERROR_WHILE_FETCHING_FROM_PROJECT_FACTORY, e); + log.error("Error while fetching campaign data for campaignId: {} and tenantId: {}", campaignId, tenantId, e); + throw new RuntimeException("Failed to fetch campaign data", e); } - - return campaignResponse; }For the
getSearchReq
method, consider adding null checks:private CampaignSearchReq getSearchReq(RequestInfo requestInfo, String campaignId, String tenantId) { + if (requestInfo == null || campaignId == null || tenantId == null) { + throw new IllegalArgumentException("RequestInfo, campaignId, and tenantId must not be null"); + } Pagination pagination = Pagination.builder().limit(configs.getDefaultLimit()).offset(configs.getDefaultOffset()).build(); CampaignSearchCriteria searchCriteria = CampaignSearchCriteria.builder() .ids(Collections.singletonList(campaignId)) .tenantId(tenantId) .pagination(pagination) .build(); return CampaignSearchReq.builder() .requestInfo(requestInfo) .campaignSearchCriteria(searchCriteria) .build(); }These changes will improve error handling, remove unnecessary code, and add input validation.
Committable suggestion was skipped due to low confidence.
health-services/plan-service/src/main/java/digit/util/HrmsUtil.java (2)
38-59: 🛠️ Refactor suggestion
Enhance error handling, logging, and URI construction in fetchHrmsData method.
While the method implements the core functionality correctly, there are a few areas where it can be improved:
Error handling: The current implementation catches all exceptions and logs them, but it still returns an empty
EmployeeResponse
. Consider throwing a custom exception or returning anOptional<EmployeeResponse>
to better indicate the failure to the caller.Logging: Add more detailed logging, including input parameters and the constructed URI for better traceability.
URI construction: Replace StringBuilder with UriComponentsBuilder for improved readability and safety in handling query parameters.
Here's a suggested refactoring of the method:
public Optional<EmployeeResponse> fetchHrmsData(RequestInfo requestInfo, String employeeId, String tenantId) { log.debug("Fetching HRMS data for employeeId: {}, tenantId: {}", employeeId, tenantId); UriComponentsBuilder uriBuilder = UriComponentsBuilder.fromHttpUrl(configs.getHrmsHost()) .path(configs.getHrmsEndPoint()) .queryParam("limit", configs.getDefaultLimit()) .queryParam("tenantId", tenantId) .queryParam("offset", configs.getDefaultOffset()) .queryParam("ids", employeeId); RequestInfoWrapper requestInfoWrapper = RequestInfoWrapper.builder().requestInfo(requestInfo).build(); try { EmployeeResponse response = restTemplate.postForObject( uriBuilder.toUriString(), requestInfoWrapper, EmployeeResponse.class ); log.debug("Successfully fetched HRMS data for employeeId: {}", employeeId); return Optional.ofNullable(response); } catch (Exception e) { log.error("Error while fetching data from HRMS for employeeId: {}", employeeId, e); return Optional.empty(); } }This refactoring improves error handling, adds more detailed logging, and uses UriComponentsBuilder for safer URI construction. The method now returns an
Optional<EmployeeResponse>
, allowing the caller to handle the case where fetching data fails more explicitly.
17-29: 🧹 Nitpick (assertive)
LGTM: Class structure follows best practices. Consider adding @requiredargsconstructor.
The class structure is well-designed with appropriate annotations and constructor-based dependency injection. To further improve the code, consider using Lombok's
@RequiredArgsConstructor
annotation to automatically generate the constructor for final fields.You can simplify the code by applying this change:
@Slf4j @Component +@RequiredArgsConstructor public class HrmsUtil { - private RestTemplate restTemplate; - private Configuration configs; + private final RestTemplate restTemplate; + private final Configuration configs; - public HrmsUtil(RestTemplate restTemplate, Configuration configs) { - this.restTemplate = restTemplate; - this.configs = configs; - }Don't forget to add the import for
@RequiredArgsConstructor
fromlombok
.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.@Slf4j @Component @RequiredArgsConstructor public class HrmsUtil { private final RestTemplate restTemplate; private final Configuration configs; }
health-services/plan-service/src/main/java/digit/web/models/hrms/Employee.java (2)
40-41: 🧹 Nitpick (assertive)
Validation annotations are well-applied, with a suggestion for improvement.
The use of @SiZe, @NotNull, and @Valid annotations throughout the class helps ensure data integrity and consistency. The constraints appear reasonable for each field, and the use of @Valid on nested objects ensures thorough validation.
Consider adding a @NotNull annotation to the
isActive
field:+ @NotNull private Boolean isActive;
This ensures that the active status of an employee is always explicitly set, preventing potential null pointer exceptions and improving data consistency.
Also applies to: 43-44, 46-47, 51-54, 57-60, 63-64, 69-71, 73-75, 77-79, 81-83, 85-86, 94-96
36-96: 🧹 Nitpick (assertive)
Field declarations are well-structured, with a minor suggestion.
