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 def get_font(size=14): """Loads a font file, searching for common names.""" font_path = "simHei.ttc" if not os.path.exists(font_path): font_path = "SimHei.ttf" return font_manager.FontProperties(fname=font_path, 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'] if len(chars) < 2: chars = chars + [''] * (2 - len(chars)) else: chars = chars[:2] # Get the first letter of the Pinyin pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER) return ''.join(pinyin_list).upper() def process_schedule(file): """Processes the uploaded Excel file to extract and clean schedule data.""" try: # Try 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: # Fallback to the current date if reading fails date_str = datetime.today().strftime('%Y-%m-%d') base_date = datetime.today().date() try: # Read the main schedule data 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 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 ) # Handle overnight screenings 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: return None, date_str def create_print_layout(data, date_str): """Creates the PNG and PDF print layouts from the schedule data.""" if data is None or data.empty: return None # Create PNG image for preview 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) # Create PDF image for download 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, is_pdf=False): """Shared function to draw the schedule on a matplotlib figure.""" date_font = get_font(12) # Calculate row height to fill the page total_movies = len(data) # Add 2 to the total to create top and bottom margins total_divisions = total_movies + 2 available_height_ax = 0.98 - 0.02 # Use 96% of the page height row_height_ax = available_height_ax / total_divisions # Convert relative height to point size for fonts fig_height_pts = fig.get_figheight() * 72 row_height_pts = row_height_ax * fig_height_pts # Set font size to 90% of the calculated row height font_size = row_height_pts * 0.9 hall_font_size = font_size * 0.8 hall_font = get_font(hall_font_size) movie_font = get_font(font_size) # Add date stamp to the top left ax.text(0.00, 1.00, date_str, fontsize=12, color='#A9A9A9', ha='left', va='top', fontproperties=date_font, transform=ax.transAxes, zorder=2) halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')) if h else 0) # Start drawing from the top, leaving one row_height as a margin y_position = 0.98 - row_height_ax for i, hall in enumerate(halls): hall_data = data[data['Hall'] == hall] hall_num = hall.replace("号", "") hall_text = f"${hall_num}^{{\\#}}$" movie_count = 1 for _, row in hall_data.iterrows(): # Hall Number (left-aligned) if movie_count == 1: ax.text(0.03, y_position, hall_text, fontsize=hall_font_size, fontweight='bold', ha='left', va='top', fontproperties=hall_font, transform=ax.transAxes, zorder=2) pinyin_abbr = get_pinyin_abbr(row['Movie']) # New content order and alignment # 1. Movie Name (right-aligned) ax.text(0.55, y_position, row['Movie'], fontsize=font_size, ha='right', va='top', fontproperties=movie_font, transform=ax.transAxes, zorder=2) # 2. Sequence Number (left-aligned) ax.text(0.57, y_position, f"{movie_count}.", fontsize=font_size, ha='left', va='top', fontproperties=movie_font, transform=ax.transAxes, zorder=2) # 3. Pinyin Abbreviation (left-aligned) ax.text(0.63, y_position, pinyin_abbr, fontsize=font_size, ha='left', va='top', fontproperties=movie_font, transform=ax.transAxes, zorder=2) # 4. Time (left-aligned) ax.text(0.72, y_position, f"{row['StartTime_str']} - {row['EndTime_str']}", fontsize=font_size, ha='left', va='top', fontproperties=movie_font, transform=ax.transAxes, zorder=2) y_position -= row_height_ax movie_count += 1 # Draw a black line to separate halls if i < len(halls) - 1: line_y = y_position + (row_height_ax / 2) ax.plot([0.03, 0.97], [line_y, line_y], color='black', linewidth=1, transform=ax.transAxes, zorder=1) # Process both the PNG and PDF figures process_figure(png_fig, png_ax) process_figure(pdf_fig, pdf_ax, is_pdf=True) # Save PNG to buffer 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) # Save PDF to buffer 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}" } def display_pdf(base64_pdf): """Generates the HTML to embed a PDF in Streamlit.""" pdf_display = f""" """ return pdf_display # --- Streamlit App --- st.set_page_config(page_title="LED 屏幕时间表打印", layout="wide") st.title("LED 屏幕时间表打印") uploaded_file = st.file_uploader("选择打开【放映时间核对表.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..."): schedule, date_str = process_schedule(uploaded_file) if schedule is not None: output = create_print_layout(schedule, date_str) # Create tabs for PDF and PNG previews 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.error("无法处理文件，请检查文件格式或内容是否正确。")