mirror of
https://gitlab.com/kicad/code/kicad.git
synced 2025-09-14 18:23:15 +02:00
271 lines
9.4 KiB
Python
271 lines
9.4 KiB
Python
#
|
|
# This program source code file is part of KiCad, a free EDA CAD application.
|
|
#
|
|
# Copyright (C) 2023 Mark Roszko <mark.roszko@gmail.com>
|
|
# Copyright (C) 2023 KiCad Developers
|
|
#
|
|
# This program is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU General Public License as published by
|
|
# the Free Software Foundation; either version 2 of the License, or
|
|
# (at your option) any later version.
|
|
#
|
|
# This program is distributed in the hope that it will be useful,
|
|
# but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
# GNU General Public License for more details.
|
|
#
|
|
# You should have received a copy of the GNU General Public License
|
|
# along with this program; if not, write to the Free Software
|
|
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
|
|
# MA 02110-1301, USA.
|
|
#
|
|
|
|
import difflib
|
|
import os
|
|
import pathlib
|
|
import json
|
|
|
|
import cairosvg
|
|
import logging
|
|
import subprocess
|
|
from typing import Tuple
|
|
from pathlib import Path
|
|
from PIL import Image, ImageChops, ImageFilter, ImageEnhance
|
|
import numpy as np
|
|
|
|
logger = logging.getLogger("cli_util")
|
|
Image.MAX_IMAGE_PIXELS = 800 * 1024 * 1024 // 4 # Increase limit to ~800MB uncompressed RGBA, 4bpp (~600MB RGB, 3bpp)
|
|
|
|
def kicad_cli() -> str:
|
|
if 'KICAD_CLI' in os.environ:
|
|
return os.environ.get('KICAD_CLI')
|
|
|
|
return "kicad-cli"
|
|
|
|
def run_and_capture( command: list ) -> Tuple[ str, str, int ]:
|
|
logger.info("Executing command \"%s\"", " ".join( command ))
|
|
|
|
env = {}
|
|
env.update(os.environ)
|
|
|
|
if 'KICAD_CONFIG_HOME' not in env:
|
|
if 'QA_DATA_ROOT' in env:
|
|
base_path = env.get('QA_DATA_ROOT')
|
|
else:
|
|
cwd = Path.cwd()
|
|
base_path = None
|
|
|
|
try:
|
|
if 'qa' in cwd.parts:
|
|
idx = cwd.parts.index('qa')
|
|
base_path = cwd.parents[len(cwd.parents) - idx - 1] / 'data'
|
|
except ValueError:
|
|
pass
|
|
|
|
if base_path is not None:
|
|
logger.info("Using QA data base path '%s'", str(base_path))
|
|
env['KICAD_CONFIG_HOME'] = str(base_path / 'config')
|
|
env['KICAD9_SYMBOL_DIR'] = str(base_path / 'libraries')
|
|
env['KICAD9_FOOTPRINT_DIR'] = str(base_path / 'libraries')
|
|
else:
|
|
logger.warning("Unexpected cwd '%s', tests will likely fail", cwd)
|
|
|
|
proc = subprocess.Popen( command,
|
|
stdout = subprocess.PIPE,
|
|
stderr = subprocess.PIPE,
|
|
encoding = 'utf-8',
|
|
env = env
|
|
)
|
|
|
|
out,err = proc.communicate()
|
|
|
|
if proc.returncode != 0 or len(err) != 0:
|
|
logger.info(f"command returned {proc.returncode}")
|
|
logger.info(f"stdout: {out}")
|
|
logger.info(f"stderr: {err}")
|
|
|
|
return out, err, proc.returncode
|
|
|
|
def textdiff_files( golden_filepath: str, new_filepath: str, skip: int = 0 ) -> bool:
|
|
status: bool = True
|
|
|
|
with open( golden_filepath, 'r' ) as f:
|
|
golden_lines = f.readlines()[skip:]
|
|
