/usr/lib/python2.7/dist-packages/reportlab/pdfbase/pdfutils.py is in python-reportlab 3.0-1build1.
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#see license.txt for license details
#history http://www.reportlab.co.uk/cgi-bin/viewcvs.cgi/public/reportlab/trunk/reportlab/pdfbase/pdfutils.py
__version__=''' $Id$ '''
__doc__=''
# pdfutils.py - everything to do with images, streams,
# compression, and some constants
import sys
import os
import binascii
from reportlab import rl_config
from reportlab.lib.utils import getBytesIO, ImageReader, isUnicode, isPy3
from reportlab.lib.rl_accel import asciiBase85Encode, asciiBase85Decode
def _chunker(src,dst=[],chunkSize=60):
for i in range(0,len(src),chunkSize):
dst.append(src[i:i+chunkSize])
return dst
##########################################################
#
# Image compression helpers. Preprocessing a directory
# of images will offer a vast speedup.
#
##########################################################
_mode2cs = {'RGB':'RGB', 'CMYK': 'CMYK', 'L': 'G'}
_mode2bpp = {'RGB': 3, 'CMYK':4, 'L':1}
def makeA85Image(filename,IMG=None):
import zlib
img = ImageReader(filename)
if IMG is not None: IMG.append(img)
imgwidth, imgheight = img.getSize()
raw = img.getRGBData()
code = []
append = code.append
# this describes what is in the image itself
append('BI')
append('/W %s /H %s /BPC 8 /CS /%s /F [/A85 /Fl]' % (imgwidth, imgheight,_mode2cs[img.mode]))
append('ID')
#use a flate filter and Ascii Base 85
assert len(raw) == imgwidth * imgheight*_mode2bpp[img.mode], "Wrong amount of data for image"
compressed = zlib.compress(raw) #this bit is very fast...
encoded = asciiBase85Encode(compressed) #...sadly this may not be
#append in blocks of 60 characters
_chunker(encoded,code)
append('EI')
return code
def makeRawImage(filename,IMG=None):
import zlib
img = ImageReader(filename)
if IMG is not None: IMG.append(img)
imgwidth, imgheight = img.getSize()
raw = img.getRGBData()
code = []
append = code.append
# this describes what is in the image itself
append('BI')
append('/W %s /H %s /BPC 8 /CS /%s /F [/Fl]' % (imgwidth, imgheight,_mode2cs[img.mode]))
append('ID')
#use a flate filter
assert len(raw) == imgwidth * imgheight*_mode2bpp[img.mode], "Wrong amount of data for image"
compressed = zlib.compress(raw) #this bit is very fast...
#append in blocks of 60 characters
_chunker(compressed,code)
append('EI')
return code
def cacheImageFile(filename, returnInMemory=0, IMG=None):
"Processes image as if for encoding, saves to a file with .a85 extension."
cachedname = os.path.splitext(filename)[0] + (rl_config.useA85 and '.a85' or '.bin')
if filename==cachedname:
if cachedImageExists(filename):
from reportlab.lib.utils import open_for_read
if returnInMemory: return filter(None,open_for_read(cachedname).read().split('\r\n'))
else:
raise IOError('No such cached image %s' % filename)
else:
if rl_config.useA85:
code = makeA85Image(filename,IMG)
else:
code = makeRawImage(filename,IMG)
if returnInMemory: return code
#save it to a file
f = open(cachedname,'wb')
f.write('\r\n'.join(code)+'\r\n')
f.close()
if rl_config.verbose:
print('cached image as %s' % cachedname)
def preProcessImages(spec):
"""Preprocesses one or more image files.
Accepts either a filespec ('C:\mydir\*.jpg') or a list
of image filenames, crunches them all to save time. Run this
to save huge amounts of time when repeatedly building image
documents."""
import glob
if isinstance(spec,str):
filelist = glob.glob(spec)
else: #list or tuple OK
filelist = spec
for filename in filelist:
if cachedImageExists(filename):
if rl_config.verbose:
print('cached version of %s already exists' % filename)
else:
cacheImageFile(filename)
def cachedImageExists(filename):
"""Determines if a cached image already exists for a given file.
Determines if a cached image exists which has the same name
and equal or newer date to the given file."""
cachedname = os.path.splitext(filename)[0] + (rl_config.useA85 and '.a85' or 'bin')
if os.path.isfile(cachedname):
#see if it is newer
original_date = os.stat(filename)[8]
cached_date = os.stat(cachedname)[8]
if original_date > cached_date:
return 0
else:
return 1
else:
return 0
##############################################################
#
# PDF Helper functions
#
##############################################################
def _normalizeLineEnds(text,desired='\r\n',unlikely='\x00\x01\x02\x03'):
"""Normalizes different line end character(s).
