oxirs_vec/sparql_integration/
federation.rs

1//! Federated query execution for distributed vector search
2
3use super::config::{VectorQuery, VectorQueryResult, VectorServiceResult};
4use anyhow::{anyhow, Result};
5use serde_json::Value;
6use std::time::{Duration, Instant};
7
8/// Federated vector service for remote endpoint handling
9pub struct FederatedVectorService {
10    endpoint_url: String,
11    timeout: Duration,
12    client: Option<reqwest::Client>,
13}
14
15impl FederatedVectorService {
16    pub fn new(endpoint_url: String) -> Self {
17        Self {
18            endpoint_url,
19            timeout: Duration::from_secs(30),
20            client: None,
21        }
22    }
23
24    pub fn with_timeout(mut self, timeout: Duration) -> Self {
25        self.timeout = timeout;
26        self
27    }
28
29    /// Initialize the HTTP client (async version would use async/await)
30    pub fn initialize(&mut self) -> Result<()> {
31        let client = reqwest::Client::builder()
32            .timeout(self.timeout)
33            .build()
34            .map_err(|e| anyhow!("Failed to create HTTP client: {}", e))?;
35
36        self.client = Some(client);
37        Ok(())
38    }
39
40    /// Execute remote query (simplified synchronous version)
41    pub async fn execute_remote_query(&self, query: &VectorQuery) -> Result<VectorQueryResult> {
42        if self.client.is_none() {
43            return Err(anyhow!("Client not initialized"));
44        }
45
46        let _request_body = self.serialize_query(query)?;
47        let start_time = Instant::now();
48
49        // In a real implementation, this would make an actual HTTP request
50        // For now, we'll simulate the response
51        let simulated_response = self.simulate_remote_response(query)?;
52
53        let execution_time = start_time.elapsed();
54        let parsed_result = self.parse_query_response(simulated_response)?;
55
56        Ok(VectorQueryResult::new(parsed_result, execution_time))
57    }
58
59    /// Serialize query for transmission
60    fn serialize_query(&self, query: &VectorQuery) -> Result<String> {
61        let mut query_json = serde_json::Map::new();
62        query_json.insert(
63            "operation".to_string(),
64            Value::String(query.operation_type.clone()),
65        );
66
67        let args_json: Vec<Value> = query
68            .args
69            .iter()
70            .map(|arg| match arg {
71                super::config::VectorServiceArg::IRI(iri) => {
72                    let mut arg_obj = serde_json::Map::new();
73                    arg_obj.insert("type".to_string(), Value::String("iri".to_string()));
74                    arg_obj.insert("value".to_string(), Value::String(iri.clone()));
75                    Value::Object(arg_obj)
76                }
77                super::config::VectorServiceArg::Literal(lit) => {
78                    let mut arg_obj = serde_json::Map::new();
79                    arg_obj.insert("type".to_string(), Value::String("literal".to_string()));
80                    arg_obj.insert("value".to_string(), Value::String(lit.clone()));
81                    Value::Object(arg_obj)
82                }
83                super::config::VectorServiceArg::Number(num) => {
84                    let mut arg_obj = serde_json::Map::new();
85                    arg_obj.insert("type".to_string(), Value::String("number".to_string()));
86                    arg_obj.insert(
87                        "value".to_string(),
88                        Value::Number(
89                            serde_json::Number::from_f64(*num as f64)
90                                .expect("finite f64 should produce valid JSON number"),
91                        ),
92                    );
93                    Value::Object(arg_obj)
94                }
95                super::config::VectorServiceArg::String(s) => {
96                    let mut arg_obj = serde_json::Map::new();
97                    arg_obj.insert("type".to_string(), Value::String("string".to_string()));
98                    arg_obj.insert("value".to_string(), Value::String(s.clone()));
99                    Value::Object(arg_obj)
100                }
101                super::config::VectorServiceArg::Vector(v) => {
102                    let mut arg_obj = serde_json::Map::new();
103                    arg_obj.insert("type".to_string(), Value::String("vector".to_string()));
104                    arg_obj.insert(
105                        "dimensions".to_string(),
106                        Value::Number(serde_json::Number::from(v.len())),
107                    );
108                    let values: Vec<Value> = v
109                        .as_slice()
110                        .iter()
111                        .map(|&f| {
112                            Value::Number(
113                                serde_json::Number::from_f64(f as f64)
114                                    .expect("finite f64 should produce valid JSON number"),
115                            )
