community.general/plugins/module_utils/csv.py
Felix Fontein a8977afb04
Remove all usage of ansible.module_utils.six from main branch (#10888)
* Get rid of all six.moves imports.

* Get rid of iteritems.

* Get rid of *_type(s) aliases.

* Replace StringIO import.

* Get rid of PY2/PY3 constants.

* Get rid of raise_from.

* Get rid of python_2_unicode_compatible.

* Clean up global six imports.

* Remove all usage of ansible.module_utils.six.

* Linting.

* Fix xml module.

* Docs adjustments.
2025-10-11 08:21:57 +02:00

64 lines
1.8 KiB
Python

# Copyright (c) 2021, Andrew Pantuso (@ajpantuso) <ajpantuso@gmail.com>
# Copyright (c) 2018, Dag Wieers (@dagwieers) <dag@wieers.com>
# GNU General Public License v3.0+ (see LICENSES/GPL-3.0-or-later.txt or https://www.gnu.org/licenses/gpl-3.0.txt)
# SPDX-License-Identifier: GPL-3.0-or-later
from __future__ import annotations
import csv
from io import StringIO
from ansible.module_utils.common.text.converters import to_native
class CustomDialectFailureError(Exception):
pass
class DialectNotAvailableError(Exception):
pass
CSVError = csv.Error
def initialize_dialect(dialect, **kwargs):
# Add Unix dialect from Python 3
class unix_dialect(csv.Dialect):
"""Describe the usual properties of Unix-generated CSV files."""
delimiter = ','
quotechar = '"'
doublequote = True
skipinitialspace = False
lineterminator = '\n'
quoting = csv.QUOTE_ALL
csv.register_dialect("unix", unix_dialect)
if dialect not in csv.list_dialects():
raise DialectNotAvailableError("Dialect '%s' is not supported by your version of python." % dialect)
# Create a dictionary from only set options
dialect_params = {k: v for k, v in kwargs.items() if v is not None}
if dialect_params:
try:
csv.register_dialect('custom', dialect, **dialect_params)
except TypeError as e:
raise CustomDialectFailureError("Unable to create custom dialect: %s" % to_native(e))
dialect = 'custom'
return dialect
def read_csv(data, dialect, fieldnames=None):
BOM = to_native(u'\ufeff')
data = to_native(data, errors='surrogate_or_strict')
if data.startswith(BOM):
data = data[len(BOM):]
fake_fh = StringIO(data)
reader = csv.DictReader(fake_fh, fieldnames=fieldnames, dialect=dialect)
return reader