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Update app.py
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app.py
CHANGED
@@ -6,64 +6,64 @@ import io
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import base64
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import os
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from datetime import datetime, timedelta
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import math
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from matplotlib.patches import FancyBboxPatch
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from pypinyin import lazy_pinyin, Style
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from matplotlib.backends.backend_pdf import PdfPages
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def get_font(size=14):
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"""Loads the SimHei font for Chinese character support."""
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font_path = "simHei.ttc"
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if not os.path.exists(font_path):
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# Fallback for different OS or font naming
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font_path = "SimHei.ttf"
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if not os.path.exists(font_path):
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# If font is still not found, return None and let matplotlib use its default
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st.warning(f"Font file not found at {font_path}. Chinese characters may not display correctly.")
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return None
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return font_manager.FontProperties(fname=font_path, size=size)
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def get_pinyin_abbr(text):
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"""
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if not text:
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return ""
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#
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chars = [c for c in text if '\u4e00' <= c <= '\u9fff']
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else:
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chars = chars[:2]
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# 获取拼音首字母
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pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER)
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return ''.join(pinyin_list).upper()
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def process_schedule(file):
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"""Processes the uploaded Excel file to extract and clean schedule data."""
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try:
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date_df = pd.read_excel(file, header=None, skiprows=7, nrows=1, usecols=[3])
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date_str = pd.to_datetime(date_df.iloc[0, 0]).strftime('%Y-%m-%d')
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base_date = pd.to_datetime(date_str).date()
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except Exception:
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date_str = datetime.today().strftime('%Y-%m-%d')
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base_date = datetime.today().date()
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try:
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df = pd.read_excel(file, header=9, usecols=[1, 2, 4, 5])
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df.columns = ['Hall', 'StartTime', 'EndTime', 'Movie']
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df['Hall'] = df['Hall'].ffill()
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df.dropna(subset=['StartTime', 'EndTime', 'Movie'], inplace=True)
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df['Hall'] = df['Hall'].astype(str).str.extract(r'(\d+号)')
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df['StartTime_dt'] = pd.to_datetime(df['StartTime'], format='%H:%M', errors='coerce').apply(
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lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
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)
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df['EndTime_dt'] = pd.to_datetime(df['EndTime'], format='%H:%M', errors='coerce').apply(
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lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
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)
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df.loc[df['EndTime_dt'] < df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
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df = df.sort_values(['Hall', 'StartTime_dt'])
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merged_rows = []
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for
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group = group.sort_values('StartTime_dt')
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current = None
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for _, row in group.iterrows():
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current = row.copy()
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else:
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if row['Movie'] == current['Movie']:
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current['EndTime_dt'] = row['EndTime_dt']
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else:
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merged_rows.append(current)
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current = row.copy()
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merged_df = pd.DataFrame(merged_rows)
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#
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merged_df['StartTime_dt'] = merged_df['StartTime_dt'] - timedelta(minutes=10)
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merged_df['EndTime_dt'] = merged_df['EndTime_dt'] - timedelta(minutes=5)
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merged_df['StartTime_str'] = merged_df['StartTime_dt'].dt.strftime('%H:%M')
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merged_df['EndTime_str'] = merged_df['EndTime_dt'].dt.strftime('%H:%M')
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return merged_df[['Hall', 'Movie', 'StartTime_str', 'EndTime_str']], date_str
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except Exception
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st.error(f"Error processing schedule data: {e}")
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return None, date_str
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def create_print_layout(data, date_str):
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"""Generates the print
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if data is None or data.empty:
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return None
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# Create figures for PNG and PDF output
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png_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
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png_ax = png_fig.add_subplot(111)
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png_ax.set_axis_off()
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@@ -108,81 +108,79 @@ def create_print_layout(data, date_str):
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pdf_ax.set_axis_off()
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pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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def process_figure(fig, ax
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"""
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# Sort halls numerically
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halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号', '')) if h and h.replace('号', '').isdigit() else 0)
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num_halls = len(halls)
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num_movie_rows = len(data)
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# 1. Calculate total vertical slots required to fill the page
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num_separators = num_halls - 1 if num_halls > 1 else 0
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total_slots = num_movie_rows + num_separators + 2 # movies + separators + top/bottom padding
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if total_slots == 0: return
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#
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date_font = get_font(12)
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hall_font = get_font(hall_font_size)
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movie_font = get_font(movie_font_size)
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# Draw the date at the top
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ax.text(0.00, 1.00, date_str, fontsize=12, color='#A9A9A9',
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ha='left', va='top', fontproperties=date_font, transform=ax.transAxes, zorder=3)
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#
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# 5. Loop through each hall and its movies to draw the schedule
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for i, hall in enumerate(halls):
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hall_data = data[data['Hall'] == hall]
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movie_count = 1
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for _, row in hall_data.iterrows():
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#
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if
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ax.text(0.
