Files
cursor-byok/cursor-server/tests/provider_console.rs
T

158 lines
5.0 KiB
Rust

use cursor_server::{
model::{NewLlmCall, ProviderEndpointInput, ProviderModelInput, ProviderType, Usage},
store::Store,
};
async fn store() -> (tempfile::TempDir, Store) {
let directory = tempfile::tempdir().unwrap();
let url = format!("sqlite://{}", directory.path().join("test.db").display());
let store = Store::connect(&url).await.unwrap();
(directory, store)
}
#[tokio::test]
async fn provider_secret_is_write_only_and_model_hash_is_stable() {
let (_directory, store) = store().await;
let provider = store
.create_provider(&ProviderEndpointInput {
name: "Local".into(),
provider_type: ProviderType::OpenAiChat,
base_url: "https://example.com/v1/".into(),
api_key: Some("secret".into()),
custom_headers: serde_json::json!({"x-route":"one", "authorization":"header-secret"}),
})
.await
.unwrap();
assert!(provider.has_api_key);
assert!(!serde_json::to_string(&provider).unwrap().contains("secret"));
assert_eq!(
provider.custom_headers["authorization"],
serde_json::Value::Null
);
let updated = store
.update_provider(
provider.provider_id,
&ProviderEndpointInput {
name: "Renamed".into(),
provider_type: provider.provider_type,
base_url: provider.base_url.clone(),
api_key: None,
custom_headers: provider.custom_headers.clone(),
},
)
.await
.unwrap();
assert_eq!(updated.name, "Renamed");
assert_eq!(
store
.provider(provider.provider_id)
.await
.unwrap()
.unwrap()
.custom_headers["authorization"],
"header-secret"
);
let model = store
.save_provider_model(
provider.provider_id,
&ProviderModelInput {
model_id: "model-a".into(),
display_name: "Model A".into(),
enabled: true,
sort_order: 0,
context_window_tokens: Some(128_000),
max_output_tokens: Some(8_192),
reasoning_enabled: false,
reasoning_effort: None,
extra_params: serde_json::json!({"temperature":0}),
},
)
.await
.unwrap();
assert_eq!(model.model_hash, "f246010a");
}
#[tokio::test]
async fn call_summary_is_always_stored_and_payloads_follow_detailed_setting() {
let (_directory, store) = store().await;
let provider = store
.create_provider(&ProviderEndpointInput {
name: "Local".into(),
provider_type: ProviderType::OpenAiChat,
base_url: "https://example.com/v1".into(),
api_key: None,
custom_headers: serde_json::json!({}),
})
.await
.unwrap();
let model = store
.save_provider_model(
provider.provider_id,
&ProviderModelInput {
model_id: "model-a".into(),
display_name: "Model A".into(),
enabled: true,
sort_order: 0,
context_window_tokens: None,
max_output_tokens: None,
reasoning_enabled: false,
reasoning_effort: None,
extra_params: serde_json::json!({}),
},
)
.await
.unwrap();
let call = NewLlmCall {
call_id: "call-1".into(),
run_id: "run-1".into(),
conversation_id: "conversation-1".into(),
provider_call_index: 0,
model_hash: model.model_hash,
provider_type: ProviderType::OpenAiChat,
provider_url: provider.base_url,
model_id: model.model_id,
display_name: model.display_name,
message_count: 2,
tool_count: 3,
detailed: false,
};
store.start_llm_call(&call).await.unwrap();
store
.record_llm_request(
"call-1",
&serde_json::json!({}),
&serde_json::json!({"model":"model-a"}),
false,
)
.await
.unwrap();
store
.record_llm_chunk("call-1", 0, 4, b"data", false)
.await
.unwrap();
store
.record_llm_usage(
"call-1",
Usage {
input_tokens: Some(10),
output_tokens: Some(5),
total_tokens: Some(15),
..Default::default()
},
)
.await
.unwrap();
store
.finish_llm_call("call-1", "completed", Some("stop"), 9, None, None)
.await
.unwrap();
let summary = store.llm_call("call-1").await.unwrap().unwrap();
assert_eq!(summary.total_tokens, Some(15));
assert_eq!(summary.request_bytes, Some(19));
assert_eq!(summary.response_bytes, 4);
assert!(store.llm_call_request("call-1").await.unwrap().is_none());
assert!(store.llm_call_chunks("call-1").await.unwrap().is_empty());
}