def raster(self, filename, client):
"""Takes a filename and converts it to a raster image
reportlab can process"""
if not os.path.exists(filename):
log.error("Missing image file: %s",filename)
return missing
try:
# First try to rasterize using the suggested backend
backend = self.get_backend(filename, client)[1]
return backend.raster(filename, client)
except:
pass
# Last resort: try everything
if sys.platform[0:4] == 'java':
try:
from javax.imageio import ImageIO
from java.io import File
iis = ImageIO.createImageInputStream(File(filename))
readers = ImageIO.getImageReaders(iis)
if readers.hasNext():
reader = readers.next()
reader.setInput(iis, True)
metadata = reader.getImageMetadata(0)
# this means imageio can read it
return filename
else:
log.warning("Java's ImageIO cannot read the file [%s]", filename)
except Exception, error:
log.warning("Could not use Java's ImageIO to read the file [%s]: %s", filename, str(error))
def size_for_node(self, node, client):
'''Given a docutils image node, returns the size the image should have
in the PDF document, and what 'kind' of size that is.
That involves lots of guesswork'''
uri = str(node.get("uri"))
if uri.split("://")[0].lower() not in ('http','ftp','https'):
uri = os.path.join(client.basedir,uri)
else:
uri, _ = urllib.urlretrieve(uri)
client.to_unlink.append(uri)
srcinfo = client, uri
# Extract all the information from the URI
imgname, extension, options = self.split_uri(uri)
if not os.path.isfile(imgname):
imgname = missing
scale = float(node.get('scale', 100))/100
size_known = False
# Figuring out the size to display of an image is ... annoying.
# If the user provides a size with a unit, it's simple, adjustUnits
# will return it in points and we're done.
# However, often the unit wil be "%" (specially if it's meant for
# HTML originally. In which case, we will use a percentage of
# the containing frame.
# Find the image size in pixels:
kind = 'direct'
xdpi, ydpi = client.styles.def_dpi, client.styles.def_dpi
extension = imgname.split('.')[-1].lower()
if extension in ['svg','svgz'] and SVGImage.available():
iw, ih = SVGImage(imgname, srcinfo=srcinfo).wrap(0, 0)
# These are in pt, so convert to px
iw = iw * xdpi / 72
ih = ih * ydpi / 72
elif extension in [
"ai", "ccx", "cdr", "cgm", "cmx",
"sk1", "sk", "xml", "wmf", "fig"] and VectorImage.available():
iw, ih = VectorImage(imgname, srcinfo=srcinfo).wrap(0, 0)
# These are in pt, so convert to px
iw = iw * xdpi / 72
ih = ih * ydpi / 72
elif extension == 'pdf':
if VectorPdf is not None:
box = VectorPdf.load_xobj(srcinfo).BBox
else:
pdf = LazyImports.pdfinfo
if pdf is None:
log.warning('PDF images are not supported without pyPdf or pdfrw [%s]', nodeid(node))
return 0, 0, 'direct'
reader = pdf.PdfFileReader(open(imgname, 'rb'))
box = [float(x) for x in reader.getPage(0)['/MediaBox']]
x1, y1, x2, y2 = box
# These are in pt, so convert to px
iw = float((x2-x1) * xdpi / 72)
ih = float((y2-y1) * ydpi / 72)
size_known = True # Assume size from original PDF is OK
else:
keeptrying = True
if sys.platform[0:4] == 'java':
try:
from javax.imageio import ImageIO
from java.io import File
iis = ImageIO.createImageInputStream(File(imgname))
readers = ImageIO.getImageReaders(iis)
if readers.hasNext():
reader = readers.next()
reader.setInput(iis, True)
metadata = reader.getImageMetadata(0)
iw = reader.getWidth(0)
ih = reader.getHeight(0)
xdpi = None
ydpi = None
if metadata.getNativeMetadataFormatName() == 'javax_imageio_png_1.0':
png_metadata = metadata.getAsTree(metadata.getNativeMetadataFormatName())
if png_metadata is not None:
phys_metadata = png_metadata.getElementsByTagName('pHYs')
if phys_metadata.getLength() == 1:
xdpi = phys_metadata.item(0).getAttribute('pixelsPerUnitXAxis')
if xdpi is not None:
xdpi = float(xdpi)
ydpi = phys_metadata.item(0).getAttribute('pixelsPerUnitYAxis')
if ydpi is not None:
ydpi = float(ydpi)
elif metadata.getNativeMetadataFormatName() == 'javax_imageio_jpeg_image_1.0':
jpg_metadata = metadata.getAsTree(metadata.getNativeMetadataFormatName())
if jpg_metadata is not None:
jfif_metadata = jpg_metadata.getElementsByTagName('app0JFIF')
if jfif_metadata.getLength() == 1:
resUnits = jfif_metadata.item(0).getAttribute('resUnits')
# 0 = plain aspect ratio, 1 = dots per inch, 2 = dots per cm
if resUnits is not None and (resUnits == '1' or resUnits == '2'):
xdpi = jfif_metadata.item(0).getAttribute('pixelsPerUnitXAxis')
if xdpi is not None:
xdpi = float(xdpi)
if resUnits == '2':
xdpi = xdpi * 2.54
ydpi = jfif_metadata.item(0).getAttribute('pixelsPerUnitYAxis')
if ydpi is not None:
ydpi = float(ydpi)
if resUnits == '2':
ydpi = ydpi * 2.54
if xdpi is None:
xdpi = 300
if ydpi is None:
ydpi = 300
keeptrying = False
except Exception, err:
log.error('Error %s', str(err))
pass
if LazyImports.PILImage:
try:
img = LazyImports.PILImage.open(imgname)
img.load()
iw, ih = img.size
xdpi, ydpi = img.info.get('dpi', (xdpi, ydpi))
keeptrying = False
except IOError: # PIL throws this when it's a broken/unknown image
pass
if keeptrying and LazyImports.PMImage:
img = LazyImports.PMImage(imgname)
iw = img.size().width()
ih = img.size().height()
density=img.density()
# The density is in pixelspercentimeter (!?)
xdpi=density.width()*2.54
ydpi=density.height()*2.54
keeptrying = False
if keeptrying:
if extension not in ['jpg', 'jpeg']:
log.error("The image (%s, %s) is broken or in an unknown format"
, imgname, nodeid(node))
raise ValueError
else:
# Can be handled by reportlab
log.warning("Can't figure out size of the image (%s, %s). Install PIL for better results."
, imgname, nodeid(node))
iw = 1000
ih = 1000