Update app.py

app.py

@@ -1,137 +1,283 @@
 import pandas as pd
 import streamlit as st
-from datetime import datetime, timedelta
 import matplotlib.pyplot as plt
+import matplotlib.font_manager as font_manager
 import io
 import base64
-import matplotlib.gridspec as gridspec
+import os
+from datetime import datetime, timedelta
 import math
+from pypinyin import lazy_pinyin, Style
 from matplotlib.backends.backend_pdf import PdfPages
+import matplotlib.gridspec as gridspec
 from matplotlib.patches import FancyBboxPatch
 
-# --- Constants ---
+# --- Constants for "Quick Print" (放映场次核对表) ---
 SPLIT_TIME = "17:30"
 BUSINESS_START = "09:30"
 BUSINESS_END = "01:30"
 BORDER_COLOR = '#A9A9A9'
 DATE_COLOR = '#A9A9A9'
 
-def process_schedule(file):
-    """处理上传的 Excel 文件，生成排序和分组后的打印内容"""
+# --- Helper functions for "LED Screen" (放映时间核对表) ---
+def get_font(size=14):
+    """Loads a specific font file, falling back to a default if not found."""
+    font_path = "simHei.ttc"
+    if not os.path.exists(font_path):
+        font_path = "SimHei.ttf"  # Fallback font
+    # Add a final fallback for systems without Chinese fonts
     try:
-        # 读取 Excel，跳过前 8 行
-        df = pd.read_excel(file, skiprows=8)
+        return font_manager.FontProperties(fname=font_path, size=size)
+    except RuntimeError:
+        # If the font file is not found, use a default font that should exist.
+        # This will likely not render Chinese characters correctly but prevents crashing.
+        return font_manager.FontProperties(family='sans-serif', size=size)
+
+
+def get_pinyin_abbr(text):
+    """Gets the first letter of the Pinyin for the first two Chinese characters of a text."""
+    if not text:
+        return ""
+    # Extract the first two Chinese characters
+    chars = [c for c in text if '\u4e00' <= c <= '\u9fff']
+    chars = chars[:2]
+    # Get the first letter of the pinyin for each character
+    pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER)
+    return ''.join(pinyin_list).upper()
+
+# --- Processing logic for "LED Screen" (放映时间核对表) ---
+def process_schedule_led(file):
+    """Processes the '放映时间核对表.xls' file."""
+    try:
+        # Attempt to read the date from a specific cell
+        date_df = pd.read_excel(file, header=None, skiprows=7, nrows=1, usecols=[3])
+        date_str = pd.to_datetime(date_df.iloc[0, 0]).strftime('%Y-%m-%d')
+        base_date = pd.to_datetime(date_str).date()
+    except Exception:
+        # Fallback to the current date if reading fails
+        date_str = datetime.today().strftime('%Y-%m-%d')
+        base_date = datetime.today().date()
+
+    try:
+        df = pd.read_excel(file, header=9, usecols=[1, 2, 4, 5])
+        df.columns = ['Hall', 'StartTime', 'EndTime', 'Movie']
+        df['Hall'] = df['Hall'].ffill()
+        df.dropna(subset=['StartTime', 'EndTime', 'Movie'], inplace=True)
+        df['Hall'] = df['Hall'].astype(str).str.extract(r'(\d+号)')
+
+        # Convert times to datetime objects, handling overnight screenings
+        df['StartTime_dt'] = pd.to_datetime(df['StartTime'], format='%H:%M', errors='coerce').apply(
+            lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
+        )
+        df['EndTime_dt'] = pd.to_datetime(df['EndTime'], format='%H:%M', errors='coerce').apply(
+            lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
+        )
+        df.loc[df['EndTime_dt'] < df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
+        df = df.sort_values(['Hall', 'StartTime_dt'])
+
+        # Merge consecutive screenings of the same movie
+        merged_rows = []
+        for hall, group in df.groupby('Hall'):
+            group = group.sort_values('StartTime_dt')
+            current = None
+            for _, row in group.iterrows():
+                if current is None:
+                    current = row.copy()
+                else:
+                    if row['Movie'] == current['Movie']:
+                        current['EndTime_dt'] = row['EndTime_dt']
+                    else:
+                        merged_rows.append(current)
+                        current = row.copy()
+            if current is not None:
+                merged_rows.append(current)
+
+        merged_df = pd.DataFrame(merged_rows)
+
+        # Adjust start and end times
+        merged_df['StartTime_dt'] = merged_df['StartTime_dt'] - timedelta(minutes=10)
+        merged_df['EndTime_dt'] = merged_df['EndTime_dt'] - timedelta(minutes=5)
+
+        merged_df['StartTime_str'] = merged_df['StartTime_dt'].dt.strftime('%H:%M')
+        merged_df['EndTime_str'] = merged_df['EndTime_dt'].dt.strftime('%H:%M')
+
+        return merged_df[['Hall', 'Movie', 'StartTime_str', 'EndTime_str']], date_str
+    except Exception as e:
+        st.error(f"An error occurred during file processing: {e}")
+        return None, date_str
+
+# --- Layout generation for "LED Screen" (放映时间��对表) ---
+def create_print_layout_led(data, date_str):
+    """Generates PNG and PDF layouts for the 'LED Screen' schedule."""
+    if data is None or data.empty:
+        return None
+
+    # Create figures for PNG and PDF output with A4 dimensions
+    png_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
+    png_ax = png_fig.add_subplot(111)
+    png_ax.set_axis_off()
+    png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
+
+    pdf_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
+    pdf_ax = pdf_fig.add_subplot(111)
+    pdf_ax.set_axis_off()
+    pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
+
+    def process_figure(fig, ax):
+        halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')) if h else 0)
+
+        num_separators = len(halls) - 1
+        total_layout_rows = len(data) + num_separators + 2
+        
+        available_height = 0.96
+        row_height = available_height / total_layout_rows
+
+        fig_height_inches = fig.get_figheight()
+        row_height_points = row_height * fig_height_inches * 72
+        font_size = row_height_points * 0.9
+
+        date_font = get_font(font_size * 0.8)
+        hall_font = get_font(font_size)
+        movie_font = get_font(font_size)
+
+        col_hall_left = 0.0
+        col_movie_right = 0.50
+        col_seq_left = 0.52
+        col_pinyin_left = 0.62
+        col_time_left = 0.75
+
+        ax.text(col_hall_left, 0.99, date_str, color='#A9A9A9',
+                ha='left', va='top', fontproperties=date_font, transform=ax.transAxes)
+        
+        y_position = 0.98 - row_height
         