The field declarations appropriately capture employee attributes with proper validation annotations. The initialization of list fields with empty ArrayLists is a good practice to prevent null pointer exceptions.
Consider using
Collections.emptyList()
instead ofnew ArrayList<>()
for initializing the list fields. This approach is more memory-efficient and clearly communicates the intent of an empty, unmodifiable list. For example:- private List<Jurisdiction> jurisdictions = new ArrayList<>(); + private List<Jurisdiction> jurisdictions = Collections.emptyList();Apply this change to all list field initializations in the class.
Committable suggestion was skipped due to low confidence.
health-services/plan-service/src/main/resources/application.properties (3)
61-61: 🧹 Nitpick (assertive)
Consider using a placeholder for the HRMS host URL.
The new property
egov.hrms.host
is correctly added. However, hardcoding a development URL in the main configuration file may not be suitable for all environments.Consider using a placeholder or environment variable for the URL:
egov.hrms.host=${EGOV_HRMS_HOST:https://unified-dev.digit.org}
This allows for easy configuration across different environments.
65-65: 🧹 Nitpick (assertive)
Consider using a placeholder for the project factory host URL.
The new property
egov.project.factory.host
is correctly added. However, as with the HRMS host, hardcoding a development URL in the main configuration file may not be suitable for all environments.Consider using a placeholder or environment variable for the URL:
egov.project.factory.host=${EGOV_PROJECT_FACTORY_HOST:https://unified-dev.digit.org}
This allows for easy configuration across different environments.
52-66: 🧹 Nitpick (assertive)
Consider adding comments for the new configuration sections.
The new properties for employee assignments, HRMS, and project factory integrations are well-structured and consistent with the existing configuration. To improve maintainability and clarity, consider adding comments explaining the purpose of these new configuration sections.
For example:
# Employee Assignment Kafka Topics plan.employee.assignment.create.topic=plan-employee-assignment-create-topic plan.employee.assignment.update.topic=plan-employee-assignment-update-topic # HRMS Integration Configuration egov.hrms.host=${EGOV_HRMS_HOST:https://unified-dev.digit.org} egov.hrms.search.endpoint=/health-hrms/employees/_search # Project Factory Integration Configuration egov.project.factory.host=${EGOV_PROJECT_FACTORY_HOST:https://unified-dev.digit.org} egov.project.factory.search.endpoint=/project-factory/v1/project-type/searchThese comments provide context for each group of related properties, making the configuration file more readable and easier to maintain.
health-services/plan-service/src/main/java/digit/web/controllers/PlanEmployeeController.java (4)
26-37: 🧹 Nitpick (assertive)
Create endpoint is well-implemented, but consider adding error handling.
The
employeeCreatePost
method is properly annotated and documented. It correctly uses the@Valid
annotation for request body validation and returns an appropriate HTTP status (ACCEPTED) for a create operation.Consider adding error handling to manage potential exceptions from the service layer. For example:
try { PlanEmployeeAssignmentResponse response = planEmployeeService.create(body); return ResponseEntity.status(HttpStatus.ACCEPTED).body(response); } catch (SomeSpecificException e) { return ResponseEntity.status(HttpStatus.BAD_REQUEST).body(new ErrorResponse(e.getMessage())); } catch (Exception e) { return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR).body(new ErrorResponse("An unexpected error occurred")); }This will provide more informative responses to the client in case of errors.
39-49: 🧹 Nitpick (assertive)
Search endpoint is well-implemented, but consider adding pagination.
The
employeeSearchPost
method is properly annotated and documented. It correctly uses the@Valid
annotation for request body validation and returns an appropriate HTTP status (OK) for a search operation.Consider implementing pagination for the search results to improve performance and usability, especially when dealing with large datasets. You could modify the method signature and response as follows:
public ResponseEntity<Page<PlanEmployeeAssignmentResponse>> employeeSearchPost( @Valid @RequestBody PlanEmployeeAssignmentSearchRequest body, @RequestParam(defaultValue = "0") int page, @RequestParam(defaultValue = "20") int size) { Page<PlanEmployeeAssignmentResponse> response = planEmployeeService.search(body, PageRequest.of(page, size)); return ResponseEntity.ok(response); }This change would require updating the service layer to support pagination as well.
51-61: 🧹 Nitpick (assertive)
Update endpoint is well-implemented, but consider using PUT method.
The
employeeUpdatePost
method is properly annotated and documented. It correctly uses the@Valid
annotation for request body validation and returns an appropriate HTTP status (ACCEPTED) for an update operation.Consider using the HTTP PUT method instead of POST for update operations, as it more accurately represents the intent of the operation according to RESTful principles. You can modify the method as follows:
@RequestMapping(value = "/employee/{id}", method = RequestMethod.PUT) public ResponseEntity<PlanEmployeeAssignmentResponse> employeeUpdate( @PathVariable String id, @Valid @RequestBody PlanEmployeeAssignmentRequest body) { body.setId(id); // Ensure the ID in the path matches the one in the body PlanEmployeeAssignmentResponse response = planEmployeeService.update(body); return ResponseEntity.status(HttpStatus.ACCEPTED).body(response); }This change would make the API more RESTful and clearly distinguish between create and update operations.
