use super::config::{VectorQuery, VectorQueryResult, VectorServiceResult};
use anyhow::{anyhow, Result};
use serde_json::Value;
use std::time::{Duration, Instant};
pub struct FederatedVectorService {
endpoint_url: String,
timeout: Duration,
client: Option<reqwest::Client>,
}
impl FederatedVectorService {
pub fn new(endpoint_url: String) -> Self {
Self {
endpoint_url,
timeout: Duration::from_secs(30),
client: None,
}
}
pub fn with_timeout(mut self, timeout: Duration) -> Self {
self.timeout = timeout;
self
}
pub fn initialize(&mut self) -> Result<()> {
let client = reqwest::Client::builder()
.timeout(self.timeout)
.build()
.map_err(|e| anyhow!("Failed to create HTTP client: {}", e))?;
self.client = Some(client);
Ok(())
}
pub async fn execute_remote_query(&self, query: &VectorQuery) -> Result<VectorQueryResult> {
if self.client.is_none() {
return Err(anyhow!("Client not initialized"));
}
let _request_body = self.serialize_query(query)?;
let start_time = Instant::now();
let simulated_response = self.simulate_remote_response(query)?;
let execution_time = start_time.elapsed();
let parsed_result = self.parse_query_response(simulated_response)?;
Ok(VectorQueryResult::new(parsed_result, execution_time))
}
fn serialize_query(&self, query: &VectorQuery) -> Result<String> {
let mut query_json = serde_json::Map::new();
query_json.insert(
"operation".to_string(),
Value::String(query.operation_type.clone()),
);
let args_json: Vec<Value> = query
.args
.iter()
.map(|arg| match arg {
super::config::VectorServiceArg::IRI(iri) => {
let mut arg_obj = serde_json::Map::new();
arg_obj.insert("type".to_string(), Value::String("iri".to_string()));
arg_obj.insert("value".to_string(), Value::String(iri.clone()));
Value::Object(arg_obj)
}
super::config::VectorServiceArg::Literal(lit) => {
let mut arg_obj = serde_json::Map::new();
arg_obj.insert("type".to_string(), Value::String("literal".to_string()));
arg_obj.insert("value".to_string(), Value::String(lit.clone()));
Value::Object(arg_obj)
}
super::config::VectorServiceArg::Number(num) => {
let mut arg_obj = serde_json::Map::new();
arg_obj.insert("type".to_string(), Value::String("number".to_string()));
arg_obj.insert(
"value".to_string(),
Value::Number(
serde_json::Number::from_f64(*num as f64)
.expect("finite f64 should produce valid JSON number"),
),
);
Value::Object(arg_obj)
}
super::config::VectorServiceArg::String(s) => {
let mut arg_obj = serde_json::Map::new();
arg_obj.insert("type".to_string(), Value::String("string".to_string()));
arg_obj.insert("value".to_string(), Value::String(s.clone()));
Value::Object(arg_obj)
}
super::config::VectorServiceArg::Vector(v) => {
let mut arg_obj = serde_json::Map::new();
arg_obj.insert("type".to_string(), Value::String("vector".to_string()));
arg_obj.insert(
"dimensions".to_string(),
Value::Number(serde_json::Number::from(v.len())),
);
let values: Vec<Value> = v
.as_slice()
.iter()
.map(|&f| {
Value::Number(
serde_json::Number::from_f64(f as f64)
.expect("finite f64 should produce valid JSON number"),
)
})
.collect();
arg_obj.insert("values".to_string(), Value::Array(values));
Value::Object(arg_obj)
}
})
.collect();
query_json.insert("args".to_string(), Value::Array(args_json));
let metadata_json: serde_json::Map<String, Value> = query
