feat: implement PBKDF2 authentication, first-run setup, and role-based guards

app.py

@@ -9,7 +9,7 @@ import time
 import io
 import os
 
-# Initialize database
+# Initialize database schemas
 db.init_db()
 
 # Set up page configurations
@@ -80,7 +80,7 @@ custom_css = """
         border-radius: 8px;
     }
     
-    /* Buttons with neon cyan gradient */
+    /* Buttons styling */
     div.stButton > button, div.stDownloadButton > button {
         background: linear-gradient(135deg, #0052CC 0%, #00D2FF 100%) !important;
         color: #FFFFFF !important;
@@ -93,6 +93,7 @@ custom_css = """
         text-transform: uppercase;
         font-size: 0.85rem;
         letter-spacing: 0.05em;
+        width: 100%;
     }
     div.stButton > button:hover, div.stDownloadButton > button:hover {
         background: linear-gradient(135deg, #00D2FF 0%, #0052CC 100%) !important;
@@ -100,6 +101,29 @@ custom_css = """
         box-shadow: 0 6px 22px rgba(0, 210, 255, 0.5) !important;
     }
     
+    /* Badges */
+    .badge {
+        display: inline-block;
+        padding: 0.25em 0.6em;
+        font-size: 80%;
+        font-weight: 700;
+        line-height: 1;
+        text-align: center;
+        white-space: nowrap;
+        vertical-align: baseline;
+        border-radius: 6px;
+    }
+    .badge-success {
+        background-color: rgba(0, 200, 83, 0.2);
+        color: #00C853;
+        border: 1px solid #00C853;
+    }
+    .badge-warning {
+        background-color: rgba(255, 171, 0, 0.2);
+        color: #FFAB00;
+        border: 1px solid #FFAB00;
+    }
+    
     /* Tabs selector customization */
     button[data-baseweb="tab"] {
         color: #94A3B8 !important;
@@ -126,11 +150,98 @@ custom_css = """
 """
 st.markdown(custom_css, unsafe_allow_html=True)
 
-# Sidebar Design
+# Initialize Authentication Session States
-st.sidebar.markdown("<h1 style='text-align: center; margin-bottom: 10px;'>NBU Insights</h1>", unsafe_allow_html=True)
+if 'logged_in' not in st.session_state:
-st.sidebar.markdown("<p style='text-align: center; color: #94A3B8; font-size: 0.9rem; margin-bottom: 30px;'>Docker Cloud Dashboard</p>", unsafe_allow_html=True)
+    st.session_state['logged_in'] = False
+if 'username' not in st.session_state:
+    st.session_state['username'] = ""
+if 'role' not in st.session_state:
+    st.session_state['role'] = ""
 
