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Update app.py
Browse files
app.py
CHANGED
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@@ -11,10 +11,10 @@ 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 a font file,
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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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@@ -23,23 +23,20 @@ def get_pinyin_abbr(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 - len(chars))
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else:
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chars = chars[:2]
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# Get the first letter of the Pinyin
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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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# 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:
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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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# 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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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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@@ -58,6 +57,7 @@ def process_schedule(file):
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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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@@ -72,7 +72,7 @@ def process_schedule(file):
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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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@@ -89,118 +89,116 @@ def process_schedule(file):
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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:
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return None, date_str
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def create_print_layout(data, date_str):
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"""Creates
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if data is None or data.empty:
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return None
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#
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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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png_fig.subplots_adjust(left=0.
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# Create PDF image for download
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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.
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def process_figure(fig, ax, is_pdf=False):
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"""Shared function to draw the schedule on a matplotlib figure."""
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date_font = get_font(12)
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# Calculate row height to fill the page
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total_movies = len(data)
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# Add 2 to the total to create top and bottom margins
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total_divisions = total_movies + 2
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available_height_ax = 0.98 - 0.02 # Use 96% of the page height
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row_height_ax = available_height_ax / total_divisions
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row_height_pts = row_height_ax * fig_height_pts
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#
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#
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ha='left', va='top', fontproperties=date_font, transform=ax.transAxes, zorder=2)
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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_text = f"${hall_num}^{{\\#}}$"
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movie_count = 1
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for _, row in hall_data.iterrows():
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# Hall Number (left-aligned)
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if movie_count == 1:
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ax.text(0.03, y_position, hall_text,
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fontsize=hall_font_size, fontweight='bold',
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ha='left', va='top', fontproperties=hall_font,
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transform=ax.transAxes, zorder=2)
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pinyin_abbr = get_pinyin_abbr(row['Movie'])
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#
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#
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# 2. Sequence Number (left-aligned)
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ax.text(0.57, y_position, f"{movie_count}.",
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fontsize=font_size, ha='left', va='top', fontproperties=movie_font,
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transform=ax.transAxes, zorder=2)
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#
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ax.text(
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y_position -=
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movie_count += 1
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# Draw a black line to separate halls
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if i < len(halls) - 1:
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line_y = y_position + (row_height_ax / 2)
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ax.plot([0.03, 0.97], [line_y, line_y], color='black', linewidth=1, transform=ax.transAxes, zorder=1)
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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 buffer
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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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# Save PDF to buffer
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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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def display_pdf(base64_pdf):
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"""Generates the HTML to embed a PDF in Streamlit."""
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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
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st.title("LED
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uploaded_file = st.file_uploader("
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if uploaded_file:
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with st.spinner("
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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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#
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tab1, tab2 = st.tabs(["PDF
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with tab1:
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st.markdown(display_pdf(output['pdf']), unsafe_allow_html=True)
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with tab2:
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st.image(output['png'], use_container_width=True)
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else:
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st.error("
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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 a specific font file, falling back to a default if not found."""
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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" # Fallback font
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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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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
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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 today's 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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# 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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# Clean and process the data
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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['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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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['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 data processing: {e}")
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return None, date_str
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def create_print_layout(data, date_str):
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"""Creates PNG and PDF layouts for the schedule, designed to fill an A4 page."""
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if data is None or data.empty:
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return None
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# --- Figure setup for both PNG and PDF ---
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# We create two figures to handle potential differences in rendering pipelines
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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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png_fig.subplots_adjust(left=0.05, right=0.95, top=0.95, bottom=0.05)
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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=0.05, right=0.95, top=0.95, bottom=0.05)
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def process_figure(fig, ax):
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"""The core logic to draw the schedule on a given matplotlib axis."""
