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test_common_engine.py
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3520 lines (2804 loc) · 135 KB
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"""
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
import asyncio
import os
import threading
import time
import types
import unittest
from unittest.mock import ANY, AsyncMock, MagicMock, Mock, patch
import numpy as np
import paddle
if not hasattr(paddle, "compat"):
class _PaddleCompat:
@staticmethod
def enable_torch_proxy(scope=None):
return None
paddle.compat = _PaddleCompat()
from fastdeploy.cache_manager.cache_data import CacheStatus
from fastdeploy.engine.args_utils import EngineArgs
from fastdeploy.engine.common_engine import EngineService
from fastdeploy.engine.request import (
ControlRequest,
ControlResponse,
Request,
RequestOutput,
RequestStatus,
RequestType,
)
from fastdeploy.utils import EngineError
MODEL_NAME = os.getenv("MODEL_PATH", "/workspace/wenlei/models") + "/ERNIE-4.5-0.3B-Paddle"
_STUB_PRETRAINED_CONFIG = {
"architectures": ["StubForCausalLM"],
"hidden_size": 64,
"num_attention_heads": 8,
"num_hidden_layers": 2,
"vocab_size": 1000,
}
def _fake_model_post_init(self):
self.is_unified_ckpt = False
self.runner_type = "generate"
self.convert_type = "auto"
self.supported_tasks = []
if not hasattr(self, "enable_mm"):
self.enable_mm = False
def _create_engine_config(args):
with patch(
"fastdeploy.config.PretrainedConfig.get_config_dict",
return_value=(_STUB_PRETRAINED_CONFIG, None),
):
with patch("fastdeploy.config.ModelConfig._post_init", _fake_model_post_init):
return args.create_engine_config()
class TestCommonEngine(unittest.TestCase):
"""Test case for EngineService functionality (lines 1215-1664)"""
@classmethod
def setUpClass(cls):
"""Set up EngineService for testing"""
try:
# Create engine args for testing
engine_args = EngineArgs(
model=MODEL_NAME,
max_model_len=8192,
tensor_parallel_size=1,
engine_worker_queue_port=int(os.getenv("FD_ENGINE_QUEUE_PORT", "6778")),
cache_queue_port=int(os.getenv("FD_CACHE_QUEUE_PORT", "6779")),
)
# Create and start the engine service
cls.cfg = _create_engine_config(engine_args)
with (
patch(
"fastdeploy.engine.common_engine.EngineWorkerQueue",
TestCommonEngineAdditionalCoverage._make_full_dummy_q_cls(),
),
patch("fastdeploy.engine.common_engine.EngineCacheQueue"),
):
cls.engine = EngineService(cls.cfg, start_queue=False, use_async_llm=True)
cls.engine.running = True
cls.engine.ipc_signal_suffix = cls.cfg.parallel_config.local_engine_worker_queue_port
cls.engine.worker_ready_signal = TestCommonEngineAdditionalCoverage._Sig(1)
cls.engine.loaded_model_signal = TestCommonEngineAdditionalCoverage._Sig(1)
cls.engine.worker_healthy_live_signal = TestCommonEngineAdditionalCoverage._Sig(int(time.time()))
cls.engine.worker_proc = Mock(pid=12345)
except Exception as e:
print(f"Setting up EngineService failed: {e}")
raise
@classmethod
def tearDownClass(cls):
"""Clean up after all tests"""
if hasattr(cls, "engine") and cls.engine is not None:
try:
if hasattr(cls.engine, "resource_manager") and hasattr(cls.engine.resource_manager, "cache_manager"):
cache_manager = cls.engine.resource_manager.cache_manager
if not hasattr(cache_manager, "shm_cache_task_flag_broadcast"):
cache_manager.shm_cache_task_flag_broadcast = Mock(clear=Mock())
if not hasattr(cache_manager, "cache_ready_signal"):
cache_manager.cache_ready_signal = Mock(clear=Mock())
if getattr(cls.engine, "cache_manager_processes", None) is None:
cls.engine.cache_manager_processes = []
if hasattr(cls.engine, "_finalizer"):
cls.engine._finalizer.detach()
cls.engine.worker_proc = None
cls.engine._exit_sub_services()
print("Engine cleanup completed")
except Exception as e:
print(f"Error during engine cleanup: {e}")
def setUp(self):
"""Set up before each test method"""
print(f"Starting test: {self._testMethodName}")
def tearDown(self):
"""Clean up after each test method"""
print(f"Completed test: {self._testMethodName}")
def test_engine_has_expected_attributes(self):
"""Consolidated lightweight attribute/callable checks."""
