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107 lines
3.8 KiB
Python
107 lines
3.8 KiB
Python
# Copyright (c) 2026 LightSeek Foundation
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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"""Minimal in-process fake of the TokenSpeed gRPC engine."""
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from __future__ import annotations
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import argparse
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import asyncio
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import signal
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from concurrent import futures
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import grpc
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from grpc_health.v1 import health_pb2, health_pb2_grpc
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class _FakeHealth(health_pb2_grpc.HealthServicer):
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def Check(self, request, context):
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return health_pb2.HealthCheckResponse(
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status=health_pb2.HealthCheckResponse.SERVING
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)
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def Watch(self, request, context):
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yield health_pb2.HealthCheckResponse(
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status=health_pb2.HealthCheckResponse.SERVING
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)
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def _add_tokenspeed_servicer(server) -> None:
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"""Register a no-op TokenSpeedScheduler servicer for readiness + shutdown tests."""
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from smg_grpc_proto import tokenspeed_scheduler_pb2 as pb
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from smg_grpc_proto import tokenspeed_scheduler_pb2_grpc as pbg
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class _Servicer(pbg.TokenSpeedSchedulerServicer):
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def GetModelInfo(self, request, context):
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return pb.GetModelInfoResponse(
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model_path="/fake",
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tokenizer_path="/fake",
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served_model_name="fake-model",
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model_type="llama",
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architectures=["LlamaForCausalLM"],
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max_context_length=2048,
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max_req_input_len=2048,
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vocab_size=32000,
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eos_token_ids=[2],
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pad_token_id=0,
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bos_token_id=1,
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weight_version="fake-v0",
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default_sampling_params_json="",
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)
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def HealthCheck(self, request, context):
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return pb.HealthCheckResponse(healthy=True, message="fake engine ok")
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def GetServerInfo(self, request, context):
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return pb.GetServerInfoResponse()
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def GetLoads(self, request, context):
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return pb.GetLoadsResponse()
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pbg.add_TokenSpeedSchedulerServicer_to_server(_Servicer(), server)
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async def _serve(host: str, port: int) -> None:
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server = grpc.aio.server(futures.ThreadPoolExecutor(max_workers=4))
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health_pb2_grpc.add_HealthServicer_to_server(_FakeHealth(), server)
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_add_tokenspeed_servicer(server)
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server.add_insecure_port(f"{host}:{port}")
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await server.start()
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stop = asyncio.Event()
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loop = asyncio.get_running_loop()
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for sig in (signal.SIGTERM, signal.SIGINT):
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loop.add_signal_handler(sig, stop.set)
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try:
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await stop.wait()
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finally:
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await server.stop(grace=2.0)
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def main(argv: list[str] | None = None) -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("--host", default="127.0.0.1")
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parser.add_argument("--port", type=int, required=True)
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args, _ignored = parser.parse_known_args(argv)
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asyncio.run(_serve(args.host, args.port))
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if __name__ == "__main__":
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main()
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