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# --- Dynamic Calculation for Layout ---
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halls = sorted(data['Hall'].unique(), key=lambda h: int(h.replace('号','')))
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num_movies = len(data)
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num_halls = len(halls)
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# Total slots = one for each movie + one for each separator + 2 for padding
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totalA = num_movies + (num_halls - 1) + 2
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available_height = 0.95 # Usable portion of the page
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line_height = available_height / totalA
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# --- Dynamic Font Size Calculation ---
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# Base font size is proportional to the line height to ensure it fits
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# The factor (e.g., 60) is an empirical value that provides a good look
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dynamic_font_size = line_height * 60
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main_font = get_font(dynamic_font_size)
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hall_font = get_font(dynamic_font_size * 1.2) # Make hall font slightly larger
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date_font = get_font(12)
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# Draw the date at the top
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ax.text(0.01, 0.98, date_str, ha='left', va='top', fontproperties=date_font, color='#A9A9A9', transform=ax.transAxes)
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y_position = 0.96 # Starting y-position from the top
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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_text = f"{hall.replace('号', '')}"
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movie_count = 1
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# Draw Hall Number (only once per hall block)
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ax.text(0.03, y_position - (line_height / 2), hall_num_text,
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fontsize=dynamic_font_size * 1.5, fontweight='bold', ha='center', va='center',
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fontproperties=hall_font, transform=ax.transAxes)
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for _, row in hall_data.iterrows():
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pinyin_abbr = get_pinyin_abbr(row['Movie'])
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# --- Content Layout per line ---
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# Column positions are defined as fractions of the page width
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x_movie_name = 0.48
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x_movie_num = 0.1
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x_pinyin = 0.18
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x_time = 0.82
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# 1. Movie Name (Right-aligned in its zone)
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ax.text(x_movie_name, y_position, row['Movie'],
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ha='right', va='center', fontproperties=main_font, transform=ax.transAxes)
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# 2. Sequence Number (Left-aligned)
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ax.text(x_movie_num, y_position, f"{movie_count}.",
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ha='left', va='center', fontproperties=main_font, transform=ax.transAxes)
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# 3. Pinyin Abbreviation (Left-aligned)
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ax.text(x_pinyin, y_position, pinyin_abbr,
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ha='left', va='center', fontproperties=main_font, transform=ax.transAxes)
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# 4. Time (Left-aligned)
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time_str = f"{row['StartTime_str']} - {row['EndTime_str']}"
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ax.text(x_time, y_position, time_str,
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ha='left', va='center', fontproperties=main_font, transform=ax.transAxes)
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y_position -= line_height
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movie_count += 1
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# Add a separator line after each hall block, except for the last one
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+
if i < num_halls - 1:
|
| 183 |
+
y_position -= (line_height / 2) # small gap for the line
|
| 184 |
+
ax.axhline(y=y_position, xmin=0.02, xmax=0.98, color='black', linewidth=0.8)
|
| 185 |
+
y_position -= (line_height / 2) # gap after the line
|
| 186 |
+
|
| 187 |
+
# --- Generate Outputs ---
|
| 188 |
+
# Process both figures with the same logic
|
| 189 |
process_figure(png_fig, png_ax)
|
| 190 |
+
process_figure(pdf_fig, pdf_ax)
|
| 191 |
|
| 192 |
+
# Save PNG to a buffer
|
| 193 |
png_buffer = io.BytesIO()
|
| 194 |
png_fig.savefig(png_buffer, format='png', bbox_inches='tight', pad_inches=0.05)
|
| 195 |
png_buffer.seek(0)
|
| 196 |
image_base64 = base64.b64encode(png_buffer.getvalue()).decode()
|
| 197 |
plt.close(png_fig)
|
| 198 |
|
| 199 |
+
# Save PDF to a buffer
|
| 200 |
pdf_buffer = io.BytesIO()
|
| 201 |
+
pdf_fig.savefig(pdf_buffer, format='pdf', bbox_inches='tight', pad_inches=0.05)
|
|
|
|
| 202 |
pdf_buffer.seek(0)
|
| 203 |
pdf_base64 = base64.b64encode(pdf_buffer.getvalue()).decode()
|
| 204 |
plt.close(pdf_fig)
|
|
|
|
| 210 |
|
| 211 |
def display_pdf(base64_pdf):
|
| 212 |
"""Generates the HTML to embed a PDF in Streamlit."""
|
| 213 |
+
return f'<iframe src="{base64_pdf}" width="100%" height="800" type="application/pdf"></iframe>'
|
|
|
|
|
|
|
|
|
|
| 214 |
|
| 215 |
+
# --- Streamlit App Main ---
|
| 216 |
+
st.set_page_config(page_title="LED Screen Schedule Printer", layout="wide")
|
| 217 |
+
st.title("LED Screen Schedule Printer")
|
| 218 |
|
| 219 |
+
uploaded_file = st.file_uploader("Select '放映时间核对表.xls' file", type=["xls"])
|
| 220 |
|
| 221 |
if uploaded_file:
|
| 222 |
+
with st.spinner("Processing file, please wait..."):
|
| 223 |
schedule, date_str = process_schedule(uploaded_file)
|
| 224 |
if schedule is not None:
|
| 225 |
output = create_print_layout(schedule, date_str)
|
| 226 |
|
| 227 |
+
# Use tabs for PDF and PNG previews
|
| 228 |
+
tab1, tab2 = st.tabs(["PDF Preview", "PNG Preview"])
|
| 229 |
|
| 230 |
with tab1:
|
| 231 |
st.markdown(display_pdf(output['pdf']), unsafe_allow_html=True)
|
|
|
|
| 233 |
with tab2:
|
| 234 |
st.image(output['png'], use_container_width=True)
|
| 235 |
else:
|
| 236 |
+
st.error("Could not process the file. Please check if the file format and content are correct.")
|