-        # 提取所需列 (G, H, J)
+        for i, hall in enumerate(halls):
+            hall_data = data[data['Hall'] == hall]
+            
+            if i > 0:
+                ax.axhline(y=y_position + row_height / 2, xmin=col_hall_left, xmax=0.97, color='black', linewidth=0.7)
+                y_position -= row_height
+
+            movie_count = 1
+            for _, row in hall_data.iterrows():
+                if movie_count == 1:
+                    ax.text(col_hall_left, y_position, f"{hall.replace('号', '')}#",
+                            ha='left', va='center', fontweight='bold',
+                            fontproperties=hall_font, transform=ax.transAxes)
+                
+                ax.text(col_movie_right, y_position, row['Movie'],
+                        ha='right', va='center', fontproperties=movie_font, transform=ax.transAxes)
+
+                ax.text(col_seq_left, y_position, f"{movie_count}.",
+                        ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
+
+                pinyin_abbr = get_pinyin_abbr(row['Movie'])
+                ax.text(col_pinyin_left, y_position, pinyin_abbr,
+                        ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
+                
+                ax.text(col_time_left, y_position, f"{row['StartTime_str']}-{row['EndTime_str']}",
+                        ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
+
+                y_position -= row_height
+                movie_count += 1
+
+    process_figure(png_fig, png_ax)
+    process_figure(pdf_fig, pdf_ax)
+    
+    png_buffer = io.BytesIO()
+    png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.05)
+    png_buffer.seek(0)
+    image_base64 = base64.b64encode(png_buffer.getvalue()).decode()
+    plt.close(png_fig)
+    
+    pdf_buffer = io.BytesIO()
+    with PdfPages(pdf_buffer) as pdf:
+        pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.05)
+    pdf_buffer.seek(0)
+    pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
+    plt.close(pdf_fig)
+    
+    return {
+        'png': f"data:image/png;base64,{image_base64}",
+        'pdf': f"data:application/pdf;base64,{pdf_base64}"
+    }
+
+# --- Processing logic for "Quick Print" (放映场次核对表) ---
+def process_schedule_quick(file):
+    """Processes the '放映场次核对表.xls' file."""
+    try:
+        df = pd.read_excel(file, skiprows=8)
         df = df.iloc[:, [6, 7, 9]]
         df.columns = ['Hall', 'StartTime', 'EndTime']
-        
-        # 清理数据
         df = df.dropna(subset=['Hall', 'StartTime', 'EndTime'])
-        
-        # 转换影厅格式为 "#号" 格式
         df['Hall'] = df['Hall'].str.extract(r'(\d+)号').astype(str) + ' '
         
