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 math
from matplotlib.backends.backend_pdf import PdfPages
from matplotlib.patches import Rectangle # Replaced FancyBboxPatch

# --- Constants ---
SPLIT_TIME = "17:30"
BUSINESS_START = "09:30"
BUSINESS_END = "01:30"
BORDER_COLOR = '#CCCCCC' # Light gray for dotted border
DATE_COLOR = '#A9A9A9'
A5_WIDTH_INCH = 5.83
A5_HEIGHT_INCH = 8.27


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('%-I:%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
        )
        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):
    """创建符合新设计要求的打印布局 (PNG 和 PDF)"""
    if data.empty:
        return None

    # --- 1. 初始化 Figure ---
    fig = plt.figure(figsize=(A5_WIDTH_INCH, A5_HEIGHT_INCH), dpi=300)
    # 使用整个figure区域，手动控制所有边距
    fig.subplots_adjust(left=0, right=1, top=1, bottom=0)

    plt.rcParams['font.family'] = 'sans-serif'
    plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']

    # --- 2. 数据准备和布局计算 ---
    total_items = len(data)
    num_cols = 3
    data_rows = math.ceil(total_items / num_cols)
    if data_rows == 0: data_rows = 1 # 避免除以零

    # 为header分配固定高度 (占总高度的8%), 剩余为数据区
    header_height_norm = 0.08
    data_area_height_norm = 1.0 - header_height_norm

    # 每个数据单元格的尺寸 (标准化坐标, 0-1)
    cell_height_norm = data_area_height_norm / data_rows
    cell_width_norm = 1.0 / num_cols
    
    # 根据单元格高度计算留白距离 (高度的 1/4 作为边距)
    # 这将被用作单元格内部的padding
    spacing_norm_y = cell_height_norm / 4
    spacing_norm_x = cell_width_norm / 4 # 对称的边距

    # 准备数据 (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

    # --- 3. 绘制元素 ---

    # 绘制页眉 (日期和标题)
    ax_date = fig.add_axes([0, data_area_height_norm, 1, header_height_norm])
    ax_date.text(0.02, 0.5, f"{date_str} {title}",
                 fontsize=12, color=DATE_COLOR, fontweight='bold',
                 ha='left', va='center', transform=ax_date.transAxes)
    ax_date.set_axis_off()

    # 动态计算主字体大小，使其适应单元格高度
    # 1英寸 = 72点。字体大小占单元格高度的40%左右
    base_fontsize = (cell_height_norm * A5_HEIGHT_INCH) * 72 * 0.4

    # 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
            col_grid = idx % num_cols

            # 计算单元格(Axes)的位置和尺寸
            ax_left = col_grid * cell_width_norm
            # Y坐标从下往上，所以要从数据区顶部开始往下减
            ax_bottom = data_area_height_norm - (row_grid + 1) * cell_height_norm
            
            ax = fig.add_axes([ax_left, ax_bottom, cell_width_norm, cell_height_norm])
            ax.set_axis_off()

            # 要求 2 & 3: 创建点状虚线边框和呼吸感
            # 通过在Axes内部绘制一个稍小的矩形来实现
            border_padding_x = spacing_norm_x / 2
            border_padding_y = spacing_norm_y / 2
            
            border_rect = Rectangle(
                (border_padding_x, border_padding_y),             # 左下角坐标 (x,y)
                1 - 2 * border_padding_x,                         # 宽度
                1 - 2 * border_padding_y,                         # 高度
                transform=ax.transAxes,
                edgecolor=BORDER_COLOR,
                facecolor='none',
                linestyle=':',  # 点状虚线
                linewidth=2     # 让点更明显
            )
            ax.add_patch(border_rect)

            # 要求 4: 在左上角添加序号
            ax.text(border_padding_x + 0.02, 1 - border_padding_y - 0.02, str(idx + 1),
                    fontsize=base_fontsize * 0.3, # 序号字体较小
                    color='grey',
                    ha='left', va='top',
                    transform=ax.transAxes)

            # 要求 3: 居中显示主要文本
            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)

    # --- 4. 保存到内存 ---
    # 保存为 PNG
    png_buffer = io.BytesIO()
    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()

    # 保存为 PDF
    pdf_buffer = io.BytesIO()
    with PdfPages(pdf_buffer) as pdf:
        pdf.savefig(fig, bbox_inches='tight', pad_inches=0.02)
    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 (无变化) ---
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")

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")