Files
Aether/apps/aether-gateway/src/tests/usage/direct.rs
T
stabey eda94913cf test(gateway): 修复 usage 同步测试栈溢出
CI 中 gateway_records_pending_usage_before_execution_runtime_sync_result_arrives 仍会在默认测试栈上溢出。

复用 large-stack tokio runtime 包装该测试,避免 gateway 全量测试在无业务失败时被 SIGABRT 中断。
2026-05-31 02:54:11 +08:00

863 lines
36 KiB
Rust

use super::{
any, build_router_with_state, build_state_with_execution_runtime_override, hash_api_key, json,
sample_local_openai_auth_snapshot, sample_local_openai_candidate_row,
sample_local_openai_endpoint, sample_local_openai_key, sample_local_openai_provider,
start_server, Arc, Body, GatewayDataState, HeaderValue, InMemoryAuthApiKeySnapshotRepository,
InMemoryMinimalCandidateSelectionReadRepository, InMemoryProviderCatalogReadRepository,
InMemoryRequestCandidateRepository, InMemoryUsageReadRepository, Json, Request, Response,
Router, StatusCode, UsageReadRepository, UsageRuntimeConfig, DEVELOPMENT_ENCRYPTION_KEY,
TRACE_ID_HEADER,
};
fn large_request_body(stream: bool) -> String {
let large_message = "x".repeat(128 * 1024);
serde_json::to_string(&json!({
"model": "gpt-5",
"messages": [{"role": "user", "content": large_message}],
"stream": stream
}))
.expect("request body should encode")
}
fn run_async_test_on_large_stack<F>(name: &'static str, future: F)
where
F: std::future::Future<Output = ()> + Send + 'static,
{
let handle = std::thread::Builder::new()
.name(name.to_string())
.stack_size(16 * 1024 * 1024)
.spawn(move || {
tokio::runtime::Builder::new_current_thread()
.enable_all()
.build()
.expect("tokio runtime should build")
.block_on(future);
})
.expect("large-stack usage direct test thread should spawn");
if let Err(payload) = handle.join() {
std::panic::resume_unwind(payload);
}
}
#[tokio::test]
async fn gateway_records_usage_for_execution_runtime_sync_when_runtime_enabled() {
let usage_repository = Arc::new(InMemoryUsageReadRepository::default());
let request_candidate_repository = Arc::new(InMemoryRequestCandidateRepository::default());
let upstream = Router::new().route(
"/api/internal/gateway/report-sync",
any(|_request: Request| async move { Json(json!({"ok": true})) }),
);
let execution_runtime = Router::new().route(
"/v1/execute/sync",
any(|_request: Request| async move {
Json(json!({
"request_id": "req-usage-sync-123",
"status_code": 200,
"headers": {
"content-type": "application/json"
},
"body": {
"json_body": {
"id": "chatcmpl-usage-sync-123",
"usage": {
"input_tokens": 3,
"output_tokens": 5,
"total_tokens": 8
}
}
},
"telemetry": {
"elapsed_ms": 45
}
}))
}),
);
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(hash_api_key("sk-client-openai-usage-sync")),
sample_local_openai_auth_snapshot("api-key-usage-sync-123", "user-usage-sync-123"),
)]));
let candidate_selection_repository =
Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
sample_local_openai_candidate_row(),
]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![sample_local_openai_provider()],
vec![sample_local_openai_endpoint()],
vec![sample_local_openai_key()],
));
let (upstream_url, upstream_handle) = start_server(upstream).await;
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let gateway_state =
build_state_with_execution_runtime_override(execution_runtime_url)
.with_data_state_for_tests(
GatewayDataState::with_auth_candidate_selection_provider_catalog_request_candidates_and_usage_for_tests(
auth_repository,
candidate_selection_repository,
provider_catalog_repository,
Arc::clone(&request_candidate_repository),
Arc::clone(&usage_repository),
DEVELOPMENT_ENCRYPTION_KEY,
),
)
.with_usage_runtime_for_tests(UsageRuntimeConfig {
enabled: true,
..UsageRuntimeConfig::default()
});
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/chat/completions"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(
http::header::AUTHORIZATION,
"Bearer sk-client-openai-usage-sync",
)
.header(TRACE_ID_HEADER, "req-usage-sync-123")
.body("{\"model\":\"gpt-5\",\"messages\":[]}")
.send()
.await
.expect("request should succeed");
assert_eq!(response.status(), StatusCode::OK);
let mut stored = None;
for _ in 0..50 {
stored = usage_repository
.find_by_request_id("req-usage-sync-123")
.await
.expect("usage lookup should succeed");
if stored
.as_ref()
.is_some_and(|usage| usage.status == "completed")
{
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let stored = stored.expect("usage should be recorded");
assert_eq!(stored.status, "completed");
