conftest.py 16 KB
Newer Older
Neelay Shah's avatar
Neelay Shah committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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 logging
import os
18
import shutil
Neelay Shah's avatar
Neelay Shah committed
19
import tempfile
20
21
from pathlib import Path
from typing import Optional
Neelay Shah's avatar
Neelay Shah committed
22
23

import pytest
24
from filelock import FileLock
Neelay Shah's avatar
Neelay Shah committed
25

Alec's avatar
Alec committed
26
from tests.utils.constants import TEST_MODELS
Neelay Shah's avatar
Neelay Shah committed
27
28
from tests.utils.managed_process import ManagedProcess

Alec's avatar
Alec committed
29
30

def pytest_configure(config):
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
    # Defining markers to avoid `<marker> not found in 'markers' configuration option`
    # errors when pyproject.toml is not available in the container (e.g. some CI jobs).
    # IMPORTANT: Keep this marker list in sync with [tool.pytest.ini_options].markers
    # in pyproject.toml. If you add or remove markers there, mirror the change here.
    markers = [
        "pre_merge: marks tests to run before merging",
        "post_merge: marks tests to run after merge",
        "parallel: marks tests that can run in parallel with pytest-xdist",
        "nightly: marks tests to run nightly",
        "weekly: marks tests to run weekly",
        "gpu_0: marks tests that don't require GPU",
        "gpu_1: marks tests to run on GPU",
        "gpu_2: marks tests to run on 2GPUs",
        "gpu_4: marks tests to run on 4GPUs",
        "gpu_8: marks tests to run on 8GPUs",
        "e2e: marks tests as end-to-end tests",
        "integration: marks tests as integration tests",
        "unit: marks tests as unit tests",
        "stress: marks tests as stress tests",
        "performance: marks tests as performance tests",
        "vllm: marks tests as requiring vllm",
        "trtllm: marks tests as requiring trtllm",
        "sglang: marks tests as requiring sglang",
        "multimodal: marks tests as multimodal (image/video) tests",
        "slow: marks tests as known to be slow",
        "h100: marks tests to run on H100",
        "router: marks tests for router component",
        "planner: marks tests for planner component",
        "kvbm: marks tests for KV behavior and model determinism",
        "kvbm_v2: marks tests using KVBM V2",
        "model: model id used by a test or parameter",
        "custom_build: marks tests that require custom builds or special setup (e.g., MoE models)",
        "k8s: marks tests as requiring Kubernetes",
        "fault_tolerance: marks tests as fault tolerance tests",
    ]
    for marker in markers:
        config.addinivalue_line("markers", marker)
Alec's avatar
Alec committed
68
69


Neelay Shah's avatar
Neelay Shah committed
70
LOG_FORMAT = "[TEST] %(asctime)s %(levelname)s %(name)s: %(message)s"
71
DATE_FORMAT = "%Y-%m-%dT%H:%M:%S"
Neelay Shah's avatar
Neelay Shah committed
72
73
74
75

logging.basicConfig(
    level=logging.INFO,
    format=LOG_FORMAT,
76
    datefmt=DATE_FORMAT,  # ISO 8601 UTC format
Neelay Shah's avatar
Neelay Shah committed
77
78
)

79

Alec's avatar
Alec committed
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
@pytest.fixture()
def set_ucx_tls_no_mm():
    """Set UCX env defaults for all tests."""
    mp = pytest.MonkeyPatch()
    # CI note:
    # - Affected test: tests/fault_tolerance/cancellation/test_vllm.py::test_request_cancellation_vllm_decode_cancel
    # - Symptom on L40 CI: UCX/NIXL mm transport assertion during worker init
    #   (uct_mem.c:482: mem.memh != UCT_MEM_HANDLE_NULL) when two workers
    #   start on the same node (maybe a shared-memory segment collision/limits).
    # - Mitigation: disable UCX "mm" shared-memory transport globally for tests
    mp.setenv("UCX_TLS", "^mm")
    yield
    mp.undo()


