def save(self,
filename=None,
fields=None,
csv_header=True,
file_format=None,
delimiter=','):
"""Save file
Parameters
----------
filename : str, optional
File path
Default value filename given to class constructor
fields : list of str
Fields in correct order, if none given all field in alphabetical order will be outputted
csv_header : bool
In case of CSV formatted file, first line will contain field names. Names are taken from fields parameter.
Default value True
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
delimiter : str
Delimiter to be used when saving data
Raises
------
IOError:
File has unknown file format
Returns
-------
self
"""
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.filename is None or self.filename == '':
message = '{name}: Filename is empty [{filename}]'.format(
name=self.__class__.__name__, filename=self.filename)
self.logger.exception(message)
raise IOError(message)
try:
from dcase_util.files import Serializer
if self.format == FileFormat.YAML:
data = copy.deepcopy(list(self))
for item_id, item in enumerate(data):
data[item_id] = self.get_dump_content(data=item)
Serializer.save_yaml(filename=self.filename, data=data)
elif self.format == FileFormat.CSV:
if fields is None:
fields = set()
for item in self:
fields.update(list(item.keys()))
fields = sorted(list(fields))
with open(self.filename, 'w') as csv_file:
csv_writer = csv.writer(csv_file, delimiter=delimiter)
if csv_header:
csv_writer.writerow(fields)
for item in self:
item_values = []
for field in fields:
item_values.append(item[field])
csv_writer.writerow(item_values)
elif self.format == FileFormat.CPICKLE:
Serializer.save_cpickle(filename=self.filename, data=self)
else:
message = '{name}: Unknown format [{format}]'.format(
name=self.__class__.__name__, format=self.filename)
self.logger.exception(message)
raise IOError(message)
except KeyboardInterrupt:
os.remove(
self.filename
) # Delete the file, since most likely it was not saved fully
raise
# Check if after save function is defined, call if found
if hasattr(self, '_after_save'):
self._after_save()
return self
def save(self,
filename=None,
fields=None,
csv_header=True,
file_format=None,
delimiter='\t',
**kwargs):
"""Save content to csv file
Parameters
----------
filename : str
Filename. If none given, one given for class constructor is used.
Default value None
fields : list of str
Fields in correct order, if none given all field in alphabetical order will be outputted.
Used only for CSV formatted files.
Default value None
csv_header : bool
In case of CSV formatted file, first line will contain field names. Names are taken from fields parameter.
Default value True
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
Default value None
delimiter : str
Delimiter to be used when saving data.
Default value '\t'
Returns
-------
self
"""
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.format in [FileFormat.TXT]:
# Make sure writing is using correct line endings to avoid extra empty lines
if sys.version_info[0] == 2:
f = open(self.filename, 'wbt')
elif sys.version_info[0] >= 3:
f = open(self.filename, 'wt', newline='')
try:
writer = csv.writer(f, delimiter=delimiter)
for item in self:
writer.writerow(item.get_list())
finally:
f.close()
elif self.format == FileFormat.CSV:
if fields is None:
fields = set()
for item in self:
fields.update(list(item.keys()))
fields = sorted(list(fields))
# Make sure writing is using correct line endings to avoid extra empty lines
if sys.version_info[0] == 2:
csv_file = open(self.filename, 'wb')
elif sys.version_info[0] >= 3:
csv_file = open(self.filename, 'w', newline='')
try:
csv_writer = csv.writer(csv_file, delimiter=delimiter)
if csv_header:
csv_writer.writerow(fields)
for item in self:
item_values = []
for field in fields:
value = item[field]
if isinstance(value, list):
value = ";".join(value) + ";"
item_values.append(value)
csv_writer.writerow(item_values)
finally:
csv_file.close()
elif self.format == FileFormat.CPICKLE:
from dcase_util.files import Serializer
Serializer.save_cpickle(filename=self.filename, data=self)
else:
message = '{name}: Unknown format [{format}]'.format(
name=self.__class__.__name__, format=self.filename)
self.logger.exception(message)
raise IOError(message)
return self
def load(self,
filename=None,
fields=None,
csv_header=True,
file_format=None,
delimiter=None,
convert_numeric_fields=True):
"""Load file
Parameters
----------
filename : str, optional
File path
Default value filename given to class constructor
fields : list of str, optional
List of column names
csv_header : bool, optional
Read field names from first line (header). Used only for CSV formatted files.
Default value True
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
delimiter : str, optional
Forced data delimiter for csv format. If None given, automatic delimiter sniffer used. Use this when sniffer does not work.
convert_numeric_fields : bool, optional
Convert int and float fields to correct type.
