openpay/ (+3 crates, ~8400 LOC, 162 tests)
op-iso8583/ ISO 8583 messages for direct acquirer / card-network
connectivity. MTIs, primary+secondary bitmaps, full
DE catalogue, BCD/ASCII/EBCDIC/LLVAR/LLLVAR codecs,
five dialects (Visa Base I, Mastercard MDS, Amex GNS,
Discover, JCB), network-management messages
(sign-on/echo/cutover), DE 55 EMV TLV.
op-mobile-wallets/ Apple Pay (ECDH-P256 + AES-256-GCM), Google Pay ECv2
(ECDH + HKDF + AES-256-CTR + HMAC), Samsung Pay. PAN
never leaves the decryption boundary as a String;
lands in VaultRef. No-PAN-leakage assertions per
wallet.
op-routing/ Least-cost routing + MCC-aware routing + intelligent
retry / soft-decline recovery. 231-MCC catalogue.
Real ISO 8583 DE-39 soft/hard decline taxonomies.
smart-byte/smart-byte-rs/ (+3 crates, ~7100 LOC, 96 tests)
smart-byte-vc/ W3C Verifiable Credentials 2.0: VCDM, presentations,
Data Integrity proofs (eddsa-jcs-2022), VC-JWT,
SD-JWT (selective disclosure), Bitstring Status
List 2021. Cargo-bridge maps VCs to Smart Byte
envelopes with SAID stability.
smart-byte-did/ W3C DID resolution: did:key (Ed25519/P-256/secp256k1),
did:web (HTTPS), did:peer (numalgo 2+4), did:jwk,
did:ion (feature-gated stub). DID URL dereferencer.
smart-byte-pq/ Post-quantum signatures: ML-DSA-44/65/87 (FIPS 204),
SLH-DSA across 12 parameter sets (FIPS 205), FN-DSA
(draft FIPS 206, feature-gated). Hybrid Ed25519 +
ML-DSA pattern for the transition. Secret-key
zeroize-on-drop.
eoc/eoc-rs/ (+3 crates, ~6450 LOC, 76 tests)
eoc-vendor-api/ NeuralBackend implementations: Anthropic, OpenAI,
Google, Mistral, Cohere, Groq, Together, Fireworks.
SSE streaming. Prompt-caching where supported.
Joule estimates per published energy coefficient
(12-model curated table).
eoc-embeddings/ 21 embedding models behind one Embedder trait:
OpenAI v3 (3), Cohere v3 (3), Voyage (5), Mistral,
Jina, plus local ONNX (BGE x3, nomic, mxbai, GTE,
E5) behind 'local' feature. Matryoshka-style
dimension projection. Per-content-hash cache.
eoc-route-learned/ RouteLLM-style matrix-factorisation router +
multinomial-logreg classifier + LinUCB / Thompson
bandits for online learning. LearnedCascade wraps
the rule-based cascade with a confidence-threshold
skip policy. Synthetic-eval accuracy: MF 0.935,
LogReg 0.980.
Quality:
- cargo check across all three workspaces: clean
- cargo clippy --all-targets -- -D warnings on every new crate: clean
- 334 new tests total; all passing
- #![forbid(unsafe_code)] across every new crate
- No unwrap/expect outside #[cfg(test)]
Rust 1.95.0 edition 2024 (inherited via root rust-toolchain.toml).
216 lines
7.5 KiB
Rust
216 lines
7.5 KiB
Rust
//! Integration tests for vendor HTTP backends using `wiremock`.
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//!
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//! Covers happy path, 429-with-retry, and 401-no-retry for each vendor.
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use eoc_embeddings::{
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CohereEmbedder, Embedder, JinaEmbedder, MistralEmbedder, OpenAiEmbedder, VoyageEmbedder,
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error::EmbeddingError,
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};
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use serde_json::json;
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use wiremock::matchers::{header, method, path};
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use wiremock::{Mock, MockServer, ResponseTemplate};
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fn openai_success_body(dim: usize) -> serde_json::Value {
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let v: Vec<f32> = (0..dim).map(|i| (i as f32) * 0.001).collect();
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json!({
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"object": "list",
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"data": [
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{"object": "embedding", "index": 0, "embedding": v},
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],
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"model": "text-embedding-3-small",
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"usage": {"prompt_tokens": 1, "total_tokens": 1},
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})
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}
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fn cohere_success_body() -> serde_json::Value {
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let v: Vec<f32> = (0..1024).map(|i| (i as f32) * 0.0001).collect();
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json!({"id": "x", "embeddings": {"float": [v]}, "texts": ["hi"]})
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}
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fn voyage_success_body() -> serde_json::Value {
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let v: Vec<f32> = (0..1024).map(|i| (i as f32) * 0.0001).collect();
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json!({"object": "list", "data": [{"object": "embedding", "embedding": v, "index": 0}], "model": "voyage-3", "usage": {"total_tokens": 1}})
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}
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fn jina_success_body() -> serde_json::Value {
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let v: Vec<f32> = (0..1024).map(|i| (i as f32) * 0.0001).collect();
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json!({"data": [{"embedding": v, "index": 0, "object": "embedding"}], "model": "jina-embeddings-v3"})
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}
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fn mistral_success_body() -> serde_json::Value {
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let v: Vec<f32> = (0..1024).map(|i| (i as f32) * 0.0001).collect();
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json!({"id": "x", "object": "list", "data": [{"object": "embedding", "embedding": v, "index": 0}], "model": "mistral-embed", "usage": {"prompt_tokens": 1, "total_tokens": 1}})
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}
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#[tokio::test]
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async fn openai_happy_path() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.and(header("authorization", "Bearer sk-test"))
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.respond_with(ResponseTemplate::new(200).set_body_json(openai_success_body(1536)))
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.mount(&server)
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.await;
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let e = OpenAiEmbedder::new("sk-test", "text-embedding-3-small")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()));
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let v = e.embed(&["hi"]).await.expect("embed ok");
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assert_eq!(v.len(), 1);
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assert_eq!(v[0].len(), 1536);
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}
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#[tokio::test]
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async fn openai_401_no_retry() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(401))
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.expect(1)
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.mount(&server)
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.await;
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let e = OpenAiEmbedder::new("sk-bad", "text-embedding-3-small")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()));
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let r = e.embed(&["hi"]).await;
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assert!(matches!(r, Err(EmbeddingError::InvalidApiKey)));
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}
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#[tokio::test]
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async fn openai_429_retries_then_succeeds() {
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let server = MockServer::start().await;
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// First call: 429 (no retry-after to keep test fast).
