Update tools/human_oversight_strategy.py

tools/human_oversight_strategy.py

@@ -1,10 +1,15 @@
-# tools/human_oversight_strategy.py
-import datetime, re
+#!/usr/bin/env python
+# coding=utf-8
+import datetime
+import re
 from fpdf import FPDF
 from langdetect import detect
 import gradio as gr
 
-def export_text_to_pdf(text, output_path=None, language="en"):
+from tools.common import prepend_metadata_questions  # ✅ Import shared metadata logic
+
+# === PDF Export Function ===
+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"human_oversight_strategy_{timestamp}.pdf"
@@ -12,15 +17,29 @@ def export_text_to_pdf(text, output_path=None, language="en"):
     pdf = FPDF()
     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 = "Human Oversight Strategy (Art. 14)" if language == "en" else "Stratégie de Supervision Humaine"
     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)
+
+    # Content body
     pdf.set_font("Arial", '', 12)
     pdf.set_text_color(0, 0, 0)
 
     for line in text.strip().split('\n'):
+        line = line.strip()
         if line.startswith("## "):
             section = line.replace("## ", "").strip()
             pdf.set_font("Arial", 'B', 13)
@@ -39,10 +58,12 @@ def export_text_to_pdf(text, output_path=None, language="en"):
                 pdf.multi_cell(0, 10, value)
         else:
             pdf.multi_cell(0, 10, line)
+
     pdf.output(output_path)
     return output_path
 
-QUESTIONS = [
+# === Base Questions ===
+BASE_QUESTIONS = [
     ("system_name", "What is the name of the AI system?"),
     ("oversight_roles", "Who is responsible for human oversight?"),
     ("oversight_tasks", "What are their oversight responsibilities?"),
@@ -53,6 +74,8 @@ QUESTIONS = [
     ("escalation", "What is the escalation protocol for risks?")
 ]
 
+QUESTIONS = prepend_metadata_questions(BASE_QUESTIONS)
+
 def get_questions():
     return QUESTIONS
 
@@ -72,11 +95,23 @@ def run_tool():
 
         content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])
         lang = detect(content)
-        pdf_path = export_text_to_pdf(content, language=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=lang)
         return "✅ Strategy ready below!", {"done": True}, pdf_path
 
-    with gr.Blocks() as demo:
-        chatbot = gr.Chatbot(label="👁️ Human Oversight Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")
+    with gr.Blocks(title="Human Oversight Strategy Tool") as demo:
+        chatbot = gr.Chatbot(
+            label="👁️ Human Oversight 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")