M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

#!/usr/bin/env python3 """Extract translatable text units from a DOCX file to JSON.""" import json import re import sys from pathlib import Path from docx import Document CODE_PATTERN = re.compile(r"^\s*\d{3}-\d{5}[A-Z]?\s*$|^\s*\d{6}\s*$") def extract_units(docx_path: str) -> list: doc = Document(docx_path) units = [] # Body paragraphs for pi, p in enumerate(doc.paragraphs): style = p.style.name if p.style else "" for ri, run in enumerate(p.runs): text = run.text if text and text.strip() and not CODE_PATTERN.match(text.strip()): units.append({ "id": f"body:p{pi}:r{ri}", "source": text, "style": style, "where": "body" }) # Headers/Footers for si, section in enumerate(doc.sections): for pi, p in enumerate(section.header.paragraphs): for ri, run in enumerate(p.runs): text = run.text if text and text.strip(): units.append({ "id": f"header:s{si}:p{pi}:r{ri}", "source": text, "style": p.style.name if p.style else "", "where": "header" }) for pi, p in enumerate(section.footer.paragraphs): for ri, run in enumerate(p.runs): text = run.text if text and text.strip(): units.append({ "id": f"footer:s{si}:p{pi}:r{ri}", "source": text, "style": p.style.name if p.style else "", "where": "footer" }) return units if __name__ == "__main__": if len(sys.argv) < 3: print("Usage: python extract_docx.py <input.docx> <output.json>") sys.exit(1) units = extract_units(sys.argv[1]) Path(sys.argv[2]).write_text(json.dumps(units, ensure_ascii=False, indent=2), encoding="utf-8") print(f"Extracted {len(units)} units -> {sys.argv[2]}")