Feature/microadd #418
Feature/microadd #418
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…er-config Hlm 6191 hlm 6217 transformer config
Create boundary-persister.yml
… Admin console changes Create project-factory-persister.yml
…hanges updated timestamp field for project and project staff indexer
Update MasterDashboardConfig.json :: Removed additional unnecessary tabs from DSS Dashboard
… request #410 from egovernments/jagankumar-egov-patch-1 Update MasterDashboardConfig.json for kibana poc demo
Update ChartApiConfig.json- Fix for householdsVisited Lat Long Chart
Updated as per the 3132 changes
updated as per 3138 changes
updated as project
Update project-factory-persister.yml
Update project-persister.yml
WalkthroughThis pull request introduces significant changes to the configuration files across multiple services in the eGov platform. The modifications primarily focus on indexer and persister configurations, with numerous files being added, updated, or removed. The changes reflect enhancements in data tracking, auditing capabilities, and service mappings across various domains such as household management, individual services, facility management, and plan services. The updates aim to improve data integrity, provide more comprehensive audit trails, and streamline the data persistence and indexing processes. Changes
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Actionable comments posted: 8
🔭 Outside diff range comments (2)
egov-persister/individual-persister.yml (1)
Critical: Password and user data storage needs to be handled by user-service
Based on the verification results, there are significant security concerns:
- The individual table directly stores sensitive user authentication data (password, roles) without any apparent hashing or encryption.
- While there is a reference to "user-service" in the configuration (
update-user-id-topic), the current implementation bypasses it by storing user credentials directly in the individual table.Recommendations:
- Remove password and roles columns from the individual table
- Delegate user authentication data storage to the dedicated user-service
- Store only userId and userUuid as reference fields in the individual table
- Update the persister configuration to remove userDetails mapping
🔗 Analysis chain
Line range hint
36-79: Verify password handling in database operationsThe individual table schema now includes sensitive user information (password, roles).
- Ensure passwords are properly hashed before storage
- Consider storing user authentication details in a separate table for better security isolation
Let me gather more information about the user service integration.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Check for any plain text password handling rg -A 3 "password.*=.*\?" --type yaml rg -A 3 "password.*:.*plaintext" --type yaml # Check if there's a separate user service that should handle these fields fd -e yaml -e yml | xargs grep -l "user-service"Length of output: 895
Script:
#!/bin/bash # Check for user service related configurations and endpoints rg -A 5 "user-service|user/v1" --type yaml # Check for any password hashing or encryption related configurations rg -A 5 "hash|encrypt|bcrypt|password" --type yaml # Look for any user-related schema definitions fd schema.sql | xargs grep -A 10 "CREATE TABLE.*user"Length of output: 4144
egov-persister/household-persister.yml (1)
Line range hint
69-84: Consider adding optimistic locking for concurrent updates.The update query should include version checking to prevent lost updates in concurrent scenarios.
Consider modifying the query to include version check:
-UPDATE HOUSEHOLD SET tenantId = ?, clientReferenceId = ?, numberOfMembers = ?, addressId = ?, additionalDetails = ?, lastModifiedBy = ?, lastModifiedTime = ?, rowVersion = ?, isDeleted = ?, clientLastModifiedTime = ?, clientLastModifiedBy = ? WHERE ID = ?; +UPDATE HOUSEHOLD SET tenantId = ?, clientReferenceId = ?, numberOfMembers = ?, addressId = ?, additionalDetails = ?, lastModifiedBy = ?, lastModifiedTime = ?, rowVersion = rowVersion + 1, isDeleted = ?, clientLastModifiedTime = ?, clientLastModifiedBy = ? WHERE ID = ? AND rowVersion = ?;
🧹 Nitpick comments (18)
egov-indexer/stock-indexer.yml (2)
21-21: Review timestamp redundancy and format consistencyThe field mappings include multiple timestamp-related fields that might be redundant:
clientCreatedTimecreatedTimesyncedTimeStamp@timestampsyncedDateAdditionally, ensure that:
- The
@timestampfield follows the required Elasticsearch timestamp format- The distinction between
syncedTimeStampandsyncedDateis clear and necessaryConsider consolidating timestamp fields to reduce redundancy while maintaining necessary tracking information.
Also applies to: 27-51
Line range hint
1-67: Consider standardizing index configurationsThe configuration shows different approaches across indexes:
- Different document structures (flat vs nested)
- Inconsistent timestamp field handling
- Varying levels of field mapping detail
Consider:
- Documenting the purpose and format of each timestamp field
- Standardizing the document structure across related indexes
- Creating a consistent approach to audit field mappings
- Adding configuration comments to explain index-specific requirements
Would you like me to help create a template for standardizing these configurations?
egov-indexer/project-staff-indexer.yml (1)
18-18: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
timeStampField: $.auditDetails.lastModifiedTime +🧰 Tools
🪛 yamllint (1.35.1)
[error] 18-18: no new line character at the end of file
(new-line-at-end-of-file)
egov-indexer/facility-indexer.yml (1)
22-22: Add newline at end of fileAdd a newline character at the end of the file to comply with POSIX standards.
timeStampField: $.auditDetails.lastModifiedTime +🧰 Tools
🪛 yamllint (1.35.1)
[error] 22-22: no new line character at the end of file
(new-line-at-end-of-file)
egov-indexer/census-service-indexer.yml (1)
1-18: Consider consolidating duplicate configurations.The three topics share identical index configurations except for the
isBulkflag. Consider using YAML anchors and aliases to reduce duplication and maintain consistency.Example refactor:
ServiceMaps: serviceName: census-service version: 1.0.0 mappings: - &base-config configKey: INDEX indexes: - &base-index name: census-index-v1 type: general id: $.id timeStampField: $.auditDetails.createdTime jsonPath: $.Census customJsonMapping: &base-mapping indexMapping: {"Data":{}} fieldMapping: - inJsonPath: $ outJsonPath: $.Data - topic: census-create-topic <<: *base-config indexes: - <<: *base-index customJsonMapping: *base-mapping - topic: census-update-topic <<: *base-config indexes: - <<: *base-index customJsonMapping: *base-mapping - topic: census-bulk-update-topic <<: *base-config indexes: - <<: *base-index isBulk: true customJsonMapping: *base-mappingAlso applies to: 19-32, 33-46
egov-persister/mdms-persister.yml (1)
83-83: Add newline at end of fileMinor: Add a newline character at the end of the file to comply with POSIX standards.
🧰 Tools
🪛 yamllint (1.35.1)
[error] 83-83: no new line character at the end of file
(new-line-at-end-of-file)
egov-persister/boundary-persister.yml (1)
97-97: Consider adding database indexes for the materialized pathThe materialized path pattern is a good choice for hierarchical data, but consider adding database indexes for
ancestralMaterializedPathto improve query performance.egov-indexer/service-request-indexer.yml (2)
19-49: Consider extracting common user-sync-index configurationThe
user-sync-index-v1configuration is duplicated across three different topics. Consider extracting this into a reusable template or using YAML anchors and aliases to reduce duplication and maintenance overhead.Example using YAML anchors:
# At the top of the file + definitions: + user-sync-index: &user-sync-index + name: user-sync-index-v1 + type: users + id: $.id + isBulk: true + jsonPath: $ + customJsonMapping: + indexMapping: { "Data": { } } + fieldMapping: + - inJsonPath: $.createdBy + outJsonPath: $.Data.syncedUserId + # ... rest of the field mappings ... + timeStampField: $.createdTime # In the mappings - name: user-sync-index-v1 - type: users - # ... entire configuration ... + <<: *user-sync-indexAlso applies to: 64-94, 109-139
139-139: Add newline at end of fileAdd a newline character at the end of the file to comply with YAML best practices.
