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#!/usr/bin/env python3
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"""
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Extract every shape on every slide of a .pptx into a JSON dump.
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Usage:
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python extract_pptx.py <path/to/deck.pptx> # prints to stdout
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python extract_pptx.py <path/to/deck.pptx> -o dump.json
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The dump captures the *actual* state of the export — text content, position,
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size, and per-run typography (font name, size, bold, italic, color). Use this
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as the ground truth for the fidelity audit; do not trust the export script's
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intent.
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Coordinates are reported in inches (rounded to 3 decimals) so they're
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human-readable when comparing against rails like CONTENT_MAX_Y = 6.70".
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"""
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from __future__ import annotations
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import argparse
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import json
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import sys
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from pathlib import Path
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try:
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from pptx import Presentation
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from pptx.util import Emu
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except ImportError:
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sys.stderr.write(
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"python-pptx is required. Install with: pip install python-pptx\n"
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)
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sys.exit(2)
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def emu_to_in(emu: int | None) -> float | None:
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if emu is None:
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return None
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return round(emu / 914400, 3)
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def color_repr(color) -> str | None:
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"""Best-effort color extraction. Returns hex string or None."""
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if color is None:
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return None
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try:
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# ColorFormat.type may be None when no explicit color is set.
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if color.type is None:
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return None
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rgb = color.rgb
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if rgb is None:
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return None
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return f"#{str(rgb).lower()}"
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except (AttributeError, ValueError, TypeError):
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return None
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def extract_runs(text_frame) -> list[dict]:
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runs = []
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for para in text_frame.paragraphs:
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for run in para.runs:
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font = run.font
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runs.append({
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"text": run.text,
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"font": font.name,
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"size_pt": float(font.size.pt) if font.size is not None else None,
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"bold": bool(font.bold) if font.bold is not None else None,
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"italic": bool(font.italic) if font.italic is not None else None,
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# Color is independent of font name/size: a run can inherit
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# font from the theme yet set its own color. Color drift is
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# one of the things this audit needs to catch, so don't gate
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# the extraction on unrelated font attributes.
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"color": color_repr(font.color),
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})
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return runs
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def extract_shape(shape) -> dict:
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data = {
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"name": shape.name,
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"shape_type": str(shape.shape_type) if shape.shape_type is not None else None,
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"left_in": emu_to_in(shape.left),
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"top_in": emu_to_in(shape.top),
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"width_in": emu_to_in(shape.width),
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"height_in": emu_to_in(shape.height),
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}
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if shape.left is not None and shape.height is not None and shape.top is not None:
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data["bottom_in"] = emu_to_in(shape.top + shape.height)
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data["right_in"] = emu_to_in(shape.left + shape.width)
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if shape.has_text_frame:
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tf = shape.text_frame
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data["text"] = tf.text
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data["runs"] = extract_runs(tf)
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return data
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def extract_pptx(path: Path) -> dict:
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prs = Presentation(str(path))
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canvas = {
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"width_in": emu_to_in(prs.slide_width),
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"height_in": emu_to_in(prs.slide_height),
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}
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slides = []
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for i, slide in enumerate(prs.slides, 1):
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shapes = [extract_shape(s) for s in slide.shapes]
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slides.append({"index": i, "shapes": shapes})
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return {
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"source": str(path),
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"canvas": canvas,
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"slide_count": len(slides),
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"slides": slides,
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}
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def main() -> int:
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ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0])
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ap.add_argument("path", type=Path, help=".pptx file to extract")
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ap.add_argument("-o", "--output", type=Path, help="write JSON to this path; default stdout")
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args = ap.parse_args()
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if not args.path.exists():
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ap.error(f"file not found: {args.path}")
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data = extract_pptx(args.path)
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payload = json.dumps(data, ensure_ascii=False, indent=2)
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if args.output:
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args.output.write_text(payload, encoding="utf-8")
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sys.stderr.write(f"wrote {args.output} ({len(payload)} bytes, {data['slide_count']} slides)\n")
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else:
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sys.stdout.write(payload)
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sys.stdout.write("\n")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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