miro_api.models.tag_with_links
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The version of the OpenAPI document: v2.0 Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
1# coding: utf-8 2 3""" 4Miro Developer Platform 5 6<img src=\"https://content.pstmn.io/47449ea6-0ef7-4af2-bac1-e58a70e61c58/aW1hZ2UucG5n\" width=\"1685\" height=\"593\"> ### Miro Developer Platform concepts - New to the Miro Developer Platform? Interested in learning more about platform concepts?? [Read our introduction page](https://beta.developers.miro.com/docs/introduction) and familiarize yourself with the Miro Developer Platform capabilities in a few minutes. ### Getting started with the Miro REST API - [Quickstart (video):](https://beta.developers.miro.com/docs/try-out-the-rest-api-in-less-than-3-minutes) try the REST API in less than 3 minutes. - [Quickstart (article):](https://beta.developers.miro.com/docs/build-your-first-hello-world-app-1) get started and try the REST API in less than 3 minutes. ### Miro REST API tutorials Check out our how-to articles with step-by-step instructions and code examples so you can: - [Get started with OAuth 2.0 and Miro](https://beta.developers.miro.com/docs/getting-started-with-oauth) ### Miro App Examples Clone our [Miro App Examples repository](https://github.com/miroapp/app-examples) to get inspiration, customize, and explore apps built on top of Miro's Developer Platform 2.0. 7 8The version of the OpenAPI document: v2.0 9Generated by OpenAPI Generator (https://openapi-generator.tech) 10 11Do not edit the class manually. 12""" # noqa: E501 13 14from __future__ import annotations 15import pprint 16import re # noqa: F401 17import json 18 19from pydantic import BaseModel, Field, StrictStr, field_validator 20from typing import Any, ClassVar, Dict, List, Optional 21from miro_api.models.self_link import SelfLink 22from typing import Optional, Set 23from typing_extensions import Self 24 25 26class TagWithLinks(BaseModel): 27 """ 28 TagWithLinks 29 """ # noqa: E501 30 31 id: StrictStr = Field(description="Unique identifier of the tag.") 32 title: StrictStr = Field(description="Text of the tag") 33 fill_color: StrictStr = Field(description="Background color of the tag.", alias="fillColor") 34 links: Optional[SelfLink] = None 35 type: StrictStr = Field(description="Type of the object that is returned. In this case, type returns `tag`.") 36 additional_properties: Dict[str, Any] = {} 37 __properties: ClassVar[List[str]] = ["id", "title", "fillColor", "links", "type"] 38 39 @field_validator("fill_color") 40 def fill_color_validate_enum(cls, value): 41 """Validates the enum""" 42 if value not in set( 43 [ 44 "red", 45 "light_green", 46 "cyan", 47 "yellow", 48 "magenta", 49 "green", 50 "blue", 51 "gray", 52 "violet", 53 "dark_green", 54 "dark_blue", 55 "black", 56 ] 57 ): 58 raise ValueError( 59 "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')" 60 ) 61 return value 62 63 model_config = { 64 "populate_by_name": True, 65 "validate_assignment": True, 66 "protected_namespaces": (), 67 } 68 69 def to_str(self) -> str: 70 """Returns the string representation of the model using alias""" 71 return pprint.pformat(self.model_dump(by_alias=True)) 72 73 def to_json(self) -> str: 74 """Returns the JSON representation of the model using alias""" 75 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 76 return json.dumps(self.to_dict()) 77 78 @classmethod 79 def from_json(cls, json_str: str) -> Optional[Self]: 80 """Create an instance of TagWithLinks from a JSON string""" 81 return cls.from_dict(json.loads(json_str)) 82 83 def to_dict(self) -> Dict[str, Any]: 84 """Return the dictionary representation of the model using alias. 85 86 This has the following differences from calling pydantic's 87 `self.model_dump(by_alias=True)`: 88 89 * `None` is only added to the output dict for nullable fields that 90 were set at model initialization. Other fields with value `None` 91 are ignored. 