Update app.py

app.py

@@ -1,178 +1,304 @@
 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
+from matplotlib.lines import Line2D
 import io
 import base64
+import os
+from datetime import datetime, timedelta
+from pypinyin import lazy_pinyin, Style
+from matplotlib.backends.backend_pdf import PdfPages
 import matplotlib.gridspec as gridspec
 import math
-from matplotlib.backends.backend_pdf import PdfPages
 
-# Constants
+# --- Constants for the second script ---
 SPLIT_TIME = "17:30"
 BUSINESS_START = "09:30"
 BUSINESS_END = "01:30"
-BORDER_COLOR = 'grey' # Changed to grey for the new border
+BORDER_COLOR = 'grey'
 DATE_COLOR = '#A9A9A9'
 A5_WIDTH_IN = 5.83
 A5_HEIGHT_IN = 8.27
 NUM_COLS = 3
 
+# --- Functions from the first script ---
+def get_font(size=14):
+    """Loads a specific TrueType font, defaulting to a common Chinese font."""
+    font_path = "simHei.ttc"
+    if not os.path.exists(font_path):
+        font_path = "SimHei.ttf"
+    if os.path.exists(font_path):
+        return font_manager.FontProperties(fname=font_path, size=size)
+    else:
+        st.warning("SimHei font not found. Display may not be correct. Please add simHei.ttc or SimHei.ttf.")
+        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 ""
+    chars = [c for c in text if '\u4e00' <= c <= '\u9fff'][:2]
+    if not chars:
+        return ""
+    pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER)
+    return ''.join(pinyin_list).upper()
+
+def format_seq(n):
+    """Converts an integer to a circled number string (e.g., 1 -> ①)."""
+    if not isinstance(n, int) or n <= 0:
+        return str(n)
+    circled_chars = "①②③④⑤⑥⑦⑧⑨⑩⑪⑫⑬⑭⑮⑯⑰⑱⑲⑳" \
+                    "㉑㉒㉓㉔㉕㉖㉗㉘㉙㉚㉛㉜㉝㉞㉟" \
+                    "㊱㊲㊳㊴㊵㊶㊷㊸㊹㊺㊻㊼㊽㊾㊿"
+    if 1 <= n <= 50:
+        return circled_chars[n - 1]
+    return f'({n})'
+
+def process_schedule_led(file):
+    """Processes '放映时间核对表.xls'."""
+    try:
+        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:
+        date_str = datetime.today().strftime('%Y-%m-%d')
+        base_date = datetime.today().date()
 
-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"""
     try:
-        # 读取 Excel，跳过前 8 行
-        df = pd.read_excel(file, skiprows=8)
+        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)')
+        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'])
+        merged_rows = []
+        for _, group in df.groupby('Hall'):
+            current = None
+            for _, row in group.sort_values('StartTime_dt').iterrows():
+                if current is None:
+                    current = row.copy()
+                elif 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)
+        merged_df['StartTime_dt'] -= timedelta(minutes=10)
+        merged_df['EndTime_dt'] -= timedelta(minutes=5)
+        merged_df['Seq'] = merged_df.groupby('Hall').cumcount() + 1
+        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', 'Seq', 'Movie', 'StartTime_str', 'EndTime_str']], date_str
+    except Exception as e:
+        st.error(f"Error processing schedule data: {e}. Please check the file format.")
+        return None, date_str
 
