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Update app.py
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app.py
CHANGED
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@@ -6,78 +6,71 @@ 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 pypinyin import lazy_pinyin, Style
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from matplotlib.backends.backend_pdf import PdfPages
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import matplotlib.gridspec as gridspec
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from matplotlib.patches import FancyBboxPatch
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# --- Constants for "Quick Print" (放映场次核对表) ---
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SPLIT_TIME = "17:30"
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BUSINESS_START = "09:30"
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BUSINESS_END = "01:30"
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BORDER_COLOR = '#A9A9A9'
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DATE_COLOR = '#A9A9A9'
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# --- Helper functions for "LED Screen" (放映时间核对表) ---
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def get_font(size=14):
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"""
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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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try:
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return font_manager.FontProperties(fname=font_path, size=size)
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except RuntimeError:
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# If the font file is not found, use a default font that should exist.
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# This will likely not render Chinese characters correctly but prevents crashing.
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return font_manager.FontProperties(family='sans-serif', 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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# 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
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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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try:
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#
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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
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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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# 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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df.loc[df['EndTime_dt'] < df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
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df = df.sort_values(['
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# Merge consecutive screenings of the same movie
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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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if current is not None:
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merged_rows.append(current)
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merged_df = pd.DataFrame(merged_rows)
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# Adjust start and end times
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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['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 as e:
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st.error(f"An error occurred during
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return None, date_str
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if data is None or data.empty:
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return None
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png_ax.set_axis_off()
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png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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pdf_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
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pdf_ax = pdf_fig.add_subplot(111)
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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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halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')) if h else 0)
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num_separators = len(halls) - 1
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total_layout_rows = len(data) + num_separators + 2
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for
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ax.
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ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
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ax.text(col_time_left, y_position, f"{row['StartTime_str']}-{row['EndTime_str']}",
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ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
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y_position -= row_height
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movie_count += 1
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png_buffer = io.BytesIO()
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png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.05)
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png_buffer.seek(0)
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image_base64 = base64.b64encode(png_buffer.getvalue()).decode()
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plt.close(png_fig)
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pdf_buffer = io.BytesIO()
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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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plt.close(pdf_fig)
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@@ -202,252 +222,34 @@ def create_print_layout_led(data, date_str):
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'pdf': f"data:application/pdf;base64,{pdf_base64}"
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}
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# --- Processing logic for "Quick Print" (放映场次核对表) ---
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def process_schedule_quick(file):
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"""Processes the '放映场次核对表.xls' file."""
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try:
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df = pd.read_excel(file, skiprows=8)
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df = df.iloc[:, [6, 7, 9]]
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df.columns = ['Hall', 'StartTime', 'EndTime']
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df = df.dropna(subset=['Hall', 'StartTime', 'EndTime'])
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df['Hall'] = df['Hall'].str.extract(r'(\d+)号').astype(str) + ' '
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base_date = datetime.today().date()
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df['StartTime'] = pd.to_datetime(df['StartTime'])
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df['EndTime'] = pd.to_datetime(df['EndTime'])
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business_start = datetime.strptime(f"{base_date} {BUSINESS_START}", "%Y-%m-%d %H:%M")
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business_end = datetime.strptime(f"{base_date} {BUSINESS_END}", "%Y-%m-%d %H:%M")
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if business_end < business_start:
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business_end += timedelta(days=1)
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for idx, row in df.iterrows():
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end_time = row['EndTime']
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if end_time.hour < 9:
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df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
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if row['StartTime'].hour >= 21 and end_time.hour < 9:
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df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
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df['time_for_comparison'] = df['EndTime'].apply(lambda x: datetime.combine(base_date, x.time()))
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df.loc[df['time_for_comparison'].dt.hour < 9, 'time_for_comparison'] += timedelta(days=1)
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valid_times = (
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(df['time_for_comparison'] >= datetime.combine(base_date, business_start.time())) &
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(df['time_for_comparison'] <= datetime.combine(base_date + timedelta(days=1), business_end.time()))
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)
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df = df[valid_times]
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df = df.sort_values('EndTime')
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split_time_dt = datetime.strptime(f"{base_date} {SPLIT_TIME}", "%Y-%m-%d %H:%M")
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part1 = df[df['time_for_comparison'] <= split_time_dt].copy()
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part2 = df[df['time_for_comparison'] > split_time_dt].copy()
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for part in [part1, part2]:
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part['EndTime'] = part['EndTime'].dt.strftime('%-H:%M')
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date_df = pd.read_excel(file, skiprows=5, nrows=1, usecols=[2], header=None)
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date_cell = date_df.iloc[0, 0]
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try:
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if isinstance(date_cell, str):
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date_str = datetime.strptime(date_cell, '%Y-%m-%d').strftime('%Y-%m-%d')
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else:
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date_str = pd.to_datetime(date_cell).strftime('%Y-%m-%d')
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except:
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date_str = datetime.today().strftime('%Y-%m-%d')
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return part1[['Hall', 'EndTime']], part2[['Hall', 'EndTime']], date_str
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except Exception as e:
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st.error(f"处理文件时出错: {str(e)}")
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return None, None, None
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# --- Layout generation for "Quick Print" (放映场次核对表) ---
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def create_print_layout_quick(data, title, date_str):
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"""Creates print layout for the 'Quick Print' schedule."""