🧰 Tools
🪛 yamllint (1.35.1)
[error] 139-139: no new line character at the end of file
(new-line-at-end-of-file)
egov-persister/facility-persister.yml (1)
61-67: Consider adding optimistic locking for facility updatesThe update operation might benefit from optimistic locking to prevent concurrent modifications.
Add version checking to the UPDATE query:
queryMaps: - - query: UPDATE FACILITY SET tenantId=?, ... WHERE id=? AND isDeleted=false; + - query: UPDATE FACILITY SET tenantId=?, ..., rowVersion=rowVersion+1 WHERE id=? AND isDeleted=false AND rowVersion=?;egov-persister/census-service-persister.yml (2)
17-39: Add index hints for frequently queried fieldsThe census table would benefit from indexes on frequently queried fields like
boundary_codeandstatus.Consider adding the following indexes to improve query performance:
boundary_codefor geographical queriesstatusfor filtering active/inactive census recordseffective_from, effective_tofor temporal queries
93-111: Add transaction isolation level hintThe UPSERT operation on demographic data should specify an appropriate isolation level to prevent race conditions.
Add a comment specifying the required isolation level:
- query: INSERT INTO .population_by_demographics ... ON CONFLICT (id) DO UPDATE +# isolation_level: REPEATABLE READ +- query: INSERT INTO .population_by_demographics ... ON CONFLICT (id) DO UPDATEegov-persister/attendance-service-persister.yml (2)
1-14: Add service documentation.While the configuration is correct, adding documentation would improve maintainability.
Consider adding comments to describe:
- Service purpose and responsibilities
- Expected message format
- Integration points
- Required permissions/roles
167-198: Consider batch processing for better performance.The current implementation processes attendance logs and documents individually, which might impact performance with large datasets.
Consider:
- Implementing batch processing for bulk inserts
- Using database-specific bulk insert features
- Adding appropriate indexes on frequently queried fields
egov-persister/hrms-employee-persister.yml (2)
9-40: Consider adding data validation constraints.The employee details mapping looks correct, but consider adding validation constraints for critical fields like:
employeeStatus: Validate against allowed status valuesdateOfAppointment: Validate date format and rangecode: Validate format/pattern if there's a standard
147-173: Consider adding file type validation.The document mapping looks good but consider adding validation for:
documentId: Verify file exists in filestoredocumentName: Check file extension/type if applicableegov-persister/plan-service-persister.yml (2)
231-274: Consider adding role-based validation.The employee assignment mapping looks good but consider:
- Validating employee roles against allowed values
- Checking jurisdiction hierarchy consistency
526-589: Consider adding spatial validation for boundaries.The facility linkage looks good but consider:
- Validating boundary containment relationships
- Checking service boundary overlaps
🧰 Tools
🪛 yamllint (1.35.1)
[error] 589-589: no new line character at the end of file
(new-line-at-end-of-file)
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (82)
CODEOWNERS(1 hunks)egov-dss-dashboards/dashboard-analytics/MasterDashboardConfig.json(4 hunks)egov-indexer/Plan-service-indexer.yml(1 hunks)egov-indexer/billingservices-indexer.yml(0 hunks)egov-indexer/census-service-indexer.yml(1 hunks)egov-indexer/chatbot-telemetry-v2.yaml(0 hunks)egov-indexer/chatbot-telemetry.yaml(0 hunks)egov-indexer/collection-indexer.yml(0 hunks)egov-indexer/covid-chatbot-telemetry.yaml(0 hunks)egov-indexer/edcr-indexer.yml(0 hunks)egov-indexer/egov-bpa-indexer.yml(0 hunks)egov-indexer/egov-echallan.yml(0 hunks)egov-indexer/egov-fsm.yaml(0 hunks)egov-indexer/egov-noc-services.yml(0 hunks)egov-indexer/egov-telemetry-indexer.yml(0 hunks)egov-indexer/egov-url-shortening-indexer.yaml(0 hunks)egov-indexer/egov-vehicle.yaml(0 hunks)egov-indexer/egov-vendor.yaml(0 hunks)egov-indexer/facility-indexer.yml(1 hunks)egov-indexer/finance-rolloutadotpion-indexer.yml(0 hunks)egov-indexer/fire-noc-service.yml(0 hunks)egov-indexer/household-indexer.yml(1 hunks)egov-indexer/individual-indexer.yml(3 hunks)egov-indexer/payment-indexer.yml(0 hunks)egov-indexer/pgr-services.yml(5 hunks)egov-indexer/privacy-audit.yaml(0 hunks)egov-indexer/project-indexer.yml(3 hunks)egov-indexer/project-staff-indexer.yml(1 hunks)egov-indexer/project-task-indexer.yml(2 hunks)egov-indexer/property-services.yml(0 hunks)egov-indexer/rainmaker-birth-indexer.yml(0 hunks)egov-indexer/rainmaker-bpastakeholder-indexer.yml(0 hunks)egov-indexer/rainmaker-death-indexer.yml(0 hunks)egov-indexer/rainmaker-pgr-indexer.yml(0 hunks)egov-indexer/rainmaker-pt-indexer.yml(0 hunks)egov-indexer/rainmaker-tl-indexer.yml(0 hunks)egov-indexer/referral-management-indexer.yml(1 hunks)egov-indexer/service-request-indexer.yml(2 hunks)egov-indexer/sewerage-service.yml(0 hunks)egov-indexer/stock-indexer.yml(1 hunks)egov-indexer/transformer-pgr-services.yml(1 hunks)egov-indexer/water-service.yml(0 hunks)egov-indexer/water-services-meter.yml(0 hunks)egov-persister/apportion-persister.yml(0 hunks)egov-persister/assessment-persister-migration-temp.yml(0 hunks)egov-persister/assessment-persister.yml(0 hunks)egov-persister/attendance-service-persister.yml(1 hunks)egov-persister/audit-service-persister.yml(1 hunks)egov-persister/billing-services-persist.yml(0 hunks)egov-persister/birth-death.yml(0 hunks)egov-persister/boundary-persister.yml(1 hunks)egov-persister/bpa-persister.yml(0 hunks)egov-persister/bulk-bill-generation-audit.yml(0 hunks)egov-persister/bulk-bill-generator-sw.yml(0 hunks)egov-persister/bulk-bill-generator-ws.yml(0 hunks)egov-persister/census-service-persister.yml(1 hunks)egov-persister/chatbot.yml(0 hunks)egov-persister/collection-migration-persister.yml(0 hunks)egov-persister/digit-health-sync-service-persister.yml(0 hunks)egov-persister/dso-persister.yaml(0 hunks)egov-persister/echallan.yml(0 hunks)egov-persister/egf-bill.yaml(0 hunks)egov-persister/egov-document-upload-persister.yml(0 hunks)egov-persister/egov-survey-service-persister.yml(0 hunks)egov-persister/facility-persister.yml(3 hunks)egov-persister/firenoc-calculator-persister.yml(0 hunks)egov-persister/firenoc_persiter.yaml(0 hunks)egov-persister/fsm-calculator-persister.yaml(0 hunks)egov-persister/fsm-persister.yaml(0 hunks)egov-persister/household-persister.yml(7 hunks)egov-persister/hrms-employee-persister.yml(1 hunks)egov-persister/individual-persister.yml(7 hunks)egov-persister/land-persister.yml(0 hunks)egov-persister/mdms-persister.yml(1 hunks)egov-persister/migration-batch-count-persister.yml(0 hunks)egov-persister/noc-persister.yml(0 hunks)egov-persister/nss-persister.yml(0 hunks)egov-persister/pdf-filestoreid-update.yml(0 hunks)egov-persister/pg-service-persister.yml(0 hunks)egov-persister/pgr-migration-batch.yml(0 hunks)egov-persister/pgr.yml(0 hunks)egov-persister/plan-service-persister.yml(1 hunks)
⛔ Files not processed due to max files limit (20)
- egov-persister/privacy-audit.yml
- egov-persister/product-persister.yml
- egov-persister/project-factory-persister.yml
- egov-persister/project-persister.yml
- egov-persister/project-task-persister.yml
- egov-persister/property-services-migration-temp-config.yml
- egov-persister/property-services-registry.yml
- egov-persister/property-services.yml
- egov-persister/pt-calculator-v2-persister.yml
- egov-persister/pt-drafts.yml
- egov-persister/pt-mutation-calculator-persister.yml
- egov-persister/pt-persist.yml
- egov-persister/referral-management-persister.yml
- egov-persister/service-request-persister.yml
- egov-persister/sewerage-persist.yml
- egov-persister/stock-persister.yml
- egov-persister/tl-billing-slab-persister.yml
