Custom Operators in TuskLang with Rust

⚡ Extending TuskLang's Power

TuskLang's @ operator system is just the beginning. With Rust, you can create custom operators that extend the language's capabilities, add domain-specific functionality, and integrate with any external system or API.

🏗️ Operator Architecture

Core Operator System

[operator_system]
base_operators: ["@env", "@date", "@cache", "@learn", "@metrics"]
custom_operators: true
operator_registry: true
hot_reload: true
[operator_lifecycle]
registration: "compile_time"
validation: "runtime"
execution: "async"
cleanup: "automatic"

Operator Interface

[operator_interface]
trait_name: "TuskOperator"
required_methods:
  - "name() -> &'static str"
  - "execute(args: &[Value]) -> Result<Value, OperatorError>"
  - "validate(args: &[Value]) -> Result<(), ValidationError>"
optional_methods:
  - "help() -> &'static str"
  - "examples() -> Vec<&'static str>"
  - "performance_hint() -> PerformanceHint"

🔧 Creating Custom Operators

Basic Operator Template

[custom_operator_template]
name: "my_operator"
syntax: "@my_operator(arg1, arg2, ...)"
return_type: "Value"
error_handling: "Result"
[operator_implementation]
struct MyOperator;
impl TuskOperator for MyOperator {
    fn name(&self) -> &'static str {
        "@my_operator"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        // Operator logic here
        Ok(Value::String("result".to_string()))
    }
    
    fn validate(&self, args: &[Value]) -> Result<(), ValidationError> {
        if args.len() < 1 {
            return Err(ValidationError::InsufficientArguments);
        }
        Ok(())
    }
}

Operator Registration

[operator_registry]
registration_method: "macro_based"
discovery: "automatic"
conflict_resolution: "error_on_duplicate"
[registry_config]
global_operators: true
namespace_support: true
versioning: true

🌐 Web API Operators

HTTP Request Operator

[http_operator]
name: "@http"
methods: ["GET", "POST", "PUT", "DELETE", "PATCH"]
timeout_ms: 5000
retry_attempts: 3
[http_implementation]
struct HttpOperator;
impl TuskOperator for HttpOperator {
    fn name(&self) -> &'static str {
        "@http"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let method = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let url = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        let client = reqwest::Client::new();
        let response = client
            .request(method.as_str()?, url.as_str()?)
            .send()
            .await?;
            
        let body = response.text().await?;
        Ok(Value::String(body))
    }
}

GraphQL Operator

[graphql_operator]
name: "@graphql"
endpoint_config: true
query_caching: true
schema_introspection: true
[graphql_implementation]
struct GraphQLOperator;
impl TuskOperator for GraphQLOperator {
    fn name(&self) -> &'static str {
        "@graphql"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let endpoint = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let query = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        let client = reqwest::Client::new();
        let response = client
            .post(endpoint.as_str()?)
            .json(&serde_json::json!({
                "query": query.as_str()?
            }))
            .send()
            .await?;
            
        let result = response.json::<serde_json::Value>().await?;
        Ok(Value::from(result))
    }
}

🗄️ Database Operators

SQL Query Operator

[sql_operator]
name: "@sql"
databases: ["postgresql", "mysql", "sqlite", "mongodb"]
connection_pooling: true
query_caching: true
[sql_implementation]
struct SqlOperator;
impl TuskOperator for SqlOperator {
    fn name(&self) -> &'static str {
        "@sql"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let connection_string = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let query = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        let pool = PgPoolOptions::new()
            .max_connections(5)
            .connect(connection_string.as_str()?)
            .await?;
            
        let rows = sqlx::query(query.as_str()?)
            .fetch_all(&pool)
            .await?;
            
        let results: Vec<serde_json::Value> = rows
            .iter()
            .map(|row| serde_json::to_value(row).unwrap())
            .collect();
            
