JSON

The JSON module provides comprehensive JSON (JavaScript Object Notation) capabilities for Soul, including parsing, serialization, and validation. It offers both Soul-style and JavaScript-style aliases for familiar API usage.

Parsing JSON

decode / parse - Parse JSON string to object

Parse a JSON string into Soul objects (maps or lists):

// Using decode (Soul-style)
jsonString = '{"name": "Alice", "age": 30, "active": true}'
data = JSON.decode(jsonString)
println(data.name)     // "Alice"
println(data.age)      // 30
println(data.active)   // true

// Using parse (JavaScript-style alias)
arrayJson = '[1, 2, 3, 4, 5]'
numbers = JSON.parse(arrayJson)
println(numbers)       // [1, 2, 3, 4, 5]

Parsing Complex Structures

Parse nested JSON structures:

complexJson = '{
    "user": {
        "id": 123,
        "profile": {
            "name": "Bob",
            "email": "bob@example.com"
        }
    },
    "scores": [85, 92, 78],
    "active": true
}'

data = JSON.decode(complexJson)
println(data.user.profile.name)  // "Bob"
println(data.scores[1])          // 92

Serialization

encode / stringify - Convert object to JSON string

Convert Soul objects (maps or lists) to JSON strings:

// Using encode (Soul-style)
user = {
    name: "Charlie",
    age: 25,
    hobbies: ["reading", "gaming", "coding"]
}
jsonString = JSON.encode(user)
println(jsonString)  // {"age":25,"hobbies":["reading","gaming","coding"],"name":"Charlie"}

// Using stringify (JavaScript-style alias)
numbers = [1, 2, 3, 4, 5]
jsonArray = JSON.stringify(numbers)
println(jsonArray)   // [1,2,3,4,5]

Serializing Complex Objects

Serialize nested structures:

data = {
    timestamp: "2024-01-01T12:00:00Z",
    metrics: {
        cpu: 45.5,
        memory: 78.2,
        disk: 60.0
    },
    tags: ["production", "server-01"],
    healthy: true
}

jsonOutput = JSON.encode(data)
println(jsonOutput)
// {"healthy":true,"metrics":{"cpu":45.5,"disk":60,"memory":78.2},"tags":["production","server-01"],"timestamp":"2024-01-01T12:00:00Z"}

Validation

isValid - Check if string is valid JSON

Validate whether a string contains valid JSON:

// Valid JSON
validJson = '{"key": "value"}'
isValid = JSON.isValid(validJson)
println(isValid)     // true

// Invalid JSON
invalidJson = '{key: value}'  // Missing quotes
isValid = JSON.isValid(invalidJson)
println(isValid)     // false

// Empty string
isValid = JSON.isValid("")
println(isValid)     // false

// Valid array JSON
arrayJson = '[1, 2, 3]'
isValid = JSON.isValid(arrayJson)
println(isValid)     // true

Data Type Handling

Supported Data Types

The JSON module handles all standard JSON data types:

// All JSON data types
data = {
    string: "Hello, World!",
    number: 42.5,
    integer: 100,
    boolean: true,
    null: null,
    array: [1, "two", 3.0, false],
    object: {
        nested: "value"
    }
}

// Encode to JSON
json = JSON.encode(data)

// Decode back
decoded = JSON.decode(json)
println(decoded.string)    // "Hello, World!"
println(decoded.number)    // 42.5
println(decoded.boolean)   // true
println(decoded.null)      // null

Map Key Conversion

When encoding maps, different key types are converted to strings:

// String keys (standard)
stringMap = {
    "key1": "value1",
    "key2": "value2"
}

// Number keys (converted to strings)
numberMap = {
    1: "first",
    2: "second"
}

// Boolean keys (converted to strings)
boolMap = {
    true: "yes",
    false: "no"
}

println(JSON.encode(stringMap))  // {"key1":"value1","key2":"value2"}
println(JSON.encode(numberMap))  // {"1":"first","2":"second"}
println(JSON.encode(boolMap))    // {"false":"no","true":"yes"}

