The Scripting Framework provides a geometric-aware meta-programming system that generates and executes code following sacred geometry principles. It enables the orchestrator to dynamically create, modify, and deploy scripts across the tetrahedral node network while maintaining fractal consistency and golden ratio optimization.
Purpose: Generate code artifacts that embody geometric principles through template-based meta-programming.
- bash runtime: call any language redundant process action (just files)
- python runtime:
- cw-orhcestrator macros: for suite integration
Sacred Geometry Integration:
- Fractal Template Hierarchy: Script templates inherit self-similar structure at every level
- Golden Ratio Optimization: Resource allocation within generated scripts follows 61.8/38.2 split
/// Script generation with geometric constraints
#[derive(Debug, Clone)]
pub struct ScriptGenerationEngine<E>
where
E: commonware_runtime::Network + commonware_runtime::Storage + Clone,
{
pub engine_id: String,
pub template_library: FractalTemplateLibrary,
pub golden_ratio_optimizer: GoldenRatioOptimizer,
pub tetrahedral_distributor: TetrahedralDistributor,
pub geometric_validators: Vec<GeometricValidator>,
pub meta_prompt_engine: MetaPromptEngine<E>,
}
#[derive(Debug, Clone)]
pub struct ScriptTemplate {
pub template_id: String,
pub name: String,
pub language: ScriptLanguage,
pub fractal_level: u8,
pub geometric_metadata: GeometricMetadata,
pub template_source: String,
pub golden_ratio_sections: GoldenRatioSections,
pub tetrahedral_distribution_hints: Vec<NodeType>,
}
#[derive(Debug, Clone)]
pub struct GoldenRatioSections {
pub fast_path_percentage: f64, // Should be ~0.618
pub slow_path_percentage: f64, // Should be ~0.382
pub fast_path_templates: Vec<String>,
pub slow_path_templates: Vec<String>,
}
impl<E> ScriptGenerationEngine<E> {
pub async fn generate_script(
&mut self,
generation_request: ScriptGenerationRequest,
) -> HoResult<GeneratedScript, ScriptingError> {
// Select appropriate template using fractal matching
let base_template = self.select_fractal_template(&generation_request).await?;
// Apply golden ratio optimization to script structure
let optimized_sections = self.golden_ratio_optimizer
.optimize_script_sections(&base_template, &generation_request)
.await?;
// Generate context-aware script using meta-prompts
let script_content = self.meta_prompt_engine
.generate_with_geometry(
&base_template,
&optimized_sections,
&generation_request,
)
.await?;
// Validate geometric compliance
self.validate_script_geometry(&script_content).await?;
// Plan tetrahedral deployment
let deployment_plan = self.tetrahedral_distributor
.plan_script_deployment(&script_content, &generation_request.target_nodes)
.await?;
Ok(GeneratedScript {
script_id: self.generate_script_id(),
content: script_content,
template_used: base_template,
golden_ratio_compliance: optimized_sections.calculate_compliance(),
deployment_plan,
geometric_validation: self.create_validation_report(&script_content),
})
}
async fn select_fractal_template(
&self,
request: &ScriptGenerationRequest,
) -> HoResult<ScriptTemplate, ScriptingError> {
// Use fractal matching to find template at appropriate level
let matching_templates = self.template_library
.find_fractal_matches(&request.requirements, request.complexity_level);
if matching_templates.is_empty() {
// Generate new template using fractal decomposition
return self.generate_fractal_template(request).await;
}
// Select template with best geometric fit
let selected = self.select_best_geometric_match(&matching_templates, request)?;
Ok(selected)
}
async fn validate_script_geometry(
&self,
script: &ScriptContent,
) -> HoResult<(), ScriptingError> {
// Validate golden ratio distribution
let sections = script.analyze_sections();
let fast_ratio = sections.fast_section_size as f64 / script.total_size() as f64;
if (fast_ratio - 0.618).abs() > 0.05 {
return Err(ScriptingError::GoldenRatioViolation(fast_ratio));
}
// Validate fractal consistency
for level in 0..script.max_nesting_level() {
if !script.validates_fractal_consistency_at_level(level) {
return Err(ScriptingError::FractalConsistencyViolation(level));
}
}
// Validate tetrahedral compatibility
if !script.supports_all_node_types() {
return Err(ScriptingError::TetrahedralIncompatibility);
}
Ok(())
}
}Purpose: Execute scripts across the tetrahedral network while maintaining geometric constraints and safety guarantees.
