Add HeadyLens module for system transparency

HeadySystems_v13/apps/heady_lens/__init__.py

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+"""
+HeadyLens: Transparency and Explanation Module.
+"""
+from .lens import HeadyLens
+
+__all__ = ["HeadyLens"]

HeadySystems_v13/apps/heady_lens/lens.py

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+"""
+HeadyLens Core Implementation.
+
+This module provides the core functionality for HeadyLens, a tool designed
+to ensure system transparency by capturing and reporting explanations for
+system actions and decisions.
+"""
+
+from typing import List, Dict, Any
+from datetime import datetime
+
+class HeadyLens:
+    """
+    Core class for handling transparency and explanations.
+
+    Attributes:
+        explanations (List[Dict[str, Any]]): A list of captured explanations.
+    """
+
+    def __init__(self):
+        """
+        Initializes a new instance of HeadyLens.
+        """
+        self.explanations: List[Dict[str, Any]] = []
+
+    def capture(self, context: str, explanation: str) -> None:
+        """
+        Captures an explanation for a specific context.
+
+        Args:
+            context (str): The context or component name where the action occurred.
+            explanation (str): A clear description of what happened and why.
+        """
+        timestamp = datetime.now().isoformat()
+        entry = {
+            "timestamp": timestamp,
+            "context": context,
+            "explanation": explanation
+        }
+        self.explanations.append(entry)
+        # In a real system, this might also log to a secure audit trail.
+
+    def report(self) -> List[Dict[str, Any]]:
+        """
+        Retrieves all captured explanations.
+
+        Returns:
+            List[Dict[str, Any]]: A list of explanation entries.
+        """
+        return self.explanations
+
+    def clear(self) -> None:
+        """
+        Clears the current session's explanations.
+        """
+        self.explanations = []

HeadySystems_v13/scripts/demo_transparency.py

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+#!/usr/bin/env python3
+"""
+Demonstration of System Transparency using HeadyLens.
+
+This script simulates a system operation and uses HeadyLens to provide
+transparent explanations of the process.
+"""
+
+import sys
+import os
+import json
+
+# Add the parent directory (HeadySystems_v13) to sys.path to allow imports from apps
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from apps.heady_lens import HeadyLens
+
+def perform_sensitive_operation(lens: HeadyLens, user_id: str):
+    """
+    Simulates a sensitive operation with transparency.
+    """
+    lens.capture("Authentication", f"Verifying identity for user {user_id}.")
+
+    # Simulate auth check
+    is_authenticated = True
+    lens.capture("Authentication", "User identity verified via cryptographic token.")
+
+    if is_authenticated:
+        lens.capture("Authorization", "Checking permissions for 'access_sensitive_data'.")
+        # Simulate permission check
+        has_permission = True
+        lens.capture("Authorization", "Permission granted based on role 'admin'.")
+
+        if has_permission:
+            lens.capture("DataAccess", "Retrieving sensitive record ID: 12345.")
+            # Simulate data access
+            lens.capture("DataAccess", "Data retrieved successfully and encrypted for transport.")
+
+    return "Operation Complete"
+
+def main():
+    print("Initializing HeadyLens for Transparency Demonstration...")
+    lens = HeadyLens()
+
+    user_id = "user_007"
+    print(f"Starting operation for {user_id}...\n")
+
+    perform_sensitive_operation(lens, user_id)
+
+    print("Operation finished. Generating Transparency Report:\n")
+    report = lens.report()
+
+    print(json.dumps(report, indent=2))
+
+    print(f"\nTotal explanations captured: {len(report)}")
+
+if __name__ == "__main__":
+    main()