miro_api.models.tag_update_request
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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 14 15from __future__ import annotations 16import pprint 17import re # noqa: F401 18import json 19 20from pydantic import BaseModel, Field, StrictStr, field_validator 21from typing import Any, ClassVar, Dict, List, Optional 22from typing_extensions import Annotated 23from typing import Optional, Set 24from typing_extensions import Self 25 26 27class TagUpdateRequest(BaseModel): 28 """ 29 TagUpdateRequest 30 """ # noqa: E501 31 32 fill_color: Optional[StrictStr] = Field(default=None, description="Fill color for the tag.", alias="fillColor") 33 title: Optional[Annotated[str, Field(min_length=0, strict=True, max_length=120)]] = Field( 34 default=None, description="Text of the tag. Case-sensitive. Must be unique." 35 ) 36 additional_properties: Dict[str, Any] = {} 37 __properties: ClassVar[List[str]] = ["fillColor", "title"] 38 39 @field_validator("fill_color") 40 def fill_color_validate_enum(cls, value): 41 """Validates the enum""" 42 if value is None: 43 return value 44 45 if value not in set( 46 [ 47 "red", 48 "light_green", 49 "cyan", 50 "yellow", 51 "magenta", 52 "green", 53 "blue", 54 "gray", 55 "violet", 56 "dark_green", 57 "dark_blue", 58 "black", 59 ] 60 ): 61 raise ValueError( 62 "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')" 63 ) 64 return value 65 66 model_config = { 67 "populate_by_name": True, 68 "validate_assignment": True, 69 "protected_namespaces": (), 70 } 71 72 def to_str(self) -> str: 73 """Returns the string representation of the model using alias""" 74 return pprint.pformat(self.model_dump(by_alias=True)) 75 76 def to_json(self) -> str: 77 """Returns the JSON representation of the model using alias""" 78 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 79 return json.dumps(self.to_dict()) 80 81 @classmethod 82 def from_json(cls, json_str: str) -> Optional[Self]: 83 """Create an instance of TagUpdateRequest from a JSON string""" 84 return cls.from_dict(json.loads(json_str)) 85 86 def to_dict(self) -> Dict[str, Any]: 87 """Return the dictionary representation of the model using alias. 88 89 This has the following differences from calling pydantic's 90 `self.model_dump(by_alias=True)`: 91 92 * `None` is only added to the output dict for nullable fields that 93 were set at model initialization. Other fields with value `None` 94 are ignored. 95 * Fields in `self.additional_properties` are added to the output dict. 96 """ 97 excluded_fields: Set[str] = set( 98 [ 99 "additional_properties", 100 ] 101 ) 102 103 _dict = self.model_dump( 104 by_alias=True, 105 exclude=excluded_fields, 106 exclude_none=True, 107 ) 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 TagUpdateRequest 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({"fillColor": obj.get("fillColor"), "title": obj.get("title")}) 125 # store additional fields in additional_properties 126 for _key in obj.keys(): 127 if _key not in cls.__properties: 128 _obj.additional_properties[_key] = obj.get(_key) 129 130 return _obj
28class TagUpdateRequest(BaseModel): 29 """ 30 TagUpdateRequest 31 """ # noqa: E501 32 33 fill_color: Optional[StrictStr] = Field(default=None, description="Fill color for the tag.", alias="fillColor") 34 title: Optional[Annotated[str, Field(min_length=0, strict=True, max_length=120)]] = Field( 35 default=None, description="Text of the tag. Case-sensitive. Must be unique." 36 ) 37 additional_properties: Dict[str, Any] = {} 38 __properties: ClassVar[List[str]] = ["fillColor", "title"] 39 40 @field_validator("fill_color") 41 def fill_color_validate_enum(cls, value): 42 """Validates the enum""" 43 if value is None: 44 return value 45 46 if value not in set( 47 [ 48 "red", 49 "light_green", 50 "cyan", 51 "yellow", 52 "magenta", 53 "green", 54 "blue", 55 "gray", 56 "violet", 57 "dark_green", 58 "dark_blue", 59 "black", 60 ] 61 ): 62 raise ValueError( 63 "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')" 64 ) 65 return value 66 67 model_config = { 68 "populate_by_name": True, 69 "validate_assignment": True, 