Error Handling

Parsing Errors

Handle JSON parsing errors gracefully:

soul safeJsonParse(jsonString) {
    result = JSON.decode(jsonString)
    
    // Check if result is an error
    if (result.type() == "ERROR") {
        println("Failed to parse JSON: " + result)
        return null
    }
    
    return result
}

// Test with invalid JSON
invalidJson = '{"name": "Alice", "age": }'  // Invalid - missing value
parsed = safeJsonParse(invalidJson)
if (parsed == null) {
    println("Handling invalid JSON...")
}

Encoding Errors

Handle encoding errors for unsupported types:

soul safeJsonEncode(data) {
    result = JSON.encode(data)
    
    if (result.type() == "ERROR") {
        println("Failed to encode JSON: " + result)
        return null
    }
    
    return result
}

// Only LIST and MAP types can be encoded
validData = {key: "value"}
encoded = safeJsonEncode(validData)
println(encoded)  // {"key":"value"}

Practical Examples

Configuration File Handling

soul loadConfig(filename) {
    // Read JSON configuration file
    content = File.read(filename)
    
    if (!JSON.isValid(content)) {
        println("Invalid configuration file")
        return null
    }
    
    config = JSON.decode(content)
    return config
}

soul saveConfig(config, filename) {
    // Serialize configuration to JSON
    jsonContent = JSON.encode(config)
    File.write(filename, jsonContent)
    return true
}

// Usage
config = {
    server: {
        host: "localhost",
        port: 8080,
        ssl: false
    },
    database: {
        url: "postgres://localhost/mydb",
        pool_size: 10
    },
    features: ["auth", "api", "websocket"]
}

saveConfig(config, "app.config.json")
loaded = loadConfig("app.config.json")

API Response Handling

soul parseApiResponse(responseBody) {
    // Validate response
    if (!JSON.isValid(responseBody)) {
        return {
            success: false,
            error: "Invalid JSON response"
        }
    }
    
    // Parse response
    data = JSON.decode(responseBody)
    
    // Process based on structure
    if (data.status == "success") {
        return {
            success: true,
            data: data.result
        }
    } else {
        return {
            success: false,
            error: data.message || "Unknown error"
        }
    }
}

// Example API response
apiResponse = '{"status": "success", "result": {"id": 123, "name": "Product"}}'
result = parseApiResponse(apiResponse)
if (result.success) {
    println("Got data: " + JSON.encode(result.data))
}

Data Transformation Pipeline

soul transformJsonData(jsonInput) {
    // Parse input
    data = JSON.decode(jsonInput)
    
    // Transform data
    transformed = {
        id: data.id,
        fullName: data.firstName + " " + data.lastName,
        email: data.email.toLowerCase(),
        active: data.status == "active",
        metadata: {
            created: data.createdAt,
            updated: Date.now(),
            version: 2
        }
    }
    
    // Return as JSON
    return JSON.encode(transformed)
}

// Input JSON
input = '{
    "id": 456,
    "firstName": "John",
    "lastName": "Doe",
    "email": "JOHN.DOE@EXAMPLE.COM",
    "status": "active",
    "createdAt": "2024-01-01"
}'

output = transformJsonData(input)
println(output)

Working with JSON Arrays

soul processJsonArray(jsonArray) {
    // Parse JSON array
    items = JSON.decode(jsonArray)
    
    // Process each item
    processed = Array.map(items, soul(item) {
        return {
            id: item.id,
            name: item.name.toUpperCase(),
            value: item.price * item.quantity
        }
    })
    
    // Calculate totals
    total = Array.reduce(processed, soul(sum, item) {
        return sum + item.value
    }, 0)
    
    // Return result as JSON
    result = {
        items: processed,
        total: total,
        count: Array.length(processed)
    }
    
    return JSON.encode(result)
}

// Example usage
products = '[
    {"id": 1, "name": "Apple", "price": 0.5, "quantity": 10},
    {"id": 2, "name": "Banana", "price": 0.3, "quantity": 15},
    {"id": 3, "name": "Orange", "price": 0.7, "quantity": 8}
]'

result = processJsonArray(products)
println(result)

