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): """Finds an available SimHei font for Chinese character support.""" 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 movie schedule data.""" try: # Try to read the date from the specified 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: 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 Exception as e: st.error(f"An error occurred during data processing: {e}") return None, date_str def create_print_layout(data, date_str): """Creates PNG and PDF layouts of the schedule, replacing boxes with separator lines.""" if data is None or data.empty: return None # --- Create figures 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): # --- Font and Layout Setup --- date_font = get_font(12) # Increased font size to better fill the page font_size_multiplier = 1.3 movie_font_size = 14 * font_size_multiplier hall_font_size = movie_font_size * 0.8 hall_font = get_font(hall_font_size) movie_font = get_font(movie_font_size) ax.text(0.00, 1.00, date_str, fontsize=12 * font_size_multiplier, 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) # --- Dynamic Layout Calculation --- num_movie_lines = len(data) num_gaps = len(halls) - 1 total_lines = num_movie_lines + num_gaps if num_gaps > 0 else num_movie_lines available_height = 0.95 # Use 95% of vertical space y_start = 0.98 line_height = available_height / total_lines if total_lines > 0 else 0.04 y_position = y_start # --- Drawing Loop --- for i, hall in enumerate(halls): hall_data = data[data['Hall'] == hall] hall_num = hall.replace("号", "") hall_text = f"${hall_num}^{{\\#}}$" for movie_idx, (_, row) in enumerate(hall_data.iterrows()): # Print hall number (only for the first movie in the block) if movie_idx == 0: 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']) # Print movie name ax.text(0.20, y_position, f"{movie_idx + 1}. {pinyin_abbr} {row['Movie']}", fontsize=movie_font_size, ha='left', va='top', fontproperties=movie_font, transform=ax.transAxes, zorder=2, clip_on=True, bbox=dict(boxstyle="square,pad=0.0", fc="none", ec="none", alpha=0)) # Print time information ax.text(0.95, y_position, f"{row['StartTime_str']} - {row['EndTime_str']}", fontsize=movie_font_size, ha='right', va='top', fontproperties=movie_font, transform=ax.transAxes, zorder=2) y_position -= line_height # After a hall's movies, add a black separator line if i < len(halls) - 1: # The line is drawn in the middle of the allocated gap space line_y = y_position + (line_height / 2) ax.plot([0.03, 0.97], [line_y, line_y], color='black', linewidth=1, transform=ax.transAxes, zorder=1) # Move position down to account for the gap y_position -= line_height # --- Process and Save Figures --- process_figure(png_fig, png_ax) process_figure(pdf_fig, pdf_ax) # 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): """Embeds the PDF in an iframe for display in Streamlit.""" pdf_display = f'' return pdf_display # --- Streamlit App UI --- st.set_page_config(page_title="LED Screen Schedule Print", layout="wide") st.title("LED Screen Schedule Print") uploaded_file = st.file_uploader("Select 'Screening Time Checklist.xls' file", type=["xls"]) if uploaded_file: with st.spinner("Processing file, please wait..."): schedule, date_str = process_schedule(uploaded_file) if schedule is not None and not schedule.empty: output = create_print_layout(schedule, date_str) # Create tabs for PDF and PNG previews tab1, tab2 = st.tabs(["PDF Preview", "PNG Preview"]) 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("Could not process the file. Please check if the file format or content is correct.")