-        # 提取所需列 (G9, H9, J9)
-        df = df.iloc[:, [6, 7, 9]]  # G, H, J 列
+def create_print_layout_led(data, date_str):
+    """Generates print layouts for '放映时间核对表.xls'."""
+    if data is None or data.empty:
+        return None
+    A4_width_in, A4_height_in = 8.27, 11.69
+    dpi = 300
+    total_content_rows = len(data)
+    totalA = total_content_rows + 2
+    row_height = A4_height_in / totalA
+    data = data.reset_index(drop=True)
+    data['hall_str'] = '$' + data['Hall'].str.replace('号', '') + '^{\#}$'
+    data['seq_str'] = data['Seq'].apply(format_seq)
+    data['pinyin_abbr'] = data['Movie'].apply(get_pinyin_abbr)
+    data['time_str'] = data['StartTime_str'] + ' - ' + data['EndTime_str']
+    temp_fig = plt.figure(figsize=(A4_width_in, A4_height_in), dpi=dpi)
+    renderer = temp_fig.canvas.get_renderer()
+    base_font_size_pt = (row_height * 0.9) * 72
+    seq_font_size_pt = (row_height * 0.5) * 72
+
+    def get_col_width_in(series, font_size_pt, is_math=False):
+        if series.empty:
+            return 0
+        font_prop = get_font(font_size_pt)
+        longest_str_idx = series.astype(str).str.len().idxmax()
+        max_content = str(series.loc[longest_str_idx])
+        text_width_px, _, _ = renderer.get_text_width_height_descent(max_content, font_prop, ismath=is_math)
+        return (text_width_px / dpi) * 1.1
+
+    margin_col_width = row_height
+    hall_col_width = get_col_width_in(data['hall_str'], base_font_size_pt, is_math=True)
+    seq_col_width = get_col_width_in(data['seq_str'], seq_font_size_pt)
+    pinyin_col_width = get_col_width_in(data['pinyin_abbr'], base_font_size_pt)
+    time_col_width = get_col_width_in(data['time_str'], base_font_size_pt)
+    movie_col_width = A4_width_in - (
+            margin_col_width * 2 + hall_col_width + seq_col_width + pinyin_col_width + time_col_width)
+    plt.close(temp_fig)
+    col_widths = {'hall': hall_col_width, 'seq': seq_col_width, 'movie': movie_col_width, 'pinyin': pinyin_col_width,
+                  'time': time_col_width}
+    col_x_starts = {}
+    current_x = margin_col_width
+    for col_name in ['hall', 'seq', 'movie', 'pinyin', 'time']:
+        col_x_starts[col_name] = current_x
+        current_x += col_widths[col_name]
+
+    def draw_figure(fig, ax):
+        renderer = fig.canvas.get_renderer()
+        for col_name in ['hall', 'seq', 'movie', 'pinyin']:
+            x_line = col_x_starts[col_name] + col_widths[col_name]
+            line_top_y, line_bottom_y = A4_height_in - row_height, row_height
+            ax.add_line(
+                Line2D([x_line, x_line], [line_bottom_y, line_top_y], color='gray', linestyle=':', linewidth=0.5))
+        last_hall_drawn = None
+        for i, row in data.iterrows():
+            y_bottom = A4_height_in - (i + 2) * row_height
+            y_center = y_bottom + row_height / 2
+            if row['Hall'] != last_hall_drawn:
+                ax.text(col_x_starts['hall'] + col_widths['hall'] / 2, y_center, row['hall_str'],
+                        fontproperties=get_font(base_font_size_pt), ha='center', va='center')
+                last_hall_drawn = row['Hall']
+            ax.text(col_x_starts['seq'] + col_widths['seq'] / 2, y_center, row['seq_str'],
+                    fontproperties=get_font(seq_font_size_pt), ha='center', va='center')
+            ax.text(col_x_starts['pinyin'] + col_widths['pinyin'] / 2, y_center, row['pinyin_abbr'],
+                    fontproperties=get_font(base_font_size_pt), ha='center', va='center')
+            ax.text(col_x_starts['time'] + col_widths['time'] / 2, y_center, row['time_str'],
+                    fontproperties=get_font(base_font_size_pt), ha='center', va='center')
+            movie_font_size = base_font_size_pt
+            movie_font_prop = get_font(movie_font_size)
