use std::sync::Arc;
pub mod metrics;
pub mod performance_optimization;
pub mod reliability;
pub use metrics::PrometheusMetrics;
pub use performance_optimization::{OptimizationStatus, PerformanceOptimizer, ResourceType};
pub use reliability::{
execute_with_monitoring, execute_with_recovery, AiVerification, ProgressTracker, Watchdog,
};
pub struct CoreSystem {
performance_optimizer: PerformanceOptimizer,
}
impl CoreSystem {
pub fn new(auto_save_frequency: usize) -> Self {
Self {
performance_optimizer: PerformanceOptimizer::new(auto_save_frequency),
}
}
pub fn performance_optimizer(&self) -> &PerformanceOptimizer {
&self.performance_optimizer
}
pub fn process_input(&self, _input: &str) -> Result<(), String> {
Ok(())
}
pub fn get_auto_save_stats(&self) -> (usize, usize, usize) {
let (performance_changes, _, _) = self.performance_optimizer.get_stats();
(0, 0, performance_changes)
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::core::ResourceType;
use std::collections::HashMap;
use std::time::Duration;
#[test]
fn test_core_system_integration() -> Result<(), Box<dyn std::error::Error>> {
let core = CoreSystem::new(20);
for i in 0..25 {
let input = if i % 5 == 0 {
format!("success message {i}")
} else {
format!("normal message {i}")
};
core.process_input(&input)?;
}
let mut settings = HashMap::new();
settings.insert("cache_size".to_string(), "1024".to_string());
core.performance_optimizer().configure_resource(
"database",
ResourceType::Database,
settings,
0.8,
500.0,
Duration::from_millis(50),
)?;
let (agent_inputs, hardening_changes, performance_changes) = core.get_auto_save_stats();
assert_eq!(agent_inputs, 0);
assert_eq!(hardening_changes, 0);
assert_eq!(performance_changes, 1);
Ok(())
}
}
pub mod performance;
pub use performance::Metrics;
pub mod ports {
pub mod node_communication {}
pub mod wallet_interface {}
pub mod smart_contract {}
pub mod taproot_assets {}
pub mod dlc_oracle {}
pub mod metrics_port {}
pub mod audit_trail {}
}
use crate::ml::agent_system::MLAgentSystem;
use crate::tokenomics::{engine::TokenomicsConfig, TokenomicsEngine};
#[derive(Debug, Clone)]
pub struct BitcoinConfig {
pub network: String,
pub rpc_url: Option<String>,
}
#[derive(Debug, Clone)]
pub struct Web5Config {
pub endpoint: String,
}
#[derive(Debug, Clone)]
pub struct MlConfig {
pub model_path: String,
}
pub struct Config {
pub bitcoin: BitcoinConfig,
pub web5: Web5Config,
pub ml: MlConfig,
pub tokenomics: TokenomicsConfig,
}
#[allow(dead_code)]
pub struct AnyaCore {
#[cfg(feature = "rust-bitcoin")]
bitcoin_adapter: Arc<dyn crate::bitcoin::interface::BitcoinInterface>,
web5_adapter: Arc<crate::web::web5_adapter::Web5Adapter>,
ml_agent_system: Arc<MLAgentSystem>,
dao_governance: Arc<crate::dao::DaoGovernance>,
tokenomics: Arc<TokenomicsEngine>,
}
impl AnyaCore {
#[cfg(feature = "rust-bitcoin")]
pub async fn new(config: Config) -> Result<Self, Box<dyn std::error::Error>> {
let bitcoin_config = crate::bitcoin::config::BitcoinConfig {
enabled: true,
network: config.bitcoin.network.clone(),
rpc_url: config.bitcoin.rpc_url.clone(),
auth: None,
min_confirmations: 6,
default_fee_rate: 1,
wallet_path: Some("/tmp/bitcoin-wallet".to_string()),
};
let bitcoin_adapter = crate::bitcoin::BitcoinAdapter::new(bitcoin_config).await?;
let bitcoin: Arc<dyn crate::bitcoin::interface::BitcoinInterface + Send + Sync> =
Arc::new(bitcoin_adapter);
let web5 = Arc::new(crate::web::web5_adapter::Web5Adapter::new(&config.web5.endpoint));
let ml_config = crate::ml::MLConfig {
enabled: true,
model_path: Some(config.ml.model_path.clone()),
use_gpu: true,
federated_learning: true,
max_model_size: 100 * 1024 * 1024,
};
let agents = Arc::new(MLAgentSystem::init(ml_config).await?);
let dao = Arc::new(crate::dao::DaoGovernance::default());
let tokens = TokenomicsEngine::setup(config.tokenomics).await?;
Ok(Self {
bitcoin_adapter: bitcoin,
web5_adapter: web5,
ml_agent_system: agents,
dao_governance: dao,
tokenomics: tokens,
})
}
#[cfg(not(feature = "rust-bitcoin"))]
pub async fn new(config: Config) -> Result<Self, Box<dyn std::error::Error>> {
let web5 = Arc::new(crate::web::web5_adapter::Web5Adapter::new(&config.web5.endpoint));
let ml_config = crate::ml::MLConfig {
enabled: true,
model_path: Some(config.ml.model_path.clone()),
use_gpu: true,
federated_learning: true,
max_model_size: 100 * 1024 * 1024,
};
let agents = Arc::new(MLAgentSystem::init(ml_config).await?);
let dao = Arc::new(crate::dao::DaoGovernance::default());
let tokens = TokenomicsEngine::setup(config.tokenomics).await?;
Ok(Self {
web5_adapter: web5,
ml_agent_system: agents,
dao_governance: dao,
tokenomics: tokens,
})
}
}
pub mod rpc_ports {
use crate::core::metrics::PrometheusMetrics;
use async_trait::async_trait;
use serde_json::Value as JsonValue;
use std::sync::{Arc, Mutex};
#[async_trait]
pub trait BitcoinRpc {
async fn call_method(
&self,
method: &str,
params: JsonValue,
) -> Result<JsonValue, Box<dyn std::error::Error + Send + Sync>>;
async fn validate_response(
&self,
response: JsonValue,
) -> Result<(), Box<dyn std::error::Error + Send + Sync>>;
}
#[async_trait]
pub trait LightningRpc {
async fn create_invoice(
&self,
amount_msat: u64,
description: &str,
) -> Result<String, Box<dyn std::error::Error + Send + Sync>>;
async fn verify_payment(
&self,
payment_hash: &str,
) -> Result<bool, Box<dyn std::error::Error + Send + Sync>>;
}
#[allow(dead_code)]
pub struct AnyaRpcAdapter {
bitcoin: Arc<dyn BitcoinRpc + Send + Sync>,
lightning: Arc<dyn LightningRpc + Send + Sync>,
metrics: Arc<Mutex<PrometheusMetrics>>,
}
}