.metadata
.iter()
.map(|(k, v)| (k.clone(), Value::String(v.clone())))
.collect();
query_json.insert("metadata".to_string(), Value::Object(metadata_json));
serde_json::to_string(&Value::Object(query_json))
.map_err(|e| anyhow!("Failed to serialize query: {}", e))
}
fn simulate_remote_response(&self, query: &VectorQuery) -> Result<Value> {
match query.operation_type.as_str() {
"similarity" => {
let mut response = serde_json::Map::new();
response.insert(
"type".to_string(),
Value::String("similarity_list".to_string()),
);
let results = vec![
serde_json::json!({"resource": "http://example.org/sim1", "score": 0.85}),
serde_json::json!({"resource": "http://example.org/sim2", "score": 0.78}),
];
response.insert("value".to_string(), Value::Array(results));
Ok(Value::Object(response))
}
"search" => {
let mut response = serde_json::Map::new();
response.insert(
"type".to_string(),
Value::String("similarity_list".to_string()),
);
let results = vec![
serde_json::json!({"resource": "http://example.org/doc1", "score": 0.92}),
serde_json::json!({"resource": "http://example.org/doc2", "score": 0.88}),
serde_json::json!({"resource": "http://example.org/doc3", "score": 0.75}),
];
response.insert("value".to_string(), Value::Array(results));
Ok(Value::Object(response))
}
"embed" => {
let mut response = serde_json::Map::new();
response.insert("type".to_string(), Value::String("vector".to_string()));
response.insert(
"dimensions".to_string(),
Value::Number(serde_json::Number::from(384)),
);
let vector_values: Vec<Value> = (0..384)
.map(|i| {
Value::Number(
serde_json::Number::from_f64((i as f64 * 0.01) % 1.0)
.expect("finite f64 should produce valid JSON number"),
)
})
.collect();
response.insert("values".to_string(), Value::Array(vector_values));
Ok(Value::Object(response))
}
_ => Err(anyhow!(
"Unsupported operation for remote execution: {}",
query.operation_type
)),
}
}
fn parse_service_response(&self, response: Value) -> Result<VectorServiceResult> {
let result_type = response["type"]
.as_str()
.ok_or_else(|| anyhow!("Missing result type"))?;
match result_type {
"similarity_list" => {
let results_json = response["value"]
.as_array()
.ok_or_else(|| anyhow!("Invalid similarity list format"))?;
let mut results = Vec::new();
for item in results_json {
let resource = item["resource"]
.as_str()
.ok_or_else(|| anyhow!("Missing resource in similarity result"))?;
let score = item["score"]
.as_f64()
.ok_or_else(|| anyhow!("Missing score in similarity result"))?
as f32;
results.push((resource.to_string(), score));
}
Ok(VectorServiceResult::SimilarityList(results))
}
"number" => {
let value = response["value"]
.as_f64()
.ok_or_else(|| anyhow!("Invalid number format"))?
as f32;
Ok(VectorServiceResult::Number(value))
}
"string" => {
let value = response["value"]
.as_str()
.ok_or_else(|| anyhow!("Invalid string format"))?;
Ok(VectorServiceResult::String(value.to_string()))
}
"vector" => {
let dimensions = response["dimensions"]
.as_u64()
.ok_or_else(|| anyhow!("Missing vector dimensions"))?
as usize;
let values = response["values"]
.as_array()
.ok_or_else(|| anyhow!("Missing vector values"))?;
let mut vector_values = Vec::new();
for value in values {
let f_val = value
.as_f64()
.ok_or_else(|| anyhow!("Invalid vector value"))?
