Enhance Activities and Prediction Workflows with PI Web API Integration - Updated the Activities class to include API integration, allowing for configuration of PI Web API parameters. - Modified prediction workflows to support output configuration for PI Web API, enabling data writing to the API. - Refactored connectors_config.py by removing unused PostgreSQL and MongoDB configuration functions. - Added tests to validate the new PI Web API functionality in activities and workflows, ensuring robust integration and functionality.
150 lines
5.6 KiB
Python
150 lines
5.6 KiB
Python
from sientia_do.observability.metrics_controller import MetricsController
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from temporalio import workflow
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with workflow.unsafe.imports_passed_through():
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from typing import Any
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from sientia_do.notifications.handlers import CoreNotificationHandler as NotificationHandler
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from sientia_do.observability.logger import Logger
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from laborious.activities.gates import Gates
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from laborious.activities.mlflow import MLFlow
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from laborious.activities.model_metrics import ModelMetrics
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from laborious.activities.opc import OPC
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from laborious.activities.storage import Storage
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from laborious.activities.api import API
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class Activities(Storage, MLFlow, Gates, OPC, ModelMetrics, API):
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"""
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Main activities orchestrator for the Laborious system.
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This class combines functionality from multiple activity classes to provide
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a unified interface for all workflow operations. It manages database connections,
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MLFlow model interactions, data quality validation, and OPC server communications.
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The class implements multiple inheritance to combine specialized functionality:
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- Postgres: Database operations and data persistence
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- MLFlow: Model inference and transformation operations
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- Gates: Data quality validation and filtering mechanisms
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- OPC: Real-time data export to OPC servers
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Attributes:
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postgres_config (dict): PostgreSQL connection configuration
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mlflow_config (dict): MLFlow server configuration
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opc_config (dict): OPC server configuration
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logger (Logger): Logging and observability instance
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notification_handler (NotificationHandler): Notification management instance
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"""
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def __init__(
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self,
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postgres_config: dict[str, Any],
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mlflow_config: dict[str, Any],
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minio_config: dict[str, Any],
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opc_config: dict[str, Any],
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pi_web_api_config: dict[str, Any],
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logger: Logger,
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notification_handler: NotificationHandler,
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):
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"""
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Initialize the Activities orchestrator with all required configurations.
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This constructor initializes all parent classes with their respective
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configurations and sets up the foundation for all activity operations.
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Args:
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postgres_config: PostgreSQL connection configuration dictionary
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Required keys: host, port, user, password, dbname, min_connections, max_connections
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mlflow_config: MLFlow server configuration dictionary
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Required keys: host, port, username, password
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opc_config: OPC server configuration dictionary
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Can contain multiple server configurations
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pi_web_api_config: PI Web API server configuration dictionary
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Required keys: base_url, auth_type, auth_token
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logger: Logger instance for observability and debugging
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notification_handler: Notification handler for alerts and monitoring
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Raises:
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Exception: If any parent class initialization fails
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"""
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metrics_controller = MetricsController(logger=logger)
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# Initialize parent classes
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Storage.__init__(
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self,
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host=postgres_config['host'],
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port=postgres_config['port'],
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user=postgres_config['user'],
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password=postgres_config['password'],
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dbname=postgres_config['dbname'],
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min_connections=postgres_config['min_connections'],
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max_connections=postgres_config['max_connections'],
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minio_config=minio_config,
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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MLFlow.__init__(
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self,
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mlflow_host=mlflow_config['host'],
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mlflow_port=mlflow_config['port'],
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mlflow_username=mlflow_config['username'],
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mlflow_password=mlflow_config['password'],
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minio_config=minio_config,
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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Gates.__init__(
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self,
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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OPC.__init__(
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self,
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opc_servers=opc_config,
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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ModelMetrics.__init__(
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self,
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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API.__init__(
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self,
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base_url=pi_web_api_config['base_url'],
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auth_type=pi_web_api_config['auth_type'],
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auth_token=pi_web_api_config['auth_token'],
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logger=logger,
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notification_handler=notification_handler,
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metrics_controller=metrics_controller,
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)
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async def shutdown(self):
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"""
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Gracefully shutdown all activities and clean up resources.
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This method ensures proper cleanup of all resources including:
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- PostgreSQL connection pools
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- OPC server connections
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- Any other resources that need explicit cleanup
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The method should be called before the application terminates to ensure
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proper resource cleanup and prevent resource leaks.
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"""
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Storage.close(self)
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MLFlow.close(self)
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Gates.close(self)
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await OPC.close(self)
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ModelMetrics.close(self)
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API.close(self) |