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# Draw Time Information
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ax.text(0.95, y_position, f"{row['StartTime_str']} - {row['EndTime_str']}",
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fontsize=movie_font_size, ha='right', va='top', fontproperties=movie_font,
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transform=ax.transAxes, zorder=2)
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y_position -=
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movie_count += 1
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#
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if i <
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# The line is drawn in the middle of the
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line_y = y_position
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ax.
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y_position -= slot_height # Move down past the separator slot
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# Process
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process_figure(png_fig, png_ax)
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process_figure(pdf_fig, pdf_ax
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# Save PNG to a buffer
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png_buffer = io.BytesIO()
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# Save PDF to a buffer
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pdf_buffer = io.BytesIO()
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with PdfPages(pdf_buffer) as pdf:
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pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.05)
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pdf_buffer.seek(0)
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pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
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}
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def display_pdf(base64_pdf):
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"""
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<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>
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"""
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return pdf_display
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# --- Streamlit App
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st.set_page_config(page_title="LED 屏幕时间表打印", layout="wide")
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st.title("LED 屏幕时间表打印")
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uploaded_file = st.file_uploader("选择打开【放映时间核对表.xls】文件",
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if uploaded_file:
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with st.spinner("文件正在处理中,请稍候..."):
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schedule, date_str = process_schedule(uploaded_file)
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if schedule is not None
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output = create_print_layout(schedule, date_str)
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# Create tabs to switch between PDF and PNG views
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tab1, tab2 = st.tabs(["PDF 预览 (推荐打印)", "PNG 预览"])
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with tab1:
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st.markdown(display_pdf(output['pdf']), unsafe_allow_html=True)
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st.download_button(
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label="下载 PDF 文件",
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data=base64.b64decode(output['pdf'].split(',')[1]),
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file_name=f"Schedule_{date_str}.pdf",
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mime="application/pdf"
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)
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with tab2:
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st.image(output['png'], use_container_width=True)
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st.download_button(
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label="下载 PNG 图像",
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data=base64.b64decode(output['png'].split(',')[1]),
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file_name=f"Schedule_{date_str}.png",
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mime="image/png"
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)
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else:
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st.error("
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import base64
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import os
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from datetime import datetime, timedelta
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from matplotlib.backends.backend_pdf import PdfPages
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from pypinyin import lazy_pinyin, Style
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def get_font(size=14):
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"""Loads the SimHei font for Chinese character support."""
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# Prioritize 'simHei.ttc' if it exists, otherwise fall back to 'SimHei.ttf'
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font_path = "simHei.ttc"
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if not os.path.exists(font_path):
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font_path = "SimHei.ttf"
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return font_manager.FontProperties(fname=font_path, size=size)
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def get_pinyin_abbr(text):
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"""Gets the first letter of the Pinyin for the first two Chinese characters of a text."""
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if not text:
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return ""
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# Extract the first two Chinese characters
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chars = [c for c in text if '\u4e00' <= c <= '\u9fff']
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chars = chars[:2]
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# Get the first letter of the pinyin for each character
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pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER)
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return ''.join(pinyin_list).upper()
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def process_schedule(file):
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"""Processes the uploaded Excel file to extract and clean movie schedule data."""