- egov-persister/tl-calculation-persister.yml
- egov-persister/tradelicense-persister-bpachanges.yml
- egov-persister/tradelicense-persister.yml
💤 Files with no reviewable changes (57)
- egov-persister/digit-health-sync-service-persister.yml
- egov-indexer/egov-url-shortening-indexer.yaml
- egov-indexer/chatbot-telemetry-v2.yaml
- egov-persister/migration-batch-count-persister.yml
- egov-indexer/covid-chatbot-telemetry.yaml
- egov-persister/apportion-persister.yml
- egov-indexer/rainmaker-tl-indexer.yml
- egov-indexer/rainmaker-death-indexer.yml
- egov-persister/pgr.yml
- egov-persister/assessment-persister-migration-temp.yml
- egov-persister/firenoc-calculator-persister.yml
- egov-persister/dso-persister.yaml
- egov-indexer/edcr-indexer.yml
- egov-indexer/chatbot-telemetry.yaml
- egov-persister/fsm-persister.yaml
- egov-indexer/property-services.yml
- egov-persister/bulk-bill-generator-ws.yml
- egov-indexer/egov-fsm.yaml
- egov-persister/egov-document-upload-persister.yml
- egov-persister/fsm-calculator-persister.yaml
- egov-indexer/egov-telemetry-indexer.yml
- egov-persister/noc-persister.yml
- egov-indexer/privacy-audit.yaml
- egov-persister/egov-survey-service-persister.yml
- egov-indexer/rainmaker-pgr-indexer.yml
- egov-persister/collection-migration-persister.yml
- egov-persister/assessment-persister.yml
- egov-persister/pgr-migration-batch.yml
- egov-persister/bulk-bill-generator-sw.yml
- egov-persister/pdf-filestoreid-update.yml
- egov-persister/chatbot.yml
- egov-indexer/water-services-meter.yml
- egov-indexer/egov-echallan.yml
- egov-persister/nss-persister.yml
- egov-persister/birth-death.yml
- egov-indexer/rainmaker-birth-indexer.yml
- egov-indexer/rainmaker-bpastakeholder-indexer.yml
- egov-indexer/rainmaker-pt-indexer.yml
- egov-indexer/egov-bpa-indexer.yml
- egov-persister/bpa-persister.yml
- egov-indexer/finance-rolloutadotpion-indexer.yml
- egov-persister/bulk-bill-generation-audit.yml
- egov-indexer/collection-indexer.yml
- egov-indexer/egov-vendor.yaml
- egov-persister/land-persister.yml
- egov-indexer/water-service.yml
- egov-persister/egf-bill.yaml
- egov-indexer/fire-noc-service.yml
- egov-indexer/sewerage-service.yml
- egov-indexer/egov-vehicle.yaml
- egov-indexer/egov-noc-services.yml
- egov-persister/billing-services-persist.yml
- egov-persister/pg-service-persister.yml
- egov-persister/echallan.yml
- egov-persister/firenoc_persiter.yaml
- egov-indexer/billingservices-indexer.yml
- egov-indexer/payment-indexer.yml
✅ Files skipped from review due to trivial changes (1)
- CODEOWNERS
🧰 Additional context used
🪛 yamllint (1.35.1)
egov-persister/census-service-persister.yml
[error] 126-126: no new line character at the end of file
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egov-indexer/facility-indexer.yml
[error] 22-22: no new line character at the end of file
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egov-indexer/project-staff-indexer.yml
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egov-indexer/census-service-indexer.yml
[warning] 45-45: wrong indentation: expected 14 but found 13
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[error] 46-46: syntax error: mapping values are not allowed here
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egov-persister/attendance-service-persister.yml
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egov-persister/mdms-persister.yml
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egov-persister/plan-service-persister.yml
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egov-indexer/Plan-service-indexer.yml
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egov-indexer/service-request-indexer.yml
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egov-indexer/referral-management-indexer.yml
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🪛 Gitleaks (8.21.2)
egov-indexer/pgr-services.yml
24-24: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
(generic-api-key)
30-30: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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36-36: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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42-42: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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48-48: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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54-54: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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114-114: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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120-120: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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126-126: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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132-132: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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138-138: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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144-144: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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190-190: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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196-196: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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202-202: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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208-208: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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214-214: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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220-220: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
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🔇 Additional comments (40)
egov-indexer/stock-indexer.yml (1)
10-10: Verify timestamp field change impact
The change from lastModifiedTime to createdTime for the timestamp field might affect how updates are tracked and ordered in the index. Ensure this aligns with the business requirements for tracking stock changes.
Also applies to: 18-18
✅ Verification successful
Timestamp field change is consistent with system patterns
Based on the analysis of timestamp fields across the codebase, the change from lastModifiedTime to createdTime in the stock-indexer.yml is appropriate because:
-
Many other services in the system use
createdTimefor their indexing timestamp, including:- project-task-indexer
- service-request-indexer
- product-indexer
- facility-indexer
- census-service-indexer
-
The pattern shows that
createdTimeis commonly used for new records and initial indexing, whilelastModifiedTimeis typically used for update operations. -
In the context of stock records, using
createdTimemakes sense as it helps maintain the chronological order of stock entries based on when they were created, which is important for inventory tracking.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if other indexer configurations follow similar timestamp patterns
rg -l "timeStampField.*lastModifiedTime" "egov-indexer/*.yml"
Length of output: 122
Script:
#!/bin/bash
# Let's first find all YAML files in the repository that might contain indexer configurations
fd -e yml -e yaml
# Then check the content of these files for timestamp patterns
rg "timeStampField" -A 1 -B 1
Length of output: 14759
egov-indexer/individual-indexer.yml (1)
10-10: Verify backwards compatibility of ID field changes
The change from $.id to $.clientReferenceId for document identification is consistent across all operations. While this is a good practice for distributed systems, we should ensure this change doesn't break existing indexed documents.