Default value True
Raises
------
IOError:
File does not exists or has unknown file format
ValueError:
No fields or csv_header set for CSV formatted file.
Returns
-------
self
"""
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.exists():
from dcase_util.files import Serializer
if self.format == FileFormat.CSV:
if fields is None and csv_header is None:
message = '{name}: Parameters fields or csv_header has to be set for CSV files.'.format(
name=self.__class__.__name__)
self.logger.exception(message)
raise ValueError(message)
data = []
if not delimiter:
delimiter = self.delimiter()
with open(self.filename, 'r') as f:
csv_reader = csv.reader(f, delimiter=delimiter)
if csv_header:
csv_fields = next(csv_reader)
if fields is None:
fields = csv_fields
for row in csv_reader:
if convert_numeric_fields:
for cell_id, cell_data in enumerate(row):
if is_int(cell_data):
row[cell_id] = int(cell_data)
elif is_float(cell_data):
row[cell_id] = float(cell_data)
data.append(dict(zip(fields, row)))
list.__init__(self, data)
elif self.format == FileFormat.YAML:
data = Serializer.load_yaml(filename=self.filename)
if isinstance(data, list):
list.__init__(self, data)
else:
message = '{name}: YAML data is not in list format.'.format(
name=self.__class__.__name__)
self.logger.exception(message)
raise ImportError(message)
elif self.format == FileFormat.CPICKLE:
list.__init__(self,
Serializer.load_cpickle(filename=self.filename))
else:
message = '{name}: Unknown format [{format}]'.format(
name=self.__class__.__name__, format=self.filename)
self.logger.exception(message)
raise IOError(message)
else:
message = '{name}: File does not exists [{file}]'.format(
name=self.__class__.__name__, file=self.filename)
self.logger.exception(message)
raise IOError(message)
# Check if after load function is defined, call if found
if hasattr(self, '_after_load'):
self._after_load()
return self
def load(self,
filename=None,
fields=None,
csv_header=True,
file_format=None,
delimiter=None,
decimal='point'):
"""Load probability list from file
Preferred delimiter is tab, however, other delimiters are supported automatically
(they are sniffed automatically).
Supported input formats:
- [file(string)][label(string)][probability(float)]
Parameters
----------
filename : str
Path to the probability list in text format (csv). If none given, one given for class constructor is used.
Default value None
fields : list of str, optional
List of column names. Used only for CSV formatted files.
Default value None
csv_header : bool, optional
Read field names from first line (header). Used only for CSV formatted files.
Default value True
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
Default value None
delimiter : str, optional
Forced data delimiter for csv format. If None given, automatic delimiter sniffer used.
Use this when sniffer does not work.
Default value None
decimal : str
Decimal 'point' or 'comma'
Default value 'point'
Returns
-------
data : list of probability item dicts
List containing probability item dicts
"""
def validate(row_format, valid_formats):
for valid_format in valid_formats:
if row_format == valid_format:
return True
return False
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.exists():
if self.format in [FileFormat.TXT]:
if decimal == 'comma':
delimiter = self.delimiter(exclude_delimiters=[','])
else:
delimiter = self.delimiter()
data = []
field_validator = FieldValidator()
f = io.open(self.filename, 'rt')
try:
for row in csv.reader(f, delimiter=delimiter):
if row:
row_format = []
for item in row:
row_format.append(
field_validator.process(item))
for item_id, item in enumerate(row):
if row_format[
item_id] == FieldValidator.NUMBER:
# Translate decimal comma into decimal point
row[item_id] = float(row[item_id].replace(
',', '.'))