-        # 保存原始时间字符串用于诊断
-        df['original_end'] = df['EndTime']
-        
-        # 转换时间为 datetime 对象
         base_date = datetime.today().date()
         df['StartTime'] = pd.to_datetime(df['StartTime'])
         df['EndTime'] = pd.to_datetime(df['EndTime'])
-        
-        # 设置基准时间
+
         business_start = datetime.strptime(f"{base_date} {BUSINESS_START}", "%Y-%m-%d %H:%M")
         business_end = datetime.strptime(f"{base_date} {BUSINESS_END}", "%Y-%m-%d %H:%M")
-        
-        # 处理跨天情况
         if business_end < business_start:
             business_end += timedelta(days=1)
-        
-        # 标准化所有时间到同一天或第二天
+
         for idx, row in df.iterrows():
             end_time = row['EndTime']
-            # If end time is early in the morning (e.g., after midnight), move it to the next day
             if end_time.hour < 9:
                 df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
-            # Handle cases starting late and ending after midnight
-            elif row['StartTime'].hour >= 21 and end_time.hour < 9:
+            if row['StartTime'].hour >= 21 and end_time.hour < 9:
                 df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
         
-        # 创建用于比较的时间列，不受日期影响
-        df['time_for_comparison'] = df['EndTime'].apply(
-            lambda x: datetime.combine(base_date, x.time())
-        )
-        # 确保凌晨的时间被推到第二天进行比较
+        df['time_for_comparison'] = df['EndTime'].apply(lambda x: datetime.combine(base_date, x.time()))
         df.loc[df['time_for_comparison'].dt.hour < 9, 'time_for_comparison'] += timedelta(days=1)
         
-        # 筛选营业时间内的场次
         valid_times = (
             (df['time_for_comparison'] >= datetime.combine(base_date, business_start.time())) &
-            (df['time_for_comparison'] <= business_end)
+            (df['time_for_comparison'] <= datetime.combine(base_date + timedelta(days=1), business_end.time()))
         )
-        
         df = df[valid_times]
-        
-        # 按散场时间排序
         df = df.sort_values('EndTime')
         
-        # 分割数据
         split_time_dt = datetime.strptime(f"{base_date} {SPLIT_TIME}", "%Y-%m-%d %H:%M")
         
-        part1 = df[df['EndTime'] <= split_time_dt].copy()
-        part2 = df[df['EndTime'] > split_time_dt].copy()
-        
-        # 格式化时间显示
+        part1 = df[df['time_for_comparison'] <= split_time_dt].copy()
+        part2 = df[df['time_for_comparison'] > split_time_dt].copy()
+
         for part in [part1, part2]:
             part['EndTime'] = part['EndTime'].dt.strftime('%-H:%M')
         
