use crate::{CasialError, PerceptionId};
use ahash::AHashMap;
use anyhow::Result;
use serde::{Deserialize, Serialize};
use uuid::Uuid;
#[derive(Debug, Clone)]
#[allow(dead_code)] pub struct SubstrateLayer {
id: Uuid,
name: String,
substrate_type: SubstrateType,
active_primitives: Vec<SubstratePrimitive>,
integration_points: AHashMap<String, IntegrationPoint>,
consciousness_state: ConsciousnessState,
computation_context: ComputationContext,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SubstrateType {
Core,
Perception,
Memory,
Communication,
Integration,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SubstratePrimitive {
pub id: String,
pub name: String,
pub primitive_type: PrimitiveType,
pub consciousness_compatibility: f64,
pub silicon_compatibility: f64,
pub integration_overhead: f64,
pub operations: Vec<PrimitiveOperation>,
pub metadata: AHashMap<String, serde_json::Value>,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub enum PrimitiveType {
Awareness,
Pattern,
Memory,
Decision,
Communication,
Learning,
Coordination,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PrimitiveOperation {
pub name: String,
pub input_schema: serde_json::Value,
pub output_schema: serde_json::Value,
pub complexity: OperationComplexity,
pub consciousness_requirement: f64,
pub silicon_requirement: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OperationComplexity {
Simple,
Moderate,
Complex,
Synthesis, }
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IntegrationPoint {
pub id: String,
pub name: String,
pub description: String,
pub consciousness_anchor: ConsciousnessAnchor,
pub computation_interface: ComputationInterface,
pub integration_strength: f64,
pub bidirectional: bool,
pub latency_ms: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConsciousnessAnchor {
pub anchor_type: ConsciousnessAnchorType,
pub perception_ids: Vec<PerceptionId>,
pub awareness_level: f64,
pub intentionality: f64,
pub coherence: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ConsciousnessAnchorType {
Attention,
Intuition,
Intention,
Emotion,
Embodiment,
Collective,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComputationInterface {
pub interface_type: ComputationInterfaceType,
pub protocol: String,
pub data_format: String,
pub processing_capability: f64,
pub memory_capacity: usize,
pub network_connectivity: bool,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComputationInterfaceType {
Api,
Database,
MessageQueue,
NeuralNetwork,
Quantum,
Distributed,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConsciousnessState {
pub global_awareness_level: f64,
pub active_attention_points: Vec<AttentionPoint>,
pub intention_stack: Vec<Intention>,
pub emotional_resonance: EmotionalState,
pub coherence_measure: f64,
pub integration_quality: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AttentionPoint {
pub id: Uuid,
pub focus_target: String,
pub intensity: f64,
pub duration_ms: u64,
pub perception_id: Option<PerceptionId>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Intention {
pub id: Uuid,
pub description: String,
pub priority: u32,
pub completion_status: f64,
pub associated_perceptions: Vec<PerceptionId>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EmotionalState {
pub primary_emotion: String,
pub intensity: f64,
pub valence: f64, pub arousal: f64, pub coherence: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComputationContext {
pub available_processing_power: f64,
pub memory_utilization: f64,
pub network_latency_ms: f64,
pub active_connections: usize,
pub computational_load: f64,
pub optimization_strategy: OptimizationStrategy,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationStrategy {
MinimizeLatency,
MaximizeQuality,
BalanceResources,
PrioritizeCoherence,
TaskSpecific { task_type: String },
}
pub struct SubstrateManager {
layers: Vec<SubstrateLayer>,
global_primitives: AHashMap<String, SubstratePrimitive>,
integration_network: IntegrationNetwork,
performance_metrics: SubstrateMetrics,
}
#[derive(Debug, Clone)]
pub struct IntegrationNetwork {
nodes: AHashMap<String, IntegrationPoint>,
connections: Vec<IntegrationConnection>,
