510 lines
19 KiB
Python
510 lines
19 KiB
Python
import struct
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from binascii import Error as BinasciiError
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from binascii import unhexlify
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from functools import partial
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from io import BytesIO
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from typing import Any, Union, cast
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from ._codecs import adobe_glyphs, charset_encoding
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from ._utils import logger_error, logger_warning
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from .errors import LimitReachedError
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from .generic import (
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ArrayObject,
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DecodedStreamObject,
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DictionaryObject,
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NullObject,
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StreamObject,
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)
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_predefined_cmap: dict[str, str] = {
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"/Identity-H": "utf-16-be",
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"/Identity-V": "utf-16-be",
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"/GB-EUC-H": "gbk",
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"/GB-EUC-V": "gbk",
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"/GBpc-EUC-H": "gb2312",
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"/GBpc-EUC-V": "gb2312",
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"/GBK-EUC-H": "gbk",
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"/GBK-EUC-V": "gbk",
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"/GBK2K-H": "gb18030",
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"/GBK2K-V": "gb18030",
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"/ETen-B5-H": "cp950",
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"/ETen-B5-V": "cp950",
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"/ETenms-B5-H": "cp950",
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"/ETenms-B5-V": "cp950",
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"/UniCNS-UTF16-H": "utf-16-be",
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"/UniCNS-UTF16-V": "utf-16-be",
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"/UniGB-UTF16-H": "gb18030",
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"/UniGB-UTF16-V": "gb18030",
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# Japanese CMaps (PDF Reference 1.7, Appendix H)
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"/90ms-RKSJ-H": "cp932", # Shift-JIS (JIS X 0208-1990), horizontal
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"/90ms-RKSJ-V": "cp932", # Shift-JIS (JIS X 0208-1990), vertical
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"/UniJIS-UTF16-H": "utf-16-be", # Unicode UTF-16BE -> JIS, horizontal
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"/UniJIS-UTF16-V": "utf-16-be", # Unicode UTF-16BE -> JIS, vertical
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# UCS2 in code
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}
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def get_encoding(
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ft: DictionaryObject
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) -> tuple[Union[str, dict[int, str]], dict[Any, Any]]:
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encoding = _parse_encoding(ft)
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map_dict, int_entry = _parse_to_unicode(ft)
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# Apply rule from PDF ref 1.7 §5.9.1, 1st bullet:
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# if cmap not empty encoding should be discarded
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# (here transformed into identity for those characters)
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# If encoding is a string, it is expected to be an identity translation.
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if isinstance(encoding, dict):
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for x in int_entry:
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if x <= 255:
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encoding[x] = chr(x)
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return encoding, map_dict
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def _parse_encoding(
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ft: DictionaryObject
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) -> Union[str, dict[int, str]]:
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encoding: Union[str, list[str], dict[int, str]] = []
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# If ft["/Encoding"] exists, then use that for encoding. Otherwise, use StandardEncoding as a basis,
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# and add what the embedded font file says, if present. See Table 114, PDF Reference 1.7 / 2.0
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if "/Encoding" not in ft:
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if "/BaseFont" in ft and cast(str, ft["/BaseFont"]) in charset_encoding:
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# This will match Symbol and ZapfDingBats
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return dict(
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zip(range(256), charset_encoding[cast(str, ft["/BaseFont"])])
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)
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# Return StandardEncoding as fallback option. Note that a font's internal encoding can be used
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# to overwrite this, which we do for Type1 fonts in _character_map_from_(cff_)type1_font_file.