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if data.empty:
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return None
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png_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5
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png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
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pdf_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5
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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, is_pdf=False):
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plt.rcParams['font.family'] = 'sans-serif'
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plt.rcParams['font.sans-serif'] = ['Arial Unicode MS', 'Heiti TC', 'SimHei']
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total_items = len(data)
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num_cols = 3
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num_rows = math.ceil(total_items / num_cols)
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gs = gridspec.GridSpec(num_rows + 1, num_cols, hspace=0.05, wspace=0.05, height_ratios=[0.1] + [1] * num_rows, figure=fig)
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target_width_px = 1
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if total_items > 0:
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ax_temp = fig.add_subplot(gs[1, 0])
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fig.canvas.draw()
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target_width_px = ax_temp.get_window_extent().width * 0.90
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ax_temp.remove()
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available_height_per_row = (8.27 * 0.9 * (1 / 1.2)) / num_rows if num_rows > 0 else 1
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date_fontsize = min(40, max(10, available_height_per_row * 72 * 0.5))
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data_values = data.values.tolist()
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while len(data_values) % num_cols != 0:
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data_values.append(['', ''])
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rows_per_col_layout = math.ceil(len(data_values) / num_cols)
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sorted_data = [['', '']] * len(data_values)
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for i, item in enumerate(data_values):
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if item[0] and item[1]:
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row_in_col = i % rows_per_col_layout
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col_idx = i // rows_per_col_layout
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new_index = row_in_col * num_cols + col_idx
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if new_index < len(sorted_data):
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sorted_data[new_index] = item
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for idx, (hall, end_time) in enumerate(sorted_data):
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if hall and end_time:
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row_grid = idx // num_cols + 1
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col_grid = idx % num_cols
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if row_grid < num_rows + 1:
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ax = fig.add_subplot(gs[row_grid, col_grid])
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for spine in ax.spines.values():
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spine.set_visible(False)
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bbox = FancyBboxPatch(
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(0.01, 0.01), 0.98, 0.98,
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boxstyle="round,pad=0,rounding_size=0.02",
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edgecolor=BORDER_COLOR, facecolor='none',
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linewidth=0.5, transform=ax.transAxes, clip_on=False
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ax.add_patch(bbox)
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display_text = f"{hall}{end_time}"
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t = ax.text(0.5, 0.5, display_text,
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fontweight='bold', ha='center', va='center',
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transform=ax.transAxes)
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current_size = 120
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while current_size > 1:
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t.set_fontsize(current_size)