+            text_w_px, _, _ = renderer.get_text_width_height_descent(row['Movie'], movie_font_prop, ismath=False)
+            text_w_in = text_w_px / dpi
+            max_width_in = col_widths['movie'] * 0.9
+            if text_w_in > max_width_in:
+                movie_font_size *= (max_width_in / text_w_in)
+                movie_font_prop = get_font(movie_font_size)
+            ax.text(col_x_starts['movie'] + 0.05, y_center, row['Movie'],
+                    fontproperties=movie_font_prop, ha='left', va='center')
+            is_last_in_hall = (i == len(data) - 1) or (row['Hall'] != data.loc[i + 1, 'Hall'])
+            line_start_x = margin_col_width
+            line_end_x = A4_width_in - margin_col_width
+            if is_last_in_hall:
+                ax.add_line(Line2D([line_start_x, line_end_x], [y_bottom, y_bottom], color='black', linestyle='-',
+                                   linewidth=0.8))
+            else:
+                ax.add_line(Line2D([line_start_x, line_end_x], [y_bottom, y_bottom], color='gray', linestyle=':',
+                                   linewidth=0.5))
+
+    outputs = {}
+    for format_type in ['png', 'pdf']:
+        fig = plt.figure(figsize=(A4_width_in, A4_height_in), dpi=dpi)
+        ax = fig.add_axes([0, 0, 1, 1])
+        ax.set_axis_off()
+        ax.set_xlim(0, A4_width_in)
+        ax.set_ylim(0, A4_height_in)
+        ax.text(margin_col_width, A4_height_in - (row_height / 2), date_str,
+                fontproperties=get_font(10), color='#A9A9A9', ha='left', va='center')
+        draw_figure(fig, ax)
+        buf = io.BytesIO()
+        fig.savefig(buf, format=format_type, dpi=dpi, bbox_inches='tight', pad_inches=0)
+        buf.seek(0)
+        data_uri = base64.b64encode(buf.getvalue()).decode()
+        mime_type = 'image/png' if format_type == 'png' else 'application/pdf'
+        outputs[format_type] = f"data:{mime_type};base64,{data_uri}"
+        plt.close(fig)
+    return outputs
+
+# --- Functions from the second script ---
+def process_schedule_times(file):
+    """Processes '放映场次核对表.xls'."""
+    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
         for idx, row in df.iterrows():
             end_time = row['EndTime']
             if end_time.hour < 9:
                 df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
-
             if row['StartTime'].hour >= 21 and end_time.hour < 9:
                 df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
-
-        # 筛选营业时间内的场次
         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)
-
         valid_times = (
-            ((df['time_for_comparison'] >= datetime.combine(base_date, business_start.time())) &
-             (df['time_for_comparison'] <= datetime.combine(base_date + timedelta(days=1), business_end.time())))
+                ((df['time_for_comparison'] >= datetime.combine(base_date, business_start.time())) &
+                 (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 = datetime.strptime(f"{base_date} {SPLIT_TIME}", "%Y-%m-%d %H:%M")
         split_time_for_comparison = df['time_for_comparison'].apply(
             lambda x: datetime.combine(base_date, split_time.time())
         )
-
         part1 = df[df['time_for_comparison'] <= split_time_for_comparison].copy()
         part2 = df[df['time_for_comparison'] > split_time_for_comparison].copy()
-
-        # 格式化时间显示
         for part in [part1, part2]:
             part['EndTime'] = part['EndTime'].dt.strftime('%-H:%M')
-
-        # 精确读取C6单元格
         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
+            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):
-    """创建精确的 A5 表格打印布局 (PNG 和 PDF)"""
+def create_print_layout_times(data, title, date_str):
+    """Creates print layouts for '放映场次核对表.xls'."""
     if data.empty:
         return None
 
