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6529390901* Added from_csv filter and integration tests * Cleaning up whitespace * Adding changelog fragment * Updated changelog fragment name * Removed temp fragment * Refactoring csv functions Part 1 * Syncing refactored csv modules/filters * Adding unit tests for csv Module_Util * Updating changelog fragment * Correcting whitespace in unit test * Improving changelog fragment Co-authored-by: Felix Fontein <felix@fontein.de> * Update changelogs/fragments/2037-add-from-csv-filter.yml Co-authored-by: Felix Fontein <felix@fontein.de>
67 lines
1.8 KiB
Python
67 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright: (c) 2021, Andrew Pantuso (@ajpantuso) <ajpantuso@gmail.com>
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# Copyright: (c) 2018, Dag Wieers (@dagwieers) <dag@wieers.com>
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# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
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from __future__ import absolute_import, division, print_function
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__metaclass__ = type
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import csv
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from io import BytesIO, StringIO
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from ansible.module_utils._text import to_native
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from ansible.module_utils.six import PY3
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class CustomDialectFailureError(Exception):
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pass
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class DialectNotAvailableError(Exception):
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pass
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CSVError = csv.Error
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def initialize_dialect(dialect, **kwargs):
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# Add Unix dialect from Python 3
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class unix_dialect(csv.Dialect):
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"""Describe the usual properties of Unix-generated CSV files."""
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delimiter = ','
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quotechar = '"'
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doublequote = True
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skipinitialspace = False
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lineterminator = '\n'
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quoting = csv.QUOTE_ALL
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csv.register_dialect("unix", unix_dialect)
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if dialect not in csv.list_dialects():
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raise DialectNotAvailableError("Dialect '%s' is not supported by your version of python." % dialect)
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# Create a dictionary from only set options
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dialect_params = dict((k, v) for k, v in kwargs.items() if v is not None)
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if dialect_params:
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try:
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csv.register_dialect('custom', dialect, **dialect_params)
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except TypeError as e:
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raise CustomDialectFailureError("Unable to create custom dialect: %s" % to_native(e))
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dialect = 'custom'
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return dialect
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def read_csv(data, dialect, fieldnames=None):
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data = to_native(data, errors='surrogate_or_strict')
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if PY3:
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fake_fh = StringIO(data)
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else:
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fake_fh = BytesIO(data)
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reader = csv.DictReader(fake_fh, fieldnames=fieldnames, dialect=dialect)
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return reader
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