92 * Fields in `self.additional_properties` are added to the output dict. 93 """ 94 excluded_fields: Set[str] = set( 95 [ 96 "additional_properties", 97 ] 98 ) 99 100 _dict = self.model_dump( 101 by_alias=True, 102 exclude=excluded_fields, 103 exclude_none=True, 104 ) 105 # override the default output from pydantic by calling `to_dict()` of links 106 if self.links: 107 _dict["links"] = self.links.to_dict() 108 # puts key-value pairs in additional_properties in the top level 109 if self.additional_properties is not None: 110 for _key, _value in self.additional_properties.items(): 111 _dict[_key] = _value 112 113 return _dict 114 115 @classmethod 116 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 117 """Create an instance of TagWithLinks from a dict""" 118 if obj is None: 119 return None 120 121 if not isinstance(obj, dict): 122 return cls.model_validate(obj) 123 124 _obj = cls.model_validate( 125 { 126 "id": obj.get("id"), 127 "title": obj.get("title"), 128 "fillColor": obj.get("fillColor"), 129 "links": SelfLink.from_dict(obj["links"]) if obj.get("links") is not None else None, 130 "type": obj.get("type"), 131 } 132 ) 133 # store additional fields in additional_properties 134 for _key in obj.keys(): 135 if _key not in cls.__properties: 136 _obj.additional_properties[_key] = obj.get(_key) 137 138 return _obj
27class TagWithLinks(BaseModel): 28 """ 29 TagWithLinks 30 """ # noqa: E501 31 32 id: StrictStr = Field(description="Unique identifier of the tag.") 33 title: StrictStr = Field(description="Text of the tag") 34 fill_color: StrictStr = Field(description="Background color of the tag.", alias="fillColor") 35 links: Optional[SelfLink] = None 36 type: StrictStr = Field(description="Type of the object that is returned. In this case, type returns `tag`.") 37 additional_properties: Dict[str, Any] = {} 38 __properties: ClassVar[List[str]] = ["id", "title", "fillColor", "links", "type"] 39 40 @field_validator("fill_color") 41 def fill_color_validate_enum(cls, value): 42 """Validates the enum""" 43 if value not in set( 44 [ 45 "red", 46 "light_green", 47 "cyan", 48 "yellow", 49 "magenta", 50 "green", 51 "blue", 52 "gray", 53 "violet", 54 "dark_green", 55 "dark_blue", 56 "black", 57 ] 58 ): 59 raise ValueError( 60 "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')" 61 ) 62 return value 63 64 model_config = { 65 "populate_by_name": True, 66 "validate_assignment": True, 67 "protected_namespaces": (), 68 } 69 70 def to_str(self) -> str: 71 """Returns the string representation of the model using alias""" 72 return pprint.pformat(self.model_dump(by_alias=True)) 73 74 def to_json(self) -> str: 75 """Returns the JSON representation of the model using alias""" 76 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 77 return json.dumps(self.to_dict()) 78 79 @classmethod 80 def from_json(cls, json_str: str) -> Optional[Self]: 81 """Create an instance of TagWithLinks from a JSON string""" 82 return cls.from_dict(json.loads(json_str)) 83 84 def to_dict(self) -> Dict[str, Any]: 85 """Return the dictionary representation of the model using alias. 86 87 This has the following differences from calling pydantic's 88 `self.model_dump(by_alias=True)`: 89 90 * `None` is only added to the output dict for nullable fields that 91 were set at model initialization. Other fields with value `None` 92 are ignored. 93 * Fields in `self.additional_properties` are added to the output dict. 94 """ 95 excluded_fields: Set[str] = set( 96 [ 97 "additional_properties", 98 ] 99 ) 100 101 _dict = self.model_dump( 102 by_alias=True, 103 exclude=excluded_fields, 104 exclude_none=True, 105 ) 106 # override the default output from pydantic by calling `to_dict()` of links 107 if self.links: 108 _dict["links"] = self.links.to_dict() 109 # puts key-value pairs in additional_properties in the top level 110 if self.additional_properties is not None: 111 for _key, _value in self.additional_properties.items(): 112 _dict[_key] = _value 113 114 return _dict 115 116 @classmethod 117 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 118 """Create an instance of TagWithLinks from a dict""" 119 if obj is None: 120 return None 121 122 if not isinstance(obj, dict): 123 return cls.model_validate(obj) 124 125 _obj = cls.model_validate( 126 { 127 "id": obj.get("id"), 128 "title": obj.get("title"), 129 "fillColor": obj.get("fillColor"), 130 "links": SelfLink.from_dict(obj["links"]) if obj.get("links") is not None else None, 131 "type": obj.get("type"), 132 } 133 ) 134 # store additional fields in additional_properties 135 for _key in obj.keys(): 136 if _key not in cls.__properties: 137 _obj.additional_properties[_key] = obj.get(_key) 138 139 return _obj
TagWithLinks