-    # --- 内部绘图函数 ---
     def generate_figure():
-        # --- 1. 计算布局和字体大小 ---
         total_items = len(data)
         num_rows = math.ceil(total_items / NUM_COLS) if total_items > 0 else 1
-
-        # 定义日期标题行的高度（英寸），数据行将填充剩余空间
         date_header_height_in = 0.3
         data_area_height_in = A5_HEIGHT_IN - date_header_height_in
-
-        # 计算每个数据单元格的尺寸（英寸）
         cell_width_in = A5_WIDTH_IN / NUM_COLS
         cell_height_in = data_area_height_in / num_rows
-
-        # 将单元格宽度转换为点（1 英寸 = 72 点）
         cell_width_pt = cell_width_in * 72
         cell_height_pt = cell_height_in * 72
-
-        # --- 动态字体大小计算 ---
-        # 目标：文本总宽度为单元格宽度的 90%
         target_text_width_pt = cell_width_pt * 0.9
-        # 启发式估算：假设最长文本为 "10 23:59" (8个字符)，平均字符宽度约为字体大小的0.6倍
-        # FONT_SIZE = target_width / (num_chars * avg_char_width_factor)
         fontsize_from_width = target_text_width_pt / (8 * 0.6)
-        # 字体高度不能超过单元格高度（留出20%的垂直边距）
         fontsize_from_height = cell_height_pt * 0.8
-        # 选择两者中较小的一个，以确保文本能完全容纳
         base_fontsize = min(fontsize_from_width, fontsize_from_height)
-
-        # --- 2. 创建图形和网格 ---
         fig = plt.figure(figsize=(A5_WIDTH_IN, A5_HEIGHT_IN), dpi=300)
-        # 设置无边距，让网格填满整个图纸
         fig.subplots_adjust(left=0, right=1, top=1, bottom=0)
-
-        # 设置字体
         plt.rcParams['font.family'] = 'sans-serif'
-        plt.rcParams['font.sans-serif'] = ['Arial Unicode MS'] # 确保字体可用
-
-        # 创建网格，顶部为日期行，下方为数据行
-        # 使用高度（英寸）作为比率，GridSpec会自动归一化
+        plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']
         gs = gridspec.GridSpec(
             num_rows + 1, NUM_COLS,
-            hspace=0, wspace=0, # 无单元格间距
+            hspace=0, wspace=0,
             height_ratios=[date_header_height_in] + [cell_height_in] * num_rows,
             figure=fig
         )
-
-        # --- 3. 补全和排序数据 ---
         data_values = data.values.tolist()
         while len(data_values) % NUM_COLS != 0:
             data_values.append(['', ''])
-
         rows_per_col_layout = math.ceil(len(data_values) / NUM_COLS)
         sorted_data = [['', '']] * len(data_values)
         for i, item in enumerate(data_values):
@@ -182,109 +308,101 @@ def create_print_layout(data, title, date_str):
                 new_index = row_in_col * NUM_COLS + col_idx
                 if new_index < len(sorted_data):
                     sorted_data[new_index] = item
-
-        # --- 4. 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  # +1 因为日期行占了第0行
+                row_grid = idx // NUM_COLS + 1
                 col_grid = idx % NUM_COLS
-
                 ax = fig.add_subplot(gs[row_grid, col_grid])
-
-                # --- 设置点状虚线边框 ---
                 for spine in ax.spines.values():
                     spine.set_visible(True)
-                    spine.set_linestyle((0, (1, 2)))  # 点状线: (offset, (on_length, off_length))
+                    spine.set_linestyle((0, (1, 2)))
                     spine.set_color(BORDER_COLOR)
-                    spine.set_linewidth(0.75) # 点状线可能需要稍粗一点才清晰
-
-                # 绘制居中对齐的文本
+                    spine.set_linewidth(0.75)
                 display_text = f"{hall}{end_time}"
                 ax.text(0.5, 0.5, display_text,
                         fontsize=base_fontsize,
                         fontweight='bold',
                         ha='center', va='center',
                         transform=ax.transAxes)
-
                 ax.set_xticks([])
                 ax.set_yticks([])
                 ax.set_facecolor('none')
-
-        # --- 5. 绘制日期标题 ---
         ax_date = fig.add_subplot(gs[0, :])
         ax_date.text(0.01, 0.5, f"{date_str} {title}",
-                     fontsize=base_fontsize * 0.5, # 日期字体稍小
+                     fontsize=base_fontsize * 0.5,
                      color=DATE_COLOR, fontweight='bold',
                      ha='left', va='center',
                      transform=ax_date.transAxes)
-        ax_date.set_axis_off() # 完全隐藏日期行的边框和刻度
+        ax_date.set_axis_off()
         ax_date.set_facecolor('none')
-
         return fig
 