assert_eq!(stored.billing_status, "pending");
assert_eq!(stored.total_tokens, 8);
assert_eq!(stored.response_time_ms, Some(45));
assert_eq!(stored.user_id.as_deref(), Some("user-usage-sync-123"));
gateway_handle.abort();
execution_runtime_handle.abort();
upstream_handle.abort();
}
#[test]
fn gateway_records_pending_usage_before_execution_runtime_sync_result_arrives() {
run_async_test_on_large_stack(
"gateway_records_pending_usage_before_execution_runtime_sync_result_arrives",
gateway_records_pending_usage_before_execution_runtime_sync_result_arrives_impl(),
);
}
async fn gateway_records_pending_usage_before_execution_runtime_sync_result_arrives_impl() {
let usage_repository = Arc::new(InMemoryUsageReadRepository::default());
let request_candidate_repository = Arc::new(InMemoryRequestCandidateRepository::default());
let execution_request_started = Arc::new(tokio::sync::Notify::new());
let allow_execution_response = Arc::new(tokio::sync::Notify::new());
let upstream = Router::new().route(
"/api/internal/gateway/report-sync",
any(|_request: Request| async move { Json(json!({"ok": true})) }),
);
let execution_runtime = Router::new().route(
"/v1/execute/sync",
any({
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
move |_request: Request| {
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
async move {
execution_request_started.notify_one();
allow_execution_response.notified().await;
Json(json!({
"request_id": "req-usage-sync-pending-123",
"status_code": 200,
"headers": {
"content-type": "application/json"
},
"body": {
"json_body": {
"id": "chatcmpl-usage-sync-pending-123",
"usage": {
"input_tokens": 3,
"output_tokens": 5,
"total_tokens": 8
}
}
},
"telemetry": {
"elapsed_ms": 45
}
}))
}
}
}),
);
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(hash_api_key("sk-client-openai-usage-sync-pending")),
sample_local_openai_auth_snapshot(
"api-key-usage-sync-pending-123",
"user-usage-sync-pending-123",
),
)]));
let candidate_selection_repository =
Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
sample_local_openai_candidate_row(),
]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![sample_local_openai_provider()],
vec![sample_local_openai_endpoint()],
vec![sample_local_openai_key()],
));
let (upstream_url, upstream_handle) = start_server(upstream).await;
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let gateway_state =
build_state_with_execution_runtime_override(execution_runtime_url)
.with_data_state_for_tests(
GatewayDataState::with_auth_candidate_selection_provider_catalog_request_candidates_and_usage_for_tests(
auth_repository,
candidate_selection_repository,
provider_catalog_repository,
Arc::clone(&request_candidate_repository),
Arc::clone(&usage_repository),
DEVELOPMENT_ENCRYPTION_KEY,
),
)
.with_usage_runtime_for_tests(UsageRuntimeConfig {
enabled: true,
..UsageRuntimeConfig::default()
});
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let request_task = tokio::spawn({
let gateway_url = gateway_url.clone();
async move {
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/chat/completions"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(
http::header::AUTHORIZATION,
"Bearer sk-client-openai-usage-sync-pending",
)
.header(TRACE_ID_HEADER, "req-usage-sync-pending-123")
.body("{\"model\":\"gpt-5\",\"messages\":[]}")
.send()
.await
.expect("request should succeed");
let status = response.status();
let body = response.text().await.expect("body should read");
(status, body)
}
});
execution_request_started.notified().await;
let mut pending = None;
for _ in 0..50 {
pending = usage_repository
.find_by_request_id("req-usage-sync-pending-123")
.await
.expect("usage lookup should succeed");
if pending
.as_ref()
.is_some_and(|stored| stored.status == "pending")
{
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let pending = pending.expect("pending usage should be recorded before sync result resolves");
assert_eq!(pending.status, "pending");
assert_eq!(pending.billing_status, "pending");
assert_eq!(pending.response_time_ms, None);
allow_execution_response.notify_one();
let (status, _body) = request_task.await.expect("request task should join");
assert_eq!(status, StatusCode::OK);
let mut stored = None;
for _ in 0..50 {
stored = usage_repository
.find_by_request_id("req-usage-sync-pending-123")
.await
.expect("usage lookup should succeed");
if stored.as_ref().is_some_and(|row| row.status == "completed") {
