app.py

import pandas as pd
import streamlit as st
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, time
from pypinyin import lazy_pinyin, Style
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.gridspec as gridspec
import math

# --- 常量和配置 ---
BUSINESS_START = "09:30"
BUSINESS_END = "01:30"
BORDER_COLOR = 'grey'
DATE_COLOR = '#A9A9A9'
A5_WIDTH_IN = 5.83
A5_HEIGHT_IN = 8.27
NUM_COLS = 3

# --- 字体清单 ---
ALL_FONTS = {
    "思源黑体-常规 (推荐 LED 屏)": "SimHei.ttf",
    "思源黑体-重体 (推荐散场表)": "SourceHanSansOLD-Heavy-2.otf",
    "思源黑体-粗体": "SourceHanSansOLD-Bold-2.otf",
    "思源宋体-常规": "SourceHanSansCN-Normal.otf",
    "苹方-中黑": "PingFangSC-Medium.otf",
    "苹方-半粗": "PingFangSC-Semibold.otf",
    "苹方-极细": "PingFangSC-Ultralight.otf",
    "阿里巴巴普惠体-常规": "Alibaba-PuHuiTi.ttf",
    "阿里巴巴普惠体-粗体": "AlibabaPuHuiTi-Bold.otf",
    "阿里巴巴普惠体-重体": "AlibabaPuHuiTi-Heavy.otf",
}
AVAILABLE_FONTS = {name: fname for name, fname in ALL_FONTS.items() if os.path.exists(fname)}


# --- 字体加载与文本处理函数 ---

def get_font_properties(font_path, size=14):
    """通用字体加载函数"""
    if font_path and os.path.exists(font_path):
        return font_manager.FontProperties(fname=font_path, size=size)
    else:
        st.warning(f"警告：未找到字体文件 '{font_path}'，显示可能不正确。将使用默认字体。")
        return font_manager.FontProperties(family='sans-serif', size=size)


def get_pinyin_abbr(text):
    """获取中文文本前两个字的拼音首字母"""
    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):
    """将数字或字符转换为带圈序号 (①, ②, ③...)，非数字则直接返回"""
    try:
        n = int(n)
    except (ValueError, TypeError):
        return str(n)
    if n <= 0: return str(n)
    circled_chars = "①②③④⑤⑥⑦⑧⑨⑩⑪⑫⑬⑭⑮⑯⑰⑱⑲⑳㉑㉒㉓㉔㉕㉖㉗㉘㉙㉚㉛㉜㉝㉞㉟㊱㊲㊳㊴㊵㊶㊷㊸㊹㊺㊻㊼㊽㊾㊿"
    if 1 <= n <= 50: return circled_chars[n - 1]
    return f'({n})'


# --- 核心数据处理函数 ---

def process_unified_schedule(file, split_time_str, time_adjustment_minutes=0):
    """
    统一处理 '放映时间核对表.xls' 文件, 生成两种表格所需的数据。
    """
    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()

    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)
    except Exception as e:
        st.error(f"读取排期数据时出错: {e}。请检查文件格式是否为'放映时间核对表'。")
        return None, None, None, date_str

    # 'LED屏排片表' 数据处理
    led_df = df.copy()
    try:
        # **优化2**: 优先提取 'X号'，失败则取第一个字符 + '号'
        extracted = led_df['Hall'].astype(str).str.extract(r'(\d+号)')
        fallback = led_df['Hall'].astype(str).str[0] + '号'
        led_df['Hall'] = extracted[0].fillna(fallback)

        led_df['StartTime_dt'] = pd.to_datetime(led_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)
        led_df['EndTime_dt'] = pd.to_datetime(led_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)
        led_df.loc[led_df['EndTime_dt'] < led_df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
        led_df = led_df.sort_values(['Hall', 'StartTime_dt'])
        merged_rows = []
        for _, group in led_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')
        led_schedule_df = merged_df[['Hall', 'Seq', 'Movie', 'StartTime_str', 'EndTime_str']]
    except Exception as e:
        st.error(f"处理 'LED屏排片表' 数据时出错: {e}")
        led_schedule_df = None

    # '散场时间快捷打印' 数据处理
    times_df = df.copy()
    try:
        # **优化2**: 优先提取数字，失败则取第一个字符
        num_part = times_df['Hall'].str.extract(r'(\d+)')[0]
        char_part = times_df['Hall'].astype(str).str[0]
        times_df['Hall'] = num_part.fillna(char_part)
        times_df.dropna(subset=['Hall', 'StartTime', 'EndTime'], inplace=True)
        times_df['StartTime_dt'] = pd.to_datetime(times_df['StartTime'], format='%H:%M', errors='coerce').apply(
            lambda t: datetime.combine(base_date, t.time()) if pd.notnull(t) else pd.NaT)
        times_df['EndTime_dt'] = pd.to_datetime(times_df['EndTime'], format='%H:%M', errors='coerce').apply(
            lambda t: datetime.combine(base_date, t.time()) if pd.notnull(t) else pd.NaT)
        times_df.loc[times_df['EndTime_dt'] < times_df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)