expected_methods = [
"_exit_sub_services",
"_start_worker_service",
"_stop_profile",
"launch_components",
"check_worker_initialize_status",
]
for name in expected_methods:
self.assertTrue(hasattr(self.engine, name))
self.assertTrue(callable(getattr(self.engine, name)))
if hasattr(self.engine, "worker_proc"):
self.assertIsNotNone(self.engine.worker_proc)
if hasattr(self.engine, "scheduler"):
self.assertIsNotNone(self.engine.scheduler)
if hasattr(self.engine, "worker_init_status"):
self.assertIsInstance(self.engine.worker_init_status, dict)
self.assertTrue(hasattr(self.engine, "do_profile"))
self.assertTrue(self.engine.running)
def test_worker_processes_ready(self):
"""Test _worker_processes_ready method (lines 1292-1299)"""
# Test with real engine that should have worker_ready_signal
if hasattr(self.engine, "worker_ready_signal"):
result = self.engine._worker_processes_ready()
# Result should be boolean
self.assertIsInstance(result, bool)
else:
self.skipTest("worker_ready_signal not available")
def test_init_worker_signals(self):
"""Test _init_worker_signals method (lines 1301-1361)"""
# Since engine is already started, signals should be initialized
self.assertTrue(hasattr(self.engine, "worker_ready_signal"))
self.assertTrue(hasattr(self.engine, "loaded_model_signal"))
# Test that signals have expected properties
if hasattr(self.engine, "worker_ready_signal"):
self.assertIsNotNone(self.engine.worker_ready_signal)
if hasattr(self.engine, "loaded_model_signal"):
self.assertIsNotNone(self.engine.loaded_model_signal)
def test_setting_environ_variables(self):
"""Test _setting_environ_variables method (lines 1362-1408)"""
result = self.engine._setting_environ_variables()
# Check that result is a string and contains expected variables
self.assertIsInstance(result, str)
self.assertIn("ENABLE_FASTDEPLOY_LOAD_MODEL_CONCURRENCY=0", result)
self.assertIn("PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python", result)
self.assertIn("FLAGS_use_append_attn=1", result)
self.assertIn("NCCL_ALGO=Ring", result)
def test_check_health(self):
"""Test check_health method (lines 1533-1544)"""
if hasattr(self.engine, "worker_healthy_live_signal"):
is_healthy, message = self.engine.check_health(time_interval_threashold=30)
# Should return tuple of (bool, str)
self.assertIsInstance(is_healthy, bool)
self.assertIsInstance(message, str)
else:
self.skipTest("worker_healthy_live_signal not available")
def test_engine_started_successfully(self):
"""Test that engine started successfully and has expected state"""
# Verify engine is running
self.assertTrue(self.engine.running)
# Verify data processor was created
if hasattr(self.engine, "data_processor"):
self.assertIsNotNone(self.engine.data_processor)
# Verify IPC signal suffix is set
if hasattr(self.engine, "ipc_signal_suffix"):
self.assertIsNotNone(self.engine.ipc_signal_suffix)
if __name__ == "__main__":
unittest.main()
class TestCommonEngineAdditionalCoverage(unittest.TestCase):
"""Additional unit tests focusing on branch coverage for common_engine.py
These tests heavily mock subprocess/threading/IPC to avoid starting real workers
and to drive specific code paths that were previously uncovered.
