simsite/venv/lib/python3.14/site-packages/PIL/PdfImagePlugin.py

#
# The Python Imaging Library.
# $Id$
#
# PDF (Acrobat) file handling
#
# History:
# 1996-07-16 fl   Created
# 1997-01-18 fl   Fixed header
# 2004-02-21 fl   Fixes for 1/L/CMYK images, etc.
# 2004-02-24 fl   Fixes for 1 and P images.
#
# Copyright (c) 1997-2004 by Secret Labs AB.  All rights reserved.
# Copyright (c) 1996-1997 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#

##
# Image plugin for PDF images (output only).
##
from __future__ import annotations

import io
import math
import os
import time
from typing import IO, Any

from . import Image, ImageFile, ImageSequence, PdfParser, features

#
# --------------------------------------------------------------------

# object ids:
#  1. catalogue
#  2. pages
#  3. image
#  4. page
#  5. page contents


def _save_all(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
    _save(im, fp, filename, save_all=True)


##
# (Internal) Image save plugin for the PDF format.


def _write_image(
    im: Image.Image,
    filename: str | bytes,
    existing_pdf: PdfParser.PdfParser,
    image_refs: list[PdfParser.IndirectReference],
) -> tuple[PdfParser.IndirectReference, str]:
    # FIXME: Should replace ASCIIHexDecode with RunLengthDecode
    # (packbits) or LZWDecode (tiff/lzw compression).  Note that
    # PDF 1.2 also supports Flatedecode (zip compression).

    params = None
    decode = None

    #
    # Get image characteristics

    width, height = im.size

    dict_obj: dict[str, Any] = {"BitsPerComponent": 8}
    if im.mode == "1":
        if features.check("libtiff"):
            decode_filter = "CCITTFaxDecode"
            dict_obj["BitsPerComponent"] = 1
            params = PdfParser.PdfArray(
                [
                    PdfParser.PdfDict(
                        {
                            "K": -1,
                            "BlackIs1": True,
                            "Columns": width,
                            "Rows": height,
                        }
                    )
                ]
            )
        else:
            decode_filter = "DCTDecode"
        dict_obj["ColorSpace"] = PdfParser.PdfName("DeviceGray")
        procset = "ImageB"  # grayscale
    elif im.mode == "L":
        decode_filter = "DCTDecode"
        # params = f"<< /Predictor 15 /Columns {width-2} >>"
        dict_obj["ColorSpace"] = PdfParser.PdfName("DeviceGray")
        procset = "ImageB"  # grayscale
    elif im.mode == "LA":
        decode_filter = "JPXDecode"
        # params = f"<< /Predictor 15 /Columns {width-2} >>"
        procset = "ImageB"  # grayscale
        dict_obj["SMaskInData"] = 1
    elif im.mode == "P":
        decode_filter = "ASCIIHexDecode"
        palette = im.getpalette()
        assert palette is not None
        dict_obj["ColorSpace"] = [
            PdfParser.PdfName("Indexed"),
            PdfParser.PdfName("DeviceRGB"),
            len(palette) // 3 - 1,
            PdfParser.PdfBinary(palette),
        ]
        procset = "ImageI"  # indexed color

        if "transparency" in im.info:
            smask = im.convert("LA").getchannel("A")
            smask.encoderinfo = {}

            image_ref = _write_image(smask, filename, existing_pdf, image_refs)[0]
            dict_obj["SMask"] = image_ref
    elif im.mode == "RGB":
        decode_filter = "DCTDecode"
        dict_obj["ColorSpace"] = PdfParser.PdfName("DeviceRGB")
        procset = "ImageC"  # color images
    elif im.mode == "RGBA":
        decode_filter = "JPXDecode"
        procset = "ImageC"  # color images
        dict_obj["SMaskInData"] = 1
    elif im.mode == "CMYK":
        decode_filter = "DCTDecode"
        dict_obj["ColorSpace"] = PdfParser.PdfName("DeviceCMYK")
        procset = "ImageC"  # color images
        decode = [1, 0, 1, 0, 1, 0, 1, 0]
    else:
        msg = f"cannot save mode {im.mode}"
        raise ValueError(msg)