-# Global view selector
+# --- ROUTING ENGINE ---
+
+# Scenario 1: First Run Bootstrap (No Administrator exists)
+if not db.has_admin_user():
+    st.markdown("<div style='text-align: center; margin-top: 50px;'>", unsafe_allow_html=True)
+    st.markdown("<h1>⚙️ Configuração Inicial do Sistema</h1>", unsafe_allow_html=True)
+    st.markdown("<p style='color: #94A3B8; font-size: 1.1rem;'>Nenhum usuário administrador encontrado no banco de dados. Crie o Administrador Principal para continuar.</p>", unsafe_allow_html=True)
+    st.markdown("</div>", unsafe_allow_html=True)
+    
+    col_boot1, col_boot2, col_boot3 = st.columns([1, 1.3, 1])
+    with col_boot2:
+        with st.form("bootstrap_form"):
+            admin_user = st.text_input("Usuário Administrador:", placeholder="Ex: admin")
+            admin_pass = st.text_input("Senha do Administrador:", type="password", placeholder="Digite uma senha robusta")
+            admin_pass_confirm = st.text_input("Confirme a Senha:", type="password", placeholder="Confirme a senha")
+            submit_bootstrap = st.form_submit_button("Criar Administrador Principal")
+            
+            if submit_bootstrap:
+                if not admin_user.strip():
+                    st.error("O nome de usuário não pode estar em branco.")
+                elif len(admin_pass) < 6:
+                    st.error("A senha deve conter pelo menos 6 caracteres.")
+                elif admin_pass != admin_pass_confirm:
+                    st.error("As senhas informadas não coincidem.")
+                else:
+                    success = db.create_user(admin_user, admin_pass, role='admin')
+                    if success:
+                        st.success("Administrador Principal cadastrado com sucesso! Recarregando...")
+                        time.sleep(1.5)
+                        st.rerun()
+                    else:
+                        st.error("Erro ao cadastrar. O usuário já existe ou ocorreu um erro de persistência.")
+    st.stop()
+
+# Scenario 2: Unauthenticated User (Login Gate)
+if not st.session_state['logged_in']:
+    col_login1, col_login2, col_login3 = st.columns([1, 1.2, 1])
+    with col_login2:
+        st.markdown("<div style='text-align: center; margin-top: 80px;'>", unsafe_allow_html=True)
+        st.markdown("<h1>⚡ NetBackup Log Insights</h1>", unsafe_allow_html=True)
+        st.markdown("<p style='color: #94A3B8;'>Faça login para gerenciar as rotinas de backup e mitigações</p>", unsafe_allow_html=True)
+        st.markdown("</div>", unsafe_allow_html=True)
+        
+        with st.form("login_form"):
+            login_user = st.text_input("Usuário:", placeholder="Nome do usuário")
+            login_pass = st.text_input("Senha:", type="password", placeholder="Senha de acesso")
+            submit_login = st.form_submit_button("Entrar")
+            
+            if submit_login:
+                user_record = db.get_user(login_user)
+                if user_record and db.verify_password(user_record['password_hash'], login_pass):
+                    st.session_state['logged_in'] = True
+                    st.session_state['username'] = user_record['username']
+                    st.session_state['role'] = user_record['role']
+                    st.toast(f"Bem-vindo, {user_record['username']}!", icon="👋")
+                    time.sleep(0.5)
+                    st.rerun()
+                else:
+                    st.error("Usuário ou senha inválidos.")
+    st.stop()
+
+# --- APP LAYOUT (Authenticated Scope) ---
+
+# Sidebar Profile Header
+st.sidebar.markdown(f"""
+<div style='background-color: #1E2640; padding: 15px; border-radius: 12px; border: 1px solid #2E3A5F; margin-bottom: 25px; text-align: center;'>
+    <p style='margin: 0; font-size: 0.8rem; color: #94A3B8; text-transform: uppercase; letter-spacing: 0.05em;'>Técnico Autenticado</p>
+    <h3 style='margin: 5px 0; color: #FFFFFF;'>{st.session_state['username'].upper()}</h3>
+    <span class='badge {"badge-success" if st.session_state["role"] == "admin" else "badge-warning"}'>
+        {st.session_state["role"].upper()}
+    </span>
+</div>
+""", unsafe_allow_html=True)
+
+# Logout Button
+if st.sidebar.button("Encerrar Sessão (Sair)"):
+    st.session_state['logged_in'] = False
+    st.session_state['username'] = ""
+    st.session_state['role'] = ""
+    st.rerun()
+
+st.sidebar.markdown("---")
+
+# Global zone selector
 st.sidebar.subheader("Zone Selector")
 server_filter = st.sidebar.selectbox(
     "Selecione o escopo:",
@@ -141,7 +252,7 @@ server_filter = st.sidebar.selectbox(
     ]
 )
 
-# File Ingestion
+# File Ingestion Panel
 st.sidebar.subheader("Log Ingestion")
 uploaded_file = st.sidebar.file_uploader(
     "Importar relatório NetBackup (CSV):",
@@ -170,19 +281,41 @@ if uploaded_file is not None:
                 st.toast(f"Relatório '{uploaded_file.name}' importado e sincronizado no banco!", icon="✅")
             else:
                 st.info(f"O relatório '{uploaded_file.name}' já foi importado anteriormente. Os dados foram atualizados no banco.")
+            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)}")
 
-# Demo data load button
+# Query historical database records
 db_jobs = db.get_historical_jobs()
+df = pd.DataFrame(db_jobs)
+df_filtered = pd.DataFrame()
 
