{{ message }}
Repository navigation
Expand file tree
/
Copy pathruntime_resource_probe.py
More file actions
466 lines (408 loc) · 17.3 KB
/
Copy pathruntime_resource_probe.py
File metadata and controls
466 lines (408 loc) · 17.3 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
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
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
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
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
#!/usr/bin/env python3
"""Exercise long-lived Core registries and verify that they reach a plateau.
This probe is intentionally separate from the default test suite because the
audit profile creates tens of thousands of historical identities. It uses the
real admission, eviction, and cleanup code while replacing external platform
objects that are irrelevant to registry retention.
"""
from __future__ import annotations
import argparse
import asyncio
import gc
import json
import time
import tracemalloc
from dataclasses import asdict, dataclass
from types import SimpleNamespace
from unittest.mock import patch
import psutil
from langbot.pkg.api.http.context import ExecutionContext
# Import the Application graph before taskmgr. The production boot path has
# this same ordering; importing taskmgr first exposes its historical cycle
# through HTTP route annotations.
from langbot.pkg.core import app as _core_app # noqa: F401
from langbot.pkg.core.taskmgr import AsyncTaskManager
from langbot.pkg.pipeline.pool import QueryPool
from langbot.pkg.pipeline.ratelimit.algos.fixedwin import FixedWindowAlgo
from langbot.pkg.plugin.connector import PluginRuntimeConnector
from langbot.pkg.platform.sources.websocket_adapter import (
WebSocketMessage,
WebSocketSession,
)
from langbot.pkg.provider.modelmgr.modelmgr import ModelManager
from langbot.pkg.provider.session.sessionmgr import SessionManager
from langbot_plugin.api.entities.builtin.provider.session import LauncherTypes
@dataclass(frozen=True, slots=True)
class ProbeScale:
query_churn_per_phase: int
session_churn_per_phase: int
rate_limit_churn_per_phase: int
task_churn_per_phase: int
websocket_churn_per_phase: int
empty_workspace_churn_per_phase: int
SCALES = {
'quick': ProbeScale(
query_churn_per_phase=2_500,
session_churn_per_phase=500,
rate_limit_churn_per_phase=10_000,
task_churn_per_phase=1_000,
websocket_churn_per_phase=500,
empty_workspace_churn_per_phase=1_000,
),
'audit': ProbeScale(
query_churn_per_phase=25_000,
session_churn_per_phase=2_500,
rate_limit_churn_per_phase=10_000,
task_churn_per_phase=5_000,
websocket_churn_per_phase=2_500,
empty_workspace_churn_per_phase=10_000,
),
}
class _ProbeQuery:
"""Small weak-referenceable stand-in for SDK Query construction."""
def __init__(self, **values):
self.__dict__.update(values)
class _EmptyResult:
def all(self) -> list:
return []
class _EmptyPluginRuntimeHandler:
async def reconcile_plugin_installations(self, _states: tuple) -> dict:
return {
'applied': [],
'removed': [],
'missing_artifacts': [],
'failed_installations': [],
}
def unregister_installation_binding(self, _binding) -> None:
raise AssertionError('An empty Workspace exposed an installation binding')
@dataclass(frozen=True, slots=True)
class ProcessSample:
rss_bytes: int
traced_current_bytes: int
traced_peak_bytes: int
asyncio_tasks: int
threads: int
open_fds: int | None
def _sample_process() -> ProcessSample:
gc.collect()
process = psutil.Process()
try:
open_fds = process.num_fds()
except (AttributeError, psutil.Error):
open_fds = None
traced_current, traced_peak = tracemalloc.get_traced_memory()
return ProcessSample(
rss_bytes=process.memory_info().rss,
traced_current_bytes=traced_current,
traced_peak_bytes=traced_peak,
asyncio_tasks=len(asyncio.all_tasks()),
threads=process.num_threads(),
open_fds=open_fds,
)
def _execution_context(index: int, *, query_uuid: str | None = None) -> ExecutionContext:
return ExecutionContext(
instance_uuid='runtime-resource-probe',
workspace_uuid=f'workspace-{index}',
placement_generation=1,
bot_uuid='probe-bot',
pipeline_uuid='probe-pipeline',
query_uuid=query_uuid,
)
class CoreRuntimeProbe:
"""Own the same manager instances across two equal churn phases."""