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text_bbox = t.get_window_extent(renderer=fig.canvas.get_renderer())
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if text_bbox.width <= target_width_px:
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break
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current_size -= 2
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ax.set_xticks([])
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ax.set_yticks([])
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ax_date = fig.add_subplot(gs[0, :])
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ax_date.text(0.01, 0.5, f"{date_str} {title}",
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fontsize=date_fontsize * 0.5,
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color=DATE_COLOR, fontweight='bold',
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ha='left', va='center', transform=ax_date.transAxes)
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for spine in ax_date.spines.values():
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spine.set_visible(False)
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ax_date.set_xticks([])
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ax_date.set_yticks([])
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ax_date.set_facecolor('none')
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process_figure(png_fig)
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process_figure(pdf_fig, is_pdf=True)
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png_buffer = io.BytesIO()
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png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.02)
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png_buffer.seek(0)
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png_base64 = base64.b64encode(png_buffer.getvalue()).decode()
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| 364 |
-
plt.close(png_fig)
|
| 365 |
-
|
| 366 |
-
pdf_buffer = io.BytesIO()
|
| 367 |
-
with PdfPages(pdf_buffer) as pdf:
|
| 368 |
-
pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.02)
|
| 369 |
-
pdf_buffer.seek(0)
|
| 370 |
-
pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
|
| 371 |
-
plt.close(pdf_fig)
|
| 372 |
-
|
| 373 |
-
return {
|
| 374 |
-
'png': f'data:image/png;base64,{png_base64}',
|
| 375 |
-
'pdf': f'data:application/pdf;base64,{pdf_base64}'
|
| 376 |
-
}
|
| 377 |
-
|
| 378 |
-
# --- Generic Helper to Display PDF ---
|
| 379 |
def display_pdf(base64_pdf):
|
| 380 |
-
"""
|
| 381 |
-
pdf_display = f"""
|
| 382 |
-
<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>
|
| 383 |
-
"""
|
| 384 |
return pdf_display
|
| 385 |
|
| 386 |
-
# ---
|
| 387 |
-
st.set_page_config(page_title="
|
| 388 |
-
st.title("
|
| 389 |
|
| 390 |
-
uploaded_file = st.file_uploader(
|
| 391 |
-
"选择【放映时间核对表.xls】或【放映场次核对表.xls】文件",
|
| 392 |
-
accept_multiple_files=False,
|
| 393 |
-
type=["xls"]
|
| 394 |
-
)
|
| 395 |
|
| 396 |
if uploaded_file:
|
| 397 |
with st.spinner("文件正在处理中,请稍候..."):
|
| 398 |
-
|
| 399 |
-
|
| 400 |
-
|
| 401 |
-
|
| 402 |
-
|
| 403 |
-
|
| 404 |
-
|
| 405 |
-
|
| 406 |
-
|
| 407 |
-
|
| 408 |
-
|
| 409 |
-
|
| 410 |
-
|
| 411 |
-
st.image(output['png'], use_container_width=True)
|
| 412 |
-
else:
|
| 413 |
-
st.info("没有可显示的数据。")
|
| 414 |
-
else:
|
| 415 |
-
st.error("无法处理文件,请检查文件格式或内容是否正确。")
|
| 416 |
-
|
| 417 |
-
# 2. Logic for "散厅时间快捷打印"
|
| 418 |
-
elif "放映场次核对表" in uploaded_file.name:
|
| 419 |
-
part1_data, part2_data, date_str = process_schedule_quick(uploaded_file)
|
| 420 |
-
|
| 421 |
-
if part1_data is not None and part2_data is not None:
|
| 422 |
-
part1_output = create_print_layout_quick(part1_data, "A", date_str)
|
| 423 |
-
part2_output = create_print_layout_quick(part2_data, "C", date_str)
|
| 424 |
-
|
| 425 |
-
col1, col2 = st.columns(2)
|
| 426 |
-
|
| 427 |
-
with col1:
|
| 428 |
-
st.subheader("白班散场预览(时间 ≤ 17:30)")
|
| 429 |
-
if part1_output:
|
| 430 |
-
tab1_1, tab1_2 = st.tabs(["PDF 预览 ", "PNG 预览 "]) # Added space to make keys unique
|
| 431 |
-
with tab1_1:
|
| 432 |
-
st.markdown(display_pdf(part1_output['pdf']), unsafe_allow_html=True)
|
| 433 |
-
with tab1_2:
|
| 434 |
-
st.image(part1_output['png'])
|
| 435 |
-
else:
|
| 436 |
-
st.info("白班部分没有数据")
|
| 437 |
-
|
| 438 |
-
with col2:
|
| 439 |
-
st.subheader("夜班散场预览(时间 > 17:30)")
|
| 440 |
-
if part2_output:
|
| 441 |
-
tab2_1, tab2_2 = st.tabs(["PDF 预览 ", "PNG 预览 "]) # Added spaces to make keys unique
|
| 442 |
-
with tab2_1:
|
| 443 |
-
st.markdown(display_pdf(part2_output['pdf']), unsafe_allow_html=True)
|
| 444 |
-
with tab2_2:
|
| 445 |
-
st.image(part2_output['png'])
|
| 446 |
-
else:
|
| 447 |
-
st.info("夜班部分没有数据")
|
| 448 |
else:
|
| 449 |
-
|
| 450 |
-
|
| 451 |
-
# 3. Fallback for incorrect file
|
| 452 |
else:
|
| 453 |
-
st.