JSON Validation Workflow

soul validateJsonSchema(json, requiredFields) {
    // First check if valid JSON
    if (!JSON.isValid(json)) {
        return {valid: false, error: "Invalid JSON format"}
    }
    
    // Parse JSON
    data = JSON.decode(json)
    
    // Check if it's an object (map)
    if (data.type() != "MAP") {
        return {valid: false, error: "JSON must be an object"}
    }
    
    // Validate required fields
    missing = []
    Array.forEach(requiredFields, soul(field) {
        if (!data.hasKey(field)) {
            Array.push(missing, field)
        }
    })
    
    if (Array.length(missing) > 0) {
        return {
            valid: false, 
            error: "Missing required fields: " + Array.join(missing, ", ")
        }
    }
    
    return {valid: true, data: data}
}

// Test validation
userJson = '{"name": "Alice", "email": "alice@example.com"}'
required = ["name", "email", "age"]

validation = validateJsonSchema(userJson, required)
if (!validation.valid) {
    println("Validation failed: " + validation.error)
}

Best Practices

Always validate before parsing: Use isValid() to check JSON validity before parsing
Handle errors gracefully: Check for ERROR types when parsing or encoding
Use appropriate aliases: Choose decode/encode or parse/stringify based on your preference
Be aware of type limitations: Only LIST and MAP types can be encoded to JSON
Consider memory usage: Large JSON strings can consume significant memory

// Good - validate before parsing
soul parseJsonSafely(jsonString) {
    if (!JSON.isValid(jsonString)) {
        return null
    }
    return JSON.decode(jsonString)
}

// Good - handle different input types
soul toJson(data) {
    type = data.type()
    if (type != "LIST" && type != "MAP") {
        // Wrap in a map if not directly serializable
        return JSON.encode({value: data})
    }
    return JSON.encode(data)
}

// Good - parse with default values
soul parseWithDefaults(jsonString, defaults) {
    if (!JSON.isValid(jsonString)) {
        return defaults
    }
    
    parsed = JSON.decode(jsonString)
    // Merge with defaults
    result = {}
    for (key in defaults) {
        result[key] = parsed[key] || defaults[key]
    }
    return result
}

The JSON module provides essential tools for working with JSON data in Soul, enabling seamless integration with APIs, configuration files, and data exchange formats commonly used in modern applications.

CLI Usage

Modules

Syntaxes

JSON

JSON

Parsing JSON

decode / parse - Parse JSON string to object

Parsing Complex Structures

Serialization

encode / stringify - Convert object to JSON string

Serializing Complex Objects

Validation

isValid - Check if string is valid JSON

Data Type Handling

Supported Data Types

Map Key Conversion

Error Handling

Parsing Errors

Encoding Errors

Practical Examples

Configuration File Handling

API Response Handling

Data Transformation Pipeline

Working with JSON Arrays

JSON Validation Workflow

Best Practices

CLI Usage

Modules

Syntaxes

​JSON

​Parsing JSON

​decode / parse - Parse JSON string to object

​Parsing Complex Structures

​Serialization

​encode / stringify - Convert object to JSON string

​Serializing Complex Objects

​Validation

​isValid - Check if string is valid JSON

​Data Type Handling

​Supported Data Types

​Map Key Conversion

​Error Handling

​Parsing Errors

​Encoding Errors

​Practical Examples

​Configuration File Handling

​API Response Handling

​Data Transformation Pipeline

​Working with JSON Arrays

​JSON Validation Workflow

​Best Practices

JSON

Parsing JSON

decode / parse - Parse JSON string to object

Parsing Complex Structures

Serialization

encode / stringify - Convert object to JSON string

Serializing Complex Objects

Validation

isValid - Check if string is valid JSON

Data Type Handling

Supported Data Types

Map Key Conversion

Error Handling

Parsing Errors

Encoding Errors

Practical Examples

Configuration File Handling

API Response Handling

Data Transformation Pipeline

Working with JSON Arrays

JSON Validation Workflow

Best Practices