-        # 精确读取C6单元格以获取日期
-        date_df = pd.read_excel(
-            file,
-            skiprows=5,    # 跳过前5行（0-4）
-            nrows=1,       # 只读1行
-            usecols=[2],   # 第三列（C列）
-            header=None    # 无表头
-        )
+        date_df = pd.read_excel(file, skiprows=5, nrows=1, usecols=[2], header=None)
         date_cell = date_df.iloc[0, 0]
         
         try:
-            # 处理不同日期格式
             if isinstance(date_cell, str):
                 date_str = datetime.strptime(date_cell, '%Y-%m-%d').strftime('%Y-%m-%d')
             else:
                 date_str = pd.to_datetime(date_cell).strftime('%Y-%m-%d')
         except:
             date_str = datetime.today().strftime('%Y-%m-%d')
-        
+            
         return part1[['Hall', 'EndTime']], part2[['Hall', 'EndTime']], date_str
-    
+
     except Exception as e:
         st.error(f"处理文件时出错: {str(e)}")
         return None, None, None
 
-def create_print_layout(data, title, date_str):
-    """创建打印布局 (PNG 和 PDF)，动态调整字体大小"""
+# --- Layout generation for "Quick Print" (放映场次核对表) ---
+def create_print_layout_quick(data, title, date_str):
+    """Creates print layout for the 'Quick Print' schedule."""
     if data.empty:
         return None
 
-    # --- 创建 PNG 图形 ---
-    png_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5 竖向
-    png_ax_container = png_fig.add_subplot(111)
-    png_ax_container.set_axis_off()
+    png_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5
     png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
 
-    # --- 创建 PDF 图形 ---
-    pdf_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5 竖向
-    pdf_ax_container = pdf_fig.add_subplot(111)
-    pdf_ax_container.set_axis_off()
+    pdf_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5
     pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
 
-    # --- 内部绘图函数 ---
     def process_figure(fig, is_pdf=False):
         plt.rcParams['font.family'] = 'sans-serif'
-        plt.rcParams['font.sans-serif'] = ['Arial Unicode MS', 'Heiti TC', 'SimHei'] # 添加备用中文字体
+        plt.rcParams['font.sans-serif'] = ['Arial Unicode MS', 'Heiti TC', 'SimHei']
 
         total_items = len(data)
         num_cols = 3
@@ -139,14 +285,12 @@ def create_print_layout(data, title, date_str):
 
         gs = gridspec.GridSpec(num_rows + 1, num_cols, hspace=0.05, wspace=0.05, height_ratios=[0.1] + [1] * num_rows, figure=fig)
 
-        # --- 预先计算单元格的目标宽度（以像素为单位）---
-        target_width_px = 1  
+        target_width_px = 1
         if total_items > 0:
             ax_temp = fig.add_subplot(gs[1, 0])
             fig.canvas.draw()
             target_width_px = ax_temp.get_window_extent().width * 0.90
             ax_temp.remove()
-        # --- 预计算结束 ---
 
         available_height_per_row = (8.27 * 0.9 * (1 / 1.2)) / num_rows if num_rows > 0 else 1
         date_fontsize = min(40, max(10, available_height_per_row * 72 * 0.5))
@@ -165,7 +309,6 @@ def create_print_layout(data, title, date_str):
                 if new_index < len(sorted_data):
                     sorted_data[new_index] = item
 
-        # 绘制数据单元格
         for idx, (hall, end_time) in enumerate(sorted_data):
             if hall and end_time:
                 row_grid = idx // num_cols + 1
@@ -185,8 +328,6 @@ def create_print_layout(data, title, date_str):
                     ax.add_patch(bbox)
 
                     display_text = f"{hall}{end_time}"
-                    
-                    # --- 动态字体大小调整逻辑 ---
                     t = ax.text(0.5, 0.5, display_text,
                                 fontweight='bold', ha='center', va='center',
                                 transform=ax.transAxes)
@@ -195,16 +336,13 @@ def create_print_layout(data, title, date_str):
                     while current_size > 1:
                         t.set_fontsize(current_size)
                         text_bbox = t.get_window_extent(renderer=fig.canvas.get_renderer())
-                        
                         if text_bbox.width <= target_width_px:
                             break
                         current_size -= 2
-                    # --- 修改结束 ---
 
                     ax.set_xticks([])
                     ax.set_yticks([])
 