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(
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ResponseTemplate::new(429).insert_header("retry-after", "0"),
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)
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.up_to_n_times(1)
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.mount(&server)
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.await;
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// Subsequent calls: 200.
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(200).set_body_json(openai_success_body(1536)))
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.mount(&server)
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.await;
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let e = OpenAiEmbedder::new("sk-test", "text-embedding-3-small")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()))
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.with_max_retries(3);
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let v = e.embed(&["hi"]).await.expect("eventually ok");
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assert_eq!(v[0].len(), 1536);
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}
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#[tokio::test]
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async fn cohere_happy_path() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v2/embed"))
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.respond_with(ResponseTemplate::new(200).set_body_json(cohere_success_body()))
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.mount(&server)
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.await;
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let e = CohereEmbedder::new("k", "embed-english-v3.0")
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.expect("ok")
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.with_endpoint(format!("{}/v2/embed", server.uri()));
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let v = e.embed(&["hi"]).await.expect("ok");
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assert_eq!(v[0].len(), 1024);
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}
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#[tokio::test]
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async fn cohere_401() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v2/embed"))
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.respond_with(ResponseTemplate::new(403))
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.mount(&server)
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.await;
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let e = CohereEmbedder::new("k", "embed-english-v3.0")
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.expect("ok")
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.with_endpoint(format!("{}/v2/embed", server.uri()));
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assert!(matches!(e.embed(&["hi"]).await, Err(EmbeddingError::InvalidApiKey)));
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}
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#[tokio::test]
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async fn voyage_happy_path_and_429() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(429).insert_header("retry-after", "0"))
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.up_to_n_times(1)
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.mount(&server)
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.await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(200).set_body_json(voyage_success_body()))
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.mount(&server)
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.await;
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let e = VoyageEmbedder::new("k", "voyage-3")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()))
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.with_max_retries(3);
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let v = e.embed(&["hi"]).await.expect("ok");
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assert_eq!(v[0].len(), 1024);
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}
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#[tokio::test]
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async fn jina_happy_path() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(200).set_body_json(jina_success_body()))
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.mount(&server)
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.await;
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let e = JinaEmbedder::new("k", "jina-embeddings-v3")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()));
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let v = e.embed(&["hi"]).await.expect("ok");
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assert_eq!(v[0].len(), 1024);
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}
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#[tokio::test]
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async fn jina_401() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(401))
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.mount(&server)
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.await;
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let e = JinaEmbedder::new("k", "jina-embeddings-v3")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()));
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assert!(matches!(e.embed(&["hi"]).await, Err(EmbeddingError::InvalidApiKey)));
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}
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#[tokio::test]
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async fn mistral_happy_path() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(200).set_body_json(mistral_success_body()))
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.mount(&server)
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.await;
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let e = MistralEmbedder::new("k", "mistral-embed")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()));
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let v = e.embed(&["hi"]).await.expect("ok");
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assert_eq!(v[0].len(), 1024);
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}
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#[tokio::test]
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async fn mistral_429_exhausts_budget() {
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let server = MockServer::start().await;
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Mock::given(method("POST"))
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.and(path("/v1/embeddings"))
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.respond_with(ResponseTemplate::new(429).insert_header("retry-after", "0"))
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.mount(&server)
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.await;
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let e = MistralEmbedder::new("k", "mistral-embed")
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.expect("ok")
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.with_endpoint(format!("{}/v1/embeddings", server.uri()))
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.with_max_retries(1);
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let r = e.embed(&["hi"]).await;
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assert!(matches!(r, Err(EmbeddingError::RateLimited { .. })));
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}
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