miro_api.models.frame_changes
Miro Developer Platform
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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, StrictBool, StrictStr, field_validator 21from typing import Any, ClassVar, Dict, List, Optional 22from typing import Optional, Set 23from typing_extensions import Self 24 25 26class FrameChanges(BaseModel): 27 """ 28 Contains frame item data, such as the title, frame type, or frame format. 29 """ # noqa: E501 30 31 format: Optional[StrictStr] = Field(default="custom", description="Only custom frames are supported at the moment.") 32 title: Optional[StrictStr] = Field( 33 default="Sample frame title", description="Title of the frame. This title appears at the top of the frame." 34 ) 35 type: Optional[StrictStr] = Field( 36 default="freeform", description="Only free form frames are supported at the moment." 37 ) 38 show_content: Optional[StrictBool] = Field( 39 default=True, 40 description="Hide or reveal the content inside a frame (Enterprise plan only).", 41 alias="showContent", 42 ) 43 additional_properties: Dict[str, Any] = {} 44 __properties: ClassVar[List[str]] = ["format", "title", "type", "showContent"] 45 46 @field_validator("format") 47 def format_validate_enum(cls, value): 48 """Validates the enum""" 49 if value is None: 50 return value 51 52 if value not in set(["custom"]): 53 raise ValueError("must be one of enum values ('custom')") 54 return value 55 56 @field_validator("type") 57 def type_validate_enum(cls, value): 58 """Validates the enum""" 59 if value is None: 60 return value 61 62 if value not in set(["freeform"]): 63 raise ValueError("must be one of enum values ('freeform')") 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 FrameChanges 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 FrameChanges 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 "format": obj.get("format") if obj.get("format") is not None else "custom", 127 "title": obj.get("title") if obj.get("title") is not None else "Sample frame title", 128 "type": obj.get("type") if obj.get("type") is not None else "freeform", 129 "showContent": obj.get("showContent") if obj.get("showContent") is not None else True, 130 } 131 ) 132 # store additional fields in additional_properties 133 for _key in obj.keys(): 134 if _key not in cls.__properties: 135 _obj.additional_properties[_key] = obj.get(_key) 136 137 return _obj
27class FrameChanges(BaseModel): 28 """ 29 Contains frame item data, such as the title, frame type, or frame format. 30 """ # noqa: E501 31 32 format: Optional[StrictStr] = Field(default="custom", description="Only custom frames are supported at the moment.") 33 title: Optional[StrictStr] = Field( 34 default="Sample frame title", description="Title of the frame. This title appears at the top of the frame." 35 ) 36 type: Optional[StrictStr] = Field( 37 default="freeform", description="Only free form frames are supported at the moment." 38 ) 39 show_content: Optional[StrictBool] = Field( 40 default=True, 41 description="Hide or reveal the content inside a frame (Enterprise plan only).", 42 alias="showContent", 43 ) 44 additional_properties: Dict[str, Any] = {} 45 __properties: ClassVar[List[str]] = ["format", "title", "type", "showContent"] 46 47 @field_validator("format") 48 def format_validate_enum(cls, value): 49 """Validates the enum""" 50 if value is None: 51 return value 52 53 if value not in set(["custom"]): 54 raise ValueError("must be one of enum values ('custom')") 55 return value 56 57 @field_validator("type") 58 def type_validate_enum(cls, value): 59 """Validates the enum""" 60 if value is None: 61 return value 62 63 if value not in set(["freeform"]): 64 raise ValueError("must be one of enum values ('freeform')") 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 FrameChanges 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 FrameChanges 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 "format": obj.get("format") if obj.get("format") is not None else "custom", 128 "title": obj.get("title") if obj.get("title") is not None else "Sample frame title", 129 "type": obj.get("type") if obj.get("type") is not None else "freeform", 130 "showContent": obj.get("showContent") if obj.get("showContent") is not None else True, 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
Contains frame item data, such as the title, frame type, or frame format.
47 @field_validator("format") 48 def format_validate_enum(cls, value): 49 """Validates the enum""" 50 if value is None: 51 return value 52 53 if value not in set(["custom"]): 54 raise ValueError("must be one of enum values ('custom')") 55 return value
Validates the enum
57 @field_validator("type") 58 def type_validate_enum(cls, value): 59 """Validates the enum""" 60 if value is None: 61 return value 62 63 if value not in set(["freeform"]): 64 raise ValueError("must be one of enum values ('freeform')") 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 FrameChanges from a JSON string""" 85 return cls.from_dict(json.loads(json_str))
Create an instance of FrameChanges 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 FrameChanges 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 "format": obj.get("format") if obj.get("format") is not None else "custom", 128 "title": obj.get("title") if obj.get("title") is not None else "Sample frame title", 129 "type": obj.get("type") if obj.get("type") is not None else "freeform", 130 "showContent": obj.get("showContent") if obj.get("showContent") is not None else True, 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
Create an instance of FrameChanges 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