benedict.dicts.io.io_dict.IODict.from_csv() - Code Metrics - fabiocaccamo/python-benedict - Measure and Improve Code Quality continuously with Scrutinizer

benedict.dicts.io.io_dict.IODict.from_csv() A
last analyzed 2023-01-16 22:41 UTC

↳ Parent: benedict.dicts.io.io_dict

Complexity

Conditions

Size

Total Lines	11
Code Lines	5

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	5
dl	0
loc	11
rs	10
c	0
b	0
f	0
cc	1
nop	5

from benedict.dicts.base import BaseDict
from benedict.dicts.io import io_util
from benedict.utils import type_util


class IODict(BaseDict):
    def __init__(self, *args, **kwargs):
        """
        Constructs a new instance.
        """
        # if first argument is data-string, url or filepath (str or pathlib.Path) try to decode it.
        # use 'format' kwarg to specify the decoder to use, default 'json'.
        if len(args) == 1:
            arg = args[0]
            if type_util.is_string(arg) or type_util.is_path(arg):
                d = IODict._decode_init(arg, **kwargs)
                super().__init__(d)
                return
        super().__init__(*args, **kwargs)

    @staticmethod
    def _decode_init(s, **kwargs):
        autodetected_format = io_util.autodetect_format(s)
        default_format = autodetected_format or "json"
        format = kwargs.pop("format", default_format).lower()
        # decode data-string and initialize with dict data.
        return IODict._decode(s, format, **kwargs)

    @staticmethod
    def _decode(s, format, **kwargs):
        data = None
        try:
            data = io_util.decode(s, format, **kwargs)
        except Exception as e:
            raise ValueError(f"Invalid data or url or filepath argument: {s}\n{e}")
        # if possible return data as dict, otherwise raise exception
        if type_util.is_dict(data):
            return data
        elif type_util.is_list(data):
            # force list to dict
            return {"values": data}
        else:
            raise ValueError(f"Invalid data type: {type(data)}, expected dict or list.")

    @staticmethod
    def _encode(d, format, **kwargs):
        s = io_util.encode(d, format, **kwargs)
        return s

    @classmethod
    def from_base64(cls, s, subformat="json", encoding="utf-8", **kwargs):
        """
        Load and decode Base64 data from url, filepath or data-string.
        Data is decoded according to subformat and encoding.
        Decoder specific options can be passed using kwargs.
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        kwargs["subformat"] = subformat
        kwargs["encoding"] = encoding
        return cls(s, format="base64", **kwargs)

    @classmethod
    def from_csv(cls, s, columns=None, columns_row=True, **kwargs):
        """
        Load and decode CSV data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/csv.html
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        kwargs["columns"] = columns
        kwargs["columns_row"] = columns_row
        return cls(s, format="csv", **kwargs)

    @classmethod
    def from_ini(cls, s, **kwargs):
        """
        Load and decode INI data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/configparser.html
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="ini", **kwargs)

    @classmethod
    def from_json(cls, s, **kwargs):
        """
        Load and decode JSON data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/json.html
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="json", **kwargs)

    @classmethod
    def from_pickle(cls, s, **kwargs):
        """
        Load and decode a pickle encoded in Base64 format data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/pickle.html
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="pickle", **kwargs)

    @classmethod
    def from_plist(cls, s, **kwargs):
        """
        Load and decode p-list data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/plistlib.html
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="plist", **kwargs)

    @classmethod
    def from_query_string(cls, s, **kwargs):
        """
        Load and decode query-string from url, filepath or data-string.
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="query_string", **kwargs)

    @classmethod
    def from_toml(cls, s, **kwargs):
        """
        Load and decode TOML data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://pypi.org/project/toml/
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="toml", **kwargs)

    @classmethod
    def from_xls(cls, s, sheet=0, columns=None, columns_row=True, **kwargs):
        """
        Load and decode XLS files (".xls", ".xlsx", ".xlsm") from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        - https://openpyxl.readthedocs.io/ (for .xlsx and .xlsm files)
        - https://pypi.org/project/xlrd/ (for .xls files)
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        kwargs["sheet"] = sheet
        kwargs["columns"] = columns
        kwargs["columns_row"] = columns_row
        return cls(s, format="xls", **kwargs)

    @classmethod
    def from_xml(cls, s, **kwargs):
        """
        Load and decode XML data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://github.com/martinblech/xmltodict
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="xml", **kwargs)

