File size: 11,518 Bytes
f258b94 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 |
import streamlit as st
from pathlib import Path
import base64
import datetime
import re
from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.pagesizes import letter, A4, legal, landscape
from reportlab.lib.units import inch
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.lib import colors
# --- Configuration & Setup ---
# Define layouts using reportlab's pagesizes
LAYOUTS = {
"A4 Portrait": {"size": A4, "icon": "π"},
"A4 Landscape": {"size": landscape(A4), "icon": "π"},
"Letter Portrait": {"size": letter, "icon": "π"},
"Letter Landscape": {"size": landscape(letter), "icon": "π"},
"Legal Portrait": {"size": legal, "icon": "π"},
"Legal Landscape": {"size": landscape(legal), "icon": "π"},
}
# Directory to save the generated PDFs
OUTPUT_DIR = Path("generated_pdfs")
OUTPUT_DIR.mkdir(exist_ok=True)
# Path for the required emoji font file
EMOJI_FONT_PATH = Path("NotoColorEmoji-Regular.ttf")
# Regex to find and wrap emojis for ReportLab
EMOJI_PATTERN = re.compile(
"["
"\U0001F600-\U0001F64F" # emoticons
"\U0001F300-\U0001F5FF" # symbols & pictographs
"\U0001F680-\U0001F6FF" # transport & map symbols
"\U0001F700-\U0001F77F" # alchemical symbols
"\U0001F780-\U0001F7FF" # Geometric Shapes Extended
"\U0001F800-\U0001F8FF" # Supplemental Arrows-C
"\U0001F900-\U0001F9FF" # Supplemental Symbols and Pictographs
"\U0001FA00-\U0001FA6F" # Chess Symbols
"\U0001FA70-\U0001FAFF" # Symbols and Pictographs Extended-A
"\U00002702-\U000027B0" # Dingbats
"\U000024C2-\U0001F251"
"]+",
flags=re.UNICODE,
)
# --- Core PDF Generation Class ---
class PDFGenerator:
"""
An object-oriented approach to generating PDFs.
Handles font registration, markdown parsing, and PDF creation.
"""
def __init__(self, font_path: Path):
"""
β¨ To start the PDF show, a font we must know.
Initializes the generator and registers the necessary emoji font.
"""
self.emoji_font_name = "NotoEmoji"
self._register_emoji_font(font_path)
def _register_emoji_font(self, font_path: Path):
"""
βοΈ Before new fonts can grace the page, first they must be set on stage.
Registers the TTF font file with ReportLab if the file exists.
"""
if font_path.exists():
pdfmetrics.registerFont(TTFont(self.emoji_font_name, font_path))
else:
# Provide a helpful error in the web app if the font is missing
st.error(f"Emoji font not found at '{font_path}'. Emojis will not be rendered. Please download it.")
self.emoji_font_name = "Helvetica" # Fallback to a standard font
def _wrap_emojis_for_reportlab(self, text: str) -> str:
"""
π To make emojis appear so grand, wrap them with a font command.
Finds all emojis and wraps them in ReportLab <font> tags.
"""
# If the emoji font failed to register, don't try to use it.
if self.emoji_font_name != "NotoEmoji":
return text
# The lambda function takes each matched emoji (m) and wraps it.
return EMOJI_PATTERN.sub(lambda m: f'<font name="{self.emoji_font_name}">{m.group(0)}</font>', text)
def _markdown_to_story(self, markdown_text: str) -> list:
"""
π From markdown text, a simple scrawl, this story builder answers the call.
Converts a markdown string π into a list of ReportLab Flowables (a 'story').
"""
styles = getSampleStyleSheet()
# Define custom styles for different markdown elements
style_normal = styles['BodyText']
style_h1 = styles['h1']
style_h2 = styles['h2']
style_h3 = styles['h3']
# Use a monospaced font for code blocks
style_code = ParagraphStyle('Code', parent=styles['Normal'], fontName='Courier', textColor=colors.darkred)
story = []
lines = markdown_text.split('\n')
in_code_block = False
code_block_text = ""
for line in lines:
# Handle code blocks (```)
if line.strip().startswith("```"):
if in_code_block:
story.append(Paragraph(code_block_text, style_code))
in_code_block = False
code_block_text = ""
else:
in_code_block = True
continue
if in_code_block:
# Escape HTML-sensitive characters and preserve line breaks within code
escaped_line = line.replace('&', '&').replace('<', '<').replace('>', '>')
code_block_text += escaped_line + '<br/>'
continue
# This is where we process each line for emojis BEFORE creating a Paragraph
processed_line = self._wrap_emojis_for_reportlab(line)
# Handle markdown syntax
if processed_line.startswith("# "):
story.append(Paragraph(self._wrap_emojis_for_reportlab(processed_line[2:]), style_h1))
elif processed_line.startswith("## "):
story.append(Paragraph(self._wrap_emojis_for_reportlab(processed_line[3:]), style_h2))
elif processed_line.startswith("### "):
story.append(Paragraph(self._wrap_emojis_for_reportlab(processed_line[4:]), style_h3))
elif processed_line.strip().startswith(("* ", "- ")):
story.append(Paragraph(f"β’ {self._wrap_emojis_for_reportlab(processed_line.strip()[2:])}", style_normal))
elif re.match(r'^\d+\.\s', processed_line.strip()):
story.append(Paragraph(processed_line.strip(), style_normal))
elif processed_line.strip() == "":
story.append(Spacer(1, 0.2 * inch))
else:
# Handle bold (**) and italics (_) using ReportLab's rich text tags
formatted_line = re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', processed_line)
formatted_line = re.sub(r'_(.*?)_', r'<i>\1</i>', formatted_line)
story.append(Paragraph(formatted_line, style_normal))
return story
def create_pdf(self, md_asset: Path, layout_name: str, layout_properties: dict):
"""
π With content and a layout's grace, this function builds the PDF space.