Ensures all instances of CR, LF and CRLF end up as
the specified one."""
return (text
.replace('\r\n', unlikely)
.replace('\r', unlikely)
.replace('\n', unlikely)
.replace(unlikely, desired))
def _AsciiHexEncode(input):
"""Encodes input using ASCII-Hex coding.
This is a verbose encoding used for binary data within
a PDF file. One byte binary becomes two bytes of ASCII.
Helper function used by images."""
if isUnicode(input):
input = input.encode('utf-8')
output = getBytesIO()
output.write(binascii.b2a_hex(input))
output.write(b'>')
return output.getvalue()
def _AsciiHexDecode(input):
"""Decodes input using ASCII-Hex coding.
Not used except to provide a test of the inverse function."""
#strip out all whitespace
if not isUnicode(input):
input = input.decode('utf-8')
stripped = ''.join(input.split())
assert stripped[-1] == '>', 'Invalid terminator for Ascii Hex Stream'
stripped = stripped[:-1] #chop off terminator
assert len(stripped) % 2 == 0, 'Ascii Hex stream has odd number of bytes'
return ''.join([chr(int(stripped[i:i+2],16)) for i in range(0,len(stripped),2)])
def _wrap(input, columns=60):
"Wraps input at a given column size by inserting \r\n characters."
output = []
length = len(input)
i = 0
pos = columns * i
while pos < length:
output.append(input[pos:pos+columns])
i = i + 1
pos = columns * i
#avoid HP printer problem
if len(output[-1])==1:
output[-2:] = [output[-2][:-1],output[-2][-1]+output[-1]]
return '\r\n'.join(output)
#########################################################################
#
# JPEG processing code - contributed by Eric Johnson
#
#########################################################################
# Read data from the JPEG file. We should probably be using PIL to
# get this information for us -- but this way is more fun!
# Returns (width, height, color components) as a triple
# This is based on Thomas Merz's code from GhostScript (viewjpeg.ps)
def readJPEGInfo(image):
"Read width, height and number of components from open JPEG file."
import struct
from reportlab.pdfbase.pdfdoc import PDFError
#Acceptable JPEG Markers:
# SROF0=baseline, SOF1=extended sequential or SOF2=progressive
validMarkers = [0xC0, 0xC1, 0xC2]
#JPEG markers without additional parameters
noParamMarkers = \
[ 0xD0, 0xD1, 0xD2, 0xD3, 0xD4, 0xD5, 0xD6, 0xD7, 0xD8, 0x01 ]
#Unsupported JPEG Markers
unsupportedMarkers = \
[ 0xC3, 0xC5, 0xC6, 0xC7, 0xC8, 0xC9, 0xCA, 0xCB, 0xCD, 0xCE, 0xCF ]
#read JPEG marker segments until we find SOFn marker or EOF
done = 0
while not done:
x = struct.unpack('B', image.read(1))
if x[0] == 0xFF: #found marker
x = struct.unpack('B', image.read(1))
#print "Marker: ", '%0.2x' % x[0]
#check marker type is acceptable and process it
if x[0] in validMarkers:
image.seek(2, 1) #skip segment length
x = struct.unpack('B', image.read(1)) #data precision
if x[0] != 8:
raise PDFError('JPEG must have 8 bits per component')
y = struct.unpack('BB', image.read(2))
height = (y[0] << 8) + y[1]
y = struct.unpack('BB', image.read(2))
width = (y[0] << 8) + y[1]
y = struct.unpack('B', image.read(1))
color = y[0]
return width, height, color
elif x[0] in unsupportedMarkers:
raise PDFError('JPEG Unsupported JPEG marker: %0.2x' % x[0])
elif x[0] not in noParamMarkers:
#skip segments with parameters
#read length and skip the data
x = struct.unpack('BB', image.read(2))
image.seek( (x[0] << 8) + x[1] - 2, 1)
class _fusc:
def __init__(self,k, n):
assert k, 'Argument k should be a non empty string'
self._k = k
self._klen = len(k)
self._n = int(n) or 7
def encrypt(self,s):
return self.__rotate(asciiBase85Encode(''.join(map(chr,self.__fusc(list(map(ord,s)))))),self._n)
def decrypt(self,s):
return ''.join(map(chr,self.__fusc(list(map(ord,asciiBase85Decode(self.__rotate(s,-self._n)))))))
def __rotate(self,s,n):
l = len(s)
if n<0: n = l+n
n %= l
if not n: return s
return s[-n:]+s[:l-n]
def __fusc(self,s):
slen = len(s)
return list(map(lambda x,y: x ^ y,s,list(map(ord,((int(slen/self._klen)+1)*self._k)[:slen]))))
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