1-62: 🧹 Nitpick (assertive)
Overall, the PlanEmployeeController is well-implemented with room for minor improvements.
The controller provides a solid foundation for managing employee assignments in a plan. It follows Spring MVC conventions and demonstrates good use of dependency injection, input validation, and appropriate HTTP status codes.
To further enhance the controller, consider the following suggestions:
- Implement consistent error handling across all endpoints, possibly using a global exception handler.
- Add pagination to the search endpoint to improve performance with large datasets.
- Use PUT method for the update endpoint to align with RESTful principles.
- Consider adding logging throughout the controller for better observability and debugging.
- Implement rate limiting or request throttling to protect the API from abuse.
These improvements will make the API more robust, scalable, and adherent to RESTful best practices.
health-services/plan-service/src/main/java/digit/repository/querybuilder/PlanEmployeeAssignmentQueryBuilder.java (2)
23-36: 🧹 Nitpick (assertive)
Consider adding input validation for searchCriteria.
The method structure looks good, properly utilizing the buildPlanEmployeeAssignmentQuery method and adding order by and pagination clauses. However, it's recommended to add input validation for the searchCriteria parameter to ensure it's not null before proceeding with query construction.
Consider adding a null check at the beginning of the method:
public String getPlanEmployeeAssignmentQuery(PlanEmployeeAssignmentSearchCriteria searchCriteria, List<Object> preparedStmtList) { if (searchCriteria == null) { throw new IllegalArgumentException("searchCriteria cannot be null"); } // ... rest of the method }
1-81: 🧹 Nitpick (assertive)
Approve overall implementation with suggestions for improvement.
The class is well-structured, follows good coding practices, and adheres to the Single Responsibility Principle. Here are some suggestions for further improvement:
Consider using Java 8 Optional for nullable fields in the search criteria to make null checks more explicit and reduce the risk of null pointer exceptions.
Enhance JavaDoc comments, especially for the public
getPlanEmployeeAssignmentQuery
method, to include more details about the return value and possible exceptions.For complex queries, consider implementing a builder pattern to make query construction more flexible and readable.
Example of using Optional and enhanced JavaDoc:
/** * Constructs a SQL query string for searching PlanEmployeeAssignment objects based on the provided search criteria. * Also adds an ORDER BY clause and handles pagination. * * @param searchCriteria The criteria used for filtering PlanEmployeeAssignment objects. Must not be null. * @param preparedStmtList A list to store prepared statement parameters. Must not be null. * @return A complete SQL query string for searching PlanEmployeeAssignment objects. * @throws IllegalArgumentException if searchCriteria or preparedStmtList is null. */ public String getPlanEmployeeAssignmentQuery(PlanEmployeeAssignmentSearchCriteria searchCriteria, List<Object> preparedStmtList) { Objects.requireNonNull(searchCriteria, "searchCriteria must not be null"); Objects.requireNonNull(preparedStmtList, "preparedStmtList must not be null"); String query = buildPlanEmployeeAssignmentQuery(searchCriteria, preparedStmtList); query = queryUtil.addOrderByClause(query, PLAN_EMPLOYEE_ASSIGNMENT_SEARCH_QUERY_ORDER_BY_CLAUSE); return queryUtil.getPaginatedQuery(query, preparedStmtList); } private String buildPlanEmployeeAssignmentQuery(PlanEmployeeAssignmentSearchCriteria searchCriteria, List<Object> preparedStmtList) { StringBuilder builder = new StringBuilder(PLAN_EMPLOYEE_ASSIGNMENT_SEARCH_BASE_QUERY); Optional.ofNullable(searchCriteria.getId()).ifPresent(id -> { queryUtil.addClauseIfRequired(builder, preparedStmtList); builder.append(" id = ?"); preparedStmtList.add(id); }); // ... similar changes for other criteria }health-services/plan-service/src/main/java/digit/util/QueryUtil.java (3)
139-151: 🧹 Nitpick (assertive)
LGTM with suggestion: getPaginatedQuery method implementation.
The
getPaginatedQuery
method correctly implements pagination by appending OFFSET and LIMIT clauses to the query. It efficiently uses StringBuilder and properly adds values to the prepared statement list.However, consider handling cases where the input query might already contain ORDER BY, OFFSET, or LIMIT clauses to prevent duplicate or conflicting clauses.
