3bd44bb12b
Refactor imports and enhance timestamp handling in API and test files - Removed redundant import statements in api.py and prepare_worker.py for cleaner code. - Updated timestamp format in test cases to include timezone information for consistency. - Adjusted test configurations to align with new API structure for improved accuracy in data handling.
73 lines
2.7 KiB
Python
73 lines
2.7 KiB
Python
import os
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import re
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from collections.abc import Sequence
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from typing import Any
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from sientia_do.observability.logger import Logger
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from temporalio.client import Client
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from temporalio.worker import PollerBehaviorAutoscaling, Worker
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parameters = [
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('MAX_CONCURRENT_WORKFLOW_TASKS', '200'),
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('MAX_CONCURRENT_ACTIVITIES', '200'),
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('MAX_CONCURRENT_LOCAL_ACTIVITIES', '200'),
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('MAX_CACHED_WORKFLOWS', '200'),
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('WORKFLOW_POLLER_BEHAVIUR_MINIMUM', '10'),
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('WORKFLOW_POLLER_BEHAVIUR_INITIAL', '100'),
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('WORKFLOW_POLLER_BEHAVIUR_MAXIMUM', '200'),
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('ACTIVITY_POLLER_BEHAVIUR_MINIMUM', '10'),
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('ACTIVITY_POLLER_BEHAVIUR_INITIAL', '100'),
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('ACTIVITY_POLLER_BEHAVIUR_MAXIMUM', '200'),
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]
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def camel_to_kebab(text: str) -> str:
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"""Convert camelCase or PascalCase to kebab-case."""
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text = re.sub('(.)([A-Z][a-z]+)', r'\1-\2', text)
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text = re.sub('([a-z0-9])([A-Z])', r'\1-\2', text)
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return text.lower()
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def prepare_worker(
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main_workflow: type,
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other_workflows: Sequence[type],
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activities: Sequence[Any],
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temporal_client: Client,
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logger: Logger,
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) -> Worker:
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main_workflow_name = main_workflow.__name__.upper()
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queue_name = f'{camel_to_kebab(main_workflow.__name__)}-queue'
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local_workflow_parameters = {}
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for parameter in parameters:
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local_workflow_parameters[parameter[0]] = int(
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os.getenv(main_workflow_name + '_' + parameter[0], parameter[1])
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)
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logger.info(f'Preparing worker for {main_workflow_name} with queue {queue_name}')
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return Worker(
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temporal_client,
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task_queue=queue_name,
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workflows=[main_workflow, *other_workflows],
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activities=[*activities],
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max_concurrent_workflow_tasks=local_workflow_parameters['MAX_CONCURRENT_WORKFLOW_TASKS'],
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max_concurrent_activities=local_workflow_parameters['MAX_CONCURRENT_ACTIVITIES'],
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max_concurrent_local_activities=local_workflow_parameters[
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'MAX_CONCURRENT_LOCAL_ACTIVITIES'
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],
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max_cached_workflows=local_workflow_parameters['MAX_CACHED_WORKFLOWS'],
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workflow_task_poller_behavior=PollerBehaviorAutoscaling(
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minimum=local_workflow_parameters['WORKFLOW_POLLER_BEHAVIUR_MINIMUM'],
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initial=local_workflow_parameters['WORKFLOW_POLLER_BEHAVIUR_INITIAL'],
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maximum=local_workflow_parameters['WORKFLOW_POLLER_BEHAVIUR_MAXIMUM'],
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),
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activity_task_poller_behavior=PollerBehaviorAutoscaling(
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minimum=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_MINIMUM'],
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initial=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_INITIAL'],
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maximum=local_workflow_parameters['ACTIVITY_POLLER_BEHAVIUR_MAXIMUM'],
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),
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)
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