        # **优化4**: 应用时间提前量
        if time_adjustment_minutes > 0:
            times_df['EndTime_dt'] -= timedelta(minutes=time_adjustment_minutes)

        business_start_dt = datetime.combine(base_date, datetime.strptime(BUSINESS_START, "%H:%M").time())
        business_end_dt = datetime.combine(base_date, datetime.strptime(BUSINESS_END, "%H:%M").time())
        if business_end_dt < business_start_dt: business_end_dt += timedelta(days=1)
        times_df = times_df[(times_df['EndTime_dt'] >= business_start_dt) & (times_df['EndTime_dt'] <= business_end_dt)]
        times_df = times_df.sort_values('EndTime_dt')
        split_dt = datetime.combine(base_date, split_time_str)
        part1 = times_df[times_df['EndTime_dt'] <= split_dt].copy()
        part2 = times_df[times_df['EndTime_dt'] > split_dt].copy()

        # **优化1**: 使用 %H:%M 保证两位小时
        part1['EndTime'] = part1['EndTime_dt'].dt.strftime('%H:%M')
        part2['EndTime'] = part2['EndTime_dt'].dt.strftime('%H:%M')

        times_part1_df = part1[['Hall', 'EndTime']]
        times_part2_df = part2[['Hall', 'EndTime']]
    except Exception as e:
        st.error(f"处理 '散场时间表' 数据时出错: {e}")
        times_part1_df, times_part2_df = None, None

    return led_schedule_df, times_part1_df, times_part2_df, date_str


# --- 'LED屏排片表' 布局生成函数 ---
def create_print_layout_led(data, date_str, font_path, generate_png=False):
    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)
    layout_rows = max(total_content_rows, 25)
    totalA = layout_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_properties(font_path, 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_properties(font_path, 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_properties(font_path, 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_properties(font_path, 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_properties(font_path, base_font_size_pt), ha='center', va='center')
            movie_font_size = base_font_size_pt
            movie_font_prop = get_font_properties(font_path, 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_properties(font_path, 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, line_end_x = margin_col_width, 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 = {}
    fig = plt.figure(figsize=(A4_width_in, A4_height_in), dpi=300)
    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, date_str, fontproperties=get_font_properties(font_path, 10),
            color=DATE_COLOR, ha='left', va='bottom', transform=ax.transData)
    draw_figure(fig, ax)
    pdf_buf = io.BytesIO()
    fig.savefig(pdf_buf, format='pdf', dpi=dpi, bbox_inches='tight', pad_inches=0)
    pdf_buf.seek(0)
    outputs['pdf'] = f"data:application/pdf;base64,{base64.b64encode(pdf_buf.getvalue()).decode()}"
    if generate_png:
        png_buf = io.BytesIO()
        fig.savefig(png_buf, format='png', dpi=dpi, bbox_inches='tight', pad_inches=0)
        png_buf.seek(0)
        outputs['png'] = f"data:image/png;base64,{base64.b64encode(png_buf.getvalue()).decode()}"
    plt.close(fig)
    return outputs


# --- '散场时间表' 布局生成函数 ---
def create_print_layout_times(data, title, date_str, font_path, size_multiplier=1.1, hall_format='Default',
                              generate_png=False):
    if data is None or data.empty: return None