-if not db_jobs:
+if not df.empty:
-    st.sidebar.markdown("---")
+    df['start_time'] = pd.to_datetime(df['start_time'])
-    st.sidebar.write("Sem registros no banco. Deseja carregar dados simulados?")
+    df['finish_time'] = pd.to_datetime(df['finish_time'])
-    if st.sidebar.button("Carregar Dados de Demonstração"):
+    
+    # Filter by Cloud Infrastructure Zone
+    if server_filter == "Azure Infrastructure Zone":
+        df_filtered = df[df['primary_server'] == 'srvpalcvnbu01.elo.corp']
+    elif server_filter == "OCI Infrastructure Zone":
+        df_filtered = df[df['primary_server'] == 'srvpalcocinbupri01.elo.corp']
+    else:
+        df_filtered = df
+
+# Application Title
+st.markdown("<h1 style='margin-bottom: 25px;'>NetBackup Log Insights & Mitigation Tracker</h1>", unsafe_allow_html=True)
+
+if df.empty:
+    # Beautiful empty state welcome page
+    st.info("👋 Banco de dados vazio. Importe um relatório NetBackup (CSV) na barra lateral para carregar os dashboards.")
+    
+    # Demo data loader for Admins
+    if st.session_state['role'] == 'admin':
+        st.write("Deseja testar com dados simulados?")
+        if st.button("Carregar Dados de Demonstração"):
             demo_data = """###################### TABLE (Job Summary)####################
 Job ID,Client,Policy,Type,Exit Code,Start Time,Finish Time,Duration,MBytes,# of Files,Primary Server,Media Server
 10001,srv-web-01,Prod_Web_Apps,Backup,0,2026-07-13 01:00:00,2026-07-13 01:15:23,00:15:23,"1,540.50",45612,srvpalcvnbu01.elo.corp,mediasrv-01
@@ -201,67 +334,23 @@ Job ID,Client,Policy,Type,Exit Code,Start Time,Finish Time,Duration,MBytes,# of
             df_parsed = parse_nbu_csv(demo_data)
             db.save_jobs(df_parsed)
             st.rerun()
-
-# Apply logic and query historical database records
-db_jobs = db.get_historical_jobs()
-df = pd.DataFrame(db_jobs)
-df_filtered = pd.DataFrame()
-
-if not df.empty:
-    # Set proper datetime types for sorting/filtering
-    df['start_time'] = pd.to_datetime(df['start_time'])
-    df['finish_time'] = pd.to_datetime(df['finish_time'])
-    
-    # Filter by Cloud Infrastructure Zone
-    if server_filter == "Azure Infrastructure Zone":
-        df_filtered = df[df['primary_server'] == 'srvpalcvnbu01.elo.corp']
-    elif server_filter == "OCI Infrastructure Zone":
-        df_filtered = df[df['primary_server'] == 'srvpalcocinbupri01.elo.corp']
 else:
-        df_filtered = df
+    # Setup Tabs (Include Admin Dashboard Tab only for role == 'admin')
+    tab_labels = ["📊 Dashboard de Performance", "📋 Tabela de Execuções", "🛠️ Plano de Ações & Mitigações"]
+    if st.session_state['role'] == 'admin':
+        tab_labels.append("⚙️ Painel de Administração")
         
-# Application Title
+    tabs = st.tabs(tab_labels)
-st.markdown("<h1 style='margin-bottom: 25px;'>NetBackup Log Insights & Mitigation Tracker</h1>", unsafe_allow_html=True)
-
-if df.empty:
-    # Beautiful empty state welcome page
-    st.info("👋 Bem-vindo! Carregue um arquivo de log do NetBackup (CSV) na barra lateral esquerda ou clique em 'Carregar Dados de Demonstração' para preencher o banco de dados persistente.")
-    
-    col1, col2 = st.columns(2)
-    with col1:
-        st.markdown("""
-        ### Arquitetura de Containers (v2.0)
-        * 🐳 **VPS Deploy Ready:** Totalmente empacotado para execução em Docker e orquestração Docker Compose.
-        * 💾 **Persistência SQLite:** Banco persistido no volume `/app/data/nbu_insights.db`.
-        * 🔄 **UPSERT Engine:** Ingestão incremental garantida baseado na chave `(Job ID)`.
-        * 📊 **Deduplicação Inteligente:** Identifica falhas transitórias com correções automáticas em reexecuções de logs posteriores.
-        """)
-    with col2:
-        st.markdown("""
-        ### Relatórios Mitigados em PDF
-        * 📄 **PDF Export Engine:** Integração com biblioteca `fpdf2`.
-        * 📥 **Exportação Rápida:** Gera relatórios em A4 contendo resumos operacionais e o histórico completo de notas técnicas inseridas por engenheiros.
-        """)
-else:
-    # Tabs layout
-    tab_dashboard, tab_table, tab_mitigation = st.tabs([
-        "📊 Dashboard de Performance", 
-        "📋 Tabela de Execuções", 
-        "🛠️ Plano de Ações & Mitigações"
-    ])
     