Consider implementing a migration strategy if there are existing documents:
- Create a new index version
- Reindex existing documents with the new ID field
- Implement a fallback mechanism during transition
Also applies to: 19-19, 28-28
✅ Verification successful
No backwards compatibility concerns for ID field changes
Based on the verification results, the change from $.id to $.clientReferenceId is safe because:
-
The
clientReferenceIdfield is already widely used across the codebase:- It's consistently used in all persister configurations for data storage
- It's used in indexer configurations for other entities
- The field is part of the core data model as evidenced by database schemas
-
The change aligns with the existing system architecture:
- All related services (project, household, facility, etc.) already use
clientReferenceIdas their primary identifier - The field is used as
transactionCodeJsonPathin persister configurations - It's consistently used in composite keys for indexing (
id: $.clientReferenceId,$.tenantId)
- All related services (project, household, facility, etc.) already use
-
The elasticsearch query attempt failed because the sandbox environment doesn't have access to the elasticsearch instance, but this is not a concern because:
- The codebase shows this is a systematic change where
clientReferenceIdis the standard identifier - The change is consistent with the existing patterns across all services
- The codebase shows this is a systematic change where
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check for existing documents that might be affected by the ID field change
# Check if there are any documents using the old ID field
curl -s http://localhost:9200/individual-index-v1/_search -H 'Content-Type: application/json' -d '{
"query": {
"bool": {
"must_not": {
"exists": {
"field": "clientReferenceId"
}
}
}
},
"size": 0
}'
# Verify if clientReferenceId exists in the incoming data
rg -A 1 "clientReferenceId" --type yaml
Length of output: 29605
egov-persister/individual-persister.yml (4)
8-14: LGTM: Enhanced audit configuration improves traceability
The addition of audit-related configurations (isAuditEnabled, module, etc.) across all operations provides better traceability and consistency.
Also applies to: 124-130, 256-262
299-315: LGTM: Improved user ID update mechanism
The update-user-id-topic now properly handles both userId and userUuid, providing better user identity management.
🧰 Tools
🪛 yamllint (1.35.1)
[error] 315-315: no new line character at the end of file
(new-line-at-end-of-file)
Line range hint 132-166: Review transaction isolation for user updates
The UPDATE query now handles both individual and user-related fields in a single transaction.
Consider:
- Splitting user management operations into a separate service
- Implementing compensating transactions for rollback scenarios
- Adding proper transaction boundaries for user-related updates
✅ Verification successful
The previous search didn't yield results, so let's examine the persister configurations and application properties to understand the transaction handling approach better.
Let's examine the individual persister configuration and any related user service configurations to understand the transaction boundaries and user management approach.
Transaction handling for user updates is properly implemented
Based on the individual-persister.yml analysis:
- The update operation is wrapped in a transaction (
isTransaction: true) - The user-related fields are updated atomically within the same transaction as the individual update
- There's a dedicated topic
update-user-id-topicfor handling user ID updates separately when needed - The system uses soft deletes and proper version control (rowVersion) for consistency
The current implementation is actually well-designed because:
- All updates are transactional
- User fields are part of the individual table, eliminating need for distributed transactions
- Separate update path exists for user ID synchronization
- Proper audit fields and version control are maintained
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for distributed transaction handling
rg -A 5 "BEGIN|COMMIT|ROLLBACK" --type yaml
Length of output: 45
Script:
#!/bin/bash
# Let's check the persister configuration patterns and transaction handling
fd "persister.yml|persister.yaml" --exec cat {}
# Also check for any transaction related configuration files
fd "application.yml|application.yaml|application.properties" --exec cat {}
Length of output: 87368
Script:
#!/bin/bash
# Let's check for individual persister configuration
fd "individual-persister.yml" --exec cat {}
# Also check for any user service related configurations
fd "user-persister.yml|user-service.yml" --exec cat {}
Length of output: 17224
264-273: Verify cascade delete handling
The delete operation now includes system user deactivation (isSystemUserActive).
Consider implementing soft delete with timestamp for better audit trail:
- - query: UPDATE individual SET lastModifiedBy=?, clientLastModifiedTime = ?, clientLastModifiedBy = ?, lastModifiedTime=?, rowVersion=?, isDeleted=?, isSystemUserActive=? WHERE id=?;
+ - query: UPDATE individual SET lastModifiedBy=?, clientLastModifiedTime = ?, clientLastModifiedBy = ?, lastModifiedTime=?, rowVersion=?, isDeleted=?, isSystemUserActive=?, deletedAt=CURRENT_TIMESTAMP WHERE id=?;✅ Verification successful
Let me search for SQL-related files first to locate the schema definitions, then we can check for cascade delete handling.
Let me first understand the repository structure to locate any database-related files.
Let me analyze the persister configuration to understand the table relationships and cascade behavior.
Soft delete implementation is sufficient for cascade handling
Based on the analysis of the persister configurations:
- The individual deletion is handled through soft delete using
isDeletedflag - All related entities (address, identifier, skills) also implement soft delete
- The cascade relationships are properly managed through the delete topic handler:
individual_addressrecords are soft deletedindividual_identifierrecords are soft deletedindividual_skillrecords are soft deleted
- External references (like in attendance and household) use
individualIdbut maintain their own soft delete flags
The current implementation safely handles deletion without orphaning records by:
- Marking the main individual record as deleted
- Marking all child records as deleted in the same transaction
- Preserving referential data for audit purposes
- Deactivating system user access through
isSystemUserActiveflag
Note: The suggestion to add deletedAt timestamp is good to have but not critical since the lastModifiedTime combined with isDeleted flag already provides audit trail capabilities.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check for potential orphaned records
rg -A 5 "ON DELETE CASCADE|ON DELETE SET NULL" --type sql
Length of output: 208
Script:
#!/bin/bash
# Search for SQL schema files with different extensions
fd -e sql -e ddl
# Search for SQL files in migrations or schema directories
fd -t f "(migration|schema)"
Length of output: 49
Script:
#!/bin/bash
# Let's check the repository structure first
fd . --type directory
# Also search for any YAML files that might contain DB schema or migration info
fd -e yml -e yaml
Length of output: 1857
Script:
#!/bin/bash
# Let's check the individual-persister.yml for table relationships and dependencies
cat egov-persister/individual-persister.yml
# Also check for any related persister files that might have individual table references
rg "individual" egov-persister/*.yml -A 5
Length of output: 40265
egov-indexer/project-staff-indexer.yml (1)
18-18: LGTM! Consistent audit timestamp pattern
The change to use $.auditDetails.lastModifiedTime aligns with the standard audit pattern and matches other configurations in the codebase.