    @classmethod
    def from_yaml(cls, s, **kwargs):
        """
        Load and decode YAML data from url, filepath or data-string.
        Decoder specific options can be passed using kwargs:
        https://pyyaml.org/wiki/PyYAMLDocumentation
        Return a new dict instance. A ValueError is raised in case of failure.
        """
        return cls(s, format="yaml", **kwargs)

    def to_base64(self, subformat="json", encoding="utf-8", **kwargs):
        """
        Encode the current dict instance in Base64 format
        using the given subformat and encoding.
        Encoder specific options can be passed using kwargs.
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        kwargs["subformat"] = subformat
        kwargs["encoding"] = encoding
        return self._encode(self.dict(), "base64", **kwargs)

    def to_csv(self, key="values", columns=None, columns_row=True, **kwargs):
        """
        Encode a list of dicts in the current dict instance in CSV format.
        Encoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/csv.html
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        kwargs["columns"] = columns
        kwargs["columns_row"] = columns_row
        return self._encode(self.dict()[key], "csv", **kwargs)

    def to_ini(self, **kwargs):
        """
        Encode the current dict instance in INI format.
        Encoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/configparser.html
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "ini", **kwargs)

    def to_json(self, **kwargs):
        """
        Encode the current dict instance in JSON format.
        Encoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/json.html
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "json", **kwargs)

    def to_pickle(self, **kwargs):
        """
        Encode the current dict instance as pickle (encoded in Base64).
        The pickle protocol used by default is 2.
        Encoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/pickle.html
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "pickle", **kwargs)

    def to_plist(self, **kwargs):
        """
        Encode the current dict instance as p-list.
        Encoder specific options can be passed using kwargs:
        https://docs.python.org/3/library/plistlib.html
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "plist", **kwargs)

    def to_query_string(self, **kwargs):
        """
        Encode the current dict instance in query-string format.
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "query_string", **kwargs)

    def to_toml(self, **kwargs):
        """
        Encode the current dict instance in TOML format.
        Encoder specific options can be passed using kwargs:
        https://pypi.org/project/toml/
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "toml", **kwargs)

    def to_xml(self, **kwargs):
        """
        Encode the current dict instance in XML format.
        Encoder specific options can be passed using kwargs:
        https://github.com/martinblech/xmltodict
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "xml", **kwargs)

    def to_xls(
        self,
        key="values",
        sheet=0,
        columns=None,
        columns_row=True,
        format="xlsx",
        **kwargs,
    ):
        """
        Encode a list of dicts in the current dict instance in XLS format.
        Encoder specific options can be passed using kwargs:
        - https://openpyxl.readthedocs.io/ (for .xlsx and .xlsm files)
        - https://pypi.org/project/xlrd/ (for .xls files)
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        # kwargs["sheet"] = sheet
        # kwargs["columns"] = columns
        # kwargs["columns_row"] = columns_row
        # kwargs["format"] = format
        # return self._encode(self.dict()[key], "xls", **kwargs)
        raise NotImplementedError

    def to_yaml(self, **kwargs):
        """
        Encode the current dict instance in YAML format.
        Encoder specific options can be passed using kwargs:
        https://pyyaml.org/wiki/PyYAMLDocumentation
        Return the encoded string and optionally save it at 'filepath'.
        A ValueError is raised in case of failure.
        """
        return self._encode(self.dict(), "yaml", **kwargs)


