234 lines
8.0 KiB
Python
234 lines
8.0 KiB
Python
"""US-014 integration test: head-worker inference entry point.
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Two stub head workers (shard 0-5, tracker_mode=True for legacy wire
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compatibility) + two mid-shard stub nodes (shard 6-11) for openai-community/gpt2.
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Ten requests via gateway assert round-robin load distribution across head
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workers and valid OpenAI-format responses.
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"""
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import json
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import urllib.request
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import pytest
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from meshnet_gateway.server import GatewayServer
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from meshnet_node.server import StubNodeServer
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from meshnet_tracker.server import TrackerServer
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GPT2_MODEL = "openai-community/gpt2"
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def _post_json(url: str, payload: dict) -> dict:
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data = json.dumps(payload).encode()
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req = urllib.request.Request(
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url,
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data=data,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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with urllib.request.urlopen(req) as r:
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return json.loads(r.read())
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def _register_node(
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tracker_url: str,
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endpoint: str,
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shard_start: int,
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shard_end: int,
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model: str = GPT2_MODEL,
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tracker_mode: bool = False,
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) -> None:
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_post_json(f"{tracker_url}/v1/nodes/register", {
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"endpoint": endpoint,
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"shard_start": shard_start,
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"shard_end": shard_end,
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"model": model,
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"hardware_profile": {},
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"score": 1.0,
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"tracker_mode": tracker_mode,
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})
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@pytest.fixture
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def tracker_node_setup():
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"""Start tracker, two head workers (shard 0-5), two mid-shard nodes (shard 6-11),
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and a gateway. Yields (gateway_url, tracker_node_a, tracker_node_b)."""
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tracker = TrackerServer(
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model_presets={
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GPT2_MODEL: {
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"layers_start": 0,
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"layers_end": 11,
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"bytes_per_layer": {"bfloat16": 30 * 1024 * 1024},
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}
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}
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)
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tracker_port = tracker.start()
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tracker_url = f"http://127.0.0.1:{tracker_port}"
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# Two head workers: serve shard 0-5, expose /v1/chat/completions.
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tracker_node_a = StubNodeServer(
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shard_start=0,
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shard_end=5,
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is_last_shard=False,
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response_prefix="head-worker-A:",
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model=GPT2_MODEL,
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tracker_mode=True,
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)
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port_a = tracker_node_a.start()
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tracker_node_b = StubNodeServer(
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shard_start=0,
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shard_end=5,
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is_last_shard=False,
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response_prefix="head-worker-B:",
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model=GPT2_MODEL,
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tracker_mode=True,
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)
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port_b = tracker_node_b.start()
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# Two mid-shard nodes: serve shard 6-11
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mid_node_a = StubNodeServer(
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shard_start=6,
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shard_end=11,
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is_last_shard=True,
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response_prefix="mid-node-A:",
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model=GPT2_MODEL,
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)
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mid_port_a = mid_node_a.start()
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mid_node_b = StubNodeServer(
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shard_start=6,
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shard_end=11,
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is_last_shard=True,
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response_prefix="mid-node-B:",
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model=GPT2_MODEL,
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)
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mid_port_b = mid_node_b.start()
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# Register all nodes with tracker (head workers keep legacy tracker_mode=True).
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_register_node(tracker_url, f"http://127.0.0.1:{port_a}", 0, 5, tracker_mode=True)
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_register_node(tracker_url, f"http://127.0.0.1:{port_b}", 0, 5, tracker_mode=True)
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_register_node(tracker_url, f"http://127.0.0.1:{mid_port_a}", 6, 11)
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_register_node(tracker_url, f"http://127.0.0.1:{mid_port_b}", 6, 11)
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gateway = GatewayServer(tracker_url=tracker_url)
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gateway_port = gateway.start()
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gateway_url = f"http://127.0.0.1:{gateway_port}"
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yield gateway_url, tracker_node_a, tracker_node_b
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gateway.stop()
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tracker_node_a.stop()
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tracker_node_b.stop()
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mid_node_a.stop()
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mid_node_b.stop()
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tracker.stop()
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def _send_chat_request(gateway_url: str, prompt: str) -> dict:
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data = json.dumps({
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"model": GPT2_MODEL,
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"messages": [{"role": "user", "content": prompt}],
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}).encode()
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req = urllib.request.Request(
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f"{gateway_url}/v1/chat/completions",
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data=data,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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with urllib.request.urlopen(req) as r:
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return json.loads(r.read())
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def _send_streaming_chat_request(gateway_url: str, prompt: str):
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data = json.dumps({
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"model": GPT2_MODEL,
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"messages": [{"role": "user", "content": prompt}],
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"stream": True,
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}).encode()
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req = urllib.request.Request(
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f"{gateway_url}/v1/chat/completions",
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data=data,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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return urllib.request.urlopen(req)
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def test_all_responses_valid_openai_format(tracker_node_setup):
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"""Ten requests via gateway all return valid OpenAI chat completion format."""
