ACIL FM

Nama	Ukuran	Aksi
counter.py	1.89 MB	View DL Edit
crc32.py	1.6 MB	View DL Edit
dict.py	1.93 MB	View DL Edit
dict_kv.py	2.47 MB	View DL Edit
from_csv.py	3.62 MB	View DL Edit
groupby_as_dict.py	2.77 MB	View DL Edit
hashids.py	2.81 MB	View DL Edit
hashids_decode.yml	1.14 MB	View DL Edit
hashids_encode.yml	1.14 MB	View DL Edit
jc.py	4.74 MB	View DL Edit
json_query.py	4.96 MB	View DL Edit
lists_mergeby.py	6.2 MB	View DL Edit
random_mac.py	2.79 MB	View DL Edit
time.py	4.32 MB	View DL Edit
to_days.yml	1.53 MB	View DL Edit
to_hours.yml	1.54 MB	View DL Edit
to_milliseconds.yml	1.58 MB	View DL Edit
to_minutes.yml	1.55 MB	View DL Edit
to_months.yml	1.54 MB	View DL Edit
to_seconds.yml	1.55 MB	View DL Edit
to_time_unit.yml	2.28 MB	View DL Edit
to_weeks.yml	1.53 MB	View DL Edit
to_years.yml	1.53 MB	View DL Edit
unicode_normalize.py	2.36 MB	View DL Edit
version_sort.py	1.48 MB	View DL Edit

Edit file: /usr/share/ansible/collections/ansible_collections/community/general/plugins/filter/from_csv.py

# -*- 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 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 = '''
  name: from_csv
  short_description: Converts CSV text input into list of dicts
  version_added: 2.3.0
  author: Andrew Pantuso (@Ajpantuso)
  description:
    - Converts CSV text input into list of dictionaries.
  options:
    _input:
      description: A string containing a CSV document.
      type: string
      required: true
    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
    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
'''

EXAMPLES = '''
- name: Parse a CSV file's contents
  ansible.builtin.debug:
    msg: >-
      {{ csv_data | community.general.from_csv(dialect='unix') }}
  vars:
    csv_data: |
      Column 1,Value
      foo,23
      bar,42
  # Produces the following list of dictionaries:
  #   {
  #     "Column 1": "foo",
  #     "Value": "23",
  #   },
  #   {
  #     "Column 1": "bar",
  #     "Value": "42",
  #   }
'''

RETURN = '''
  _value:
    description: A list with one dictionary per row.
    type: list
    elements: dictionary
'''

from ansible.errors import AnsibleFilterError
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 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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