1			from benedict.dicts.base import BaseDict
2			from benedict.dicts.io import io_util
3			from benedict.utils import type_util
4
5
6			class IODict(BaseDict):
7			def __init__(self, args, *kwargs):
8			"""
9			Constructs a new instance.
10			"""
11			# if first argument is data-string, url or filepath (str or pathlib.Path) try to decode it.
12			# use 'format' kwarg to specify the decoder to use, default 'json'.
13			if len(args) == 1:
14			arg = args[0]
15			if type_util.is_string(arg) or type_util.is_path(arg):
16			d = IODict._decode_init(arg, **kwargs)
17			super().__init__(d)
18			return
19			super().__init__(args, *kwargs)
20
21			@staticmethod
22			def _decode_init(s, **kwargs):
23			autodetected_format = io_util.autodetect_format(s)
24			default_format = autodetected_format or "json"
25			format = kwargs.pop("format", default_format).lower()
26			# decode data-string and initialize with dict data.
27			return IODict._decode(s, format, **kwargs)
28
29			@staticmethod
30			def _decode(s, format, **kwargs):
31			data = None
32			try:
33			data = io_util.decode(s, format, **kwargs)
34			except Exception as e:
35			raise ValueError(f"Invalid data or url or filepath argument: {s}\n{e}")
36			# if possible return data as dict, otherwise raise exception
37			if type_util.is_dict(data):
38			return data
39			elif type_util.is_list(data):
40			# force list to dict
41			return {"values": data}
42			else:
43			raise ValueError(f"Invalid data type: {type(data)}, expected dict or list.")
44
45			@staticmethod
46			def _encode(d, format, **kwargs):
47			s = io_util.encode(d, format, **kwargs)
48			return s
49
50			@classmethod
51			def from_base64(cls, s, subformat="json", encoding="utf-8", **kwargs):
52			"""
53			Load and decode Base64 data from url, filepath or data-string.
54			Data is decoded according to subformat and encoding.
55			Decoder specific options can be passed using kwargs.
56			Return a new dict instance. A ValueError is raised in case of failure.
57			"""
58			kwargs["subformat"] = subformat
59			kwargs["encoding"] = encoding
60			return cls(s, format="base64", **kwargs)
61
62			@classmethod
63			def from_csv(cls, s, columns=None, columns_row=True, **kwargs):
64			"""
65			Load and decode CSV data from url, filepath or data-string.
66			Decoder specific options can be passed using kwargs:
67			https://docs.python.org/3/library/csv.html
68			Return a new dict instance. A ValueError is raised in case of failure.
69			"""
70			kwargs["columns"] = columns
71			kwargs["columns_row"] = columns_row
72			return cls(s, format="csv", **kwargs)
73
74			@classmethod
75			def from_ini(cls, s, **kwargs):
76			"""
77			Load and decode INI data from url, filepath or data-string.
78			Decoder specific options can be passed using kwargs:
79			https://docs.python.org/3/library/configparser.html
80			Return a new dict instance. A ValueError is raised in case of failure.
81			"""
82			return cls(s, format="ini", **kwargs)
83
84			@classmethod
85			def from_json(cls, s, **kwargs):
86			"""
87			Load and decode JSON data from url, filepath or data-string.
88			Decoder specific options can be passed using kwargs:
89			https://docs.python.org/3/library/json.html
90			Return a new dict instance. A ValueError is raised in case of failure.
91			"""
92			return cls(s, format="json", **kwargs)
93
94			@classmethod
95			def from_pickle(cls, s, **kwargs):
96			"""
97			Load and decode a pickle encoded in Base64 format data from url, filepath or data-string.
98			Decoder specific options can be passed using kwargs:
99			https://docs.python.org/3/library/pickle.html
100			Return a new dict instance. A ValueError is raised in case of failure.
101			"""
102			return cls(s, format="pickle", **kwargs)
103
104			@classmethod
105			def from_plist(cls, s, **kwargs):
106			"""
107			Load and decode p-list data from url, filepath or data-string.
108			Decoder specific options can be passed using kwargs:
109			https://docs.python.org/3/library/plistlib.html
110			Return a new dict instance. A ValueError is raised in case of failure.
111			"""
112			return cls(s, format="plist", **kwargs)
113
114			@classmethod
115			def from_query_string(cls, s, **kwargs):
116			"""
117			Load and decode query-string from url, filepath or data-string.
118			Return a new dict instance. A ValueError is raised in case of failure.
119			"""
120			return cls(s, format="query_string", **kwargs)
121
122			@classmethod
123			def from_toml(cls, s, **kwargs):
124			"""
125			Load and decode TOML data from url, filepath or data-string.
126			Decoder specific options can be passed using kwargs:
127			https://pypi.org/project/toml/
128			Return a new dict instance. A ValueError is raised in case of failure.
129			"""
130			return cls(s, format="toml", **kwargs)
131
132			@classmethod
133			def from_xls(cls, s, sheet=0, columns=None, columns_row=True, **kwargs):
134			"""
135			Load and decode XLS files (".xls", ".xlsx", ".xlsm") from url, filepath or data-string.
136			Decoder specific options can be passed using kwargs:
137			- https://openpyxl.readthedocs.io/ (for .xlsx and .xlsm files)
138			- https://pypi.org/project/xlrd/ (for .xls files)
139			Return a new dict instance. A ValueError is raised in case of failure.
140			"""
141			kwargs["sheet"] = sheet
142			kwargs["columns"] = columns
143			kwargs["columns_row"] = columns_row
144			return cls(s, format="xls", **kwargs)
145
146			@classmethod
147			def from_xml(cls, s, **kwargs):
148			"""
149			Load and decode XML data from url, filepath or data-string.
150			Decoder specific options can be passed using kwargs:
151			https://github.com/martinblech/xmltodict
152			Return a new dict instance. A ValueError is raised in case of failure.
