feat: strongly typed JSON fields

[ymc9]

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[claude]

Claude finished @ymc9's task —— View job

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PR Review: Strongly Typed JSON Fields

This PR adds support for strongly typed JSON fields using a @json attribute on TypeDef fields. The implementation allows developers to define custom types that are validated at the TypeScript level but stored as JSON in the database.

Implementation Overview

Key Features:

• TypeDef structures can be used as field types with @json annotation
• Strong typing at compile time with runtime validation
• JSON storage with proper serialization/deserialization
• Validation ensures required fields are present while allowing extra properties

Detailed Review

✅ Strengths

1. Well-Architected Type System

• Clean separation between TypeDef definitions and their usage
• Proper integration with existing CRUD type infrastructure in crud-types.ts:474-482
• Good TypeScript inference with TypeDefResult<Schema, T['type']> mapping

2. Comprehensive Implementation

• Covers all CRUD operations (create, read, update, delete)
• Proper validation in validator.ts:221-235 with Zod schemas
• Correct serialization/deserialization in SQLite dialect sqlite.ts:37-40
• Result processing handles JSON parsing result-processor.ts:87-89

3. Good Test Coverage

• Tests both SQLite and PostgreSQL providers
• Covers create, read, update operations with various scenarios
• Tests validation failures for missing required fields
• TypeScript typing verification in verify-typing.ts:300-312

⚠️ Issues & Concerns

1. Security Considerations

• JSON Injection Risk: No explicit sanitization of JSON input before database storage
• Data Validation Gap: Uses z.looseObject() in validator.ts:245, allowing arbitrary extra properties
• Recommendation: Consider stricter validation options or explicit allow-list for extra properties

2. Performance Implications

• JSON Parsing Overhead: Every read operation parses JSON, even for simple fields
• No Indexing Support: Typed JSON fields can't be efficiently indexed or queried
• SQLite String Storage: Forces JSON serialization even for simple objects sqlite.ts:39
• Recommendation: Document performance characteristics and provide guidance on when to use vs. separate tables

3. Incomplete Features

• Missing Query Support: makeTypeDefFilterSchema returns z.never() - no filtering capability validator.ts:449-452
• TODO Comments: JSON filters marked as "Not implemented yet" in crud-types.ts:246
• Limited Database Support: Only tested with SQLite and PostgreSQL
• Recommendation: Either implement filtering or clearly document limitations

4. Code Quality Issues

• Type Assertion: fieldDef.type as BuiltinType could be unsafe if TypeDef types leak through result-processor.ts:64
• Error Handling: JSON parsing errors not gracefully handled in all paths
• Consistency: Mixed approach to checking this.schema.typeDefs && type in this.schema.typeDefs

🔧 Suggested Improvements

1. Security Hardening (packages/runtime/src/client/crud/validator.ts:245)

// Consider replacing z.looseObject with stricter validation
schema = z.strictObject(/* ... */).passthrough(); // More explicit about extra props

2. Performance Optimization (packages/runtime/src/client/result-processor.ts:87-89)

// Add caching for parsed JSON to avoid re-parsing
private jsonCache = new WeakMap<object, any>();

3. Error Handling (packages/runtime/src/client/crud/dialects/sqlite.ts:39)

// Add try-catch for JSON.stringify to handle circular references
try {
    return JSON.stringify(value);
} catch (error) {
    throw new Error(`Failed to serialize typed JSON field: ${error.message}`);
}

4. Documentation

• Add JSDoc comments explaining when to use typed JSON vs. separate models
• Document performance implications and limitations
• Add migration guide for existing JSON fields

📋 Summary

This is a solid implementation of strongly typed JSON fields with good TypeScript integration. The core functionality works well and follows established patterns in the codebase.

Key Concerns:

• Security: JSON validation could be stricter
• Performance: No indexing support and parsing overhead
• Completeness: Missing query/filtering capabilities

Recommendation: ✅ Approve with requested changes

• Address security concerns around input validation
• Complete the filtering implementation or document limitations
• Add performance guidance in documentation

The feature provides significant value for complex JSON structures while maintaining type safety. With the suggested improvements, it would be a valuable addition to ZenStack.

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