f19bd6e800
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
130 lines
5.2 KiB
Rust
130 lines
5.2 KiB
Rust
use alpha_id::embed::{EmbeddingStore, embed_batch, estimate};
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use alpha_id::ionos::IonosClient;
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#[test]
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fn cache_key_is_stable_sha256() {
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let k1 = EmbeddingStore::key("BAAI/bge-m3", "diabetes");
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let k2 = EmbeddingStore::key("BAAI/bge-m3", "diabetes");
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assert_eq!(k1, k2);
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assert_ne!(k1, EmbeddingStore::key("BAAI/bge-m3", "hypertonie"));
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assert_eq!(k1.len(), 64); // hex sha256
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}
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#[test]
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fn store_persists_and_reloads_vectors_resumably() {
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let dir = tempfile::tempdir().unwrap();
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let store = EmbeddingStore::open(dir.path().to_str().unwrap(), "BAAI/bge-m3").unwrap();
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assert!(store.get("diabetes").is_none());
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store.put("diabetes", &[0.1, 0.2, 0.3]).unwrap();
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let reopened = EmbeddingStore::open(dir.path().to_str().unwrap(), "BAAI/bge-m3").unwrap();
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assert_eq!(reopened.get("diabetes").unwrap(), vec![0.1, 0.2, 0.3]);
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assert!(reopened.has("diabetes")); // resume: skip already-embedded
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}
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#[test]
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fn estimate_reports_pending_count_and_chars() {
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let est = estimate(&["abc".to_string(), "de".to_string()]);
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assert_eq!(est.items, 2);
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assert_eq!(est.chars, 5);
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}
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// ---------------------------------------------------------------------------
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// Regression tests for embed_batch hardening (Fix 1 & Fix 2)
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// ---------------------------------------------------------------------------
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/// Spin up a tiny_http mock server that serves one fixed JSON response, then
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/// return an IonosClient pointed at it together with a temp token file.
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fn make_mock_client(
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response_body: &str,
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token_dir: &tempfile::TempDir,
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) -> (IonosClient, std::net::SocketAddr, std::thread::JoinHandle<()>) {
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use tiny_http::{Server, Response};
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let server = Server::http("127.0.0.1:0").unwrap();
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let addr = server.server_addr().to_ip().unwrap();
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// Write a dummy token file
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let token_path = token_dir.path().join("token.txt");
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std::fs::write(&token_path, "dummy-token").unwrap();
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let body = response_body.to_string();
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let handle = std::thread::spawn(move || {
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if let Ok(req) = server.recv() {
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let response = Response::from_string(body)
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.with_header(
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"Content-Type: application/json".parse::<tiny_http::Header>().unwrap(),
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);
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let _ = req.respond(response);
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}
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});
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let base_url = format!("http://{}", addr);
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let client = IonosClient::new(&base_url, token_path.to_str().unwrap()).unwrap();
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(client, addr, handle)
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}
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#[test]
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fn embed_batch_happy_path_index_pairing() {
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let token_dir = tempfile::tempdir().unwrap();
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let embed_dir = tempfile::tempdir().unwrap();
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let body = r#"{"data":[{"index":0,"embedding":[0.1,0.2]},{"index":1,"embedding":[0.3,0.4]}]}"#;
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let (client, _addr, handle) = make_mock_client(body, &token_dir);
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let store = EmbeddingStore::open(embed_dir.path().to_str().unwrap(), "test-model").unwrap();
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let texts = vec!["a".to_string(), "b".to_string()];
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let result = embed_batch(&client, &store, "test-model", &texts);
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handle.join().unwrap();
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assert_eq!(result.unwrap(), 2, "should return count of stored vectors");
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let va = store.get("a").expect("vector for 'a' must be cached");
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let vb = store.get("b").expect("vector for 'b' must be cached");
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assert_eq!(va, vec![0.1_f32, 0.2_f32], "vector for 'a' mismatch");
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assert_eq!(vb, vec![0.3_f32, 0.4_f32], "vector for 'b' mismatch");
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}
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#[test]
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fn embed_batch_length_mismatch_is_err_no_partial_write() {
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let token_dir = tempfile::tempdir().unwrap();
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let embed_dir = tempfile::tempdir().unwrap();
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// API returns only 1 item for 2 texts
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let body = r#"{"data":[{"index":0,"embedding":[0.1,0.2]}]}"#;
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let (client, _addr, handle) = make_mock_client(body, &token_dir);
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let store = EmbeddingStore::open(embed_dir.path().to_str().unwrap(), "test-model").unwrap();
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let texts = vec!["a".to_string(), "b".to_string()];
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let result = embed_batch(&client, &store, "test-model", &texts);
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handle.join().unwrap();
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assert!(result.is_err(), "length mismatch must be an Err, not Ok");
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assert!(store.get("b").is_none(), "partial write for 'b' must not occur");
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}
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#[test]
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fn embed_batch_reordered_index_maps_to_correct_text() {
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let token_dir = tempfile::tempdir().unwrap();
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let embed_dir = tempfile::tempdir().unwrap();
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// API returns items in reverse index order (index 1 first, index 0 second)
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let body = r#"{"data":[{"index":1,"embedding":[0.3,0.4]},{"index":0,"embedding":[0.1,0.2]}]}"#;
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let (client, _addr, handle) = make_mock_client(body, &token_dir);
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let store = EmbeddingStore::open(embed_dir.path().to_str().unwrap(), "test-model").unwrap();
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let texts = vec!["a".to_string(), "b".to_string()];
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let result = embed_batch(&client, &store, "test-model", &texts);
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handle.join().unwrap();
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assert_eq!(result.unwrap(), 2, "should return count of stored vectors");
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let va = store.get("a").expect("vector for 'a' must be cached");
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let vb = store.get("b").expect("vector for 'b' must be cached");
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// index 0 → texts[0] = "a" → [0.1, 0.2]; index 1 → texts[1] = "b" → [0.3, 0.4]
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assert_eq!(va, vec![0.1_f32, 0.2_f32], "reordered index: vector for 'a' mismatch");
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assert_eq!(vb, vec![0.3_f32, 0.4_f32], "reordered index: vector for 'b' mismatch");
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}
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