mirror of
https://github.com/fawney19/Aether.git
synced 2026-10-06 17:37:47 +08:00
fix(usage): track OpenAI image SSE completion and usage estimates
This commit is contained in:
@@ -991,6 +991,12 @@ fn build_sse_body_stream(
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}
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}
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fn stream_chunk_contains_sse_done(chunk: &[u8]) -> bool {
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std::str::from_utf8(chunk)
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.ok()
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.is_some_and(|text| text.lines().any(|line| line.trim() == "data: [DONE]"))
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}
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async fn next_stream_frame<R>(
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buffered_frames: &mut VecDeque<StreamFrame>,
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lines: &mut FramedRead<R, LinesCodec>,
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@@ -2026,6 +2032,8 @@ async fn execute_stream_from_frame_stream(
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max_stream_body_buffer_bytes,
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&mut client_body_truncated,
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);
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let mut client_visible_stream_completed =
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stream_chunk_contains_sse_done(&prefetched_body_for_report);
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let mut usage_stream_telemetry: Option<ExecutionTelemetry> = initial_telemetry.clone();
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let mut telemetry: Option<ExecutionTelemetry> = initial_telemetry;
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let reached_eof = initial_reached_eof;
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@@ -2452,6 +2460,8 @@ async fn execute_stream_from_frame_stream(
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);
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let rewritten_chunk_len =
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u64::try_from(rewritten_chunk.len()).unwrap_or(u64::MAX);
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let chunk_completed_stream =
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stream_chunk_contains_sse_done(&rewritten_chunk);
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if tx.send(Ok(Bytes::from(rewritten_chunk))).await.is_err() {
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warn!(
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event_name = "stream_execution_downstream_disconnected",
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@@ -2464,6 +2474,7 @@ async fn execute_stream_from_frame_stream(
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downstream_dropped = true;
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break;
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} else {
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client_visible_stream_completed |= chunk_completed_stream;
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client_stream_bytes.fetch_add(rewritten_chunk_len, Ordering::Relaxed);
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last_client_chunk_elapsed_ms.store(
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stream_started_at_for_report
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@@ -2578,6 +2589,8 @@ async fn execute_stream_from_frame_stream(
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);
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let rewritten_chunk_len =
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u64::try_from(rewritten_chunk.len()).unwrap_or(u64::MAX);
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let chunk_completed_stream =
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stream_chunk_contains_sse_done(&rewritten_chunk);
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if tx.send(Ok(Bytes::from(rewritten_chunk))).await.is_err() {
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warn!(
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event_name = "stream_execution_downstream_flush_disconnected",
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@@ -2589,6 +2602,7 @@ async fn execute_stream_from_frame_stream(
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);
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downstream_dropped = true;
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} else {
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client_visible_stream_completed |= chunk_completed_stream;
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client_stream_bytes
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.fetch_add(rewritten_chunk_len, Ordering::Relaxed);
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last_client_chunk_elapsed_ms.store(
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@@ -2635,6 +2649,8 @@ async fn execute_stream_from_frame_stream(
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);
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let flushed_chunk_len =
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u64::try_from(flushed_chunk.len()).unwrap_or(u64::MAX);
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let chunk_completed_stream =
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stream_chunk_contains_sse_done(&flushed_chunk);
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if tx.send(Ok(Bytes::from(flushed_chunk))).await.is_err() {
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warn!(
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event_name = "stream_execution_downstream_rewrite_flush_disconnected",
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@@ -2646,6 +2662,7 @@ async fn execute_stream_from_frame_stream(
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);
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downstream_dropped = true;
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} else {
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client_visible_stream_completed |= chunk_completed_stream;
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client_stream_bytes.fetch_add(flushed_chunk_len, Ordering::Relaxed);
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last_client_chunk_elapsed_ms.store(
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stream_started_at_for_report
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@@ -2755,6 +2772,18 @@ async fn execute_stream_from_frame_stream(
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),
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);
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if downstream_dropped && client_visible_stream_completed && terminal_failure.is_none() {
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debug!(
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event_name = "execution_runtime_stream_downstream_closed_after_done",
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log_type = "debug",
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trace_id = %trace_id_owned,
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request_id = %request_id_for_report_log,
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candidate_id = ?candidate_id_for_report.as_deref(),
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"gateway treats downstream close after client-visible SSE DONE as completed"
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);
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downstream_dropped = false;
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}
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if downstream_dropped {
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debug!(
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event_name = "execution_runtime_stream_report_skipped",
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@@ -3417,6 +3446,142 @@ mod tests {
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);
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}
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#[tokio::test]
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async fn image_stream_downstream_close_after_done_is_recorded_success() {
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let usage_repository = Arc::new(InMemoryUsageReadRepository::default());
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let request_candidate_repository = Arc::new(InMemoryRequestCandidateRepository::default());
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let state = AppState::new()
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.expect("app state should build")
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.with_data_state_for_tests(
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crate::data::GatewayDataState::with_request_candidate_and_usage_repository_for_tests(
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Arc::clone(&request_candidate_repository),
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Arc::clone(&usage_repository),
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),
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)
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.with_usage_runtime_for_tests(UsageRuntimeConfig {
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enabled: true,
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..UsageRuntimeConfig::default()
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});
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let plan = ExecutionPlan {
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request_id: "req-image-done-close-success".into(),
