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New Filter plugin from_csv (#2037) (#2074)

* 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>
(cherry picked from commit 6529390901)

Co-authored-by: Ajpantuso <ajpantuso@gmail.com>
This commit is contained in:
patchback[bot] 2021-03-21 13:56:32 +01:00 committed by GitHub
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8 changed files with 383 additions and 47 deletions

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@ -0,0 +1,7 @@
---
add plugin.filter:
- name: from_csv
description: Converts CSV text input into list of dicts
minor_changes:
- csv module utils - new module_utils for shared functions between ``from_csv`` filter and ``read_csv`` module (https://github.com/ansible-collections/community.general/pull/2037).
- read_csv - refactored read_csv module to use shared csv functions from csv module_utils (https://github.com/ansible-collections/community.general/pull/2037).

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# -*- coding: utf-8 -*-
# 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 COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
from ansible.errors import AnsibleFilterError
from ansible.module_utils._text import to_native
from ansible_collections.community.general.plugins.module_utils.csv import (initialize_dialect, read_csv, CSVError,
DialectNotAvailableError,
CustomDialectFailureError)
def from_csv(data, dialect='excel', fieldnames=None, delimiter=None, skipinitialspace=None, strict=None):
dialect_params = {
"delimiter": delimiter,
"skipinitialspace": skipinitialspace,
"strict": strict,
}
try:
dialect = initialize_dialect(dialect, **dialect_params)
except (CustomDialectFailureError, DialectNotAvailableError) as e:
raise AnsibleFilterError(to_native(e))
reader = read_csv(data, dialect, fieldnames)
data_list = []
try:
for row in reader:
data_list.append(row)
except CSVError as e:
raise AnsibleFilterError("Unable to process file: %s" % to_native(e))
return data_list
class FilterModule(object):
def filters(self):
return {
'from_csv': from_csv
}

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@ -0,0 +1,67 @@
# -*- coding: utf-8 -*-
# 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 COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import csv
from io import BytesIO, StringIO
from ansible.module_utils._text import to_native
from ansible.module_utils.six import PY3
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 = dict((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):
data = to_native(data, errors='surrogate_or_strict')
if PY3:
fake_fh = StringIO(data)
else:
fake_fh = BytesIO(data)
reader = csv.DictReader(fake_fh, fieldnames=fieldnames, dialect=dialect)
return reader

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@ -137,26 +137,12 @@ list:
gid: 500
'''
import csv
from io import BytesIO, StringIO
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils._text import to_text
from ansible.module_utils.six import PY3
from ansible.module_utils._text import to_native
# 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)
from ansible_collections.community.general.plugins.module_utils.csv import (initialize_dialect, read_csv, CSVError,
DialectNotAvailableError,
CustomDialectFailureError)
def main():
@ -180,38 +166,24 @@ def main():
fieldnames = module.params['fieldnames']
unique = module.params['unique']
if dialect not in csv.list_dialects():
module.fail_json(msg="Dialect '%s' is not supported by your version of python." % dialect)
dialect_params = {
"delimiter": module.params['delimiter'],
"skipinitialspace": module.params['skipinitialspace'],
"strict": module.params['strict'],
}
dialect_options = dict(
delimiter=module.params['delimiter'],
skipinitialspace=module.params['skipinitialspace'],
strict=module.params['strict'],
)
# Create a dictionary from only set options
dialect_params = dict((k, v) for k, v in dialect_options.items() if v is not None)
if dialect_params:
try:
csv.register_dialect('custom', dialect, **dialect_params)
except TypeError as e:
module.fail_json(msg="Unable to create custom dialect: %s" % to_text(e))
dialect = 'custom'
try:
dialect = initialize_dialect(dialect, **dialect_params)
except (CustomDialectFailureError, DialectNotAvailableError) as e:
module.fail_json(msg=to_native(e))
try:
with open(path, 'rb') as f:
data = f.read()
except (IOError, OSError) as e:
module.fail_json(msg="Unable to open file: %s" % to_text(e))
module.fail_json(msg="Unable to open file: %s" % to_native(e))
if PY3:
# Manually decode on Python3 so that we can use the surrogateescape error handler
data = to_text(data, errors='surrogate_or_strict')
fake_fh = StringIO(data)
else:
fake_fh = BytesIO(data)
reader = csv.DictReader(fake_fh, fieldnames=fieldnames, dialect=dialect)
reader = read_csv(data, dialect, fieldnames)
if key and key not in reader.fieldnames:
module.fail_json(msg="Key '%s' was not found in the CSV header fields: %s" % (key, ', '.join(reader.fieldnames)))
@ -223,16 +195,16 @@ def main():
try:
for row in reader:
data_list.append(row)
except csv.Error as e:
module.fail_json(msg="Unable to process file: %s" % to_text(e))
except CSVError as e:
module.fail_json(msg="Unable to process file: %s" % to_native(e))
else:
try:
for row in reader:
if unique and row[key] in data_dict:
module.fail_json(msg="Key '%s' is not unique for value '%s'" % (key, row[key]))
data_dict[row[key]] = row
except csv.Error as e:
module.fail_json(msg="Unable to process file: %s" % to_text(e))
except CSVError as e:
module.fail_json(msg="Unable to process file: %s" % to_native(e))
module.exit_json(dict=data_dict, list=data_list)

