Use python:3.12-slim + install only needed PDF libs (no full TexLive)
import logging, json class JSONFormatter(logging.Formatter): def format(self, record): return json.dumps( "time": self.formatTime(record), "level": record.levelname, "msg": record.getMessage(), )
This is for e-invoicing (ZUGFeRD, Factur-X). Use python:3
For heavy enterprise workflows, MinerU provides a complete solution to parse a wide array of document types—PDFs, images, DOCX, and XLSX—into LLM-ready Markdown and JSON. It’s designed to be the backbone of agentic workflows, automating the entire extraction process.
def process_event(event): match event: case "type": "click", "position": (x, y): return f"Clicked at x, y" case "type": "keypress", "key": str(k) if len(k) == 1: return f"Key pressed: k" case _: return "Unknown event" Use code with caution. 2. Type Hinting and Static Analysis with Mypy y): return f"Clicked at x
def generate_large_pdf(data_stream): doc = SimpleDocTemplate("large.pdf", pagesize=letter) story = [] for i, record in enumerate(data_stream): story.append(Paragraph(str(record))) if i % 100 == 0: story.append(PageBreak()) doc.build(story)
def handle_command(cmd): match cmd.split(): case ["quit"]: return "Exiting" case ["hello", name]: return f"Hello name" case ["add", *numbers]: return sum(map(int, numbers)) case _: return "Unknown" y" case "type": "keypress"
Add metadata tracking which redactions occurred (audit log).