def __init__(self) -> None:
self.query_pool = QueryPool(max_queries=100, max_queries_per_workspace=1)
app = SimpleNamespace(
event_loop=asyncio.get_running_loop(),
persistence_mgr=None,
instance_config=SimpleNamespace(
data={
'concurrency': {'session': 1},
'system': {
'session_retention': {
'idle_ttl_seconds': 86_400,
'max_entries': 200,
'max_entries_per_workspace': 200,
'max_conversations_per_session': 20,
'max_messages_per_conversation': 100,
},
'task_retention': {
'completed_limit': 200,
'max_log_chars': 4_096,
'max_active_user_tasks': 256,
'max_active_user_tasks_per_workspace': 8,
},
},
}
),
)
self.session_manager = SessionManager(app)
self.task_manager = AsyncTaskManager(app)
self.rate_limit = FixedWindowAlgo(SimpleNamespace())
self.websocket_session = WebSocketSession(
'resource-probe',
max_conversations=200,
max_messages=100,
)
logger = SimpleNamespace(
debug=lambda *_args, **_kwargs: None,
info=lambda *_args, **_kwargs: None,
warning=lambda *_args, **_kwargs: None,
error=lambda *_args, **_kwargs: None,
)
self.empty_model_queries = 0
async def execute_empty(_statement):
self.empty_model_queries += 1
return _EmptyResult()
model_app = SimpleNamespace(
logger=logger,
persistence_mgr=SimpleNamespace(execute_async=execute_empty),
)
self.empty_model_manager = ModelManager(model_app)
async def runtime_disconnect_callback(_connector) -> None:
return None
plugin_app = SimpleNamespace(
instance_config=SimpleNamespace(data={'plugin': {'enable': True}}),
deployment=SimpleNamespace(mode='cloud'),
logger=logger,
)
self.empty_plugin_connector = PluginRuntimeConnector(
plugin_app,
runtime_disconnect_callback,
)
self.empty_plugin_connector.handler = _EmptyPluginRuntimeHandler()
async def validate_context(context):
return context
async def load_desired_states(_context):
return []
self.empty_plugin_connector._validate_execution_context = validate_context
self.empty_plugin_connector._load_workspace_desired_states = load_desired_states
async def initialize(self) -> None:
await self.rate_limit.initialize()
async def run_phase(self, scale: ProbeScale, phase: int) -> None:
offsets = {
'query': (phase - 1) * scale.query_churn_per_phase,
'session': (phase - 1) * scale.session_churn_per_phase,
'rate': (phase - 1) * scale.rate_limit_churn_per_phase,
'task': (phase - 1) * scale.task_churn_per_phase,
'websocket': (phase - 1) * scale.websocket_churn_per_phase,
'empty_workspace': ((phase - 1) * scale.empty_workspace_churn_per_phase),
}
await self._churn_queries(offsets['query'], scale.query_churn_per_phase)
await self._churn_sessions(offsets['session'], scale.session_churn_per_phase)
await self._churn_rate_limits(offsets['rate'], scale.rate_limit_churn_per_phase)
await self._churn_tasks(offsets['task'], scale.task_churn_per_phase)
self._churn_websocket_history(
offsets['websocket'],
scale.websocket_churn_per_phase,
)
await self._churn_empty_workspaces(
offsets['empty_workspace'],
scale.empty_workspace_churn_per_phase,
)
await asyncio.sleep(0)
async def _churn_queries(self, start: int, count: int) -> None:
def make_query(**values):
return _ProbeQuery(**values)
with patch(
'langbot.pkg.pipeline.pool.pipeline_query.Query',
side_effect=make_query,
):
for index in range(start, start + count):
context = _execution_context(index)
query = await self.query_pool.add_query(
bot_uuid='probe-bot',
launcher_type=LauncherTypes.PERSON,
launcher_id=f'launcher-{index}',
sender_id=f'sender-{index}',
message_event=SimpleNamespace(),
message_chain=SimpleNamespace(),
adapter=None,
pipeline_uuid='probe-pipeline',
execution_context=context,
)
removed = await self.query_pool.remove_query(query)
if not removed:
raise AssertionError('Query cleanup failed')
async def _churn_sessions(self, start: int, count: int) -> None:
for index in range(start, start + count):
workspace_index = index % 100
context = _execution_context(
workspace_index,
query_uuid=f'session-query-{index}',
)
query = SimpleNamespace(
launcher_type=LauncherTypes.PERSON,
launcher_id=f'launcher-{index}',
sender_id=f'sender-{index}',
bot_uuid='probe-bot',
pipeline_uuid='probe-pipeline',
query_uuid=context.query_uuid,
_execution_context=context,
)
await self.session_manager.get_session(query)
async def _churn_rate_limits(self, start: int, count: int) -> None:
for index in range(start, start + count):
context = _execution_context(
index % 1_000,
query_uuid=f'rate-query-{index}',
)
query = SimpleNamespace(
bot_uuid='probe-bot',
pipeline_uuid='probe-pipeline',
_execution_context=context,
pipeline_config={
'safety': {
'rate-limit': {
'window-length': 60,
'limitation': 100_000,
'strategy': 'drop',
}
}
},
)
admitted = await self.rate_limit.require_access(
query,
LauncherTypes.PERSON,
f'rate-identity-{index}',
)
if not admitted:
raise AssertionError('Rate-limit registry rejected bounded churn')
async def _churn_tasks(self, start: int, count: int) -> None:
async def complete_immediately() -> None:
return None
for batch_start in range(start, start + count, 256):
batch_size = min(256, start + count - batch_start)
wrappers = [