|
|
with open( new_filepath, 'r' ) as f:
|
|
new_lines = f.readlines()[skip:]
|
|
|
|
diff = difflib.unified_diff( golden_lines, new_lines, fromfile = golden_filepath, tofile = new_filepath )
|
|
diff_text = ''.join(list(diff))
|
|
|
|
if diff_text != "":
|
|
logger.info( "Text diff found:" )
|
|
logger.info( diff_text )
|
|
|
|
return diff_text == ""
|
|
|
|
|
|
def image_is_blank( image_path: str ) -> bool:
|
|
img = Image.open( image_path )
|
|
sum = np.sum( np.asarray( img ) )
|
|
img.close()
|
|
|
|
return sum == 0
|
|
|
|
|
|
def images_are_equal( image1_path: str, image2_path: str ) -> bool:
|
|
# Note: if modifying this function - please add new tests for it in test_utils.py
|
|
|
|
image1 = Image.open( image1_path )
|
|
image2 = Image.open( image2_path )
|
|
|
|
if image1.size != image2.size:
|
|
return False
|
|
|
|
if image1.mode != image2.mode:
|
|
return False
|
|
|
|
diff = ImageChops.difference( image1, image2 )
|
|
sum = np.sum( np.asarray( diff ) )
|
|
retval = True
|
|
|
|
if sum != 0.0:
|
|
# Images are not identical - lets allow 1 pixel error difference (for curved edges)
|
|
diff_multi_bands = diff.split()
|
|
binary_multi_bands = []
|
|
|
|
for band_diff in diff_multi_bands:
|
|
thresholded_band = band_diff.point( lambda x: x > 0 and 255 )
|
|
binary_multi_bands.append( thresholded_band.convert( "1" ) )
|
|
|
|
binary_result = binary_multi_bands[0]
|
|
|
|
for i in range( 1, len( binary_multi_bands ) ):
|
|
binary_result = ImageChops.logical_or( binary_result, binary_multi_bands[i] )
|
|
|
|
eroded_result = binary_result.copy().filter( ImageFilter.MinFilter( 3 ) ) # erode once (trim 1 pixel)
|
|
|
|
eroded_result_sum = np.sum( np.asarray( eroded_result ) )
|
|
retval = eroded_result_sum == 0
|
|
diff.close()
|
|
binary_result.close()
|
|
|
|
# Save diff
|
|
if not retval:
|
|
diff_name = image1.filename + ".DIFF_eroded_" + str( eroded_result_sum )+ ".png"
|
|
red = Image.new( "RGB", image1.size, (255,0,0))
|
|
imageEnhanced = ImageEnhance.Contrast(image1).enhance(0.3)
|
|
imageEnhanced.paste( red,mask=eroded_result)
|
|
imageEnhanced.save(diff_name)
|
|
logger.error( "Images not equal. Diff stored at '%s'", diff_name )
|
|
imageEnhanced.close()
|
|
|
|
# Cleanup
|
|
eroded_result.close()
|
|
|
|
# Cleanup
|
|
image1.close()
|
|
image2.close()
|
|
|
|
return retval
|
|
|
|
|
|
def get_png_paths( generated_path: str, source_path : str, suffix : str = "" ) -> Tuple[str, str]:
|
|
generated_stem = Path( generated_path ).stem
|
|
generated_png_path = Path( generated_path ).with_stem( generated_stem + suffix).with_suffix( ".png" )
|
|
|
|
if generated_png_path.exists():
|
|
generated_png_path.unlink() # Delete file
|
|
|
|
# store source png in same folder as generated, easier to compare
|
|
source_stem = Path( source_path ).stem
|
|
source_png_path = Path( generated_path ).with_stem( source_stem + "-source" + suffix).with_suffix( ".png" )
|
|
|
|
if source_png_path.exists():
|
|
source_png_path.unlink() # Delete file
|
|
|
|
return str( generated_png_path ), str( source_png_path )
