2019-09-10 14:58:26 +00:00
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# -*- coding: utf-8 -*-
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2020-09-17 17:05:55 +00:00
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from benedict.dicts.base import BaseDict
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2020-02-03 17:25:54 +00:00
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from benedict.dicts.io import io_util
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from benedict.utils import type_util
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2019-09-10 14:58:26 +00:00
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2020-09-17 17:05:55 +00:00
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class IODict(BaseDict):
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2019-09-10 14:58:26 +00:00
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def __init__(self, *args, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Constructs a new instance.
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"""
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2020-01-25 11:08:24 +00:00
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# if first argument is data-string, url or filepath try to decode it.
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2019-11-07 16:45:45 +00:00
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# use 'format' kwarg to specify the decoder to use, default 'json'.
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2020-09-09 14:47:25 +00:00
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if len(args) == 1 and type_util.is_string(args[0]):
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2020-03-13 12:54:53 +00:00
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d = IODict._decode_init(args[0], **kwargs)
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2020-01-25 11:08:24 +00:00
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super(IODict, self).__init__(d)
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return
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super(IODict, self).__init__(*args, **kwargs)
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@staticmethod
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2020-03-13 12:54:53 +00:00
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def _decode_init(s, **kwargs):
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2020-08-12 10:46:52 +00:00
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autodetected_format = io_util.autodetect_format(s)
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default_format = autodetected_format or 'json'
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2020-03-13 12:54:53 +00:00
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format = kwargs.pop('format', default_format).lower()
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2020-01-25 11:08:24 +00:00
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if format in ['b64', 'base64']:
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kwargs.setdefault('subformat', 'json')
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# decode data-string and initialize with dict data.
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2020-08-12 10:47:43 +00:00
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return IODict._decode(s, format, **kwargs)
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2019-09-10 14:58:26 +00:00
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@staticmethod
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2019-11-07 16:45:45 +00:00
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def _decode(s, format, **kwargs):
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2019-09-10 14:58:26 +00:00
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try:
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2019-10-03 16:42:44 +00:00
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content = io_util.read_content(s)
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2019-11-07 16:45:45 +00:00
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# decode content using the given format
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data = io_util.decode(content, format, **kwargs)
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2020-01-30 14:31:53 +00:00
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if type_util.is_dict(data):
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2020-01-31 12:02:07 +00:00
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return data
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2020-01-30 14:31:53 +00:00
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elif type_util.is_list(data):
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2019-09-17 09:50:06 +00:00
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# force list to dict
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2020-02-04 10:29:00 +00:00
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return {'values': data}
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2019-09-17 09:50:06 +00:00
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else:
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raise ValueError(
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2020-02-04 10:29:00 +00:00
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'Invalid data type: {}, expected dict or list.'.format(
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type(data)))
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2019-09-10 14:58:26 +00:00
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except Exception as e:
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raise ValueError(
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2020-02-04 10:29:00 +00:00
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'Invalid data or url or filepath argument: {}\n{}'.format(
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s, e))
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2019-09-10 14:58:26 +00:00
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@staticmethod
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2019-11-07 16:45:45 +00:00
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def _encode(d, format, **kwargs):
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filepath = kwargs.pop('filepath', None)
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s = io_util.encode(d, format, **kwargs)
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2019-09-10 14:58:26 +00:00
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if filepath:
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io_util.write_file(filepath, s)
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return s
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2019-11-11 13:37:24 +00:00
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@classmethod
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def from_base64(cls, s, subformat='json', encoding='utf-8', **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Load and decode Base64 data from url, filepath or data-string.
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Data is decoded according to subformat and encoding.
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Decoder specific options can be passed using kwargs.
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2019-11-07 16:45:45 +00:00
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kwargs['subformat'] = subformat
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kwargs['encoding'] = encoding
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2020-03-13 12:54:53 +00:00
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return cls(s, format='base64', **kwargs)
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2019-09-10 14:58:26 +00:00
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2019-11-11 13:37:24 +00:00
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@classmethod
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def from_csv(cls, s, columns=None, columns_row=True, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Load and decode CSV data from url, filepath or data-string.
