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@nitish-egov nitish-egov commented May 28, 2025

Summary by CodeRabbit

  • New Features
    • Improved performance for project creation and parent project retrieval by introducing caching for project hierarchy data.
  • Enhancements
    • Faster repeated access to project hierarchy information through optimized data retrieval.
    • Added Redis caching to project ID validation for quicker validation processes.
    • Added logging to indicate cache usage and operations.

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coderabbitai bot commented May 28, 2025

Walkthrough

Redis caching was integrated into the ProjectService class to optimize storage and retrieval of project hierarchy data. During project creation, hierarchies are cached in Redis. When retrieving parent projects, the service first checks Redis for cached hierarchies before querying the database, updating the cache as needed. Logging was added for cache operations. Similarly, Redis caching was added to PfProjectIdValidator and PsProjectIdValidator to improve project ID validation by checking Redis before querying the database.

Changes

File(s) Change Summary
health-services/project/src/main/java/org/egov/project/service/ProjectService.java Added Redis caching for project hierarchy during creation and parent retrieval; updated internal logic and logging; constructor updated to inject RedisTemplate.
health-services/project/src/main/java/org/egov/project/validator/facility/PfProjectIdValidator.java, health-services/project/src/main/java/org/egov/project/validator/staff/PsProjectIdValidator.java Enhanced project ID validators to check Redis cache before database validation; updated constructors to inject RedisTemplate and added error handling for Redis operations.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant ProjectService
    participant Redis
    participant Database
    participant Kafka

    Client->>ProjectService: createProject(ProjectRequest)
    ProjectService->>ProjectService: Validate and enrich request
    ProjectService->>Kafka: Push project request
    loop For each project
        ProjectService->>Redis: Cache projectHierarchy with TTL
        Redis-->>ProjectService: Acknowledge caching
    end
    ProjectService-->>Client: Return result
Loading
sequenceDiagram
    participant Client
    participant ProjectService
    participant Redis
    participant Database

    Client->>ProjectService: getParentProjects(ProjectRequest)
    ProjectService->>Redis: Fetch parent projectHierarchies
    alt Hierarchy found in Redis
        Redis-->>ProjectService: Return cached hierarchy
    else Hierarchy not in Redis
        Redis-->>ProjectService: Return miss
        ProjectService->>Database: Query for missing parents
        Database-->>ProjectService: Return parent projects
        ProjectService->>Redis: Cache fetched hierarchies
    end
    ProjectService-->>Client: Return combined parent projects
Loading
sequenceDiagram
    participant Validator
    participant Redis
    participant Database

    Validator->>Redis: Check project ID keys
    alt IDs found in Redis
        Redis-->>Validator: Return valid IDs
    else Some IDs missing or Redis error
        Validator->>Database: Validate missing IDs
        Database-->>Validator: Return valid IDs
    end
    Validator-->>Caller: Return combined valid project IDs
Loading

Suggested reviewers

  • sathishp-eGov
  • kavi-egov

Poem

In the warren of code, a cache now appears,
Redis hops in, reducing our fears.
Hierarchies stored, both fresh and anew,
Parent or child, retrieval is true.
With logs for our trail, and speed in our paws,
This bunny’s delighted—let’s give it applause!
🐇✨

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Actionable comments posted: 4

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 796021c and 8707f29.

📒 Files selected for processing (1)
  • health-services/project/src/main/java/org/egov/project/service/ProjectService.java (5 hunks)
🔇 Additional comments (2)
health-services/project/src/main/java/org/egov/project/service/ProjectService.java (2)

4-5: LGTM! Appropriate imports for Redis caching functionality.

The new imports correctly support the Redis caching implementation with Duration for TTL management and Collections for empty list handling.

Also applies to: 24-24


54-65: LGTM! Constructor follows good dependency injection practices.

The constructor properly injects dependencies and inline ObjectMapper initialization is appropriate for a stateless utility.