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return dict(
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zip(range(256), charset_encoding["/StandardEncoding"])
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)
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enc: Union[str, DictionaryObject, NullObject] = cast(
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Union[str, DictionaryObject, NullObject], ft["/Encoding"].get_object()
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)
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if isinstance(enc, str):
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try:
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# already done : enc = NameObject.unnumber(enc.encode()).decode()
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# for #xx decoding
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if enc in charset_encoding:
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encoding = charset_encoding[enc].copy()
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elif enc in _predefined_cmap:
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encoding = _predefined_cmap[enc]
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elif "-UCS2-" in enc:
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encoding = "utf-16-be"
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else:
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raise Exception("not found")
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except Exception:
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logger_error("Advanced encoding %(encoding)s not implemented yet", source=__name__, encoding=enc)
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encoding = enc
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elif isinstance(enc, DictionaryObject) and "/BaseEncoding" in enc:
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try:
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encoding = charset_encoding[cast(str, enc["/BaseEncoding"])].copy()
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except Exception:
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logger_error(
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"Advanced encoding %(encoding)s not implemented yet",
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source=__name__, encoding=encoding
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)
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encoding = charset_encoding["/StandardEncoding"].copy()
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else:
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encoding = charset_encoding["/StandardEncoding"].copy()
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if isinstance(enc, DictionaryObject) and "/Differences" in enc:
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x: int = 0
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o: Union[int, str]
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differences = enc["/Differences"].get_object()
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if not isinstance(differences, ArrayObject):
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logger_warning(
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"Font encoding differences are not an array: %(differences)s",
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source=__name__,
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differences=differences,
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)
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differences = ArrayObject()
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for o in differences:
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if isinstance(o, int):
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x = o
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else: # isinstance(o, str):
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try:
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if x < len(encoding):
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encoding[x] = adobe_glyphs[o] # type: ignore[index]
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except Exception:
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encoding[x] = o # type: ignore[index]
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x += 1
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if isinstance(encoding, list):
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encoding = dict(zip(range(256), encoding))
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return encoding
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def _parse_to_unicode(
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ft: DictionaryObject
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) -> tuple[dict[Any, Any], list[int]]:
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from ._font import HAS_FONTTOOLS # noqa: PLC0415
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# We store all character mappings in map_dict. In map_dict[-1] we store the byte length
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# of the character codes (or CIDs) encoded inside the ToUnicode stream.
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map_dict: dict[Any, Any] = {}
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# We provide the list of cmap keys in int_entry to correct encoding later on in get_encoding().
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int_entry: list[int] = []
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if "/ToUnicode" not in ft:
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if ft.get("/Subtype", "") == "/Type1":
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font_descriptor = ft.get("/FontDescriptor")
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if not font_descriptor:
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return map_dict, int_entry
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# We try to read encoding from an embedded font file, if we can. See Table 126 about embedded font
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# file organization in the PDF specification 1.7 for details.
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font_file_handlers = (
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# A normal Type1 font file, can be part of a Type1 or MMType1 font dictionary.
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(
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"/FontFile",
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lambda _: True,
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_character_map_from_type1_font_file
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),
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# A CFF Type1 font file, as part of a Type1 or MMType1 font dictionary, when subtype is Type1C.
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(
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"/FontFile3",
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lambda stream: stream.get("/Subtype") == "/Type1C",
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_character_map_from_cff_type1_font_file,
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)
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)
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for font_file, condition, font_file_processor in font_file_handlers:
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if (
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font_file in font_descriptor and
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isinstance(font_file_dict := font_descriptor[font_file], StreamObject) and
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condition(font_file_dict)
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):
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if font_file == "/FontFile3" and not HAS_FONTTOOLS:
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logger_warning(
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(
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"fontTools is required to fully parse the encoding of a CFF Type1 font in font "
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"dictionary %(ft)s, but is not installed. Consider installing fontTools if you "
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"encounter encoding problems."