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let stored = stored.expect("usage should be finalized");
assert_eq!(stored.status, "completed");
assert_eq!(stored.response_time_ms, Some(45));
gateway_handle.abort();
execution_runtime_handle.abort();
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_keeps_pending_sync_usage_lightweight_for_large_request_body() {
let usage_repository = Arc::new(InMemoryUsageReadRepository::default());
let request_candidate_repository = Arc::new(InMemoryRequestCandidateRepository::default());
let execution_request_started = Arc::new(tokio::sync::Notify::new());
let allow_execution_response = Arc::new(tokio::sync::Notify::new());
let upstream = Router::new().route(
"/api/internal/gateway/report-sync",
any(|_request: Request| async move { Json(json!({"ok": true})) }),
);
let execution_runtime = Router::new().route(
"/v1/execute/sync",
any({
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
move |_request: Request| {
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
async move {
execution_request_started.notify_one();
allow_execution_response.notified().await;
Json(json!({
"request_id": "req-usage-sync-large-pending-123",
"status_code": 200,
"headers": {
"content-type": "application/json"
},
"body": {
"json_body": {
"id": "chatcmpl-usage-sync-large-pending-123",
"usage": {
"input_tokens": 3,
"output_tokens": 5,
"total_tokens": 8
}
}
},
"telemetry": {
"elapsed_ms": 45
}
}))
}
}
}),
);
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(hash_api_key("sk-client-openai-usage-sync-large-pending")),
sample_local_openai_auth_snapshot(
"api-key-usage-sync-large-pending-123",
"user-usage-sync-large-pending-123",
),
)]));
let candidate_selection_repository =
Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
sample_local_openai_candidate_row(),
]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![sample_local_openai_provider()],
vec![sample_local_openai_endpoint()],
vec![sample_local_openai_key()],
));
let (_upstream_url, upstream_handle) = start_server(upstream).await;
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let gateway_state = build_state_with_execution_runtime_override(execution_runtime_url)
.with_data_state_for_tests(
GatewayDataState::with_auth_candidate_selection_provider_catalog_request_candidates_and_usage_for_tests(
auth_repository,
candidate_selection_repository,
provider_catalog_repository,
Arc::clone(&request_candidate_repository),
Arc::clone(&usage_repository),
DEVELOPMENT_ENCRYPTION_KEY,
),
)
.with_usage_runtime_for_tests(UsageRuntimeConfig {
enabled: true,
..UsageRuntimeConfig::default()
});
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let request_task = tokio::spawn({
let gateway_url = gateway_url.clone();
async move {
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/chat/completions"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(
http::header::AUTHORIZATION,
"Bearer sk-client-openai-usage-sync-large-pending",
)
.header(TRACE_ID_HEADER, "req-usage-sync-large-pending-123")
.body(large_request_body(false))
.send()
.await
.expect("request should succeed");
let status = response.status();
let body = response.text().await.expect("body should read");
(status, body)
}
});
execution_request_started.notified().await;
let mut pending = None;
for _ in 0..50 {
pending = usage_repository
.find_by_request_id("req-usage-sync-large-pending-123")
.await
.expect("usage lookup should succeed");
if pending
.as_ref()
.is_some_and(|stored| stored.status == "pending")
{
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let pending = pending.expect("pending usage should be recorded before sync result resolves");
assert_eq!(pending.status, "pending");
assert!(pending.request_headers.is_none());
assert!(pending.request_body.is_none());
assert!(pending.provider_request_headers.is_none());
assert!(pending.provider_request_body.is_none());
assert!(pending.response_headers.is_none());
assert!(pending.client_response_headers.is_none());
allow_execution_response.notify_one();
let (status, _body) = request_task.await.expect("request task should join");
assert_eq!(status, StatusCode::OK);
gateway_handle.abort();
execution_runtime_handle.abort();
upstream_handle.abort();
}
async fn gateway_records_usage_for_execution_runtime_stream_when_runtime_enabled() {
let usage_repository = Arc::new(InMemoryUsageReadRepository::default());
let upstream = Router::new()
.route(
"/api/internal/gateway/plan-stream",