Consider adding a check for existing ORDER BY, OFFSET, or LIMIT clauses before appending new ones. For example:
public String getPaginatedQuery(String query, List<Object> preparedStmtList) { StringBuilder paginatedQuery = new StringBuilder(query.trim()); if (!query.toLowerCase().contains("offset") && !query.toLowerCase().contains("limit")) { // Append offset paginatedQuery.append(" OFFSET ? "); preparedStmtList.add(config.getDefaultOffset()); // Append limit paginatedQuery.append(" LIMIT ? "); preparedStmtList.add(config.getDefaultLimit()); } return paginatedQuery.toString(); }This change ensures that pagination is only added if it's not already present in the query.
21-23: 🛠️ Refactor suggestion
Consider adding a null check for the Configuration object.
While the dependency injection for the Configuration object improves flexibility, it's good practice to add a null check to prevent potential NullPointerExceptions.
Consider adding a null check in the constructor:
public QueryUtil(Configuration config) { if (config == null) { throw new IllegalArgumentException("Configuration cannot be null"); } this.config = config; }This ensures that the Configuration object is always present and can help catch configuration issues early.
21-23:
⚠️ Potential issueConsider changing the constructor access modifier to public.
The constructor is currently declared as private, which may prevent Spring from properly managing this bean. Since the class is annotated with
@Component
, it should have a public constructor for dependency injection to work correctly.Consider changing the constructor to:
- private QueryUtil(Configuration config) { + public QueryUtil(Configuration config) { this.config = config; }📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.public QueryUtil(Configuration config) { this.config = config; }
health-services/plan-service/src/main/java/digit/repository/impl/PlanEmployeeAssignmentImpl.java (4)
52-56:
⚠️ Potential issueConsider adding error handling for Kafka producer.
The
create
method looks good overall, but it lacks error handling. If the Kafka producer fails to push the message, this method will silently fail.Consider wrapping the Kafka push in a try-catch block and handle potential exceptions. For example:
try { producer.push(config.getPlanEmployeeAssignmentCreateTopic(), requestDTO); } catch (KafkaException e) { // Log the error log.error("Failed to push plan employee assignment to Kafka", e); // Rethrow as a custom exception or handle appropriately throw new PlanEmployeeAssignmentCreationException("Failed to create plan employee assignment", e); }This will ensure that any issues with the Kafka push are properly logged and handled.
64-76: 🛠️ Refactor suggestion
Consider optimizing jurisdiction filtering in the database query.
The
search
method is well-structured, but the jurisdiction filtering is done in-memory after fetching all results. This could be inefficient for large result sets.Consider moving the jurisdiction filtering to the database query itself. This can be done by modifying the
PlanEmployeeAssignmentQueryBuilder
to include jurisdiction filtering in the SQL query when the search criteria include jurisdictions. For example:if (!CollectionUtils.isEmpty(searchCriteria.getJurisdiction())) { searchQuery += " AND jurisdiction IN (:jurisdictions)"; preparedStmtList.add(searchCriteria.getJurisdiction()); }This approach would reduce the amount of data transferred from the database and improve performance, especially for large datasets.
83-87:
⚠️ Potential issueApply error handling suggestion to update method as well.
The
update
method has the same structure as thecreate
method and would benefit from the same error handling improvement.Please refer to the comment on the
create
method and apply similar error handling here for consistency and robustness.
96-109: 🛠️ Refactor suggestion
Simplify stream operation in filterByJurisdiction method.
The
filterByJurisdiction
method is well-structured, but the stream operation can be simplified for better readability and potentially improved performance.Consider refactoring the stream operation as follows:
return planEmployeeAssignments.stream() .filter(assignment -> assignment.getJurisdiction().stream() .anyMatch(jurisdictionSet::contains)) .collect(Collectors.toList());This change eliminates the need for the explicit loop and makes the intention clearer. It uses the
anyMatch
method to check if any jurisdiction in the assignment matches the set of jurisdictions from the search criteria.health-services/plan-service/src/main/java/digit/service/PlanValidator.java (1)
170-172: 🧹 Nitpick (assertive)
LGTM: Updated plan configuration existence validation.
The changes to
validatePlanConfigurationExistence
method look good:
- The search functionality has been delegated to
CommonUtil.searchPlanConfigId
, which is a good practice for encapsulating complex operations.- The condition check has been correctly updated to work with the new search method.