-        # 添加日期信息
         ax_date = fig.add_subplot(gs[0, :])
         ax_date.text(0.01, 0.5, f"{date_str} {title}",
                      fontsize=date_fontsize * 0.5,
@@ -216,18 +354,15 @@ def create_print_layout(data, title, date_str):
         ax_date.set_yticks([])
         ax_date.set_facecolor('none')
 
-    # --- 处理图形 ---
     process_figure(png_fig)
     process_figure(pdf_fig, is_pdf=True)
 
-    # --- 保存 PNG ---
     png_buffer = io.BytesIO()
     png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.02)
     png_buffer.seek(0)
     png_base64 = base64.b64encode(png_buffer.getvalue()).decode()
     plt.close(png_fig)
 
-    # --- 保存 PDF ---
     pdf_buffer = io.BytesIO()
     with PdfPages(pdf_buffer) as pdf:
         pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.02)
@@ -240,92 +375,79 @@ def create_print_layout(data, title, date_str):
         'pdf': f'data:application/pdf;base64,{pdf_base64}'
     }
 
+# --- Generic Helper to Display PDF ---
 def display_pdf(base64_pdf):
-    """在Streamlit中嵌入显示PDF"""
-    pdf_display = f'<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>'
+    """Generates the HTML to embed and display a PDF in Streamlit."""
+    pdf_display = f"""
+    <iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>
+    """
     return pdf_display
 
-# --- Streamlit 界面 ---
-st.set_page_config(page_title="散厅时间快捷打印", layout="wide")
-st.title("散厅时间快捷打印")
+# --- Main Streamlit App ---
+st.set_page_config(page_title="影院排期打印工具", layout="wide")
+st.title("影院排期打印工具")
 
-uploaded_file = st.file_uploader("上传【放映场次核对表.xls】文件", type=["xls"])
+uploaded_file = st.file_uploader(
+    "选择【放映时间核对表.xls】或【放映场次核对表.xls】文件",
+    accept_multiple_files=False,
+    type=["xls"]
+)
 
