def process_file_in_pipeline(self, image: PipeImage) -> None:
infile = image.last
outfile = validate_output_path(self.pipeline.get_outfile(image, self.suffix))
if not isfile(outfile):
self.process_file(
infile, outfile, self.pipeline.verbosity, scale=self.scale,
)
image.log(self.name, outfile)
def process_file_in_pipeline(self, image: PipeImage) -> None:
infile = validate_input_path(image.last)
outfile = validate_output_path(
f"{self.output_directory}/{image.name}.{get_ext(image.last)}")
if not isfile(outfile):
self.process_file(infile,
outfile,
verbosity=self.pipeline.verbosity)
image.log(self.name, outfile)
def process_file_in_pipeline(self, image: PipeImage) -> None:
if image.name in self.infiles:
infile = self.infiles[image.name]
outfile = validate_output_path(
self.pipeline.get_outfile(image, self.suffix)
)
if not isfile(outfile):
self.process_file(infile, outfile, self.pipeline.verbosity)
image.log(self.name, outfile)
else:
raise FileNotFoundError(
f"{self} did not file matching '{image.name}' in '{self.directory}'"
)
def process_file_in_pipeline(self, image: PipeImage) -> None:
if not any(win32_ver()):
raise UnsupportedPlatformError(
"TexconvProcessor may only be used on Windows")
if not which("texconv.exe"):
raise ExecutableNotFoundError(
"texcov.exe executable not found in PATH")
infile = image.last
outfile = validate_output_path(
self.pipeline.get_outfile(image, self.suffix, extension="dds"))
if not isfile(outfile):
self.process_file(
infile,
outfile,
self.pipeline.verbosity,
sepalpha=self.sepalpha,
filetype=self.filetype,
format=self.format,
)
image.log(self.name, outfile)
def __iter__(self):
for i, infile in enumerate(self.infiles):
image = PipeImage(infile)
if self.pipeline.verbosity >= 1:
print(f"{image.name} ({i}/{len(self.infiles)})")
yield image