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try:
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# Try to read the date from a specific cell
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date_df = pd.read_excel(file, header=None, skiprows=7, nrows=1, usecols=[3])
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date_str = pd.to_datetime(date_df.iloc[0, 0]).strftime('%Y-%m-%d')
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base_date = pd.to_datetime(date_str).date()
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except Exception:
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# Fallback to the current date if reading fails
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date_str = datetime.today().strftime('%Y-%m-%d')
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base_date = datetime.today().date()
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try:
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# Read the main schedule data
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df = pd.read_excel(file, header=9, usecols=[1, 2, 4, 5])
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df.columns = ['Hall', 'StartTime', 'EndTime', 'Movie']
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# Data cleaning
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df['Hall'] = df['Hall'].ffill()
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df.dropna(subset=['StartTime', 'EndTime', 'Movie'], inplace=True)
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df['Hall'] = df['Hall'].astype(str).str.extract(r'(\d+号)')
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# Convert times to datetime objects
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df['StartTime_dt'] = pd.to_datetime(df['StartTime'], format='%H:%M', errors='coerce').apply(
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lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
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)
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df['EndTime_dt'] = pd.to_datetime(df['EndTime'], format='%H:%M', errors='coerce').apply(
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lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
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)
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# Handle overnight screenings
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df.loc[df['EndTime_dt'] < df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
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df = df.sort_values(['Hall', 'StartTime_dt'])
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# Merge consecutive screenings of the same movie
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merged_rows = []
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for _, group in df.groupby('Hall'):
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group = group.sort_values('StartTime_dt')
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current = None
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for _, row in group.iterrows():
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current = row.copy()
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else:
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if row['Movie'] == current['Movie']:
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current['EndTime_dt'] = row['EndTime_dt'] # Extend the end time
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else:
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merged_rows.append(current)
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current = row.copy()
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merged_df = pd.DataFrame(merged_rows)
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# Adjust times: start 10 mins earlier, end 5 mins earlier
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merged_df['StartTime_dt'] = merged_df['StartTime_dt'] - timedelta(minutes=10)
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merged_df['EndTime_dt'] = merged_df['EndTime_dt'] - timedelta(minutes=5)
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# Format times back to strings
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merged_df['StartTime_str'] = merged_df['StartTime_dt'].dt.strftime('%H:%M')
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merged_df['EndTime_str'] = merged_df['EndTime_dt'].dt.strftime('%H:%M')
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return merged_df[['Hall', 'Movie', 'StartTime_str', 'EndTime_str']], date_str
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except Exception:
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return None, date_str
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def create_print_layout(data, date_str):
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"""Generates the print layout as PNG and PDF files based on the schedule data."""
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if data is None or data.empty:
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return None
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# Create figures for PNG and PDF output
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png_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
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png_ax = png_fig.add_subplot(111)
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png_ax.set_axis_off()
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pdf_ax.set_axis_off()
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pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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def process_figure(fig, ax):
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"""A helper function to draw the schedule on a given matplotlib Axes object."""
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halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')) if h else 0)
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# --- Dynamic Row and Font Size Calculation ---
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total_movie_lines = len(data)
