SIENTIAPDE-1084

Refactor connectors_config.py and conditional_filters.py for improved configuration management and data filtering

- Updated PostgreSQL and MLFlow configuration functions to enhance default values and environment variable handling.
- Simplified OPC server configuration logic and improved MongoDB connection string construction.
- Refactored conditional filters to streamline null value checks and empty data validation, removing unnecessary comments and examples for clarity.
- Removed extensive module docstrings to enhance code readability.

laborious/workflows/predictions_batch.py

@@ -29,22 +29,6 @@ class PredictionsBatch():
         2. Configuration Preparation: Sets up prediction parameters and filters
         3. Workflow Delegation: Spawns PredictionProcess child workflow
         4. Error Handling: Implements comprehensive error handling and retry policies
-
-    Example:
-        >>> # Start the workflow
-        >>> await client.start_workflow(
-        ...     PredictionsBatch.run,
-        ...     id="batch_pred_001",
-        ...     task_queue="predictions_batch-queue",
-        ...     input_data={
-        ...         "schedule_name": "hourly_predictions",
-        ...         "model_name": "temperature_model",
-        ...         "model_id": "temp_001",
-        ...         "query": "SELECT * FROM sensor_data WHERE timestamp > NOW() - INTERVAL '1 hour'",
-        ...         "schema": {"timestamp": "datetime", "temperature": "float"},
-        ...         "table_name": "predictions"
-        ...     }
-        ... )
     """
 
     @workflow.run