|
|
|
|
|
|
| 6 |
import base64
|
| 7 |
import os
|
| 8 |
from datetime import datetime, timedelta
|
|
|
|
| 9 |
from pypinyin import lazy_pinyin, Style
|
| 10 |
from matplotlib.backends.backend_pdf import PdfPages
|
|
|
|
|
|
|
| 11 |
|
|
|
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|
|
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|
|
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|
| 12 |
def get_font(size=14):
|
| 13 |
+
"""
|
| 14 |
+
Retrieves the specified font properties. Looks for 'simHei.ttc' first,
|
| 15 |
+
then falls back to 'SimHei.ttf'.
|
| 16 |
+
"""
|
| 17 |
font_path = "simHei.ttc"
|
| 18 |
if not os.path.exists(font_path):
|
| 19 |
+
font_path = "SimHei.ttf"
|
| 20 |
+
return font_manager.FontProperties(fname=font_path, size=size)
|
|
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|
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|
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|
| 21 |
|
| 22 |
def get_pinyin_abbr(text):
|
| 23 |
+
"""
|
| 24 |
+
Gets the first letter of the Pinyin for the first two Chinese characters of a text.
|
| 25 |
+
"""
|
| 26 |
if not text:
|
| 27 |
return ""
|
| 28 |
# Extract the first two Chinese characters
|
| 29 |
chars = [c for c in text if '\u4e00' <= c <= '\u9fff']
|
| 30 |
chars = chars[:2]
|
| 31 |
+
# Get the first letter of the Pinyin for each character
|
| 32 |
pinyin_list = lazy_pinyin(chars, style=Style.FIRST_LETTER)
|
| 33 |
return ''.join(pinyin_list).upper()
|
| 34 |
|
| 35 |
+
def process_schedule(file):
|
| 36 |
+
"""
|
| 37 |
+
Processes the uploaded Excel file to extract and clean the movie schedule data.
|
| 38 |
+
"""
|
| 39 |
try:
|
| 40 |
+
# Try to read the date from the Excel file
|
| 41 |
date_df = pd.read_excel(file, header=None, skiprows=7, nrows=1, usecols=[3])
|
| 42 |
date_str = pd.to_datetime(date_df.iloc[0, 0]).strftime('%Y-%m-%d')
|
| 43 |
base_date = pd.to_datetime(date_str).date()
|
| 44 |
except Exception:
|
| 45 |
+
# Fallback to today's date if reading fails
|
| 46 |
date_str = datetime.today().strftime('%Y-%m-%d')
|
| 47 |
base_date = datetime.today().date()
|
| 48 |
+
file.seek(0) # Reset file pointer after failed read attempt
|
| 49 |
|
| 50 |
try:
|
| 51 |
df = pd.read_excel(file, header=9, usecols=[1, 2, 4, 5])
|
| 52 |
df.columns = ['Hall', 'StartTime', 'EndTime', 'Movie']
|
| 53 |
+
|
| 54 |
df['Hall'] = df['Hall'].ffill()
|
| 55 |
df.dropna(subset=['StartTime', 'EndTime', 'Movie'], inplace=True)
|
| 56 |
+
|
| 57 |
+
df['Hall_Num'] = df['Hall'].astype(str).str.extract(r'(\d+)').astype(int)