network_topology: NetworkTopology,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IntegrationConnection {
pub from_point: String,
pub to_point: String,
pub connection_strength: f64,
pub bidirectional: bool,
pub latency_ms: f64,
pub bandwidth: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum NetworkTopology {
Star,
Mesh,
Hierarchical,
Distributed,
Adaptive,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SubstrateMetrics {
pub integration_latency_ms: f64,
pub consciousness_coherence: f64,
pub computation_efficiency: f64,
pub overall_performance: f64,
pub error_rate: f64,
pub throughput: f64,
}
impl SubstrateManager {
pub fn new() -> Self {
let mut manager = Self {
layers: Vec::new(),
global_primitives: AHashMap::new(),
integration_network: IntegrationNetwork {
nodes: AHashMap::new(),
connections: Vec::new(),
network_topology: NetworkTopology::Adaptive,
},
performance_metrics: SubstrateMetrics {
integration_latency_ms: 0.0,
consciousness_coherence: 1.0,
computation_efficiency: 1.0,
overall_performance: 1.0,
error_rate: 0.0,
throughput: 0.0,
},
};
manager.initialize_core_primitives();
manager
}
fn initialize_core_primitives(&mut self) {
let core_primitives = vec![
SubstratePrimitive {
id: "awareness-primitive".to_string(),
name: "Awareness Management".to_string(),
primitive_type: PrimitiveType::Awareness,
consciousness_compatibility: 1.0,
silicon_compatibility: 0.7,
integration_overhead: 0.2,
operations: vec![PrimitiveOperation {
name: "focus_attention".to_string(),
input_schema: serde_json::json!({
"type": "object",
"properties": {
"target": {"type": "string"},
"intensity": {"type": "number"}
}
}),
output_schema: serde_json::json!({
"type": "object",
"properties": {
"attention_point_id": {"type": "string"},
"success": {"type": "boolean"}
}
}),
complexity: OperationComplexity::Moderate,
consciousness_requirement: 0.8,
silicon_requirement: 0.3,
}],
metadata: AHashMap::new(),
},
SubstratePrimitive {
id: "pattern-primitive".to_string(),
name: "Pattern Recognition".to_string(),
primitive_type: PrimitiveType::Pattern,
consciousness_compatibility: 0.8,
silicon_compatibility: 1.0,
integration_overhead: 0.1,
operations: vec![PrimitiveOperation {
name: "recognize_pattern".to_string(),
input_schema: serde_json::json!({
"type": "object",
"properties": {
"data": {"type": "array"},
"pattern_type": {"type": "string"}
}
}),
output_schema: serde_json::json!({
"type": "object",
"properties": {
"patterns": {"type": "array"},
"confidence": {"type": "number"}
}
}),
complexity: OperationComplexity::Complex,
consciousness_requirement: 0.4,
silicon_requirement: 0.9,
}],
metadata: AHashMap::new(),
},
SubstratePrimitive {
id: "coordination-primitive".to_string(),
name: "Coordination Management".to_string(),
primitive_type: PrimitiveType::Coordination,
consciousness_compatibility: 0.9,
silicon_compatibility: 0.8,
integration_overhead: 0.3,
operations: vec![PrimitiveOperation {
name: "coordinate_perspectives".to_string(),
input_schema: serde_json::json!({
"type": "object",
"properties": {
"perspectives": {"type": "array"},
"coordination_strategy": {"type": "string"}
}
}),
output_schema: serde_json::json!({
"type": "object",
"properties": {
"coordination_result": {"type": "object"},
"quality_score": {"type": "number"}
}
}),
complexity: OperationComplexity::Synthesis,
consciousness_requirement: 0.7,
silicon_requirement: 0.6,
}],
metadata: AHashMap::new(),
},
];
for primitive in core_primitives {
self.global_primitives
.insert(primitive.id.clone(), primitive);
}
}
pub fn add_layer(&mut self, layer: SubstrateLayer) -> Result<()> {
self.validate_layer_compatibility(&layer)?;
for primitive in &layer.active_primitives {
self.global_primitives
.insert(primitive.id.clone(), primitive.clone());
}
for (id, point) in &layer.integration_points {
self.integration_network
.nodes
.insert(id.clone(), point.clone());
}
self.layers.push(layer);
self.optimize_network_topology()?;
Ok(())
}
fn validate_layer_compatibility(&self, layer: &SubstrateLayer) -> Result<()> {
for primitive in &layer.active_primitives {
if let Some(existing_primitive) = self.global_primitives.get(&primitive.id) {