116                        })
117                        .collect();
118                    arg_obj.insert("values".to_string(), Value::Array(values));
119                    Value::Object(arg_obj)
120                }
121            })
122            .collect();
123
124        query_json.insert("args".to_string(), Value::Array(args_json));
125
126        let metadata_json: serde_json::Map<String, Value> = query
127            .metadata
128            .iter()
129            .map(|(k, v)| (k.clone(), Value::String(v.clone())))
130            .collect();
131        query_json.insert("metadata".to_string(), Value::Object(metadata_json));
132
133        serde_json::to_string(&Value::Object(query_json))
134            .map_err(|e| anyhow!("Failed to serialize query: {}", e))
135    }
136
137    /// Simulate remote response (in real implementation, this would be actual HTTP call)
138    fn simulate_remote_response(&self, query: &VectorQuery) -> Result<Value> {
139        // Simulate different responses based on operation type
140        match query.operation_type.as_str() {
141            "similarity" => {
142                let mut response = serde_json::Map::new();
143                response.insert(
144                    "type".to_string(),
145                    Value::String("similarity_list".to_string()),
146                );
147
148                let results = vec![
149                    serde_json::json!({"resource": "http://example.org/sim1", "score": 0.85}),
150                    serde_json::json!({"resource": "http://example.org/sim2", "score": 0.78}),
151                ];
152                response.insert("value".to_string(), Value::Array(results));
153                Ok(Value::Object(response))
154            }
155            "search" => {
156                let mut response = serde_json::Map::new();
157                response.insert(
158                    "type".to_string(),
159                    Value::String("similarity_list".to_string()),
160                );
161
162                let results = vec![
163                    serde_json::json!({"resource": "http://example.org/doc1", "score": 0.92}),
164                    serde_json::json!({"resource": "http://example.org/doc2", "score": 0.88}),
165                    serde_json::json!({"resource": "http://example.org/doc3", "score": 0.75}),
166                ];
167                response.insert("value".to_string(), Value::Array(results));
168                Ok(Value::Object(response))
169            }
170            "embed" => {
171                let mut response = serde_json::Map::new();
172                response.insert("type".to_string(), Value::String("vector".to_string()));
173                response.insert(
174                    "dimensions".to_string(),
175                    Value::Number(serde_json::Number::from(384)),
176                );
177
178                // Simulate a 384-dimensional embedding vector
179                let vector_values: Vec<Value> = (0..384)
180                    .map(|i| {
181                        Value::Number(
182                            serde_json::Number::from_f64((i as f64 * 0.01) % 1.0)
183                                .expect("finite f64 should produce valid JSON number"),
184                        )
185                    })
186                    .collect();
187                response.insert("values".to_string(), Value::Array(vector_values));
188                Ok(Value::Object(response))
189            }
190            _ => Err(anyhow!(
191                "Unsupported operation for remote execution: {}",
192                query.operation_type
193            )),
194        }
195    }
196
197    /// Parse response from remote service
198    fn parse_service_response(&self, response: Value) -> Result<VectorServiceResult> {
199        let result_type = response["type"]
200            .as_str()
201            .ok_or_else(|| anyhow!("Missing result type"))?;
202
203        match result_type {
204            "similarity_list" => {
205                let results_json = response["value"]
206                    .as_array()
207                    .ok_or_else(|| anyhow!("Invalid similarity list format"))?;
208
209                let mut results = Vec::new();
210                for item in results_json {
211                    let resource = item["resource"]
212                        .as_str()
213                        .ok_or_else(|| anyhow!("Missing resource in similarity result"))?;
214                    let score = item["score"]
215                        .as_f64()
216                        .ok_or_else(|| anyhow!("Missing score in similarity result"))?
217                        as f32;
218                    results.push((resource.to_string(), score));
219                }
220
221                Ok(VectorServiceResult::SimilarityList(results))
222            }
223            "number" => {
224                let value = response["value"]
225                    .as_f64()
226                    .ok_or_else(|| anyhow!("Invalid number format"))?