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if total_movie_lines == 0:
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return
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num_halls = len(halls)
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num_separators = num_halls - 1 if num_halls > 1 else 0
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# Total vertical slots include movies, separators, and padding
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num_slots = total_movie_lines + num_separators + 2 # "+2" for top/bottom padding
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ax_top = 0.98
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ax_bottom = 0.02
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ax_height_fraction = ax_top - ax_bottom
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fig_height_inches = 11.69
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# Calculate font size to be 90% of the calculated row height
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slot_height_points = (fig_height_inches * ax_height_fraction * 72) / num_slots
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font_size = slot_height_points * 0.9
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content_font = get_font(font_size)
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hall_font = get_font(font_size * 1.1) # Hall font is slightly larger
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date_font = get_font(12)
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# --- Drawing Logic ---
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ax.text(0.0, 1.0, date_str, color='#A9A9A9',
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ha='left', va='top', fontproperties=date_font, transform=ax.transAxes)
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line_height = ax_height_fraction / num_slots
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y_position = ax_top - line_height # Start after top padding
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for i, hall in enumerate(halls):
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hall_data = data[data['Hall'] == hall]
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hall_num = hall.replace("号", "")
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# Use a flag to print the hall number only once per hall
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is_first_movie_in_hall = True
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movie_count = 1
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for _, row in hall_data.iterrows():
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# Display Hall Number once for the block, on the same line as the first movie
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if is_first_movie_in_hall:
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ax.text(0.03, y_position, f"${hall_num}^{{\\#}}$",
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fontweight='bold', ha='left', va='top',
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fontproperties=hall_font, transform=ax.transAxes, zorder=2)
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is_first_movie_in_hall = False
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# --- New Content Layout ---
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# Left-aligned content: Seq. Number, Pinyin, Time
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+
ax.text(0.12, y_position, f"{movie_count}.", fontproperties=content_font, ha='left', va='top', transform=ax.transAxes)
|
165 |
+
ax.text(0.18, y_position, get_pinyin_abbr(row['Movie']), fontproperties=content_font, ha='left', va='top', transform=ax.transAxes)
|
166 |
+
ax.text(0.28, y_position, f"{row['StartTime_str']} - {row['EndTime_str']}", fontproperties=content_font, ha='left', va='top', transform=ax.transAxes)
|
167 |
+
|
168 |
+
# Right-aligned content: Movie Name
|
169 |
+
ax.text(0.97, y_position, row['Movie'], fontproperties=content_font, ha='right', va='top', transform=ax.transAxes, clip_on=True)
|
|
|
|
|
|
|
|
|
170 |
|
171 |
+
y_position -= line_height
|
172 |
movie_count += 1
|
173 |
|
174 |
+
# --- Separator Line ---
|
175 |
+
if i < num_separators:
|
176 |
+
# The line is drawn in the middle of the separator's allocated slot
|
177 |
+
line_y = y_position + (line_height / 2)
|
178 |
+
ax.axhline(y=line_y, color='black', linewidth=0.8, xmin=0.03, xmax=0.97)
|
179 |
+
y_position -= line_height # Move down past the separator slot
|
|
|
180 |
|
181 |
+
# Process both the PNG and PDF figures
|
182 |
process_figure(png_fig, png_ax)
|
183 |
+
process_figure(pdf_fig, pdf_ax)
|
184 |
|
185 |
# Save PNG to a buffer
|
186 |
png_buffer = io.BytesIO()
|
|
|
191 |
|
192 |
# Save PDF to a buffer
|
193 |
pdf_buffer = io.BytesIO()
|
194 |
+
with PdfPages(pdf_buffer, 'w') as pdf:
|
195 |
pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.05)
|
196 |
pdf_buffer.seek(0)
|
197 |
pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
|
|
|
203 |
}
|
204 |
|
205 |
def display_pdf(base64_pdf):
|
206 |
+
"""Embeds the PDF in the Streamlit app for display."""
|
207 |
+
return f'<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>'
|
|
|
|
|
|
|
208 |
|
209 |
+
# --- Streamlit App UI ---
|
210 |
st.set_page_config(page_title="LED 屏幕时间表打印", layout="wide")
|
211 |
st.title("LED 屏幕时间表打印")
|
212 |
|
213 |
+
uploaded_file = st.file_uploader("选择打开【放映时间核对表.xls】文件", type=["xls"])
|
214 |
|
215 |
if uploaded_file:
|
216 |
with st.spinner("文件正在处理中,请稍候..."):
|
217 |
schedule, date_str = process_schedule(uploaded_file)
|
218 |
+
if schedule is not None:
|
219 |
output = create_print_layout(schedule, date_str)
|
220 |
|
221 |
+
# Create tabs for PDF and PNG previews
|
222 |
+
tab1, tab2 = st.tabs(["PDF 预览", "PNG 预览"])
|
|
|
|
|
223 |
|
224 |
with tab1:
|
225 |
st.markdown(display_pdf(output['pdf']), unsafe_allow_html=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
226 |
|
227 |
with tab2:
|
228 |
st.image(output['png'], use_container_width=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
229 |
else:
|
230 |
+
st.error("无法处理文件,请检查文件格式或内容是否正确。")
|