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2020-02-04 10:29:00 +00:00
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Decoder specific options can be passed using kwargs:
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https://docs.python.org/3/library/csv.html
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2019-12-12 17:24:16 +00:00
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2019-11-07 16:45:45 +00:00
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kwargs['columns'] = columns
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kwargs['columns_row'] = columns_row
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2020-03-13 12:54:53 +00:00
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return cls(s, format='csv', **kwargs)
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2019-10-03 16:45:22 +00:00
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2020-02-21 12:54:08 +00:00
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@classmethod
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2020-09-09 10:22:56 +00:00
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def from_json(cls, s, **kwargs):
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2020-02-21 12:54:08 +00:00
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"""
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2020-09-09 10:22:56 +00:00
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Load and decode JSON data from url, filepath or data-string.
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2020-02-21 12:54:08 +00:00
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Decoder specific options can be passed using kwargs:
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2020-09-09 10:22:56 +00:00
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https://docs.python.org/3/library/json.html
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2020-02-21 12:54:08 +00:00
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2020-09-09 10:22:56 +00:00
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return cls(s, format='json', **kwargs)
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2020-02-21 12:54:08 +00:00
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2019-11-11 13:37:24 +00:00
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@classmethod
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2020-09-09 10:22:56 +00:00
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def from_pickle(cls, s, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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2020-09-09 10:22:56 +00:00
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Load and decode a pickle encoded in Base64 format data from url, filepath or data-string.
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2020-02-04 10:29:00 +00:00
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Decoder specific options can be passed using kwargs:
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2020-09-09 10:22:56 +00:00
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https://docs.python.org/3/library/pickle.html
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2019-12-12 17:24:16 +00:00
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2020-09-09 10:22:56 +00:00
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return cls(s, format='pickle', **kwargs)
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2019-09-10 14:58:26 +00:00
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2020-09-09 14:45:39 +00:00
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@classmethod
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def from_plist(cls, s, **kwargs):
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"""
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Load and decode p-list data from url, filepath or data-string.
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Decoder specific options can be passed using kwargs:
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https://docs.python.org/3/library/plistlib.html
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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return cls(s, format='plist', **kwargs)
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2019-11-11 13:37:24 +00:00
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@classmethod
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def from_query_string(cls, s, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Load and decode query-string from url, filepath or data-string.
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2020-03-13 12:54:53 +00:00
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return cls(s, format='query_string', **kwargs)
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2019-10-14 12:47:11 +00:00
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2019-11-11 13:37:24 +00:00
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@classmethod
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def from_toml(cls, s, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Load and decode TOML data from url, filepath or data-string.
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2020-02-04 10:29:00 +00:00
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Decoder specific options can be passed using kwargs:
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https://pypi.org/project/toml/
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2019-12-12 17:24:16 +00:00
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2020-03-13 12:54:53 +00:00
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return cls(s, format='toml', **kwargs)
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2019-09-20 14:21:04 +00:00
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2019-11-11 13:37:24 +00:00
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@classmethod
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def from_xml(cls, s, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Load and decode XML data from url, filepath or data-string.
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2020-02-04 10:29:00 +00:00
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Decoder specific options can be passed using kwargs:
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https://github.com/martinblech/xmltodict
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2019-12-12 17:24:16 +00:00
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2020-03-13 12:54:53 +00:00
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return cls(s, format='xml', **kwargs)
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2019-09-23 12:13:52 +00:00
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2019-11-11 13:37:24 +00:00
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@classmethod
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def from_yaml(cls, s, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Load and decode YAML data from url, filepath or data-string.
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2020-02-04 10:29:00 +00:00
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Decoder specific options can be passed using kwargs:
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https://pyyaml.org/wiki/PyYAMLDocumentation
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2019-12-12 17:24:16 +00:00
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Return a new dict instance. A ValueError is raised in case of failure.
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"""
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2020-03-13 12:54:53 +00:00
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return cls(s, format='yaml', **kwargs)
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2019-09-17 09:50:06 +00:00
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2019-11-07 16:45:45 +00:00
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def to_base64(self, subformat='json', encoding='utf-8', **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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2020-02-04 10:29:00 +00:00
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Encode the current dict instance in Base64 format
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using the given subformat and encoding.
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2019-12-12 17:24:16 +00:00
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Encoder specific options can be passed using kwargs.
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2020-02-04 10:29:00 +00:00
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Return the encoded string and optionally save it at 'filepath'.
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2019-12-12 17:24:16 +00:00
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A ValueError is raised in case of failure.
