G.O.D Framework

Script: ai_feedback_collector.py - Collecting and Managing User Feedback for AI Systems

Introduction

The ai_feedback_collector.py module is designed to gather, process, and manage user feedback for AI systems within the G.O.D Framework. Feedback is essential for improving AI models through the integration of insights from real-world usage.

By aggregating this feedback, the module empowers data engineers and AI developers to refine models, address biases, and adapt predictions to user expectations in dynamic environments.

Purpose

Key Features

Logic and Implementation

The ai_feedback_collector.py module leverages lightweight data ingestion techniques for collecting user-submitted data. Feedback is scored, categorized, and either sent to a processing pipeline (for models in the active learning stage) or stored for audit and debugging in subsequent iterations.

Below is an example implementation of feedback ingestion and storage using the module:


            class FeedbackCollector:
                """
                A module to collect and store user feedback for AI system outputs.
                """
                def __init__(self, storage_handler):
                    """
                    Initialize the Feedback Collector with the chosen storage interface.
                    :param storage_handler: Object handling feedback storage (e.g., Database, Filesystem).
                    """
                    self.storage_handler = storage_handler

                def collect_feedback(self, user_id, prediction_id, feedback_data):
                    """
                    Collect feedback from a user about a specific AI prediction.
                    :param user_id: The ID of the user providing feedback.
                    :param prediction_id: The ID of the prediction being commented on.
                    :param feedback_data: User feedback as a dictionary (e.g., {"rating": 4, "comments": "Good!"}).
                    :return: Feedback storage status.
                    """
                    feedback_entry = {
                        "user_id": user_id,
                        "prediction_id": prediction_id,
                        "feedback": feedback_data,
                        "timestamp": datetime.now().isoformat()
                    }
                    return self.storage_handler.save(feedback_entry)

                def batch_upload_feedback(self, feedback_list):
                    """
                    Upload multiple feedback entries in a batch.
                    :param feedback_list: A list of feedback dictionaries.
                    :return: Status of batch operations.
                    """
                    results = []
                    for feedback in feedback_list:
                        result = self.storage_handler.save(feedback)
                        results.append(result)
                    return results

            class StorageHandler:
                """
                Simplified interface for managing the storage of feedback entries.
                """
                def __init__(self, database_client):
                    """
                    Initialize with a database client or similar storage interface.
                    :param database_client: A database/session handler (Mocked or actual).
                    """
                    self.database_client = database_client

                def save(self, feedback_entry):
                    """
                    Save individual feedback to the database.
                    :param feedback_entry: Structured feedback dictionary to save.
                    :return: Save status.
                    """
                    # Example implementation uses a mocked database client
                    self.database_client.insert(feedback_entry)
                    return "Saved!"

            if __name__ == "__main__":
                # Example setup
                mock_database_client = MockDatabaseClient()  # Replace with actual DB client
                storage_handler = StorageHandler(mock_database_client)
                feedback_collector = FeedbackCollector(storage_handler)

                # Collect and store feedback
                feedback = {
                    "user_id": "U123",
                    "prediction_id": "P456",
                    "rating": 4,
                    "comments": "The output was relevant, but lacked some details."
                }
                status = feedback_collector.collect_feedback(feedback["user_id"], feedback["prediction_id"], feedback)
                print(status)

Dependencies

This module relies on the following dependencies:

Usage

To incorporate user feedback collection into your system, use the FeedbackCollector class to handle individual or batch feedback submissions. Below are two common use cases: 


            # Single Feedback Collection
            feedback = {"user_id": "User789", "prediction_id": "Pred123", "rating": 5, "comments": "Excellent!"}
            feedback_collector.collect_feedback(feedback["user_id"], feedback["prediction_id"], feedback)

            # Batch Submission
            batch_feedback = [
                {"user_id": "User1", "prediction_id": "P_11", "rating": 3, "comments": "Unreliable."},
                {"user_id": "User2", "prediction_id": "P_12", "rating": 4, "comments": "Good job."}
            ]
            feedback_collector.batch_upload_feedback(batch_feedback)

System Integration

Future Enhancements