/// Dynamic execution environment with geometric constraints
#[derive(Debug, Clone)]
pub struct DynamicExecutionEnvironment<E>
where
E: commonware_runtime::Network
+ commonware_runtime::Storage
+ commonware_runtime::Spawner
+ Clone,
{
pub environment_id: String,
pub sandbox_manager: SandboxManager,
pub tetrahedral_scheduler: TetrahedralScheduler<E>,
pub resource_governor: GoldenRatioResourceGovernor,
pub execution_monitor: GeometricExecutionMonitor,
pub mobius_feedback_loop: MobiusFeedbackLoop<E>,
}
#[derive(Debug, Clone)]
pub struct ExecutionContext {
pub context_id: String,
pub target_node_type: NodeType,
pub allocated_resources: GoldenRatioAllocation,
pub geometric_constraints: GeometricConstraints,
pub sandbox_config: SandboxConfiguration,
pub monitoring_config: MonitoringConfiguration,
}
impl<E> DynamicExecutionEnvironment<E> {
pub async fn execute_script(
&mut self,
script: GeneratedScript,
execution_request: ExecutionRequest,
) -> HoResult<ExecutionResult, ScriptingError> {
// Create execution contexts for each target node type
let contexts = self.create_execution_contexts(&script, &execution_request).await?;
// Execute across tetrahedral topology
let mut execution_futures = Vec::new();
for context in contexts {
let future = self.execute_on_node_type(script.clone(), context);
execution_futures.push(future);
}
// Await all executions with geometric load balancing
let results = self.tetrahedral_scheduler
.execute_with_geometric_balancing(execution_futures)
.await?;
// Aggregate results maintaining fractal consistency
let aggregated_result = self.aggregate_fractal_results(results).await?;
// Apply Möbius feedback for continuous improvement
self.mobius_feedback_loop
.process_execution_feedback(&aggregated_result)
.await?;
Ok(aggregated_result)
}
async fn execute_on_node_type(
&self,
script: GeneratedScript,
context: ExecutionContext,
) -> HoResult<NodeExecutionResult, ScriptingError> {
// Create sandboxed environment
let sandbox = self.sandbox_manager
.create_geometric_sandbox(&context)
.await?;
// Apply resource governance (golden ratio allocation)
self.resource_governor
.apply_allocation(&context.allocated_resources, &sandbox)
.await?;
// Begin execution monitoring
let monitor_handle = self.execution_monitor
.start_monitoring(&context)
.await?;
// Execute script with geometric constraints
let execution_result = sandbox
.execute_with_constraints(
&script.content,
&context.geometric_constraints,
)
.await?;
// Stop monitoring and collect metrics
let execution_metrics = self.execution_monitor
.stop_monitoring(monitor_handle)
.await?;
// Validate geometric invariants post-execution
self.validate_post_execution_geometry(&execution_result, &context).await?;
Ok(NodeExecutionResult {
node_type: context.target_node_type,
execution_output: execution_result,
geometric_metrics: execution_metrics,
resource_utilization: self.resource_governor.get_utilization_stats(&context),
validation_status: GeometricValidationStatus::Valid,
})
}
async fn create_execution_contexts(
&self,
script: &GeneratedScript,
request: &ExecutionRequest,
) -> HoResult<Vec<ExecutionContext>, ScriptingError> {
let mut contexts = Vec::new();
// Ensure tetrahedral coverage
let node_types = match &request.target_nodes {
Some(nodes) => nodes.clone(),
None => vec![
NodeType::Coordinator,
NodeType::Executor,
NodeType::Referee,
NodeType::Development,
],
};
for node_type in node_types {
// Calculate golden ratio resource allocation per node
let total_resources = request.total_resources;
let node_allocation = self.calculate_node_allocation(
total_resources,
node_type,
node_types.len(),
);
let context = ExecutionContext {
context_id: self.generate_context_id(),
target_node_type: node_type,
allocated_resources: node_allocation,
geometric_constraints: script.geometric_validation.constraints.clone(),
sandbox_config: self.create_sandbox_config(&node_type, &script),
monitoring_config: self.create_monitoring_config(&node_type),
};
contexts.push(context);
}
Ok(contexts)
}
}Purpose: Provide higher-order programming constructs that generate code based on geometric patterns and sandloop feedback.
