fix: stabilize background operations and large embedding results

This commit is contained in:
2026-09-06 16:26:17 +08:00
parent 874e916106
commit 3b9490e3fb
73 changed files with 3847 additions and 149 deletions
+36
View File
@@ -12,6 +12,42 @@ from app.local_models.runtime import Runtime
from app.providers.base import ProviderError
@pytest.mark.parametrize('threaded', [False, True])
def test_large_embedding_result_crosses_pipe_limit_without_truncation(monkeypatch, tmp_path, threaded):
import app.local_models.runtime as module
import app.local_models.process as process_module
from app.local_models.protocol import response_lines
vector = [0.012345678901234567] * 384
result = {'result': [vector] * 2111}
assert len(json.dumps(result).encode()) > 16 * 1024 * 1024
assert max(map(len, response_lines(result, 'embedding'))) < 16 * 1024 * 1024
worker = tmp_path / 'large_worker.py'
protocol_dir = Path(module.__file__).parent
worker.write_text(
'import sys,json\n'
f'sys.path.insert(0, {str(protocol_dir)!r})\n'
'from protocol import response_lines\n'
'request=json.load(sys.stdin)\n'
'vector=[0.012345678901234567]*384\n'
'for line in response_lines({"result":[vector]*len(request["payload"]["texts"])}, "embedding"):\n'
' sys.stdout.write(line)\n', encoding='utf-8')
monkeypatch.setattr(module, 'read_state', lambda key: {'status': 'installed'})
monkeypatch.setattr(module, 'interpreter', lambda *_: Path(sys.executable))
original_async = asyncio.create_subprocess_exec
original_threaded = process_module.ThreadedProcess
async def spawn(*args, **kwargs):
if threaded:
raise NotImplementedError
return await original_async(sys.executable, str(worker), **kwargs)
monkeypatch.setattr(module.asyncio, 'create_subprocess_exec', spawn)
monkeypatch.setattr(process_module, 'ThreadedProcess',
lambda args, **kwargs: original_threaded((sys.executable, str(worker)), **kwargs))
actual = asyncio.run(Runtime().infer('bekko', 'embedding', {'texts': ['test'] * 2111}))
assert actual == result['result']
def test_download_resumes_partial_and_checks_digest(monkeypatch):
payload = b'verified-model-weights'
entry = {'path':'model.safetensors','size':len(payload),'hash':hashlib.sha256(payload).hexdigest(),