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项目文件夹

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3.5 KiB
Python

"""Integration test: the EPD encoder server exports sglang:encoder_* metrics."""
import unittest
import uuid
from typing import Dict, List
from urllib.parse import urlparse
import requests
import zmq
from prometheus_client.parser import text_string_to_metric_families
from prometheus_client.samples import Sample
from sglang.srt.disaggregation.encode_server import MINIMUM_PNG_PICTURE_BASE64
from sglang.srt.utils import kill_process_tree
from sglang.srt.utils.network import get_zmq_socket_on_host
from sglang.test.ci.ci_register import register_cuda_ci
from sglang.test.test_utils import (
DEFAULT_SMALL_VLM_MODEL_NAME_FOR_TEST,
DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
DEFAULT_URL_FOR_TEST,
CustomTestCase,
popen_launch_server,
)
register_cuda_ci(est_time=180, stage="base-b", runner_config="1-gpu-small")
_MODEL_NAME = DEFAULT_SMALL_VLM_MODEL_NAME_FOR_TEST
def _parse_prometheus_metrics(metrics_text: str) -> Dict[str, List[Sample]]:
result: Dict[str, List[Sample]] = {}
for family in text_string_to_metric_families(metrics_text):
for sample in family.samples:
result.setdefault(sample.name, []).append(sample)
return result
class TestEncoderServerMetrics(CustomTestCase):
def test_encoder_metrics_exported(self):
process = popen_launch_server(
_MODEL_NAME,
DEFAULT_URL_FOR_TEST,
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
other_args=[
"--encoder-only",
"--trust-remote-code",
"--enable-metrics",
"--tp",
"1",
],
)
self.addCleanup(kill_process_tree, process.pid)
base_host = urlparse(DEFAULT_URL_FOR_TEST).hostname
context = zmq.Context()
recv_port, recv_socket = get_zmq_socket_on_host(
context, zmq.PULL, host=base_host
)
try:
health = requests.get(f"{DEFAULT_URL_FOR_TEST}/health_generate")
self.assertEqual(health.status_code, 200)
req_id = f"metrics-probe-{uuid.uuid4().hex}"
requests.post(
f"{DEFAULT_URL_FOR_TEST}/scheduler_receive_url",
json={
"req_id": req_id,
"receive_url": f"{base_host}:{recv_port}",
"receive_count": 1,
},
)
response = requests.post(
f"{DEFAULT_URL_FOR_TEST}/encode",
json={
"req_id": req_id,
"modality": "IMAGE",
"mm_items": [f"data:image/png;base64,{MINIMUM_PNG_PICTURE_BASE64}"],
"num_parts": 1,
"part_idx": 0,
"embedding_port": None,
},
timeout=DEFAULT_TIMEOUT_FOR_SERVER_LAUNCH,
)
self.assertEqual(response.status_code, 200)
metrics_response = requests.get(f"{DEFAULT_URL_FOR_TEST}/metrics")
self.assertEqual(metrics_response.status_code, 200)
metrics_text = metrics_response.text
self.assertIn("sglang:encoder_requests_received_total", metrics_text)
self.assertIn(f'model_name="{_MODEL_NAME}"', metrics_text)
metrics = _parse_prometheus_metrics(metrics_text)
received = metrics.get("sglang:encoder_requests_received_total", [])
self.assertGreater(sum(s.value for s in received), 0)
finally:
recv_socket.close()
context.term()
if __name__ == "__main__":
unittest.main()