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"""
Benchmark the speed of pypdf.
The results are on https://py-pdf.github.io/pypdf/dev/bench/
Please keep in mind that the variance is high.
"""
from io import BytesIO
from tempfile import NamedTemporaryFile
import pytest
import pypdf
from pypdf import PageObject, PdfReader, PdfWriter, Transformation
from pypdf.generic import Destination, read_string_from_stream
from . import RESOURCE_ROOT, SAMPLE_ROOT, get_data_from_url
def page_ops(pdf_path, password):
pdf_path = RESOURCE_ROOT / pdf_path
reader = PdfReader(pdf_path)
writer = PdfWriter()
if password:
reader.decrypt(password)
page = reader.pages[0]
page = writer.add_page(page)
op = Transformation().rotate(90).scale(1.2)
page.add_transformation(op)
page.merge_page(page)
op = Transformation().scale(1).translate(tx=1, ty=1)
page.add_transformation(op)
page.merge_page(page)
op = Transformation().rotate(90).scale(1).translate(tx=1, ty=1)
page.add_transformation(op)
page.merge_page(page)
page.add_transformation((1, 0, 0, 0, 0, 0))
page.scale(2, 2)
page.scale_by(0.5)
page.scale_to(100, 100)
page = writer.pages[0]
page.compress_content_streams()
page.extract_text()
def test_page_operations(benchmark):
"""
Apply various page operations.
Rotation, scaling, translation, content stream compression, text extraction
"""
benchmark(page_ops, "libreoffice-writer-password.pdf", "openpassword")
def merge():
pdf_path = RESOURCE_ROOT / "crazyones.pdf"
outline = RESOURCE_ROOT / "pdflatex-outline.pdf"
pdf_forms = RESOURCE_ROOT / "pdflatex-forms.pdf"
pdf_pw = RESOURCE_ROOT / "libreoffice-writer-password.pdf"
writer = PdfWriter()
# string path:
writer.append(pdf_path)
writer.append(outline)
writer.append(pdf_path, pages=pypdf.pagerange.PageRange(slice(0, 0)))
writer.append(pdf_forms)
# Merging an encrypted file
reader = PdfReader(pdf_pw)
reader.decrypt("openpassword")
writer.append(reader)
# PdfReader object:
writer.append(PdfReader(pdf_path), outline_item="True")
# File handle
with open(pdf_path, "rb") as fh:
writer.append(fh)
outline_item = writer.add_outline_item("An outline item", 0)
writer.add_outline_item("deeper", 0, parent=outline_item)
writer.add_metadata({"/Author": "Martin Thoma"})
writer.add_named_destination("title", 0)
writer.set_page_layout("/SinglePage")
writer.page_mode = "/UseThumbs"
with NamedTemporaryFile(suffix=".pdf") as target_file:
write_path = target_file.name
writer.write(write_path)
writer.close()
# Check if outline is correct
reader = PdfReader(write_path)
assert [
el.title for el in reader.outline if isinstance(el, Destination)
] == [
"Foo",
"Bar",
"Baz",
"Foo",
"Bar",
"Baz",
"Foo",
"Bar",
"Baz",
"True",
"An outline item",
]
def test_merge(benchmark):
"""
Apply various page operations.
Rotation, scaling, translation, content stream compression, text extraction
"""
benchmark(merge)
def text_extraction(pdf_path):
with open(pdf_path, mode="rb") as fd:
reader = PdfReader(fd)
text = ""
for page in reader.pages:
text += page.extract_text()
return text
def test_text_extraction(benchmark):
file_path = SAMPLE_ROOT / "009-pdflatex-geotopo/GeoTopo.pdf"
benchmark(text_extraction, file_path)
def read_string_from_stream_performance():
stream = BytesIO(b"(" + b"".join([b"x"] * 1024 * 256) + b")")
assert read_string_from_stream(stream)
def test_read_string_from_stream_performance(benchmark):
"""
This test simulates reading an embedded base64 image of 256kb.
It should be faster than a second, even on ancient machines.
Runs < 100ms on a 2019 notebook. Takes 10 seconds prior to #1350.
"""
benchmark(read_string_from_stream_performance)
def image_new_property(data):
reader = PdfReader(data)
assert reader.pages[0].images.keys() == [
"/I0",
"/I1",
"/I2",
"/I3",
"/I4",
"/I5",
"/I6",
"/I7",
"/I8",
"/I9",
["/TPL1", "/Image5"],
["/TPL2", "/Image53"],
["/TPL2", "/Image37"],
["/TPL2", "/Image49"],
["/TPL2", "/Image51"],
["/TPL2", "/Image39"],
["/TPL2", "/Image57"],
["/TPL2", "/Image55"],
["/TPL2", "/Image43"],
["/TPL2", "/Image30"],
["/TPL2", "/Image22"],
["/TPL2", "/Image41"],
["/TPL2", "/Image47"],
["/TPL2", "/Image45"],
["/TPL3", "/Image65"],
["/TPL3", "/Image30"],
["/TPL3", "/Image61"],
["/TPL4", "/Image30"],
["/TPL5", "/Image30"],
["/TPL6", "/Image30"],
["/TPL7", "/Image30"],
["/TPL8", "/Image30"],
["/TPL9", "/Image30"],
["/TPL10", "/Image30"],
["/TPL11", "/Image30"],
["/TPL12", "/Image30"],
]
assert len(reader.pages[0].images.items()) == 36
assert reader.pages[0].images[0].name == "I0.png"
assert len(reader.pages[0].images[-1].data) > 10000
assert reader.pages[0].images["/TPL1", "/Image5"].image.format == "JPEG"
assert (
reader.pages[0].images["/I0"].indirect_reference.get_object()
== reader.pages[0]["/Resources"]["/XObject"]["/I0"]
)
list(reader.pages[0].images[0:2])
with pytest.raises(TypeError):
reader.pages[0].images[b"0"]
with pytest.raises(IndexError):
reader.pages[0].images[9999]
# just for test coverage:
with pytest.raises(KeyError):
reader.pages[0]._get_image(["test"], reader.pages[0])
assert list(PageObject(None, None).images) == []
@pytest.mark.enable_socket
def test_image_new_property_performance(benchmark):
url = "https://github.com/py-pdf/pypdf/files/11219022/pdf_font_garbled.pdf"
name = "pdf_font_garbled.pdf"
data = BytesIO(get_data_from_url(url, name=name))
benchmark(image_new_property, data)
def image_extraction(data):
reader = PdfReader(data)
list(reader.pages[0].images)
@pytest.mark.enable_socket
def test_large_compressed_image_performance(benchmark):
url = "https://github.com/py-pdf/pypdf/files/15306199/file_with_large_compressed_image.pdf"
data = BytesIO(get_data_from_url(url, name="file_with_large_compressed_image.pdf"))
benchmark(image_extraction, data)
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