49fa60c66f
Enhance documentation across multiple modules with detailed parameter descriptions and usage examples
27 lines
802 B
Python
27 lines
802 B
Python
"""
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Laborious Temporal Workflows Retry Policies
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This module defines retry policies for Temporal workflows in the Laborious system.
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These policies ensure reliable execution of ML prediction workflows by automatically
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retrying failed operations with exponential backoff.
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The retry_policy variable configures:
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- Initial retry interval of 1 second
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- Exponential backoff coefficient of 2.0
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- Maximum retry interval capped at 1 minute
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- Maximum of 1 retry attempt
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This configuration helps prevent cascading failures while maintaining system responsiveness.
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"""
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from datetime import timedelta
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from temporalio.common import RetryPolicy
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retry_policy = RetryPolicy(
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initial_interval=timedelta(seconds=1),
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backoff_coefficient=2.0,
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maximum_interval=timedelta(minutes=1),
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maximum_attempts=1
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)
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