"""
def setUp(self):
cache_queue_patcher = patch("fastdeploy.engine.common_engine.EngineCacheQueue")
cache_queue_patcher.start()
self.addCleanup(cache_queue_patcher.stop)
class _Sig:
def __init__(self, v=0):
self.value = np.array([v], dtype=np.int32)
def clear(self):
pass
@staticmethod
@staticmethod
def _make_full_dummy_q_cls():
class DummyQ:
def __init__(self, *a, **k):
self.available_prefill_instances = type("X", (), {"put": lambda *_: None})()
def get_server_port(self):
return 0
def cleanup(self):
pass
def num_tasks(self):
return 0
def num_cache_infos(self):
return 0
def disaggregate_queue_empty(self):
return True
def get_disaggregated_tasks(self):
return []
return DummyQ
@staticmethod
def _make_dummy_executor(eng):
class DummyExecutor:
def __init__(self, max_workers=None):
pass
def submit(self, fn):
try:
fn()
finally:
eng.running = False
return DummyExecutor
def _make_mixed_engine(self):
cfg = self._make_cfg(splitwise_role="mixed", num_gpu_blocks_override=4)
return self._make_engine(cfg)
def _setup_v1_engine(self, eng):
eng.running = True
eng.is_paused = False
eng._pause_cond = threading.Condition()
self.addCleanup(lambda: setattr(eng, "running", False))
@staticmethod
def _make_v1_decode_rm(eng, schedule_result, with_add_request=False):
class DummyRM:
def __init__(self):
self.abort_req_ids_set = set()
self.waiting = []
self.real_bsz = 1
if with_add_request:
self.add_request = Mock()
def available_batch(self):
return 1
def schedule(self):
eng.running = False
return schedule_result
def get_real_bsz(self):
return self.real_bsz
return DummyRM()
@staticmethod
def _make_v1_prefill_continuous_rm(eng, waiting_async_result=False):
class DummyRM:
def __init__(self):
self.abort_req_ids_set = set()
self.waiting = []
self.real_bsz = 1
self.add_request_in_p = Mock()
self.pre_recycle_resource = Mock()
def available_batch(self):
return 1
def apply_async_preprocess(self, _task):
return None
def preallocate_resource_in_p(self, _task):
return True
def waiting_async_process(self, _task):
return waiting_async_result
def schedule(self):
eng.running = False
return ([], [])
def get_real_bsz(self):
return self.real_bsz
return DummyRM()
@staticmethod
def _make_insert_tasks_rm(n=1):
class DummyRM:
def __init__(self):
self.stop_flags = np.array([1] * n, dtype=np.int32)
self.real_bsz = 1
def check_and_free_block_tables(self):
pass
def allocate_resources_for_new_tasks(self, tasks):
return tasks
return DummyRM()
@staticmethod
def _make_scheduler_with_output(eng, token_ids, decode_type, finished, fmt="dict", include_raw=False):
class DummyOutput:
def __init__(self):
self.token_ids = token_ids
self.decode_type = decode_type
self.tool_calls = None
output = RequestOutput(
request_id="rid",
outputs=DummyOutput(),
finished=finished,
metrics=Mock(),
)
def get_results():
eng.running = False
if fmt == "list":
return [[output]]
if include_raw:
return {"rid": [output, "raw"]}
return {"rid": [output]}
eng.scheduler = Mock(get_results=get_results)
return output
@staticmethod
def _make_ctrl_queue(name, payload, payload_wrapped=True):
class DummyQueue:
def __init__(self):
self.name = name
async def get(self, timeout=None):
if payload_wrapped:
return Mock(payload=payload)
return payload
return DummyQueue()
@staticmethod
def _make_dummy_recv(eng, payload=None, error=None):
