Pillow/Tests/test_file_pdf.py

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Python
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import io
import os
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import os.path
import tempfile
import time
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from PIL import Image, PdfParser
from .helper import PillowTestCase, hopper
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class TestFilePdf(PillowTestCase):
def helper_save_as_pdf(self, mode, **kwargs):
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# Arrange
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im = hopper(mode)
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outfile = self.tempfile("temp_" + mode + ".pdf")
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# Act
im.save(outfile, **kwargs)
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# Assert
self.assertTrue(os.path.isfile(outfile))
self.assertGreater(os.path.getsize(outfile), 0)
with PdfParser.PdfParser(outfile) as pdf:
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if kwargs.get("append_images", False) or kwargs.get("append", False):
self.assertGreater(len(pdf.pages), 1)
else:
self.assertGreater(len(pdf.pages), 0)
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with open(outfile, "rb") as fp:
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contents = fp.read()
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size = tuple(
int(d)
for d in contents.split(b"/MediaBox [ 0 0 ")[1].split(b"]")[0].split()
)
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self.assertEqual(im.size, size)
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return outfile
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def test_monochrome(self):
# Arrange
mode = "1"
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# Act / Assert
self.helper_save_as_pdf(mode)
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def test_greyscale(self):
# Arrange
mode = "L"
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# Act / Assert
self.helper_save_as_pdf(mode)
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def test_rgb(self):
# Arrange
mode = "RGB"
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# Act / Assert
self.helper_save_as_pdf(mode)
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def test_p_mode(self):
# Arrange
mode = "P"
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# Act / Assert
self.helper_save_as_pdf(mode)
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def test_cmyk_mode(self):
# Arrange
mode = "CMYK"
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# Act / Assert
self.helper_save_as_pdf(mode)
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def test_unsupported_mode(self):
im = hopper("LA")
outfile = self.tempfile("temp_LA.pdf")
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self.assertRaises(ValueError, im.save, outfile)
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def test_save_all(self):
# Single frame image
self.helper_save_as_pdf("RGB", save_all=True)
# Multiframe image
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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with Image.open("Tests/images/dispose_bgnd.gif") as im:
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Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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outfile = self.tempfile("temp.pdf")
im.save(outfile, save_all=True)
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Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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self.assertTrue(os.path.isfile(outfile))
self.assertGreater(os.path.getsize(outfile), 0)
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Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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# Append images
ims = [hopper()]
im.copy().save(outfile, save_all=True, append_images=ims)
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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self.assertTrue(os.path.isfile(outfile))
self.assertGreater(os.path.getsize(outfile), 0)
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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# Test appending using a generator
def imGenerator(ims):
yield from ims
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Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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im.save(outfile, save_all=True, append_images=imGenerator(ims))
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self.assertTrue(os.path.isfile(outfile))
self.assertGreater(os.path.getsize(outfile), 0)
# Append JPEG images
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with Image.open("Tests/images/flower.jpg") as jpeg:
jpeg.save(outfile, save_all=True, append_images=[jpeg.copy()])
self.assertTrue(os.path.isfile(outfile))
self.assertGreater(os.path.getsize(outfile), 0)
def test_multiframe_normal_save(self):
# Test saving a multiframe image without save_all
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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with Image.open("Tests/images/dispose_bgnd.gif") as im:
Improve handling of file resources Follow Python's file object semantics. User code is responsible for closing resources (usually through a context manager) in a deterministic way. To achieve this, remove __del__ functions. These functions used to closed open file handlers in an attempt to silence Python ResourceWarnings. However, using __del__ has the following drawbacks: - __del__ isn't called until the object's reference count reaches 0. Therefore, resource handlers remain open or in use longer than necessary. - The __del__ method isn't guaranteed to execute on system exit. See the Python documentation: https://docs.python.org/3/reference/datamodel.html#object.__del__ > It is not guaranteed that __del__() methods are called for objects > that still exist when the interpreter exits. - Exceptions that occur inside __del__ are ignored instead of raised. This has the potential of hiding bugs. This is also in the Python documentation: > Warning: Due to the precarious circumstances under which __del__() > methods are invoked, exceptions that occur during their execution > are ignored, and a warning is printed to sys.stderr instead. Instead, always close resource handlers when they are no longer in use. This will close the file handler at a specified point in the user's code and not wait until the interpreter chooses to. It is always guaranteed to run. And, if an exception occurs while closing the file handler, the bug will not be ignored. Now, when code receives a ResourceWarning, it will highlight an area that is mishandling resources. It should not simply be silenced, but fixed by closing resources with a context manager. All warnings that were emitted during tests have been cleaned up. To enable warnings, I passed the `-Wa` CLI option to Python. This exposed some mishandling of resources in ImageFile.__init__() and SpiderImagePlugin.loadImageSeries(), they too were fixed.