95
def download_models(model_list=None, ignore_weights=False):
96
97
98
99
    """Download models - can be called directly or via fixture

    Args:
        model_list: List of model IDs to download. If None, downloads TEST_MODELS.
100
        ignore_weights: If True, skips downloading model weight files. Default is False.
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
    """
    if model_list is None:
        model_list = TEST_MODELS

    # Check for HF_TOKEN in environment
    hf_token = os.environ.get("HF_TOKEN")
    if hf_token:
        logging.info("HF_TOKEN found in environment")
    else:
        logging.warning(
            "HF_TOKEN not found in environment. "
            "Some models may fail to download or you may encounter rate limits. "
            "Get a token from https://huggingface.co/settings/tokens"
        )

    try:
        from huggingface_hub import snapshot_download

        for model_id in model_list:
120
121
122
            logging.info(
                f"Pre-downloading {'model (no weights)' if ignore_weights else 'model'}: {model_id}"
            )
123
124

            try:
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
                if ignore_weights:
                    # Weight file patterns to exclude (based on hub.rs implementation)
                    weight_patterns = [
                        "*.bin",
                        "*.safetensors",
                        "*.h5",
                        "*.msgpack",
                        "*.ckpt.index",
                    ]

                    # Download everything except weight files
                    snapshot_download(
                        repo_id=model_id,
                        token=hf_token,
                        ignore_patterns=weight_patterns,
                    )
                else:
                    # Download the full model snapshot (includes all files)
                    snapshot_download(
                        repo_id=model_id,
                        token=hf_token,
                    )
147
148
149
150
151
152
153
154
155
156
157
158
159
160
                logging.info(f"Successfully pre-downloaded: {model_id}")

            except Exception as e:
                logging.error(f"Failed to pre-download {model_id}: {e}")
                # Don't fail the fixture - let individual tests handle missing models

    except ImportError:
        logging.warning(
            "huggingface_hub not installed. "
            "Models will be downloaded during test execution."
        )


@pytest.fixture(scope="session")
Alec's avatar
Alec committed
161
162
163
164
165
166
167
168
169
170
171
172
def predownload_models(pytestconfig):
    """Fixture wrapper around download_models for models used in collected tests"""
    # Get models from pytest config if available, otherwise fall back to TEST_MODELS
    models = getattr(pytestconfig, "models_to_download", None)
    if models:
        logging.info(
            f"Downloading {len(models)} models needed for collected tests\nModels: {models}"
        )
        download_models(model_list=list(models))
    else:
        # Fallback to original behavior if extraction failed
        download_models()
173
174
    yield

Neelay Shah's avatar
Neelay Shah committed
175

176
@pytest.fixture(scope="session")
Alec's avatar
Alec committed
177
178
179
180
181
182
183
184
185
186
187
188
def predownload_tokenizers(pytestconfig):
    """Fixture wrapper around download_models for tokenizers used in collected tests"""
    # Get models from pytest config if available, otherwise fall back to TEST_MODELS
    models = getattr(pytestconfig, "models_to_download", None)
    if models:
        logging.info(
            f"Downloading tokenizers for {len(models)} models needed for collected tests\nModels: {models}"
        )
        download_models(model_list=list(models), ignore_weights=True)
    else:
        # Fallback to original behavior if extraction failed
        download_models(ignore_weights=True)
189
190
191
    yield


192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
@pytest.fixture(autouse=True)
def logger(request):
    log_path = os.path.join(request.node.name, "test.log.txt")
    logger = logging.getLogger()
    shutil.rmtree(request.node.name, ignore_errors=True)
    os.makedirs(request.node.name, exist_ok=True)
    handler = logging.FileHandler(log_path, mode="w")
    formatter = logging.Formatter(LOG_FORMAT, datefmt=DATE_FORMAT)
    handler.setFormatter(formatter)
    logger.addHandler(handler)
    yield
    handler.close()
    logger.removeHandler(handler)