class DummyRecv:
def receive_json_once(self, block):
eng.running = False
return error, payload
def receive_pyobj_once(self, block):
eng.running = False
return error, payload
def close(self):
pass
return DummyRecv()
@staticmethod
def _make_zmq_server_cls():
class DummyServer:
def __init__(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
def recv_result_handle(self):
return None
return DummyServer
@staticmethod
def _make_zmq_thread_cls(counter=None):
class DummyThread:
def __init__(self, target=None, daemon=None):
self.target = target
self.daemon = daemon
def start(self):
if counter is not None:
counter["threads"] += 1
return DummyThread
@staticmethod
def _make_simple_dummy_q_cls():
class DummyQ:
def __init__(self, *a, **k):
pass
return DummyQ
@staticmethod
def _make_mm_stub_module():
stub_module = types.ModuleType("fastdeploy.model_executor.ops.gpu")
stub_module.get_mm_split_fuse = lambda *args, **kwargs: (
np.array([1], dtype="int64"),
np.array([4], dtype="int64"),
)
return stub_module
class _DummyPbar:
def __init__(self):
self.n = 0
def __enter__(self):
return self
def __exit__(self, exc_type, exc, tb):
return False
def update(self, delta=0, *args, **kwargs):
try:
self.n += int(delta)
except Exception:
self.n = 0
def refresh(self):
pass
@staticmethod
def _detach_finalizer(engine):
if hasattr(engine, "_finalizer"):
try:
engine._finalizer.detach()
except Exception:
pass
def _make_cfg(self, **kwargs):
# If DP > 1, we must provide enough engine_worker_queue_port for each dp index
dp = kwargs.get("data_parallel_size", 1)
nnode = len(kwargs.get("ips", ["127.0.0.1"]))
engine_worker_queue_port = int(os.getenv("FD_ENGINE_QUEUE_PORT", "6778"))
cache_queue_port = int(os.getenv("FD_CACHE_QUEUE_PORT", "6779"))
if dp and dp > 1:
engine_worker_queue_port = [engine_worker_queue_port + 21 + i for i in range(dp // nnode)]
cache_queue_port = [cache_queue_port + 21 + i for i in range(dp // nnode)]
if kwargs.get("num_gpu_blocks_override") is not None and "kv_cache_ratio" not in kwargs:
kwargs["kv_cache_ratio"] = 1
args = EngineArgs(
model=MODEL_NAME,
max_model_len=128,
tensor_parallel_size=1,
# give unique ports to avoid collision with other tests
engine_worker_queue_port=engine_worker_queue_port,
cache_queue_port=cache_queue_port,
enable_prefix_caching=True,
**kwargs,
)
# Keep batch tokens small to satisfy FDConfig checks:
# max_num_batched_tokens <= max_model_len * max_num_seqs
if getattr(args, "max_num_batched_tokens", None) is None:
args.max_num_batched_tokens = 128
# Always enable chunked prefill in tests to avoid another strict check
args.enable_chunked_prefill = True
return _create_engine_config(args)
def _stub_processor(self):
class _Tok:
def __init__(self):
self.vocab = {"</think>": 42, "\n": 10, "<|IMAGE_PLACEHOLDER|>": 9}
def get_vocab(self):
return self.vocab
class _Proc:
def __init__(self):
self.tokenizer = _Tok()
self.eos_token_id_len = 1
self.pad_token_id = 0
return _Proc()
def _make_engine(self, cfg):
with patch("fastdeploy.engine.common_engine.EngineWorkerQueue", self._make_full_dummy_q_cls()):
eng = EngineService(cfg, start_queue=False, use_async_llm=False)
return eng
def test_start_prefill_branch_cache_manager_and_worker_dead(self):
"""Cover lines 184-185, 194-197, 221, 226-227 in start()."""
