Update tools/risk_management_plan.py

tools/risk_management_plan.py

@@ -1,12 +1,14 @@
-# tools/risk_management_plan.py
+#!/usr/bin/env python
+# coding=utf-8
 import datetime
 import re
 from fpdf import FPDF
 from langdetect import detect
 import gradio as gr
+from tools.common import prepend_metadata_questions  # ✅ Reuse metadata questions
 
 # === PDF Export Function ===
-def export_text_to_pdf(text, output_path=None, language="en"):
+def export_text_to_pdf(text, metadata=None, output_path=None, language="en"):
     if output_path is None:
         timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
         output_path = f"risk_management_plan_{timestamp}.pdf"
@@ -15,12 +17,23 @@ def export_text_to_pdf(text, output_path=None, language="en"):
     pdf.add_page()
     pdf.set_auto_page_break(auto=True, margin=15)
 
+    # Title
     pdf.set_font("Arial", 'B', 16)
     pdf.set_text_color(0, 51, 102)
     title = "Risk Management Plan - AI Act (Annex VII)" if language == "en" else "Plan de Gestion des Risques - AI Act"
     pdf.cell(0, 15, title, ln=True, align='C')
     pdf.ln(10)
 
+    # Metadata block
+    if metadata:
+        pdf.set_font("Arial", '', 12)
+        pdf.set_text_color(90, 90, 90)
+        pdf.multi_cell(0, 10, f"Organization: {metadata.get('organization', 'N/A')}")
+        pdf.multi_cell(0, 10, f"Completed by: {metadata.get('completed_by', 'N/A')} ({metadata.get('role', 'N/A')})")
+        pdf.multi_cell(0, 10, f"Timestamp: {metadata.get('timestamp', 'N/A')}")
+        pdf.ln(5)
+
+    # Body
     pdf.set_font("Arial", '', 12)
     pdf.set_text_color(0, 0, 0)
     for line in text.strip().split('\n'):
@@ -46,11 +59,12 @@ def export_text_to_pdf(text, output_path=None, language="en"):
             pdf.ln(5)
         else:
             pdf.multi_cell(0, 10, line)
+
     pdf.output(output_path)
     return output_path
 
-# === Questions ===
-QUESTIONS = [
+# === Core Questions ===
+BASE_QUESTIONS = [
     ("system_name", "What is the name of the AI system?"),
     ("risk_identification", "How are risks identified throughout development and use?"),
     ("risk_assessment", "Describe your risk assessment methodology."),
@@ -61,6 +75,8 @@ QUESTIONS = [
     ("responsibility", "Who is responsible for risk management actions?")
 ]
 
+QUESTIONS = prepend_metadata_questions(BASE_QUESTIONS)
+
 def get_questions():
     return QUESTIONS
 
@@ -80,12 +96,21 @@ def run_tool():
             state["step"] += 1
             return next_question, state, None
 
+        # Final document content
         content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])
         detected_lang = detect(content)
-        pdf_path = export_text_to_pdf(content, language=detected_lang)
+
+        metadata = {
+            "organization": answers.get("organization_name", "N/A"),
+            "completed_by": answers.get("user_name", "N/A"),
+            "role": answers.get("user_role", "N/A"),
+            "timestamp": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        }
+
+        pdf_path = export_text_to_pdf(content, metadata=metadata, language=detected_lang)
         return "✅ Risk Management Plan completed. Download your PDF below.", {"done": True}, pdf_path
 
-    with gr.Blocks() as demo:
+    with gr.Blocks(title="Risk Management Tool") as demo:
         chatbot = gr.Chatbot(label="🛡️ Risk Management Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")
         msg = gr.Textbox(label="Your answer")
         state_var = gr.State(state)