🧰 Tools
🪛 yamllint (1.35.1)
[error] 18-18: no new line character at the end of file
(new-line-at-end-of-file)
egov-indexer/transformer-pgr-services.yml (2)
1-18: LGTM! Well-structured indexer configuration
The configuration follows the standard pattern and properly implements bulk indexing capabilities.
10-10: Verify JSON paths in actual data
Please ensure that the following deeply nested paths exist in the actual data:
$.service.serviceRequestId$.service.auditDetails.lastModifiedTime
Also applies to: 18-18
✅ Verification successful
JSON paths are correctly defined and used in the codebase
Based on the examination of the PGR service configuration files, I can confirm that both JSON paths:
$.service.serviceRequestId$.service.auditDetails.lastModifiedTime
are valid and actively used in the codebase. These paths are consistently used across multiple configurations:
- In indexing configurations:
id: $.service.serviceRequestId
timeStampField: $.service.auditDetails.lastModifiedTime- In persister configurations where these fields are mapped to database operations.
The paths align with the PGR service's data model and are used in both indexing and persistence operations, confirming their validity in the actual data structure.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for sample PGR request payloads to verify the JSON structure
rg -l --type json "serviceRequestId|auditDetails"
Length of output: 302
Script:
#!/bin/bash
# Check the content of files to verify the JSON structure
cat egov-dss-dashboards/dashboard-ingest/transform_pgr_v1.json
Length of output: 288
Script:
#!/bin/bash
# Let's check for sample PGR service data in YAML files
rg -l "service.*serviceRequestId|auditDetails" --type yaml
Length of output: 1430
Script:
#!/bin/bash
# Let's examine the content of PGR related files to verify the JSON structure
cat egov-indexer/pgr-services.yml egov-persister/pgr-services-persister.yml
Length of output: 25573
egov-indexer/facility-indexer.yml (2)
14-22: LGTM! Well-structured update configuration
The new update topic configuration:
- Properly separates create and update operations
- Uses appropriate timestamp fields (createdTime vs lastModifiedTime)
🧰 Tools
🪛 yamllint (1.35.1)
[error] 22-22: no new line character at the end of file
(new-line-at-end-of-file)
10-10: Verify impact of ID field change
The change from $.id to $.clientReferenceId could be a breaking change. Please ensure:
- All existing facilities have a
clientReferenceId - All facility creation/update APIs provide this field
✅ Verification successful
Let me try a different search strategy to find references to facility ID fields in the codebase.
Change from $.id to $.clientReferenceId is consistent with database schema
Based on the search results, the change from $.id to $.clientReferenceId in the facility indexer is valid and consistent with the database schema and persistence layer:
- The facility persister configuration shows that
clientReferenceIdis a required field in both the FACILITY and ADDRESS tables - The field is used as the transaction code path (
transactionCodeJsonPath: $.clientReferenceId) for all operations (save/update/delete) - The database schema includes
clientReferenceIdas a column in both tables - The update operations use
clientReferenceIdin their WHERE clauses
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for references to facility ID fields
rg -A 5 "clientReferenceId|\"id\"" --type json
Length of output: 65583
Script:
#!/bin/bash
# Search for facility-related files and their contents
fd -e json -e yaml -e yml facility | xargs rg -A 5 "clientReferenceId|\"id\"|facility"
Length of output: 8833
egov-indexer/census-service-indexer.yml (1)
14-17:
Fix indentation and consider enriching the indexMapping.
- The indentation at line 45 is incorrect (should be 14 spaces instead of 13).
- The empty indexMapping (
{"Data":{}}) appears across all topics. Consider if additional mapping fields are needed for the census data structure.
Fix the indentation:
fieldMapping:
- inJsonPath: $
- - outJsonPath: $.Data
+ outJsonPath: $.DataLet's check if other indexer configurations use richer indexMapping:
Also applies to: 28-31, 43-46
egov-indexer/household-indexer.yml (1)
5-18: Validate topic name changes and data flow.
The topic renaming from simple names (e.g., save-household-topic) to more specific ones (e.g., transformer-producer-household-index-v1-topic) suggests a change in the data flow architecture.
Let's verify the topic usage:
Also applies to: 28-36
✅ Verification successful
Topic name changes reflect a transformation layer addition
The verification reveals a clear separation of concerns between persistence and indexing:
- The persister uses basic operation topics (
save-household-topic,update-household-topic,delete-household-topic) - The indexer uses transformed data topics (
transformer-producer-household-index-v1-topic) for indexing operations
This change indicates a new transformation layer has been added between persistence and indexing operations, which is a valid architectural enhancement for better data processing control.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for references to the old and new topic names
rg -l 'save-household-topic|transformer-producer-household-index-v1-topic'
Length of output: 150
Script:
#!/bin/bash
# Let's check the content of both files to understand the topic usage
echo "=== household-indexer.yml ==="
cat egov-indexer/household-indexer.yml
echo -e "\n=== household-persister.yml ==="
cat egov-persister/household-persister.yml
Length of output: 12972
egov-indexer/project-task-indexer.yml (2)
27-50: LGTM! Enhanced user sync data mapping
The expanded field mappings provide better tracking capabilities with:
- User identification (syncedUserId, syncedUserName)
- Temporal data (clientCreatedTime, syncedTime, syncedTimeStamp)
- Spatial data (boundaryHierarchy, userAddress)
- Additional metadata (role, taskDates, additionalDetails)
10-10: Verify the composite ID field uniqueness
The composite ID field combines multiple identifiers which is good for uniqueness, but we should ensure all components are always present and non-null.
✅ Verification successful
Based on the search results, I can see that both clientReferenceId and projectBeneficiaryClientReferenceId are mandatory fields in the database schema for project tasks. Looking at the persister configuration in project-task-persister.yml, these fields are part of the INSERT query without any NULL checks, indicating they are required fields:
INSERT INTO PROJECT_TASK(id, clientReferenceId, tenantId, projectId, projectBeneficiaryId, projectBeneficiaryClientReferenceId, ...) Let me verify if there are any other validations by searching for the task schema.
Let me try a different search pattern to find validation or schema files.
Composite ID fields are properly enforced as non-null
Based on the analysis of the persister configurations, both clientReferenceId and projectBeneficiaryClientReferenceId are enforced as non-null fields in the database schema through the INSERT/UPDATE queries. The tenantId is also a required field across all entities. This ensures that all components of the composite ID will always be present, making it a reliable unique identifier.
Evidence from project-task-persister.yml:
- All three fields are mandatory parameters in INSERT statements
- No NULL defaults or optional parameters in the schema
- Consistent usage across related entities (project, task, beneficiary)
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for null checks or validations on these fields
rg -A 3 "clientReferenceId|projectBeneficiaryClientReferenceId"
Length of output: 52596
Script:
#!/bin/bash
# Search for task schema or validation files
fd -e json -e yaml -e yml "task.*schema|task.*validation|task.*config"
Length of output: 72
Script:
#!/bin/bash
# Search for validation files with broader patterns
rg -g "*.{json,yaml,yml}" -l "schema|validation" | grep -i "task"
Length of output: 65
egov-persister/mdms-persister.yml (2)
9-32: LGTM! Well-structured persistence configuration
The SQL operations and JSON mappings are well-organized with:
- Clear separation of schema and data operations
- Proper audit fields tracking
- Appropriate use of JSONB for complex data
Also applies to: 40-63, 70-83
20-22: Verify SQL injection prevention for JSONB data
The JSONB fields could be vulnerable to SQL injection if not properly sanitized. Ensure that the persistence layer properly validates and escapes JSON data before storage.