    def generate_figure():
        total_items = len(data)
        num_rows = math.ceil(total_items / NUM_COLS) if total_items > 0 else 1
        data_area_height_in, cell_width_in = A5_HEIGHT_IN, A5_WIDTH_IN / NUM_COLS
        cell_height_in = data_area_height_in / num_rows
        target_width_pt, target_height_pt = (cell_width_in * 0.9) * 72, (cell_height_in * 0.9) * 72
        font_size_based_on_width = target_width_pt / (8 * 0.6)
        base_fontsize = min(font_size_based_on_width, target_height_pt) * size_multiplier
        fig = plt.figure(figsize=(A5_WIDTH_IN, A5_HEIGHT_IN), dpi=300)
        fig.subplots_adjust(left=0, right=1, top=1, bottom=0)
        gs = gridspec.GridSpec(num_rows, NUM_COLS, hspace=0, wspace=0, figure=fig)
        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):
            if item[0] and item[1]:
                row_in_col, col_idx = i % rows_per_col_layout, i // rows_per_col_layout
                new_index = row_in_col * NUM_COLS + col_idx
                if new_index < len(sorted_data): sorted_data[new_index] = item
        is_first_cell_with_data = True
        for idx, (hall, end_time) in enumerate(sorted_data):
            if hall and end_time:
                row_grid, col_grid = idx // NUM_COLS, idx % NUM_COLS
                ax = fig.add_subplot(gs[row_grid, col_grid])
                for spine in ax.spines.values():
                    spine.set_visible(True);
                    spine.set_linestyle((0, (1, 2)))
                    spine.set_color(BORDER_COLOR);
                    spine.set_linewidth(0.75)
                if is_first_cell_with_data:
                    ax.text(0.05, 0.95, f"{date_str} {title}",
                            fontproperties=get_font_properties(font_path, base_fontsize * 0.5), color=DATE_COLOR,
                            ha='left', va='top', transform=ax.transAxes)
                    is_first_cell_with_data = False
                if hall_format == 'Superscript':
                    display_text = f'${str(hall)}^{{\#}}$ {end_time}'
                elif hall_format == 'Circled':
                    display_text = f'{format_seq(hall)} {end_time}'
                else:  # Default
                    display_text = f"{str(hall)} {end_time}"
                ax.text(0.5, 0.5, display_text, fontproperties=get_font_properties(font_path, base_fontsize),
                        ha='center', va='center', transform=ax.transAxes)
                ax.set_xticks([]);
                ax.set_yticks([]);
                ax.set_facecolor('none')
        return fig

    fig_for_output = generate_figure()
    outputs = {}
    pdf_buffer = io.BytesIO()
    with PdfPages(pdf_buffer) as pdf:
        pdf.savefig(fig_for_output)
    pdf_buffer.seek(0)
    outputs['pdf'] = f"data:application/pdf;base64,{base64.b64encode(pdf_buffer.getvalue()).decode()}"
    if generate_png:
        png_buffer = io.BytesIO()
        fig_for_output.savefig(png_buffer, format='png')
        png_buffer.seek(0)
        outputs['png'] = f'data:image/png;base64,{base64.b64encode(png_buffer.getvalue()).decode()}'
    plt.close(fig_for_output)
    return outputs


def display_pdf(base64_pdf):
    """在Streamlit中嵌入显示PDF"""
    return f'<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>'


# --- Streamlit 主程序 ---
st.set_page_config(page_title="影院场次与散场时间快捷打印工具", layout="wide")
st.title("影院场次与散场时间快捷打印工具")

uploaded_file = st.file_uploader("请上传 `放映时间核对表.xls` 文件", type=["xls"])

with st.expander("⚙️ 显示与打印设置", expanded=False):
    col1, col2 = st.columns(2)
    with col1:
        st.subheader("⚙️ 修改 LED 屏排片表设置")
        led_font_name = st.selectbox("字体选择", options=list(AVAILABLE_FONTS.keys()), index=0, key="led_font")
        led_font_path = AVAILABLE_FONTS.get(led_font_name)
        generate_png_led = st.checkbox("生成 PNG 图片", value=False, key="png_led")
    with col2:
        st.subheader("⚙️ 散场时间表设置")
        times_font_name = st.selectbox("字体选择", options=list(AVAILABLE_FONTS.keys()), index=1, key="times_font")
        times_font_path = AVAILABLE_FONTS.get(times_font_name)
        # **优化5**: 调整字体大小范围
        font_size_multiplier = st.slider("字体大小调节", min_value=0.8, max_value=1.5, value=1.2, step=0.05,
                                         help="调整字体在单元格内的相对大小")
        split_time = st.time_input("白班 / 晚班分割时间", value=time(17, 0), help="散场时间在此时间点之前（含）的为白班")
        # **优化4**: 增加时间提前设置
        time_adjustment = st.slider("时间提前 (分钟)", min_value=0, max_value=10, value=0,
                                    help="将所有散场时间提前 N 分钟显示")
        hall_display_format = st.radio("影厅号格式", options=['Default', 'Superscript', 'Circled'],
                                       format_func=lambda x:
                                       {'Default': '默认 (2 18:28)', 'Superscript': '上标 (2# 18:28)',
                                        'Circled': '带圈 (② 18:28)'}[x], horizontal=True)
        generate_png_times = st.checkbox("生成 PNG 图片", value=False, key="png_times")