Consider reformatting the condition check for better readability:
- if(!ObjectUtils.isEmpty(request.getPlan().getPlanConfigurationId()) && - CollectionUtils.isEmpty(commonUtil.searchPlanConfigId(request.getPlan().getPlanConfigurationId(), request.getPlan().getTenantId()))) - { + if (!ObjectUtils.isEmpty(request.getPlan().getPlanConfigurationId()) + && CollectionUtils.isEmpty(commonUtil.searchPlanConfigId( + request.getPlan().getPlanConfigurationId(), + request.getPlan().getTenantId()))) {📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (!ObjectUtils.isEmpty(request.getPlan().getPlanConfigurationId()) && CollectionUtils.isEmpty(commonUtil.searchPlanConfigId( request.getPlan().getPlanConfigurationId(), request.getPlan().getTenantId()))) {
health-services/plan-service/src/main/java/digit/repository/rowmapper/PlanEmployeeAssignmentRowMapper.java (5)
40-40: 🧹 Nitpick (assertive)
Enhance readability of
AuditDetails
builderThe current single-line
AuditDetails
builder statement is lengthy and could be hard to read. Splitting it into multiple lines improves readability and maintenance.Apply this diff to format the builder pattern:
-AuditDetails auditDetails = AuditDetails.builder().createdBy(rs.getString("created_by")).createdTime(rs.getLong("created_time")).lastModifiedBy(rs.getString("last_modified_by")).lastModifiedTime(rs.getLong("last_modified_time")).build(); +AuditDetails auditDetails = AuditDetails.builder() + .createdBy(rs.getString("created_by")) + .createdTime(rs.getLong("created_time")) + .lastModifiedBy(rs.getString("last_modified_by")) + .lastModifiedTime(rs.getLong("last_modified_time")) + .build();📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.AuditDetails auditDetails = AuditDetails.builder() .createdBy(rs.getString("created_by")) .createdTime(rs.getLong("created_time")) .lastModifiedBy(rs.getString("last_modified_by")) .lastModifiedTime(rs.getLong("last_modified_time")) .build();
21-21: 🧹 Nitpick (assertive)
Declare
commonUtil
asfinal
Since
commonUtil
is injected via the constructor and should not change after initialization, consider declaring it asfinal
to enforce immutability.Apply this diff to declare
commonUtil
asfinal
:-private CommonUtil commonUtil; +private final CommonUtil commonUtil;📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.private final CommonUtil commonUtil;
54-54:
⚠️ Potential issueCheck for
null
inadditional_details
before castingWhen retrieving
additional_details
from theResultSet
, if the value isnull
, casting it toPGobject
may lead to aNullPointerException
. It's safer to check if the object is notnull
before proceeding.Apply this diff to handle potential
null
values:-planEmployeeAssignment.setAdditionalDetails(commonUtil.getAdditionalDetail((PGobject) rs.getObject("additional_details"))); +Object additionalDetailsObj = rs.getObject("additional_details"); +if (additionalDetailsObj != null) { + planEmployeeAssignment.setAdditionalDetails(commonUtil.getAdditionalDetail((PGobject) additionalDetailsObj)); +} else { + planEmployeeAssignment.setAdditionalDetails(null); +}📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.Object additionalDetailsObj = rs.getObject("additional_details"); if (additionalDetailsObj != null) { planEmployeeAssignment.setAdditionalDetails(commonUtil.getAdditionalDetail((PGobject) additionalDetailsObj)); } else { planEmployeeAssignment.setAdditionalDetails(null); }
17-17: 🧹 Nitpick (assertive)
Remove unused
@Slf4j
annotationThe
@Slf4j
annotation introduces a logger into the class, but there is no usage of thelog
object within this class. Consider removing the@Slf4j
annotation and its corresponding import to keep the code clean.Apply this diff to remove the annotation and import:
-@Slf4j @Component public class PlanEmployeeAssignmentRowMapper implements ResultSetExtractor<List<PlanEmployeeAssignment>> {
And remove the unused import:
-import lombok.extern.slf4j.Slf4j;
Committable suggestion was skipped due to low confidence.
43-44:
⚠️ Potential issueHandle potential
null
or emptyjurisdiction
valueIf
jurisdiction
isnull
or empty, callingsplit
will result in aNullPointerException
or unintended behavior. It's advisable to check fornull
or empty strings before splitting and handle the case accordingly. Additionally, adjusting the split pattern can account for inconsistent spacing.Apply this diff to safely handle
jurisdiction
:String jurisdiction = rs.getString("jurisdiction"); -List<String> jurisdictionList = Arrays.asList(jurisdiction.split(", ")); +List<String> jurisdictionList = new ArrayList<>(); +if (jurisdiction != null && !jurisdiction.isEmpty()) { + jurisdictionList = Arrays.asList(jurisdiction.split("\\s*,\\s*")); +}Make sure to import
java.util.ArrayList
if it's not already imported.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.String jurisdiction = rs.getString("jurisdiction"); List<String> jurisdictionList = new ArrayList<>(); if (jurisdiction != null && !jurisdiction.isEmpty()) { jurisdictionList = Arrays.asList(jurisdiction.split("\\s*,\\s*")); }