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candidate_id: Some("cand-image-done-close-success".into()),
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provider_name: Some("openai".into()),
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provider_id: "prov-1".into(),
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endpoint_id: "ep-1".into(),
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key_id: "key-1".into(),
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method: "POST".into(),
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url: "https://example.com/v1/images/generations".into(),
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headers: BTreeMap::from([("accept".into(), "text/event-stream".into())]),
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content_type: Some("application/json".into()),
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content_encoding: None,
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body: RequestBody::from_json(json!({
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"model": "gpt-image-2",
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"prompt": "draw a small image",
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"stream": true
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})),
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stream: true,
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client_api_format: "openai:chat".into(),
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provider_api_format: "openai:image".into(),
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model_name: Some("gpt-image-2".into()),
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proxy: None,
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transport_profile: None,
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timeouts: None,
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};
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let frame_stream = stream! {
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yield Ok::<Bytes, std::io::Error>(Bytes::from_static(
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b"{\"type\":\"headers\",\"payload\":{\"kind\":\"headers\",\"status_code\":200,\"headers\":{\"content-type\":\"text/event-stream\"}}}\n",
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));
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yield Ok::<Bytes, std::io::Error>(Bytes::from_static(
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b"{\"type\":\"data\",\"payload\":{\"kind\":\"data\",\"text\":\"event: response.output_item.done\\ndata: {\\\"type\\\":\\\"response.output_item.done\\\",\\\"output_index\\\":0,\\\"item\\\":{\\\"id\\\":\\\"ig_1\\\",\\\"type\\\":\\\"image_generation_call\\\",\\\"result\\\":\\\"aGVsbG8=\\\"}}\\n\\nevent: response.completed\\ndata: {\\\"type\\\":\\\"response.completed\\\",\\\"response\\\":{\\\"id\\\":\\\"resp_1\\\",\\\"model\\\":\\\"gpt-image-2\\\",\\\"status\\\":\\\"completed\\\",\\\"usage\\\":null}}\\n\\n\"}}\n",
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));
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std::future::pending::<()>().await;
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}
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.boxed();
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let response = execute_stream_from_frame_stream(
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&state,
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plan,
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"trace-image-done-close-success",
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&test_decision(),
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"openai_chat_stream",
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Some("openai_chat_stream_success".to_string()),
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Some(json!({
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"request_id": "req-image-done-close-success",
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"candidate_id": "cand-image-done-close-success",
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"candidate_index": 0,
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"retry_index": 0,
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"provider_api_format": "openai:image",
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"client_api_format": "openai:chat",
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"image_request": {
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"size": "1024x1024",
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"quality": "medium"
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}
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})),
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crate::clock::current_unix_ms(),
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Instant::now(),
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frame_stream,
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None,
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)
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.await
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.expect("execution should succeed")
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.expect("execution should return a client response");
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let mut body_stream = response.into_body().into_data_stream();
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let mut body = Vec::new();
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tokio::time::timeout(Duration::from_secs(1), async {
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while !String::from_utf8_lossy(&body).contains("data: [DONE]") {
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let chunk = body_stream
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.next()
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.await
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.expect("body should yield until done")
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.expect("chunk should be ok");
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body.extend_from_slice(&chunk);
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}
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})
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.await
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.expect("final DONE should arrive");
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drop(body_stream);
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let candidates = tokio::time::timeout(Duration::from_secs(1), async {
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loop {
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let candidates = request_candidate_repository
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.list_by_request_id("req-image-done-close-success")
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.await
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.expect("request candidates should read");
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if candidates
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.first()
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.is_some_and(|candidate| candidate.status == RequestCandidateStatus::Success)
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{
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break candidates;
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}
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tokio::time::sleep(Duration::from_millis(10)).await;
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}
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})
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.await
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.expect("candidate should be marked success");
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assert_eq!(candidates[0].status_code, Some(200));
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let stored_usage = tokio::time::timeout(Duration::from_secs(1), async {
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loop {
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let usage = usage_repository
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.find_by_request_id("req-image-done-close-success")
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.await
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.expect("usage should read");
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if usage
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.as_ref()
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.is_some_and(|usage| usage.status == "completed")
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{
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break usage.expect("completed usage should exist");
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}
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tokio::time::sleep(Duration::from_millis(10)).await;
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}
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})
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.await
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.expect("usage should be marked completed");
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assert_eq!(stored_usage.status_code, Some(200));
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assert!(stored_usage.total_tokens > 0);
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}
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#[tokio::test]
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async fn execute_execution_runtime_stream_records_first_data_as_streaming_before_terminal_telemetry(
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) {
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