miro_api.models.sticky_note_data
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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 import Optional, Set 23from typing_extensions import Self 24 25 26class StickyNoteData(BaseModel): 27 """ 28 Contains sticky note item data, such as the content or shape of the sticky note. 29 """ # noqa: E501 30 31 content: Optional[StrictStr] = Field( 32 default=None, description="The actual text (content) that appears in the sticky note item." 33 ) 34 shape: Optional[StrictStr] = Field( 35 default="square", 36 description="Defines the geometric shape of the sticky note and aspect ratio for its dimensions.", 37 ) 38 additional_properties: Dict[str, Any] = {} 39 __properties: ClassVar[List[str]] = ["content", "shape"] 40 41 @field_validator("shape") 42 def shape_validate_enum(cls, value): 43 """Validates the enum""" 44 if value is None: 45 return value 46 47 if value not in set(["square", "rectangle"]): 48 raise ValueError("must be one of enum values ('square', 'rectangle')") 49 return value 50 51 model_config = { 52 "populate_by_name": True, 53 "validate_assignment": True, 54 "protected_namespaces": (), 55 } 56 57 def to_str(self) -> str: 58 """Returns the string representation of the model using alias""" 59 return pprint.pformat(self.model_dump(by_alias=True)) 60 61 def to_json(self) -> str: 62 """Returns the JSON representation of the model using alias""" 63 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 64 return json.dumps(self.to_dict()) 65 66 @classmethod 67 def from_json(cls, json_str: str) -> Optional[Self]: 68 """Create an instance of StickyNoteData from a JSON string""" 69 return cls.from_dict(json.loads(json_str)) 70 71 def to_dict(self) -> Dict[str, Any]: 72 """Return the dictionary representation of the model using alias. 73 74 This has the following differences from calling pydantic's 75 `self.model_dump(by_alias=True)`: 76 77 * `None` is only added to the output dict for nullable fields that 78 were set at model initialization. Other fields with value `None` 79 are ignored. 80 * Fields in `self.additional_properties` are added to the output dict. 81 """ 82 excluded_fields: Set[str] = set( 83 [ 84 "additional_properties", 85 ] 86 ) 87 88 _dict = self.model_dump( 89 by_alias=True, 90 exclude=excluded_fields, 91 exclude_none=True, 92 ) 93 # puts key-value pairs in additional_properties in the top level 94 if self.additional_properties is not None: 95 for _key, _value in self.additional_properties.items(): 96 _dict[_key] = _value 97 98 return _dict 99 100 @classmethod 101 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 102 """Create an instance of StickyNoteData from a dict""" 103 if obj is None: 104 return None 105 106 if not isinstance(obj, dict): 107 return cls.model_validate(obj) 108 109 _obj = cls.model_validate( 110 {"content": obj.get("content"), "shape": obj.get("shape") if obj.get("shape") is not None else "square"} 111 ) 112 # store additional fields in additional_properties 113 for _key in obj.keys(): 114 if _key not in cls.__properties: 115 _obj.additional_properties[_key] = obj.get(_key) 116 117 return _obj
27class StickyNoteData(BaseModel): 28 """ 29 Contains sticky note item data, such as the content or shape of the sticky note. 30 """ # noqa: E501 31 32 content: Optional[StrictStr] = Field( 33 default=None, description="The actual text (content) that appears in the sticky note item." 34 ) 35 shape: Optional[StrictStr] = Field( 36 default="square", 37 description="Defines the geometric shape of the sticky note and aspect ratio for its dimensions.", 38 ) 39 additional_properties: Dict[str, Any] = {} 40 __properties: ClassVar[List[str]] = ["content", "shape"] 41 42 @field_validator("shape") 43 def shape_validate_enum(cls, value): 44 """Validates the enum""" 45 if value is None: 46 return value 47 48 if value not in set(["square", "rectangle"]): 49 raise ValueError("must be one of enum values ('square', 'rectangle')") 50 return value 51 52 model_config = { 53 "populate_by_name": True, 54 "validate_assignment": True, 55 "protected_namespaces": (), 56 } 57 58 def to_str(self) -> str: 59 """Returns the string representation of the model using alias""" 60 return pprint.pformat(self.model_dump(by_alias=True)) 61 62 def to_json(self) -> str: 63 """Returns the JSON representation of the model using alias""" 64 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 65 return json.dumps(self.to_dict()) 66 67 @classmethod 68 def from_json(cls, json_str: str) -> Optional[Self]: 69 """Create an instance of StickyNoteData from a JSON string""" 70 return cls.from_dict(json.loads(json_str)) 71 72 def to_dict(self) -> Dict[str, Any]: 73 """Return the dictionary representation of the model using alias. 