     # Tab 1: Dashboard
-    with tab_dashboard:
+    with tabs[0]:
-        # Calculate dashboard metrics
         total_jobs = len(df_filtered)
         success_jobs = len(df_filtered[df_filtered['exit_code'] <= 1])
         success_rate = (success_jobs / total_jobs * 100) if total_jobs > 0 else 0.0
         
-        # Space savings
+        # Calculate MSDP volumes
         total_pre_dedup = df_filtered['mbytes'].sum()
-        
         import hashlib
-        # Calculate simulated post-deduplicated sizes
         total_post_dedup = 0.0
         for _, r in df_filtered.iterrows():
             total_post_dedup += r['mbytes'] * (0.15 + (int(hashlib.md5(str(r['job_id']).encode()).hexdigest(), 16) % 11) / 100.0)
@@ -269,14 +358,13 @@ else:
         dedup_ratio = (total_pre_dedup / total_post_dedup) if total_post_dedup > 0.0 else 1.0
         space_saved = ((1 - (total_post_dedup / total_pre_dedup)) * 100) if total_pre_dedup > 0.0 else 0.0
         
-        # Active failures (Exit Code > 1 AND is_rerun_success == 0 AND status != 'Resolvido')
         active_failures = len(df_filtered[
             (df_filtered['exit_code'] > 1) & 
             (df_filtered['is_rerun_success'] == 0) & 
             (df_filtered['status'] != 'Resolvido')
         ])
         
-        # Render top KPI metrics row
+        # Render Metrics Cards
         col_metric1, col_metric2, col_metric3 = st.columns(3)
         with col_metric1:
             st.metric(
@@ -299,7 +387,7 @@ else:
                 delta_color="inverse" if active_failures > 0 else "normal"
             )
             
-        # PDF Generation action button
+        # PDF Mitigation Report action
         st.markdown("---")
         pdf_bytes = rg.generate_mitigation_pdf(df_filtered.to_dict('records'), server_filter)
         st.download_button(
@@ -309,31 +397,28 @@ else:
             mime="application/pdf"
         )
         
-        # Distribution charts
+        # Visual Charts
         st.markdown("<h3 style='margin-top:25px;'>Visualizações Operacionais</h3>", unsafe_allow_html=True)
         col_chart1, col_chart2 = st.columns(2)
         
         with col_chart1:
-            # Rerun / Fail categories pie chart
+            # Distribution of Jobs pie chart
             categories = []
             counts = []
             colors = []
             
-            # Successes
             suc_count = len(df_filtered[df_filtered['exit_code'] <= 1])
             if suc_count > 0:
                 categories.append("Sucesso (Exit 0/1)")
                 counts.append(suc_count)
                 colors.append("#00C853")
                 
-            # Failures Reexecuted
             reex_count = len(df_filtered[(df_filtered['exit_code'] > 1) & (df_filtered['is_rerun_success'] == 1)])
             if reex_count > 0:
                 categories.append("Falha Reexecutada")
                 counts.append(reex_count)
                 colors.append("#00D2FF")
                 
-            # Failures Mitigated
             mit_count = len(df_filtered[
                 (df_filtered['exit_code'] > 1) & 
                 (df_filtered['is_rerun_success'] == 0) & 
@@ -344,7 +429,6 @@ else:
                 counts.append(mit_count)
                 colors.append("#FFAB00")
                 
-            # Active Failures
             act_count = len(df_filtered[
                 (df_filtered['exit_code'] > 1) & 
                 (df_filtered['is_rerun_success'] == 0) & 
@@ -372,7 +456,6 @@ else:
                 st.plotly_chart(fig_donut, use_container_width=True)
                 
         with col_chart2:
-            # Volume written by client
             if not df_filtered.empty:
                 df_grouped = df_filtered.groupby('client')['mbytes'].sum().reset_index()
                 df_grouped = df_grouped.sort_values(by='mbytes', ascending=False).head(7)
@@ -396,16 +479,15 @@ else:
                 st.plotly_chart(fig_bar, use_container_width=True)
                 