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"""
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2019-11-07 16:45:45 +00:00
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kwargs['subformat'] = subformat
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2019-10-29 15:22:24 +00:00
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kwargs['encoding'] = encoding
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'base64', **kwargs)
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2019-11-07 16:45:45 +00:00
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def to_csv(self, key='values', columns=None, columns_row=True, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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2021-04-23 10:56:00 +00:00
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Encode a list of dicts in the current dict instance in CSV format.
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2020-02-04 10:29:00 +00:00
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Encoder specific options can be passed using kwargs:
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https://docs.python.org/3/library/csv.html
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Return the encoded string and optionally save it at 'filepath'.
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2019-12-12 17:24:16 +00:00
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A ValueError is raised in case of failure.
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"""
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2019-11-07 16:45:45 +00:00
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kwargs['columns'] = columns
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kwargs['columns_row'] = columns_row
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict()[key], 'csv', **kwargs)
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2019-11-07 16:45:45 +00:00
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2020-09-09 10:22:56 +00:00
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def to_json(self, **kwargs):
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2020-02-21 12:54:08 +00:00
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"""
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2020-09-09 10:22:56 +00:00
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Encode the current dict instance in JSON format.
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2020-02-21 12:54:08 +00:00
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Encoder specific options can be passed using kwargs:
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2020-09-09 10:22:56 +00:00
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https://docs.python.org/3/library/json.html
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2020-02-21 12:54:08 +00:00
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Return the encoded string and optionally save it at 'filepath'.
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A ValueError is raised in case of failure.
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"""
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'json', **kwargs)
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2020-02-21 12:54:08 +00:00
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2020-09-09 10:22:56 +00:00
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def to_pickle(self, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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2020-09-09 10:22:56 +00:00
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Encode the current dict instance as pickle (encoded in Base64).
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The pickle protocol used by default is 2.
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2020-02-04 10:29:00 +00:00
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Encoder specific options can be passed using kwargs:
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2020-09-09 10:22:56 +00:00
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https://docs.python.org/3/library/pickle.html
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2020-02-04 10:29:00 +00:00
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Return the encoded string and optionally save it at 'filepath'.
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2019-12-12 17:24:16 +00:00
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A ValueError is raised in case of failure.
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"""
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'pickle', **kwargs)
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2019-11-07 16:45:45 +00:00
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2020-09-09 14:45:39 +00:00
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def to_plist(self, **kwargs):
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"""
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Encode the current dict instance as p-list.
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Encoder specific options can be passed using kwargs:
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https://docs.python.org/3/library/plistlib.html
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Return the encoded string and optionally save it at 'filepath'.
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A ValueError is raised in case of failure.
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"""
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'plist', **kwargs)
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2020-09-09 14:45:39 +00:00
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2019-11-07 16:45:45 +00:00
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def to_query_string(self, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Encode the current dict instance in query-string format.
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2020-02-04 10:29:00 +00:00
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Return the encoded string and optionally save it at 'filepath'.
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2019-12-12 17:24:16 +00:00
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A ValueError is raised in case of failure.
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"""
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'query_string', **kwargs)
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2019-11-07 16:45:45 +00:00
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def to_toml(self, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Encode the current dict instance in TOML format.
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2020-02-04 10:29:00 +00:00
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Encoder specific options can be passed using kwargs:
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https://pypi.org/project/toml/
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Return the encoded string and optionally save it at 'filepath'.
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2019-12-12 17:24:16 +00:00
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A ValueError is raised in case of failure.
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"""
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'toml', **kwargs)
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2019-11-07 16:45:45 +00:00
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def to_xml(self, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Encode the current dict instance in XML format.
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2020-02-04 10:29:00 +00:00
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Encoder specific options can be passed using kwargs:
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https://github.com/martinblech/xmltodict
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Return the encoded string and optionally save it at 'filepath'.
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2019-12-12 17:24:16 +00:00
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A ValueError is raised in case of failure.
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"""
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'xml', **kwargs)
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2019-11-07 16:45:45 +00:00
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def to_yaml(self, **kwargs):
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2019-12-12 17:24:16 +00:00
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"""
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Encode the current dict instance in YAML format.
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2020-02-04 10:29:00 +00:00
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Encoder specific options can be passed using kwargs:
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https://pyyaml.org/wiki/PyYAMLDocumentation
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Return the encoded string and optionally save it at 'filepath'.
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2019-12-12 17:24:16 +00:00
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A ValueError is raised in case of failure.
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"""
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2021-05-04 13:12:02 +00:00
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return self._encode(self.dict(), 'yaml', **kwargs)
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