    #
    # image

    op = io.BytesIO()

    if decode_filter == "ASCIIHexDecode":
        ImageFile._save(im, op, [ImageFile._Tile("hex", (0, 0) + im.size, 0, im.mode)])
    elif decode_filter == "CCITTFaxDecode":
        im.save(
            op,
            "TIFF",
            compression="group4",
            # use a single strip
            strip_size=math.ceil(width / 8) * height,
        )
    elif decode_filter == "DCTDecode":
        Image.SAVE["JPEG"](im, op, filename)
    elif decode_filter == "JPXDecode":
        del dict_obj["BitsPerComponent"]
        Image.SAVE["JPEG2000"](im, op, filename)
    else:
        msg = f"unsupported PDF filter ({decode_filter})"
        raise ValueError(msg)

    stream = op.getvalue()
    filter: PdfParser.PdfArray | PdfParser.PdfName
    if decode_filter == "CCITTFaxDecode":
        stream = stream[8:]
        filter = PdfParser.PdfArray([PdfParser.PdfName(decode_filter)])
    else:
        filter = PdfParser.PdfName(decode_filter)

    image_ref = image_refs.pop(0)
    existing_pdf.write_obj(
        image_ref,
        stream=stream,
        Type=PdfParser.PdfName("XObject"),
        Subtype=PdfParser.PdfName("Image"),
        Width=width,  # * 72.0 / x_resolution,
        Height=height,  # * 72.0 / y_resolution,
        Filter=filter,
        Decode=decode,
        DecodeParms=params,
        **dict_obj,
    )

    return image_ref, procset


def _save(
    im: Image.Image, fp: IO[bytes], filename: str | bytes, save_all: bool = False
) -> None:
    is_appending = im.encoderinfo.get("append", False)
    filename_str = filename.decode() if isinstance(filename, bytes) else filename
    if is_appending:
        existing_pdf = PdfParser.PdfParser(f=fp, filename=filename_str, mode="r+b")
    else:
        existing_pdf = PdfParser.PdfParser(f=fp, filename=filename_str, mode="w+b")

    dpi = im.encoderinfo.get("dpi")
    if dpi:
        x_resolution = dpi[0]
        y_resolution = dpi[1]
    else:
        x_resolution = y_resolution = im.encoderinfo.get("resolution", 72.0)

    info = {
        "title": (
            None if is_appending else os.path.splitext(os.path.basename(filename))[0]
        ),
        "author": None,
        "subject": None,
        "keywords": None,
        "creator": None,
        "producer": None,
        "creationDate": None if is_appending else time.gmtime(),
        "modDate": None if is_appending else time.gmtime(),
    }
    for k, default in info.items():
        v = im.encoderinfo.get(k) if k in im.encoderinfo else default
        if v:
            existing_pdf.info[k[0].upper() + k[1:]] = v

    #
    # make sure image data is available
    im.load()

    existing_pdf.start_writing()
    existing_pdf.write_header()
    existing_pdf.write_comment("created by Pillow PDF driver")

    #
    # pages
    ims = [im]
    if save_all:
        append_images = im.encoderinfo.get("append_images", [])
        for append_im in append_images:
            append_im.encoderinfo = im.encoderinfo.copy()
            ims.append(append_im)
    number_of_pages = 0
    image_refs = []
    page_refs = []
    contents_refs = []
    for im in ims:
        im_number_of_pages = 1
        if save_all:
            im_number_of_pages = getattr(im, "n_frames", 1)
        number_of_pages += im_number_of_pages
        for i in range(im_number_of_pages):
            image_refs.append(existing_pdf.next_object_id(0))
            if im.mode == "P" and "transparency" in im.info:
                image_refs.append(existing_pdf.next_object_id(0))

            page_refs.append(existing_pdf.next_object_id(0))
            contents_refs.append(existing_pdf.next_object_id(0))
            existing_pdf.pages.append(page_refs[-1])

    #
    # catalog and list of pages
    existing_pdf.write_catalog()

    page_number = 0
    for im_sequence in ims:
        im_pages: ImageSequence.Iterator | list[Image.Image] = (
            ImageSequence.Iterator(im_sequence) if save_all else [im_sequence]
        )
        for im in im_pages:
            image_ref, procset = _write_image(im, filename, existing_pdf, image_refs)

            #
            # page

            existing_pdf.write_page(
                page_refs[page_number],
                Resources=PdfParser.PdfDict(
                    ProcSet=[PdfParser.PdfName("PDF"), PdfParser.PdfName(procset)],
                    XObject=PdfParser.PdfDict(image=image_ref),
                ),
                MediaBox=[
                    0,
                    0,
                    im.width * 72.0 / x_resolution,
                    im.height * 72.0 / y_resolution,
                ],
                Contents=contents_refs[page_number],
            )

            #
            # page contents

            page_contents = b"q %f 0 0 %f 0 0 cm /image Do Q\n" % (
                im.width * 72.0 / x_resolution,
                im.height * 72.0 / y_resolution,
            )

            existing_pdf.write_obj(contents_refs[page_number], stream=page_contents)

            page_number += 1

    #
    # trailer
    existing_pdf.write_xref_and_trailer()
    if hasattr(fp, "flush"):
        fp.flush()
    existing_pdf.close()


#
# --------------------------------------------------------------------


Image.register_save("PDF", _save)
Image.register_save_all("PDF", _save_all)

Image.register_extension("PDF", ".pdf")

Image.register_mime("PDF", "application/pdf")