GradioFolderTree / backup1.app.py
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import gradio as gr
from pathlib import Path
import datetime
import re
import requests
import os
import shutil
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Table, TableStyle
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.pagesizes import letter, A4, legal, landscape
from reportlab.lib.units import inch
from reportlab.lib import colors
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
# --- Configuration & Setup ---
# These settings define the available layouts and directories for fonts and outputs.
LAYOUTS = {
"A4 Portrait": {"size": A4},
"A4 Landscape": {"size": landscape(A4)},
"Letter Portrait": {"size": letter},
"Letter Landscape": {"size": landscape(letter)},
"Legal Portrait": {"size": legal},
"Legal Landscape": {"size": landscape(legal)},
}
OUTPUT_DIR = Path("generated_pdfs")
OUTPUT_DIR.mkdir(exist_ok=True)
FONT_DIR = Path("fonts")
FONT_DIR.mkdir(exist_ok=True)
# --- Font Handling ---
def download_default_font():
"""Downloads DejaVuSans as a default font if no fonts are available in the 'fonts' directory."""
dejavu_path = FONT_DIR / "DejaVuSans.ttf"
if not dejavu_path.exists():
print("No fonts found. Downloading default font (DejaVuSans)...")
try:
url = "https://github.com/dejavu-fonts/dejavu-fonts/blob/main/ttf/DejaVuSans.ttf?raw=true"
r = requests.get(url, allow_redirects=True)
r.raise_for_status()
with open(dejavu_path, "wb") as f:
f.write(r.content)
print("Default font downloaded successfully.")
return True
except Exception as e:
print(f"Failed to download default font: {e}")
return False
return True
def discover_and_register_fonts():
"""Finds .ttf files in the font directory, registers them with ReportLab, and returns their names."""
font_files = list(FONT_DIR.glob("*.ttf"))
if not font_files:
if not download_default_font():
return [] # Return empty if download fails
font_files = list(FONT_DIR.glob("*.ttf"))
font_names = []
for font_path in font_files:
try:
font_name = font_path.stem
pdfmetrics.registerFont(TTFont(font_name, str(font_path)))
font_names.append(font_name)
except Exception as e:
print(f"Could not register font {font_path.name}: {e}")
return sorted(font_names)
# --- ReportLab PDF Generation (Core Logic) ---
def markdown_to_story(markdown_text: str, font_name: str):
"""Converts a markdown string into a list of ReportLab Flowables ('story') with enhanced styling."""
styles = getSampleStyleSheet()
style_normal = ParagraphStyle('BodyText', parent=styles['BodyText'], fontName=font_name, spaceAfter=6)
style_h1 = ParagraphStyle('h1', parent=styles['h1'], fontName=font_name)
style_h2 = ParagraphStyle('h2', parent=styles['h2'], fontName=font_name)
style_h3 = ParagraphStyle('h3', parent=styles['h3'], fontName=font_name)
style_code = ParagraphStyle('Code', parent=styles['Code'], fontName=font_name, backColor=colors.whitesmoke, borderColor=colors.lightgrey, borderWidth=1, padding=(5, 5))
story = []
lines = markdown_text.split('\n')
in_code_block, in_table = False, False
code_block_text, table_data = "", []
for line in lines:
if line.strip().startswith('|') and line.strip().endswith('|'): # Table handler
if not in_table:
in_table = True
table_data = []
if all(c in '-|: ' for c in line.strip()): continue
cells = [cell.strip() for cell in line.strip().strip('|').split('|')]
table_data.append([Paragraph(cell, style_normal) for cell in cells])
continue
elif in_table:
in_table = False
if table_data:
table = Table(table_data, hAlign='LEFT', colWidths=[1.5*inch]*len(table_data[0]))
table.setStyle(TableStyle([('BACKGROUND', (0,0), (-1,0), colors.lightgrey), ('GRID', (0,0), (-1,-1), 1, colors.black)]))
story.append(table)
story.append(Spacer(1, 0.2 * inch))
table_data = []
if line.strip().startswith("```"): # Code block handler
in_code_block = not in_code_block
if not in_code_block:
story.append(Paragraph(code_block_text.replace('\n', '<br/>'), style_code))
code_block_text = ""
continue
if in_code_block:
code_block_text += line.replace('&', '&amp;').replace('<', '&lt;').replace('>', '&gt;') + '\n'
continue
# Markdown elements to ReportLab Flowables
if line.startswith("# "): story.append(Paragraph(line[2:], style_h1))
elif line.startswith("## "): story.append(Paragraph(line[3:], style_h2))
elif line.startswith("### "): story.append(Paragraph(line[4:], style_h3))
elif line.strip().startswith(("* ", "- ")): story.append(Paragraph(line.strip()[2:], style_normal, bulletText='β€’'))
elif re.match(r'^\d+\.\s', line.strip()): story.append(Paragraph(line.strip(), style_normal))
elif line.strip() == "": story.append(Spacer(1, 0.1 * inch))
else: story.append(Paragraph(re.sub(r'_(.*?)_', r'<i>\1</i>', re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', line)), style_normal))
return story
# --- Gradio API Function ---
def generate_pdfs_api(files, layouts, fonts, progress=gr.Progress(track_tqdm=True)):
"""Main function to drive PDF generation from the Gradio UI."""