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outfile = self.tempfile("temp.pdf")
im.save(outfile)
self.assertTrue(os.path.isfile(outfile))
self.assertGreater(os.path.getsize(outfile), 0)
def test_pdf_open(self):
# fail on a buffer full of null bytes
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self.assertRaises(
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PdfParser.PdfFormatError, PdfParser.PdfParser, buf=bytearray(65536)
)
# make an empty PDF object
with PdfParser.PdfParser() as empty_pdf:
self.assertEqual(len(empty_pdf.pages), 0)
self.assertEqual(len(empty_pdf.info), 0)
self.assertFalse(empty_pdf.should_close_buf)
self.assertFalse(empty_pdf.should_close_file)
# make a PDF file
pdf_filename = self.helper_save_as_pdf("RGB")
# open the PDF file
with PdfParser.PdfParser(filename=pdf_filename) as hopper_pdf:
self.assertEqual(len(hopper_pdf.pages), 1)
self.assertTrue(hopper_pdf.should_close_buf)
self.assertTrue(hopper_pdf.should_close_file)
# read a PDF file from a buffer with a non-zero offset
with open(pdf_filename, "rb") as f:
content = b"xyzzy" + f.read()
with PdfParser.PdfParser(buf=content, start_offset=5) as hopper_pdf:
self.assertEqual(len(hopper_pdf.pages), 1)
self.assertFalse(hopper_pdf.should_close_buf)
self.assertFalse(hopper_pdf.should_close_file)
# read a PDF file from an already open file
with open(pdf_filename, "rb") as f:
with PdfParser.PdfParser(f=f) as hopper_pdf:
self.assertEqual(len(hopper_pdf.pages), 1)
self.assertTrue(hopper_pdf.should_close_buf)
self.assertFalse(hopper_pdf.should_close_file)
def test_pdf_append_fails_on_nonexistent_file(self):
im = hopper("RGB")
with tempfile.TemporaryDirectory() as temp_dir:
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self.assertRaises(
IOError, im.save, os.path.join(temp_dir, "nonexistent.pdf"), append=True
)
def check_pdf_pages_consistency(self, pdf):
pages_info = pdf.read_indirect(pdf.pages_ref)
self.assertNotIn(b"Parent", pages_info)
self.assertIn(b"Kids", pages_info)
kids_not_used = pages_info[b"Kids"]
for page_ref in pdf.pages:
while True:
if page_ref in kids_not_used:
kids_not_used.remove(page_ref)
page_info = pdf.read_indirect(page_ref)
self.assertIn(b"Parent", page_info)
page_ref = page_info[b"Parent"]
if page_ref == pdf.pages_ref:
break
self.assertEqual(pdf.pages_ref, page_info[b"Parent"])
self.assertEqual(kids_not_used, [])
def test_pdf_append(self):
# make a PDF file
pdf_filename = self.helper_save_as_pdf("RGB", producer="PdfParser")
# open it, check pages and info
with PdfParser.PdfParser(pdf_filename, mode="r+b") as pdf:
self.assertEqual(len(pdf.pages), 1)
self.assertEqual(len(pdf.info), 4)
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self.assertEqual(
pdf.info.Title, os.path.splitext(os.path.basename(pdf_filename))[0]
)
self.assertEqual(pdf.info.Producer, "PdfParser")
self.assertIn(b"CreationDate", pdf.info)
self.assertIn(b"ModDate", pdf.info)
self.check_pdf_pages_consistency(pdf)
# append some info
pdf.info.Title = "abc"
pdf.info.Author = "def"
pdf.info.Subject = "ghi\uABCD"
pdf.info.Keywords = "qw)e\\r(ty"
pdf.info.Creator = "hopper()"
pdf.start_writing()
pdf.write_xref_and_trailer()
# open it again, check pages and info again
with PdfParser.PdfParser(pdf_filename) as pdf:
self.assertEqual(len(pdf.pages), 1)
self.assertEqual(len(pdf.info), 8)
self.assertEqual(pdf.info.Title, "abc")
self.assertIn(b"CreationDate", pdf.info)
self.assertIn(b"ModDate", pdf.info)
self.check_pdf_pages_consistency(pdf)
# append two images
mode_CMYK = hopper("CMYK")
mode_P = hopper("P")
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mode_CMYK.save(pdf_filename, append=True, save_all=True, append_images=[mode_P])
# open the PDF again, check pages and info again
with PdfParser.PdfParser(pdf_filename) as pdf:
self.assertEqual(len(pdf.pages), 3)
self.assertEqual(len(pdf.info), 8)
self.assertEqual(PdfParser.decode_text(pdf.info[b"Title"]), "abc")
self.assertEqual(pdf.info.Title, "abc")
self.assertEqual(pdf.info.Producer, "PdfParser")
self.assertEqual(pdf.info.Keywords, "qw)e\\r(ty")
self.assertEqual(pdf.info.Subject, "ghi\uABCD")
self.assertIn(b"CreationDate", pdf.info)
self.assertIn(b"ModDate", pdf.info)
self.check_pdf_pages_consistency(pdf)
def test_pdf_info(self):
# make a PDF file
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pdf_filename = self.helper_save_as_pdf(
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"RGB",
title="title",
author="author",
subject="subject",
keywords="keywords",
creator="creator",
producer="producer",
creationDate=time.strptime("2000", "%Y"),
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modDate=time.strptime("2001", "%Y"),
)
# open it, check pages and info
with PdfParser.PdfParser(pdf_filename) as pdf:
self.assertEqual(len(pdf.info), 8)
self.assertEqual(pdf.info.Title, "title")
self.assertEqual(pdf.info.Author, "author")
self.assertEqual(pdf.info.Subject, "subject")
self.assertEqual(pdf.info.Keywords, "keywords")
self.assertEqual(pdf.info.Creator, "creator")
self.assertEqual(pdf.info.Producer, "producer")
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self.assertEqual(pdf.info.CreationDate, time.strptime("2000", "%Y"))
self.assertEqual(pdf.info.ModDate, time.strptime("2001", "%Y"))
self.check_pdf_pages_consistency(pdf)
def test_pdf_append_to_bytesio(self):
im = hopper("RGB")
f = io.BytesIO()
im.save(f, format="PDF")
initial_size = len(f.getvalue())
self.assertGreater(initial_size, 0)
im = hopper("P")
f = io.BytesIO(f.getvalue())
im.save(f, format="PDF", append=True)
self.assertGreater(len(f.getvalue()), initial_size)