Update app.py

app.py

@@ -62,12 +62,18 @@ def run_analysis():
 
         # ----------------- 圖表 -----------------
         # 1. 當日情緒比例
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         fig1 = plt.figure(figsize=(8,5))
         summary[['正面比率','負面比率']].plot(kind='bar', stacked=True, colormap='coolwarm', ax=fig1.gca())
         fig1.gca().set_title("候選人當日社群情緒比例")
         img_b64_today = plot_to_base64(fig1)
 
         # 2. 歷史情緒趨勢
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         fig2 = plt.figure(figsize=(10,5))
         for c in candidates:
             temp = df_hist[df_hist['候選人']==c]
@@ -81,6 +87,9 @@ def run_analysis():
 
         # 3~8 其他圖表生成
         # 社群情感趨勢
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         fig3 = plt.figure(figsize=(8,5))
         plt.plot(range(7), [random.random() for _ in range(7)], marker='o', label="正面")
         plt.plot(range(7), [random.random() for _ in range(7)], marker='x', label="負面")
@@ -89,6 +98,9 @@ def run_analysis():
         img_social_sentiment = plot_to_base64(fig3)
 
         # 各平台表現
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         fig4 = plt.figure(figsize=(8,5))
         platforms=["X","Facebook","Instagram","PTT","Line"]
         plt.bar(platforms, [random.randint(10,100) for _ in platforms], color='skyblue')
@@ -96,6 +108,9 @@ def run_analysis():
         img_platform_performance = plot_to_base64(fig4)
 
         # 候選人社群量趨勢
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         fig5 = plt.figure(figsize=(8,5))
         for c in candidates: plt.plot(range(7), [random.randint(5,20) for _ in range(7)], marker='o', label=c)
         plt.title("候選人社群量趨勢")
@@ -103,12 +118,18 @@ def run_analysis():
         img_candidate_volume = plot_to_base64(fig5)
 
         # 候選人社群量分析
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         fig6 = plt.figure(figsize=(8,5))
         summary[['正面比率','負面比率']].plot(kind='bar', stacked=True, colormap='coolwarm', ax=fig6.gca())
         fig6.gca().set_title("候選人社群量分析（正/負面情緒）")
         img_candidate_sentiment = plot_to_base64(fig6)
 
         # 知識圖譜
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         fig7, ax7 = plt.subplots(figsize=(8,6))
         G=nx.Graph()
         for c in candidates: G.add_node(c)
@@ -141,6 +162,9 @@ def run_analysis():
         """
 
         # HTML template
+        plt.rcParams['font.sans-serif'] = ['Microsoft JhengHei', 'Arial Unicode MS', 'SimHei', 'DejaVu Sans']
+        plt.rcParams['axes.unicode_minus'] = False
+
         html_template = open("templates/index.html").read()
         html_content = html_template.format(
             report_date=datetime.now().strftime('%Y-%m-%d %H:%M'),