Comment on lines 329 to 386
/* Search for parent projects based on "parent" field and returns parent projects */
private List<Project> getParentProjects(ProjectRequest projectRequest) {
List<Project> parentProjects = new ArrayList<>();

List<Project> projectsWithParent = projectRequest.getProjects().stream()
.filter(p -> StringUtils.isNotBlank(p.getParent()))
.collect(Collectors.toList());

if (projectsWithParent.isEmpty()) {
return Collections.emptyList();
}

List<String> missingParentIds = new ArrayList<>();

for (Project project : projectsWithParent) {
String parentId = project.getParent();
String redisKey = "project-create-cache-" + parentId;

String cachedHierarchy = redisTemplate.opsForValue().get(redisKey);
if (StringUtils.isNotBlank(cachedHierarchy)) {
log.info("Parent project hierarchy for {} fetched from Redis", parentId);

Project parent = new Project();
parent.setId(parentId);
parent.setProjectHierarchy(cachedHierarchy);
parentProjects.add(parent);
} else {
missingParentIds.add(parentId);
}
}

if (!missingParentIds.isEmpty()) {
List<Project> dbQueryProjects = missingParentIds.stream()
.map(id -> Project.builder().id(id)
.tenantId(projectRequest.getProjects().get(0).getTenantId()).build())
.collect(Collectors.toList());

ProjectRequest searchRequest = getSearchProjectRequest(dbQueryProjects,
projectRequest.getRequestInfo(), false);

List<Project> dbProjects = searchProject(
searchRequest,
projectConfiguration.getMaxLimit(),
projectConfiguration.getDefaultOffset(),
searchRequest.getProjects().get(0).getTenantId(),
null, false, false, false, null, null, false
);

for (Project parent : dbProjects) {
String redisKey = "project-create-cache-" + parent.getId();
redisTemplate.opsForValue().set(redisKey, parent.getProjectHierarchy(), Duration.ofDays(1));
parentProjects.add(parent);
}

}

return parentProjects;
}
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🛠️ Refactor suggestion

⚠️ Potential issue

Add error handling and consider refactoring for better maintainability.

The caching logic is well-designed but needs resilience and could be more maintainable.

Critical Issue: Add error handling for Redis operations

      String cachedHierarchy = redisTemplate.opsForValue().get(redisKey);

Should be wrapped in try-catch to handle Redis failures gracefully:

+     try {
        String cachedHierarchy = redisTemplate.opsForValue().get(redisKey);
        if (StringUtils.isNotBlank(cachedHierarchy)) {
          log.info("Parent project hierarchy for {} fetched from Redis", parentId);
          // ... existing logic
        } else {
          missingParentIds.add(parentId);
        }
+     } catch (Exception e) {
+       log.warn("Failed to fetch from Redis for parent {}: {}", parentId, e.getMessage());
+       missingParentIds.add(parentId);
+     }

Refactoring Suggestion: Break down the method

Consider extracting helper methods:

  • fetchFromCache(List<String> parentIds)
  • fetchFromDatabase(List<String> missingIds, ProjectRequest request)
  • cacheProjects(List<Project> projects)

This would improve readability and testability.

📝 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.