Alec's avatar
Alec committed
207
@pytest.hookimpl(trylast=True)
208
209
210
211
def pytest_collection_modifyitems(config, items):
    """
    This function is called to modify the list of tests to run.
    """
Alec's avatar
Alec committed
212
213
    # Collect models via explicit pytest mark from final filtered items only
    models_to_download = set()
214
    for item in items:
Alec's avatar
Alec committed
215
216
217
218
219
220
221
222
223
224
225
226
        # Only collect from items that are not skipped
        if any(
            getattr(m, "name", "") == "skip" for m in getattr(item, "own_markers", [])
        ):
            continue
        model_mark = item.get_closest_marker("model")
        if model_mark and model_mark.args:
            models_to_download.add(model_mark.args[0])

    # Store models to download in pytest config for fixtures to access
    if models_to_download:
        config.models_to_download = models_to_download
227

228

Neelay Shah's avatar
Neelay Shah committed
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
class EtcdServer(ManagedProcess):
    def __init__(self, request, port=2379, timeout=300):
        port_string = str(port)
        etcd_env = os.environ.copy()
        etcd_env["ALLOW_NONE_AUTHENTICATION"] = "yes"
        data_dir = tempfile.mkdtemp(prefix="etcd_")
        command = [
            "etcd",
            "--listen-client-urls",
            f"http://0.0.0.0:{port_string}",
            "--advertise-client-urls",
            f"http://0.0.0.0:{port_string}",
            "--data-dir",
            data_dir,
        ]
        super().__init__(
            env=etcd_env,
            command=command,
            timeout=timeout,
            display_output=False,
            health_check_ports=[port],
250
            data_dir=data_dir,
Neelay Shah's avatar
Neelay Shah committed
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
            log_dir=request.node.name,
        )


class NatsServer(ManagedProcess):
    def __init__(self, request, port=4222, timeout=300):
        data_dir = tempfile.mkdtemp(prefix="nats_")
        command = ["nats-server", "-js", "--trace", "--store_dir", data_dir]
        super().__init__(
            command=command,
            timeout=timeout,
            display_output=False,
            data_dir=data_dir,
            health_check_ports=[port],
            log_dir=request.node.name,
        )


269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
class SharedManagedProcess:
    """Base class for ManagedProcess with file-based reference counting for multi-process sharing."""

    def __init__(
        self,
        request,
        tmp_path_factory,
        resource_name: str,
        port: int,
        timeout: int = 300,
    ):
        self.request = request
        self.port = port
        self.timeout = timeout
        self.resource_name = resource_name
        self._server: Optional[ManagedProcess] = None
        self._owns_process = False

        root_tmp = Path(tempfile.gettempdir()) / "pytest_ref_counting"
        root_tmp.mkdir(parents=True, exist_ok=True)

        self.ref_file = root_tmp / f"pytest_{resource_name}_{port}_ref_count"
        self.lock_file = str(self.ref_file) + ".lock"

    def _create_server(self) -> ManagedProcess:
        """Create the underlying server instance. Must be implemented by subclasses."""
        raise NotImplementedError

    def _read_ref_count(self) -> int:
        """Read current reference count."""
        if self.ref_file.exists():
            try:
                return int(self.ref_file.read_text().strip())
            except (ValueError, IOError):
                return 0
        return 0

    def _write_ref_count(self, count: int):
        """Write reference count atomically."""
        self.ref_file.write_text(str(count))

    def _increment_ref_count(self) -> int:
        """Increment reference count and return new count."""
        count = self._read_ref_count()
        count += 1
        self._write_ref_count(count)
        return count

    def _decrement_ref_count(self) -> int:
        """Decrement reference count and return new count."""
        count = self._read_ref_count()
        count = max(0, count - 1)
        self._write_ref_count(count)
        return count