# For prefill + local scheduler the core code now requires a router.
# Also, with the newer CacheConfig semantics we must ensure that
# prefill_kvcache_block_num (num_gpu_blocks_override * kv_cache_ratio)
# is >= max_block_num_per_seq; use 3 blocks so that with the default
# kv_cache_ratio=0.75 we still satisfy the assertion.
with patch("fastdeploy.engine.args_utils.envs.ENABLE_V1_KVCACHE_SCHEDULER", 0):
cfg = self._make_cfg(
splitwise_role="prefill",
num_gpu_blocks_override=4,
router="0.0.0.0:30000",
kv_cache_ratio=1,
)
# Patch EngineWorkerQueue before EngineService ctor to avoid real IPC
with patch("fastdeploy.engine.common_engine.EngineWorkerQueue", self._make_simple_dummy_q_cls()):
eng = EngineService(cfg, start_queue=False, use_async_llm=True)
# Patch heavy pieces
eng.create_data_processor = lambda: setattr(eng, "data_processor", self._stub_processor())
eng._process_splitwise_task = lambda: None
eng._schedule_request_to_worker = lambda: None
eng._schedule_request_to_worker_v1 = lambda: None
started_cache = {}
def fake_start_cache(device_ids, suffix):
started_cache["called"] = True
# return a list to mimic processes
return [object()]
eng.start_cache_service = fake_start_cache
# Signals: make loaded_model_signal ready immediately; include launched_cache_manager_signal
def fake_init_signals():
eng.worker_ready_signal = self._Sig(0)
eng.loaded_model_signal = self._Sig(1) # ready -> skip wait loop
eng.launched_cache_manager_signal = self._Sig(0)
eng._init_worker_signals = fake_init_signals
# Worker start stub and initialization status -> False to trigger error path
eng._start_worker_service = lambda: Mock(stdout=Mock(), poll=lambda: None)
eng.check_worker_initialize_status = lambda: False
with patch("fastdeploy.engine.common_engine.time.sleep", lambda *_: None):
# Avoid starting token processor loop
eng.token_processor.run = lambda: None
ok = eng.start(async_llm_pid=12345)
# start() returns False on failure
self.assertFalse(ok)
# cache manager started before workers (lines 184-185)
self.assertTrue(started_cache.get("called", False))
# avoid atexit finalizer
self._detach_finalizer(eng)
def test_start_mixed_branch_cache_after_load_and_zmq(self):
"""Cover lines 215-217 and 231 in start()."""
cfg = self._make_cfg(splitwise_role="mixed", num_gpu_blocks_override=4)
with patch("fastdeploy.engine.common_engine.EngineWorkerQueue", self._make_simple_dummy_q_cls()):
eng = EngineService(cfg, start_queue=False, use_async_llm=True)
eng.create_data_processor = lambda: setattr(eng, "data_processor", self._stub_processor())
eng._process_splitwise_task = lambda: None
eng._schedule_request_to_worker = lambda: None
eng._schedule_request_to_worker_v1 = lambda: None
started_cache = {}
def fake_start_cache(device_ids, suffix):
started_cache["called"] = True
return [object()]
eng.start_cache_service = fake_start_cache
def fake_init_signals():
eng.worker_ready_signal = self._Sig(0)
eng.loaded_model_signal = self._Sig(1)
eng.launched_cache_manager_signal = self._Sig(0)
eng._init_worker_signals = fake_init_signals
eng._start_worker_service = lambda: Mock(stdout=Mock(), poll=lambda: None)
eng.check_worker_initialize_status = lambda: True
eng.do_profile = 0
eng.cfg.cache_config.enable_prefix_caching = True
zmq_called = {}
eng.start_zmq_service = lambda pid: zmq_called.setdefault("pid", pid)
with patch("fastdeploy.engine.common_engine.time.sleep", lambda *_: None):
eng.token_processor.run = lambda: None
eng.start(async_llm_pid=8888)
self.assertTrue(started_cache.get("called", False)) # lines 215-217
self.assertEqual(zmq_called.get("pid"), 8888) # line 231
self._detach_finalizer(eng)
def test_update_requests_chunk_size_assigns_chunks(self):