40 @field_validator("fill_color") 41 def fill_color_validate_enum(cls, value): 42 """Validates the enum""" 43 if value not in set( 44 [ 45 "red", 46 "light_green", 47 "cyan", 48 "yellow", 49 "magenta", 50 "green", 51 "blue", 52 "gray", 53 "violet", 54 "dark_green", 55 "dark_blue", 56 "black", 57 ] 58 ): 59 raise ValueError( 60 "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')" 61 ) 62 return value
Validates the enum
70 def to_str(self) -> str: 71 """Returns the string representation of the model using alias""" 72 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
74 def to_json(self) -> str: 75 """Returns the JSON representation of the model using alias""" 76 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 77 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
79 @classmethod 80 def from_json(cls, json_str: str) -> Optional[Self]: 81 """Create an instance of TagWithLinks from a JSON string""" 82 return cls.from_dict(json.loads(json_str))
Create an instance of TagWithLinks from a JSON string
84 def to_dict(self) -> Dict[str, Any]: 85 """Return the dictionary representation of the model using alias. 86 87 This has the following differences from calling pydantic's 88 `self.model_dump(by_alias=True)`: 89 90 * `None` is only added to the output dict for nullable fields that 91 were set at model initialization. Other fields with value `None` 92 are ignored. 93 * Fields in `self.additional_properties` are added to the output dict. 94 """ 95 excluded_fields: Set[str] = set( 96 [ 97 "additional_properties", 98 ] 99 ) 100 101 _dict = self.model_dump( 102 by_alias=True, 103 exclude=excluded_fields, 104 exclude_none=True, 105 ) 106 # override the default output from pydantic by calling `to_dict()` of links 107 if self.links: 108 _dict["links"] = self.links.to_dict() 109 # puts key-value pairs in additional_properties in the top level 110 if self.additional_properties is not None: 111 for _key, _value in self.additional_properties.items(): 112 _dict[_key] = _value 113 114 return _dict
Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
self.model_dump(by_alias=True):
Noneis only added to the output dict for nullable fields that were set at model initialization. Other fields with valueNoneare ignored.- Fields in
self.additional_propertiesare added to the output dict.
116 @classmethod 117 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 118 """Create an instance of TagWithLinks from a dict""" 119 if obj is None: 120 return None 121 122 if not isinstance(obj, dict): 123 return cls.model_validate(obj) 124 125 _obj = cls.model_validate( 126 { 127 "id": obj.get("id"), 128 "title": obj.get("title"), 129 "fillColor": obj.get("fillColor"), 130 "links": SelfLink.from_dict(obj["links"]) if obj.get("links") is not None else None, 131 "type": obj.get("type"), 132 } 133 ) 134 # store additional fields in additional_properties 135 for _key in obj.keys(): 136 if _key not in cls.__properties: 137 _obj.additional_properties[_key] = obj.get(_key) 138 139 return _obj
Create an instance of TagWithLinks from a dict
265def init_private_attributes(self: BaseModel, __context: Any) -> None: 266 """This function is meant to behave like a BaseModel method to initialise private attributes. 267 268 It takes context as an argument since that's what pydantic-core passes when calling it. 269 270 Args: 271 self: The BaseModel instance. 272 __context: The context. 273 """ 274 if getattr(self, '__pydantic_private__', None) is None: 275 pydantic_private = {} 276 for name, private_attr in self.__private_attributes__.items(): 277 default = private_attr.get_default() 278 if default is not PydanticUndefined: 279 pydantic_private[name] = default 280 object_setattr(self, '__pydantic_private__', pydantic_private)
This function is meant to behave like a BaseModel method to initialise private attributes.
It takes context as an argument since that's what pydantic-core passes when calling it.
Args: self: The BaseModel instance. __context: The context.
Inherited Members
- pydantic.main.BaseModel
- BaseModel
- model_extra
- model_fields_set
- model_construct
- model_copy
- model_dump
- model_dump_json
- model_json_schema
- model_parametrized_name
- model_rebuild
- model_validate
- model_validate_json
- model_validate_strings
- dict
- json
- parse_obj
- parse_raw
- parse_file
- from_orm
- construct
- copy
- schema
- schema_json
- validate
- update_forward_refs