fix: 优化跳一跳运行态与地块资源

This commit is contained in:
2026-06-09 01:28:30 +08:00
parent c9c66f046b
commit a0473771f1
30 changed files with 3180 additions and 1010 deletions

View File

@@ -1,8 +1,8 @@
use platform_image::vector_engine::{
GPT_IMAGE_2_MODEL, ReferenceImage, VECTOR_ENGINE_PROVIDER, VectorEngineImageSettings,
build_vector_engine_image_http_client, build_vector_engine_image_request_body,
create_vector_engine_image_edit, vector_engine_images_edit_url,
vector_engine_images_generation_url,
create_vector_engine_image_edit, create_vector_engine_image_generation,
vector_engine_images_edit_url, vector_engine_images_generation_url,
};
use std::{
sync::{
@@ -109,3 +109,72 @@ async fn vector_engine_image_edit_retries_send_timeout_once_and_succeeds() {
assert_eq!(request_count.load(Ordering::SeqCst), 2);
server.abort();
}
#[tokio::test]
async fn vector_engine_image_generation_retries_upstream_502_once_and_succeeds() {
let listener = TcpListener::bind("127.0.0.1:0")
.await
.expect("mock server should bind");
let server_addr = listener
.local_addr()
.expect("mock server address should be readable");
let request_count = Arc::new(AtomicUsize::new(0));
let request_count_for_server = Arc::clone(&request_count);
let server = tokio::spawn(async move {
loop {
let Ok((mut stream, _)) = listener.accept().await else {
break;
};
let request_index = request_count_for_server.fetch_add(1, Ordering::SeqCst);
tokio::spawn(async move {
let mut buffer = [0_u8; 4096];
let _ = stream.read(&mut buffer).await;
if request_index == 0 {
let body = "<html><head><title>502 Bad Gateway</title></head><body><center><h1>502 Bad Gateway</h1></center><hr><center>nginx</center></body></html>";
let response = format!(
"HTTP/1.1 502 Bad Gateway\r\nContent-Type: text/html\r\nContent-Length: {}\r\n\r\n{}",
body.len(),
body
);
let _ = stream.write_all(response.as_bytes()).await;
return;
}
let body = r#"{"data":[{"b64_json":"iVBORw0KGgpyZXN0"}]}"#;
let response = format!(
"HTTP/1.1 200 OK\r\nContent-Type: application/json\r\nContent-Length: {}\r\n\r\n{}",
body.len(),
body
);
let _ = stream.write_all(response.as_bytes()).await;
});
}
});
let settings = VectorEngineImageSettings {
base_url: format!("http://{server_addr}/v1"),
api_key: "test-key".to_string(),
request_timeout_ms: 1_000,
};
let http_client =
build_vector_engine_image_http_client(&settings).expect("client should build");
let generated = create_vector_engine_image_generation(
&http_client,
&settings,
"测试提示词",
None,
"1024x1024",
1,
&[],
"测试 VectorEngine 图片生成失败",
)
.await
.expect("second attempt should return generated image");
assert_eq!(generated.images.len(), 1);
assert_eq!(generated.images[0].mime_type, "image/png");
assert_eq!(request_count.load(Ordering::SeqCst), 2);
server.abort();
}