Update app.py

app.py

@@ -9,13 +9,30 @@ from datetime import datetime, timedelta
 import math
 from pypinyin import lazy_pinyin, Style
 from matplotlib.backends.backend_pdf import PdfPages
+import matplotlib.gridspec as gridspec
+from matplotlib.patches import FancyBboxPatch
 
+# --- Constants for "Quick Print" (放映场次核对表) ---
+SPLIT_TIME = "17:30"
+BUSINESS_START = "09:30"
+BUSINESS_END = "01:30"
+BORDER_COLOR = '#A9A9A9'
+DATE_COLOR = '#A9A9A9'
+
+# --- Helper functions for "LED Screen" (放映时间核对表) ---
 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)
+        font_path = "SimHei.ttf"  # Fallback font
+    # Add a final fallback for systems without Chinese fonts
+    try:
+        return font_manager.FontProperties(fname=font_path, size=size)
+    except RuntimeError:
+        # If the font file is not found, use a default font that should exist.
+        # This will likely not render Chinese characters correctly but prevents crashing.
+        return font_manager.FontProperties(family='sans-serif', size=size)
+
 
 def get_pinyin_abbr(text):
     """Gets the first letter of the Pinyin for the first two Chinese characters of a text."""
@@ -28,8 +45,9 @@ def get_pinyin_abbr(text):
     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."""
+# --- Processing logic for "LED Screen" (放映时间核对表) ---
+def process_schedule_led(file):
+    """Processes the '放映时间核对表.xls' file."""
     try:
         # Attempt to read the date from a specific cell
         date_df = pd.read_excel(file, header=None, skiprows=7, nrows=1, usecols=[3])
@@ -39,14 +57,14 @@ def process_schedule(file):
         # 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, handling overnight screenings
         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
@@ -56,7 +74,7 @@ def process_schedule(file):
         )
         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'):
@@ -73,23 +91,24 @@ def process_schedule(file):
                         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 file processing: {e}")
         return None, date_str
 
-def create_print_layout(data, date_str):
-    """Generates PNG and PDF layouts of the schedule based on the provided data."""
+# --- Layout generation for "LED Screen" (放映时间核对表) ---
+def create_print_layout_led(data, date_str):
+    """Generates PNG and PDF layouts for the 'LED Screen' schedule."""
     if data is None or data.empty:
         return None
 
@@ -98,97 +117,79 @@ def create_print_layout(data, date_str):
     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):
         halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')) if h else 0)
 
-        # 1. A4 as a table: Calculate row height based on content
         num_separators = len(halls) - 1
-        # Each movie, separator, and top/bottom margin gets a row
         total_layout_rows = len(data) + num_separators + 2
         
-        available_height = 0.96  # Effective printable area (1.0 - top_margin - bottom_margin)
+        available_height = 0.96
         row_height = available_height / total_layout_rows
 
-        # Font height is 90% of the row height
         fig_height_inches = fig.get_figheight()
-        row_height_points = row_height * fig_height_inches * 72  # Convert figure coords to points
+        row_height_points = row_height * fig_height_inches * 72
         font_size = row_height_points * 0.9
 
-        # Define fonts
         date_font = get_font(font_size * 0.8)
         hall_font = get_font(font_size)
         movie_font = get_font(font_size)
 
-        # Define X positions for columns
-        # MODIFICATION: Hall number is now at the far left (x=0.0)
         col_hall_left = 0.0
         col_movie_right = 0.50
         col_seq_left = 0.52
         col_pinyin_left = 0.62
         col_time_left = 0.75
 
-        # Display date at the top left, aligned with the hall number
         ax.text(col_hall_left, 0.99, date_str, color='#A9A9A9',
                 ha='left', va='top', fontproperties=date_font, transform=ax.transAxes)
         
-        # Set starting Y position after top margin
         y_position = 0.98 - row_height
         
         for i, hall in enumerate(halls):
             hall_data = data[data['Hall'] == hall]
             
