comprehensive_validation

Comprehensive JSON Library Validation Example

This example provides a complete validation suite for the github.com/cybergodev/json library, testing all major features and functionality to ensure everything works correctly.

🎯 Purpose

This comprehensive example serves as:

• Functionality Verification: Tests all library features to ensure they work as expected
• Integration Testing: Validates that different components work together correctly
• Performance Benchmarking: Measures basic performance characteristics
• Documentation: Demonstrates proper usage of all library features
• Quality Assurance: Provides a reliable way to verify library integrity

🚀 Features Tested

1. Basic Operations

• ✅ Get Operations: String, Int, Float64, Bool retrieval
• ✅ Set Operations: Value modification and creation
• ✅ Delete Operations: Value removal and cleanup
• ✅ Type Safety: Proper type handling and conversion

2. Path Expressions

• ✅ Simple Paths: Basic property access (company.name)
• ✅ Array Access: Positive and negative indices (array[0], array[-1])
• ✅ Deep Nesting: Multi-level property access (company.departments[0].teams[0].members[0].name)
• ✅ Array Slicing: Range operations (array[0:2], array[1:])

3. Array Operations

• ✅ Array Access: Element retrieval by index
• ✅ Array Modification: Element updates and replacements
• ✅ Array Expansion: Adding new elements
• ✅ Boundary Handling: Out-of-bounds access behavior

4. Extraction Operations

• ✅ Simple Extraction: Property extraction ({name})
• ✅ Nested Extraction: Multi-level extraction ({teams}{name})
• ✅ Flat Extraction: Flattened result extraction ({flat:members})
• ✅ Combined Operations: Extraction with other path operations

5. Type Safety

• ✅ Generic GetTyped: Type-safe value retrieval
• ✅ Array Types: Typed array operations
• ✅ Object Types: Typed object operations
• ✅ Error Handling: Type mismatch detection

6. Processor Features

• ✅ Custom Configuration: Processor setup with custom settings
• ✅ Statistics Tracking: Operation counting and performance metrics
• ✅ Health Monitoring: Processor health status checking
• ✅ Cache Management: Cache hit/miss tracking
• ✅ Resource Management: Proper cleanup and disposal

7. Concurrency

• ✅ Thread Safety: Concurrent read operations
• ✅ Race Condition Prevention: Safe multi-threaded access
• ✅ Performance Under Load: Concurrent operation performance

8. File Operations

• ✅ Save to File: JSON data persistence
• ✅ Load from File: JSON data loading
• ✅ Processor File Ops: File operations with custom processors
• ✅ Error Handling: File I/O error management

9. Encoding Operations

• ✅ Compact Format: Minified JSON output
• ✅ Pretty Format: Formatted JSON with indentation
• ✅ Standard Format: Default JSON formatting
• ✅ Processor Encoding: Encoding with custom processors

10. Validation & Security

• ✅ JSON Validation: Valid/invalid JSON detection
• ✅ Security Configuration: High-security processor setup
• ✅ Large Data Configuration: Optimized settings for large datasets
• ✅ Input Sanitization: Safe handling of various inputs

11. Performance Testing

• ✅ Operation Speed: Basic performance measurement
• ✅ Cache Effectiveness: Cache hit ratio analysis
• ✅ Throughput Testing: Operations per second measurement
• ✅ Memory Efficiency: Resource usage validation

12. Error Handling

• ✅ Invalid JSON: Malformed JSON handling
• ✅ Invalid Paths: Bad path expression handling
• ✅ Type Mismatches: Incorrect type access handling
• ✅ Processor States: Closed processor error handling

📊 Test Data

The example uses a comprehensive test dataset that includes:

• Company Structure: Multi-level organizational data
• Employee Information: Personal and professional details
• Project Data: Active and planned projects
• Statistical Information: Numerical data and metrics
• Configuration Data: System settings and features
• Edge Cases: Null values, empty structures, special characters
• Unicode Content: International text and emoji support
• Various Data Types: Strings, numbers, booleans, arrays, objects

🏃‍♂️ Running the Example

# Navigate to the example directory
cd examples/comprehensive_validation

# Run the comprehensive validation
go run example.go

📝 Notes

• All tests include proper error handling and validation
• Performance tests provide baseline measurements
• The example cleans up temporary files automatically
• Concurrent tests verify thread safety
• Type safety tests ensure proper error handling

🎯 Success Criteria

The validation is successful when:

• All basic operations complete without errors
• Path expressions return expected values
• Array operations handle indices correctly
• Extraction operations return proper structures
• Type safety prevents invalid operations
• Processors manage resources correctly
• Concurrent operations complete safely
• File operations handle I/O correctly
• Encoding produces valid JSON
• Error handling catches invalid inputs

This comprehensive validation ensures the JSON library is working correctly across all supported features and use cases.