with st.expander("💡 使用帮助", expanded=False):
    st.markdown("""
    #### 🖨️ 功能简介
    本工具用于将影院的 `放映时间核对表.xls` 文件快速转换为两种形式的打印页：
    1.  **修改 LED 屏幕排片表打印**：A4 竖版，详细列出影厅、场次、影片名、拼音缩写和时间范围，方便员工在修改 LED 屏幕时快速查阅和输入。
    - 拼音缩写是为了在输入法如 QQ 拼音输入法等造词功能，拼音缩写填写快捷键，内容填写影片名字，更快捷输入。
    - 时间范围已经优化过了，默认提前了 10 分钟。
    2.  **散场时间打印**：A5 竖版，以大字体分栏显示各影厅的散场时间，方便员工在疏散人群和清洁影厅时查阅。
    - 内容分三列，顺序是每列从上到下。
    - 可以在设置里面设置提前如 5 分钟，到时间就可以前往影厅在疏散人群和清洁影厅。

    #### ⬇️ 操作步骤
    1.  **上传文件**：导出 `放映时间核对表.xls` 后，点击上方的 "Browse files" 按钮，选择您的 `放映时间核对表.xls` 文件。
    2.  **调整设置 (可选)**：点击上方的 "显示与打印设置" 打开设置面板，根据需要调整字体、大小、格式等。
    3.  **预览与打印**：
        *   上传成功后，下方会自动生成预览。
        *   默认显示 **PDF 预览**，这是最适合打印的格式。可以直接在预览界面点击 🖨️ 打印按钮，设置纸张大小即可打印。
        *   如果勾选了 "生成 PNG 图片"，可以切换到 **图片预览 (PNG)** 标签页查看或在新标签页中打开图片或下载图片后打印。
    """)

# --- 主页面逻辑 ---
if uploaded_file:
    with st.spinner("正在处理文件，请稍候..."):
        led_data, times_part1, times_part2, date_str = process_unified_schedule(uploaded_file, split_time,
                                                                                time_adjustment)

    st.toast(f"文件处理完成！排期日期：**{date_str}**", icon="🎉")

    # 显示 LED 屏排片表
    st.header("🖥️ 修改 LED 屏幕排片表打印")
    if led_data is not None and not led_data.empty:
        led_output = create_print_layout_led(led_data, date_str, led_font_path, generate_png_led)
        if led_output:
            tabs = ["PDF 预览"]
            if 'png' in led_output: tabs.append("PNG 预览")
            tab_views = st.tabs(tabs)
            with tab_views[0]:
                st.markdown(display_pdf(led_output['pdf']), unsafe_allow_html=True)
            if 'png' in led_output:
                with tab_views[1]: st.image(led_output['png'], use_container_width=True)
    else:
        st.error("未能成功生成 '修改 LED 屏排片表'。请检查文件内容或格式。")

    # 显示散场时间快捷打印
    st.header("🔚 散场时间打印")
    col1, col2 = st.columns(2)
    with col1:
        if times_part1 is not None and not times_part1.empty:
            part1_output = create_print_layout_times(times_part1, "A", date_str, times_font_path, font_size_multiplier,
                                                     hall_display_format, generate_png_times)
            if part1_output:
                # **优化3**: 更改Tab标题
                tabs1 = [f"白班 (≤ {split_time.strftime('%H:%M')}) PDF 预览"]
                if 'png' in part1_output: tabs1.append(f"白班 (≤ {split_time.strftime('%H:%M')}) PNG 预览")
                tab_views1 = st.tabs(tabs1)
                with tab_views1[0]:
                    st.markdown(display_pdf(part1_output['pdf']), unsafe_allow_html=True)
                if 'png' in part1_output:
                    with tab_views1[1]: st.image(part1_output['png'])
        else:
            st.info(f"白班 (≤ {split_time.strftime('%H:%M')}) 没有排期数据。")

    with col2:
        if times_part2 is not None and not times_part2.empty:
            part2_output = create_print_layout_times(times_part2, "C", date_str, times_font_path, font_size_multiplier,
                                                     hall_display_format, generate_png_times)
            if part2_output:
                # **优化3**: 更改Tab标题
                tabs2 = [f"晚班 (> {split_time.strftime('%H:%M')}) PDF 预览"]
                if 'png' in part2_output: tabs2.append(f"晚班 (> {split_time.strftime('%H:%M')}) PNG 预览")
                tab_views2 = st.tabs(tabs2)
                with tab_views2[0]:
                    st.markdown(display_pdf(part2_output['pdf']), unsafe_allow_html=True)
                if 'png' in part2_output:
                    with tab_views2[1]: st.image(part2_output['png'])
        else:
            st.info(f"晚班 (> {split_time.strftime('%H:%M')}) 没有排期数据。")
else:
    st.info("👆 请先上传文件以生成预览。")