health-services/plan-service/src/main/java/digit/service/PlanEmployeeService.java (3)
18-28: 🛠️ Refactor suggestion
Add access modifiers to class fields
The class fields
producer
,config
,responseInfoFactory
,repository
,enricher
, andvalidator
do not have explicit access modifiers and default to package-private access. For better encapsulation and adherence to best practices, consider declaring them asprivate
.Apply the following changes:
- Producer producer; - Configuration config; - ResponseInfoFactory responseInfoFactory; - PlanEmployeeAssignmentRepository repository; - PlanEmployeeAssignmentEnricher enricher; - PlanEmployeeAssignmentValidator validator; + private Producer producer; + private Configuration config; + private ResponseInfoFactory responseInfoFactory; + private PlanEmployeeAssignmentRepository repository; + private PlanEmployeeAssignmentEnricher enricher; + private PlanEmployeeAssignmentValidator validator;📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.private Producer producer; private Configuration config; private ResponseInfoFactory responseInfoFactory; private PlanEmployeeAssignmentRepository repository; private PlanEmployeeAssignmentEnricher enricher; private PlanEmployeeAssignmentValidator validator;
57-61: 🧹 Nitpick (assertive)
Typographical error in method documentation
In the
search
method's documentation, there is a grammatical error in the@return
description. It should read "A list of plan employee assignments that match the search criteria" instead of "matches".Apply the following change:
- * @return A list of plan employee assignments that matches the search criteria. + * @return A list of plan employee assignments that match the search criteria.📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.* Searches for plan employee assignment based on the provided search criteria. * * @param request The search request containing the criteria. * @return A list of plan employee assignments that match the search criteria. */
82-85:
⚠️ Potential issueInconsistent use of ResponseInfoFactory and ResponseInfoUtil
In the
create
andsearch
methods, you are usingresponseInfoFactory.createResponseInfoFromRequestInfo
, but in theupdate
method, you are usingResponseInfoUtil.createResponseInfoFromRequestInfo
. This inconsistency may lead to unexpected behavior or confusion. It's recommended to useresponseInfoFactory.createResponseInfoFromRequestInfo
in theupdate
method as well to maintain consistency.Apply the following change:
.responseInfo( - ResponseInfoUtil.createResponseInfoFromRequestInfo(request.getRequestInfo(), Boolean.TRUE)) + responseInfoFactory.createResponseInfoFromRequestInfo(request.getRequestInfo(), Boolean.TRUE))📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.return PlanEmployeeAssignmentResponse.builder() .responseInfo(responseInfoFactory.createResponseInfoFromRequestInfo(request.getRequestInfo(), Boolean.TRUE)) .planEmployeeAssignment(Collections.singletonList(request.getPlanEmployeeAssignment())) .build();
health-services/plan-service/src/main/java/digit/service/validator/PlanEmployeeAssignmentValidator.java (9)
26-205: 🛠️ Refactor suggestion
Consider adding unit tests for
PlanEmployeeAssignmentValidator
To ensure the robustness of validation logic, it's important to have comprehensive unit tests covering various scenarios, including edge cases and invalid inputs.
Would you like assistance in generating unit tests for this class?
100-105:
⚠️ Potential issueAdd null check for
jurisdiction
inPlanEmployeeAssignment
Before iterating over
planEmployeeAssignment.getJurisdiction()
, ensure it is notnull
to preventNullPointerException
.Apply this diff to add the null check:
+ if (CollectionUtils.isEmpty(planEmployeeAssignment.getJurisdiction())) { + throw new CustomException("INVALID_JURISDICTION", "Jurisdiction cannot be null or empty"); + } planEmployeeAssignment.getJurisdiction().stream() .forEach(jurisdiction -> { if (!boundaryCode.contains(jurisdiction)) { throw new CustomException(INVALID_EMPLOYEE_JURISDICTION_CODE, INVALID_EMPLOYEE_JURISDICTION_MESSAGE); } });📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.if (CollectionUtils.isEmpty(planEmployeeAssignment.getJurisdiction())) { throw new CustomException("INVALID_JURISDICTION", "Jurisdiction cannot be null or empty"); } planEmployeeAssignment.getJurisdiction().stream() .forEach(jurisdiction -> { if (!boundaryCode.contains(jurisdiction)) { throw new CustomException(INVALID_EMPLOYEE_JURISDICTION_CODE, INVALID_EMPLOYEE_JURISDICTION_MESSAGE); } });
171-172:
⚠️ Potential issueAdd null check for
PlanEmployeeAssignment
invalidateUpdate
methodSimilar to the create validation,
request.getPlanEmployeeAssignment()
might returnnull
. Adding a null check prevents potentialNullPointerException
.Apply this diff to add the null check:
