Update app.py

app.py

@@ -4,8 +4,9 @@ import numpy as np
 from datetime import datetime, date, time
 from pathlib import Path
 import os
+import traceback
 
-# ===== Policy =====
+# ===== Policy (your latest spec) =====
 POLICY_CHANGE    = date(2025, 7, 7)   # "from 20250707" inclusive
 BASELINE_BEFORE  = time(17, 0)        # before policy date
 BASELINE_AFTER   = time(17, 30)       # from policy date
@@ -206,9 +207,30 @@ def process_file(path: str):
 
         return res, str(out_path)
     except Exception as e:
-        # show a readable error in the preview; keep file output empty
-        err_df = pd.DataFrame({"error": [str(e)]})
-        return err_df, None
+        # Show a readable error table and keep file output empty
+        err = f"{type(e).__name__}: {e}"
+        # Uncomment for deeper debugging in Space logs:
+        # print(traceback.format_exc())
+        return pd.DataFrame({"error": [err]}), None
+
+# Create a tiny example file so users can test without uploading
+example_path = Path("example.csv")
+if not example_path.exists():
+    example_path.write_text(
+        "emp,date,time,status\n"
+        "3827264,20250626,82547,P10\n"
+        "3827264,20250626,82548,P10\n"
+        "3827264,20250626,123635,P20\n"
+        "3827264,20250626,123641,P20\n"
+        "3827264,20250626,123643,P20\n"
+        "3827264,20250626,131645,P10\n"
+        "3827264,20250626,190534,P20\n"
+        "3827264,20250626,192431,P10\n"
+        "3827264,20250626,192432,P10\n"
+        "3827264,20250626,225026,P20\n"
+        "3827264,20250626,225028,P20\n",
+        encoding="utf-8"
+    )
 
 # ===== UI =====
 with gr.Blocks(title="OT Calculator (P10/P20)", analytics_enabled=False) as demo:
@@ -218,14 +240,23 @@ with gr.Blocks(title="OT Calculator (P10/P20)", analytics_enabled=False) as demo
         "Policy: baseline 17:00 before 2025-07-07; 17:30 from that date.  \n"
         "Case 4 uses virtual 17:30 / 18:00 and shows it in `virtual_in_time`."
     )
-    # type='filepath' makes the function receive a simple string path
     file_in = gr.File(label="Upload Excel/CSV", file_types=[".xlsx",".xls",".csv"], type="filepath")
     run_btn = gr.Button("Compute OT", variant="primary")
     df_out  = gr.Dataframe(label="Result preview", interactive=False, wrap=True, row_count=(12, "dynamic"))
     dl      = gr.File(label="Download OT Excel (.xlsx)")
 
-    run_btn.click(process_file, inputs=file_in, outputs=[df_out, dl])
+    # Give users a quick example they can click
+    gr.Examples(
+        examples=[str(example_path)],
+        inputs=file_in,
+        label="Try with an example CSV"
+    )
+
+    # IMPORTANT: name the API so Spaces shows “Use via API” and avoid ‘No API found’
+    run_btn.click(process_file, inputs=file_in, outputs=[df_out, dl], api_name="compute")
 
+# Enable queue for concurrency
+demo.queue()
 # Spaces will run this automatically; local dev fallback:
 if __name__ == "__main__":
     demo.launch()