any(|_request: Request| async move {
Json(json!({
"action": "execution_runtime_stream",
"plan_kind": "openai_chat_stream",
"plan": {
"request_id": "req-usage-stream-123",
"provider_name": "openai",
"provider_id": "provider-usage-stream-123",
"endpoint_id": "endpoint-usage-stream-123",
"key_id": "key-usage-stream-123",
"method": "POST",
"url": "https://api.openai.example/v1/chat/completions",
"headers": {
"authorization": "Bearer upstream-key",
"content-type": "application/json"
},
"body": {
"json_body": {
"model": "gpt-5",
"messages": [],
"stream": true
}
},
"stream": true,
"client_api_format": "openai:chat",
"provider_api_format": "openai:chat",
"model_name": "gpt-5"
},
"report_kind": "openai_chat_stream_success",
"report_context": {
"user_id": "user-usage-stream-123",
"api_key_id": "api-key-usage-stream-123",
"provider_name": "openai",
"provider_id": "provider-usage-stream-123",
"endpoint_id": "endpoint-usage-stream-123",
"key_id": "key-usage-stream-123",
"client_api_format": "openai:chat",
"provider_api_format": "openai:chat",
"model": "gpt-5",
"mapped_model": "gpt-5"
}
}))
}),
)
.route(
"/api/internal/gateway/report-stream",
any(|_request: Request| async move { Json(json!({"ok": true})) }),
);
let execution_runtime = Router::new().route(
"/v1/execute/stream",
any(|_request: Request| async move {
let frames = concat!(
"{\"type\":\"headers\",\"payload\":{\"kind\":\"headers\",\"status_code\":200,\"headers\":{\"content-type\":\"text/event-stream\"}}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"data: {\\\"id\\\":\\\"chatcmpl-usage-stream-123\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"content\\\":\\\"hello\\\"}}],\\\"usage\\\":{\\\"input_tokens\\\":2,\\\"output_tokens\\\":4,\\\"total_tokens\\\":6}}\\n\\n\"}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"data: [DONE]\\n\\n\"}}\n",
"{\"type\":\"telemetry\",\"payload\":{\"kind\":\"telemetry\",\"telemetry\":{\"elapsed_ms\":51,\"ttfb_ms\":19}}}\n",
"{\"type\":\"eof\",\"payload\":{\"kind\":\"eof\"}}\n"
);
let mut response = Response::builder()
.status(StatusCode::OK)
.body(Body::from(frames))
.expect("response should build");
response.headers_mut().insert(
http::header::CONTENT_TYPE,
HeaderValue::from_static("application/x-ndjson"),
);
response
}),
);
let (upstream_url, upstream_handle) = start_server(upstream).await;
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let gateway_state = build_state_with_execution_runtime_override(execution_runtime_url)
.with_usage_data_repository_for_tests(usage_repository.clone())
.with_usage_runtime_for_tests(UsageRuntimeConfig {
enabled: true,
..UsageRuntimeConfig::default()
});
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/chat/completions"))
.header(http::header::CONTENT_TYPE, "application/json")
.body("{\"model\":\"gpt-5\",\"messages\":[],\"stream\":true}")
.send()
.await
.expect("request should succeed");
assert_eq!(response.status(), StatusCode::OK);
let _ = response.text().await.expect("stream body should read");
let mut stored = None;
for _ in 0..50 {
stored = usage_repository
.find_by_request_id("req-usage-stream-123")
.await
.expect("usage lookup should succeed");
if stored.is_some() {
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let stored = stored.expect("usage should be recorded");
assert_eq!(stored.status, "completed");
assert_eq!(stored.billing_status, "pending");
assert_eq!(stored.total_tokens, 6);
assert!(stored.first_byte_time_ms.is_some());
assert!(stored.response_time_ms >= stored.first_byte_time_ms);
assert_eq!(stored.is_stream, true);
gateway_handle.abort();
execution_runtime_handle.abort();
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_records_pending_usage_before_execution_runtime_stream_headers_arrive() {
let usage_repository = Arc::new(InMemoryUsageReadRepository::default());
let request_candidate_repository = Arc::new(InMemoryRequestCandidateRepository::default());
let execution_request_started = Arc::new(tokio::sync::Notify::new());
let allow_execution_response = Arc::new(tokio::sync::Notify::new());
let upstream = Router::new().route(
"/api/internal/gateway/report-stream",
any(|_request: Request| async move { Json(json!({"ok": true})) }),
);
let execution_runtime = Router::new().route(
"/v1/execute/stream",
any({
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
move |_request: Request| {
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
async move {
execution_request_started.notify_one();