PlanEmployeeAssignment planEmployeeAssignment = request.getPlanEmployeeAssignment(); + if (planEmployeeAssignment == null) { + throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); + } String rootTenantId = centralInstanceUtil.getStateLevelTenant(planEmployeeAssignment.getTenantId());📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.PlanEmployeeAssignment planEmployeeAssignment = request.getPlanEmployeeAssignment(); if (planEmployeeAssignment == null) { throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); } String rootTenantId = centralInstanceUtil.getStateLevelTenant(planEmployeeAssignment.getTenantId());
53-54:
⚠️ Potential issueAdd null check for
PlanEmployeeAssignment
invalidateCreate
methodThere is a possibility that
request.getPlanEmployeeAssignment()
could returnnull
, leading to aNullPointerException
when calling methods on it. Consider adding a null check forplanEmployeeAssignment
after it's retrieved from the request.Apply this diff to add the null check:
PlanEmployeeAssignment planEmployeeAssignment = request.getPlanEmployeeAssignment(); + if (planEmployeeAssignment == null) { + throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); + } String rootTenantId = centralInstanceUtil.getStateLevelTenant(planEmployeeAssignment.getTenantId());📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.PlanEmployeeAssignment planEmployeeAssignment = request.getPlanEmployeeAssignment(); if (planEmployeeAssignment == null) { throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); } String rootTenantId = centralInstanceUtil.getStateLevelTenant(planEmployeeAssignment.getTenantId());
94-99:
⚠️ Potential issueAdd null checks for
campaignDetail
and its boundaries invalidateEmployeeJurisdiction
Before processing
campaignDetail.getBoundaries()
, ensure thatcampaignDetail
and its boundaries are notnull
to prevent potentialNullPointerException
.Apply this diff to add the null checks:
private void validateEmployeeJurisdiction(CampaignDetail campaignDetail, PlanEmployeeAssignment planEmployeeAssignment) { + if (campaignDetail == null || CollectionUtils.isEmpty(campaignDetail.getBoundaries())) { + throw new CustomException("INVALID_CAMPAIGN_DETAIL", "Campaign detail or boundaries cannot be null or empty"); + } // Collect all boundary codes for the campaign Set<String> boundaryCode = campaignDetail.getBoundaries().stream() .map(Boundary::getCode) .collect(Collectors.toSet());📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.private void validateEmployeeJurisdiction(CampaignDetail campaignDetail, PlanEmployeeAssignment planEmployeeAssignment) { if (campaignDetail == null || CollectionUtils.isEmpty(campaignDetail.getBoundaries())) { throw new CustomException("INVALID_CAMPAIGN_DETAIL", "Campaign detail or boundaries cannot be null or empty"); } // Collect all boundary code for the campaign Set<String> boundaryCode = campaignDetail.getBoundaries().stream() .map(Boundary::getCode) .collect(Collectors.toSet());
129-134:
⚠️ Potential issueAdd null check for
employeeResponse
invalidateEmployeeAgainstHRMS
After fetching
EmployeeResponse
, ensure it is notnull
before accessinggetEmployees()
to prevent a potentialNullPointerException
.Apply this diff to add the null check:
EmployeeResponse employeeResponse = hrmsUtil.fetchHrmsData(request.getRequestInfo(), planEmployeeAssignment.getEmployeeId(), planEmployeeAssignment.getTenantId()); + if (employeeResponse == null || CollectionUtils.isEmpty(employeeResponse.getEmployees())) { log.error(NO_HRMS_DATA_FOUND_FOR_GIVEN_EMPLOYEE_ID_MESSAGE + " - " + planEmployeeAssignment.getEmployeeId()); throw new CustomException(NO_HRMS_DATA_FOUND_FOR_GIVEN_EMPLOYEE_ID_CODE, NO_HRMS_DATA_FOUND_FOR_GIVEN_EMPLOYEE_ID_MESSAGE); }
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.EmployeeResponse employeeResponse = hrmsUtil.fetchHrmsData(request.getRequestInfo(), planEmployeeAssignment.getEmployeeId(), planEmployeeAssignment.getTenantId()); if (employeeResponse == null || CollectionUtils.isEmpty(employeeResponse.getEmployees())) { log.error(NO_HRMS_DATA_FOUND_FOR_GIVEN_EMPLOYEE_ID_MESSAGE + " - " + planEmployeeAssignment.getEmployeeId()); throw new CustomException(NO_HRMS_DATA_FOUND_FOR_GIVEN_EMPLOYEE_ID_CODE, NO_HRMS_DATA_FOUND_FOR_GIVEN_EMPLOYEE_ID_MESSAGE); }
77-78:
⚠️ Potential issueAdd null check for
PlanEmployeeAssignment
invalidateCampaignDetails
method
planEmployeeAssignmentRequest.getPlanEmployeeAssignment()
might returnnull
. Adding a null check forplanEmployeeAssignment
ensures that subsequent method calls do not lead to aNullPointerException
.Apply this diff to add the null check:
PlanEmployeeAssignment planEmployeeAssignment = planEmployeeAssignmentRequest.getPlanEmployeeAssignment(); + if (planEmployeeAssignment == null) { + throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); + } CampaignResponse campaignResponse = campaignUtil.fetchCampaignData(planEmployeeAssignmentRequest.getRequestInfo(), campaignId, tenantId);📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.PlanEmployeeAssignment planEmployeeAssignment = planEmployeeAssignmentRequest.getPlanEmployeeAssignment(); if (planEmployeeAssignment == null) { throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); } CampaignResponse campaignResponse = campaignUtil.fetchCampaignData(planEmployeeAssignmentRequest.getRequestInfo(), campaignId, tenantId);