eng = self._make_mixed_engine()
eng.partial_chunked_tokens = [0, 32, 16, 8]
eng.cfg.scheduler_config.max_num_batched_tokens = 32
eng.cfg.cache_config.block_size = 8
eng.cfg.cache_config.enable_chunked_prefill = True
requests = [
Request(request_id="r0", prompt_token_ids=[1] * 24, prompt_token_ids_len=24),
Request(request_id="r1", prompt_token_ids=[1] * 8, prompt_token_ids_len=8),
]
eng.update_requests_chunk_size(requests)
for req in requests:
chunk_info = req.get("prefill_chunk_info")
self.assertIsInstance(chunk_info, list)
self.assertGreater(len(chunk_info), 0)
self.assertEqual(sum(chunk_info), req.prompt_token_ids_len)
self._detach_finalizer(eng)
def test_update_mm_requests_chunk_size_with_stub_fuse(self):
eng = self._make_mixed_engine()
eng.cfg.cache_config.enable_chunked_prefill = True
eng.partial_chunked_tokens = [0, 16]
eng.data_processor = type("DP", (), {"image_patch_id": 9})()
inputs = {
"input_ids": np.array([9, 1, 2, 3], dtype="int64"),
"token_type_ids": np.array([0, 0, 0, 0], dtype="int64"),
"image_type_ids": np.array([1], dtype="int32"),
"grid_thw": np.array([[1, 2, 2]], dtype="int64"),
"images": np.ones((4,), dtype="uint8"),
"position_ids": np.array([0, 1, 2, 3], dtype="int64"),
}
req = Request(request_id="mm0", multimodal_inputs=inputs)
with patch.dict("sys.modules", {"fastdeploy.model_executor.ops.gpu": self._make_mm_stub_module()}):
eng.update_mm_requests_chunk_size([req])
chunk_info = req.get("prefill_chunk_info")
self.assertIsInstance(chunk_info, list)
self.assertEqual(len(chunk_info), 1)
self.assertEqual(chunk_info[0]["input_ids"].tolist(), inputs["input_ids"].tolist())
self.assertIsNotNone(chunk_info[0]["images"])
self._detach_finalizer(eng)
def test_send_error_response_routes(self):
eng = self._make_mixed_engine()
eng.send_response_server = Mock()
with (
patch("fastdeploy.engine.common_engine.envs.FD_ENABLE_INTERNAL_ADAPTER", False),
patch("fastdeploy.engine.common_engine.envs.ZMQ_SEND_BATCH_DATA", False),
):
eng._send_error_response("rid0", "boom", error_code=400)
eng.send_response_server.send_response.assert_called_with("rid0", [ANY])
eng.send_response_server.reset_mock()
with (
patch("fastdeploy.engine.common_engine.envs.FD_ENABLE_INTERNAL_ADAPTER", False),
patch("fastdeploy.engine.common_engine.envs.ZMQ_SEND_BATCH_DATA", True),
):
eng._send_error_response("rid2", "boom", error_code=400)
eng.send_response_server.send_response.assert_called_with(None, [ANY], worker_pid=None)
eng.send_response_server.reset_mock()
with patch("fastdeploy.engine.common_engine.envs.FD_ENABLE_INTERNAL_ADAPTER", True):
eng._send_error_response("rid1", "boom", error_code=500)
eng.send_response_server.send_response.assert_called_with(None, [ANY])
self._detach_finalizer(eng)
def test_decode_token_with_return_text(self):
eng = self._make_mixed_engine()
class DummyProcessor:
def __init__(self):
self.decode_status = {"rid": (0, 2)}
def ids2tokens(self, token_ids, req_id):
return "hi", [101, 102], None
eng.data_processor = DummyProcessor()
with patch("fastdeploy.engine.common_engine.envs.FD_ENABLE_RETURN_TEXT", True):
delta, token_ids = eng._decode_token([101, 102], "rid", is_end=True)
self.assertEqual(delta, "hi")
self.assertEqual(token_ids, [101, 102])
self.assertNotIn("rid", eng.data_processor.decode_status)
self._detach_finalizer(eng)
def test_decode_token_without_return_text(self):
eng = self._make_mixed_engine()
with patch("fastdeploy.engine.common_engine.envs.FD_ENABLE_RETURN_TEXT", False):
delta, token_ids = eng._decode_token([9, 10], "rid", is_end=False)
self.assertEqual(delta, "")
self.assertEqual(token_ids, [9, 10])
self._detach_finalizer(eng)
def test_decode_token_return_text_empty_delta(self):
eng = self._make_mixed_engine()
