Update app.py

app.py

@@ -10,7 +10,7 @@ import matplotlib.pyplot as plt
 # === grafanalib: 定義 Dashboard 結構（不負責畫圖） ===
 # 注意：grafanalib 只產生 Grafana JSON；我們會把 JSON 顯示出來，並用 Matplotlib 實際畫圖
 from grafanalib.core import (
-    Dashboard, Graph, Row, Target, YAxis, YAxes,  # 移除 OPS_FORMAT
+    Dashboard, Graph, Row, Target, YAxis, YAxes, TimeRange  # ⬅️ 加入 TimeRange
 )
 
 TAIPEI = tz.gettz("Asia/Taipei")
@@ -40,7 +40,7 @@ def load_csv(file: gr.File | None) -> pd.DataFrame:
     df[time_col] = pd.to_datetime(df[time_col])
     df.rename(columns={time_col: "time"}, inplace=True)
     # 保證有時區（預設轉為台北）
-    if df["time"].dt.tz is None:
+    if getattr(df["time"].dt, "tz", None) is None:
         df["time"] = df["time"].dt.tz_localize(TAIPEI)
     return df
 
@@ -59,8 +59,8 @@ def build_grafanalib_dashboard(series_columns: list[str]) -> dict:
             dataSource="(example)",
             targets=targets,
             yAxes=YAxes(
-                left=YAxis(format="none"),
-                right=YAxis(format="none"),
+                left=YAxis(format="short"),   # 用 Grafana 內建單位 key；避免不支援的 "none"
+                right=YAxis(format="short"),
             ),
         )
     ]
@@ -72,8 +72,8 @@ def build_grafanalib_dashboard(series_columns: list[str]) -> dict:
                 dataSource="(example)",
                 targets=[Target(expr=f"{series_columns[1]}", legendFormat=series_columns[1])],
                 yAxes=YAxes(
-                    left=YAxis(format="none"),
-                    right=YAxis(format="none"),
+                    left=YAxis(format="short"),
+                    right=YAxis(format="short"),
                 ),
             )
         )
@@ -82,8 +82,7 @@ def build_grafanalib_dashboard(series_columns: list[str]) -> dict:
         title="Seismology Demo Dashboard (grafanalib + Gradio)",
         rows=[Row(panels=panels)],
         timezone="browser",
-        time_from="now-1h",
-        time_to="now",
+        time=TimeRange("now-1h", "now"),  # ⬅️ 正確做法：用 TimeRange 取代 time_from/time_to
     )
     return dash.to_json_data()