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69 lines
2.2 KiB
Python
Executable File
69 lines
2.2 KiB
Python
Executable File
#!/usr/bin/env python2.7
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from __future__ import print_function
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desc = '''Generate the difference of two YAML files into a new YAML file (works on
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pair of directories too). A new attribute 'Added' is set to True or False
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depending whether the entry is added or removed from the first input to the
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next.
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The tools requires PyYAML.'''
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import yaml
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# Try to use the C parser.
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try:
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from yaml import CLoader as Loader
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except ImportError:
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from yaml import Loader
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import optrecord
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import argparse
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from collections import defaultdict
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description=desc)
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parser.add_argument(
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'yaml_dir_or_file_1',
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help='An optimization record file or a directory searched for optimization '
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'record files that are used as the old version for the comparison')
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parser.add_argument(
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'yaml_dir_or_file_2',
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help='An optimization record file or a directory searched for optimization '
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'record files that are used as the new version for the comparison')
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parser.add_argument(
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'--jobs',
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'-j',
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default=None,
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type=int,
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help='Max job count (defaults to %(default)s, the current CPU count)')
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parser.add_argument(
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'--no-progress-indicator',
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'-n',
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action='store_true',
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default=False,
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help='Do not display any indicator of how many YAML files were read.')
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parser.add_argument('--output', '-o', default='diff.opt.yaml')
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args = parser.parse_args()
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files1 = optrecord.find_opt_files(args.yaml_dir_or_file_1)
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files2 = optrecord.find_opt_files(args.yaml_dir_or_file_2)
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print_progress = not args.no_progress_indicator
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all_remarks1, _, _ = optrecord.gather_results(files1, args.jobs, print_progress)
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all_remarks2, _, _ = optrecord.gather_results(files2, args.jobs, print_progress)
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added = set(all_remarks2.values()) - set(all_remarks1.values())
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removed = set(all_remarks1.values()) - set(all_remarks2.values())
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for r in added:
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r.Added = True
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for r in removed:
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r.Added = False
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result = added | removed
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for r in result:
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r.recover_yaml_structure()
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with open(args.output, 'w') as stream:
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yaml.dump_all(result, stream)
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