    def __enter__(self):
        with FileLock(self.lock_file):
            ref_count = self._increment_ref_count()
            if ref_count == 1:
                # First reference - start the process
                self._server = self._create_server()
                self._server.__enter__()
                self._owns_process = True
                logging.info(f"[{self.resource_name}] Started process (ref_count=1)")
            else:
                # Process already running, just track reference
                self._owns_process = False
                logging.info(
                    f"[{self.resource_name}] Reusing existing process (ref_count={ref_count})"
                )
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        with FileLock(self.lock_file):
            ref_count = self._decrement_ref_count()
            if ref_count == 0 and self._owns_process:
                # Last reference - stop the process
                if self._server:
                    self._server.__exit__(exc_type, exc_val, exc_tb)
                logging.info(f"[{self.resource_name}] Stopped process (ref_count=0)")
            elif ref_count == 0:
                # Last reference but we don't own it - shouldn't happen, but clean up ref file
                if self.ref_file.exists():
                    self.ref_file.unlink()
                logging.warning(
                    f"[{self.resource_name}] Ref count reached 0 but we don't own process"
                )
            else:
                logging.info(
                    f"[{self.resource_name}] Released reference (ref_count={ref_count})"
                )


class SharedEtcdServer(SharedManagedProcess):
    """EtcdServer with file-based reference counting for multi-process sharing."""

    def __init__(self, request, tmp_path_factory, port=2379, timeout=300):
        super().__init__(request, tmp_path_factory, "etcd", port, timeout)
        # Create a log directory for session-scoped servers
        self._log_dir = tempfile.mkdtemp(prefix=f"pytest_{self.resource_name}_logs_")

    def _create_server(self) -> ManagedProcess:
        """Create EtcdServer instance."""
        server = EtcdServer(self.request, port=self.port, timeout=self.timeout)
        # Override log_dir since request.node.name is empty in session scope
        server.log_dir = self._log_dir
        return server


class SharedNatsServer(SharedManagedProcess):
    """NatsServer with file-based reference counting for multi-process sharing."""

    def __init__(self, request, tmp_path_factory, port=4222, timeout=300):
        super().__init__(request, tmp_path_factory, "nats", port, timeout)
        # Create a log directory for session-scoped servers
        self._log_dir = tempfile.mkdtemp(prefix=f"pytest_{self.resource_name}_logs_")

    def _create_server(self) -> ManagedProcess:
        """Create NatsServer instance."""
        server = NatsServer(self.request, port=self.port, timeout=self.timeout)
        # Override log_dir since request.node.name is empty in session scope
        server.log_dir = self._log_dir
        return server


Neelay Shah's avatar
Neelay Shah committed
394
395
396
397
398
@pytest.fixture()
def runtime_services(request):
    with NatsServer(request) as nats_process:
        with EtcdServer(request) as etcd_process:
            yield nats_process, etcd_process
399
400


401
402
403
404
405
406
407
408
409
410
411
412
413
414
@pytest.fixture(scope="session")
def runtime_services_session(request, tmp_path_factory):
    """Session-scoped fixture that provides shared NATS and etcd instances for all tests.

    Uses file-based reference counting to coordinate between pytest-xdist worker processes.
    Only the first worker starts services, and only the last worker tears them down.

    Test isolation is achieved through unique namespaces (test-namespace-{random-suffix}).
    """
    with SharedNatsServer(request, tmp_path_factory) as nats:
        with SharedEtcdServer(request, tmp_path_factory) as etcd:
            yield nats, etcd


415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
@pytest.fixture
def file_storage_backend():
    """Fixture that sets up and tears down file storage backend.

    Creates a temporary directory for file-based KV storage and sets
    the DYN_FILE_KV environment variable. Cleans up after the test.
    """
    with tempfile.TemporaryDirectory() as tmpdir:
        old_env = os.environ.get("DYN_FILE_KV")
        os.environ["DYN_FILE_KV"] = tmpdir
        logging.info(f"Set up file storage backend in: {tmpdir}")
        yield tmpdir
        # Cleanup
        if old_env is not None:
            os.environ["DYN_FILE_KV"] = old_env
        else:
            os.environ.pop("DYN_FILE_KV", None)