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),
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source=__name__,
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ft=ft,
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)
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return map_dict, int_entry
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font_file_data = font_file_dict.get_data()
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if not font_file_data:
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return map_dict, int_entry
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return font_file_processor(font_file_data, map_dict, int_entry)
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return map_dict, int_entry
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return {}, []
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process_rg: bool = False
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process_char: bool = False
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multiline_rg: Union[
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tuple[int, int], None
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] = None # tuple = (current_char, remaining size) ; cf #1285 for example of file
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cm = prepare_cm(ft)
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for line in cm.split(b"\n"):
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process_rg, process_char, multiline_rg = process_cm_line(
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line.strip(b" \t"),
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process_rg,
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process_char,
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multiline_rg,
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map_dict,
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int_entry,
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)
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map_dict.pop(-1, None) # Don't pass the -1 key, we only used it to temporarily store encoding length
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return map_dict, int_entry
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def prepare_cm(ft: DictionaryObject) -> bytes:
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tu = ft["/ToUnicode"]
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cm: bytes
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if isinstance(tu, StreamObject):
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cm = cast(DecodedStreamObject, ft["/ToUnicode"]).get_data()
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else: # if (tu is None) or cast(str, tu).startswith("/Identity"):
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# the full range 0000-FFFF will be processed
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cm = b"beginbfrange\n<0000> <0001> <0000>\nendbfrange"
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if isinstance(cm, str):
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cm = cm.encode()
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# we need to prepare cm before due to missing return line in pdf printed
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# to pdf from word
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cm = (
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cm.strip()
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.replace(b"beginbfchar", b"\nbeginbfchar\n")
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.replace(b"endbfchar", b"\nendbfchar\n")
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.replace(b"beginbfrange", b"\nbeginbfrange\n")
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.replace(b"endbfrange", b"\nendbfrange\n")
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.replace(b"<<", b"\n{\n") # text between << and >> not used but
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.replace(b">>", b"\n}\n") # some solution to find it back
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)
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ll = cm.split(b"<")
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for i in range(len(ll)):
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j = ll[i].find(b">")
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if j >= 0:
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if j == 0:
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# string is empty: stash a placeholder here (see below)
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# see https://github.com/py-pdf/pypdf/issues/1111
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content = b"."
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else:
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content = ll[i][:j].replace(b" ", b"")
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ll[i] = content + b" " + ll[i][j + 1 :]
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cm = (
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(b" ".join(ll))
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.replace(b"[", b" [ ")
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.replace(b"]", b" ]\n ")
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.replace(b"\r", b"\n")
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)
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return cm
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def process_cm_line(
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line: bytes,
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process_rg: bool,
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process_char: bool,
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multiline_rg: Union[tuple[int, int], None],
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map_dict: dict[Any, Any],
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int_entry: list[int],
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) -> tuple[bool, bool, Union[tuple[int, int], None]]:
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if line == b"" or line[0] == 37: # 37 = %
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return process_rg, process_char, multiline_rg
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line = line.replace(b"\t", b" ")
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if b"beginbfrange" in line:
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process_rg = True
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elif b"endbfrange" in line:
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process_rg = False
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elif b"beginbfchar" in line:
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process_char = True
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elif b"endbfchar" in line:
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process_char = False
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elif process_rg:
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try:
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multiline_rg = parse_bfrange(line, map_dict, int_entry, multiline_rg)
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except (ValueError, IndexError) as error:
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logger_warning("Skipping broken line %(line)r: %(error)s", source=__name__, line=line, error=error)
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elif process_char:
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try:
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parse_bfchar(line, map_dict, int_entry)
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except ValueError as error:
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logger_warning("Skipping broken line %(line)r: %(error)s", source=__name__, line=line, error=error)
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return process_rg, process_char, multiline_rg
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# Usual values should be up to 65_536.
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MAPPING_DICTIONARY_SIZE_LIMIT = 100_000
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# Typical /ToUnicode CMaps use 1-4 byte source codes.
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# This is intentionally generous.
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# The actual limit is doubled, as each byte is represented by two hex characters.
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MAX_CMAP_CODE_BYTES = 8
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MAX_CMAP_STRING_BYTES = 512
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MAX_CMAP_CODE_BYTES_LIMIT = MAX_CMAP_CODE_BYTES * 2
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MAX_CMAP_STRING_BYTES_LIMIT = MAX_CMAP_STRING_BYTES * 2
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def _check_mapping_size(size: int) -> None:
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if size > MAPPING_DICTIONARY_SIZE_LIMIT:
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raise LimitReachedError(f"Maximum /ToUnicode size limit reached: {size} > {MAPPING_DICTIONARY_SIZE_LIMIT}.")