elif row_format[item_id] in [
FieldValidator.AUDIOFILE,
FieldValidator.DATAFILE,
FieldValidator.STRING,
FieldValidator.ALPHA1,
FieldValidator.ALPHA2,
FieldValidator.LIST
]:
row[item_id] = row[item_id].strip()
if validate(row_format=row_format,
valid_formats=[
[
FieldValidator.AUDIOFILE,
FieldValidator.STRING,
FieldValidator.NUMBER
],
[
FieldValidator.AUDIOFILE,
FieldValidator.ALPHA1,
FieldValidator.NUMBER
],
[
FieldValidator.AUDIOFILE,
FieldValidator.ALPHA2,
FieldValidator.NUMBER
],
[
FieldValidator.DATAFILE,
FieldValidator.STRING,
FieldValidator.NUMBER
],
[
FieldValidator.DATAFILE,
FieldValidator.ALPHA1,
FieldValidator.NUMBER
],
[
FieldValidator.DATAFILE,
FieldValidator.ALPHA2,
FieldValidator.NUMBER
]
]):
# Format: [file label probability]
data.append(
self.item_class({
'filename': row[0],
'label': row[1],
'probability': row[2],
}))
elif validate(row_format=row_format,
valid_formats=[
[
FieldValidator.AUDIOFILE,
FieldValidator.STRING,
FieldValidator.NUMBER,
FieldValidator.NUMBER
],
[
FieldValidator.AUDIOFILE,
FieldValidator.ALPHA1,
FieldValidator.NUMBER,
FieldValidator.NUMBER
],
[
FieldValidator.AUDIOFILE,
FieldValidator.ALPHA2,
FieldValidator.NUMBER,
FieldValidator.NUMBER
],
[
FieldValidator.DATAFILE,
FieldValidator.STRING,
FieldValidator.NUMBER,
FieldValidator.NUMBER
],
[
FieldValidator.DATAFILE,
FieldValidator.ALPHA1,
FieldValidator.NUMBER,
FieldValidator.NUMBER
],
[
FieldValidator.DATAFILE,
FieldValidator.ALPHA2,
FieldValidator.NUMBER,
FieldValidator.NUMBER
]
]):
# Format: [file label probability index]
data.append(
self.item_class({
'filename': row[0],
'label': row[1],
'probability': row[2],
'index': row[3]
}))
else:
message = '{name}: Unknown row format [{row}] [{row_format}]'.format(
name=self.__class__.__name__,
row=row,
row_format=row_format)
self.logger.exception(message)
raise IOError(message)
finally:
f.close()
self.update(data=data)
elif self.format == FileFormat.CSV:
if fields is None and csv_header is None:
message = '{name}: Parameters fields or csv_header has to be set for CSV files.'.format(
name=self.__class__.__name__)
self.logger.exception(message)
raise ValueError(message)
if not delimiter:
if decimal == 'comma':
delimiter = self.delimiter(exclude_delimiters=[','])
else:
delimiter = self.delimiter()
data = []
with open(self.filename, 'r') as f:
csv_reader = csv.reader(f, delimiter=delimiter)
if csv_header:
csv_fields = next(csv_reader)
if fields is None:
fields = csv_fields
for row in csv_reader:
if row:
for cell_id, cell_data in enumerate(row):
if decimal == 'comma':
# Translate decimal comma into decimal point
cell_data = float(
cell_data.replace(',', '.'))
if is_int(cell_data):
row[cell_id] = int(cell_data)
elif is_float(cell_data):
row[cell_id] = float(cell_data)
data.append(dict(zip(fields, row)))
self.update(data=data)
elif self.format == FileFormat.CPICKLE:
from dcase_util.files import Serializer
self.update(data=Serializer.load_cpickle(
filename=self.filename))
else:
message = '{name}: File not found [{file}]'.format(
name=self.__class__.__name__, file=self.filename)
self.logger.exception(message)
raise IOError(message)
return self
def save(self, filename=None, file_format=None):
"""Save file
Parameters
----------
filename : str, optional
File path, if None given, filename given to class constructor is used.
Default value None
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
Default value None
Raises
------
ImportError:
Error if file format specific module cannot be imported
IOError:
File has unknown file format
Returns
-------
self
"""
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.filename is None or self.filename == '':
message = '{name}: Filename is empty [{filename}]'.format(
name=self.__class__.__name__,
filename=self.filename
)
self.logger.exception(message)
raise IOError(message)
try:
from dcase_util.files import Serializer
data = dict(self)
if hasattr(self, '__getstate__'):
data.update(dict(self.__getstate__()))
# Check if before save function is defined, call if found
if hasattr(self, '_before_save'):
data = self._before_save(data)
if self.format == FileFormat.YAML:
Serializer.save_yaml(filename=self.filename, data=self.get_dump_content(data=data))
elif self.format == FileFormat.CPICKLE:
Serializer.save_cpickle(filename=self.filename, data=data)
elif self.format == FileFormat.MARSHAL:
Serializer.save_marshal(filename=self.filename, data=data)
elif self.format == FileFormat.MSGPACK:
Serializer.save_msgpack(filename=self.filename, data=data)
elif self.format == FileFormat.JSON:
Serializer.save_json(filename=self.filename, data=data)
elif self.format == FileFormat.TXT:
with open(self.filename, "w") as text_file:
for line_id in self:
text_file.write(self[line_id])
else:
message = '{name}: Unknown format [{format}]'.format(name=self.__class__.__name__, format=self.filename)
self.logger.exception(message)
raise IOError(message)
except KeyboardInterrupt:
os.remove(self.filename) # Delete the file, since most likely it was not saved fully
raise
# Check if after save function is defined, call if found
if hasattr(self, '_after_save'):
self._after_save()
return self
def load(self, filename=None, file_format=None):
"""Load file
Parameters
----------
filename : str, optional
File path, if None given, filename given to class constructor is used.
