Files
2023-08-14 18:12:56 +00:00

71 lines
2.3 KiB
Python

#!/usr/local/autopkg/python
#
# Copyright 2013 Greg Neagle
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""See docstring for StopProcessingIf class"""
from autopkglib import Processor, ProcessorError, log
try:
from Foundation import NSPredicate
except ImportError:
log("WARNING: Failed 'from Foundation import NSPredicate' in " + __name__)
__all__ = ["StopProcessingIf"]
class StopProcessingIf(Processor):
"""Sets a variable to tell AutoPackager to stop processing a recipe if a
predicate comparison evaluates to true."""
description = __doc__
input_variables = {
"predicate": {
"required": True,
"description": (
"NSPredicate-style comparison against an environment key. See "
"http://developer.apple.com/library/mac/#documentation/"
"Cocoa/Conceptual/Predicates/Articles/pSyntax.html"
),
}
}
output_variables = {
"stop_processing_recipe": {
"description": "Boolean. Should we stop processing the recipe?"
}
}
def predicate_evaluates_as_true(self, predicate_string):
"""Evaluates predicate against our environment dictionary"""
try:
predicate = NSPredicate.predicateWithFormat_(predicate_string)
except Exception as err:
raise ProcessorError(
f"Predicate error for '{predicate_string}': {err}"
) from err
result = predicate.evaluateWithObject_(self.env)
self.output(f"({predicate_string}) is {result}")
return result
def main(self):
self.env["stop_processing_recipe"] = self.predicate_evaluates_as_true(
self.env["predicate"]
)
if __name__ == "__main__":
PROCESSOR = StopProcessingIf()
PROCESSOR.execute_shell()