227                    as f32;
228                Ok(VectorServiceResult::Number(value))
229            }
230            "string" => {
231                let value = response["value"]
232                    .as_str()
233                    .ok_or_else(|| anyhow!("Invalid string format"))?;
234                Ok(VectorServiceResult::String(value.to_string()))
235            }
236            "vector" => {
237                let dimensions = response["dimensions"]
238                    .as_u64()
239                    .ok_or_else(|| anyhow!("Missing vector dimensions"))?
240                    as usize;
241                let values = response["values"]
242                    .as_array()
243                    .ok_or_else(|| anyhow!("Missing vector values"))?;
244
245                let mut vector_values = Vec::new();
246                for value in values {
247                    let f_val = value
248                        .as_f64()
249                        .ok_or_else(|| anyhow!("Invalid vector value"))?
250                        as f32;
251                    vector_values.push(f_val);
252                }
253
254                if vector_values.len() != dimensions {
255                    return Err(anyhow!("Vector dimensions mismatch"));
256                }
257
258                Ok(VectorServiceResult::Vector(crate::Vector::new(
259                    vector_values,
260                )))
261            }
262            "clusters" => {
263                let clusters_json = response["value"]
264                    .as_array()
265                    .ok_or_else(|| anyhow!("Invalid clusters format"))?;
266
267                let mut clusters = Vec::new();
268                for cluster_json in clusters_json {
269                    let cluster_array = cluster_json
270                        .as_array()
271                        .ok_or_else(|| anyhow!("Invalid cluster format"))?;
272
273                    let mut cluster = Vec::new();
274                    for member in cluster_array {
275                        let member_str = member
276                            .as_str()
277                            .ok_or_else(|| anyhow!("Invalid cluster member"))?;
278                        cluster.push(member_str.to_string());
279                    }
280                    clusters.push(cluster);
281                }
282
283                Ok(VectorServiceResult::Clusters(clusters))
284            }
285            "boolean" => {
286                let value = response["value"]
287                    .as_bool()
288                    .ok_or_else(|| anyhow!("Invalid boolean format"))?;
289                Ok(VectorServiceResult::Boolean(value))
290            }
291            _ => Err(anyhow!("Unknown result type: {}", result_type)),
292        }
293    }
294
295    /// Parse query response
296    fn parse_query_response(&self, response: Value) -> Result<Vec<(String, f32)>> {
297        let results_json = response["value"]
298            .as_array()
299            .ok_or_else(|| anyhow!("Missing results in query response"))?;
300
301        let mut results = Vec::new();
302        for result in results_json {
303            let resource = result["resource"]
304                .as_str()
305                .ok_or_else(|| anyhow!("Missing resource in result"))?;
306            let score = result["score"]
307                .as_f64()
308                .ok_or_else(|| anyhow!("Missing score in result"))? as f32;
309            results.push((resource.to_string(), score));
310        }
311
312        Ok(results)
313    }
314}
315
316/// Federated query manager for handling multiple endpoints
317pub struct FederationManager {
318    endpoints: Vec<FederatedVectorService>,
319    load_balancer: LoadBalancer,
320    retry_policy: RetryPolicy,
321}
322
323impl FederationManager {
324    pub fn new(endpoint_urls: Vec<String>) -> Self {
325        let endpoints = endpoint_urls
326            .into_iter()
327            .map(FederatedVectorService::new)
328            .collect();
329
330        Self {
331            endpoints,
332            load_balancer: LoadBalancer::new(),
333            retry_policy: RetryPolicy::default(),
334        }
335    }
336
337    /// Execute federated query across multiple endpoints
338    pub async fn execute_federated_query(
339        &mut self,
340        endpoints: &[String],
341        query: &VectorQuery,
342    ) -> Result<FederatedQueryResult> {
343        if endpoints.is_empty() {
344            return Err(anyhow!("No endpoints specified for federated query"));
345        }
346
347        let mut federated_results = Vec::new();
348        let start_time = Instant::now();
349
350        // Execute query on all endpoints
351        for endpoint in endpoints {
