File: measurement_schema_column.py

package info (click to toggle)
python-influxdb-client 1.40.0-3
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 7,216 kB
  • sloc: python: 60,236; sh: 64; makefile: 53
file content (155 lines) | stat: -rw-r--r-- 4,536 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
# coding: utf-8

"""
InfluxDB OSS API Service.

The InfluxDB v2 API provides a programmatic interface for all interactions with InfluxDB. Access the InfluxDB API using the `/api/v2/` endpoint.   # noqa: E501

OpenAPI spec version: 2.0.0
Generated by: https://openapi-generator.tech
"""


import pprint
import re  # noqa: F401


class MeasurementSchemaColumn(object):
    """NOTE: This class is auto generated by OpenAPI Generator.

    Ref: https://openapi-generator.tech

    Do not edit the class manually.
    """

    """
    Attributes:
      openapi_types (dict): The key is attribute name
                            and the value is attribute type.
      attribute_map (dict): The key is attribute name
                            and the value is json key in definition.
    """
    openapi_types = {
        'name': 'str',
        'type': 'ColumnSemanticType',
        'data_type': 'ColumnDataType'
    }

    attribute_map = {
        'name': 'name',
        'type': 'type',
        'data_type': 'dataType'
    }

    def __init__(self, name=None, type=None, data_type=None):  # noqa: E501,D401,D403
        """MeasurementSchemaColumn - a model defined in OpenAPI."""  # noqa: E501
        self._name = None
        self._type = None
        self._data_type = None
        self.discriminator = None

        self.name = name
        self.type = type
        if data_type is not None:
            self.data_type = data_type

    @property
    def name(self):
        """Get the name of this MeasurementSchemaColumn.

        :return: The name of this MeasurementSchemaColumn.
        :rtype: str
        """  # noqa: E501
        return self._name

    @name.setter
    def name(self, name):
        """Set the name of this MeasurementSchemaColumn.

        :param name: The name of this MeasurementSchemaColumn.
        :type: str
        """  # noqa: E501
        if name is None:
            raise ValueError("Invalid value for `name`, must not be `None`")  # noqa: E501
        self._name = name

    @property
    def type(self):
        """Get the type of this MeasurementSchemaColumn.

        :return: The type of this MeasurementSchemaColumn.
        :rtype: ColumnSemanticType
        """  # noqa: E501
        return self._type

    @type.setter
    def type(self, type):
        """Set the type of this MeasurementSchemaColumn.

        :param type: The type of this MeasurementSchemaColumn.
        :type: ColumnSemanticType
        """  # noqa: E501
        if type is None:
            raise ValueError("Invalid value for `type`, must not be `None`")  # noqa: E501
        self._type = type

    @property
    def data_type(self):
        """Get the data_type of this MeasurementSchemaColumn.

        :return: The data_type of this MeasurementSchemaColumn.
        :rtype: ColumnDataType
        """  # noqa: E501
        return self._data_type

    @data_type.setter
    def data_type(self, data_type):
        """Set the data_type of this MeasurementSchemaColumn.

        :param data_type: The data_type of this MeasurementSchemaColumn.
        :type: ColumnDataType
        """  # noqa: E501
        self._data_type = data_type

    def to_dict(self):
        """Return the model properties as a dict."""
        result = {}

        for attr, _ in self.openapi_types.items():
            value = getattr(self, attr)
            if isinstance(value, list):
                result[attr] = list(map(
                    lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
                    value
                ))
            elif hasattr(value, "to_dict"):
                result[attr] = value.to_dict()
            elif isinstance(value, dict):
                result[attr] = dict(map(
                    lambda item: (item[0], item[1].to_dict())
                    if hasattr(item[1], "to_dict") else item,
                    value.items()
                ))
            else:
                result[attr] = value

        return result

    def to_str(self):
        """Return the string representation of the model."""
        return pprint.pformat(self.to_dict())

    def __repr__(self):
        """For `print` and `pprint`."""
        return self.to_str()

    def __eq__(self, other):
        """Return true if both objects are equal."""
        if not isinstance(other, MeasurementSchemaColumn):
            return False

        return self.__dict__ == other.__dict__

    def __ne__(self, other):
        """Return true if both objects are not equal."""
        return not self == other