def create_item_from_json(self, item_key: str, item_tree):
pira_item = PiraItem(item_key)
analyzer_dir = item_tree[item_key]['analyzer']
if analyzer_dir is '':
analyzer_dir = U.get_base_dir(
__file__) + '/../extern/install/pgis/bin'
L.get_logger().log('Analyzer: using analyzer default: ' +
analyzer_dir,
level='debug')
cubes_dir = item_tree[item_key]['cubes']
flavors = item_tree[item_key]['flavors']
functors_base_path = item_tree[item_key]['functors']
mode = item_tree[item_key]['mode']
run_opts = self.get_parameter(item_tree, item_key)
run_options = ArgumentMapperFactory.get_mapper(run_opts)
pira_item.set_analyzer_dir(analyzer_dir)
pira_item.set_cubes_dir(cubes_dir)
pira_item.set_flavors(flavors)
pira_item.set_functors_base_path(functors_base_path)
pira_item.set_mode(mode)
pira_item.set_run_options(run_options)
return pira_item
def prepare_scorep_filter_file(self, filter_file: str) -> None:
'''
Prepares the file that Score-P uses to include or exclude.
NOTE: The filter_file is a positive list! We want to include these functions!
'''
file_dir = U.get_base_dir(filter_file)
file_content = U.read_file(filter_file)
scorep_filter_file_content = self.append_scorep_footer(
self.prepend_scorep_header(file_content))
scorep_filter_file_name = file_dir + '/scorep_filter_file.txt'
U.write_file(scorep_filter_file_name, scorep_filter_file_content)
return scorep_filter_file_name
