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Dev#1406

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DoctorJambo wants to merge 5 commits into
mate-academy:mainfrom
DoctorJambo:dev
Open

Dev#1406
DoctorJambo wants to merge 5 commits into
mate-academy:mainfrom
DoctorJambo:dev

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@DoctorJambo

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@mateacademy-ai-mentor mateacademy-ai-mentor left a comment

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Review Summary

Your implementation correctly solves all six tasks using Stream API, and the core logic is sound. However, CandidateValidator violates [CHECKLIST ITEM #5] by using magic numbers and strings directly in the code. The values 35, 10, and "Ukrainian" must be extracted as named constants (e.g., MIN_AGE, MIN_YEARS_IN_UKRAINE, REQUIRED_NATIONALITY) to meet the explicit checklist requirement. Additionally, there's a medium-priority issue where date parsing calls split("-") twice on the same string—parse it once and reuse the values for better efficiency. Once you extract these values to constants, I'll be happy to approve the submission.


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Comment on lines +9 to +11
return candidate.getAge() >= 35
&& candidate.isAllowedToVote()
&& candidate.getNationality().equals("Ukrainian")

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Checklist violation: Use constants instead of magic numbers. The values '35', '10', and 'Ukrainian' should be defined as named constants in this class.

Comment on lines 8 to 9
import model.Candidate;
import model.Person;

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This violates checklist item #5: 'Use constants instead of magic numbers and strings'. The age threshold (35), nationality ("Ukrainian"), and years requirement (10) should be defined as constants in this class.

@mateacademy-ai-mentor mateacademy-ai-mentor left a comment

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Review Summary

Your solution is approved. All six tasks are correctly implemented using Stream API with proper boolean operators, enum comparison via equals(), and appropriate exception handling. The CandidateValidator properly uses named constants (MIN_AGE, MIN_YEARS_IN_UKRAINE, REQUIRED_NATIONALITY) instead of magic numbers/strings, and date parsing is performed efficiently with values reused. All checklist requirements are satisfied and no remaining issues were detected. Great work on addressing the previous review feedback!


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3 participants