352            let federated_service = FederatedVectorService::new(endpoint.clone());
353
354            match federated_service.execute_remote_query(query).await {
355                Ok(result) => {
356                    federated_results.push(FederatedEndpointResult {
357                        endpoint: endpoint.clone(),
358                        result: Some(result),
359                        error: None,
360                        response_time: start_time.elapsed(),
361                    });
362                }
363                Err(e) => {
364                    federated_results.push(FederatedEndpointResult {
365                        endpoint: endpoint.clone(),
366                        result: None,
367                        error: Some(e.to_string()),
368                        response_time: start_time.elapsed(),
369                    });
370                }
371            }
372        }
373
374        let successful_count = federated_results
375            .iter()
376            .filter(|r| r.result.is_some())
377            .count();
378        let failed_count = federated_results.len() - successful_count;
379
380        Ok(FederatedQueryResult {
381            endpoint_results: federated_results,
382            total_execution_time: start_time.elapsed(),
383            successful_endpoints: successful_count,
384            failed_endpoints: failed_count,
385        })
386    }
387
388    /// Add endpoint to federation
389    pub fn add_endpoint(&mut self, endpoint_url: String) {
390        let service = FederatedVectorService::new(endpoint_url);
391        self.endpoints.push(service);
392    }
393
394    /// Remove endpoint from federation
395    pub fn remove_endpoint(&mut self, endpoint_url: &str) {
396        self.endpoints
397            .retain(|service| service.endpoint_url != endpoint_url);
398    }
399
400    /// Get endpoint health status
401    pub async fn check_endpoint_health(&self, endpoint_url: &str) -> bool {
402        // Simplified health check - in real implementation would ping endpoint
403        !endpoint_url.is_empty()
404    }
405}
406
407/// Load balancer for federated queries
408pub struct LoadBalancer {
409    strategy: LoadBalancingStrategy,
410    endpoint_weights: std::collections::HashMap<String, f32>,
411}
412
413#[derive(Debug, Clone)]
414pub enum LoadBalancingStrategy {
415    RoundRobin,
416    WeightedRoundRobin,
417    LeastConnections,
418    HealthBased,
419}
420
421impl LoadBalancer {
422    pub fn new() -> Self {
423        Self {
424            strategy: LoadBalancingStrategy::RoundRobin,
425            endpoint_weights: std::collections::HashMap::new(),
426        }
427    }
428
429    pub fn select_endpoints(&self, available_endpoints: &[String], count: usize) -> Vec<String> {
430        match self.strategy {
431            LoadBalancingStrategy::RoundRobin => {
432                available_endpoints.iter().take(count).cloned().collect()
433            }
434            LoadBalancingStrategy::WeightedRoundRobin => {
435                // Simplified weighted selection
436                let mut selected = Vec::new();
437                for endpoint in available_endpoints.iter().take(count) {
438                    let weight = self.endpoint_weights.get(endpoint).copied().unwrap_or(1.0);
439                    if weight > 0.5 {
440                        selected.push(endpoint.clone());
441                    }
442                }
443                selected
444            }
445            _ => available_endpoints.iter().take(count).cloned().collect(),
446        }
447    }
448
449    pub fn set_endpoint_weight(&mut self, endpoint: String, weight: f32) {
450        self.endpoint_weights.insert(endpoint, weight);
451    }
452}
453
454impl Default for LoadBalancer {
455    fn default() -> Self {
456        Self::new()
457    }
458}
459
460/// Retry policy for failed requests
461#[derive(Debug, Clone)]
462pub struct RetryPolicy {
463    max_retries: usize,
464    base_delay: Duration,
465    exponential_backoff: bool,
466}
467
468impl RetryPolicy {
469    pub fn new(max_retries: usize, base_delay: Duration, exponential_backoff: bool) -> Self {
470        Self {
471            max_retries,
472            base_delay,
473            exponential_backoff,
474        }
475    }
476
477    pub fn get_delay(&self, attempt: usize) -> Duration {
478        if self.exponential_backoff {
479            self.base_delay * 2_u32.pow(attempt as u32)
480        } else {
481            self.base_delay
482        }
483    }
484}
485
486impl Default for RetryPolicy {
487    fn default() -> Self {
488        Self::new(3, Duration::from_millis(100), true)
489    }
490}
491
492/// Result of federated query execution
493#[derive(Debug, Clone)]
494pub struct FederatedQueryResult {