as f32;
vector_values.push(f_val);
}
if vector_values.len() != dimensions {
return Err(anyhow!("Vector dimensions mismatch"));
}
Ok(VectorServiceResult::Vector(crate::Vector::new(
vector_values,
)))
}
"clusters" => {
let clusters_json = response["value"]
.as_array()
.ok_or_else(|| anyhow!("Invalid clusters format"))?;
let mut clusters = Vec::new();
for cluster_json in clusters_json {
let cluster_array = cluster_json
.as_array()
.ok_or_else(|| anyhow!("Invalid cluster format"))?;
let mut cluster = Vec::new();
for member in cluster_array {
let member_str = member
.as_str()
.ok_or_else(|| anyhow!("Invalid cluster member"))?;
cluster.push(member_str.to_string());
}
clusters.push(cluster);
}
Ok(VectorServiceResult::Clusters(clusters))
}
"boolean" => {
let value = response["value"]
.as_bool()
.ok_or_else(|| anyhow!("Invalid boolean format"))?;
Ok(VectorServiceResult::Boolean(value))
}
_ => Err(anyhow!("Unknown result type: {}", result_type)),
}
}
fn parse_query_response(&self, response: Value) -> Result<Vec<(String, f32)>> {
let results_json = response["value"]
.as_array()
.ok_or_else(|| anyhow!("Missing results in query response"))?;
let mut results = Vec::new();
for result in results_json {
let resource = result["resource"]
.as_str()
.ok_or_else(|| anyhow!("Missing resource in result"))?;
let score = result["score"]
.as_f64()
.ok_or_else(|| anyhow!("Missing score in result"))? as f32;
results.push((resource.to_string(), score));
}
Ok(results)
}
}
pub struct FederationManager {
endpoints: Vec<FederatedVectorService>,
load_balancer: LoadBalancer,
retry_policy: RetryPolicy,
}
impl FederationManager {
pub fn new(endpoint_urls: Vec<String>) -> Self {
let endpoints = endpoint_urls
.into_iter()
.map(FederatedVectorService::new)
.collect();
Self {
endpoints,
load_balancer: LoadBalancer::new(),
retry_policy: RetryPolicy::default(),
}
}
pub async fn execute_federated_query(
&mut self,
endpoints: &[String],
query: &VectorQuery,
) -> Result<FederatedQueryResult> {
if endpoints.is_empty() {
return Err(anyhow!("No endpoints specified for federated query"));
}
let mut federated_results = Vec::new();
let start_time = Instant::now();
for endpoint in endpoints {
let federated_service = FederatedVectorService::new(endpoint.clone());
match federated_service.execute_remote_query(query).await {
Ok(result) => {
federated_results.push(FederatedEndpointResult {
endpoint: endpoint.clone(),
result: Some(result),
error: None,
response_time: start_time.elapsed(),
});
}
Err(e) => {
federated_results.push(FederatedEndpointResult {
endpoint: endpoint.clone(),
result: None,
error: Some(e.to_string()),
response_time: start_time.elapsed(),
});
}
}
}
let successful_count = federated_results
.iter()
.filter(|r| r.result.is_some())
.count();
let failed_count = federated_results.len() - successful_count;
Ok(FederatedQueryResult {
endpoint_results: federated_results,
total_execution_time: start_time.elapsed(),
successful_endpoints: successful_count,
failed_endpoints: failed_count,
})
}
pub fn add_endpoint(&mut self, endpoint_url: String) {
let service = FederatedVectorService::new(endpoint_url);
self.endpoints.push(service);
}
pub fn remove_endpoint(&mut self, endpoint_url: &str) {
self.endpoints
.retain(|service| service.endpoint_url != endpoint_url);
}
pub async fn check_endpoint_health(&self, endpoint_url: &str) -> bool {
!endpoint_url.is_empty()
}
}
pub struct LoadBalancer {
strategy: LoadBalancingStrategy,
endpoint_weights: std::collections::HashMap<String, f32>,
}
#[derive(Debug, Clone)]
pub enum LoadBalancingStrategy {
RoundRobin,
WeightedRoundRobin,
LeastConnections,
HealthBased,
}
impl LoadBalancer {
pub fn new() -> Self {
Self {
strategy: LoadBalancingStrategy::RoundRobin,
endpoint_weights: std::collections::HashMap::new(),
}
}
pub fn select_endpoints(&self, available_endpoints: &[String], count: usize) -> Vec<String> {
match self.strategy {
LoadBalancingStrategy::RoundRobin => {
available_endpoints.iter().take(count).cloned().collect()
}
LoadBalancingStrategy::WeightedRoundRobin => {
let mut selected = Vec::new();
for endpoint in available_endpoints.iter().take(count) {
