def __process_file__(self, _file, disp=False):
if disp:
if self.shuffle_data:
print('Processing shuffled file: ' + str(_file) + '\n')
else:
print('Processing file: ' + str(_file) + '\n')
file_data_source = DataVectorFileDataSource(_file=_file,
signal_index=self.signal_index,
annotation_index=self.annotation_index,
time_index=self.time_index,
headers_count=self.headers_count,
time_format=self.time_format,
separator=self.separator)
data_vector = file_data_source.getDataVector()
if data_vector.is_empty:
if disp:
print('No signal data or all data is skipped, check signal or time data columns !') # @IgnorePep8
return True
(ok, message) = self.__pp_generator__.precheck(reference_filename=_file) # @IgnorePep8
if ok == False:
if disp:
print('\n' + message)
return True
start_progress = CSVStartProgressGenerator()
start_progress.progress_mark = self.progress_mark
start_progress.info_handler = self.info_handler
start_progress.shuffle_data = self.shuffle_data
return self.__pp_generator__.generate_CSV(data_vector, _file,
start_progress=start_progress,
progress_handler=CSVProgressHandlerGenerator())
def get_data_accessor_from_file_specification(parent, file_specification):
"""
function which creates data accessor object from file specification object
"""
file_data_source_params = file_specification._asdict()
file_data_source = DataVectorFileDataSource(**file_data_source_params)
data = file_data_source.getDataVector()
data_accessor = DataVectorAccessor(data)
data_accessor.source_name = file_data_source.source_filename
data_accessor.path_name = file_data_source.source_pathname
data_accessor.changeXSignalUnit(parent, OrderUnit)
return data_accessor
def __process_file_for_movie__(self, _file, disp=False):
file_data_source = DataVectorFileDataSource(_file=_file,
signal_index=self.signal_index,
annotation_index=self.annotation_index,
time_index=self.time_index,
headers_count=self.headers_count,
time_format=self.time_format,
separator=self.separator)
data_vector = file_data_source.getDataVector()
if data_vector.is_empty:
return True
start_progress = MovieStartProgressGenerator()
start_progress.progress_mark = self.progress_mark
start_progress.info_handler = self.info_handler
return self.__pp_generator__.generate_movie(data_vector, _file,
start_progress=start_progress)
def __process_file_for_movie__(self, _file, disp=False):
file_data_source = DataVectorFileDataSource(
_file=_file,
signal_index=self.signal_index,
annotation_index=self.annotation_index,
time_index=self.time_index,
headers_count=self.headers_count,
time_format=self.time_format,
separator=self.separator)
data_vector = file_data_source.getDataVector()
if data_vector.is_empty:
return True
start_progress = MovieStartProgressGenerator()
start_progress.progress_mark = self.progress_mark
start_progress.info_handler = self.info_handler
return self.__pp_generator__.generate_movie(
data_vector, _file, start_progress=start_progress)
def __process_file__(self, _file, disp=False):
if disp:
if self.shuffle_data:
print('Processing shuffled file: ' + str(_file) + '\n')
else:
print('Processing file: ' + str(_file) + '\n')
file_data_source = DataVectorFileDataSource(
_file=_file,
signal_index=self.signal_index,
annotation_index=self.annotation_index,
time_index=self.time_index,
headers_count=self.headers_count,
time_format=self.time_format,
separator=self.separator)
data_vector = file_data_source.getDataVector()
if data_vector.is_empty:
if disp:
print(
'No signal data or all data is skipped, check signal or time data columns !'
) # @IgnorePep8
return True
(ok, message) = self.__pp_generator__.precheck(
reference_filename=_file) # @IgnorePep8
if ok == False:
if disp:
print('\n' + message)
return True
start_progress = CSVStartProgressGenerator()
start_progress.progress_mark = self.progress_mark
start_progress.info_handler = self.info_handler
start_progress.shuffle_data = self.shuffle_data
return self.__pp_generator__.generate_CSV(
data_vector,
_file,
start_progress=start_progress,
progress_handler=CSVProgressHandlerGenerator())
def __process_headers__(self, _file, _headers=None):
file_data_source = DataVectorFileDataSource(_file=_file)
_headers.append('File: ' + str(_file))
_headers.append(file_data_source.headers_with_col_index)
def __process_annotations__(self, _file, _unique_annotations=None):
file_data_source = DataVectorFileDataSource(
_file=_file, annotation_index=self.annotation_index)
_unique_annotations[len(_unique_annotations):] = \
file_data_source.getUniqueAnnotations()
def __process_annotations__(self, _file, _unique_annotations=None):
file_data_source = DataVectorFileDataSource(_file=_file,
annotation_index=self.annotation_index)
_unique_annotations[len(_unique_annotations):] = \
file_data_source.getUniqueAnnotations()
