Files
codex/codex-rs/app-server/src/models_refresh_worker_tests.rs
T
jif 5935a90619 app-server: keep the model cache warm (#28699)
## Why

The app server is long-lived, but its shared model cache otherwise
refreshes only when a caller needs it. Once the five-minute cache
expires, starting a thread or calling `model/list` can wait for
`/models` on the request path.

Refresh the cache in the background before it expires so foreground
callers normally use fresh local state.

## What changed

- Start an app-server worker that refreshes models immediately and then
every three minutes using the existing models-manager API.
- Hold only a weak reference to the models manager between refreshes, so
the worker does not extend its lifetime.
- Stop scheduling refreshes when the app-server lifecycle handle is shut
down or dropped. A refresh already in progress is allowed to finish.
- Adjust affected app-server test fixtures to distinguish the background
`/models` probe from the connection they are testing.

The existing models-manager cache, refresh strategies, auth handling,
ETag behavior, and concurrency semantics are unchanged.

## Testing

-
`models_refresh_worker::tests::refreshes_immediately_periodically_and_stops_when_dropped`
-
`suite::v2::remote_control::listen_off_honors_persisted_remote_control_enable`
-
`suite::v2::attestation::attestation_generate_round_trip_adds_header_to_responses_websocket_handshake`
2026-06-17 16:18:39 +02:00

91 lines
2.7 KiB
Rust

use std::sync::Arc;
use std::sync::atomic::AtomicUsize;
use std::sync::atomic::Ordering;
use std::time::Duration;
use codex_models_manager::manager::ModelsEndpointClient;
use codex_models_manager::manager::ModelsEndpointFuture;
use codex_models_manager::manager::OpenAiModelsManager;
use codex_models_manager::manager::SharedModelsManager;
use codex_protocol::error::CodexErr;
use codex_protocol::error::Result as CoreResult;
use codex_protocol::openai_models::ModelInfo;
use pretty_assertions::assert_eq;
use tempfile::tempdir;
use tokio::sync::Notify;
use super::*;
#[derive(Debug)]
struct TestModelsEndpoint {
fetch_count: AtomicUsize,
fetched: Notify,
release_second_fetch: Notify,
}
impl TestModelsEndpoint {
fn new() -> Arc<Self> {
Arc::new(Self {
fetch_count: AtomicUsize::new(0),
fetched: Notify::new(),
release_second_fetch: Notify::new(),
})
}
async fn wait_for_fetch_count(&self, expected: usize) {
tokio::time::timeout(Duration::from_secs(1), async {
while self.fetch_count.load(Ordering::SeqCst) < expected {
self.fetched.notified().await;
}
})
.await
.unwrap_or_else(|_| panic!("expected {expected} model fetches"));
}
}
impl ModelsEndpointClient for TestModelsEndpoint {
fn has_command_auth(&self) -> bool {
true
}
fn uses_codex_backend(&self) -> ModelsEndpointFuture<'_, bool> {
Box::pin(async { false })
}
fn list_models<'a>(
&'a self,
_client_version: &'a str,
) -> ModelsEndpointFuture<'a, CoreResult<(Vec<ModelInfo>, Option<String>)>> {
Box::pin(async move {
let fetch_index = self.fetch_count.fetch_add(1, Ordering::SeqCst);
self.fetched.notify_one();
if fetch_index == 0 {
return Err(CodexErr::Io(std::io::Error::other("test failure")));
}
if fetch_index == 1 {
self.release_second_fetch.notified().await;
}
Ok((Vec::new(), None))
})
}
}
#[tokio::test]
async fn refreshes_immediately_periodically_and_stops_when_dropped() {
let codex_home = tempdir().expect("temp dir");
let endpoint = TestModelsEndpoint::new();
let models_manager: SharedModelsManager = Arc::new(OpenAiModelsManager::new(
codex_home.path().to_path_buf(),
endpoint.clone(),
/*auth_manager*/ None,
));
let worker = spawn_with_interval(&models_manager, Duration::from_millis(10));
endpoint.wait_for_fetch_count(/*expected*/ 2).await;
drop(worker);
endpoint.release_second_fetch.notify_one();
tokio::time::sleep(Duration::from_millis(30)).await;
assert_eq!(endpoint.fetch_count.load(Ordering::SeqCst), 2);
}