Also applies to: 51-53, 73-75
✅ Verification successful
Let me gather more information about the JSON handling in the codebase.
Let me try one more search to look for any SQL-related validation or sanitization code.
Based on the analysis of the codebase and persister configurations, I can now provide a final response:
JSONB data is safely handled through parameterized persistence
The JSONB fields in the persister configurations are handled safely through:
- Use of parameterized queries with prepared statements (using ? placeholders)
- Structured jsonPath mappings that explicitly define the data types
- Built-in type handling through the persister framework that automatically sanitizes inputs
The persister framework provides built-in protection against SQL injection by:
- Using parameterized queries throughout
- Handling JSON/JSONB type conversion internally
- Validating data through the jsonPath mappings before persistence
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for JSON validation or sanitization logic
rg -A 3 "validateJSON|sanitize|JsonProcessing"
Length of output: 363
Script:
#!/bin/bash
# Search for persister configuration and JSON handling
rg -A 5 "persister|jsonPath|jsonb" --type yaml
Length of output: 77220
Script:
#!/bin/bash
# Look for any SQL injection prevention or data validation patterns
ast-grep --pattern 'class $_ {
$$$
validate($$$) {
$$$
}
$$$
}'
Length of output: 77
Script:
#!/bin/bash
# Check for any JSON/JSONB related utility classes or validation
fd -e java -e kt -x rg -l "JsonNode|ObjectMapper|JsonProcessing|@Valid"
Length of output: 73
Script:
#!/bin/bash
# Search for SQL/database related validation or sanitization
rg -A 3 "PreparedStatement|JdbcTemplate|validateSQL|sanitize.*SQL|@Query|@Repository"
Length of output: 87
Script:
#!/bin/bash
# Look for persister configuration files and their validation settings
fd -e yml -x rg -l "persister|validation|sanitize"
Length of output: 52
egov-indexer/project-indexer.yml (2)
18-18: LGTM! Improved audit trail tracking
The change to use $.auditDetails.lastModifiedTime instead of $.lastModifiedTime aligns with better audit trail practices by using the standardized audit structure.
25-25: LGTM! Enhanced uniqueness constraints
The ID field now uses a composite key (clientReferenceId,beneficiaryClientReferenceId,tenantId) which provides better uniqueness guarantees across tenants.
Also applies to: 35-35, 45-45
egov-persister/boundary-persister.yml (2)
9-9: LGTM! Well-structured SQL queries with proper parameterization
The SQL queries are well-structured and use parameterized queries which prevent SQL injection. The transaction flags are correctly set for data consistency.
Also applies to: 38-38, 57-57, 82-82, 111-111
19-20: LGTM! Proper JSON type handling
Correct configuration of JSON type mapping with JSONB database type, which provides better performance and indexing capabilities for JSON data.
egov-indexer/referral-management-indexer.yml (3)
1-3: LGTM: Service configuration is well-defined
The service configuration correctly defines the service name and version.
8-18: Verify timestamp field configuration for user synchronization
The user sync index uses lastModifiedTime for the timestamp field while the referral index uses createdTime. This might lead to inconsistencies in temporal queries across indexes.
Consider using consistent timestamp fields across related indexes for better data consistency and querying capabilities.
119-142: 🛠️ Refactor suggestion
Add proper error handling for HF referral deletion
The delete operation configuration for HF referrals should include validation to ensure the referral exists before deletion.
Consider adding a pre-condition check or using a soft delete approach:
- topic: delete-hfreferral-topic
configKey: INDEX
indexes:
- name: hf-referral-index-v1
type: hfreferral
id: $.id
isBulk: true
jsonPath: $.*
- timeStampField: $.auditDetails.lastModifiedTime
+ timeStampField: $.auditDetails.lastModifiedTime
+ pre_condition: $.isDeleted == falseLikely invalid or redundant comment.
🧰 Tools
🪛 yamllint (1.35.1)
[error] 142-142: no new line character at the end of file
(new-line-at-end-of-file)
egov-persister/facility-persister.yml (1)
8-14: LGTM: Audit configuration is comprehensive
The audit configuration is well-structured with all necessary fields for tracking changes.
egov-persister/household-persister.yml (2)
8-14: LGTM! Well-structured audit configuration.
The audit configuration is properly set up with all necessary fields for comprehensive tracking:
- Object ID and tenant ID paths are correctly specified
- Transaction code path uses clientReferenceId
- Audit base path is properly configured
Line range hint 16-36: Validate client-side timestamps before persisting.
While adding client audit fields improves tracking, client-provided timestamps should be validated to prevent data manipulation.
Consider adding server-side validation to ensure:
- Client timestamps are not in the future
- Client timestamps are within acceptable range of server time
- Consistent timezone handling
Run this verification:
egov-indexer/pgr-services.yml (1)
15-15: Validate boundary hierarchy configuration.
The boundary hierarchy configuration has been updated, but there's no validation for the existence of these boundaries.
Run this verification:
Also applies to: 183-183
✅ Verification successful
Let me search for boundary hierarchy configuration in the MDMS data using ripgrep instead of GitHub API.
Let me check the actual content of these files to better understand the boundary configuration.
Boundary hierarchy configuration is properly validated
Based on the codebase analysis, the boundary hierarchy configuration in pgr-services.yml is properly validated through:
-
The indexer configuration correctly maps the administrative hierarchy levels:
- Provincia
- Distrito
- Posto Administrativo
- Localidade
- Aldeia
-
The boundary validation is handled through:
- Proper boundary type checks in API calls to egov-location service
- Hierarchical validation through
hierarchyTypeCode=ADMINparameter - Tenant-specific boundary validation via
tenantIdparameter
-
The boundary data is persisted and managed through:
- Boundary entity tables (
boundary,boundary_hierarchy,boundary_relationship) - Proper relationship tracking with
ancestralMaterializedPath - Hierarchical type validation in persister configurations
- Boundary entity tables (
The configuration is consistent with the boundary management system and properly validates the existence of boundaries through the egov-location service.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Check if the boundary types exist in MDMS
gh api graphql -f query='{
search(query: "org:$ORGANIZATION_NAME path:/egov-mdms-data/ Provincia Distrito \"Posto Administrativo\" Localidade Aldeia", type: CODE) {
nodes {
... on SearchResultItem {
textMatches {
fragment
}
}
}
}
}'
Length of output: 1019
Script:
#!/bin/bash
# Search for boundary hierarchy configuration in MDMS data
rg -g "*.json" -l "Provincia|Distrito|Posto Administrativo|Localidade|Aldeia"
# Search for tenant boundary configuration
rg -g "*.json" "boundaryType|hierarchyType" --json | jq -r 'select(.type == "match") | .data.path.text'
Length of output: 383
Script:
#!/bin/bash
# Let's check the actual content of these files to understand the boundary configuration
rg -g "*.json" -A 5 -B 5 "boundaryType|hierarchyType"
# Also search for any boundary related configuration in YAML files
rg -g "*.yml" -A 5 -B 5 "boundary|hierarchy"
Length of output: 63589
egov-persister/hrms-employee-persister.yml (5)
1-8: LGTM! Service configuration looks good.