allow_execution_response.notified().await;
let frames = concat!(
"{\"type\":\"headers\",\"payload\":{\"kind\":\"headers\",\"status_code\":200,\"headers\":{\"content-type\":\"text/event-stream\"}}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"data: {\\\"id\\\":\\\"chatcmpl-usage-stream-pending-123\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"content\\\":\\\"hello\\\"}}],\\\"usage\\\":{\\\"input_tokens\\\":2,\\\"output_tokens\\\":4,\\\"total_tokens\\\":6}}\\n\\n\"}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"data: [DONE]\\n\\n\"}}\n",
"{\"type\":\"telemetry\",\"payload\":{\"kind\":\"telemetry\",\"telemetry\":{\"elapsed_ms\":51,\"ttfb_ms\":19}}}\n",
"{\"type\":\"eof\",\"payload\":{\"kind\":\"eof\"}}\n"
);
let mut response = Response::builder()
.status(StatusCode::OK)
.body(Body::from(frames))
.expect("response should build");
response.headers_mut().insert(
http::header::CONTENT_TYPE,
HeaderValue::from_static("application/x-ndjson"),
);
response
}
}
}),
);
let (upstream_url, upstream_handle) = start_server(upstream).await;
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(hash_api_key("sk-client-openai-stream-pending")),
sample_local_openai_auth_snapshot(
"api-key-usage-stream-pending-123",
"user-usage-stream-pending-123",
),
)]));
let candidate_selection_repository =
Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
sample_local_openai_candidate_row(),
]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![sample_local_openai_provider()],
vec![sample_local_openai_endpoint()],
vec![sample_local_openai_key()],
));
let gateway_state = build_state_with_execution_runtime_override(execution_runtime_url)
.with_data_state_for_tests(
GatewayDataState::with_auth_candidate_selection_provider_catalog_request_candidates_and_usage_for_tests(
auth_repository,
candidate_selection_repository,
provider_catalog_repository,
Arc::clone(&request_candidate_repository),
usage_repository.clone(),
DEVELOPMENT_ENCRYPTION_KEY,
),
)
.with_usage_runtime_for_tests(UsageRuntimeConfig {
enabled: true,
..UsageRuntimeConfig::default()
});
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let request_task = tokio::spawn({
let gateway_url = gateway_url.clone();
async move {
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/chat/completions"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(
http::header::AUTHORIZATION,
"Bearer sk-client-openai-stream-pending",
)
.header(TRACE_ID_HEADER, "req-usage-stream-pending-123")
.body("{\"model\":\"gpt-5\",\"messages\":[],\"stream\":true}")
.send()
.await
.expect("request should succeed");
let status = response.status();
let body = response.text().await.expect("stream body should read");
(status, body)
}
});
execution_request_started.notified().await;
let mut pending = None;
for _ in 0..50 {
pending = usage_repository
.find_by_request_id("req-usage-stream-pending-123")
.await
.expect("usage lookup should succeed");
if pending
.as_ref()
.is_some_and(|stored| stored.status == "pending")
{
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let pending = pending.expect("pending usage should be recorded before stream headers arrive");
assert_eq!(pending.status, "pending");
assert_eq!(pending.billing_status, "pending");
assert_eq!(pending.first_byte_time_ms, None);
assert_eq!(pending.response_time_ms, None);
allow_execution_response.notify_one();
let (status, _body) = request_task.await.expect("request task should join");
assert_eq!(status, StatusCode::OK);
let mut stored = None;
for _ in 0..50 {
stored = usage_repository
.find_by_request_id("req-usage-stream-pending-123")
.await
.expect("usage lookup should succeed");
if stored.as_ref().is_some_and(|row| row.status == "completed") {
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let stored = stored.expect("usage should be finalized");
assert_eq!(stored.status, "completed");
assert!(stored.first_byte_time_ms.is_some());
assert!(stored.response_time_ms >= stored.first_byte_time_ms);
gateway_handle.abort();
execution_runtime_handle.abort();
upstream_handle.abort();
}
#[tokio::test]
async fn gateway_keeps_pending_stream_usage_lightweight_for_large_request_body() {
let usage_repository = Arc::new(InMemoryUsageReadRepository::default());
let request_candidate_repository = Arc::new(InMemoryRequestCandidateRepository::default());
let execution_request_started = Arc::new(tokio::sync::Notify::new());
let allow_execution_response = Arc::new(tokio::sync::Notify::new());
