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
from matplotlib.patches import FancyBboxPatch

# --- Constants ---
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"""
    try:
        # 读取 Excel，跳过前 8 行
        df = pd.read_excel(file, skiprows=8)
        
        # 提取所需列 (G, H, J)
        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:
                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.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 = 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
        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_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"""
    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.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.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

        total_items = len(data)
        num_cols = 3
        num_rows = math.ceil(total_items / num_cols)

        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  
        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))

        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

        # 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
                col_grid = idx % num_cols

                if row_grid < num_rows + 1:
                    ax = fig.add_subplot(gs[row_grid, col_grid])
                    for spine in ax.spines.values():
                        spine.set_visible(False)

                    bbox = FancyBboxPatch(
                        (0.01, 0.01), 0.98, 0.98,
                        boxstyle="round,pad=0,rounding_size=0.02",
                        edgecolor=BORDER_COLOR, facecolor='none',
                        linewidth=0.5, transform=ax.transAxes, clip_on=False
                    )
                    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)
                    
                    current_size = 120
                    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,
                     color=DATE_COLOR, fontweight='bold',
                     ha='left', va='center', transform=ax_date.transAxes)
        for spine in ax_date.spines.values():
            spine.set_visible(False)
        ax_date.set_xticks([])
        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)
    pdf_buffer.seek(0)
    pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
    plt.close(pdf_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")

uploaded_file = st.file_uploader("上传【放映场次核对表.xls】文件", 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'])
            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'])
            else:
                st.info("夜班部分没有数据")