fix: resolve pointer exhaustion on upload rerun and TypeError float len on PDF export

app.py

@@ -262,29 +262,35 @@ uploaded_file = st.sidebar.file_uploader(
 
 if uploaded_file is not None:
     try:
-        # Read content and compute hash for deduplication logic
+        # getvalue() reads the whole stream without pointer exhaustion across script reruns
-        file_bytes = uploaded_file.read()
+        file_bytes = uploaded_file.getvalue()
         file_hash = compute_hash(file_bytes)
         
-        # Check if already processed in database
+        # Only process if this file hash was not just processed in this session
-        is_processed = db.is_file_processed(file_hash)
+        if st.session_state.get('last_processed_file') != file_hash:
-        
+            # Check historical database logs
-        # Parse CSV
+            is_processed = db.is_file_processed(file_hash)
-        df_parsed = parse_nbu_csv(file_bytes)
-        
-        if not df_parsed.empty:
-            # Perform SQLite UPSERT operation for each parsed job
-            db.save_jobs(df_parsed)
             
-            if not is_processed:
+            # Parse CSV
+            df_parsed = parse_nbu_csv(file_bytes)
+            
+            if not df_parsed.empty:
+                # Perform SQLite UPSERT
+                db.save_jobs(df_parsed)
+                
+                # Mark processed in DB and session state
                 db.mark_file_processed(file_hash, uploaded_file.name)
-                st.toast(f"Relatório '{uploaded_file.name}' importado e sincronizado no banco!", icon="✅")
+                st.session_state['last_processed_file'] = file_hash
+                
+                if not is_processed:
+                    st.toast(f"Relatório '{uploaded_file.name}' importado e sincronizado no banco!", icon="✅")
+                else:
+                    st.toast(f"Dados do relatório '{uploaded_file.name}' atualizados!", icon="🔄")
+                
+                time.sleep(0.6)
+                st.rerun()
             else:
-                st.info(f"O relatório '{uploaded_file.name}' já foi importado anteriormente. Os dados foram atualizados no banco.")
+                st.error("O arquivo fornecido está vazio ou mal formatado.")
-            st.rerun()
-        else:
-            st.error("O arquivo fornecido está vazio ou mal formatado.")
-            
     except Exception as e:
         st.error(f"Erro ao processar arquivo: {str(e)}")
 

report_gen.py

@@ -2,6 +2,18 @@ from fpdf import FPDF
 import datetime
 import hashlib
 
+def clean_str(val, default="N/A"):
+    """
+    Safely casts database records to strings, checking for None and float NaN.
+    """
+    if val is None:
+        return default
+    # check if float NaN
+    if isinstance(val, float) and val != val:
+        return default
+    s = str(val).strip()
+    return s if s else default
+
 class NetBackupMitigationPDF(FPDF):
     """
     Sleek, brand-aligned A4 layout representing the Veritas dark tech design system.
@@ -151,12 +163,12 @@ def generate_mitigation_pdf(jobs_list, filter_name="Consolidated"):
         fill_row = False
         for j in failures_list:
             jid = j['job_id']
-            client = j['client'] or 'N/A'
+            client = clean_str(j['client'])
-            policy = j['policy'] or 'N/A'
+            policy = clean_str(j['policy'])
             code = j['exit_code']
             reex = 'Reexecutado' if j['is_rerun_success'] == 1 else 'Pendente'
-            status = j.get('status', 'Pendente')
+            status = clean_str(j.get('status'), 'Pendente')
-            action = j.get('action_taken', '') or 'Nenhuma nota registrada.'
+            action = clean_str(j.get('action_taken'), 'Nenhuma nota registrada.')
             
             # String safety trims
             if len(client) > 20: client = client[:18] + '..'