class DummyProcessor:
def __init__(self):
self.decode_status = {"rid": (0, 1)}
def ids2tokens(self, token_ids, req_id):
return "", [7], None
eng.data_processor = DummyProcessor()
with patch("fastdeploy.engine.common_engine.envs.FD_ENABLE_RETURN_TEXT", True):
delta, token_ids = eng._decode_token([7], "rid", is_end=True)
self.assertEqual(delta, "")
self.assertEqual(token_ids, [])
self.assertNotIn("rid", eng.data_processor.decode_status)
self._detach_finalizer(eng)
def test_clear_data_success_and_failure(self):
eng = self._make_mixed_engine()
eng.token_processor = Mock()
eng.engine_worker_queue = Mock()
eng.send_response_server = Mock(req_dict={"a": 1})
eng.recv_request_server = Mock(req_dict={"b": 2})
self.assertTrue(eng.clear_data())
self.assertEqual(eng.send_response_server.req_dict, {})
self.assertEqual(eng.recv_request_server.req_dict, {})
eng.token_processor.clear_data.side_effect = RuntimeError("boom")
self.assertFalse(eng.clear_data())
self._detach_finalizer(eng)
def test_insert_prefilled_requests_recycles_and_dispatches(self):
cfg = self._make_cfg(splitwise_role="decode", num_gpu_blocks_override=4, router="0.0.0.0:30000")
cfg.speculative_config.method = "mtp"
eng = self._make_engine(cfg)
class DummyRM:
def __init__(self):
self.req_dict = {"r0": 0, "r1": 1, "r2": 2}
self.tasks_list = [
Request(request_id="r0", prompt_token_ids=[0], prompt_token_ids_len=1),
Request(request_id="r1", prompt_token_ids=[0], prompt_token_ids_len=1),
Request(request_id="r2", prompt_token_ids=[0], prompt_token_ids_len=1),
]
self.stop_flags = np.array([False, False, False])
self.real_bsz = 1
self.recycled = []
def _recycle_block_tables(self, req):
self.recycled.append(req.request_id)
eng.resource_manager = DummyRM()
eng.token_processor = Mock()
eng.token_processor.tokens_counter = {"r0": 1, "r1": 1}
eng.scheduler = Mock()
eng.engine_worker_queue = Mock()
class DummyOutputs:
def __init__(self, token_ids, draft_token_ids=None):
self.token_ids = token_ids
self.draft_token_ids = draft_token_ids or []
self.tool_calls = None
outputs_empty = DummyOutputs([])
outputs_error = DummyOutputs([1], [9])
outputs_ok = DummyOutputs([2], [8])
req_out_empty = RequestOutput(request_id="r0", outputs=outputs_empty, metrics=Mock(), num_cached_tokens=0)
req_out_error = RequestOutput(
request_id="r1",
outputs=outputs_error,
metrics=Mock(),
num_cached_tokens=0,
error_code=500,
error_msg="bad",
)
req_out_ok = RequestOutput(request_id="r2", outputs=outputs_ok, metrics=Mock(), num_cached_tokens=3)
with patch("fastdeploy.engine.common_engine.envs.FD_ENABLE_INTERNAL_ADAPTER", True):
eng._insert_prefilled_requests([req_out_empty, req_out_error, req_out_ok])
self.assertIn("r0", eng.resource_manager.recycled)
self.assertIn("r1", eng.resource_manager.recycled)
self.assertIn("r2", eng.token_processor.tokens_counter)
eng.engine_worker_queue.put_tasks.assert_called()
self._detach_finalizer(eng)
def test_task_finished_helpers(self):
eng = self._make_mixed_engine()
class DummyRM:
def __init__(self):
self.stop_flags = np.array([True, False, True])
eng.resource_manager = DummyRM()
self.assertTrue(eng.task_is_finished(0))
self.assertFalse(eng.task_is_finished(1))
self.assertFalse(eng.all_tasks_finished())
eng.resource_manager.stop_flags = np.array([True, True])
self.assertTrue(eng.all_tasks_finished())
self._detach_finalizer(eng)
def test_start_worker_queue_service_with_servers(self):
cfg = self._make_cfg(splitwise_role="mixed", num_gpu_blocks_override=4)
class DummyQueue:
def __init__(self, *args, **kwargs):
self.kwargs = kwargs
def get_server_port(self):
return 12345
def cleanup(self):
pass
class DummyCacheQueue(DummyQueue):
pass
eng = self._make_engine(cfg)
with (