     # Tab 2: Job Table
-    with tab_table:
+    with tabs[1]:
         st.markdown("<h3 style='margin-bottom:15px;'>Lista Completa de Jobs Ingeridos</h3>", unsafe_allow_html=True)
         
-        # State Filter options
+        # State Filters
         error_state_filter = st.selectbox(
-            "Visualização de Erros:",
+            "Filtrar Registros por Estado:",
             options=["Todos os Registros", "Todos os Erros", "Erros Sem Tratativa / Pendentes", "Erros Corrigidos Automatizados (Reexecutados)"]
         )
         
-        # Filter dataframe based on state selection
         df_grid = df_filtered.copy()
         if error_state_filter == "Todos os Erros":
             df_grid = df_grid[df_grid['exit_code'] > 1]
@@ -424,7 +506,6 @@ else:
         if df_grid.empty:
             st.info("Nenhum registro corresponde ao filtro de erro selecionado.")
         else:
-            # Build display columns
             def get_rerun_badge(row):
                 code = row['exit_code']
                 reex = row['is_rerun_success']
@@ -458,11 +539,10 @@ else:
                 hide_index=True
             )
 
-    # Tab 3: Mitigation Register CRUD
+    # Tab 3: Mitigation CRUD Panel
-    with tab_mitigation:
+    with tabs[2]:
         st.markdown("<h3 style='margin-bottom:15px;'>Registro de Ações Corretivas</h3>", unsafe_allow_html=True)
         
-        # Failed jobs
         failed_jobs_df = df_filtered[df_filtered['exit_code'] > 1]
         
         if failed_jobs_df.empty:
@@ -472,7 +552,6 @@ else:
             
             with col_list:
                 st.markdown("#### Lista de Ocorrências com Erro")
-                
                 failures_list = []
                 for _, row in failed_jobs_df.iterrows():
                     jid = int(row['job_id'])
@@ -497,7 +576,6 @@ else:
             with col_form:
                 st.markdown("#### Formulário de Mitigação")
                 
-                # Dropdown option
                 job_options = [
                     f"{row['job_id']} - {row['client']} ({row['policy']})" 
                     for _, row in failed_jobs_df.iterrows()
@@ -505,7 +583,8 @@ else:
                 
                 selected_job_option = st.selectbox(
                     "Selecione o Job com falha para atualizar:",
-                    options=job_options
+                    options=job_options,
+                    key="mitigation_select"
                 )
                 
                 if selected_job_option:
@@ -521,7 +600,7 @@ else:
                     * **Reexecutado com Sucesso?** `{"Sim" if job_row['is_rerun_success'] == 1 else "Não"}`
                     """)
                     
