import pandas as pd import streamlit as st import matplotlib.pyplot as plt import matplotlib.font_manager as font_manager import io import base64 import os from datetime import datetime, timedelta import math from pypinyin import lazy_pinyin, Style from matplotlib.backends.backend_pdf import PdfPages import matplotlib.gridspec as gridspec from matplotlib.patches import FancyBboxPatch # --- Constants for "Quick Print" (放映场次核对表) --- SPLIT_TIME = "17:30" BUSINESS_START = "09:30" BUSINESS_END = "01:30" BORDER_COLOR = '#A9A9A9' DATE_COLOR = '#A9A9A9' # --- Helper functions for "LED Screen" (放映时间核对表) --- def get_font(size=14): """Loads a specific font file, falling back to a default if not found.""" font_path = "simHei.ttc" if not os.path.exists(font_path): font_path = "SimHei.ttf" # Fallback font # Add a final fallback for systems without Chinese fonts try: return font_manager.FontProperties(fname=font_path, size=size) except RuntimeError: # If the font file is not found, use a default font that should exist. # This will likely not render Chinese characters correctly but prevents crashing. 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 "" # Extract the first two Chinese characters chars = [c for c in text if '\u4e00' <= c <= '\u9fff'] chars = chars[:2] # Get the first letter of the pinyin for each character pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER) return ''.join(pinyin_list).upper() # --- Processing logic for "LED Screen" (放映时间核对表) --- def process_schedule_led(file): """Processes the '放映时间核对表.xls' file.""" try: # Attempt to read the date from a specific cell 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: # Fallback to the current date if reading fails 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) df['Hall'] = df['Hall'].astype(str).str.extract(r'(\d+号)') # Convert times to datetime objects, handling overnight screenings 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']) # Merge consecutive screenings of the same movie merged_rows = [] for hall, group in df.groupby('Hall'): group = group.sort_values('StartTime_dt') current = None for _, row in group.iterrows(): if current is None: current = row.copy() else: if 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) # Adjust start and end times merged_df['StartTime_dt'] = merged_df['StartTime_dt'] - timedelta(minutes=10) merged_df['EndTime_dt'] = merged_df['EndTime_dt'] - timedelta(minutes=5) 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', 'Movie', 'StartTime_str', 'EndTime_str']], date_str except Exception as e: st.error(f"An error occurred during file processing: {e}") return None, date_str # --- Layout generation for "LED Screen" (放映时间核对表) --- def create_print_layout_led(data, date_str): """Generates PNG and PDF layouts for the 'LED Screen' schedule.""" if data is None or data.empty: return None # Create figures for PNG and PDF output with A4 dimensions png_fig = plt.figure(figsize=(8.27, 11.69), dpi=300) png_ax = png_fig.add_subplot(111) png_ax.set_axis_off() png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02) pdf_fig = plt.figure(figsize=(8.27, 11.69), dpi=300) pdf_ax = pdf_fig.add_subplot(111) pdf_ax.set_axis_off() pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02) def process_figure(fig, ax): halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')) if h else 0) num_separators = len(halls) - 1 total_layout_rows = len(data) + num_separators + 2 available_height = 0.96 row_height = available_height / total_layout_rows fig_height_inches = fig.get_figheight() row_height_points = row_height * fig_height_inches * 72 font_size = row_height_points * 0.9 date_font = get_font(font_size * 0.8) hall_font = get_font(font_size) movie_font = get_font(font_size) col_hall_left = 0.0 col_movie_right = 0.50 col_seq_left = 0.52 col_pinyin_left = 0.62 col_time_left = 0.75 ax.text(col_hall_left, 0.99, date_str, color='#A9A9A9', ha='left', va='top', fontproperties=date_font, transform=ax.transAxes) y_position = 0.98 - row_height for i, hall in enumerate(halls): hall_data = data[data['Hall'] == hall] if i > 0: ax.axhline(y=y_position + row_height / 2, xmin=col_hall_left, xmax=0.97, color='black', linewidth=0.7) y_position -= row_height movie_count = 1 for _, row in hall_data.iterrows(): if movie_count == 1: ax.text(col_hall_left, y_position, f"{hall.replace('号', '')}#", ha='left', va='center', fontweight='bold', fontproperties=hall_font, transform=ax.transAxes) ax.text(col_movie_right, y_position, row['Movie'], ha='right', va='center', fontproperties=movie_font, transform=ax.transAxes) ax.text(col_seq_left, y_position, f"{movie_count}.", ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes) pinyin_abbr = get_pinyin_abbr(row['Movie']) ax.text(col_pinyin_left, y_position, pinyin_abbr, ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes) ax.text(col_time_left, y_position, f"{row['StartTime_str']}-{row['EndTime_str']}", ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes) y_position -= row_height movie_count += 1 process_figure(png_fig, png_ax) process_figure(pdf_fig, pdf_ax) png_buffer = io.BytesIO() png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.05) png_buffer.seek(0) image_base64 = base64.b64encode(png_buffer.getvalue()).decode() plt.close(png_fig) pdf_buffer = io.BytesIO() with PdfPages(pdf_buffer) as pdf: pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.05) pdf_buffer.seek(0) pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode() plt.close(pdf_fig) return { 'png': f"data:image/png;base64,{image_base64}", 'pdf': f"data:application/pdf;base64,{pdf_base64}" } # --- Processing logic for "Quick Print" (放映场次核对表) --- def process_schedule_quick(file): """Processes the '放映场次核对表.xls' file.""" try: df = pd.read_excel(file, skiprows=8) df = df.iloc[:, [6, 7, 9]] df.columns = ['Hall', 'StartTime', 'EndTime'] df = df.dropna(subset=['Hall', 'StartTime', 'EndTime']) df['Hall'] = df['Hall'].str.extract(r'(\d+)号').astype(str) + ' ' base_date = datetime.today().date() df['StartTime'] = pd.to_datetime(df['StartTime']) df['EndTime'] = pd.to_datetime(df['EndTime']) 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") if business_end < business_start: business_end += timedelta(days=1) 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) 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] df = df.sort_values('EndTime') split_time_dt = datetime.strptime(f"{base_date} {SPLIT_TIME}", "%Y-%m-%d %H:%M") part1 = df[df['time_for_comparison'] <= split_time_dt].copy() part2 = df[df['time_for_comparison'] > split_time_dt].copy() for part in [part1, part2]: part['EndTime'] = part['EndTime'].dt.strftime('%-H:%M') date_df = pd.read_excel(file, skiprows=5, nrows=1, usecols=[2], header=None) date_cell = date_df.iloc[0, 0] try: 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 # --- Layout generation for "Quick Print" (放映场次核对表) --- def create_print_layout_quick(data, title, date_str): """Creates print layout for the 'Quick Print' schedule.""" if data.empty: return None png_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5 png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02) pdf_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5 pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02) def process_figure(fig, is_pdf=False): plt.rcParams['font.family'] = 'sans-serif' plt.rcParams['font.sans-serif'] = ['Arial Unicode MS', 'Heiti TC', 'SimHei'] 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) 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() 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 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}" 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 ax.set_xticks([]) ax.set_yticks([]) 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') process_figure(png_fig) process_figure(pdf_fig, is_pdf=True) 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) 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}' } # --- Generic Helper to Display PDF --- def display_pdf(base64_pdf): """Generates the HTML to embed and display a PDF in Streamlit.""" pdf_display = f""" """ return pdf_display # --- Main Streamlit App --- st.set_page_config(page_title="影院排期打印工具", layout="wide") st.title("影院排期打印工具") uploaded_file = st.file_uploader( "选择【放映时间核对表.xls】或【放映场次核对表.xls】文件", accept_multiple_files=False, type=["xls"] ) if uploaded_file: with st.spinner("文件正在处理中，请稍候..."): # --- Route to the correct processor based on filename --- # 1. Logic for "LED 屏幕时间表打印" if "放映时间核对表" in uploaded_file.name: st.subheader("LED 屏幕时间表") schedule, date_str = process_schedule_led(uploaded_file) if schedule is not None: output = create_print_layout_led(schedule, date_str) if output: tab1, tab2 = st.tabs(["PDF 预览", "PNG 预览"]) 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("没有可显示的数据。") else: st.error("无法处理文件，请检查文件格式或内容是否正确。") # 2. Logic for "散厅时间快捷打印" elif "放映场次核对表" in uploaded_file.name: part1_data, part2_data, date_str = process_schedule_quick(uploaded_file) if part1_data is not None and part2_data is not None: part1_output = create_print_layout_quick(part1_data, "A", date_str) part2_output = create_print_layout_quick(part2_data, "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 "]) # Added space to make keys unique 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 "]) # Added spaces to make keys unique 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") else: st.error("无法处理文件，请检查文件格式或内容是否正确。") # 3. Fallback for incorrect file else: st.warning("文件名不匹配。请上传名为【放映时间核对表.xls】或【放映场次核对表.xls】的文件。")