mirror of
				https://github.com/arsenetar/dupeguru.git
				synced 2025-09-11 17:58:17 +00:00 
			
		
		
		
	Previously, it would be instantiated on startup. This will make our job easier for an upcoming SE/ME/PE merge.
		
			
				
	
	
		
			51 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			51 lines
		
	
	
		
			2.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # Copyright 2016 Hardcoded Software (http://www.hardcoded.net)
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| #
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| # This software is licensed under the "GPLv3" License as described in the "LICENSE" file,
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| # which should be included with this package. The terms are also available at
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| # http://www.gnu.org/licenses/gpl-3.0.html
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| 
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| from core_se import __appname__
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| from core_se.app import DupeGuru as DupeGuruModel
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| from core.directories import Directories as DirectoriesBase, DirectoryState
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| 
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| from ..base.app import DupeGuru as DupeGuruBase
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| from .details_dialog import DetailsDialog
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| from .results_model import ResultsModel
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| from .preferences import Preferences
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| from .preferences_dialog import PreferencesDialog
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| 
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| class Directories(DirectoriesBase):
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|     ROOT_PATH_TO_EXCLUDE = frozenset(['windows', 'program files'])
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| 
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|     def _default_state_for_path(self, path):
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|         result = DirectoriesBase._default_state_for_path(self, path)
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|         if result is not None:
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|             return result
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|         if len(path) == 2 and path[1].lower() in self.ROOT_PATH_TO_EXCLUDE:
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|             return DirectoryState.Excluded
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| 
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| class DupeGuru(DupeGuruBase):
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|     MODELCLASS = DupeGuruModel
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|     EDITION = 'se'
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|     LOGO_NAME = 'logo_se'
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|     NAME = __appname__
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| 
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|     DETAILS_DIALOG_CLASS = DetailsDialog
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|     RESULT_MODEL_CLASS = ResultsModel
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|     PREFERENCES_CLASS = Preferences
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|     PREFERENCES_DIALOG_CLASS = PreferencesDialog
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| 
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|     def _setup(self):
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|         self.directories = Directories()
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|         DupeGuruBase._setup(self)
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| 
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|     def _update_options(self):
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|         DupeGuruBase._update_options(self)
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|         self.model.options['min_match_percentage'] = self.prefs.filter_hardness
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|         self.model.options['scan_type'] = self.prefs.scan_type
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|         self.model.options['word_weighting'] = self.prefs.word_weighting
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|         self.model.options['match_similar_words'] = self.prefs.match_similar
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|         threshold = self.prefs.small_file_threshold if self.prefs.ignore_small_files else 0
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|         self.model.options['size_threshold'] = threshold * 1024 # threshold is in KB. the scanner wants bytes
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| 
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