Suggested change
/* Search for parent projects based on "parent" field and returns parent projects */
private List<Project> getParentProjects(ProjectRequest projectRequest) {
List<Project> parentProjects = new ArrayList<>();
List<Project> projectsWithParent = projectRequest.getProjects().stream()
.filter(p -> StringUtils.isNotBlank(p.getParent()))
.collect(Collectors.toList());
if (projectsWithParent.isEmpty()) {
return Collections.emptyList();
}
List<String> missingParentIds = new ArrayList<>();
for (Project project : projectsWithParent) {
String parentId = project.getParent();
String redisKey = "project-create-cache-" + parentId;
String cachedHierarchy = redisTemplate.opsForValue().get(redisKey);
if (StringUtils.isNotBlank(cachedHierarchy)) {
log.info("Parent project hierarchy for {} fetched from Redis", parentId);
Project parent = new Project();
parent.setId(parentId);
parent.setProjectHierarchy(cachedHierarchy);
parentProjects.add(parent);
} else {
missingParentIds.add(parentId);
}
}
if (!missingParentIds.isEmpty()) {
List<Project> dbQueryProjects = missingParentIds.stream()
.map(id -> Project.builder().id(id)
.tenantId(projectRequest.getProjects().get(0).getTenantId()).build())
.collect(Collectors.toList());
ProjectRequest searchRequest = getSearchProjectRequest(dbQueryProjects,
projectRequest.getRequestInfo(), false);
List<Project> dbProjects = searchProject(
searchRequest,
projectConfiguration.getMaxLimit(),
projectConfiguration.getDefaultOffset(),
searchRequest.getProjects().get(0).getTenantId(),
null, false, false, false, null, null, false
);
for (Project parent : dbProjects) {
String redisKey = "project-create-cache-" + parent.getId();
redisTemplate.opsForValue().set(redisKey, parent.getProjectHierarchy(), Duration.ofDays(1));
parentProjects.add(parent);
}
}
return parentProjects;
}
/* Search for parent projects based on "parent" field and returns parent projects */
private List<Project> getParentProjects(ProjectRequest projectRequest) {
List<Project> parentProjects = new ArrayList<>();
List<Project> projectsWithParent = projectRequest.getProjects().stream()
.filter(p -> StringUtils.isNotBlank(p.getParent()))
.collect(Collectors.toList());
if (projectsWithParent.isEmpty()) {
return Collections.emptyList();
}
List<String> missingParentIds = new ArrayList<>();
for (Project project : projectsWithParent) {
String parentId = project.getParent();
String redisKey = "project-create-cache-" + parentId;
+ try {
String cachedHierarchy = redisTemplate.opsForValue().get(redisKey);
if (StringUtils.isNotBlank(cachedHierarchy)) {
log.info("Parent project hierarchy for {} fetched from Redis", parentId);
Project parent = new Project();
parent.setId(parentId);
parent.setProjectHierarchy(cachedHierarchy);
parentProjects.add(parent);
} else {
missingParentIds.add(parentId);
}
+ } catch (Exception e) {
+ log.warn("Failed to fetch from Redis for parent {}: {}", parentId, e.getMessage());
+ missingParentIds.add(parentId);
+ }
}
if (!missingParentIds.isEmpty()) {
List<Project> dbQueryProjects = missingParentIds.stream()
.map(id -> Project.builder().id(id)
.tenantId(projectRequest.getProjects().get(0).getTenantId()).build())
.collect(Collectors.toList());
ProjectRequest searchRequest = getSearchProjectRequest(dbQueryProjects,
projectRequest.getRequestInfo(), false);
List<Project> dbProjects = searchProject(
searchRequest,
projectConfiguration.getMaxLimit(),
projectConfiguration.getDefaultOffset(),
searchRequest.getProjects().get(0).getTenantId(),
null, false, false, false, null, null, false
);
for (Project parent : dbProjects) {
String redisKey = "project-create-cache-" + parent.getId();
redisTemplate.opsForValue().set(redisKey, parent.getProjectHierarchy(), Duration.ofDays(1));
parentProjects.add(parent);
}
}
return parentProjects;
}
🤖 Prompt for AI Agents
In
health-services/project/src/main/java/org/egov/project/service/ProjectService.java
between lines 329 and 386, add try-catch blocks around all Redis operations to
handle potential Redis failures gracefully without crashing the method. Refactor
the existing getParentProjects method by extracting three helper methods:
fetchFromCache to retrieve parent projects from Redis cache given a list of
parent IDs, fetchFromDatabase to query missing parent projects from the database
using the ProjectRequest, and cacheProjects to store retrieved projects back
into Redis with appropriate expiration. Replace the corresponding code blocks in
getParentProjects with calls to these helper methods to improve readability,
maintainability, and testability.

# Conflicts:
#	health-services/project/src/main/java/org/egov/project/service/ProjectService.java
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Actionable comments posted: 3

♻️ Duplicate comments (4)
health-services/project/src/main/java/org/egov/project/validator/facility/PfProjectIdValidator.java (1)

63-63: 🧹 Nitpick (assertive)

Use a shared constant for Redis key pattern.

Similar to PsProjectIdValidator, the Redis key pattern should be extracted as a constant. Consider defining it in a shared constants class to ensure consistency.

health-services/project/src/main/java/org/egov/project/service/ProjectService.java (3)

50-51: 🛠️ Refactor suggestion

Use constructor injection instead of field injection for RedisTemplate.

Field injection makes testing harder and hides dependencies. Constructor injection is the preferred approach.