        Ok(Value::from(results))
    }
}

Redis Operator

[redis_operator]
name: "@redis"
operations: ["get", "set", "del", "incr", "expire"]
connection_pooling: true
serialization: "json"
[redis_implementation]
struct RedisOperator;
impl TuskOperator for RedisOperator {
    fn name(&self) -> &'static str {
        "@redis"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let operation = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let key = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        let client = redis::Client::open("redis://127.0.0.1/")?;
        let mut con = client.get_connection()?;
        
        match operation.as_str()? {
            "get" => {
                let value: String = redis::cmd("GET").arg(key.as_str()?).query(&mut con)?;
                Ok(Value::String(value))
            }
            "set" => {
                let value = args.get(2).ok_or(OperatorError::MissingArgument)?;
                redis::cmd("SET").arg(key.as_str()?).arg(value.as_str()?).execute(&mut con);
                Ok(Value::Bool(true))
            }
            _ => Err(OperatorError::InvalidOperation)
        }
    }
}

🤖 AI and ML Operators

Machine Learning Operator

[ml_operator]
name: "@ml"
models: ["tensorflow", "pytorch", "onnx"]
inference: true
training: true
[ml_implementation]
struct MlOperator;
impl TuskOperator for MlOperator {
    fn name(&self) -> &'static str {
        "@ml"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let operation = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let model_path = args.get(1).ok_or(OperatorError::MissingArgument)?;
        let input_data = args.get(2).ok_or(OperatorError::MissingArgument)?;
        
        match operation.as_str()? {
            "predict" => {
                let model = tract_onnx::simple_plan(&model_path.as_str()?)?;
                let input = tract_ndarray::Array::from_vec(input_data.as_array()?);
                let output = model.run(tvec!(input.into()))?;
                Ok(Value::from(output[0].to_array_view()?.to_vec()))
            }
            "train" => {
                // Training logic
                Ok(Value::Bool(true))
            }
            _ => Err(OperatorError::InvalidOperation)
        }
    }
}

Natural Language Processing Operator

[nlp_operator]
name: "@nlp"
operations: ["tokenize", "embed", "classify", "summarize"]
models: ["bert", "gpt", "t5"]
language_support: ["en", "es", "fr", "de"]
[nlp_implementation]
struct NlpOperator;
impl TuskOperator for NlpOperator {
    fn name(&self) -> &'static str {
        "@nlp"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let operation = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let text = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        match operation.as_str()? {
            "tokenize" => {
                let tokens = text.as_str()?.split_whitespace().collect::<Vec<_>>();
                Ok(Value::from(tokens))
            }
            "embed" => {
                // Embedding logic using rust-bert
                let embeddings = vec![0.1, 0.2, 0.3]; // Placeholder
                Ok(Value::from(embeddings))
            }
            "classify" => {
                // Classification logic
                let classification = "positive";
                Ok(Value::String(classification.to_string()))
            }
            _ => Err(OperatorError::InvalidOperation)
        }
    }
}

🔐 Security Operators

Encryption Operator

[encryption_operator]
name: "@encrypt"
algorithms: ["aes_256_gcm", "chacha20_poly1305", "rsa_2048"]
key_management: true
secure_random: true
[encryption_implementation]
struct EncryptionOperator;
impl TuskOperator for EncryptionOperator {
    fn name(&self) -> &'static str {
        "@encrypt"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let algorithm = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let data = args.get(1).ok_or(OperatorError::MissingArgument)?;
        let key = args.get(2).ok_or(OperatorError::MissingArgument)?;
        
        match algorithm.as_str()? {
            "aes_256_gcm" => {
                use aes_gcm::{Aes256Gcm, Key, Nonce};
                use aes_gcm::aead::{Aead, NewAead};
                
                let cipher = Aes256Gcm::new_from_slice(key.as_bytes()?)?;
                let nonce = Nonce::from_slice(b"unique nonce");
                let ciphertext = cipher.encrypt(nonce, data.as_bytes()?.as_ref())?;
                
                Ok(Value::from(base64::encode(ciphertext)))
            }
            _ => Err(OperatorError::InvalidAlgorithm)
        }
    }
}

