Update tools/data_governance_record.py

tools/data_governance_record.py

@@ -7,7 +7,7 @@ from langdetect import detect
 import gradio as gr
 
 # === PDF Export Function ===
-def export_text_to_pdf(text, metadata, 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"data_governance_record_{timestamp}.pdf"
@@ -16,23 +16,25 @@ def export_text_to_pdf(text, metadata, 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 = "Data Governance and Quality Record" if language == "en" else "Dossier de Gouvernance et Qualité des Données"
     pdf.cell(0, 15, title, ln=True, align='C')
     pdf.ln(10)
 
-    # Metadata below the title
-    pdf.set_font("Arial", '', 12)
-    pdf.set_text_color(90, 90, 90)
-    pdf.multi_cell(0, 10, f"Completed by: {metadata.get('completed_by', 'N/A')}")
-    pdf.multi_cell(0, 10, f"Role: {metadata.get('role', 'N/A')}")
-    pdf.multi_cell(0, 10, f"Date: {metadata.get('timestamp', 'N/A')}")
-    pdf.ln(5)
+    # Metadata
+    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'):
         line = line.strip()
         if line.startswith("## "):
@@ -62,6 +64,7 @@ def export_text_to_pdf(text, metadata, output_path=None, language="en"):
 
 # === Questions ===
 QUESTIONS = [
+    ("organization", "What is the name of your organization?"),
     ("completed_by", "What is your full name?"),
     ("role", "What is your role in the organization?"),
     ("dataset_description", "Please describe the dataset(s) used."),
@@ -79,7 +82,7 @@ QUESTIONS = [
 def get_questions():
     return QUESTIONS
 
-# === Standalone Execution ===
+# === Run Tool ===
 def run_tool():
     state = {"step": 0, "answers": {}}
 
@@ -96,11 +99,14 @@ def run_tool():
             state["step"] += 1
             return next_q, state, None
 
-        content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS[2:]])
+        # Build content and metadata
+        content = "\n".join([f"- **{label}**: {answers.get(key, '')}" for key, label in QUESTIONS])
         detected_lang = detect(content)
+
         metadata = {
-            "completed_by": answers.get("completed_by", ""),
-            "role": answers.get("role", ""),
+            "organization": answers.get("organization", "N/A"),
+            "completed_by": answers.get("completed_by", "N/A"),
+            "role": answers.get("role", "N/A"),
             "timestamp": datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
         }
 
@@ -108,7 +114,11 @@ def run_tool():
         return "✅ Documentation complete. Download below.", {"done": True}, pdf_path
 
     with gr.Blocks(title="Data Governance Tool") as demo:
-        chatbot = gr.Chatbot(label="📊 Data Governance Assistant", value=[{"role": "assistant", "content": QUESTIONS[0][1]}], type="messages")
+        chatbot = gr.Chatbot(
+            label="📊 Data Governance 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")