197-200:
⚠️ Potential issueHandle potential
NullPointerException
when accessingplanEmployeeAssignment.getId()
Ensure that
planEmployeeAssignment.getId()
is notnull
before using it in the search criteria.Apply this diff to add the null check:
List<PlanEmployeeAssignment> planEmployeeAssignments = repository.search(PlanEmployeeAssignmentSearchCriteria.builder() + .id(Objects.requireNonNull(planEmployeeAssignment.getId(), "PlanEmployeeAssignment ID cannot be null")) .build());
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.List<PlanEmployeeAssignment> planEmployeeAssignments = repository.search(PlanEmployeeAssignmentSearchCriteria.builder() .id(Objects.requireNonNull(planEmployeeAssignment.getId(), "PlanEmployeeAssignment ID cannot be null")) .build());
195-204:
⚠️ Potential issueAdd null check for
PlanEmployeeAssignment
invalidatePlanEmployeeAssignment
Before accessing
planEmployeeAssignment.getId()
, ensure thatplanEmployeeAssignment
is notnull
to avoid aNullPointerException
.Apply this diff to add the null check:
private void validatePlanEmployeeAssignment(PlanEmployeeAssignment planEmployeeAssignment) { + if (planEmployeeAssignment == null) { + throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); + } // Validates the existence of plan employee assignment List<PlanEmployeeAssignment> planEmployeeAssignments = repository.search(PlanEmployeeAssignmentSearchCriteria.builder() .id(planEmployeeAssignment.getId()) .build());📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.private void validatePlanEmployeeAssignment(PlanEmployeeAssignment planEmployeeAssignment) { if (planEmployeeAssignment == null) { throw new CustomException("INVALID_REQUEST", "PlanEmployeeAssignment cannot be null"); } // Validates the existence of plan employee assignment List<PlanEmployeeAssignment> planEmployeeAssignments = repository.search(PlanEmployeeAssignmentSearchCriteria.builder() .id(planEmployeeAssignment.getId()) .build()); if(CollectionUtils.isEmpty(planEmployeeAssignments)) { throw new CustomException(INVALID_PLAN_EMPLOYEE_ASSIGNMENT_ID_CODE, INVALID_PLAN_EMPLOYEE_ASSIGNMENT_ID_MESSAGE); } }
health-services/plan-service/src/main/java/digit/util/CommonUtil.java (4)
81-88: 🛠️ Refactor suggestion
Consider Renaming Method for Clarity
The method
searchPlanConfigId
returns a list ofPlanConfiguration
objects based on the providedplanConfigId
andtenantId
. The current method name may be misleading, as it suggests searching for a plan configuration ID rather than searching by plan configuration ID.Consider renaming the method to
searchPlanConfigurationsById
orgetPlanConfigurationsById
to more accurately reflect its functionality.
96-116:
⚠️ Potential issueAdd Null Checks to Prevent Potential NullPointerExceptions
In the
convertToReqDTO
method, consider adding null checks for the following objects:
planEmployeeAssignmentRequest
planEmployeeAssignmentRequest.getPlanEmployeeAssignment()
planEmployeeAssignment.getJurisdiction()
This will prevent potential
NullPointerException
scenarios.Example:
if (planEmployeeAssignmentRequest == null || planEmployeeAssignmentRequest.getPlanEmployeeAssignment() == null) { throw new IllegalArgumentException("PlanEmployeeAssignmentRequest or PlanEmployeeAssignment cannot be null"); } PlanEmployeeAssignment planEmployeeAssignment = planEmployeeAssignmentRequest.getPlanEmployeeAssignment(); List<String> jurisdictionList = planEmployeeAssignment.getJurisdiction(); if (jurisdictionList == null) { jurisdictionList = Collections.emptyList(); }
124-126:
⚠️ Potential issueHandle Null Inputs in
convertArrayToString
MethodThe
convertArrayToString
method does not handle null inputs forstringList
. IfstringList
is null,String.join
will throw aNullPointerException
.Consider adding a null check or returning an empty string when
stringList
is null:private String convertArrayToString(List<String> stringList) { if (stringList == null || stringList.isEmpty()) { return ""; } return String.join(", ", stringList); }
134-145:
⚠️ Potential issueEnsure Proper Null Checks in
getAdditionalDetail
MethodIn the
getAdditionalDetail
method, the current null check may not handle all cases wherepGobject
or its value is null. UsingObjectUtils.isEmpty(pGobject)
might not account forpGobject.getValue()
being null.Consider updating the condition to explicitly check both
pGobject
andpGobject.getValue()
:if (pGobject != null && pGobject.getValue() != null) { additionalDetail = objectMapper.readTree(pGobject.getValue()); }This ensures that both the object and its value are not null before attempting to parse, preventing potential exceptions.
JIRA Tickets:
Summary by CodeRabbit
New Features
Bug Fixes
Refactor
PlanRowMapper
class by centralizing additional details processing within a utility class.