Coverage for skema/gromet/metadata/debug.py: 86%

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1# coding: utf-8 

2 

3""" 

4 GroMEt Metadata spec 

5 

6 Grounded Model Exchange (GroMEt) Metadata schema specification __Using Swagger to Generate Class Structure__ To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure. 1. Install via the method described for your operating system [here](https://github.com/swagger-api/swagger-codegen#Prerequisites). Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below. The URL references where the yaml for this documentation is stored on github. Make sure to replace CURRENT_VERSION with the correct version. (The current version is `0.1.4`.) To generate Java classes rather, change the `-l python` to `-l java`. Change the value to the `-o` option to the desired output location. ``` swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml ``` 3. Once it executes, the client code will be generated at your specified location. For python, the classes will be located in `$OUTPUT_PATH/swagger_client/models/`. For java, they will be located in `$OUTPUT_PATH/src/main/java/io/swagger/client/model/` If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ``` # noqa: E501 

7 

8 OpenAPI spec version: 0.1.8 

9 Contact: claytonm@arizona.edu 

10 Generated by: https://github.com/swagger-api/swagger-codegen.git 

11""" 

12 

13import pprint 

14import re # noqa: F401 

15 

16import six 

17from skema.gromet.metadata.metadata import Metadata # noqa: F401,E501 

18 

19class Debug(Metadata): 

20 """NOTE: This class is auto generated by the swagger code generator program. 

21 

22 Do not edit the class manually. 

23 """ 

24 """ 

25 Attributes: 

26 swagger_types (dict): The key is attribute name 

27 and the value is attribute type. 

28 attribute_map (dict): The key is attribute name 

29 and the value is json key in definition. 

30 """ 

31 swagger_types = { 

32 'gromet_type': 'str', 

33 'debug_type': 'str', 

34 'severity': 'str', 

35 'message': 'str' 

36 } 

37 if hasattr(Metadata, "swagger_types"): 

38 swagger_types.update(Metadata.swagger_types) 

39 

40 attribute_map = { 

41 'gromet_type': 'gromet_type', 

42 'debug_type': 'debug_type', 

43 'severity': 'severity', 

44 'message': 'message' 

45 } 

46 if hasattr(Metadata, "attribute_map"): 

47 attribute_map.update(Metadata.attribute_map) 

48 

49 def __init__(self, gromet_type='Debug', debug_type=None, severity=None, message=None, *args, **kwargs): # noqa: E501 

50 """Debug - a model defined in Swagger""" # noqa: E501 

51 self._gromet_type = None 

52 self._debug_type = None 

53 self._severity = None 

54 self._message = None 

55 self.discriminator = None 

56 if gromet_type is not None: 

57 self.gromet_type = gromet_type 

58 if debug_type is not None: 

59 self.debug_type = debug_type 

60 if severity is not None: 

61 self.severity = severity 

62 if message is not None: 

63 self.message = message 

64 Metadata.__init__(self, *args, **kwargs) 

65 

66 @property 

67 def gromet_type(self): 

68 """Gets the gromet_type of this Debug. # noqa: E501 

69 

70 

71 :return: The gromet_type of this Debug. # noqa: E501 

72 :rtype: str 

73 """ 

74 return self._gromet_type 

75 

76 @gromet_type.setter 

77 def gromet_type(self, gromet_type): 

78 """Sets the gromet_type of this Debug. 

79 

80 

81 :param gromet_type: The gromet_type of this Debug. # noqa: E501 

82 :type: str 

83 """ 

84 

85 self._gromet_type = gromet_type 

86 

87 @property 

88 def debug_type(self): 

89 """Gets the debug_type of this Debug. # noqa: E501 

90 

91 Info about the debug message, e.g., system component that generated (e.g., \"CommentExtractor\", \"Code2FN\", \"MORAE\"). # noqa: E501 

92 

93 :return: The debug_type of this Debug. # noqa: E501 

94 :rtype: str 

95 """ 

96 return self._debug_type 

97 

98 @debug_type.setter 

99 def debug_type(self, debug_type): 

100 """Sets the debug_type of this Debug. 

101 

102 Info about the debug message, e.g., system component that generated (e.g., \"CommentExtractor\", \"Code2FN\", \"MORAE\"). # noqa: E501 

103 

104 :param debug_type: The debug_type of this Debug. # noqa: E501 

105 :type: str 

106 """ 

107 

108 self._debug_type = debug_type 

109 

110 @property 

111 def severity(self): 

112 """Gets the severity of this Debug. # noqa: E501 

113 

114 The severity level of the debug event, e.g.: 'Error', 'Warning', 'Notice' # noqa: E501 

115 

116 :return: The severity of this Debug. # noqa: E501 

117 :rtype: str 

118 """ 

119 return self._severity 

120 

121 @severity.setter 

122 def severity(self, severity): 

123 """Sets the severity of this Debug. 

124 

125 The severity level of the debug event, e.g.: 'Error', 'Warning', 'Notice' # noqa: E501 

126 

127 :param severity: The severity of this Debug. # noqa: E501 

128 :type: str 

129 """ 

130 

131 self._severity = severity 

132 

133 @property 

134 def message(self): 

135 """Gets the message of this Debug. # noqa: E501 

136 

137 The message payload # noqa: E501 

138 

139 :return: The message of this Debug. # noqa: E501 

140 :rtype: str 

141 """ 

142 return self._message 

143 

144 @message.setter 

145 def message(self, message): 

146 """Sets the message of this Debug. 

147 

148 The message payload # noqa: E501 

149 

150 :param message: The message of this Debug. # noqa: E501 

151 :type: str 

152 """ 

153 

154 self._message = message 

155 

156 def to_dict(self): 

157 """Returns the model properties as a dict""" 

158 result = {} 

159 

160 for attr, _ in six.iteritems(self.swagger_types): 

161 value = getattr(self, attr) 

162 if isinstance(value, list): 

163 result[attr] = list(map( 

164 lambda x: x.to_dict() if hasattr(x, "to_dict") else x, 

165 value 

166 )) 

167 elif hasattr(value, "to_dict"): 

168 result[attr] = value.to_dict() 

169 elif isinstance(value, dict): 

170 result[attr] = dict(map( 

171 lambda item: (item[0], item[1].to_dict()) 

172 if hasattr(item[1], "to_dict") else item, 

173 value.items() 

174 )) 

175 else: 

176 result[attr] = value 

177 if issubclass(Debug, dict): 

178 for key, value in self.items(): 

179 result[key] = value 

180 

181 return result 

182 

183 def to_str(self): 

184 """Returns the string representation of the model""" 

185 return pprint.pformat(self.to_dict()) 

186 

187 def __repr__(self): 

188 """For `print` and `pprint`""" 

189 return self.to_str() 

190 

191 def __eq__(self, other): 

192 """Returns true if both objects are equal""" 

193 if not isinstance(other, Debug): 

194 return False 

195 

196 return self.__dict__ == other.__dict__ 

197 

198 def __ne__(self, other): 

199 """Returns true if both objects are not equal""" 

200 return not self == other