if not files: raise gr.Error("Please upload at least one Markdown file.")
if not layouts: raise gr.Error("Please select at least one page layout.")
if not fonts: raise gr.Error("Please select at least one font.")
# Clean output directory before generation
if OUTPUT_DIR.exists():
for f in OUTPUT_DIR.glob('*'):
if f.is_file(): os.remove(f)
log_updates = "Starting PDF generation...\n"
total_pdfs = len(files) * len(layouts) * len(fonts)
for md_file_obj in progress.tqdm(files, desc="Processing Files"):
original_md_path = Path(md_file_obj.name)
log_updates += f"\nProcessing: **{original_md_path.name}**\n"
md_content = ""
with open(original_md_path, 'r', encoding='utf-8') as f:
md_content = f.read()
for layout_name in layouts:
for font_name in fonts:
status_text = f" - Generating: {layout_name}, {font_name}"
log_updates += status_text + "\n"
try:
date_str = datetime.datetime.now().strftime("%Y-%m-%d")
output_filename = f"{original_md_path.stem}_{layout_name.replace(' ', '-')}_{font_name}_{date_str}.pdf"
output_path = OUTPUT_DIR / output_filename
doc = SimpleDocTemplate(str(output_path), pagesize=LAYOUTS[layout_name]["size"], rightMargin=inch, leftMargin=inch, topMargin=inch, bottomMargin=inch)
story = markdown_to_story(md_content, font_name)
doc.build(story)
except Exception as e:
log_updates += f" - **ERROR**: Failed to process with font {font_name}: {e}\n"
log_updates += "\nβœ… PDF generation complete!"
generated_files = [str(f) for f in OUTPUT_DIR.glob("*.pdf")]
return generated_files, log_updates
# --- Gradio UI Definition ---
AVAILABLE_FONTS = discover_and_register_fonts()
SAMPLE_MARKDOWN = "# Sample Document\n\nThis is a sample markdown file. **ReportLab** is now creating the PDF with dynamic fonts and layouts.\n\n### Features\n- Item 1\n- Item 2\n\n| Header 1 | Header 2 |\n|----------|----------|\n| Cell 1 | Cell 2 |\n\n```python\ndef hello():\n print(\"Hello, PDF!\")\n```\n"
with gr.Blocks(theme=gr.themes.Soft(), title="Advanced PDF Generator") as demo:
gr.Markdown("# πŸ“„ Advanced Markdown to PDF Generator")
gr.Markdown("Upload Markdown files, select layouts and fonts, and generate multiple PDF variations.")
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("### βš™οΈ Generation Settings")
gr.Textbox(value=SAMPLE_MARKDOWN, label="Sample Markdown (for reference)", lines=10)
uploaded_files = gr.File(label="Upload Markdown Files (.md)", file_count="multiple", file_types=[".md"])
selected_layouts = gr.CheckboxGroup(choices=list(LAYOUTS.keys()), label="Select Page Layouts", value=list(LAYOUTS.keys())[0])
if not AVAILABLE_FONTS:
gr.Warning("No fonts found in 'fonts' directory. Using default.")
AVAILABLE_FONTS = ["Helvetica"] # ReportLab's default
selected_fonts = gr.CheckboxGroup(choices=AVAILABLE_FONTS, label="Select Fonts to Use", value=AVAILABLE_FONTS[0] if AVAILABLE_FONTS else None)
generate_btn = gr.Button("πŸš€ Generate PDFs", variant="primary")
with gr.Column(scale=2):
gr.Markdown("### πŸ“„ Results")
log_output = gr.Markdown(label="Generation Log", value="Logs will appear here...")
file_output = gr.Files(label="Download Generated PDFs")
generate_btn.click(fn=generate_pdfs_api, inputs=[uploaded_files, selected_layouts, selected_fonts], outputs=[file_output, log_output])
if __name__ == "__main__":
demo.launch()