patch("fastdeploy.engine.common_engine.EngineWorkerQueue", DummyQueue),
patch("fastdeploy.engine.common_engine.EngineCacheQueue", DummyCacheQueue),
patch("fastdeploy.engine.common_engine.envs.FD_ENGINE_TASK_QUEUE_WITH_SHM", False),
):
eng.start_worker_queue_service(start_queue=True)
self.assertEqual(eng.cfg.parallel_config.local_engine_worker_queue_port, 12345)
self._detach_finalizer(eng)
def test_init_worker_monitor_signals_creates_ipc(self):
cfg = self._make_cfg(splitwise_role="mixed", num_gpu_blocks_override=4)
created = []
class DummySignal:
def __init__(self, name, array, dtype, suffix, create):
self.name = name
self.array = array
self.dtype = dtype
self.suffix = suffix
self.create = create
created.append(name)
with (
patch("fastdeploy.engine.common_engine.EngineWorkerQueue", self._make_full_dummy_q_cls()),
patch("fastdeploy.engine.common_engine.IPCSignal", DummySignal),
):
eng = EngineService(cfg, start_queue=False, use_async_llm=True)
self.assertIn("exist_task_signal", created)
self.assertIn("worker_healthy_live_signal", created)
self.assertTrue(hasattr(eng, "kv_cache_status_signal"))
self._detach_finalizer(eng)
def test_init_worker_signals_with_profile(self):
eng = self._make_mixed_engine()
eng.ipc_signal_suffix = 7777
eng.do_profile = 1
class DummySignal:
def __init__(self, *args, **kwargs):
self.value = np.zeros([1], dtype=np.int32)
def clear(self):
pass
with patch("fastdeploy.engine.common_engine.IPCSignal", DummySignal):
eng._init_worker_signals()
self.assertIsNotNone(eng.worker_ready_signal)
self.assertIsNotNone(eng.loaded_model_signal)
self.assertTrue(hasattr(eng, "get_profile_block_num_signal"))
self._detach_finalizer(eng)
def test_worker_processes_ready_and_health(self):
eng = self._make_mixed_engine()
eng.worker_ready_signal = type("Sig", (), {"value": np.array([1], dtype=np.int32)})()
eng.cfg.worker_num_per_node = 1
self.assertTrue(eng._worker_processes_ready())
eng.worker_healthy_live_signal = type("Sig", (), {"value": np.array([time.time() - 100])})()
is_healthy, message = eng.check_health(time_interval_threashold=1)
self.assertFalse(is_healthy)
self.assertIn("Not Healthy", message)
self._detach_finalizer(eng)
def test_stop_profile_resets_cache(self):
cfg = self._make_cfg(splitwise_role="prefill", num_gpu_blocks_override=4, router="0.0.0.0:30000")
eng = self._make_engine(cfg)
eng.ipc_signal_suffix = 9999
eng.do_profile = 1
eng.get_profile_block_num_signal = type("Sig", (), {"value": np.array([8])})()
eng.resource_manager = Mock()
eng.start_cache_service = Mock(return_value=[Mock()])
eng._stop_profile()
self.assertEqual(eng.do_profile, 0)
eng.resource_manager.reset_cache_config.assert_called_once()
self.assertIsNotNone(eng.cache_manager_processes)
self._detach_finalizer(eng)
def test_start_worker_queue_service_with_shm_address(self):
cfg = self._make_cfg(splitwise_role="mixed", num_gpu_blocks_override=4)
class DummyQueue:
def __init__(self, *args, **kwargs):
self.kwargs = kwargs
def get_server_port(self):
return 22222
def cleanup(self):
pass
class DummyCacheQueue(DummyQueue):
pass
eng = self._make_engine(cfg)
with (
patch("fastdeploy.engine.common_engine.EngineWorkerQueue", DummyQueue),
patch("fastdeploy.engine.common_engine.EngineCacheQueue", DummyCacheQueue),
patch("fastdeploy.engine.common_engine.envs.FD_ENGINE_TASK_QUEUE_WITH_SHM", True),
):
eng.start_worker_queue_service(start_queue=True)
address = eng.engine_worker_queue.kwargs["address"]
self.assertTrue(isinstance(address, str))
self.assertIn("/dev/shm/fd_task_queue_", address)
self._detach_finalizer(eng)
def test_start_worker_service_builds_command(self):
eng = self._make_mixed_engine()
eng.do_profile = 0
eng.data_processor = type(
"DP",
(),
{
"tokenizer": type(
"Tok",
(),
{