Authentication Operator

[auth_operator]
name: "@auth"
methods: ["jwt", "oauth2", "api_key", "basic"]
token_validation: true
user_management: true
[auth_implementation]
struct AuthOperator;
impl TuskOperator for AuthOperator {
    fn name(&self) -> &'static str {
        "@auth"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let method = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let credentials = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        match method.as_str()? {
            "jwt" => {
                let token = credentials.as_str()?;
                let validation = jsonwebtoken::decode::<Claims>(
                    token,
                    &jsonwebtoken::DecodingKey::from_secret("secret".as_ref()),
                    &jsonwebtoken::Validation::default()
                )?;
                
                Ok(Value::from(validation.claims))
            }
            "oauth2" => {
                // OAuth2 validation logic
                Ok(Value::Bool(true))
            }
            _ => Err(OperatorError::InvalidMethod)
        }
    }
}

📊 Analytics Operators

Metrics Operator

[metrics_operator]
name: "@metrics"
backends: ["prometheus", "influxdb", "datadog"]
aggregation: true
alerting: true
[metrics_implementation]
struct MetricsOperator;
impl TuskOperator for MetricsOperator {
    fn name(&self) -> &'static str {
        "@metrics"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let metric_name = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let value = args.get(1).ok_or(OperatorError::MissingArgument)?;
        let labels = args.get(2);
        
        let registry = prometheus::Registry::new();
        let counter = prometheus::Counter::new(
            metric_name.as_str()?,
            "Metric description"
        )?;
        
        registry.register(Box::new(counter.clone()))?;
        counter.inc_by(value.as_f64()?);
        
        Ok(Value::Bool(true))
    }
}

Logging Operator

[logging_operator]
name: "@log"
levels: ["trace", "debug", "info", "warn", "error"]
formatters: ["json", "text", "structured"]
destinations: ["file", "stdout", "syslog"]
[logging_implementation]
struct LoggingOperator;
impl TuskOperator for LoggingOperator {
    fn name(&self) -> &'static str {
        "@log"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let level = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let message = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        match level.as_str()? {
            "info" => info!("{}", message.as_str()?),
            "warn" => warn!("{}", message.as_str()?),
            "error" => error!("{}", message.as_str()?),
            "debug" => debug!("{}", message.as_str()?),
            "trace" => trace!("{}", message.as_str()?),
            _ => return Err(OperatorError::InvalidLevel)
        }
        
        Ok(Value::Bool(true))
    }
}

🔄 Workflow Operators

Pipeline Operator

[pipeline_operator]
name: "@pipeline"
stages: ["map", "filter", "reduce", "group"]
parallel_execution: true
error_handling: true
[pipeline_implementation]
struct PipelineOperator;
impl TuskOperator for PipelineOperator {
    fn name(&self) -> &'static str {
        "@pipeline"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let data = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let operations = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        let mut result = data.as_array()?;
        
        for operation in operations.as_array()? {
            let op_type = operation.get("type").ok_or(OperatorError::MissingArgument)?;
            let op_func = operation.get("function").ok_or(OperatorError::MissingArgument)?;
            
            match op_type.as_str()? {
                "map" => {
                    result = result.iter()
                        .map(|item| self.apply_function(op_func, item))
                        .collect::<Result<Vec<_>, _>>()?;
                }
                "filter" => {
                    result = result.into_iter()
                        .filter(|item| self.apply_function(op_func, item)?.as_bool()?)
                        .collect();
                }
                _ => return Err(OperatorError::InvalidOperation)
            }
        }
        
        Ok(Value::from(result))
    }
}

Conditional Operator

[conditional_operator]
name: "@if"
syntax: "@if(condition, true_value, false_value)"
short_circuit: true
lazy_evaluation: true
[conditional_implementation]
struct ConditionalOperator;
impl TuskOperator for ConditionalOperator {
    fn name(&self) -> &'static str {
        "@if"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let condition = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let true_value = args.get(1).ok_or(OperatorError::MissingArgument)?;
        let false_value = args.get(2).ok_or(OperatorError::MissingArgument)?;
        
        if condition.as_bool()? {
            Ok(true_value.clone())
        } else {
            Ok(false_value.clone())
        }
    }
}