|
| 58 |
+
df['Hall'] = df['Hall_Num'].astype(str) + '号'
|
| 59 |
|
| 60 |
+
# Convert times to datetime objects
|
| 61 |
df['StartTime_dt'] = pd.to_datetime(df['StartTime'], format='%H:%M', errors='coerce').apply(
|
| 62 |
lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
|
| 63 |
)
|
| 64 |
df['EndTime_dt'] = pd.to_datetime(df['EndTime'], format='%H:%M', errors='coerce').apply(
|
| 65 |
lambda t: t.replace(year=base_date.year, month=base_date.month, day=base_date.day) if pd.notnull(t) else t
|
| 66 |
)
|
| 67 |
+
|
| 68 |
df.loc[df['EndTime_dt'] < df['StartTime_dt'], 'EndTime_dt'] += timedelta(days=1)
|
| 69 |
+
df = df.sort_values(['Hall_Num', 'StartTime_dt'])
|
| 70 |
+
|
| 71 |
# Merge consecutive screenings of the same movie
|
| 72 |
merged_rows = []
|
| 73 |
+
for _, group in df.groupby('Hall_Num'):
|
| 74 |
group = group.sort_values('StartTime_dt')
|
| 75 |
current = None
|
| 76 |
for _, row in group.iterrows():
|
|
|
|
| 84 |
current = row.copy()
|
| 85 |
if current is not None:
|
| 86 |
merged_rows.append(current)
|
| 87 |
+
|
| 88 |
+
if not merged_rows:
|
| 89 |
+
return None, date_str
|
| 90 |
|
| 91 |
merged_df = pd.DataFrame(merged_rows)
|
| 92 |
+
|
| 93 |
# Adjust start and end times
|
| 94 |
merged_df['StartTime_dt'] = merged_df['StartTime_dt'] - timedelta(minutes=10)
|
| 95 |
merged_df['EndTime_dt'] = merged_df['EndTime_dt'] - timedelta(minutes=5)
|
| 96 |
+
|
| 97 |
+
# Create final data columns for the table
|
| 98 |
+
merged_df['Sequence'] = merged_df.groupby('Hall_Num').cumcount() + 1
|
| 99 |
+
merged_df['Pinyin'] = merged_df['Movie'].apply(get_pinyin_abbr)
|
| 100 |
+
merged_df['Time'] = merged_df['StartTime_dt'].dt.strftime('%H:%M') + ' - ' + merged_df['EndTime_dt'].dt.strftime('%H:%M')
|
| 101 |
+
|
| 102 |
+
final_df = merged_df[['Hall', 'Hall_Num', 'Sequence', 'Movie', 'Pinyin', 'Time']].copy()
|
| 103 |
+
final_df = final_df.sort_values(['Hall_Num', 'Sequence']).reset_index(drop=True)
|
| 104 |
|
| 105 |
+
return final_df, date_str
|
|
|
|
|
|
|
|
|
|
| 106 |
except Exception as e:
|
| 107 |
+
st.error(f"An error occurred during data processing: {e}")
|
| 108 |
return None, date_str
|
| 109 |
|
| 110 |
+
def create_print_layout(data, date_str):
|
| 111 |
+
"""
|
| 112 |
+
Generates the print layout as PNG and PDF based on the processed data.
|
| 113 |
+
"""
|
| 114 |
if data is None or data.empty:
|
| 115 |
return None
|
| 116 |
|
| 117 |
+
def draw_table_on_ax(fig, ax):
|
| 118 |
+
"""Helper function to draw the table on a given Matplotlib axis."""
