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