74 75 This has the following differences from calling pydantic's 76 `self.model_dump(by_alias=True)`: 77 78 * `None` is only added to the output dict for nullable fields that 79 were set at model initialization. Other fields with value `None` 80 are ignored. 81 * Fields in `self.additional_properties` are added to the output dict. 82 """ 83 excluded_fields: Set[str] = set( 84 [ 85 "additional_properties", 86 ] 87 ) 88 89 _dict = self.model_dump( 90 by_alias=True, 91 exclude=excluded_fields, 92 exclude_none=True, 93 ) 94 # puts key-value pairs in additional_properties in the top level 95 if self.additional_properties is not None: 96 for _key, _value in self.additional_properties.items(): 97 _dict[_key] = _value 98 99 return _dict 100 101 @classmethod 102 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 103 """Create an instance of StickyNoteData from a dict""" 104 if obj is None: 105 return None 106 107 if not isinstance(obj, dict): 108 return cls.model_validate(obj) 109 110 _obj = cls.model_validate( 111 {"content": obj.get("content"), "shape": obj.get("shape") if obj.get("shape") is not None else "square"} 112 ) 113 # store additional fields in additional_properties 114 for _key in obj.keys(): 115 if _key not in cls.__properties: 116 _obj.additional_properties[_key] = obj.get(_key) 117 118 return _obj
Contains sticky note item data, such as the content or shape of the sticky note.
42 @field_validator("shape") 43 def shape_validate_enum(cls, value): 44 """Validates the enum""" 45 if value is None: 46 return value 47 48 if value not in set(["square", "rectangle"]): 49 raise ValueError("must be one of enum values ('square', 'rectangle')") 50 return value
Validates the enum
58 def to_str(self) -> str: 59 """Returns the string representation of the model using alias""" 60 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
62 def to_json(self) -> str: 63 """Returns the JSON representation of the model using alias""" 64 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 65 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
67 @classmethod 68 def from_json(cls, json_str: str) -> Optional[Self]: 69 """Create an instance of StickyNoteData from a JSON string""" 70 return cls.from_dict(json.loads(json_str))
Create an instance of StickyNoteData from a JSON string
72 def to_dict(self) -> Dict[str, Any]: 73 """Return the dictionary representation of the model using alias. 74 75 This has the following differences from calling pydantic's 76 `self.model_dump(by_alias=True)`: 77 78 * `None` is only added to the output dict for nullable fields that 79 were set at model initialization. Other fields with value `None` 80 are ignored. 81 * Fields in `self.additional_properties` are added to the output dict. 82 """ 83 excluded_fields: Set[str] = set( 84 [ 85 "additional_properties", 86 ] 87 ) 88 89 _dict = self.model_dump( 90 by_alias=True, 91 exclude=excluded_fields, 92 exclude_none=True, 93 ) 94 # puts key-value pairs in additional_properties in the top level 95 if self.additional_properties is not None: 96 for _key, _value in self.additional_properties.items(): 97 _dict[_key] = _value 98 99 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.
101 @classmethod 102 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 103 """Create an instance of StickyNoteData from a dict""" 104 if obj is None: 105 return None 106 107 if not isinstance(obj, dict): 108 return cls.model_validate(obj) 109 110 _obj = cls.model_validate( 111 {"content": obj.get("content"), "shape": obj.get("shape") if obj.get("shape") is not None else "square"} 112 ) 113 # store additional fields in additional_properties 114 for _key in obj.keys(): 115 if _key not in cls.__properties: 116 _obj.additional_properties[_key] = obj.get(_key) 117 118 return _obj
Create an instance of StickyNoteData 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