conproxy 0.2.1

Cache proxy server for heterogeneous RAG/vector search backends with cascade, scope, and MCP
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87

//! Integration tests: OpenSearch via ElasticsearchAdapter (same wire protocol).
//!
//! Requires `--features integration-tests` and a running Docker daemon.

#![cfg(feature = "integration-tests")]

mod test_infra;

use conproxy::proxy::elasticsearch::{ElasticsearchAdapter, ElasticsearchConfig};
use conproxy::proxy::types::QueryRequest;
use conproxy::proxy::upstream::UpstreamAdapter;
use std::time::Duration;

#[tokio::test]
async fn opensearch_query_returns_results() {
    test_infra::containers::docker_check();
    let inst = test_infra::containers::opensearch_container().await;

    test_infra::containers::es_create_index(&inst.base_url, "test_docs", &["content", "title"])
        .await;

    test_infra::containers::es_index_docs(
        &inst.base_url,
        "test_docs",
        vec![
            serde_json::json!({
                "content": "the quick brown fox jumps over the lazy dog",
                "title": "Fox and Dog"
            }),
            serde_json::json!({
                "content": "alpha bravo charlie delta echo foxtrot",
                "title": "NATO Alphabet"
            }),
        ],
    )
    .await;

    let adapter = ElasticsearchAdapter::new(ElasticsearchConfig {
        base_url: inst.base_url.clone(),
        index: "test_docs".into(),
        timeout: Duration::from_secs(10),
        search_fields: vec!["content".into()],
        return_fields: vec![],
        api_key: None,
        score_threshold: None,
    })
    .expect("ElasticsearchAdapter::new for OpenSearch");

    let req = QueryRequest {
        query: "fox".into(),
        top_k: Some(5),
        priority: None,
        upstream_id: None,
        upstream_type: None,
    };
    let resp = adapter.query(&req).await.expect("query should succeed");
    assert!(
        !resp.results.is_empty(),
        "should return at least one result"
    );
    assert!(
        (resp.results[0].score - 1.0).abs() < 0.01,
        "top score should be very close to 1.0 (normalized), got {:.4}",
        resp.results[0].score
    );
}

#[tokio::test]
async fn opensearch_health_check() {
    test_infra::containers::docker_check();
    let inst = test_infra::containers::opensearch_container().await;
    let adapter = ElasticsearchAdapter::new(ElasticsearchConfig {
        base_url: inst.base_url.clone(),
        index: "dummy".into(),
        timeout: Duration::from_secs(5),
        search_fields: vec!["content".into()],
        return_fields: vec![],
        api_key: None,
        score_threshold: None,
    })
    .expect("ElasticsearchAdapter::new");
    let healthy = adapter
        .health_check()
        .await
        .expect("health_check should succeed");
    assert!(healthy, "OpenSearch should report healthy");
}