-                    with st.form(key="mitigation_form_v2", clear_on_submit=False):
+                    with st.form(key="mitigation_form_v3", clear_on_submit=False):
                         action_text = st.text_area(
                             "Ação Tomada / Nota Técnica:",
                             value=current_text,
@@ -545,3 +624,70 @@ else:
                             st.toast("Mitigação registrada e salva no banco!", icon="💾")
                             time.sleep(0.8)
                             st.rerun()
+
+    # Tab 4: Admin Panel (Only visible to Administrators)
+    if st.session_state['role'] == 'admin':
+        with tabs[3]:
+            st.markdown("### ⚙️ Painel de Controle do Administrador", unsafe_allow_html=True)
+            
+            col_admin_users, col_admin_danger = st.columns([1.2, 1])
+            
+            with col_admin_users:
+                st.markdown("#### Gerenciamento de Usuários")
+                
+                # Form to create new user
+                with st.form("create_user_form", clear_on_submit=True):
+                    new_uname = st.text_input("Nome do Usuário:")
+                    new_passwd = st.text_input("Senha:", type="password")
+                    new_role = st.selectbox("Perfil de Acesso (Cargo):", options=["user", "admin"])
+                    submit_user = st.form_submit_button("Criar Novo Usuário")
+                    
+                    if submit_user:
+                        if not new_uname.strip():
+                            st.error("O nome de usuário não pode estar em branco.")
+                        elif len(new_passwd) < 6:
+                            st.error("A senha deve possuir no mínimo 6 caracteres.")
+                        else:
+                            success = db.create_user(new_uname, new_passwd, role=new_role)
+                            if success:
+                                st.success(f"Usuário '{new_uname.strip().lower()}' cadastrado com sucesso!")
+                                time.sleep(0.8)
+                                st.rerun()
+                            else:
+                                st.error("O nome de usuário já está sendo utilizado.")
+                                
+                # List users and delete option
+                st.markdown("##### Usuários Cadastrados")
+                users_list = db.get_all_users()
+                st.dataframe(pd.DataFrame(users_list), use_container_width=True, hide_index=True)
+                
+                # Delete user selector
+                st.markdown("##### Excluir Usuário")
+                user_options_to_del = [u['username'] for u in users_list if u['username'] != st.session_state['username']]
+                if user_options_to_del:
+                    user_to_delete = st.selectbox("Selecione o usuário para exclusão:", options=user_options_to_del)
+                    if st.button("Excluir Usuário Selecionado"):
+                        db.delete_user(user_to_delete)
+                        st.toast(f"Usuário '{user_to_delete}' removido!", icon="🗑️")
+                        time.sleep(0.8)
+                        st.rerun()
+                else:
+                    st.info("Nenhum outro usuário disponível para exclusão.")
+                    
+            with col_admin_danger:
+                st.markdown("#### Zona Vermelha (Ações Destrutivas)")
+                st.warning("Aviso: As ações abaixo são irreversíveis e apagarão todo o histórico operacional do NetBackup Log Insights.")
+                
+                # Form to confirm reset database
+                with st.form("reset_database_form", clear_on_submit=True):
+                    confirm_text = st.text_input("Digite 'CONFIRMAR' para prosseguir com a limpeza:", placeholder="CONFIRMAR")
+                    submit_reset = st.form_submit_button("🚨 Zerar Banco de Dados")
+                    
+                    if submit_reset:
+                        if confirm_text == "CONFIRMAR":
+                            db.reset_all_data()
+                            st.toast("Banco de dados limpo com sucesso!", icon="🧹")
+                            time.sleep(1.0)
+                            st.rerun()
+                        else:
+                            st.error("Texto de confirmação inválido. O banco de dados não foi modificado.")

database.py

@@ -1,6 +1,7 @@
 import os
 import sys
 import sqlite3
+import hashlib
 import pandas as pd
 
 def get_db_path():
@@ -9,12 +10,10 @@ def get_db_path():
     If the application is running inside a Docker container, it uses /app/data/nbu_insights.db.
     If running locally, it defaults to a local './data' directory.
     """
-    # Check if we are running in the container workspace or local workspace
     container_data_dir = "/app/data"
     if os.path.exists(container_data_dir) or os.environ.get("NBU_INSIGHTS_RUNNING") == "1":
         db_dir = container_data_dir
     else:
-        # Local development fallback
         base_dir = os.path.dirname(os.path.abspath(__file__))
         db_dir = os.path.join(base_dir, "data")
         
@@ -31,15 +30,39 @@ def get_connection():
     conn.row_factory = sqlite3.Row
     return conn
 
+def hash_password(password, salt=None):
+    """
+    Hashes a password using PBKDF2-SHA256 with 100,000 iterations and a unique salt.
+    Returns string 'salt_hex:hash_hex' which is safe to store in the DB.
+    """
+    if salt is None:
+        salt = os.urandom(16)
+    elif isinstance(salt, str):
+        salt = bytes.fromhex(salt)
+        
+    key = hashlib.pbkdf2_hmac('sha256', password.encode('utf-8'), salt, 100000)
+    return salt.hex() + ":" + key.hex()
+
+def verify_password(stored_password_hash, provided_password):
+    """
+    Verifies a password against its stored PBKDF2-SHA256 hash.
+    """
+    try:
+        salt_hex, key_hex = stored_password_hash.split(":")
+        salt = bytes.fromhex(salt_hex)
+        expected_key_hex = hashlib.pbkdf2_hmac('sha256', provided_password.encode('utf-8'), salt, 100000).hex()
+        return key_hex == expected_key_hex
+    except Exception:
+        return False
+
 def init_db():
     """
-    Initializes the SQLite database tables (processed_files, backup_jobs, and job_actions)
+    Initializes the SQLite database tables according to v2.0/v3.0 specs.
-    according to the v2.0 spec.
     """
     conn = get_connection()
     cursor = conn.cursor()
     