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def _check_token_length(token: bytes, limit: int) -> None:
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token_length = len(token)
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if token_length > limit:
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description = {
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MAX_CMAP_CODE_BYTES_LIMIT: "code",
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MAX_CMAP_STRING_BYTES_LIMIT: "string",
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}.get(limit, "token")
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raise LimitReachedError(
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f"Maximum /ToUnicode {description} length exceeded: {token_length} > {limit}."
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)
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def __parse_bfrange__decode(map_dict: dict[Any, Any], code: int) -> str:
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# `map_dict[-1]` is the number of bytes each source code occupies. Building
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# the bytes directly with `int.to_bytes` avoids the hex round-trip of
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# `unhexlify(b"%%0%dX" % (map_dict[-1] * 2) % code)` (format to hex, parse
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# the hex back to bytes), which is measurably cheaper for large maps.
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return code.to_bytes(map_dict[-1], "big").decode(
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"charmap" if map_dict[-1] == 1 else "utf-16-be",
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"surrogatepass",
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)
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def parse_bfrange(
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line: bytes,
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map_dict: dict[Any, Any],
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int_entry: list[int],
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multiline_rg: Union[tuple[int, int], None],
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) -> Union[tuple[int, int], None]:
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lst = line.split()
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closure_found = False
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entry_count = len(int_entry)
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_check_mapping_size(entry_count)
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decode_utf16 = partial(bytes.decode, encoding="utf-16-be", errors="surrogatepass")
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if multiline_rg is not None:
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a = multiline_rg[0] # a, b not in the current line
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b = multiline_rg[1]
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for sq in lst:
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if sq == b"]":
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closure_found = True
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break
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_check_token_length(sq, limit=MAX_CMAP_STRING_BYTES_LIMIT)
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entry_count += 1
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_check_mapping_size(entry_count)
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map_dict[
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__parse_bfrange__decode(map_dict=map_dict, code=a)
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] = decode_utf16(unhexlify(sq))
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int_entry.append(a)
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a += 1
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else:
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_check_token_length(lst[0], limit=MAX_CMAP_CODE_BYTES_LIMIT)
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_check_token_length(lst[1], limit=MAX_CMAP_CODE_BYTES_LIMIT)
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a = int(lst[0], 16)
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b = int(lst[1], 16)
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nbi = max(len(lst[0]), len(lst[1]))
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map_dict[-1] = (nbi + 1) // 2
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if lst[2] == b"[":
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for sq in lst[3:]:
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if sq == b"]":
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closure_found = True
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break
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_check_token_length(sq, limit=MAX_CMAP_STRING_BYTES_LIMIT)
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entry_count += 1
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_check_mapping_size(entry_count)
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map_dict[
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__parse_bfrange__decode(map_dict=map_dict, code=a)
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] = decode_utf16(unhexlify(sq))
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int_entry.append(a)
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a += 1
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else: # case without list
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_check_token_length(lst[2], limit=MAX_CMAP_STRING_BYTES_LIMIT)
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c = int(lst[2], 16)
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fmt2 = b"%%0%dX" % max(4, len(lst[2]))
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closure_found = True
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range_size = max(0, b - a + 1)
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_check_mapping_size(entry_count + range_size) # This can be checked beforehand.
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while a <= b:
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destination = unhexlify(fmt2 % c)
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_check_token_length(destination, limit=MAX_CMAP_CODE_BYTES_LIMIT)
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map_dict[
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__parse_bfrange__decode(map_dict=map_dict, code=a)
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] = decode_utf16(destination)
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int_entry.append(a)
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a += 1
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c += 1
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return None if closure_found else (a, b)
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def parse_bfchar(line: bytes, map_dict: dict[Any, Any], int_entry: list[int]) -> None:
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lst = [x for x in line.split(b" ") if x]
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lst_length = len(lst)
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if lst_length == 0:
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logger_warning("Skipping broken line %(line)r: Line is empty.", source=__name__, line=line)
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return
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if lst_length % 2:
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logger_warning("Ignoring final token of odd-length line %(line)r.", source=__name__, line=line)
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new_count = lst_length // 2
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_check_mapping_size(len(int_entry) + new_count) # This can be checked beforehand.