let upstream = Router::new().route(
"/api/internal/gateway/report-stream",
any(|_request: Request| async move { Json(json!({"ok": true})) }),
);
let execution_runtime = Router::new().route(
"/v1/execute/stream",
any({
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
move |_request: Request| {
let execution_request_started = Arc::clone(&execution_request_started);
let allow_execution_response = Arc::clone(&allow_execution_response);
async move {
execution_request_started.notify_one();
allow_execution_response.notified().await;
let frames = concat!(
"{\"type\":\"headers\",\"payload\":{\"kind\":\"headers\",\"status_code\":200,\"headers\":{\"content-type\":\"text/event-stream\"}}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"data: {\\\"id\\\":\\\"chatcmpl-usage-stream-large-pending-123\\\",\\\"usage\\\":{\\\"input_tokens\\\":2,\\\"output_tokens\\\":4,\\\"total_tokens\\\":6}}\\n\\n\"}}\n",
"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"data: [DONE]\\n\\n\"}}\n",
"{\"type\":\"telemetry\",\"payload\":{\"kind\":\"telemetry\",\"telemetry\":{\"elapsed_ms\":51,\"ttfb_ms\":19}}}\n",
"{\"type\":\"eof\",\"payload\":{\"kind\":\"eof\"}}\n"
);
let mut response = Response::builder()
.status(StatusCode::OK)
.body(Body::from(frames))
.expect("response should build");
response.headers_mut().insert(
http::header::CONTENT_TYPE,
HeaderValue::from_static("application/x-ndjson"),
);
response
}
}
}),
);
let auth_repository = Arc::new(InMemoryAuthApiKeySnapshotRepository::seed(vec![(
Some(hash_api_key("sk-client-openai-stream-large-pending")),
sample_local_openai_auth_snapshot(
"api-key-usage-stream-large-pending-123",
"user-usage-stream-large-pending-123",
),
)]));
let candidate_selection_repository =
Arc::new(InMemoryMinimalCandidateSelectionReadRepository::seed(vec![
sample_local_openai_candidate_row(),
]));
let provider_catalog_repository = Arc::new(InMemoryProviderCatalogReadRepository::seed(
vec![sample_local_openai_provider()],
vec![sample_local_openai_endpoint()],
vec![sample_local_openai_key()],
));
let (_upstream_url, upstream_handle) = start_server(upstream).await;
let (execution_runtime_url, execution_runtime_handle) = start_server(execution_runtime).await;
let gateway_state = build_state_with_execution_runtime_override(execution_runtime_url)
.with_data_state_for_tests(
GatewayDataState::with_auth_candidate_selection_provider_catalog_request_candidates_and_usage_for_tests(
auth_repository,
candidate_selection_repository,
provider_catalog_repository,
Arc::clone(&request_candidate_repository),
usage_repository.clone(),
DEVELOPMENT_ENCRYPTION_KEY,
),
)
.with_usage_runtime_for_tests(UsageRuntimeConfig {
enabled: true,
..UsageRuntimeConfig::default()
});
let gateway = build_router_with_state(gateway_state);
let (gateway_url, gateway_handle) = start_server(gateway).await;
let request_task = tokio::spawn({
let gateway_url = gateway_url.clone();
async move {
let response = reqwest::Client::new()
.post(format!("{gateway_url}/v1/chat/completions"))
.header(http::header::CONTENT_TYPE, "application/json")
.header(
http::header::AUTHORIZATION,
"Bearer sk-client-openai-stream-large-pending",
)
.header(TRACE_ID_HEADER, "req-usage-stream-large-pending-123")
.body(large_request_body(true))
.send()
.await
.expect("request should succeed");
let status = response.status();
let body = response.text().await.expect("stream body should read");
(status, body)
}
});
execution_request_started.notified().await;
let mut pending = None;
for _ in 0..50 {
pending = usage_repository
.find_by_request_id("req-usage-stream-large-pending-123")
.await
.expect("usage lookup should succeed");
if pending
.as_ref()
.is_some_and(|stored| stored.status == "pending")
{
break;
}
tokio::time::sleep(std::time::Duration::from_millis(10)).await;
}
let pending = pending.expect("pending usage should be recorded before stream headers arrive");
assert_eq!(pending.status, "pending");
assert!(pending.request_headers.is_none());
assert!(pending.request_body.is_none());
assert!(pending.provider_request_headers.is_none());
assert!(pending.provider_request_body.is_none());
assert!(pending.response_headers.is_none());
assert!(pending.client_response_headers.is_none());
allow_execution_response.notify_one();
let (status, _body) = request_task.await.expect("request task should join");
assert_eq!(status, StatusCode::OK);
gateway_handle.abort();
execution_runtime_handle.abort();
upstream_handle.abort();
}