-    # Track processed files
+    # Processed files table
     cursor.execute("""
     CREATE TABLE IF NOT EXISTS processed_files (
         file_hash TEXT PRIMARY KEY,
@@ -48,7 +71,7 @@ def init_db():
     );
     """)
     
-    # Store backup jobs (with UPSERT mapping)
+    # Backup jobs table
     cursor.execute("""
     CREATE TABLE IF NOT EXISTS backup_jobs (
         job_id INTEGER PRIMARY KEY,
@@ -67,7 +90,7 @@ def init_db():
     );
     """)
     
-    # Store technician actions
+    # Technician actions table
     cursor.execute("""
     CREATE TABLE IF NOT EXISTS job_actions (
         job_id INTEGER PRIMARY KEY,
@@ -78,6 +101,15 @@ def init_db():
     );
     """)
     
+    # Users table
+    cursor.execute("""
+    CREATE TABLE IF NOT EXISTS users (
+        username TEXT PRIMARY KEY,
+        password_hash TEXT,
+        role TEXT DEFAULT 'user' -- 'admin' or 'user'
+    );
+    """)
+    
     conn.commit()
     conn.close()
 
@@ -108,13 +140,11 @@ def mark_file_processed(file_hash, file_name):
 def save_jobs(jobs_df):
     """
     Saves or updates jobs into the backup_jobs table using SQL UPSERT.
-    Preserves existing job actions by updating job details but not touching actions.
     """
     conn = get_connection()
     cursor = conn.cursor()
     
     for _, row in jobs_df.iterrows():
-        # Handle nan values for start/end times
         start_time = str(row['Start Time']) if not pd.isna(row['Start Time']) else None
         finish_time = str(row['Finish Time']) if not pd.isna(row['Finish Time']) else None
         
@@ -186,3 +216,83 @@ def get_historical_jobs():
     rows = cursor.fetchall()
     conn.close()
     return [dict(row) for row in rows]
+
+# --- User Management CRUD Methods ---
+
+def create_user(username, password, role='user'):
+    """
+    Hashes the password and creates a new user inside the SQLite store.
+    Username is stored in lowercase to ensure uniqueness.
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    password_hash = hash_password(password)
+    try:
+        cursor.execute(
+            "INSERT INTO users (username, password_hash, role) VALUES (?, ?, ?)",
+            (username.lower().strip(), password_hash, role)
+        )
+        conn.commit()
+        success = True
+    except sqlite3.IntegrityError:
+        # Username collision
+        success = False
+    conn.close()
+    return success
+
+def get_user(username):
+    """
+    Retrieves user profile dictionary by username.
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    cursor.execute("SELECT * FROM users WHERE username = ?", (username.lower().strip(),))
+    row = cursor.fetchone()
+    conn.close()
+    return dict(row) if row else None
+
+def has_admin_user():
+    """
+    Returns True if there is at least one administrator user registered.
+    Used for routing to the initial bootstrap setup screen.
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    cursor.execute("SELECT 1 FROM users WHERE role = 'admin' LIMIT 1")
+    row = cursor.fetchone()
+    conn.close()
+    return row is not None
+
+def get_all_users():
+    """
+    Returns lists of all user details (excluding their hashed passwords).
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    cursor.execute("SELECT username, role FROM users ORDER BY username")
+    rows = cursor.fetchall()
+    conn.close()
+    return [dict(row) for row in rows]
+
+def delete_user(username):
+    """
+    Removes a user by their username.
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    cursor.execute("DELETE FROM users WHERE username = ?", (username.lower().strip(),))
+    conn.commit()
+    conn.close()
+
+def reset_all_data():
+    """
+    Destructive helper: Truncates all backup jobs, processed file hashes, 
+    and technician actions. User accounts are NOT deleted.
+    """
+    conn = get_connection()
+    cursor = conn.cursor()
+    cursor.execute("DELETE FROM backup_jobs")
+    cursor.execute("DELETE FROM job_actions")
+    cursor.execute("DELETE FROM processed_files")
+    conn.commit()
+    conn.close()