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

oxirs_vec/sparql_integration/
federation.rs