 if uploaded_file:
-    with st.spinner("文件处理中..."):
-        part1, part2, date_str = process_schedule(uploaded_file)
-
-    if part1 is not None and part2 is not None:
-        with st.spinner("正在生成布局..."):
-            part1_output = create_print_layout(part1, "A", date_str)
-            part2_output = create_print_layout(part2, "C", date_str)
-
-        col1, col2 = st.columns(2)
-
-        with col1:
-            st.subheader("白班散场预览（时间 ≤ 17:30）")
-            if part1_output:
-                # --- 新增：下载按钮 ---
-                png_data_1 = base64.b64decode(part1_output['png'].split(',')[1])
-                pdf_data_1 = base64.b64decode(part1_output['pdf'].split(',')[1])
-                
-                btn_col1, btn_col2 = st.columns(2)
-                with btn_col1:
-                    st.download_button(
-                        label="下载 PNG 图片",
-                        data=png_data_1,
-                        file_name=f"{date_str}-白班-A.png",
-                        mime="image/png",
-                        use_container_width=True
-                    )
-                with btn_col2:
-                    st.download_button(
-                        label="下载 PDF 文件",
-                        data=pdf_data_1,
-                        file_name=f"{date_str}-白班-A.pdf",
-                        mime="application/pdf",
-                        use_container_width=True
-                    )
-                # --- 新增结束 ---
-                
-                tab1_1, tab1_2 = st.tabs(["PDF 预览", "PNG 预览"])
-                with tab1_1:
-                    st.markdown(display_pdf(part1_output['pdf']), unsafe_allow_html=True)
-                with tab1_2:
-                    st.image(part1_output['png'])
+    with st.spinner("文件正在处理中，请稍候..."):
+        # --- Route to the correct processor based on filename ---
+
+        # 1. Logic for "LED 屏幕时间表打印"
+        if "放映时间核对表" in uploaded_file.name:
+            st.subheader("LED 屏幕时间表")
+            schedule, date_str = process_schedule_led(uploaded_file)
+            if schedule is not None:
+                output = create_print_layout_led(schedule, date_str)
+                if output:
+                    tab1, tab2 = st.tabs(["PDF 预览", "PNG 预览"])
+                    with tab1:
+                        st.markdown(display_pdf(output['pdf']), unsafe_allow_html=True)
+                    with tab2:
+                        st.image(output['png'], use_container_width=True)
+                else:
+                    st.info("没有可显示的数据。")
             else:
-                st.info("白班部分没有数据")
-
-        with col2:
-            st.subheader("夜班散场预览（时间 > 17:30）")
-            if part2_output:
-                # --- 新增：下载按钮 ---
-                png_data_2 = base64.b64decode(part2_output['png'].split(',')[1])
-                pdf_data_2 = base64.b64decode(part2_output['pdf'].split(',')[1])
-                
-                btn_col3, btn_col4 = st.columns(2)
-                with btn_col3:
-                    st.download_button(
-                        label="下载 PNG 图片",
-                        data=png_data_2,
-                        file_name=f"{date_str}-夜班-C.png",
-                        mime="image/png",
-                        use_container_width=True
-                    )
-                with btn_col4:
-                    st.download_button(
-                        label="下载 PDF 文件",
-                        data=pdf_data_2,
-                        file_name=f"{date_str}-夜班-C.pdf",
-                        mime="application/pdf",
-                        use_container_width=True
-                    )
-                # --- 新增结束 ---
-                
-                tab2_1, tab2_2 = st.tabs(["PDF 预览", "PNG 预览"])
-                with tab2_1:
-                    st.markdown(display_pdf(part2_output['pdf']), unsafe_allow_html=True)
-                with tab2_2:
-                    st.image(part2_output['png'])
+                st.error("无法处理文件，请检查文件格式或内容是否正确。")
+
+        # 2. Logic for "散厅时间快捷打印"
+        elif "放映场次核对表" in uploaded_file.name:
+            part1_data, part2_data, date_str = process_schedule_quick(uploaded_file)
+
+            if part1_data is not None and part2_data is not None:
+                part1_output = create_print_layout_quick(part1_data, "A", date_str)
+                part2_output = create_print_layout_quick(part2_data, "C", date_str)
+
+                col1, col2 = st.columns(2)
+
+                with col1:
+                    st.subheader("白班散场预览（时间 ≤ 17:30）")
+                    if part1_output:
+                        tab1_1, tab1_2 = st.tabs(["PDF 预览 ", "PNG 预览 "]) # Added space to make keys unique
+                        with tab1_1:
+                            st.markdown(display_pdf(part1_output['pdf']), unsafe_allow_html=True)
+                        with tab1_2:
+                            st.image(part1_output['png'])
+                    else:
+                        st.info("白班部分没有数据")
+
+                with col2:
+                    st.subheader("夜班散场预览（时间 > 17:30）")
+                    if part2_output:
+                        tab2_1, tab2_2 = st.tabs(["PDF 预览  ", "PNG 预览  "]) # Added spaces to make keys unique
+                        with tab2_1:
+                            st.markdown(display_pdf(part2_output['pdf']), unsafe_allow_html=True)
+                        with tab2_2:
+                            st.image(part2_output['png'])
+                    else:
+                        st.info("夜班部分没有数据")
             else:
-                st.info("夜班部分没有数据")
+                st.error("无法处理文件，请检查文件格式或内容是否正确。")
+        
+        # 3. Fallback for incorrect file
+        else:
+            st.warning("文件名不匹配。请上传名为【放映时间核对表.xls】或【放映场次核对表.xls】的文件。")