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@ -0,0 +1,2 @@
shippable/posix/group2
skip/python2.6 # filters are controller only, and we no longer support Python 2.6 on the controller

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####################################################################
# WARNING: These are designed specifically for Ansible tests #
# and should not be used as examples of how to write Ansible roles #
####################################################################
- name: Parse valid csv input
assert:
that:
- "valid_comma_separated | community.general.from_csv == expected_result"
- name: Parse valid csv input containing spaces with/without skipinitialspace=True
assert:
that:
- "valid_comma_separated_spaces | community.general.from_csv(skipinitialspace=True) == expected_result"
- "valid_comma_separated_spaces | community.general.from_csv != expected_result"
- name: Parse valid csv input with no headers with/without specifiying fieldnames
assert:
that:
- "valid_comma_separated_no_headers | community.general.from_csv(fieldnames=['id','name','role']) == expected_result"
- "valid_comma_separated_no_headers | community.general.from_csv != expected_result"
- name: Parse valid pipe-delimited csv input with/without delimiter=|
assert:
that:
- "valid_pipe_separated | community.general.from_csv(delimiter='|') == expected_result"
- "valid_pipe_separated | community.general.from_csv != expected_result"
- name: Register result of invalid csv input when strict=False
debug:
var: "invalid_comma_separated | community.general.from_csv"
register: _invalid_csv_strict_false
- name: Test invalid csv input when strict=False is successful
assert:
that:
- _invalid_csv_strict_false is success
- name: Register result of invalid csv input when strict=True
debug:
var: "invalid_comma_separated | community.general.from_csv(strict=True)"
register: _invalid_csv_strict_true
ignore_errors: True
- name: Test invalid csv input when strict=True is failed
assert:
that:
- _invalid_csv_strict_true is failed
- _invalid_csv_strict_true.msg is match('Unable to process file:.*')

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valid_comma_separated: |
id,name,role
1,foo,bar
2,bar,baz
valid_comma_separated_spaces: |
id,name,role
1, foo, bar
2, bar, baz
valid_comma_separated_no_headers: |
1,foo,bar
2,bar,baz
valid_pipe_separated: |
id|name|role
1|foo|bar
2|bar|baz
invalid_comma_separated: |
id,name,role
1,foo,bar
2,"b"ar",baz
expected_result:
- id: '1'
name: foo
role: bar
- id: '2'
name: bar
role: baz

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# -*- coding: utf-8 -*-
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import pytest
from ansible_collections.community.general.plugins.module_utils import csv
VALID_CSV = [
(
'excel',
{},
None,
"id,name,role\n1,foo,bar\n2,bar,baz",
[
{
"id": "1",
"name": "foo",
"role": "bar",
},
{
"id": "2",
"name": "bar",
"role": "baz",
},
]
),
(
'excel',
{"skipinitialspace": True},
None,
"id,name,role\n1, foo, bar\n2, bar, baz",
[
{
"id": "1",
"name": "foo",
"role": "bar",
},
{
"id": "2",
"name": "bar",
"role": "baz",
},
]
),
(
'excel',
{"delimiter": '|'},
None,
"id|name|role\n1|foo|bar\n2|bar|baz",
[
{
"id": "1",
"name": "foo",
"role": "bar",
},
{
"id": "2",
"name": "bar",
"role": "baz",
},
]
),
(
'unix',
{},
None,
"id,name,role\n1,foo,bar\n2,bar,baz",
[
{
"id": "1",
"name": "foo",
"role": "bar",
},
{
"id": "2",
"name": "bar",
"role": "baz",
},
]
),
(
'excel',
{},
['id', 'name', 'role'],
"1,foo,bar\n2,bar,baz",
[
{
"id": "1",
"name": "foo",
"role": "bar",
},
{
"id": "2",
"name": "bar",
"role": "baz",
},
]
),
]
INVALID_CSV = [
(
'excel',
{'strict': True},
None,
'id,name,role\n1,"f"oo",bar\n2,bar,baz',
),
]
INVALID_DIALECT = [
(
'invalid',
{},
None,
"id,name,role\n1,foo,bar\n2,bar,baz",
),
]
@pytest.mark.parametrize("dialect,dialect_params,fieldnames,data,expected", VALID_CSV)
def test_valid_csv(data, dialect, dialect_params, fieldnames, expected):
dialect = csv.initialize_dialect(dialect, **dialect_params)
reader = csv.read_csv(data, dialect, fieldnames)
result = True
for idx, row in enumerate(reader):
for k, v in row.items():
if expected[idx][k] != v:
result = False
break
assert result
@pytest.mark.parametrize("dialect,dialect_params,fieldnames,data", INVALID_CSV)
def test_invalid_csv(data, dialect, dialect_params, fieldnames):
dialect = csv.initialize_dialect(dialect, **dialect_params)
reader = csv.read_csv(data, dialect, fieldnames)
result = False
try:
for row in reader:
continue
except csv.CSVError:
result = True
assert result
@pytest.mark.parametrize("dialect,dialect_params,fieldnames,data", INVALID_DIALECT)
def test_invalid_dialect(data, dialect, dialect_params, fieldnames):
result = False
try:
dialect = csv.initialize_dialect(dialect, **dialect_params)
except csv.DialectNotAvailableError:
result = True
assert result