64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import asyncio
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import uvloop
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from dynamo.runtime import DistributedRuntime, dynamo_worker
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@dynamo_worker()
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async def worker(runtime: DistributedRuntime):
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# Get endpoint
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endpoint = runtime.endpoint("hello_world.backend.generate")
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# Create client and wait for service to be ready
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client = await endpoint.client()
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await client.wait_for_instances()
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idx = 0
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base_delay = 0.1 # Start with 100ms
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max_delay = 5.0 # Max 5 seconds
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current_delay = base_delay
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while True:
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try:
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# Issue request and process the stream
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idx += 1
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stream = await client.generate("world,sun,moon,star")
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async for response in stream:
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print(response.data())
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# Reset backoff on successful iteration
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current_delay = base_delay
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# Sleep for 1 second
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await asyncio.sleep(1)
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except asyncio.CancelledError:
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# Re-raise for graceful shutdown
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raise
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except Exception as e:
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# Log the exception with context
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print(f"Error in worker iteration {idx}: {type(e).__name__}: {e}")
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# Perform exponential backoff
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print(f"Retrying after {current_delay:.2f} seconds...")
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await asyncio.sleep(current_delay)
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# Double the delay for next time, up to max_delay
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current_delay = min(current_delay * 2, max_delay)
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if __name__ == "__main__":
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uvloop.install()
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asyncio.run(worker())
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