self.task_manager.create_task(
complete_immediately(),
name=f'resource-probe-{batch_start + offset}',
)
for offset in range(batch_size)
]
await asyncio.gather(*(wrapper.task for wrapper in wrappers))
await asyncio.sleep(0)
def _churn_websocket_history(self, start: int, count: int) -> None:
for index in range(start, start + count):
conversation_key = f'conversation-{index}'
response_id = f'response-{index}'
indexes = self.websocket_session.get_stream_message_indexes(conversation_key)
indexes[response_id] = 0
self.websocket_session.append_message(
conversation_key,
WebSocketMessage(
id=self.websocket_session.next_message_id(conversation_key),
role='assistant',
content='probe',
message_chain=[],
timestamp='1970-01-01T00:00:00+00:00',
is_final=True,
),
)
async def _churn_empty_workspaces(self, start: int, count: int) -> None:
for index in range(start, start + count):
await self.empty_model_manager._load_workspace_models(_execution_context(index))
await self.empty_plugin_connector.reconcile_projected_workspaces(
_execution_context(index) for index in range(start, start + count)
)
def retained_state(self) -> dict[str, int]:
return {
'query_cached': len(self.query_pool.cached_queries),
'query_queued': len(self.query_pool.queries),
'query_active_workspaces': len(self.query_pool.active_query_count_by_workspace),
'query_scope_counters': len(self.query_pool.query_count_by_scope),
'sessions': len(self.session_manager.session_list),
'session_index': len(self.session_manager._session_index),
'rate_limit_containers': len(self.rate_limit.containers),
'task_records': len(self.task_manager.tasks),
'websocket_conversations': len(self.websocket_session.message_lists),
'websocket_stream_indexes': len(self.websocket_session.stream_message_indexes),
'empty_model_scopes': len(self.empty_model_manager._scope_generations),
'empty_model_providers': len(self.empty_model_manager.provider_dict),
'empty_model_llms': len(self.empty_model_manager.llm_model_dict),
'empty_plugin_workspace_sets': len(self.empty_plugin_connector._workspace_installations),
'empty_plugin_installations': len(self.empty_plugin_connector._known_desired_states),
}
def assert_bounded(self) -> None:
state = self.retained_state()
expected_maximums = {
'query_cached': 0,
'query_queued': 0,
'query_active_workspaces': 0,
'query_scope_counters': 100,
'sessions': 200,
'session_index': 200,
'rate_limit_containers': 10_000,
'task_records': 200,
'websocket_conversations': 200,
'websocket_stream_indexes': 200,
'empty_model_scopes': 0,
'empty_model_providers': 0,
'empty_model_llms': 0,
'empty_plugin_workspace_sets': 0,
'empty_plugin_installations': 0,
}
violations = {key: (state[key], maximum) for key, maximum in expected_maximums.items() if state[key] > maximum}
if violations:
raise AssertionError(f'Core retained-state limits failed: {violations}')
async def _run(args: argparse.Namespace) -> dict:
scale = SCALES[args.scale]
tracemalloc.start()
started_at = time.monotonic()
probe = CoreRuntimeProbe()
await probe.initialize()
baseline = _sample_process()
await probe.run_phase(scale, 1)
probe.assert_bounded()
phase_one = _sample_process()
state_one = probe.retained_state()
await probe.run_phase(scale, 2)
probe.assert_bounded()
phase_two = _sample_process()
state_two = probe.retained_state()
if state_two != state_one:
raise AssertionError(f'Core retained state did not plateau: phase_one={state_one}, phase_two={state_two}')
traced_growth = phase_two.traced_current_bytes - phase_one.traced_current_bytes
rss_growth = phase_two.rss_bytes - phase_one.rss_bytes
max_traced_growth = int(args.max_traced_growth_mib * 1024 * 1024)
max_rss_growth = int(args.max_rss_growth_mib * 1024 * 1024)
if traced_growth > max_traced_growth:
raise AssertionError(f'Second-phase traced memory grew by {traced_growth} bytes (limit {max_traced_growth})')
if rss_growth > max_rss_growth:
raise AssertionError(f'Second-phase RSS grew by {rss_growth} bytes (limit {max_rss_growth})')
return {
'component': 'langbot-core',
'scale': args.scale,
'work_per_phase': asdict(scale),
'elapsed_seconds': round(time.monotonic() - started_at, 3),
'samples': {
'baseline': asdict(baseline),
'phase_one': asdict(phase_one),
'phase_two': asdict(phase_two),
},
'second_phase_growth': {
'rss_bytes': rss_growth,
'traced_current_bytes': traced_growth,
},
'retained_state': {
'phase_one': state_one,
'phase_two': state_two,
},
'passed': True,
}
def _parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--scale', choices=tuple(SCALES), default='quick')
parser.add_argument('--max-traced-growth-mib', type=float, default=8.0)
parser.add_argument('--max-rss-growth-mib', type=float, default=64.0)
parser.add_argument('--json', action='store_true', help='Print compact JSON')
return parser.parse_args()
def main() -> None:
args = _parse_args()
result = asyncio.run(_run(args))
if args.json:
print(json.dumps(result, sort_keys=True))
else:
print(json.dumps(result, indent=2, sort_keys=True))
if __name__ == '__main__':
main()
You can’t perform that action at this time.