mirror of
https://github.com/langgenius/dify-ee-helm-chart-values-generator.git
synced 2026-07-01 20:14:02 -04:00
Petrus Han
7ba7a2e601
* chore: upgrade tj-actions/changed-files to v46.0.1 * Add feature-based architecture for version-specific config Introduces a feature registry and auto-discovery system under modules/features/ to manage version-specific configuration logic. Adds base classes and decorators for feature registration, semantic version comparison, and applies features in global, infrastructure, plugins, and services modules. Implements features for trigger worker, plugin metrics, and external Prometheus (3.7.0+). Updates i18n translations and documentation to reflect the new architecture and configuration options. Includes tests for feature registration, version parsing, and applicability.
110 lines
3.9 KiB
Python
110 lines
3.9 KiB
Python
"""
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Trigger Worker Feature - Available from Chart version 3.7.0+
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This feature adds the triggerWorker service configuration for workflow trigger functionality.
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The triggerWorker is a dedicated Celery worker for handling workflow triggers.
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"""
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from .base import Feature, register_feature
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from utils import print_section, print_info, print_success, prompt, prompt_yes_no
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from i18n import get_translator
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@register_feature(
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min_version="3.7.0",
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module="services",
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name="Trigger Worker Service",
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description="Configure triggerWorker service for workflow trigger processing"
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)
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class TriggerWorkerFeature(Feature):
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"""
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Configure triggerWorker service (3.7.0+)
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This service is used for:
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- Processing workflow webhook triggers
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- Handling scheduled workflow executions
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- Managing trigger-based workflow invocations
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"""
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def configure(self, generator) -> None:
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"""Configure trigger worker service settings"""
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_t = get_translator()
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print_section(_t('trigger_worker_config'))
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print_info(_t('trigger_worker_desc'))
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# Ensure triggerWorker configuration exists
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if 'triggerWorker' not in generator.values:
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generator.values['triggerWorker'] = {}
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# Check if user wants to configure trigger worker
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if not prompt_yes_no(_t('config_trigger_worker'), default=False):
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print_info(_t('using_default_trigger_worker'))
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return
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# Configure replicas
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replicas_input = prompt(
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_t('trigger_worker_replicas'),
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default=str(generator.values.get('triggerWorker', {}).get('replicas', 1)),
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required=False
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)
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try:
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replicas = int(replicas_input)
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if replicas >= 1:
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generator.values['triggerWorker']['replicas'] = replicas
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except ValueError:
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pass
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# Configure celery worker amount
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celery_input = prompt(
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_t('trigger_worker_celery_amount'),
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default=str(generator.values.get('triggerWorker', {}).get('celeryWorkerAmount', 1)),
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required=False
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)
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try:
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celery_amount = int(celery_input)
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if celery_amount >= 1:
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generator.values['triggerWorker']['celeryWorkerAmount'] = celery_amount
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except ValueError:
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pass
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# Configure code execution limits
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print_info(_t('trigger_worker_code_limits_desc'))
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if prompt_yes_no(_t('config_trigger_worker_code_limits'), default=False):
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# Ensure code section exists
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if 'code' not in generator.values['triggerWorker']:
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generator.values['triggerWorker']['code'] = {}
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max_string = prompt(
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_t('max_string_array_length'),
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default=str(generator.values.get('triggerWorker', {}).get('code', {}).get('maxStringArrayLength', 500)),
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required=False
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)
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try:
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generator.values['triggerWorker']['code']['maxStringArrayLength'] = int(max_string)
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except ValueError:
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pass
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max_object = prompt(
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_t('max_object_array_length'),
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default=str(generator.values.get('triggerWorker', {}).get('code', {}).get('maxObjectArrayLength', 500)),
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required=False
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)
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try:
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generator.values['triggerWorker']['code']['maxObjectArrayLength'] = int(max_object)
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except ValueError:
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pass
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max_number = prompt(
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_t('max_number_array_length'),
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default=str(generator.values.get('triggerWorker', {}).get('code', {}).get('maxNumberArrayLength', 500)),
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required=False
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)
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try:
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generator.values['triggerWorker']['code']['maxNumberArrayLength'] = int(max_number)
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except ValueError:
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pass
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print_success(_t('trigger_worker_configured'))
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