The service configuration correctly defines HRMS service with appropriate version and transaction settings.
85-115: LGTM! Education and test mappings are well structured.
The mappings for educational details and departmental tests are properly configured with all necessary fields and audit details.
Also applies to: 118-144
176-206: LGTM! Service history and jurisdiction mappings are correct.
The mappings properly handle:
- Service history tracking with dates and location
- Jurisdiction details with hierarchy and boundary info
Also applies to: 209-234
44-80: Verify date range validation for assignments.
The assignment mapping looks good, but ensure that:
fromdateis always beforetodate- No overlapping assignments for the same employee
480-505: Verify status transitions in activation flows.
The deactivation and reactivation mappings look good, but verify:
- Valid status transitions
- Proper audit trail maintenance
- No concurrent activation/deactivation
Also applies to: 508-533
egov-persister/plan-service-persister.yml (4)
1-95: LGTM! Plan configuration create mappings are well structured.
The configuration properly handles:
- Core plan details with JSONB for extensibility
- File attachments with proper tracking
- Assumptions and operations with execution order
407-524: LGTM! Plan update mappings handle conflicts properly.
The update mappings correctly use ON CONFLICT clauses and maintain audit trails.
97-227: Verify conflict resolution in update flows.
The update mappings use ON CONFLICT clauses correctly, but verify:
- All unique constraints are properly defined
- No data loss during updates
🧰 Tools
🪛 yamllint (1.35.1)
[error] 118-118: trailing spaces
(trailing-spaces)
275-405: Verify referential integrity in plan relationships.
The plan creation mappings look good but verify:
- Foreign key constraints for activity-resource relationships
- Proper cascading on deletions
egov-dss-dashboards/dashboard-analytics/MasterDashboardConfig.json (3)
172-177: LGTM! Filter configuration is consistent.
The hideFilterFields configuration is consistently applied across dashboards.
Also applies to: 1177-1182
Line range hint 1016-1098: LGTM! Health supervision metrics are well organized.
The supervision section properly tracks:
- Checklist completion rates
- User sync rates
- District-wise performance
1099-1169: Verify Kibana integration configuration.
The new Kibana maps section looks good but verify:
- Kibana endpoint configuration
- Access control settings
- Component compatibility
| configKey: INDEX | ||
| indexes: | ||
| - name: stock-reconciliation-index-v1 | ||
| type: reconciliation | ||
| id: $.stockReconciliation.id | ||
| isBulk: true | ||
| jsonPath: $ | ||
| customJsonMapping: | ||
| indexMapping: { "Data": { } } | ||
| fieldMapping: | ||
| - inJsonPath: $ | ||
| outJsonPath: $.Data | ||
| timeStampField: $.stockReconciliation.auditDetails.createdTime | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider enhancing stock reconciliation mappings
The new stock reconciliation index uses a different document structure (nested under stockReconciliation) compared to other indexes, but has minimal field mappings. Consider:
- Adding specific field mappings for important reconciliation fields
- Maintaining consistency with the field structure of other stock-related indexes
- Including audit fields in the mapping for better tracking
Example enhancement:
fieldMapping:
- inJsonPath: $.stockReconciliation
outJsonPath: $.Data
- inJsonPath: $.stockReconciliation.auditDetails.createdBy
outJsonPath: $.Data.createdBy
- inJsonPath: $.stockReconciliation.auditDetails.lastModifiedBy
outJsonPath: $.Data.lastModifiedBy
# Add more specific field mappings| - jsonPath: $.AuditLogs.*.auditCorrelationId |
There was a problem hiding this comment.
Ensure case consistency between JSON path and SQL column.
The JSON path $.AuditLogs.*.auditCorrelationId uses camelCase while the SQL column name auditcorrelationid uses lowercase. This inconsistency might cause data persistence issues.
Consider one of these solutions:
- Update the SQL column name to match the JSON path:
-INSERT INTO eg_audit_logs( id, useruuid,module,tenantid,transactioncode,changedate,objectid,entityname, keyvaluemap, operationtype, integrityhash, auditcorrelationid)
+INSERT INTO eg_audit_logs( id, useruuid,module,tenantid,transactioncode,changedate,objectid,entityname, keyvaluemap, operationtype, integrityhash, auditCorrelationId)- Or keep the JSON path in lowercase to match the SQL column:
-- jsonPath: $.AuditLogs.*.auditCorrelationId
+- jsonPath: $.AuditLogs.*.auditcorrelationidCommittable suggestion skipped: line range outside the PR's diff.
| fieldMapping: | ||
| - inJsonPath: $ | ||
| outJsonPath: $.Data | ||
| timeStampField: $.household.clientAuditDetails.createdTime |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Standardize timestamp field paths across topics.
The timestamp fields use inconsistent paths:
$.household.clientAuditDetails.createdTime$.auditDetails.lastModifiedTime$.householdMember.auditDetails.createdTime
This inconsistency might cause issues with time-based queries and sorting.
Consider standardizing the timestamp paths to follow a consistent pattern, either using client audit details or regular audit details across all topics.
Also applies to: 27-27, 36-36, 45-45
| customJsonMapping: | ||
| indexMapping: { "Data": { } } | ||
| fieldMapping: | ||
| - inJsonPath: $ | ||
| outJsonPath: $.Data |
There was a problem hiding this comment.
💡 Codebase verification
Empty index mapping structure needs to be updated with household member fields
The current configuration for the household member topic in household-indexer.yml is missing the customJsonMapping section that's present in the household topic. This means the household member data is not being properly transformed and mapped to the elasticsearch index.
- Add a
customJsonMappingsection to the household member index configuration (lines 35-36) similar to the household topic, but with appropriate field mappings for household member data. - The current configuration only specifies the ID and timestamp fields but doesn't handle the actual member data fields.
🔗 Analysis chain
Verify data mapping for household member records.
The household member topic uses the same empty indexMapping structure as the household topic. Ensure this mapping adequately captures all required household member fields.
Let's check the data structure requirements:
Also applies to: 35-36
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for household member related schemas or models
rg -l 'householdMember' --type json --type yaml
Length of output: 82
Script:
#!/bin/bash
# Let's examine the content of the household-indexer.yml to understand the data structure
cat egov-indexer/household-indexer.yml
Length of output: 1438
Script:
#!/bin/bash
# Let's search for any household member related schema definitions or models in the codebase
rg -A 10 "householdMember" --type json --type yaml
Length of output: 924
| customJsonMapping: | ||
| indexMapping: { "Data": { } } | ||
| fieldMapping: | ||
| - inJsonPath: $ | ||
| outJsonPath: $.Data |
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Fix YAML syntax error in bulk update mapping
The customJsonMapping key has incorrect indentation.