|
|
|
|
|
|
def svgs_are_equivalent( svg_generated_path: str, svg_source_path: str, comparison_dpi: int ) -> bool:
|
|
png_generated, png_source = get_png_paths( svg_generated_path, svg_source_path )
|
|
|
|
cairosvg.svg2png( url=svg_generated_path,
|
|
write_to=png_generated,
|
|
dpi=comparison_dpi )
|
|
|
|
cairosvg.svg2png( url=svg_source_path,
|
|
write_to=png_source,
|
|
dpi=comparison_dpi )
|
|
|
|
return images_are_equal( png_generated , png_source )
|
|
|
|
|
|
def gerbers_are_equivalent( gerber_generated_path : str, gerber_source_path : str, comparison_dpi : int,
|
|
originInches : Tuple[float, float],
|
|
windowsizeInches : Tuple[float, float] ) -> bool:
|
|
|
|
# Calculate tiles required
|
|
noTilesRowsCols = np.array( [1,1] )
|
|
increaseRow = True
|
|
tileSizeInches=np.array( windowsizeInches ) / noTilesRowsCols
|
|
|
|
while( np.prod( tileSizeInches * comparison_dpi ) > Image.MAX_IMAGE_PIXELS // 2 ):
|
|
if increaseRow:
|
|
noTilesRowsCols[0]+=1
|
|
else:
|
|
noTilesRowsCols[1]+=1
|
|
|
|
increaseRow=not increaseRow
|
|
tileSizeInches=np.array( windowsizeInches ) / noTilesRowsCols
|
|
|
|
|
|
gerberGeneratedIsBlank=True
|
|
gerberSourceIsBlank=True
|
|
gerbersAreEqual=True
|
|
|
|
for row in range( noTilesRowsCols[0] ):
|
|
for col in range( noTilesRowsCols[1] ):
|
|
tileOrigin=np.array( originInches ) + ( np.array( [row,col] ) * tileSizeInches )
|
|
tile_name=f"R{row}C{col}"
|
|
png_generated, png_source = get_png_paths( gerber_generated_path, gerber_source_path, tile_name )
|
|
|
|
convert_gerber_to_png( gerber_generated_path, png_generated, comparison_dpi, tileOrigin, tileSizeInches )
|
|
convert_gerber_to_png( gerber_source_path, png_source, comparison_dpi, tileOrigin, tileSizeInches )
|
|
|
|
gerberGeneratedIsBlank = gerberGeneratedIsBlank and image_is_blank( png_generated )
|
|
gerberSourceIsBlank = gerberSourceIsBlank and image_is_blank( png_source )
|
|
|
|
if( not images_are_equal( png_generated, png_source ) ):
|
|
gerbersAreEqual = False
|
|
|
|
assert( not gerberGeneratedIsBlank )
|
|
assert( not gerberSourceIsBlank ) # make sure test case is generated correctly
|
|
|
|
return gerbersAreEqual
|
|
|
|
|
|
def convert_gerber_to_png( gerber_path : str, png_path : str, dpi : int,
|
|
originInches : Tuple[float, float],
|
|
windowsizeInches : Tuple[float, float] ):
|
|
|
|
originStr="{:.2f}".format(originInches[0]) + "x" + "{:.2f}".format(originInches[1])
|
|
windowsizeInchesStr="{:.2f}".format(windowsizeInches[0]) + "x" + "{:.2f}".format(windowsizeInches[1])
|
|
|
|
stdout, stderr, exitcode = run_and_capture(["gerbv", "--export=png", f"--dpi={dpi}",
|
|
f"--origin={originStr}",
|
|
f"--window_inch={windowsizeInchesStr}",
|
|
f"--output={png_path}",
|
|
"--foreground=#FFFFFF", "--background=#000000",
|
|
gerber_path
|
|
])
|
|
|
|
|
|
def is_gerbv_installed() -> bool:
|
|
try:
|
|
stdout, stderr, exitcode = run_and_capture(["gerbv", "--version"])
|
|
except:
|
|
return False
|
|
|
|
return exitcode == 0 and stdout is not None and stdout.startswith("gerbv version")
|