feat(agents): добавлены skills для PDF, docs, slides, jupyter и spreadsheet
- Зачем: - расширены возможности AI-ассистентов для работы с документами и презентациями - Что: - добавлен skill pdf для работы с PDF файлами - добавлен skill doc для работы с Word документами - добавлен skill slides для создания презентаций PowerPoint - добавлен skill jupyter-notebook для работы с Jupyter ноутбуками - добавлен skill spreadsheet для работы с таблицами (Excel/CSV) - изменена модель Claude с sonnet на opus - Проверка: - проверка доступности skills в AI-ассистентах
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#!/usr/bin/env python3
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"""Copyright (c) OpenAI. All rights reserved.
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Ensures input images are rasterized, converting to PNG when needed. Primarily used to
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preview image assets extracted from PowerPoint files.
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Dependencies used by this tool:
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- Inkscape: SVG/EMF/WMF rasterization
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- ImageMagick: format bridging (TIFF→PNG, generic convert)
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- Ghostscript: PDF/EPS/PS rasterization (first page)
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- libheif-examples: heif-convert for HEIC/HEIF → PNG
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- jxr-tools (or libjxr-tools on older distros): JxrDecApp for JPEG XR (JXR/WDP)
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Install (Ubuntu/Debian):
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sudo apt-get update
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sudo apt-get install -y inkscape imagemagick ghostscript libheif-examples jxr-tools
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# If jxr-tools not found on your distro, try:
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# sudo apt-get install -y libjxr-tools
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Verify:
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inkscape --version
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convert -version | grep -i "ImageMagick"
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gs -v
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heif-convert -h
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JxrDecApp -h
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"""
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import argparse
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import gzip
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import shutil
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from os import listdir
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from os.path import basename, dirname, expanduser, isfile, join, splitext
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from subprocess import run
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RASTER_EXTS = {
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".png",
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".jpg",
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".jpeg",
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".bmp",
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".gif",
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".tif",
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".tiff",
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".webp",
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}
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CONVERTIBLE_EXTS = {
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# Windows metafiles (and compressed variants)
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".emf",
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".wmf",
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".emz",
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".wmz",
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# SVG
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".svg",
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".svgz",
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# JPEG XR / HD Photo
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".wdp",
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".jxr",
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# HEIF family
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".heic",
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".heif",
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# Page-description formats (rasterize first page)
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".pdf",
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".eps",
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".ps",
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}
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SUPPORTED_EXTS = RASTER_EXTS | CONVERTIBLE_EXTS
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def _imagemagick_convert(src_path: str, dst_path: str) -> None:
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binary = shutil.which("magick") or "convert"
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run([binary, src_path, dst_path], check=True)
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def ensure_raster_image(path: str, out_dir: str | None = None) -> str:
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"""Return a raster image path for the given input, converting when needed.
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- EMF/WMF/EMZ/WMZ are rasterized via Inkscape (EMZ/WMZ are decompressed first)
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- SVG/SVGZ are rasterized via Inkscape
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- WDP/JXR are converted via ImageMagick (if codec available)
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- Known raster formats are returned as-is
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Raises ValueError if the extension is not supported.
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"""
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base, ext = splitext(path)
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ext_lower = ext.lower()
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out_dir = out_dir or dirname(path)
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out_path = join(out_dir, basename(base) + ".png")
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# Convertible formats
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if ext_lower in (".emf", ".wmf"):
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run(["inkscape", path, "-o", out_path], check=True)
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if isfile(out_path):
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return out_path
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raise RuntimeError("inkscape reported success but output file not found: " + out_path)
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if ext_lower in (".emz", ".wmz"):
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# Decompress into EMF/WMF then rasterize with Inkscape
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decompressed = join(out_dir, basename(base) + (".emf" if ext_lower == ".emz" else ".wmf"))
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with gzip.open(path, "rb") as zin, open(decompressed, "wb") as zout:
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zout.write(zin.read())
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run(
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["inkscape", decompressed, "-o", out_path],
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check=True,
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)
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if isfile(out_path):
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return out_path
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raise RuntimeError("inkscape reported success but output file not found: " + out_path)
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if ext_lower in (".svg", ".svgz"):
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run(["inkscape", path, "-o", out_path], check=True)
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if isfile(out_path):
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return out_path
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raise RuntimeError("inkscape reported success but output file not found: " + out_path)
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if ext_lower in (".wdp", ".jxr"):
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tmp_tiff = join(out_dir, basename(base) + ".tiff")
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run(["JxrDecApp", "-i", path, "-o", tmp_tiff], check=True)
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_imagemagick_convert(tmp_tiff, out_path)
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if isfile(out_path):
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return out_path
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raise RuntimeError("JPEG XR decode succeeded but PNG not found: " + out_path)
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if ext_lower in (".heic", ".heif"):
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# Use libheif's CLI for robust conversion
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heif_convert = shutil.which("heif-convert") or "heif-convert"
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run([heif_convert, path, out_path], check=True)
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if isfile(out_path):
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return out_path
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raise RuntimeError("heif-convert reported success but output file not found: " + out_path)
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if ext_lower in (".pdf", ".eps", ".ps"):
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# Rasterize first page via Ghostscript
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gs = shutil.which("gs") or "gs"
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run(
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[
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gs,
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"-dSAFER",
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"-dBATCH",
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"-dNOPAUSE",
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"-sDEVICE=pngalpha",
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"-dFirstPage=1",
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"-dLastPage=1",
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"-r200",
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"-o",
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out_path,
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path,
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],
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check=True,
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)
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if isfile(out_path):
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return out_path
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raise RuntimeError("Ghostscript reported success but output file not found: " + out_path)
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if ext_lower in RASTER_EXTS:
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return path
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raise ValueError(f"Unsupported image format for montage: {path}")
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def main() -> None:
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parser = argparse.ArgumentParser(
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description=("Ensure input images are rasterized; convert to PNG if needed.")
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)
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group = parser.add_mutually_exclusive_group(required=True)
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group.add_argument("--input_files", nargs="+", help="List of input image file paths")
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group.add_argument("--input_dir", help="Directory containing input images")
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parser.add_argument(
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"--output_dir",
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default=None,
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help=(
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"Directory to write converted PNGs. If omitted, converted files are written next to inputs."
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),
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)
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args = parser.parse_args()
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if args.input_files:
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paths = [expanduser(p) for p in args.input_files]
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else:
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input_dir = expanduser(args.input_dir)
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names = listdir(input_dir)
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paths = [
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join(input_dir, f)
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for f in names
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if isfile(join(input_dir, f)) and splitext(f)[1].lower() in SUPPORTED_EXTS
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]
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if not paths:
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raise SystemExit("No files with supported extensions in input_dir")
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out_dir = expanduser(args.output_dir) if args.output_dir else None
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converted_paths = []
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for p in paths:
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if ensure_raster_image(p, out_dir) != p:
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converted_paths.append(p)
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if converted_paths:
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print("Converted the following files to PNG:\n" + "\n".join(converted_paths))
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if __name__ == "__main__":
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main()
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