153			"""
154			return cls(s, format="xml", **kwargs)
155
156			@classmethod
157			def from_yaml(cls, s, **kwargs):
158			"""
159			Load and decode YAML data from url, filepath or data-string.
160			Decoder specific options can be passed using kwargs:
161			https://pyyaml.org/wiki/PyYAMLDocumentation
162			Return a new dict instance. A ValueError is raised in case of failure.
163			"""
164			return cls(s, format="yaml", **kwargs)
165
166			def to_base64(self, subformat="json", encoding="utf-8", **kwargs):
167			"""
168			Encode the current dict instance in Base64 format
169			using the given subformat and encoding.
170			Encoder specific options can be passed using kwargs.
171			Return the encoded string and optionally save it at 'filepath'.
172			A ValueError is raised in case of failure.
173			"""
174			kwargs["subformat"] = subformat
175			kwargs["encoding"] = encoding
176			return self._encode(self.dict(), "base64", **kwargs)
177
178			def to_csv(self, key="values", columns=None, columns_row=True, **kwargs):
179			"""
180			Encode a list of dicts in the current dict instance in CSV format.
181			Encoder specific options can be passed using kwargs:
182			https://docs.python.org/3/library/csv.html
183			Return the encoded string and optionally save it at 'filepath'.
184			A ValueError is raised in case of failure.
185			"""
186			kwargs["columns"] = columns
187			kwargs["columns_row"] = columns_row
188			return self._encode(self.dict()[key], "csv", **kwargs)
189
190			def to_ini(self, **kwargs):
191			"""
192			Encode the current dict instance in INI format.
193			Encoder specific options can be passed using kwargs:
194			https://docs.python.org/3/library/configparser.html
195			Return the encoded string and optionally save it at 'filepath'.
196			A ValueError is raised in case of failure.
197			"""
198			return self._encode(self.dict(), "ini", **kwargs)
199
200			def to_json(self, **kwargs):
201			"""
202			Encode the current dict instance in JSON format.
203			Encoder specific options can be passed using kwargs:
204			https://docs.python.org/3/library/json.html
205			Return the encoded string and optionally save it at 'filepath'.
206			A ValueError is raised in case of failure.
207			"""
208			return self._encode(self.dict(), "json", **kwargs)
209
210			def to_pickle(self, **kwargs):
211			"""
212			Encode the current dict instance as pickle (encoded in Base64).
213			The pickle protocol used by default is 2.
214			Encoder specific options can be passed using kwargs:
215			https://docs.python.org/3/library/pickle.html
216			Return the encoded string and optionally save it at 'filepath'.
217			A ValueError is raised in case of failure.
218			"""
219			return self._encode(self.dict(), "pickle", **kwargs)
220
221			def to_plist(self, **kwargs):
222			"""
223			Encode the current dict instance as p-list.
224			Encoder specific options can be passed using kwargs:
225			https://docs.python.org/3/library/plistlib.html
226			Return the encoded string and optionally save it at 'filepath'.
227			A ValueError is raised in case of failure.
228			"""
229			return self._encode(self.dict(), "plist", **kwargs)
230
231			def to_query_string(self, **kwargs):
232			"""
233			Encode the current dict instance in query-string format.
234			Return the encoded string and optionally save it at 'filepath'.
235			A ValueError is raised in case of failure.
236			"""
237			return self._encode(self.dict(), "query_string", **kwargs)
238
239			def to_toml(self, **kwargs):
240			"""
241			Encode the current dict instance in TOML format.
242			Encoder specific options can be passed using kwargs:
243			https://pypi.org/project/toml/
244			Return the encoded string and optionally save it at 'filepath'.
245			A ValueError is raised in case of failure.
246			"""
247			return self._encode(self.dict(), "toml", **kwargs)
248
249			def to_xml(self, **kwargs):
250			"""
251			Encode the current dict instance in XML format.
252			Encoder specific options can be passed using kwargs:
253			https://github.com/martinblech/xmltodict
254			Return the encoded string and optionally save it at 'filepath'.
255			A ValueError is raised in case of failure.
256			"""
257			return self._encode(self.dict(), "xml", **kwargs)
258
259			def to_xls(
260			self,
261			key="values",
262			sheet=0,
263			columns=None,
264			columns_row=True,
265			format="xlsx",
266			**kwargs,
267			):
268			"""
269			Encode a list of dicts in the current dict instance in XLS format.
270			Encoder specific options can be passed using kwargs:
271			- https://openpyxl.readthedocs.io/ (for .xlsx and .xlsm files)
272			- https://pypi.org/project/xlrd/ (for .xls files)
273			Return the encoded string and optionally save it at 'filepath'.
274			A ValueError is raised in case of failure.
275			"""
276			# kwargs["sheet"] = sheet
277			# kwargs["columns"] = columns
278			# kwargs["columns_row"] = columns_row
279			# kwargs["format"] = format
280			# return self._encode(self.dict()[key], "xls", **kwargs)
281			raise NotImplementedError
282
283			def to_yaml(self, **kwargs):
284			"""
285			Encode the current dict instance in YAML format.
286			Encoder specific options can be passed using kwargs:
287			https://pyyaml.org/wiki/PyYAMLDocumentation
288			Return the encoded string and optionally save it at 'filepath'.
289			A ValueError is raised in case of failure.
290			"""
291			return self._encode(self.dict(), "yaml", **kwargs)
292

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benedict.dicts.io.io_dict.IODict.from_csv() A last analyzed 2023-01-16 22:41 UTC

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benedict.dicts.io.io_dict.IODict.from_csv() A
last analyzed 2023-01-16 22:41 UTC