SIENTIAPDE-1478

Refactor Activities and API Integration for PI Web API

- Reintroduced the API import in the Activities class for proper integration.
- Cleaned up whitespace and formatting in the API class and related tests for improved readability.
- Updated test cases to ensure consistent formatting in error messages and configuration structures for PI Web API.
- Enhanced connectors_config.py with additional whitespace for better organization.

laborious/activities/api.py

@@ -5,18 +5,17 @@ with workflow.unsafe.imports_passed_through():
     from typing import Any
 
     from pandas import DataFrame
-
     from sientia_do.notifications.handlers import NotificationHandler
     from sientia_do.notifications.models import NotificationLevel
     from sientia_do.observability.logger import Logger
     from sientia_do.observability.metrics_controller import MetricsController
     from sientia_do.observability.sientia_monitoring import SientiaMonitoring
-    from sientia_do.temporal.constants import DATETIME_FORMAT_WITH_TZ
     from sientia_do.repository.pi_web_api_client import PIWebAPIClient
 
 
 PI_WEB_API_PREDICTION_ERROR_CONFIDENCE = 13
 
+
 class API(SientiaMonitoring):
     """
     PI Web API operations for writing data to PI Web API.
@@ -78,7 +77,7 @@ class API(SientiaMonitoring):
         metadata = input_data['metadata']
         data = DataFrame(input_data['data'])
         pi_web_api_output_config = input_data['pi_web_api_output_config']
-        
+
         self.info('Writing data to PI Web API...', metadata)
 
         endpoint = pi_web_api_output_config['endpoint']
@@ -92,7 +91,6 @@ class API(SientiaMonitoring):
         confidence_value = data.head(1)['prediction_confidence'].values[0]
 
         try:
-
             await self.pi_web_api_client.write_value(
                 web_ids=prediction_tags,
                 value={
@@ -138,5 +136,5 @@ class API(SientiaMonitoring):
                 level=NotificationLevel.ERROR,
                 attachment_content=trace,
             )
-        
-        return data.to_dict()
+
+        return data.to_dict()