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| 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 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 | |
| return font_manager.FontProperties(fname=font_path, size=size) | |
| def get_pinyin_abbr(text): | |
| """Generates a two-letter pinyin abbreviation from 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() | |
| def process_schedule(file): | |
| """Processes the uploaded Excel file to extract and clean movie schedule data.""" | |
| try: | |
| # Attempt to read the date from the Excel file | |
| 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: | |
| # Read the main schedule data | |
| df = pd.read_excel(file, header=9, usecols=[1, 2, 4, 5]) | |
| df.columns = ['Hall', 'StartTime', 'EndTime', 'Movie'] | |
| # Clean and process the data | |
| 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 _, 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() | |
| elif 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"Error processing file: {e}") | |
| return None, date_str | |
| def create_print_layout(data, date_str): | |
| """Creates the PNG and PDF print layouts from the processed schedule data.""" | |
| if data is None or data.empty: | |
| return None | |
| # --- Figure Setup for PNG and PDF --- | |
| 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): | |
| """Helper function to draw the schedule on a given matplotlib figure axis.""" | |
| # --- Dynamic Height and Font Size Calculation --- | |
| halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号', ''))) | |
| num_movies = len(data) | |
| num_separators = len(halls) - 1 if len(halls) > 1 else 0 | |
| # Total vertical slots = movies + separators + 2 for padding | |
| total_slots = num_movies + num_separators + 2 | |
| available_height = 0.96 # Usable page height (0.98 top - 0.02 bottom) | |
| line_height = available_height / total_slots | |
| # Convert figure line height to font points (72 points per inch) | |
| fig_height_inches = fig.get_figheight() | |
| font_size_pt = (fig_height_inches * line_height) * 72 * 0.90 # 90% of line height | |
| movie_font = get_font(font_size_pt) | |
| hall_font = get_font(font_size_pt) # Use the same size for impact | |
| date_font = get_font(12) | |
| ax.text(0.01, 0.99, date_str, fontsize=12, color='#A9A9A9', | |
| ha='left', va='top', fontproperties=date_font, transform=ax.transAxes) | |
| y_position = 0.98 | |
| for i, hall in enumerate(halls): | |
| hall_data = data[data['Hall'] == hall] | |
| hall_num_text = f"${hall.replace('号', '')}^{{\\#}}$" # Format hall number with # | |
| movie_count = 1 | |
| for _, row in hall_data.iterrows(): | |
| # --- Content Layout and Alignment --- | |
| # Hall number is printed only for the first movie of the hall | |
| if movie_count == 1: | |
| ax.text(0.03, y_position, hall_num_text, | |
| fontsize=font_size_pt, fontweight='bold', ha='left', va='top', | |
| fontproperties=hall_font, transform=ax.transAxes) | |
| pinyin_abbr = get_pinyin_abbr(row['Movie']) | |
| time_str = f"{row['StartTime_str']} - {row['EndTime_str']}" | |
| # Define x-coordinates for each column | |
| x_movie_name_end = 0.48 | |
| x_seq_no_start = 0.51 | |
| x_pinyin_start = 0.62 | |
| x_time_start = 0.75 | |
| # Movie Name (Right-aligned) | |
| ax.text(x_movie_name_end, y_position, row['Movie'], | |
| fontsize=font_size_pt, ha='right', va='top', | |
| fontproperties=movie_font, transform=ax.transAxes) | |
| # Sequence Number (Left-aligned) | |
| ax.text(x_seq_no_start, y_position, f"{movie_count}.", | |
| fontsize=font_size_pt, ha='left', va='top', | |
| fontproperties=movie_font, transform=ax.transAxes) | |
| # Pinyin Abbreviation (Left-aligned) | |
| ax.text(x_pinyin_start, y_position, pinyin_abbr, | |
| fontsize=font_size_pt, ha='left', va='top', | |
| fontproperties=movie_font, transform=ax.transAxes) | |
| # Time (Left-aligned) | |
| ax.text(x_time_start, y_position, time_str, | |
| fontsize=font_size_pt, ha='left', va='top', | |
| fontproperties=movie_font, transform=ax.transAxes) | |
| y_position -= line_height | |
| movie_count += 1 | |
| # --- Hall Separator Line --- | |
| if i < num_separators: | |
| # Draw a black line to separate halls | |
| ax.axhline(y=y_position + (line_height / 2), xmin=0.02, xmax=0.98, | |
| color='black', linewidth=0.8, transform=ax.transAxes) | |
| y_position -= line_height # Add space for the separator line | |
| # Generate both PNG and PDF outputs | |
| process_figure(png_fig, png_ax) | |
| process_figure(pdf_fig, pdf_ax) | |
| # Save PNG to a memory 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 a memory 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): | |
| """Embeds the PDF in the Streamlit app for display.""" | |
| pdf_display = f'<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>' | |
| return pdf_display | |
| # --- Streamlit App Main Interface --- | |
| 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。") |