-            # Add a separator line between halls (not before the first one)
             if i > 0:
-                # MODIFICATION: Line starts at the far left, aligned with the hall number
                 ax.axhline(y=y_position + row_height / 2, xmin=col_hall_left, xmax=0.97, color='black', linewidth=0.7)
-                y_position -= row_height # Move down one row for the separator space
+                y_position -= row_height
 
             movie_count = 1
             for _, row in hall_data.iterrows():
-                # Hall number (left-aligned), shown only for the first movie in the hall
                 if movie_count == 1:
                     ax.text(col_hall_left, y_position, f"{hall.replace('号', '')}#",
                             ha='left', va='center', fontweight='bold',
                             fontproperties=hall_font, transform=ax.transAxes)
                 
-                # Column: Movie Name (Right-aligned)
                 ax.text(col_movie_right, y_position, row['Movie'],
                         ha='right', va='center', fontproperties=movie_font, transform=ax.transAxes)
 
-                # Column: Sequence Number (Left-aligned)
                 ax.text(col_seq_left, y_position, f"{movie_count}.",
                         ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
 
-                # Column: Pinyin Abbreviation (Left-aligned)
                 pinyin_abbr = get_pinyin_abbr(row['Movie'])
                 ax.text(col_pinyin_left, y_position, pinyin_abbr,
                         ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
                 
-                # Column: Time (Left-aligned)
                 ax.text(col_time_left, y_position, f"{row['StartTime_str']}-{row['EndTime_str']}",
                         ha='left', va='center', fontproperties=movie_font, transform=ax.transAxes)
 
-                y_position -= row_height  # Move to the next row
+                y_position -= row_height
                 movie_count += 1
 
-    # Process both the PNG and PDF figures with the new layout logic
     process_figure(png_fig, png_ax)
     process_figure(pdf_fig, pdf_ax)
     
-    # Save PNG to a 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 buffer
     pdf_buffer = io.BytesIO()
     with PdfPages(pdf_buffer) as pdf:
         pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.05)
@@ -201,6 +202,180 @@ def create_print_layout(data, date_str):
         'pdf': f"data:application/pdf;base64,{pdf_base64}"
     }
 
