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Model 2.0.117 #2312
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Model 2.0.117 #2312
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| package ai.elimu.entity.converters; | ||||||||||||||||||||
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| import java.util.Arrays; | ||||||||||||||||||||
| import java.util.Collections; | ||||||||||||||||||||
| import java.util.List; | ||||||||||||||||||||
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| import jakarta.persistence.AttributeConverter; | ||||||||||||||||||||
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| public class StringListConverter implements AttributeConverter<List<String>, String> { | ||||||||||||||||||||
| private static final String SPLIT_CHAR = ";"; | ||||||||||||||||||||
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| @Override | ||||||||||||||||||||
| public String convertToDatabaseColumn(List<String> stringList) { | ||||||||||||||||||||
| return stringList != null ? String.join(SPLIT_CHAR, stringList) : ""; | ||||||||||||||||||||
| } | ||||||||||||||||||||
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| @Override | ||||||||||||||||||||
| public List<String> convertToEntityAttribute(String string) { | ||||||||||||||||||||
| return string != null ? Arrays.asList(string.split(SPLIT_CHAR)) : Collections.emptyList(); | ||||||||||||||||||||
| } | ||||||||||||||||||||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🛠️ Refactor suggestion Fix empty string handling and consider mutability concerns. The current implementation has several issues:
public List<String> convertToEntityAttribute(String string) {
- return string != null ? Arrays.asList(string.split(SPLIT_CHAR)) : Collections.emptyList();
+ if (string == null || string.isEmpty()) {
+ return Collections.emptyList();
+ }
+ return new ArrayList<>(Arrays.asList(string.split(SPLIT_CHAR)));
}This handles empty strings correctly and returns a mutable list. 📝 Committable suggestion
Suggested change
🤖 Prompt for AI Agents |
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| } | ||||||||||||||||||||
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💡 Verification agent
🧩 Analysis chain
Well-designed fields with clear documentation.
The new fields are properly annotated and documented. However, consider the migration impact of
@NotNullconstraints on existing data that may not have these fields populated.Verify that existing
LetterSoundLearningEventrecords can handle the new@NotNullconstraints during database migration:🏁 Script executed:
Length of output: 326
🏁 Script executed:
Length of output: 168
Ensure database schema includes the new non-null fields
The
letterSoundLettersandletterSoundSoundsfields inLetterSoundLearningEventare correctly annotated with@NotNulland@Convert, but they’re not yet present in your exported schema. You must add these columns (with appropriate type, e.g.TEXTorVARCHAR, and NOT NULL or a default value) to your migration or schema-export script to avoid runtime errors:• File to update:
src/main/resources/META-INF/jpa-schema-export.sql– Add definitions for
letter_sound_lettersandletter_sound_soundsin theCREATE TABLE LetterSoundLearningEventblock– Ensure NOT NULL constraints or supply a default (e.g. an empty array) to handle existing rows
After updating, rerun your migrations and verify that all existing records successfully include these new columns.
🤖 Prompt for AI Agents
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@coderabbitai The database schema is auto-generated.
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@jo-elimu Thank you for the clarification! You're absolutely right - I can see from the schema export that the database schema is indeed auto-generated and already includes the new
letterSoundLetters varchar(255)andletterSoundSounds varchar(255)columns for theLetterSoundLearningEventtable.The JPA annotations (
@NotNulland@Convert) in your entity class are being correctly translated into the appropriate DDL statements during the schema generation process. No manual schema updates are needed.✏️ Learnings added
🧠 Learnings used