Default value None
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
Default value None
Raises
------
ImportError:
Error if file format specific module cannot be imported
IOError:
File does not exists or has unknown file format
Returns
-------
self
"""
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.exists():
# File exits
from dcase_util.files import Serializer
dict.clear(self)
if self.format == FileFormat.YAML or self.format == FileFormat.META:
data = Serializer.load_yaml(filename=self.filename)
dict.update(self, data)
elif self.format == FileFormat.CPICKLE:
dict.update(self, Serializer.load_cpickle(filename=self.filename))
elif self.format == FileFormat.MARSHAL:
dict.update(self, Serializer.load_marshal(filename=self.filename))
elif self.format == FileFormat.MSGPACK:
dict.update(self, Serializer.load_msgpack(filename=self.filename))
elif self.format == FileFormat.JSON:
dict.update(self, Serializer.load_json(filename=self.filename))
elif self.format == FileFormat.TXT:
with open(self.filename, 'r') as f:
lines = f.readlines()
dict.update(self, dict(zip(range(0, len(lines)), lines)))
elif self.format == FileFormat.CSV:
data = {}
delimiter = self.delimiter()
with open(self.filename, 'r') as f:
csv_reader = csv.reader(f, delimiter=delimiter)
for row in csv_reader:
if len(row) == 2:
data[row[0]] = row[1]
dict.update(self, data)
else:
message = '{name}: Unknown format [{format}]'.format(name=self.__class__.__name__, format=self.filename)
self.logger.exception(message)
raise IOError(message)
else:
message = '{name}: File does not exists [{file}]'.format(name=self.__class__.__name__, file=self.filename)
self.logger.exception(message)
raise IOError(message)
# Call __setstate__ to handle internal variables of the class
self.__setstate__(d=self)
# Check if after load function is defined, call if found
if hasattr(self, '_after_load'):
self._after_load()
return self
def save(self, filename=None, file_format=None):
"""Save file
Parameters
----------
filename : str, optional
File path, if None given, filename given to class constructor is used.
Default value None
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
Default value None
Raises
------
IOError:
File has unknown file format
Returns
-------
self
"""
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.filename is None or self.filename == '':
message = '{name}: Filename is empty [{filename}]'.format(
name=self.__class__.__name__,
filename=self.filename
)
self.logger.exception(message)
raise IOError(message)
try:
from dcase_util.files import Serializer
if self.format == FileFormat.TXT:
with open(self.filename, "w") as text_file:
for line in self:
text_file.write(str(line)+'\n')
elif self.format == FileFormat.CPICKLE:
Serializer.save_cpickle(filename=self.filename, data=self)
else:
message = '{name}: Unknown format [{format}]'.format(name=self.__class__.__name__, format=self.filename)
self.logger.exception(message)
raise IOError(message)
except KeyboardInterrupt:
os.remove(self.filename) # Delete the file, since most likely it was not saved fully
raise
# Check if after save function is defined, call if found
if hasattr(self, '_after_save'):
self._after_save()
return self
def load(self, filename=None, headers=None, file_format=None):
"""Load file
Parameters
----------
filename : str, optional
File path
Default value filename given to class constructor.
Default value None
headers : list of str, optional
List of column names.
Default value None
file_format : FileFormat, optional
Forced file format, use this when there is a miss-match between file extension and file format.
Default value None
Raises
------
IOError:
File does not exists or has unknown file format
Returns
-------
self
"""
if filename:
self.filename = filename
if not file_format:
self.detect_file_format()
self.validate_format()
if file_format and FileFormat.validate_label(label=file_format):
self.format = file_format
if self.exists():
from dcase_util.files import Serializer
if self.format == FileFormat.TXT:
with open(self.filename, 'r') as f:
lines = f.readlines()
# Remove line breaks
for i in range(0, len(lines)):
lines[i] = lines[i].replace('\r\n', '').replace('\n', '')
list.__init__(self, lines)
elif self.format == FileFormat.CPICKLE:
list.__init__(self, Serializer.load_cpickle(filename=self.filename))
else:
message = '{name}: Unknown format [{format}]'.format(name=self.__class__.__name__, format=self.filename)
self.logger.exception(message)
raise IOError(message)
else:
message = '{name}: File does not exists [{file}]'.format(name=self.__class__.__name__, file=self.filename)
self.logger.exception(message)
raise IOError(message)
# Check if after load function is defined, call if found
if hasattr(self, '_after_load'):
self._after_load()
return self