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import subprocess
from pathlib import Path
import tempfile
import os
from functools import total_ordering
import numpy as np
from PIL import Image
class ImageDifference:
def __init__(self, value, ref_path, act_path):
self.value, self.ref_path, self.act_path = value, ref_path, act_path
def __float__(self):
return float(self.value)
def __eq__(self, other):
return float(self) == float(other)
def __lt__(self, other):
return float(self) < float(other)
def __str__(self):
return str(float(self))
def run_cargo_cmd(cmd, args, **kwargs):
if cmd.upper() in os.environ:
return subprocess.run([os.environ[cmd.upper()], *args], **kwargs)
try:
return subprocess.run([cmd, *args], **kwargs)
except FileNotFoundError:
return subprocess.run([str(Path.home() / '.cargo' / 'bin' / cmd), *args], **kwargs)
def svg_to_png(in_svg, out_png):
run_cargo_cmd('resvg', [in_svg, out_png], check=True, stdout=subprocess.DEVNULL)
def gbr_to_svg(in_gbr, out_svg, origin=(0, 0), size=(10, 10)):
x, y = origin
w, h = size
cmd = ['gerbv', '-x', 'svg',
'--border=0',
f'--origin={x:.6f}x{y:.6f}', f'--window_inch={w:.6f}x{h:.6f}',
'--foreground=#ffffff',
'-o', str(out_svg), str(in_gbr)]
subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
def gerber_difference(reference, actual):
with tempfile.NamedTemporaryFile(suffix='.svg') as act_svg,\
tempfile.NamedTemporaryFile(suffix='.svg') as ref_svg:
gbr_to_svg(reference, ref_svg.name)
gbr_to_svg(actual, act_svg.name)
diff = svg_difference(ref_svg.name, act_svg.name)
diff.ref_path, diff.act_path = reference, actual
return diff
def svg_difference(reference, actual):
with tempfile.NamedTemporaryFile(suffix='.png') as ref_png,\
tempfile.NamedTemporaryFile(suffix='.png') as act_png:
svg_to_png(reference, ref_png.name)
svg_to_png(actual, act_png.name)
diff = image_difference(ref_png.name, act_png.name)
diff.ref_path, diff.act_path = reference, actual
return diff
def image_difference(reference, actual):
ref = np.array(Image.open(reference)).astype(float)
out = np.array(Image.open(actual)).astype(float)
ref, out = ref.mean(axis=2), out.mean(axis=2) # convert to grayscale
delta = np.abs(out - ref).astype(float) / 255
return ImageDifference(delta.mean(), reference, actual)
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