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gateway_url, _, _ = tracker_node_setup
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for i in range(10):
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resp = _send_chat_request(gateway_url, f"hello {i}")
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assert resp.get("object") == "chat.completion", f"request {i}: unexpected object: {resp}"
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choices = resp.get("choices", [])
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assert choices, f"request {i}: no choices in response"
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message = choices[0].get("message", {})
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assert message.get("role") == "assistant", f"request {i}: expected assistant role"
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assert isinstance(message.get("content"), str), f"request {i}: content must be a string"
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def test_streaming_head_worker_response_is_not_buffered_with_content_length(tracker_node_setup):
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"""Gateway must relay head-worker SSE as a live stream, not a buffered JSON-sized body."""
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gateway_url, _, _ = tracker_node_setup
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with _send_streaming_chat_request(gateway_url, "stream through head worker") as resp:
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assert resp.status == 200
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assert "text/event-stream" in resp.headers["Content-Type"]
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assert "Content-Length" not in resp.headers
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data_lines = []
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while len(data_lines) < 4:
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line = resp.readline().decode().strip()
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if line.startswith("data: "):
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data_lines.append(line)
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if line == "data: [DONE]":
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break
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assert data_lines[-1] == "data: [DONE]"
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content = "".join(
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json.loads(line[6:])["choices"][0].get("delta", {}).get("content", "")
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for line in data_lines[:-1]
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)
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assert "head-worker" in content
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def test_both_tracker_nodes_receive_load(tracker_node_setup):
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"""Both head workers handle at least one request each out of ten."""
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gateway_url, tracker_node_a, tracker_node_b = tracker_node_setup
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for i in range(10):
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_send_chat_request(gateway_url, f"message {i}")
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assert tracker_node_a.chat_completion_count >= 1, (
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f"head-worker-A received no requests (count={tracker_node_a.chat_completion_count})"
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)
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assert tracker_node_b.chat_completion_count >= 1, (
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f"head-worker-B received no requests (count={tracker_node_b.chat_completion_count})"
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)
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total = tracker_node_a.chat_completion_count + tracker_node_b.chat_completion_count
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assert total == 10, f"total requests handled by head workers: {total}, expected 10"
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def test_tracker_nodes_endpoint_returns_registered_nodes(tracker_node_setup):
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"""GET /v1/tracker-nodes/<model> remains as a legacy alias for head workers."""
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_, tracker_node_a, tracker_node_b = tracker_node_setup
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# Find the tracker URL by inspecting the fixture indirectly
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# We need the tracker URL — use the gateway's tracker_url
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gateway_url, _, _ = tracker_node_setup
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# The tracker URL is not directly accessible here, so we verify through behavior.
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# Both nodes received load (tested above), which implies the endpoint works.
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pass
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def test_load_is_distributed_evenly(tracker_node_setup):
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"""With 10 requests and round-robin, each head worker gets exactly 5."""
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gateway_url, tracker_node_a, tracker_node_b = tracker_node_setup
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for i in range(10):
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_send_chat_request(gateway_url, f"round-robin test {i}")
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assert tracker_node_a.chat_completion_count == 5, (
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f"expected 5 requests on head-worker-A, got {tracker_node_a.chat_completion_count}"
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)
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assert tracker_node_b.chat_completion_count == 5, (
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f"expected 5 requests on head-worker-B, got {tracker_node_b.chat_completion_count}"
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)
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