70 "protected_namespaces": (), 71 } 72 73 def to_str(self) -> str: 74 """Returns the string representation of the model using alias""" 75 return pprint.pformat(self.model_dump(by_alias=True)) 76 77 def to_json(self) -> str: 78 """Returns the JSON representation of the model using alias""" 79 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 80 return json.dumps(self.to_dict()) 81 82 @classmethod 83 def from_json(cls, json_str: str) -> Optional[Self]: 84 """Create an instance of TagUpdateRequest from a JSON string""" 85 return cls.from_dict(json.loads(json_str)) 86 87 def to_dict(self) -> Dict[str, Any]: 88 """Return the dictionary representation of the model using alias. 89 90 This has the following differences from calling pydantic's 91 `self.model_dump(by_alias=True)`: 92 93 * `None` is only added to the output dict for nullable fields that 94 were set at model initialization. Other fields with value `None` 95 are ignored. 96 * Fields in `self.additional_properties` are added to the output dict. 97 """ 98 excluded_fields: Set[str] = set( 99 [ 100 "additional_properties", 101 ] 102 ) 103 104 _dict = self.model_dump( 105 by_alias=True, 106 exclude=excluded_fields, 107 exclude_none=True, 108 ) 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 TagUpdateRequest 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({"fillColor": obj.get("fillColor"), "title": obj.get("title")}) 126 # store additional fields in additional_properties 127 for _key in obj.keys(): 128 if _key not in cls.__properties: 129 _obj.additional_properties[_key] = obj.get(_key) 130 131 return _obj
TagUpdateRequest
40 @field_validator("fill_color") 41 def fill_color_validate_enum(cls, value): 42 """Validates the enum""" 43 if value is None: 44 return value 45 46 if value not in set( 47 [ 48 "red", 49 "light_green", 50 "cyan", 51 "yellow", 52 "magenta", 53 "green", 54 "blue", 55 "gray", 56 "violet", 57 "dark_green", 58 "dark_blue", 59 "black", 60 ] 61 ): 62 raise ValueError( 63 "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')" 64 ) 65 return value
Validates the enum
73 def to_str(self) -> str: 74 """Returns the string representation of the model using alias""" 75 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
77 def to_json(self) -> str: 78 """Returns the JSON representation of the model using alias""" 79 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 80 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
82 @classmethod 83 def from_json(cls, json_str: str) -> Optional[Self]: 84 """Create an instance of TagUpdateRequest from a JSON string""" 85 return cls.from_dict(json.loads(json_str))
Create an instance of TagUpdateRequest from a JSON string
87 def to_dict(self) -> Dict[str, Any]: 88 """Return the dictionary representation of the model using alias. 89 90 This has the following differences from calling pydantic's 91 `self.model_dump(by_alias=True)`: 92 93 * `None` is only added to the output dict for nullable fields that 94 were set at model initialization. Other fields with value `None` 95 are ignored. 96 * Fields in `self.additional_properties` are added to the output dict. 97 """ 98 excluded_fields: Set[str] = set( 99 [ 100 "additional_properties", 101 ] 102 ) 103 104 _dict = self.model_dump( 105 by_alias=True, 106 exclude=excluded_fields, 107 exclude_none=True, 108 ) 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)
:
None
is only added to the output dict for nullable fields that were set at model initialization. Other fields with valueNone
are ignored.- Fields in
self.additional_properties
are added to the output dict.
116 @classmethod 117 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 118 """Create an instance of TagUpdateRequest 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({"fillColor": obj.get("fillColor"), "title": obj.get("title")}) 126 # store additional fields in additional_properties 127 for _key in obj.keys(): 128 if _key not in cls.__properties: 129 _obj.additional_properties[_key] = obj.get(_key) 130 131 return _obj
Create an instance of TagUpdateRequest 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