Creates a single PDF file π from a given markdown file π.
"""
try:
md_content = md_asset.read_text(encoding="utf-8")
date_str = datetime.datetime.now().strftime("%Y-%m-%d")
output_filename = f"{md_asset.stem}_{layout_name.replace(' ', '-')}_{date_str}.pdf"
output_path = OUTPUT_DIR / output_filename
# The SimpleDocTemplate handles the page creation and content flow
doc = SimpleDocTemplate(
str(output_path),
pagesize=layout_properties.get("size", A4),
rightMargin=inch,
leftMargin=inch,
topMargin=inch,
bottomMargin=inch
)
story = self._markdown_to_story(md_content)
# The .build() method takes the story and renders the PDF
doc.build(story)
except Exception as e:
st.error(f"Failed to process {md_asset.name} with ReportLab: {e}")
# --- Streamlit UI and File Handling ---
def get_file_download_link(file_path: Path) -> str:
"""
π To grab your file and not delay, a special link is paved today.
Generates a base64-encoded download link for a file.
"""
with open(file_path, "rb") as f:
data = base64.b64encode(f.read()).decode()
return f'<a href="data:application/octet-stream;base64,{data}" download="{file_path.name}">Download</a>'
def display_file_explorer():
"""
π To see your files, both old and new, this handy explorer gives a view.
Renders a simple file explorer in the Streamlit app for MD and PDF files.
"""
st.header("π File Explorer")
st.subheader("Source Markdown Files (.md)")
md_files = list(Path(".").glob("*.md"))
if not md_files:
st.info("No Markdown files found. A `sample.md` has been created for you.")
else:
for md_file in md_files:
col1, col2 = st.columns([0.8, 0.2])
with col1:
st.write(f"π `{md_file.name}`")
with col2:
st.markdown(get_file_download_link(md_file), unsafe_allow_html=True)
st.subheader("Generated PDF Files")
# Sort PDFs by modification time to show the newest first
pdf_files = sorted(list(OUTPUT_DIR.glob("*.pdf")), key=lambda p: p.stat().st_mtime, reverse=True)
if not pdf_files:
st.info("No PDFs generated yet. Click the button above to start.")
else:
for pdf_file in pdf_files:
col1, col2 = st.columns([0.8, 0.2])
with col1:
st.write(f"π `{pdf_file.name}`")
with col2:
st.markdown(get_file_download_link(pdf_file), unsafe_allow_html=True)
# --- Main App Execution ---
def main():
"""
π To run the app and make it go, call this main function, you know!
"""
st.set_page_config(layout="wide", page_title="PDF Generator")
st.title("π Markdown to PDF Generator")
st.markdown("This tool converts all `.md` files in this directory to PDF. It now supports emojis! π")
# Create a sample markdown file if none exist, to help new users.
if not list(Path(".").glob("*.md")):
with open("sample.md", "w", encoding="utf-8") as f:
f.write("# Sample Document π\n\nThis is a sample markdown file. **ReportLab** is creating the PDF. Emojis like π and π‘ should now appear correctly.\n\n### Features\n- Item 1\n- Item 2\n\n```\ndef hello_world():\n print(\"Hello, PDF! π\")\n```\n")
st.rerun()
# Instantiate our generator. It will handle font setup on its own.
pdf_generator = PDFGenerator(EMOJI_FONT_PATH)
if st.button("π Generate PDFs from all Markdown Files", type="primary"):
markdown_files = list(Path(".").glob("*.md"))
if not markdown_files:
st.warning("No `.md` files found. Please add a markdown file to the directory.")
else:
total_pdfs = len(markdown_files) * len(LAYOUTS)
progress_bar = st.progress(0, text="Starting PDF generation...")
pdf_count = 0
with st.spinner("Generating PDFs... Please wait."):
for md_file in markdown_files:
st.info(f"Processing: **{md_file.name}**")
for name, properties in LAYOUTS.items():
# Use the instance method to create the PDF
pdf_generator.create_pdf(md_file, name, properties)
pdf_count += 1
progress_bar.progress(pdf_count / total_pdfs, f"Generated {pdf_count}/{total_pdfs} PDFs...")
st.success("β
PDF generation complete!")
st.balloons()
# Rerun to refresh the file explorer immediately
st.rerun()
display_file_explorer()
if __name__ == "__main__":
main() |