def parse_csv_with_name(self, filename):
manager = FileManager()
parser = ConfigParser()
config_dto = parser.parse_config()
path_to_file = manager.get_path_to_file(DirPath.STATISTICS)
csv_dict = {}
column_names = config_dto.column_names
for name in column_names:
csv_dict[name] = []
csv_file = open(os.path.join(path_to_file, filename), 'rt')
csv_reader = csv.DictReader(csv_file,
fieldnames=column_names,
delimiter=' ',
quotechar='"')
header = next(csv_reader)
for row in csv_reader:
for key in row:
csv_dict[key].append(row[key])
return DTO(filename, path_to_file, column_names, csv_dict)
def transform_to_csv_dto(self, generated_stat, config):
manager = FileManager()
path_to_file = manager.get_path_to_file(DirPath.STATISTICS)
filename = "Statistics for " + config.filename
data = self.transform_generated_values(config.column_names,
generated_stat)
return DTO(filename, path_to_file, config.column_names, data)
def parse_config(self, name):
manager = FileManager()
filename = name
path_to_file = manager.get_path_to_file(DirPath.CONFIGS)
config = configparser.ConfigParser()
if filename is not None:
with open(os.path.join(path_to_file, filename)) as cfg_file:
config.readfp(cfg_file) # read and parse entire file
sections = {}
for section in config.sections():
options = {}
for option, value in config.items(section):
options[option] = value
sections[section] = options
column_names = self.get_column_names(sections)
return DTO(filename, path_to_file, column_names, sections)
return None