|
| 119 |
+
ax.set_axis_off()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
|
| 121 |
+
num_rows = len(data)
|
| 122 |
+
if num_rows == 0:
|
| 123 |
+
return
|
| 124 |
+
|
| 125 |
+
# --- Layout & Sizing Calculations ---
|
| 126 |
+
# Define printable area using relative coordinates (fractions of the page)
|
| 127 |
+
TOP_MARGIN, BOTTOM_MARGIN = 0.96, 0.04
|
| 128 |
+
LEFT_MARGIN, RIGHT_MARGIN = 0.04, 0.96
|
| 129 |
+
TABLE_HEIGHT = TOP_MARGIN - BOTTOM_MARGIN
|
| 130 |
+
TABLE_WIDTH = RIGHT_MARGIN - LEFT_MARGIN
|
| 131 |
+
|
| 132 |
+
# Total rows for calculation: content rows + 2 for top/bottom buffer
|
| 133 |
+
total_layout_rows = num_rows + 2
|
| 134 |
+
row_height = TABLE_HEIGHT / total_layout_rows
|
| 135 |
+
|
| 136 |
+
# Font size is 90% of the calculated row height
|
| 137 |
+
# (row_height is a fraction of figure height, convert to points)
|
| 138 |
+
font_size_pt = (row_height * fig.get_figheight() * 0.9) * 72
|
| 139 |
+
font = get_font(size=font_size_pt)
|
| 140 |
+
|
| 141 |
+
# Relative column widths
|
| 142 |
+
col_relative_widths = {'hall': 1.2, 'seq': 0.8, 'movie': 5.0, 'pinyin': 1.5, 'time': 2.5}
|
| 143 |
+
total_rel_width = sum(col_relative_widths.values())
|
| 144 |
|
| 145 |
+
col_widths = {k: (v / total_rel_width) * TABLE_WIDTH for k, v in col_relative_widths.items()}
|
| 146 |
|
| 147 |
+
# Calculate the absolute x-position for the left edge of each column
|
| 148 |
+
x_pos = {}
|
| 149 |
+
current_x = LEFT_MARGIN
|
| 150 |
+
col_order = ['hall', 'seq', 'movie', 'pinyin', 'time']
|
| 151 |
+
for col_name in col_order:
|
| 152 |
+
x_pos[col_name] = current_x
|
| 153 |
+
current_x += col_widths[col_name]
|
| 154 |
+
x_pos['end'] = current_x # The right edge of the last column
|
| 155 |
+
|
| 156 |
+
# Add date header
|
| 157 |
+
ax.text(LEFT_MARGIN, TOP_MARGIN, date_str, fontsize=12, color='#A9A9A9',
|
| 158 |
+
ha='left', va='top', fontproperties=get_font(12), transform=ax.transAxes)
|
| 159 |
+
|
| 160 |
+
# --- Drawing Loop ---
|
| 161 |
+
for i, row in data.iterrows():
|
| 162 |
+
# Calculate y-position for the center of the current row
|
| 163 |
+
y_center = TOP_MARGIN - (i + 1.5) * row_height # +1.5 to account for header space
|
| 164 |
+
y_top = y_center + row_height / 2
|
| 165 |
+
y_bottom = y_center - row_height / 2
|
| 166 |
+
|
| 167 |
+
# --- 1. Draw Cell Content ---
|
| 168 |
+
# Column content is ordered as per requirement
|
| 169 |
+
ax.text(x_pos['hall'] + col_widths['hall']/2, y_center, f"{row['Hall']}", va='center', ha='center', fontproperties=font, transform=ax.transAxes)
|
| 170 |
+
ax.text(x_pos['seq'] + col_widths['seq']/2, y_center, f"{row['Sequence']}", va='center', ha='center', fontproperties=font, transform=ax.transAxes)
|
| 171 |
+
ax.text(x_pos['movie'] + 0.01, y_center, f"{row['Movie']}", va='center', ha='left', fontproperties=font, transform=ax.transAxes, clip_on=True)
|
| 172 |
+
ax.text(x_pos['pinyin'] + col_widths['pinyin']/2, y_center, f"{row['Pinyin']}", va='center', ha='center', fontproperties=font, transform=ax.transAxes)
|
| 173 |
+
ax.text(x_pos['time'] + col_widths['time']/2, y_center, f"{row['Time']}", va='center', ha='center', fontproperties=font, transform=ax.transAxes)
|
| 174 |
|
| 175 |
+
# --- 2. Draw Cell Borders ---
|
| 176 |
+
# Draw all vertical cell lines with gray dots
|
| 177 |
+
for col_name in col_order:
|
| 178 |
+
ax.plot([x_pos[col_name], x_pos[col_name]], [y_bottom, y_top], color='gray', linestyle=':', linewidth=0.7)
|
| 179 |
+
ax.plot([x_pos['end'], x_pos['end']], [y_bottom, y_top], color='gray', linestyle=':', linewidth=0.7)
|