88-103: 🛠️ Refactor suggestion

Consider implementing cache invalidation for data consistency.

The caching implementation is robust with proper error handling. However, cached data may become stale when projects are updated.


333-400: 🧹 Nitpick (assertive)

Refactor getParentProjects method for better maintainability.

The method is complex and handles multiple responsibilities. Breaking it down would improve readability and testability.

Consider extracting these helper methods:

private Map<String, String> fetchFromCache(List<String> parentIds) {
    Map<String, String> cachedHierarchies = new HashMap<>();
    List<String> missingIds = new ArrayList<>();
    
    for (String parentId : parentIds) {
        String redisKey = PROJECT_CACHE_KEY_PREFIX + parentId;
        try {
            String hierarchy = redisTemplate.opsForValue().get(redisKey);
            if (StringUtils.isNotBlank(hierarchy)) {
                cachedHierarchies.put(parentId, hierarchy);
            } else {
                missingIds.add(parentId);
            }
        } catch (Exception ex) {
            log.error("Redis error for parent {}: {}", parentId, ex.getMessage());
            missingIds.add(parentId);
        }
    }
    return cachedHierarchies;
}

private void cacheProjects(List<Project> projects) {
    for (Project project : projects) {
        String redisKey = PROJECT_CACHE_KEY_PREFIX + project.getId();
        try {
            redisTemplate.opsForValue().set(redisKey, 
                project.getProjectHierarchy(), Duration.ofDays(1));
        } catch (Exception ex) {
            log.error("Failed to cache project {}: {}", 
                project.getId(), ex.getMessage());
        }
    }
}
📜 Review details

Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 8707f29 and f4671e1.

📒 Files selected for processing (3)
  • health-services/project/src/main/java/org/egov/project/service/ProjectService.java (5 hunks)
  • health-services/project/src/main/java/org/egov/project/validator/facility/PfProjectIdValidator.java (3 hunks)
  • health-services/project/src/main/java/org/egov/project/validator/staff/PsProjectIdValidator.java (3 hunks)
🔇 Additional comments (1)
health-services/project/src/main/java/org/egov/project/validator/staff/PsProjectIdValidator.java (1)

55-76: Well-implemented Redis caching with proper error handling!

The caching logic is properly implemented with:

  • Graceful fallback to database on Redis failures
  • Clear separation between cache hits and misses
  • Appropriate logging for debugging

List<String> cacheMissIds = new ArrayList<>();

for (String id : entityIds) {
String redisKey = "project-create-cache-" + id;
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🧹 Nitpick (assertive)

Extract Redis key pattern as a constant for better maintainability.

The Redis key pattern is hardcoded. Consider extracting it as a constant to maintain consistency across the codebase.

Add a constant at the class level:

 public class PsProjectIdValidator implements Validator<ProjectStaffBulkRequest, ProjectStaff> {
 
+    private static final String PROJECT_CACHE_KEY_PREFIX = "project-create-cache-";
     private final ProjectRepository projectRepository;
     private final RedisTemplate<String,String> redisTemplate;

Then update line 59:

-                String redisKey = "project-create-cache-" + id;
+                String redisKey = PROJECT_CACHE_KEY_PREFIX + id;
📝 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.

Suggested change
String redisKey = "project-create-cache-" + id;
public class PsProjectIdValidator implements Validator<ProjectStaffBulkRequest, ProjectStaff> {
private static final String PROJECT_CACHE_KEY_PREFIX = "project-create-cache-";
private final ProjectRepository projectRepository;
private final RedisTemplate<String, String> redisTemplate;
// existing constructors and methods...
@Override
public void validate(ProjectStaffBulkRequest request, Errors errors) {
String id = request.getStaff().get(0).getId();
- String redisKey = "project-create-cache-" + id;
+ String redisKey = PROJECT_CACHE_KEY_PREFIX + id;
// existing caching logic...
}
}
🤖 Prompt for AI Agents
In
health-services/project/src/main/java/org/egov/project/validator/staff/PsProjectIdValidator.java
at line 59, the Redis key pattern is hardcoded as a string literal. Extract this
pattern into a private static final constant at the class level to improve
maintainability and consistency. Replace the hardcoded string on line 59 with
this constant concatenated with the variable id.

