Update app.py

app.py

@@ -573,9 +573,9 @@ async def process_logs(file_obj, lab_site_filter, equipment_type_filter, date_ra
                 days = int(date_range)
                 date_range = [days, days]
                 logging.info(f"Converted single value {days} to range {date_range}")
-            if len(date_range) != 2 or not all(isinstance(x, (int, float)) for x in date_range):
-                logging.error(f"Invalid date range format: {date_range}. Expected [start, end] or single integer.")
-                return "Invalid date range format. Please use [start, end] (e.g., [-7, 0]) or a single integer (e.g., -1).", "<p>Error processing data.</p>", None, '<p>Error processing data.</p>', None, None, None, None, "", "", "", None, df, current_modified_time
+            if len(date_range) != 2 or not all(isinstance(x, (int, float)) for x in date_range) or date_range[0] > date_range[1]:
+                logging.error(f"Invalid date range format: {date_range}. Expected [start, end] with start <= end (e.g., [-45, -28]).")
+                return "Invalid date range. Please use [start, end] where start <= end (e.g., [-45, -28]) or a single integer (e.g., -30).", "<p>Error processing data.</p>", None, '<p>Error processing data.</p>', None, None, None, None, "", "", "", None, df, current_modified_time
             days_start, days_end = date_range
             today = pd.to_datetime(datetime.now()).tz_localize('Asia/Kolkata')
             start_date = today + pd.Timedelta(days=days_start)
@@ -674,7 +674,7 @@ try:
         .table tr:nth-child(even) {background-color: #f9f9f9;}
     """) as iface:
         gr.Markdown("<h1>LabOps Log Analyzer Dashboard</h1>")
-        gr.Markdown("Upload a CSV file to analyze. Click 'Analyze' to refresh the dashboard. Use 'Export PDF' for report download. Date Range can be [start, end] (e.g., [-7, 0] for June 11 to June 18) or a single integer (e.g., -1 for June 17).")
+        gr.Markdown("Upload a CSV file to analyze. Click 'Analyze' to refresh the dashboard. Use 'Export PDF' for report download. Date Range can be [start, end] (e.g., [-45, -28] for June 1 to June 18) or a single integer (e.g., -30 for June 15).")
 
         last_modified_state = gr.State(value=None)
         current_file_state = gr.State(value=None)
@@ -687,7 +687,7 @@ try:
                     gr.Markdown("### Filters")
                     lab_site_filter = gr.Dropdown(label="Lab Site", choices=['All'], value='All', interactive=True)
                     equipment_type_filter = gr.Dropdown(label="Equipment Type", choices=['All'], value='All', interactive=True)
-                    date_range_filter = gr.Slider(label="Date Range (Days from Today)", minimum=-365, maximum=0, step=1, value=[-7, 0], interactive=True)
+                    date_range_filter = gr.Slider(label="Date Range (Days from Today)", minimum=-365, maximum=0, step=1, value=[-45, -28], interactive=True)
                     submit_button = gr.Button("Analyze", variant="primary")
                     pdf_button = gr.Button("Export PDF", variant="secondary")
 
@@ -707,14 +707,24 @@ try:
                         gr.Markdown("### Charts")
                         with gr.Tab("Usage Hours per Device"):
                             usage_chart_output = gr.Plot()
+                            if not plotly_available:
+                                gr.Markdown("**Note:** Charts are unavailable because the 'plotly' library is not installed.")
                         with gr.Tab("Downtime per Device"):
                             downtime_chart_output = gr.Plot()
+                            if not plotly_available:
+                                gr.Markdown("**Note:** Charts are unavailable because the 'plotly' library is not installed.")
                         with gr.Tab("Daily Log Trends"):
                             daily_log_trends_output = gr.Plot()
+                            if not plotly_available:
+                                gr.Markdown("**Note:** Charts are unavailable because the 'plotly' library is not installed.")
                         with gr.Tab("Weekly Uptime Percentage"):
                             weekly_uptime_output = gr.Plot()
+                            if not plotly_available:
+                                gr.Markdown("**Note:** Charts are unavailable because the 'plotly' library is not installed.")
                         with gr.Tab("Anomaly Alerts"):
                             anomaly_alerts_output = gr.Plot()
+                            if not plotly_available:
+                                gr.Markdown("**Note:** Charts are unavailable because the 'plotly' library is not installed.")
                     with gr.Group(elem_classes="dashboard-section"):
                         gr.Markdown("### Step 4: Anomaly Detection")
                         anomaly_output = gr.Markdown()