-    # --- 生成并保存图形 ---
     fig_for_output = generate_figure()
-
-    # 保存为 PNG
     png_buffer = io.BytesIO()
-    fig_for_output.savefig(png_buffer, format='png') # 无需 bbox_inches='tight'
+    fig_for_output.savefig(png_buffer, format='png')
     png_buffer.seek(0)
     png_base64 = base64.b64encode(png_buffer.getvalue()).decode()
-
-    # 保存为 PDF
     pdf_buffer = io.BytesIO()
     with PdfPages(pdf_buffer) as pdf:
-        pdf.savefig(fig_for_output) # 无需 bbox_inches='tight'
+        pdf.savefig(fig_for_output)
     pdf_buffer.seek(0)
     pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
-
-    plt.close(fig_for_output) # 关闭图形，释放内存
-
+    plt.close(fig_for_output)
     return {
         'png': f'data:image/png;base64,{png_base64}',
         'pdf': f'data:application/pdf;base64,{pdf_base64}'
     }
 
-
 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>'
-    return pdf_display
+    """Generates the HTML to embed a PDF in Streamlit."""
+    return f'<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>'
 
-# --- 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")
+# --- Streamlit App ---
+st.set_page_config(page_title="Schedule Printer", layout="wide")
+st.title("Schedule Printer")
 
-uploaded_file = st.file_uploader("上传【放映场次核对表.xls】文件", type=["xls"])
+uploaded_file = st.file_uploader("Select '放映时间核对表.xls' or '放映场次核对表.xls'",
+                                 type=["xls", "xlsx"])
 
 if uploaded_file:
-    part1, part2, date_str = process_schedule(uploaded_file)
-
-    if part1 is not None and part2 is not None:
-        # 生成包含 PNG 和 PDF 的字典
-        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:
-                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'])
-            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"])
-                with tab2_1:
-                    st.markdown(display_pdf(part2_output['pdf']), unsafe_allow_html=True)
-                with tab2_2:
-                    st.image(part2_output['png'])
+    if "时间" in uploaded_file.name:
+        st.header("LED Screen Schedule")
+        with st.spinner("Processing file, please wait..."):
+            schedule, date_str = process_schedule_led(uploaded_file)
+            if schedule is not None and not schedule.empty:
+                output = create_print_layout_led(schedule, date_str)
+                tab1, tab2 = st.tabs(["PDF Preview", "PNG Preview"])
+                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("夜班部分没有数据")
+                st.error("Could not process the file. Please check if the file format and content are correct.")
+    elif "场次" in uploaded_file.name:
+        st.header("Screening Times Quick Print")
+        part1, part2, date_str = process_schedule_times(uploaded_file)
+        if part1 is not None and part2 is not None:
+            part1_output = create_print_layout_times(part1, "A", date_str)
+            part2_output = create_print_layout_times(part2, "C", date_str)
+            col1, col2 = st.columns(2)
+            with col1:
+                st.subheader("Day Shift (End time <= 17:30)")
+                if part1_output:
+                    tab1_1, tab1_2 = st.tabs(["PDF Preview", "PNG Preview"])
+                    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("No data for the day shift.")
+            with col2:
+                st.subheader("Night Shift (End time > 17:30)")
+                if part2_output:
+                    tab2_1, tab2_2 = st.tabs(["PDF Preview", "PNG Preview"])
+                    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("No data for the night shift.")
+