let weight = self.endpoint_weights.get(endpoint).copied().unwrap_or(1.0);
if weight > 0.5 {
selected.push(endpoint.clone());
}
}
selected
}
_ => available_endpoints.iter().take(count).cloned().collect(),
}
}
pub fn set_endpoint_weight(&mut self, endpoint: String, weight: f32) {
self.endpoint_weights.insert(endpoint, weight);
}
}
impl Default for LoadBalancer {
fn default() -> Self {
Self::new()
}
}
#[derive(Debug, Clone)]
pub struct RetryPolicy {
max_retries: usize,
base_delay: Duration,
exponential_backoff: bool,
}
impl RetryPolicy {
pub fn new(max_retries: usize, base_delay: Duration, exponential_backoff: bool) -> Self {
Self {
max_retries,
base_delay,
exponential_backoff,
}
}
pub fn get_delay(&self, attempt: usize) -> Duration {
if self.exponential_backoff {
self.base_delay * 2_u32.pow(attempt as u32)
} else {
self.base_delay
}
}
}
impl Default for RetryPolicy {
fn default() -> Self {
Self::new(3, Duration::from_millis(100), true)
}
}
#[derive(Debug, Clone)]
pub struct FederatedQueryResult {
pub endpoint_results: Vec<FederatedEndpointResult>,
pub total_execution_time: Duration,
pub successful_endpoints: usize,
pub failed_endpoints: usize,
}
impl FederatedQueryResult {
pub fn merge_results(&self) -> Vec<(String, f32)> {
let mut all_results = Vec::new();
for endpoint_result in &self.endpoint_results {
if let Some(ref result) = endpoint_result.result {
all_results.extend(result.results.clone());
}
}
all_results.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
all_results.dedup_by(|a, b| a.0 == b.0);
all_results
}
pub fn success_rate(&self) -> f64 {
if self.endpoint_results.is_empty() {
0.0
} else {
(self.successful_endpoints as f64 / self.endpoint_results.len() as f64) * 100.0
}
}
}
#[derive(Debug, Clone)]
pub struct FederatedEndpointResult {
pub endpoint: String,
pub result: Option<VectorQueryResult>,
pub error: Option<String>,
pub response_time: Duration,
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_federated_service_creation() {
let service = FederatedVectorService::new("http://localhost:8080".to_string());
assert_eq!(service.endpoint_url, "http://localhost:8080");
assert_eq!(service.timeout, Duration::from_secs(30));
}
#[test]
fn test_load_balancer() {
let balancer = LoadBalancer::new();
let endpoints = vec![
"http://endpoint1.com".to_string(),
"http://endpoint2.com".to_string(),
"http://endpoint3.com".to_string(),
];
let selected = balancer.select_endpoints(&endpoints, 2);
assert_eq!(selected.len(), 2);
assert_eq!(selected[0], endpoints[0]);
assert_eq!(selected[1], endpoints[1]);
}
#[test]
fn test_retry_policy() {
let policy = RetryPolicy::new(3, Duration::from_millis(100), true);
assert_eq!(policy.get_delay(0), Duration::from_millis(100));
assert_eq!(policy.get_delay(1), Duration::from_millis(200));
assert_eq!(policy.get_delay(2), Duration::from_millis(400));
}
#[test]
fn test_federation_manager() {
let endpoints = vec![
"http://endpoint1.com".to_string(),
"http://endpoint2.com".to_string(),
];
let mut manager = FederationManager::new(endpoints);
assert_eq!(manager.endpoints.len(), 2);
manager.add_endpoint("http://endpoint3.com".to_string());
assert_eq!(manager.endpoints.len(), 3);
manager.remove_endpoint("http://endpoint1.com");
assert_eq!(manager.endpoints.len(), 2);
}
#[test]
fn test_federated_result_merge() {
let result1 = VectorQueryResult::new(
vec![("doc1".to_string(), 0.9), ("doc2".to_string(), 0.8)],
Duration::from_millis(100),
);
let result2 = VectorQueryResult::new(
vec![("doc2".to_string(), 0.85), ("doc3".to_string(), 0.7)],
Duration::from_millis(120),
);
let federated_result = FederatedQueryResult {
endpoint_results: vec![
FederatedEndpointResult {
endpoint: "endpoint1".to_string(),
result: Some(result1),
error: None,
response_time: Duration::from_millis(100),
},
FederatedEndpointResult {
endpoint: "endpoint2".to_string(),
result: Some(result2),
error: None,
response_time: Duration::from_millis(120),
},
],
total_execution_time: Duration::from_millis(200),
successful_endpoints: 2,
failed_endpoints: 0,
};
let merged = federated_result.merge_results();
assert_eq!(merged.len(), 3); assert_eq!(merged[0].0, "doc1"); assert_eq!(federated_result.success_rate(), 100.0);
}
}