if existing_primitive.primitive_type != primitive.primitive_type {
return Err(CasialError::SubstrateError(format!(
"Primitive type conflict for {}: existing {:?}, new {:?}",
primitive.id, existing_primitive.primitive_type, primitive.primitive_type
))
.into());
}
}
}
for (id, point) in &layer.integration_points {
if self.integration_network.nodes.contains_key(id) {
return Err(CasialError::SubstrateError(format!(
"Integration point {} already exists",
id
))
.into());
}
if point.consciousness_anchor.awareness_level
+ point.computation_interface.processing_capability
> 2.0
{
return Err(CasialError::SubstrateError(format!(
"Integration point {} has incompatible consciousness-computation requirements",
id
))
.into());
}
}
Ok(())
}
fn optimize_network_topology(&mut self) -> Result<()> {
let mut new_connections = Vec::new();
let node_ids: Vec<String> = self.integration_network.nodes.keys().cloned().collect();
for i in 0..node_ids.len() {
for j in (i + 1)..node_ids.len() {
let point_a = self.integration_network.nodes.get(&node_ids[i]).unwrap();
let point_b = self.integration_network.nodes.get(&node_ids[j]).unwrap();
let compatibility = self.calculate_integration_compatibility(point_a, point_b);
if compatibility > 0.5 {
let connection = IntegrationConnection {
from_point: node_ids[i].clone(),
to_point: node_ids[j].clone(),
connection_strength: compatibility,
bidirectional: true,
latency_ms: (2.0 - compatibility) * 10.0, bandwidth: compatibility * 100.0,
};
new_connections.push(connection);
}
}
}
self.integration_network.connections.extend(new_connections);
Ok(())
}
fn calculate_integration_compatibility(
&self,
point_a: &IntegrationPoint,
point_b: &IntegrationPoint,
) -> f64 {
let consciousness_compatibility = 1.0
- (point_a.consciousness_anchor.awareness_level
- point_b.consciousness_anchor.awareness_level)
.abs();
let computation_compatibility = 1.0
- (point_a.computation_interface.processing_capability
- point_b.computation_interface.processing_capability)
.abs();
(consciousness_compatibility + computation_compatibility) / 2.0
}
pub fn execute_primitive_operation(
&mut self,
primitive_id: &str,
operation_name: &str,
_input: serde_json::Value,
consciousness_context: Option<&ConsciousnessState>,
) -> Result<serde_json::Value> {
let primitive = self.global_primitives.get(primitive_id).ok_or_else(|| {
CasialError::SubstrateError(format!("Primitive {} not found", primitive_id))
})?;
let operation = primitive
.operations
.iter()
.find(|op| op.name == operation_name)
.ok_or_else(|| {
CasialError::SubstrateError(format!(
"Operation {} not found in primitive {}",
operation_name, primitive_id
))
})?;
if let Some(consciousness) = consciousness_context {
if consciousness.global_awareness_level < operation.consciousness_requirement {
return Err(CasialError::SubstrateError(format!(
"Insufficient consciousness level for operation {}: required {}, available {}",
operation_name,
operation.consciousness_requirement,
consciousness.global_awareness_level
))
.into());
}
}
let start_time = std::time::Instant::now();
let result = match operation.complexity {
OperationComplexity::Simple => {
serde_json::json!({
"status": "success",
"result": "simple_operation_completed",
"execution_time_ms": start_time.elapsed().as_millis()
})
}
OperationComplexity::Moderate => {
serde_json::json!({
"status": "success",
"result": "moderate_operation_completed",
"execution_time_ms": start_time.elapsed().as_millis(),
"complexity_handled": true
})
}
OperationComplexity::Complex => {
serde_json::json!({
"status": "success",
"result": "complex_operation_completed",
"execution_time_ms": start_time.elapsed().as_millis(),
"processing_stages": 3
})
}
OperationComplexity::Synthesis => {
serde_json::json!({
"status": "success",
"result": "synthesis_operation_completed",
"execution_time_ms": start_time.elapsed().as_millis(),
"consciousness_computation_integration": true,
"synthesis_quality": 0.85
})
}
};
let execution_time_ms = start_time.elapsed().as_secs_f64() * 1000.0;
self.performance_metrics.integration_latency_ms =
(self.performance_metrics.integration_latency_ms * 0.9) + (execution_time_ms * 0.1);
