2023-04-26 11:16:14 +00:00
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#
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# This program source code file is part of KiCad, a free EDA CAD application.
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#
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# Copyright (C) 2023 Mark Roszko <mark.roszko@gmail.com>
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# Copyright (C) 2023 KiCad Developers
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
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# MA 02110-1301, USA.
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#
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import difflib
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2023-07-29 16:05:55 +00:00
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import cairosvg
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2023-04-26 11:16:14 +00:00
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import logging
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import subprocess
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2023-05-16 00:05:31 +00:00
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from typing import Tuple
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2023-07-29 16:05:55 +00:00
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from pathlib import Path
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from PIL import Image, ImageChops, ImageFilter
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import numpy as np
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2023-04-26 11:16:14 +00:00
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logger = logging.getLogger("cli_util")
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2023-05-16 00:05:31 +00:00
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def run_and_capture( command: list ) -> Tuple[ str, str, int ]:
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2023-04-26 11:16:14 +00:00
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logger.info("Executing command \"%s\"", " ".join( command ))
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proc = subprocess.Popen( command,
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stdout = subprocess.PIPE,
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stderr = subprocess.PIPE,
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encoding = 'utf-8'
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)
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out,err = proc.communicate()
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return out, err, proc.returncode
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def textdiff_files( golden_filepath: str, new_filepath: str, skip: int = 0 ) -> bool:
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status: bool = True
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with open( golden_filepath, 'r' ) as f:
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golden_lines = f.readlines()[skip:]
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with open( new_filepath, 'r' ) as f:
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new_lines = f.readlines()[skip:]
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diff = difflib.unified_diff( golden_lines, new_lines, fromfile = golden_filepath, tofile = new_filepath )
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diff_text = ''.join(list(diff))
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if diff_text != "":
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logger.info( "Text diff found:" )
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logger.info( diff_text )
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2023-07-29 16:05:55 +00:00
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return diff_text == ""
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def images_are_equal( image1: str, image2: str ) -> bool:
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# Increase limit to ~500MB uncompressed
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Image.MAX_IMAGE_PIXELS=2 * 1024 * 1024 * 1024 // 4 // 3
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image1 = Image.open( image1 )
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image2 = Image.open( image2 )
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if image1.size != image2.size:
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return False
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if image1.mode != image2.mode:
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return False
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sum = np.sum( ( np.asarray ( image1 ).astype( np.float32 ) - np.asarray( image2 ).astype( np.float32 ) ) ** 2.0 )
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retval = True
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if sum != 0.0:
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# images are not identical - lets allow 1 pixel error difference (for curved edges)
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diff = ImageChops.difference( image1, image2 )
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diffThresholded = diff.point( lambda x: 255 if x > 1 else 0 )
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# erode binary image by 1 pixel
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diffEroded = diffThresholded.filter(ImageFilter.MinFilter(3))
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erodedSum = np.sum( np.asarray( diffEroded ).astype( np.float32 ) )
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retval = erodedSum == 0
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# Save images
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diff_name = image1.filename + ".diff1.png"
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diff.save( diff_name )
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diff_name = image1.filename + ".diffthresholded.png"
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diffThresholded.save( diff_name )
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diffEroded_name = image1.filename + ".diffEroded_erodedsum" + str(erodedSum)+ ".png"
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diffEroded.save( diffEroded_name )
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return retval
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def svgs_are_equivalent( svg_generated_path : str, svg_source_path : str, comparison_dpi : int ) -> bool:
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png_generated_path = Path( svg_generated_path ).with_suffix( ".png" )
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# store source png in same folder as generated, easier to compare
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source_stem = Path( svg_source_path ).stem
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png_source_path = Path( svg_generated_path ).with_stem( source_stem + "-source").with_suffix( ".png" )
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cairosvg.svg2png( url=svg_generated_path,
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write_to=str( png_generated_path ),
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dpi=comparison_dpi )
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cairosvg.svg2png( url=svg_source_path,
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write_to=str( png_source_path ),
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dpi=comparison_dpi )
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return images_are_equal( str( png_generated_path ), str( png_source_path ) )
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