Create dora_data_integrity_strategy.py

tools/dora_data_integrity_strategy.py

@@ -18,7 +18,7 @@ def export_text_to_pdf(text, metadata=None, output_path=None, language="en"):
 
     pdf.set_font("Arial", 'B', 16)
     pdf.set_text_color(0, 51, 102)
-    title = "Data Integrity Strategy - DORA (Optional)" if language == "en" else "Stratégie d'intégrité des données - DORA"
+    title = "Data Integrity Strategy - DORA (Optional)" if language == "en" else "Stratégie d'Intégrité des Données - DORA"
     pdf.cell(0, 15, title, ln=True, align='C')
     pdf.ln(10)
 
@@ -60,12 +60,13 @@ def export_text_to_pdf(text, metadata=None, output_path=None, language="en"):
 
 # === Questions ===
 QUESTIONS = prepend_metadata_questions([
-    ("data_validation", "How is data validation performed to ensure accuracy and completeness?"),
-    ("integrity_controls", "What technical controls are in place to protect data integrity?"),
-    ("tamper_detection", "How is tampering with data detected and mitigated?"),
-    ("logging_tracking", "Are changes to data logged and tracked? How?"),
-    ("periodic_reviews", "Are regular data integrity audits or reviews conducted?"),
-    ("incident_response", "What is the response process for detected data integrity issues?")
+    ("data_validation_methods", "What methods are in place to validate data integrity?"),
+    ("tamper_detection", "How is data tampering detected?"),
+    ("correction_mechanisms", "What correction mechanisms are in place for data errors?"),
+    ("backup_integrity", "How is backup integrity ensured?"),
+    ("access_control", "What access controls are in place to protect data integrity?"),
+    ("logging_procedures", "How is data integrity logging and auditing managed?"),
+    ("policy_review", "How often is the data integrity policy reviewed and updated?")
 ])
 
 def get_questions():
@@ -97,10 +98,10 @@ def run_tool():
         content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])
         lang = detect(content if len(content.strip()) > 3 else "Placeholder content")
         pdf_path = export_text_to_pdf(content, metadata=metadata, language=lang)
-        return "✅ Strategy documented. Download below.", {"done": True}, pdf_path
+        return "✅ Data Integrity Strategy complete. Download your file below.", {"done": True}, pdf_path
 
     with gr.Blocks(title="DORA Data Integrity Strategy") as demo:
-        chatbot = gr.Chatbot(label="📊 Data Integrity Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")
+        chatbot = gr.Chatbot(label="🛡️ Data Integrity Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")
         msg = gr.Textbox(label="Your answer")
         state_var = gr.State(state)
         file_output = gr.File(label="Download PDF")