Comment on lines +59 to +79
List<String> existingProjectIds = new ArrayList<>();
List<String> cacheMissIds = new ArrayList<>();

for (String id : entityIds) {
String redisKey = "project-create-cache-" + id;
try {
if (Boolean.TRUE.equals(redisTemplate.hasKey(redisKey))) {
existingProjectIds.add(id);
} else {
cacheMissIds.add(id);
}
} catch (Exception ex) {
log.error("Redis error while checking key: {}", redisKey, ex);
cacheMissIds.add(id); // safely fallback to DB
}
}
if (!cacheMissIds.isEmpty()) {
List<String> dbValidIds = projectRepository.validateIds(cacheMissIds,
getIdFieldName(idMethod));
List<ProjectFacility> invalidEntities = validEntities.stream().filter(notHavingErrors()).filter(entity ->
existingProjectIds.addAll(dbValidIds);
}
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🧹 Nitpick (assertive)

Consider extracting common Redis caching logic.

The Redis caching logic here is nearly identical to PsProjectIdValidator. Consider creating a shared utility class or base validator to reduce code duplication.

Example approach:

  1. Create a RedisProjectCacheUtil class with methods like getCachedProjectIds() and cacheProjectIds()
  2. Or create an abstract base validator class with the common caching logic
  3. This would ensure consistent caching behavior and make maintenance easier
🤖 Prompt for AI Agents
In
health-services/project/src/main/java/org/egov/project/validator/facility/PfProjectIdValidator.java
around lines 59 to 79, the Redis caching logic is duplicated and similar to that
in PsProjectIdValidator. To fix this, extract the common Redis caching code into
a shared utility class such as RedisProjectCacheUtil with methods like
getCachedProjectIds() and cacheProjectIds(), or create an abstract base
validator class encapsulating this logic. Then refactor both validators to use
this shared code, reducing duplication and improving maintainability.

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Actionable comments posted: 1

♻️ Duplicate comments (2)
health-services/project/src/main/java/org/egov/project/service/ProjectService.java (2)

88-88: Remove the emoji comment.

This comment doesn't add value and should be replaced with a more descriptive comment.


333-400: 🛠️ Refactor suggestion

Consider cache invalidation strategy and method refactoring.

The cache-first approach is well-implemented with proper error handling and fallback to database queries. However, there are architectural considerations to address:

  1. Cache invalidation: As noted in previous reviews, this caching strategy lacks invalidation when projects are updated, which could lead to stale data.

  2. Method complexity: The method handles multiple concerns (cache lookup, database queries, cache population) which could benefit from extraction into smaller, focused methods.

The current implementation is functional but could be improved for maintainability and data consistency.

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between f4671e1 and 6a1470b.

📒 Files selected for processing (1)
  • health-services/project/src/main/java/org/egov/project/service/ProjectService.java (5 hunks)
🔇 Additional comments (6)
health-services/project/src/main/java/org/egov/project/service/ProjectService.java (6)

4-5: LGTM! Clean import additions.

The new imports for Duration and Collections are appropriately added and necessary for the Redis caching implementation.


24-24: LGTM! Appropriate RedisTemplate import.

The RedisTemplate import is correctly added for the caching functionality.


50-51: LGTM! Proper field declaration with constructor injection.

The RedisTemplate field is correctly declared as final and is injected via constructor, following best practices for dependency injection.


53-65: LGTM! Constructor injection properly implemented.

The constructor correctly includes the RedisTemplate parameter and assigns it to the field, following dependency injection best practices.


89-103: LGTM! Well-implemented caching with proper error handling.

The caching logic is well-structured with:

  • Proper validation of projectHierarchy before caching
  • Comprehensive error handling with try-catch blocks
  • Appropriate logging for both success and failure cases
  • Reasonable TTL of 1 day

The implementation handles Redis failures gracefully without disrupting the main project creation flow.


370-396: LGTM! Efficient fallback mechanism with cache population.

The fallback logic for missing cache entries is well-implemented:

  • Efficiently groups missing parent IDs for batch database query
  • Properly constructs search request with required fields
  • Includes error handling for cache population
  • Maintains consistency between cached and database-fetched projects

This ensures optimal performance while maintaining data integrity.

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