Update plotting_service.py

plotting_service.py

@@ -1,53 +1,44 @@
-# plotting_service.py
-import os
-import uuid
-import pandas as pd
-import matplotlib
-matplotlib.use("Agg")  # 使用非互動式後端
-import matplotlib.pyplot as plt
-from matplotlib.colors import Normalize
-import matplotlib.cm as cm
-from matplotlib import font_manager as fm
-from config import STATIC_DIR, CURRENT_YEAR
-
-def setup_chinese_font():
-    """如果系統中存在，則為 Matplotlib 設定中文字體。"""
-    font_paths = [
-        "/usr/share/fonts/opentype/noto/NotoSansCJK-Regular.ttc",
-        "/usr/share/fonts/truetype/noto/NotoSansCJK-Regular.ttc",
-        "/usr/share/fonts/truetype/wqy/wqy-microhei.ttc",
-        "/usr/share/fonts/truetype/arphic/ukai.ttc",
-    ]
-    for fp in font_paths:
-        if os.path.exists(fp):
-            matplotlib.rcParams["font.family"] = fm.FontProperties(fname=fp).get_name()
-            break
-
-def create_and_save_map(df: pd.DataFrame) -> str:
-    """建立地震地圖，儲存圖片並回傳檔案名稱。"""
-    setup_chinese_font()
-    fig, ax = plt.subplots(figsize=(9, 6), dpi=150)
-    ax.set_xlim(118.5, 123.5)
-    ax.set_ylim(20.5, 26.8)
-    ax.set_xlabel("Longitude (°E)")
-    ax.set_ylabel("Latitude (°N)")
-    ax.set_title(f"今年 ({CURRENT_YEAR}) 台灣區域顯著地震 (M≥5.0) — UTC")
-    ax.grid(True, linestyle="--", linewidth=0.5, alpha=0.4)
-
-    mags = df["magnitude"].astype(float).clip(lower=0)
-    norm = Normalize(vmin=max(4.5, mags.min()), vmax=max(6.5, mags.max()))
-    cmap = cm.get_cmap("YlOrRd")
-    colors = cmap(norm(mags.values))
-    sizes = 15 + (mags - mags.min()) * 25
-
-    ax.scatter(df["longitude"].values, df["latitude"].values,
-               s=sizes, c=colors, edgecolor="k", linewidths=0.4, alpha=0.9)
-
-    fig.colorbar(cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax, pad=0.02).set_label("Magnitude")
-
-    filename = f"map_{uuid.uuid4().hex}.png"
-    filepath = os.path.join(STATIC_DIR, filename)
-    fig.tight_layout()
-    fig.savefig(filepath)
-    plt.close(fig)
-    return filename
+# plotting_service.py
+import os
+import uuid
+import pandas as pd
+import matplotlib
+matplotlib.use("Agg")  # 使用非互動式後端
+import matplotlib.pyplot as plt
+from matplotlib.colors import Normalize
+import matplotlib.cm as cm
+from config import STATIC_DIR, CURRENT_YEAR
+
+# Note: The setup_chinese_font function is no longer needed as all text will be in English.
+
+def create_and_save_map(df: pd.DataFrame) -> str:
+    """Create an earthquake map, save the image, and return the filename."""
+    # The call to setup_chinese_font() has been removed.
+    fig, ax = plt.subplots(figsize=(9, 6), dpi=150)
+    ax.set_xlim(118.5, 123.5)
+    ax.set_ylim(20.5, 26.8)
+    ax.set_xlabel("Longitude (°E)")
+    ax.set_ylabel("Latitude (°N)")
+    
+    # [MODIFIED] The title has been changed to English.
+    ax.set_title(f"Significant Earthquakes (M≥5.0) in Taiwan Area This Year ({CURRENT_YEAR}) — UTC")
+    
+    ax.grid(True, linestyle="--", linewidth=0.5, alpha=0.4)
+
+    mags = df["magnitude"].astype(float).clip(lower=0)
+    norm = Normalize(vmin=max(4.5, mags.min()), vmax=max(6.5, mags.max()))
+    cmap = cm.get_cmap("YlOrRd")
+    colors = cmap(norm(mags.values))
+    sizes = 15 + (mags - mags.min()) * 25
+
+    ax.scatter(df["longitude"].values, df["latitude"].values,
+               s=sizes, c=colors, edgecolor="k", linewidths=0.4, alpha=0.9)
+
+    fig.colorbar(cm.ScalarMappable(norm=norm, cmap=cmap), ax=ax, pad=0.02).set_label("Magnitude")
+
+    filename = f"map_{uuid.uuid4().hex}.png"
+    filepath = os.path.join(STATIC_DIR, filename)
+    fig.tight_layout()
+    fig.savefig(filepath)
+    plt.close(fig)
+    return filename