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map_dict[-1] = len(lst[0]) // 2
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while len(lst) > 1:
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source = lst[0]
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destination = lst[1]
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_check_token_length(source, limit=MAX_CMAP_CODE_BYTES_LIMIT)
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map_to = ""
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# placeholder (see above) means empty string
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if destination != b".":
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_check_token_length(destination, limit=MAX_CMAP_STRING_BYTES_LIMIT)
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try:
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map_to = unhexlify(destination).decode(
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"charmap" if len(destination) < 4 else "utf-16-be", "surrogatepass"
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) # join is here as some cases where the code was split
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except BinasciiError as exception:
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logger_warning(
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"Got invalid hex string: %(exception)s (%(destination)r)",
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source=__name__,
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exception=exception,
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destination=destination,
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)
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map_dict[
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unhexlify(source).decode(
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"charmap" if map_dict[-1] == 1 else "utf-16-be", "surrogatepass"
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)
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] = map_to
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int_entry.append(int(source, 16))
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lst = lst[2:]
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def _glyph_name_to_unicode(glyph_name: str) -> Union[str, None]:
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try:
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return adobe_glyphs[glyph_name]
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except KeyError:
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if not glyph_name.startswith("/uni"):
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return None
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try:
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return chr(int(glyph_name[4:], 16))
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except ValueError: # pragma: no cover
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return None
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def _character_map_from_cff_type1_font_file(
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font_data: bytes,
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map_dict: dict[Any, Any],
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int_entry: list[int],
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) -> tuple[dict[Any, Any], list[int]]:
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try:
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from fontTools.cffLib import CFFFontSet # noqa: PLC0415
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cff_set = CFFFontSet()
|
|
cff_set.decompile(BytesIO(font_data), None) # This can raise ValueError, AssertionError, struct.error.
|
|
cff_font = cff_set.topDictIndex[0] # First font in CFF set; Can raise AttributeError or IndexError.
|
|
cff_encoding = cff_font.Encoding # Can raise AttributeError.
|
|
# Encoding can fall back to literal strings "StandardEncoding" or "ExpertEncoding", which we do not parse.
|
|
if isinstance(cff_encoding, str):
|
|
return map_dict, int_entry
|
|
for i in range(min(len(cff_encoding), 256)):
|
|
glyph_name = cff_encoding[i]
|
|
if not glyph_name or glyph_name == ".notdef":
|
|
continue
|
|
if unipoint := _glyph_name_to_unicode(f"/{glyph_name}"):
|
|
map_dict[chr(i)] = unipoint
|
|
int_entry.append(i)
|
|
return map_dict, int_entry
|
|
|
|
except (struct.error, AssertionError, AttributeError, IndexError, NotImplementedError, ValueError):
|
|
return map_dict, int_entry
|
|
|
|
|
|
def _character_map_from_type1_font_file(
|
|
font_data: bytes,
|
|
map_dict: dict[Any, Any],
|
|
int_entry: list[int],
|
|
) -> tuple[dict[Any, Any], list[int]]:
|
|
txt = font_data.split(b"eexec\n")[0] # Only the clear part
|
|
encoding_part = txt.split(b"/Encoding")
|
|
if len(encoding_part) < 2:
|
|
return map_dict, int_entry
|
|
txt = encoding_part[1] # To get the encoding part
|
|
lines = txt.replace(b"\r", b"\n").split(b"\n")
|
|
for li in lines:
|
|
if li.startswith(b"dup"):
|
|
words = [_w for _w in li.split(b" ") if _w != b""]
|
|
if len(words) < 3 or (len(words) > 3 and words[3] != b"put"):
|
|
continue
|
|
try:
|
|
i = int(words[1])
|
|
except ValueError:
|
|
continue
|
|
|
|
unipoint = _glyph_name_to_unicode(words[2].decode())
|
|
if unipoint:
|
|
map_dict[chr(i)] = unipoint
|
|
int_entry.append(i)
|
|
|
|
return map_dict, int_entry
|