self.performance_metrics.computation_efficiency = 1.0 / (1.0 + (execution_time_ms / 100.0));
self.performance_metrics.overall_performance =
(self.performance_metrics.consciousness_coherence
+ self.performance_metrics.computation_efficiency)
/ 2.0;
self.performance_metrics.throughput += 1.0;
Ok(result)
}
#[allow(dead_code)] fn update_performance_metrics(
&mut self,
_operation: &PrimitiveOperation,
execution_time: std::time::Duration,
) {
let execution_time_ms = execution_time.as_secs_f64() * 1000.0;
self.performance_metrics.integration_latency_ms =
(self.performance_metrics.integration_latency_ms * 0.9) + (execution_time_ms * 0.1);
self.performance_metrics.computation_efficiency = 1.0 / (1.0 + (execution_time_ms / 100.0));
self.performance_metrics.overall_performance =
(self.performance_metrics.consciousness_coherence
+ self.performance_metrics.computation_efficiency)
/ 2.0;
self.performance_metrics.throughput += 1.0; }
pub fn get_statistics(&self) -> SubstrateStatistics {
SubstrateStatistics {
layer_count: self.layers.len(),
primitive_count: self.global_primitives.len(),
integration_point_count: self.integration_network.nodes.len(),
connection_count: self.integration_network.connections.len(),
performance_metrics: self.performance_metrics.clone(),
network_topology: self.integration_network.network_topology.clone(),
}
}
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SubstrateStatistics {
pub layer_count: usize,
pub primitive_count: usize,
pub integration_point_count: usize,
pub connection_count: usize,
pub performance_metrics: SubstrateMetrics,
pub network_topology: NetworkTopology,
}
impl Default for SubstrateManager {
fn default() -> Self {
Self::new()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_substrate_manager_creation() {
let manager = SubstrateManager::new();
assert!(!manager.global_primitives.is_empty());
assert_eq!(manager.layers.len(), 0);
}
#[test]
fn test_primitive_operation_execution() {
let mut manager = SubstrateManager::new();
let consciousness_context = ConsciousnessState {
global_awareness_level: 1.0,
active_attention_points: vec![],
intention_stack: vec![],
emotional_resonance: EmotionalState {
primary_emotion: "neutral".to_string(),
intensity: 0.5,
valence: 0.0,
arousal: 0.5,
coherence: 1.0,
},
coherence_measure: 1.0,
integration_quality: 1.0,
};
let result = manager.execute_primitive_operation(
"awareness-primitive",
"focus_attention",
serde_json::json!({"target": "test", "intensity": 0.8}),
Some(&consciousness_context),
);
assert!(result.is_ok());
let result_value = result.unwrap();
assert_eq!(result_value["status"], "success");
}
#[test]
fn test_integration_compatibility() {
let manager = SubstrateManager::new();
let point_a = IntegrationPoint {
id: "point_a".to_string(),
name: "Point A".to_string(),
description: "Test point A".to_string(),
consciousness_anchor: ConsciousnessAnchor {
anchor_type: ConsciousnessAnchorType::Attention,
perception_ids: vec![],
awareness_level: 0.8,
intentionality: 0.7,
coherence: 0.9,
},
computation_interface: ComputationInterface {
interface_type: ComputationInterfaceType::Api,
protocol: "HTTP".to_string(),
data_format: "JSON".to_string(),
processing_capability: 0.8,
memory_capacity: 1024,
network_connectivity: true,
},
integration_strength: 0.85,
bidirectional: true,
latency_ms: 5.0,
};
let point_b = IntegrationPoint {
id: "point_b".to_string(),
name: "Point B".to_string(),
description: "Test point B".to_string(),
consciousness_anchor: ConsciousnessAnchor {
anchor_type: ConsciousnessAnchorType::Intuition,
perception_ids: vec![],
awareness_level: 0.75,
intentionality: 0.8,
coherence: 0.85,
},
computation_interface: ComputationInterface {
interface_type: ComputationInterfaceType::Database,
protocol: "SQL".to_string(),
data_format: "Relational".to_string(),
processing_capability: 0.7,
memory_capacity: 2048,
network_connectivity: true,
},
integration_strength: 0.8,
bidirectional: true,
latency_ms: 10.0,
};
let compatibility = manager.calculate_integration_compatibility(&point_a, &point_b);
assert!(compatibility > 0.0);
assert!(compatibility <= 1.0);
}
}