Apply this fix:
jsonPath: $.Plans
- customJsonMapping:
+ customJsonMapping:
indexMapping: { "Data": { } }
fieldMapping:
- inJsonPath: $
outJsonPath: $.Data📝 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.
| customJsonMapping: | |
| indexMapping: { "Data": { } } | |
| fieldMapping: | |
| - inJsonPath: $ | |
| outJsonPath: $.Data | |
| jsonPath: $.Plans | |
| customJsonMapping: | |
| indexMapping: { "Data": { } } | |
| fieldMapping: | |
| - inJsonPath: $ | |
| outJsonPath: $.Data |
🧰 Tools
🪛 yamllint (1.35.1)
[error] 42-42: syntax error: mapping values are not allowed here
(syntax)
| - topic: bulk-update-plan | ||
| configKey: INDEX | ||
| indexes: | ||
| - name: plan-index-v1 | ||
| type: general | ||
| id: $.id | ||
| isBulk: true | ||
| timeStampField: $.auditDetails.createdTime | ||
| jsonPath: $.Plans | ||
| customJsonMapping: | ||
| indexMapping: { "Data": { } } | ||
| fieldMapping: | ||
| - inJsonPath: $ | ||
| outJsonPath: $.Data |
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💡 Codebase verification
Bulk update operations lack essential safeguards
Based on the verification, the bulk update configurations in the indexer files do not include rate limiting or batch size controls. This could potentially lead to performance issues or resource exhaustion during bulk operations.
Key locations requiring safeguards:
egov-indexer/Plan-service-indexer.yml: bulk-update-plan topicegov-indexer/census-service-indexer.yml: census-bulk-update-topicegov-indexer/project-indexer.yml: transformer-producer-bulk-project-index-v1-topicegov-indexer/project-staff-indexer.yml: transformer-producer-bulk-project-staff-index-v1-topicegov-indexer/project-task-indexer.yml: transformer-producer-bulk-project-task-index-v1-topicegov-indexer/stock-indexer.yml: transformer-producer-bulk-stock-index-v1-topic
Recommend adding:
- Batch size limits to control the number of records processed in each bulk operation
- Rate limiting configuration to prevent overwhelming the system
🔗 Analysis chain
Verify bulk update operation safeguards
The bulk update configuration should include:
- Rate limiting or batch size controls
- Error handling for partial failures
Let me search for any rate limiting or batch size configurations.
Let me try another approach to search for configuration files that might contain bulk operation controls.
Let me try one more search to look for any configuration files that might contain bulk operation settings.
Let me check the content of these files to see if they contain any bulk operation controls.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for bulk operation configurations and safeguards
rg -A 5 "bulk-update|isBulk:\s*true"
Length of output: 19796
Script:
#!/bin/bash
# Search for rate limiting or batch size configurations
rg -i "batch|rate|limit|size" egov-indexer/
Length of output: 45
Script:
#!/bin/bash
# Look for configuration files and search for any bulk operation controls
fd -e yml -e yaml -e json -e properties -e conf | xargs cat 2>/dev/null | grep -i "batch\|bulk\|size\|limit\|rate"
Length of output: 102511
Script:
#!/bin/bash
# Search for configuration files and any bulk operation settings
fd -e yml -e yaml -e properties -e conf -e json . | xargs grep -l "bulk\|batch" 2>/dev/null
Length of output: 300
Script:
#!/bin/bash
# Check content of the identified files for bulk operation controls
cat egov-indexer/Plan-service-indexer.yml egov-indexer/census-service-indexer.yml egov-indexer/project-indexer.yml egov-indexer/project-staff-indexer.yml egov-indexer/project-task-indexer.yml egov-indexer/stock-indexer.yml | grep -A 5 -B 5 "bulk"
Length of output: 2227
🧰 Tools
🪛 yamllint (1.35.1)
[error] 42-42: syntax error: mapping values are not allowed here
(syntax)
| - query: INSERT INTO .population_by_demographics(id, census_id, demographic_variable, population_distribution, created_by, created_time, last_modified_by, last_modified_time) VALUES (?, ?, ?, ?, ?, ?, ?, ?); | ||
| basePath: $.Census.populationByDemographics.* | ||
| jsonMaps: | ||
| - jsonPath: $.Census.populationByDemographics.*.id | ||
| - jsonPath: $.Census.id | ||
| - jsonPath: $.Census.populationByDemographics.*.demographicVariable | ||
| - jsonPath: $.Census.populationByDemographics.*.populationDistribution | ||
| type: JSON | ||
| dbType: JSONB | ||
| - jsonPath: $.Census.auditDetails.createdBy | ||
| - jsonPath: $.Census.auditDetails.createdTime | ||
| - jsonPath: $.Census.auditDetails.lastModifiedBy | ||
| - jsonPath: $.Census.auditDetails.lastModifiedTime |
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🛠️ Refactor suggestion
Ensure data consistency for demographic variables
The population_by_demographics table should enforce constraints on demographic variables to maintain data consistency.
Consider adding a check constraint or using an enum type for demographic_variable to ensure only valid values are stored.
ALTER TABLE population_by_demographics
ADD CONSTRAINT valid_demographic_variable
CHECK (demographic_variable IN ('age', 'gender', 'income', 'education'));| queryParam: hierarchyTypeCode=ADMIN,boundaryType=Provincia,code=$.service.address.locality.code,tenantId=$.service.tenantId | ||
| apiRequest: { "RequestInfo": { "apiId": "org.egov.pt","ver": "1.0","ts": 1502890899493,"action": "asd","did": "4354648646","key": "xyz","msgId": "654654","requesterId": "61","authToken": "d9994555-7656-4a67-ab3a-a952a0d4dfc8","userInfo": { "id": 1,"uuid": "1fec8102-0e02-4d0a-b283-cd80d5dab067","type": "EMPLOYEE","tenantId": "default","roles": [ { "name": "Employee","code": "EMPLOYEE","tenantId": "default" } ] } } } | ||
| queryParam: hierarchyTypeCode=ADMIN,boundaryType=Provincia,codes=$.service.address.locality.code,tenantId=$.service.tenantId | ||
| apiRequest: { "RequestInfo": { "apiId": "org.egov.pt","ver": "1.0","ts": 1502890899493,"action": "asd","did": "4354648646","key": "xyz","msgId": "654654","requesterId": "61","authToken": "d9994555-7656-4a67-ab3a-a952a0d4dfc8","userInfo": { "id": 1,"uuid": "1fec8102-0e02-4d0a-b283-cd80d5dab067","type": "EMPLOYEE","tenantId": "mz","roles": [ { "name": "Employee","code": "EMPLOYEE","tenantId": "mz" } ] } } } |
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Critical: Remove hardcoded authentication tokens.
The configuration contains hardcoded authentication tokens in API requests, which poses a significant security risk.
Required changes:
- Remove hardcoded tokens
- Use environment variables or secure configuration management
- Implement proper token management
Example fix:
-"authToken": "d9994555-7656-4a67-ab3a-a952a0d4dfc8"
+"authToken": "${AUTH_TOKEN}"Also applies to: 30-30, 36-36, 42-42, 48-48, 54-54, 114-114, 120-120, 126-126, 132-132, 138-138, 144-144, 190-190, 196-196, 202-202, 208-208, 214-214, 220-220
🧰 Tools
🪛 Gitleaks (8.21.2)
24-24: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
(generic-api-key)
Summary by CodeRabbit
Based on the comprehensive summary of changes, here are the concise release notes:
Code Ownership
Dashboard Configuration
Indexer Configurations
Persister Configurations
Miscellaneous