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#!/usr/bin/python
# -*- coding: utf-8 -*-
# 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 absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r'''
---
module: read_csv
short_description: Read a CSV file
description:
- Read a CSV file and return a list or a dictionary, containing one dictionary per row.
author:
- Dag Wieers (@dagwieers)
extends_documentation_fragment:
- community.general.attributes
attributes:
check_mode:
support: full
diff_mode:
support: none
options:
path:
description:
- The CSV filename to read data from.
type: path
required: true
aliases: [ filename ]
key:
description:
- The column name used as a key for the resulting dictionary.
- If O(key) is unset, the module returns a list of dictionaries,
where each dictionary is a row in the CSV file.
type: str
dialect:
description:
- The CSV dialect to use when parsing the CSV file.
- Possible values include V(excel), V(excel-tab) or V(unix).
type: str
default: excel
fieldnames:
description:
- A list of field names for every column.
- This is needed if the CSV does not have a header.
type: list
elements: str
unique:
description:
- Whether the O(key) used is expected to be unique.
type: bool
default: true
delimiter:
description:
- A one-character string used to separate fields.
- When using this parameter, you change the default value used by O(dialect).
- The default value depends on the dialect used.
type: str
skipinitialspace:
description:
- Whether to ignore any whitespaces immediately following the delimiter.
- When using this parameter, you change the default value used by O(dialect).
- The default value depends on the dialect used.
type: bool
strict:
description:
- Whether to raise an exception on bad CSV input.
- When using this parameter, you change the default value used by O(dialect).
- The default value depends on the dialect used.
type: bool
seealso:
- plugin: ansible.builtin.csvfile
plugin_type: lookup
description: Can be used to do selective lookups in CSV files from Jinja.
'''
EXAMPLES = r'''
# Example CSV file with header
#
# name,uid,gid
# dag,500,500
# jeroen,501,500
# Read a CSV file and access user 'dag'
- name: Read users from CSV file and return a dictionary
community.general.read_csv:
path: users.csv
key: name
register: users
delegate_to: localhost
- ansible.builtin.debug:
msg: 'User {{ users.dict.dag.name }} has UID {{ users.dict.dag.uid }} and GID {{ users.dict.dag.gid }}'
# Read a CSV file and access the first item
- name: Read users from CSV file and return a list
community.general.read_csv:
path: users.csv
register: users
delegate_to: localhost
- ansible.builtin.debug:
msg: 'User {{ users.list.1.name }} has UID {{ users.list.1.uid }} and GID {{ users.list.1.gid }}'
# Example CSV file without header and semi-colon delimiter
#
# dag;500;500
# jeroen;501;500
# Read a CSV file without headers
- name: Read users from CSV file and return a list
community.general.read_csv:
path: users.csv
fieldnames: name,uid,gid
delimiter: ';'
register: users
delegate_to: localhost
'''
RETURN = r'''
dict:
description: The CSV content as a dictionary.
returned: success
type: dict
sample:
dag:
name: dag
uid: 500
gid: 500
jeroen:
name: jeroen
uid: 501
gid: 500
list:
description: The CSV content as a list.
returned: success
type: list
sample:
- name: dag
uid: 500
gid: 500
- name: jeroen
uid: 501
gid: 500
'''
from ansible.module_utils.basic import AnsibleModule
from ansible.module_utils.common.text.converters import to_native
from ansible_collections.community.general.plugins.module_utils.csv import (initialize_dialect, read_csv, CSVError,
DialectNotAvailableError,
CustomDialectFailureError)
def main():
module = AnsibleModule(
argument_spec=dict(
path=dict(type='path', required=True, aliases=['filename']),
dialect=dict(type='str', default='excel'),
key=dict(type='str', no_log=False),
fieldnames=dict(type='list', elements='str'),
unique=dict(type='bool', default=True),
delimiter=dict(type='str'),
skipinitialspace=dict(type='bool'),
strict=dict(type='bool'),
),
supports_check_mode=True,
)
path = module.params['path']
dialect = module.params['dialect']
key = module.params['key']
fieldnames = module.params['fieldnames']
unique = module.params['unique']
dialect_params = {
"delimiter": module.params['delimiter'],
"skipinitialspace": module.params['skipinitialspace'],
"strict": module.params['strict'],
}
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_native(e))
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)))
data_dict = dict()
data_list = list()
if key is None:
try:
for row in reader:
data_list.append(row)
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 CSVError as e:
module.fail_json(msg="Unable to process file: %s" % to_native(e))
module.exit_json(dict=data_dict, list=data_list)
if __name__ == '__main__':
main()
|