/// Meta-programming toolkit with geometric awareness
#[derive(Debug, Clone)]
pub struct MetaProgrammingToolkit<E>
where
E: commonware_runtime::Network + commonware_runtime::Storage + Clone,
{
pub toolkit_id: String,
pub pattern_library: GeometricPatternLibrary,
pub code_generators: HashMap<ProgrammingLanguage, Box<dyn GeometricCodeGenerator>>,
pub template_engine: FractalTemplateEngine,
pub optimization_engine: GoldenRatioOptimizationEngine,
pub validation_suite: GeometricValidationSuite,
}
/// Geometric code patterns that can be applied across languages
#[derive(Debug, Clone)]
pub enum GeometricPattern {
GoldenRatioResourceAllocation {
fast_path_operations: Vec<Operation>,
slow_path_operations: Vec<Operation>,
ratio_tolerance: f64,
},
TetrahedralDistribution {
coordinator_logic: CodeBlock,
executor_logic: CodeBlock,
referee_logic: CodeBlock,
development_logic: CodeBlock,
},
FractalRecursion {
base_case: CodeBlock,
recursive_case: CodeBlock,
max_depth: u8,
self_similarity_check: ValidationRule,
},
MobiusContinuity {
input_processor: CodeBlock,
output_processor: CodeBlock,
feedback_loop: CodeBlock,
continuity_validator: ValidationRule,
},
}
impl<E> MetaProgrammingToolkit<E> {
pub async fn generate_geometric_code(
&mut self,
pattern: GeometricPattern,
target_language: ProgrammingLanguage,
customization: CodeCustomization,
) -> HoResult<GeneratedCode, MetaProgrammingError> {
// Get appropriate code generator
let generator = self.code_generators
.get(&target_language)
.ok_or(MetaProgrammingError::UnsupportedLanguage(target_language))?;
// Generate base code from pattern
let base_code = generator
.generate_from_pattern(&pattern, &customization)
.await?;
// Apply fractal template transformations
let templated_code = self.template_engine
.apply_fractal_templates(&base_code, &customization)
.await?;
// Optimize using golden ratio principles
let optimized_code = self.optimization_engine
.optimize_with_golden_ratio(&templated_code)
.await?;
// Validate geometric compliance
let validation_result = self.validation_suite
.validate_geometric_compliance(&optimized_code)
.await?;
Ok(GeneratedCode {
content: optimized_code,
pattern_used: pattern,
language: target_language,
optimization_level: self.optimization_engine.get_optimization_level(),
validation_report: validation_result,
generation_metadata: self.create_generation_metadata(),
})
}
/// Generate a complete application using multiple geometric patterns
pub async fn generate_geometric_application(
&mut self,
app_spec: ApplicationSpecification,
) -> HoResult<GeneratedApplication, MetaProgrammingError> {
let mut generated_modules = Vec::new();
// Generate modules following tetrahedral architecture
for node_type in [
NodeType::Coordinator,
NodeType::Executor,
NodeType::Referee,
NodeType::Development,
] {
let module_patterns = app_spec.get_patterns_for_node_type(node_type);
let mut module_code = Vec::new();
for pattern in module_patterns {
let code = self.generate_geometric_code(
pattern,
app_spec.target_language,
app_spec.get_customization_for_node_type(node_type),
).await?;
module_code.push(code);
}
generated_modules.push(ApplicationModule {
node_type,
code_segments: module_code,
geometric_compliance: self.validate_module_geometry(&module_code).await?,
});
}
// Ensure fractal consistency across modules
self.validate_cross_module_fractal_consistency(&generated_modules).await?;
// Generate application entry point with golden ratio resource allocation
let entry_point = self.generate_golden_ratio_main(
&generated_modules,
&app_spec,
).await?;
Ok(GeneratedApplication {
modules: generated_modules,
entry_point,
geometric_validation: self.create_application_validation_report(&generated_modules),
deployment_instructions: self.generate_tetrahedral_deployment_instructions(&generated_modules),
})
}
}