| 180 |
+
|
| 181 |
+
# Draw top border of the cell
|
| 182 |
+
ax.plot([LEFT_MARGIN, x_pos['end']], [y_top, y_top], color='gray', linestyle=':', linewidth=0.7)
|
| 183 |
+
|
| 184 |
+
# --- 3. Draw Hall Separator or Bottom Border ---
|
| 185 |
+
# Check if this is the last movie for the current hall
|
| 186 |
+
is_last_in_hall = (i == num_rows - 1) or (row['Hall_Num'] != data.iloc[i + 1]['Hall_Num'])
|
| 187 |
+
|
| 188 |
+
if is_last_in_hall:
|
| 189 |
+
# If it's the last entry for a hall, draw a solid black line below it
|
| 190 |
+
ax.plot([LEFT_MARGIN, x_pos['end']], [y_bottom, y_bottom], color='black', linestyle='-', linewidth=1.2, zorder=3)
|
| 191 |
+
else:
|
| 192 |
+
# Otherwise, draw a standard gray dotted line
|
| 193 |
+
ax.plot([LEFT_MARGIN, x_pos['end']], [y_bottom, y_bottom], color='gray', linestyle=':', linewidth=0.7)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 194 |
|
| 195 |
+
# --- Generate PNG and PDF Outputs ---
|
| 196 |
+
# Create a figure for PNG output
|
| 197 |
+
png_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
|
| 198 |
+
png_ax = png_fig.add_subplot(111)
|
| 199 |
+
draw_table_on_ax(png_fig, png_ax)
|
| 200 |
+
|
| 201 |
+
# Create a separate figure for PDF output
|
| 202 |
+
pdf_fig = plt.figure(figsize=(8.27, 11.69), dpi=300)
|
| 203 |
+
pdf_ax = pdf_fig.add_subplot(111)
|
| 204 |
+
draw_table_on_ax(pdf_fig, pdf_ax)
|
| 205 |
|
| 206 |
+
# Save PNG to a buffer
|
| 207 |
png_buffer = io.BytesIO()
|
| 208 |
png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.05)
|
| 209 |
png_buffer.seek(0)
|
| 210 |
image_base64 = base64.b64encode(png_buffer.getvalue()).decode()
|
| 211 |
plt.close(png_fig)
|
| 212 |
|
| 213 |
+
# Save PDF to a buffer
|
| 214 |
pdf_buffer = io.BytesIO()
|
| 215 |
+
pdf_fig.savefig(pdf_buffer, format='pdf', bbox_inches='tight', pad_inches=0.05)
|
|
|
|
| 216 |
pdf_buffer.seek(0)
|
| 217 |
pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
|
| 218 |
plt.close(pdf_fig)
|
|
|
|
| 222 |
'pdf': f"data:application/pdf;base64,{pdf_base64}"
|
| 223 |
}
|
| 224 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 225 |
def display_pdf(base64_pdf):
|
| 226 |
+
"""Embeds the PDF in the Streamlit app for display."""
|
| 227 |
+
pdf_display = f'<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>'
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|
| 228 |
return pdf_display
|
| 229 |
|
| 230 |
+
# --- Streamlit App UI ---
|
| 231 |
+
st.set_page_config(page_title="LED 屏幕时间表打印", layout="wide")
|
| 232 |
+
st.title("LED 屏幕时间表打印")
|
| 233 |
|
| 234 |
+
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", "xlsx"])
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|
| 235 |
|
| 236 |
if uploaded_file:
|
| 237 |
with st.spinner("文件正在处理中,请稍候..."):
|
| 238 |
+
schedule, date_str = process_schedule(io.BytesIO(uploaded_file.getvalue()))
|
| 239 |
+
if schedule is not None and not schedule.empty:
|
| 240 |
+
output = create_print_layout(schedule, date_str)
|
| 241 |
+
|
| 242 |
+
if output:
|
| 243 |
+
# Create tabs to switch between PDF and PNG previews
|
| 244 |
+
tab1, tab2 = st.tabs(["PDF 预览", "PNG 预览"])
|
| 245 |
+
|
| 246 |
+
with tab1:
|
| 247 |
+
st.markdown(display_pdf(output['pdf']), unsafe_allow_html=True)
|
| 248 |
+
|
| 249 |
+
with tab2:
|
| 250 |
+
st.image(output['png'], use_container_width=True)
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|
| 251 |
else:
|
| 252 |
+
st.error("生成打印布局时出错。")
|
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|
| 253 |
else:
|
| 254 |
+
st.error("无法处理文件,或文件中没有找到有效排片数据。请检查文件格式或内容是否正确。")
|
| 255 |
+
|