🎨 Custom Syntax Operators

Template Operator

[template_operator]
name: "@template"
syntax: "@template(template_string, variables)"
interpolation: true
escaping: true
[template_implementation]
struct TemplateOperator;
impl TuskOperator for TemplateOperator {
    fn name(&self) -> &'static str {
        "@template"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let template = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let variables = args.get(1).ok_or(OperatorError::MissingArgument)?;
        
        let mut result = template.as_str()?.to_string();
        
        for (key, value) in variables.as_object()? {
            let placeholder = format!("{{{{{}}}}}", key);
            result = result.replace(&placeholder, &value.to_string());
        }
        
        Ok(Value::String(result))
    }
}

Regex Operator

[regex_operator]
name: "@regex"
operations: ["match", "replace", "extract", "split"]
flags: ["case_insensitive", "multiline", "dot_all"]
[regex_implementation]
struct RegexOperator;
impl TuskOperator for RegexOperator {
    fn name(&self) -> &'static str {
        "@regex"
    }
    
    fn execute(&self, args: &[Value]) -> Result<Value, OperatorError> {
        let operation = args.get(0).ok_or(OperatorError::MissingArgument)?;
        let pattern = args.get(1).ok_or(OperatorError::MissingArgument)?;
        let text = args.get(2).ok_or(OperatorError::MissingArgument)?;
        
        let regex = Regex::new(pattern.as_str()?)?;
        
        match operation.as_str()? {
            "match" => {
                let is_match = regex.is_match(text.as_str()?);
                Ok(Value::Bool(is_match))
            }
            "replace" => {
                let replacement = args.get(3).ok_or(OperatorError::MissingArgument)?;
                let result = regex.replace_all(text.as_str()?, replacement.as_str()?);
                Ok(Value::String(result.to_string()))
            }
            "extract" => {
                let captures: Vec<String> = regex.captures_iter(text.as_str()?)
                    .map(|cap| cap[0].to_string())
                    .collect();
                Ok(Value::from(captures))
            }
            _ => Err(OperatorError::InvalidOperation)
        }
    }
}

🚀 Performance Optimization

Operator Caching

[operator_caching]
enabled: true
cache_size: 1000
ttl_seconds: 300
invalidation: "lru"
[cache_config]
memory_based: true
disk_backed: false
compression: true

Async Execution

[async_execution]
runtime: "tokio"
concurrency: "unbounded"
timeout_ms: 5000
[async_config]
spawn_blocking: true
yield_now: true
cooperative_cancellation: true

🔧 Testing Custom Operators

Unit Testing

[operator_testing]
framework: "criterion"
benchmarking: true
property_testing: true
[test_config]
test_operators:
  - "http_operator"
  - "sql_operator"
  - "ml_operator"
  - "encryption_operator"
[test_examples]
http_test:
  input: ["GET", "https://api.example.com/data"]
  expected: "json_response"
  
sql_test:
  input: ["postgresql://localhost/db", "SELECT * FROM users"]
  expected: "user_data_array"

Integration Testing

[integration_testing]
test_environment: "docker"
external_services: ["postgresql", "redis", "httpbin"]
cleanup: "automatic"
[test_scenarios]
api_integration:
  setup: "start_mock_server"
  test: "http_operator_requests"
  teardown: "stop_mock_server"
  
database_integration:
  setup: "create_test_database"
  test: "sql_operator_queries"
  teardown: "drop_test_database"

📚 Operator Documentation

Auto-Generated Documentation

[operator_docs]
generation: "automatic"
format: "markdown"
examples: true
performance_notes: true
[doc_config]
include_signatures: true
include_examples: true
include_performance: true
include_security: true

🎯 Best Practices

1. Operator Design

- Keep operators focused and single-purpose - Use clear, descriptive names - Implement proper error handling - Provide comprehensive documentation

2. Performance

- Use async execution for I/O operations - Implement caching where appropriate - Optimize for common use cases - Monitor resource usage

3. Security

- Validate all inputs - Sanitize user data - Use secure defaults - Implement proper access controls

4. Testing

- Write comprehensive unit tests - Include integration tests - Test error conditions - Benchmark performance

5. Documentation

- Provide clear examples - Document all parameters - Include performance characteristics - Add security considerations

Custom operators in TuskLang with Rust enable you to extend the language's capabilities in powerful ways, creating domain-specific functionality that integrates seamlessly with your applications.