495    pub endpoint_results: Vec<FederatedEndpointResult>,
496    pub total_execution_time: Duration,
497    pub successful_endpoints: usize,
498    pub failed_endpoints: usize,
499}
500
501impl FederatedQueryResult {
502    /// Merge results from all successful endpoints
503    pub fn merge_results(&self) -> Vec<(String, f32)> {
504        let mut all_results = Vec::new();
505
506        for endpoint_result in &self.endpoint_results {
507            if let Some(ref result) = endpoint_result.result {
508                all_results.extend(result.results.clone());
509            }
510        }
511
512        // Simple deduplication and sorting
513        all_results.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
514        all_results.dedup_by(|a, b| a.0 == b.0);
515
516        all_results
517    }
518
519    /// Get success rate as percentage
520    pub fn success_rate(&self) -> f64 {
521        if self.endpoint_results.is_empty() {
522            0.0
523        } else {
524            (self.successful_endpoints as f64 / self.endpoint_results.len() as f64) * 100.0
525        }
526    }
527}
528
529/// Result from individual federated endpoint
530#[derive(Debug, Clone)]
531pub struct FederatedEndpointResult {
532    pub endpoint: String,
533    pub result: Option<VectorQueryResult>,
534    pub error: Option<String>,
535    pub response_time: Duration,
536}
537
538#[cfg(test)]
539mod tests {
540    use super::*;
541
542    #[test]
543    fn test_federated_service_creation() {
544        let service = FederatedVectorService::new("http://localhost:8080".to_string());
545        assert_eq!(service.endpoint_url, "http://localhost:8080");
546        assert_eq!(service.timeout, Duration::from_secs(30));
547    }
548
549    #[test]
550    fn test_load_balancer() {
551        let balancer = LoadBalancer::new();
552        let endpoints = vec![
553            "http://endpoint1.com".to_string(),
554            "http://endpoint2.com".to_string(),
555            "http://endpoint3.com".to_string(),
556        ];
557
558        let selected = balancer.select_endpoints(&endpoints, 2);
559        assert_eq!(selected.len(), 2);
560        assert_eq!(selected[0], endpoints[0]);
561        assert_eq!(selected[1], endpoints[1]);
562    }
563
564    #[test]
565    fn test_retry_policy() {
566        let policy = RetryPolicy::new(3, Duration::from_millis(100), true);
567
568        assert_eq!(policy.get_delay(0), Duration::from_millis(100));
569        assert_eq!(policy.get_delay(1), Duration::from_millis(200));
570        assert_eq!(policy.get_delay(2), Duration::from_millis(400));
571    }
572
573    #[test]
574    fn test_federation_manager() {
575        let endpoints = vec![
576            "http://endpoint1.com".to_string(),
577            "http://endpoint2.com".to_string(),
578        ];
579
580        let mut manager = FederationManager::new(endpoints);
581        assert_eq!(manager.endpoints.len(), 2);
582
583        manager.add_endpoint("http://endpoint3.com".to_string());
584        assert_eq!(manager.endpoints.len(), 3);
585
586        manager.remove_endpoint("http://endpoint1.com");
587        assert_eq!(manager.endpoints.len(), 2);
588    }
589
590    #[test]
591    fn test_federated_result_merge() {
592        let result1 = VectorQueryResult::new(
593            vec![("doc1".to_string(), 0.9), ("doc2".to_string(), 0.8)],
594            Duration::from_millis(100),
595        );
596
597        let result2 = VectorQueryResult::new(
598            vec![("doc2".to_string(), 0.85), ("doc3".to_string(), 0.7)],
599            Duration::from_millis(120),
600        );
601
602        let federated_result = FederatedQueryResult {
603            endpoint_results: vec![
604                FederatedEndpointResult {
605                    endpoint: "endpoint1".to_string(),
606                    result: Some(result1),
607                    error: None,
608                    response_time: Duration::from_millis(100),
609                },
610                FederatedEndpointResult {
611                    endpoint: "endpoint2".to_string(),
612                    result: Some(result2),
613                    error: None,
614                    response_time: Duration::from_millis(120),
615                },
616            ],
617            total_execution_time: Duration::from_millis(200),
618            successful_endpoints: 2,
619            failed_endpoints: 0,
620        };
621
622        let merged = federated_result.merge_results();
623        assert_eq!(merged.len(), 3); // doc1, doc2, doc3 (deduplicated)
624        assert_eq!(merged[0].0, "doc1"); // Highest score first
625        assert_eq!(federated_result.success_rate(), 100.0);
626    }
627}
oxirs_vec/sparql_integration/federation.rs

oxirs_vec/sparql_integration/
federation.rs
