frontend.py 3.63 KB
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# 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.

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import logging
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import subprocess
from pathlib import Path

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from components.worker import TensorRTLLMWorker
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from fastapi import FastAPI
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from pydantic import BaseModel

from dynamo import sdk
from dynamo.sdk import depends, service
from dynamo.sdk.lib.config import ServiceConfig
from dynamo.sdk.lib.image import DYNAMO_IMAGE

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logger = logging.getLogger(__name__)

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def get_dynamo_run_binary():
    """Find the dynamo-run binary path in SDK or fallback to 'dynamo-run' command."""
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    sdk_path = Path(sdk.__file__)
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    binary_path = sdk_path.parent / "cli/bin/dynamo-run"
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    if not binary_path.exists():
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        return "dynamo-run"
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    else:
        return str(binary_path)


class FrontendConfig(BaseModel):
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    """Configuration for the Frontend service including model and HTTP server settings."""

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    served_model_name: str
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    endpoint: str
    port: int = 8000
    router: str = "round-robin"
    block_size: int = 32
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# todo this should be called ApiServer
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@service(
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    dynamo={
        "namespace": "dynamo",
    },
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    workers=1,
    image=DYNAMO_IMAGE,
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    app=FastAPI(title="TensorRT-LLM Example"),
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)
class Frontend:
    worker = depends(TensorRTLLMWorker)

    def __init__(self):
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        """Initialize Frontend service with HTTP server and model configuration."""
        self.frontend_config = FrontendConfig(
            **ServiceConfig.get_parsed_config("Frontend")
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        )
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        self.process = None
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        logger.warning(f"Frontend config: {self.frontend_config}")

        self.start_ingress_and_processor()

    def start_ingress_and_processor(self):
        """Starting dynamo-run based ingress and processor"""
        logger.info(
            f"Starting HTTP server and processor on port {self.frontend_config.port}"
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        )
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        dynamo_run_binary = get_dynamo_run_binary()

        cmd = [
            dynamo_run_binary,
            "in=http",
            "out=dyn",
            "--http-port",
            str(self.frontend_config.port),
            "--router-mode",
            self.frontend_config.router,
        ]

        logger.info(f"Frontend cmd: {cmd}")
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        self.process = subprocess.Popen(
            cmd,
            stdout=None,
            stderr=None,
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        )
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    def close(self):
        """Clean up resources by terminating the subprocess."""
        if self.process is not None:
            try:
                logger.info("Terminating subprocess...")
                self.process.terminate()
                # Wait for process to terminate with a timeout
                self.process.wait(timeout=5)
            except subprocess.TimeoutExpired:
                logger.warning("Subprocess did not terminate gracefully, forcing kill")
                self.process.kill()
                self.process.wait()
            except Exception as e:
                logger.error(f"Error while terminating subprocess: {e}")
            finally:
                self.process = None

    def __del__(self):
        """Destructor to ensure subprocess is cleaned up."""
        self.close()