+# --- Processing logic for "Quick Print" (放映场次核对表) ---
+def process_schedule_quick(file):
+    """Processes the '放映场次核对表.xls' file."""
+    try:
+        df = pd.read_excel(file, skiprows=8)
+        df = df.iloc[:, [6, 7, 9]]
+        df.columns = ['Hall', 'StartTime', 'EndTime']
+        df = df.dropna(subset=['Hall', 'StartTime', 'EndTime'])
+        df['Hall'] = df['Hall'].str.extract(r'(\d+)号').astype(str) + ' '
+        
+        base_date = datetime.today().date()
+        df['StartTime'] = pd.to_datetime(df['StartTime'])
+        df['EndTime'] = pd.to_datetime(df['EndTime'])
+
+        business_start = datetime.strptime(f"{base_date} {BUSINESS_START}", "%Y-%m-%d %H:%M")
+        business_end = datetime.strptime(f"{base_date} {BUSINESS_END}", "%Y-%m-%d %H:%M")
+        if business_end < business_start:
+            business_end += timedelta(days=1)
+
+        for idx, row in df.iterrows():
+            end_time = row['EndTime']
+            if end_time.hour < 9:
+                df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
+            if row['StartTime'].hour >= 21 and end_time.hour < 9:
+                df.at[idx, 'EndTime'] = end_time + timedelta(days=1)
+        
+        df['time_for_comparison'] = df['EndTime'].apply(lambda x: datetime.combine(base_date, x.time()))
+        df.loc[df['time_for_comparison'].dt.hour < 9, 'time_for_comparison'] += timedelta(days=1)
+        
+        valid_times = (
+            (df['time_for_comparison'] >= datetime.combine(base_date, business_start.time())) &
+            (df['time_for_comparison'] <= datetime.combine(base_date + timedelta(days=1), business_end.time()))
+        )
+        df = df[valid_times]
+        df = df.sort_values('EndTime')
+        
+        split_time_dt = datetime.strptime(f"{base_date} {SPLIT_TIME}", "%Y-%m-%d %H:%M")
+        
+        part1 = df[df['time_for_comparison'] <= split_time_dt].copy()
+        part2 = df[df['time_for_comparison'] > split_time_dt].copy()
+
+        for part in [part1, part2]:
+            part['EndTime'] = part['EndTime'].dt.strftime('%-H:%M')
+        
+        date_df = pd.read_excel(file, skiprows=5, nrows=1, usecols=[2], header=None)
+        date_cell = date_df.iloc[0, 0]
+        
+        try:
+            if isinstance(date_cell, str):
+                date_str = datetime.strptime(date_cell, '%Y-%m-%d').strftime('%Y-%m-%d')
+            else:
+                date_str = pd.to_datetime(date_cell).strftime('%Y-%m-%d')
+        except:
+            date_str = datetime.today().strftime('%Y-%m-%d')
+            
+        return part1[['Hall', 'EndTime']], part2[['Hall', 'EndTime']], date_str
+
+    except Exception as e:
+        st.error(f"处理文件时出错: {str(e)}")
+        return None, None, None
+
+# --- Layout generation for "Quick Print" (放映场次核对表) ---
+def create_print_layout_quick(data, title, date_str):
+    """Creates print layout for the 'Quick Print' schedule."""
+    if data.empty:
+        return None
+
+    png_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5
+    png_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
+
+    pdf_fig = plt.figure(figsize=(5.83, 8.27), dpi=300) # A5
+    pdf_fig.subplots_adjust(left=0.02, right=0.98, top=0.98, bottom=0.02)
+
+    def process_figure(fig, is_pdf=False):
+        plt.rcParams['font.family'] = 'sans-serif'
+        plt.rcParams['font.sans-serif'] = ['Arial Unicode MS', 'Heiti TC', 'SimHei']
+
+        total_items = len(data)
+        num_cols = 3
+        num_rows = math.ceil(total_items / num_cols)
+
+        gs = gridspec.GridSpec(num_rows + 1, num_cols, hspace=0.05, wspace=0.05, height_ratios=[0.1] + [1] * num_rows, figure=fig)
+
+        target_width_px = 1
+        if total_items > 0:
+            ax_temp = fig.add_subplot(gs[1, 0])
+            fig.canvas.draw()
+            target_width_px = ax_temp.get_window_extent().width * 0.90
+            ax_temp.remove()
+
+        available_height_per_row = (8.27 * 0.9 * (1 / 1.2)) / num_rows if num_rows > 0 else 1
+        date_fontsize = min(40, max(10, available_height_per_row * 72 * 0.5))
+
+        data_values = data.values.tolist()
+        while len(data_values) % num_cols != 0:
+            data_values.append(['', ''])
+        rows_per_col_layout = math.ceil(len(data_values) / num_cols)
+
+        sorted_data = [['', '']] * len(data_values)
+        for i, item in enumerate(data_values):
+            if item[0] and item[1]:
+                row_in_col = i % rows_per_col_layout
+                col_idx = i // rows_per_col_layout
+                new_index = row_in_col * num_cols + col_idx
+                if new_index < len(sorted_data):
+                    sorted_data[new_index] = item
+
+        for idx, (hall, end_time) in enumerate(sorted_data):
+            if hall and end_time:
+                row_grid = idx // num_cols + 1
+                col_grid = idx % num_cols
+
+                if row_grid < num_rows + 1:
+                    ax = fig.add_subplot(gs[row_grid, col_grid])
+                    for spine in ax.spines.values():
+                        spine.set_visible(False)
+
+                    bbox = FancyBboxPatch(
+                        (0.01, 0.01), 0.98, 0.98,
+                        boxstyle="round,pad=0,rounding_size=0.02",
+                        edgecolor=BORDER_COLOR, facecolor='none',
+                        linewidth=0.5, transform=ax.transAxes, clip_on=False
+                    )
+                    ax.add_patch(bbox)
+
+                    display_text = f"{hall}{end_time}"
+                    t = ax.text(0.5, 0.5, display_text,
+                                fontweight='bold', ha='center', va='center',
+                                transform=ax.transAxes)
+                    
+                    current_size = 120
+                    while current_size > 1:
+                        t.set_fontsize(current_size)
+                        text_bbox = t.get_window_extent(renderer=fig.canvas.get_renderer())
+                        if text_bbox.width <= target_width_px:
+                            break
+                        current_size -= 2
+
+                    ax.set_xticks([])
+                    ax.set_yticks([])
+
+        ax_date = fig.add_subplot(gs[0, :])
+        ax_date.text(0.01, 0.5, f"{date_str} {title}",
+                     fontsize=date_fontsize * 0.5,
+                     color=DATE_COLOR, fontweight='bold',
+                     ha='left', va='center', transform=ax_date.transAxes)
+        for spine in ax_date.spines.values():
+            spine.set_visible(False)
+        ax_date.set_xticks([])
+        ax_date.set_yticks([])
+        ax_date.set_facecolor('none')
+
+    process_figure(png_fig)
+    process_figure(pdf_fig, is_pdf=True)
+
+    png_buffer = io.BytesIO()
+    png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.02)
+    png_buffer.seek(0)
+    png_base64 = base64.b64encode(png_buffer.getvalue()).decode()
+    plt.close(png_fig)
+
+    pdf_buffer = io.BytesIO()
+    with PdfPages(pdf_buffer) as pdf:
+        pdf.savefig(pdf_fig, bbox_inches='tight', pad_inches=0.02)
+    pdf_buffer.seek(0)
+    pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
+    plt.close(pdf_fig)
+
+    return {
+        'png': f'data:image/png;base64,{png_base64}',
+        'pdf': f'data:application/pdf;base64,{pdf_base64}'
+    }
+
+# --- Generic Helper to Display PDF ---
 def display_pdf(base64_pdf):
     """Generates the HTML to embed and display a PDF in Streamlit."""
     pdf_display = f"""
@@ -208,25 +383,71 @@ def display_pdf(base64_pdf):
     """
     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")
+# --- Main Streamlit App ---
+st.set_page_config(page_title="影院排期打印工具", layout="wide")
+st.title("影院排期打印工具")
 
