app.py

import pandas as pd
import streamlit as st
from datetime import datetime, timedelta
import matplotlib.pyplot as plt
import io
import base64
import matplotlib.gridspec as gridspec
import math
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.font_manager as fm # 新增导入
import os # 新增导入

# --- 全局常量 ---
SPLIT_TIME = "17:30"
BUSINESS_START = "09:30"
BUSINESS_END = "01:30"
BORDER_COLOR = 'grey'
DATE_COLOR = '#A9A9A9'
FONT_PATH = 'SimHei.ttf' # 字体文件路径

# --- 字体设置 ---
FONT_BOLD = None
FONT_REGULAR = None
FONT_WARNING_ISSUED = False

def get_font_properties():
    """加载字体文件并返回 FontProperties 对象"""
    global FONT_BOLD, FONT_REGULAR, FONT_WARNING_ISSUED
    if FONT_BOLD is None: # 只加载一次
        if os.path.exists(FONT_PATH):
            try:
                FONT_BOLD = fm.FontProperties(fname=FONT_PATH, weight='bold')
                FONT_REGULAR = fm.FontProperties(fname=FONT_PATH, weight='normal')
            except Exception as e:
                if not FONT_WARNING_ISSUED:
                    st.warning(f"加载字体 '{FONT_PATH}' 失败: {e}. 将使用默认字体。")
                    FONT_WARNING_ISSUED = True
        else:
            if not FONT_WARNING_ISSUED:
                st.warning(f"字体文件 '{FONT_PATH}' 未找到。请将其放置在代码同目录下。将使用默认字体。")
                FONT_WARNING_ISSUED = True

def get_font_args(style='regular'):
    """根据请求的样式返回字体参数字典"""
    get_font_properties() # 确保字体已加载
    if style == 'bold' and FONT_BOLD:
        return {'fontproperties': FONT_BOLD}
    if style == 'regular' and FONT_REGULAR:
        return {'fontproperties': FONT_REGULAR}
    # Fallback
    return {'fontfamily': 'sans-serif', 'weight': 'bold' if style == 'bold' else 'normal'}


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)
        
        # 提取所需列 (G9, H9, J9)
        df = df.iloc[:, [6, 7, 9]]  # G, H, J 列
        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 = 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')
        
        # 关键修改：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
        )
        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):
    """创建基于精确表格布局的打印页面 (PNG 和 PDF)"""
    if data.empty:
        return None

    # --- 1. 布局和尺寸计算 ---
    A5_WIDTH_IN, A5_HEIGHT_IN = 5.83, 8.27
    DPI = 300
    MARGIN = 0.25 # 页边距 (英寸)
    HEADER_HEIGHT_IN = 0.3 # 日期标题栏高度 (英寸)

    content_width = A5_WIDTH_IN - (2 * MARGIN)
    content_height = A5_HEIGHT_IN - (2 * MARGIN)
    
    total_items = len(data)
    num_cols = 3
    num_rows = math.ceil(total_items / num_cols)
    
    grid_height = content_height - HEADER_HEIGHT_IN
    cell_width = content_width / num_cols
    cell_height = grid_height / num_rows if num_rows > 0 else 0

    # --- 2. 动态字体大小计算 ---
    def calculate_font_size(fig):
        # 使用一个典型的宽字符串来估算
        sample_text = "8 88:88" 
        target_width = cell_width * 0.9  # 目标宽度为单元格宽度的90%
        
        # 用初始字号10来测量
        initial_fontsize = 10
        t = fig.text(0.5, 0.5, sample_text, fontsize=initial_fontsize, **get_font_args('bold'))
        # 渲染并获取边界框（以英寸为单位）
        bbox = t.get_window_extent(renderer=fig.canvas.get_renderer())
        text_width_in = bbox.width / fig.get_dpi()
        t.remove() # 移除临时文本
        
        # 根据宽度比例调整字体大小
        if text_width_in > 0:
            scale_factor = target_width / text_width_in
            return initial_fontsize * scale_factor
        return initial_fontsize # 备用

    # --- 3. 数据准备 (Z字形排序) ---
    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 = i % rows_per_col_layout
            col_idx = 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

    # --- 4. 绘图 ---
    fig = plt.figure(figsize=(A5_WIDTH_IN, A5_HEIGHT_IN), dpi=DPI)
    final_fontsize = calculate_font_size(fig)
    index_fontsize = final_fontsize * 0.35
    date_fontsize = final_fontsize * 0.5
    
    # 绘制日期头
    header_ax = fig.add_axes([MARGIN / A5_WIDTH_IN, (A5_HEIGHT_IN - MARGIN - HEADER_HEIGHT_IN) / A5_HEIGHT_IN, content_width / A5_WIDTH_IN, HEADER_HEIGHT_IN / A5_HEIGHT_IN])
    header_ax.text(0.01, 0.5, f"{date_str} {title}",
                     fontsize=date_fontsize,
                     color=DATE_COLOR,
                     ha='left',
                     va='center',
                     transform=header_ax.transAxes,
                     **get_font_args('bold'))
    header_ax.set_axis_off()
    
    # 绘制每个单元格
    for idx, (hall, end_time) in enumerate(sorted_data):
        if hall and end_time:
            row_grid = idx // num_cols
            col_grid = idx % num_cols

            # 计算单元格的绝对位置（从左下角开始，单位：英寸）
            x_pos_in = MARGIN + (col_grid * cell_width)
            y_pos_in = MARGIN + ( (num_rows - 1 - row_grid) * cell_height )
            
            # 转换为 Figure 的相对坐标 [left, bottom, width, height]
            ax_rect = [x_pos_in / A5_WIDTH_IN, y_pos_in / A5_HEIGHT_IN, cell_width / A5_WIDTH_IN, cell_height / A5_HEIGHT_IN]
            ax = fig.add_axes(ax_rect)

            # 绘制主要文本
            display_text = f"{hall}{end_time}"
            ax.text(0.5, 0.5, display_text,
                      fontsize=final_fontsize,
                      ha='center',
                      va='center',
                      transform=ax.transAxes,
                      **get_font_args('bold'))
            
            # 绘制左上角序号
            ax.text(0.08, 0.92, str(idx + 1),
                      fontsize=index_fontsize,
                      color=BORDER_COLOR,
                      ha='left',
                      va='top',
                      transform=ax.transAxes,
                      **get_font_args('regular'))

            # 设置边框为灰色点状虚线
            for spine in ax.spines.values():
                spine.set_color(BORDER_COLOR)
                spine.set_linestyle(':')
                spine.set_linewidth(1)
            
            ax.set_xticks([])
            ax.set_yticks([])

    # --- 5. 保存到内存 ---
    # 保存 PNG
    png_buffer = io.BytesIO()
    fig.savefig(png_buffer, format='png', pad_inches=0)
    png_buffer.seek(0)
    png_base64 = base64.b64encode(png_buffer.getvalue()).decode()
    
    # 保存 PDF
    pdf_buffer = io.BytesIO()
    fig.savefig(pdf_buffer, format='pdf', pad_inches=0)
    pdf_buffer.seek(0)
    pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
    
    plt.close(fig)

    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

# --- 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")

# 检查并加载字体，如有需要会显示警告
get_font_properties()

uploaded_file = st.file_uploader("上传【放映场次核对表.xls】文件", type=["xls"])

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'])
            else:
                st.info("夜班部分没有数据")