-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"])
+uploaded_file = st.file_uploader(
+    "选择【放映时间核对表.xls】或【放映场次核对表.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)
+        # --- Route to the correct processor based on filename ---
+
+        # 1. Logic for "LED 屏幕时间表打印"
+        if "放映时间核对表" in uploaded_file.name:
+            st.subheader("LED 屏幕时间表")
+            schedule, date_str = process_schedule_led(uploaded_file)
+            if schedule is not None:
+                output = create_print_layout_led(schedule, date_str)
+                if output:
+                    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.info("没有可显示的数据。")
+            else:
+                st.error("无法处理文件，请检查文件格式或内容是否正确。")
+
+        # 2. Logic for "散厅时间快捷打印"
+        elif "放映场次核对表" in uploaded_file.name:
+            part1_data, part2_data, date_str = process_schedule_quick(uploaded_file)
+
+            if part1_data is not None and part2_data is not None:
+                part1_output = create_print_layout_quick(part1_data, "A", date_str)
+                part2_output = create_print_layout_quick(part2_data, "C", date_str)
+
+                col1, col2 = st.columns(2)
+
+                with col1:
+                    st.subheader("白班散场预览（时间 ≤ 17:30）")
+                    if part1_output:
+                        tab1_1, tab1_2 = st.tabs(["PDF 预览 ", "PNG 预览 "]) # Added space to make keys unique
+                        with tab1_1:
+                            st.markdown(display_pdf(part1_output['pdf']), unsafe_allow_html=True)
+                        with tab1_2:
+                            st.image(part1_output['png'])
+                    else:
+                        st.info("白班部分没有数据")
+
+                with col2:
+                    st.subheader("夜班散场预览（时间 > 17:30）")
+                    if part2_output:
+                        tab2_1, tab2_2 = st.tabs(["PDF 预览  ", "PNG 预览  "]) # Added spaces to make keys unique
+                        with tab2_1:
+                            st.markdown(display_pdf(part2_output['pdf']), unsafe_allow_html=True)
+                        with tab2_2:
+                            st.image(part2_output['png'])
+                    else:
+                        st.info("夜班部分没有数据")
+            else:
+                st.error("无法处理文件，请检查文件格式或内容是否正确。")
+        
+        # 3. Fallback for incorrect file
         else:
-            st.error("无法处理文件，请检查文件格式或内容是否正确。")
+            st.warning("文件名不匹配。请上传名为【放映时间核对表.xls】或【放映场次核对表.xls】的文件。")