miro_api.models.mindmap_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, StrictBool, StrictStr, field_validator 21from typing import Any, ClassVar, Dict, List, Optional 22from miro_api.models.mindmap_node_view import MindmapNodeView 23from typing import Optional, Set 24from typing_extensions import Self 25 26 27class MindmapData(BaseModel): 28 """ 29 Contains mind map node data, such as `nodeView` or `isRoot`. 30 """ # noqa: E501 31 32 node_view: Optional[MindmapNodeView] = Field(default=None, alias="nodeView") 33 is_root: Optional[StrictBool] = Field( 34 default=None, description="Indicates whether this node is the root of the mind map.", alias="isRoot" 35 ) 36 direction: Optional[StrictStr] = Field( 37 default=None, 38 description="Indicates where this node is positioned relative to the root node. `start` indicates that this node must be positioned at the start of the root node, which is either the left or top of the root node. `end` indicates that this node must be positioned at the emd of the root node, which is either the right or bottom of the root node.", 39 ) 40 additional_properties: Dict[str, Any] = {} 41 __properties: ClassVar[List[str]] = ["nodeView", "isRoot", "direction"] 42 43 @field_validator("direction") 44 def direction_validate_enum(cls, value): 45 """Validates the enum""" 46 if value is None: 47 return value 48 49 if value not in set(["start", "end"]): 50 raise ValueError("must be one of enum values ('start', 'end')") 51 return value 52 53 model_config = { 54 "populate_by_name": True, 55 "validate_assignment": True, 56 "protected_namespaces": (), 57 } 58 59 def to_str(self) -> str: 60 """Returns the string representation of the model using alias""" 61 return pprint.pformat(self.model_dump(by_alias=True)) 62 63 def to_json(self) -> str: 64 """Returns the JSON representation of the model using alias""" 65 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 66 return json.dumps(self.to_dict()) 67 68 @classmethod 69 def from_json(cls, json_str: str) -> Optional[Self]: 70 """Create an instance of MindmapData from a JSON string""" 71 return cls.from_dict(json.loads(json_str)) 72 73 def to_dict(self) -> Dict[str, Any]: 74 """Return the dictionary representation of the model using alias. 75 76 This has the following differences from calling pydantic's 77 `self.model_dump(by_alias=True)`: 78 79 * `None` is only added to the output dict for nullable fields that 80 were set at model initialization. Other fields with value `None` 81 are ignored. 82 * Fields in `self.additional_properties` are added to the output dict. 83 """ 84 excluded_fields: Set[str] = set( 85 [ 86 "additional_properties", 87 ] 88 ) 89 90 _dict = self.model_dump( 91 by_alias=True, 92 exclude=excluded_fields, 93 exclude_none=True, 94 ) 95 # override the default output from pydantic by calling `to_dict()` of node_view 96 if self.node_view: 97 _dict["nodeView"] = self.node_view.to_dict() 98 # puts key-value pairs in additional_properties in the top level 99 if self.additional_properties is not None: 100 for _key, _value in self.additional_properties.items(): 101 _dict[_key] = _value 102 103 return _dict 104 105 @classmethod 106 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 107 """Create an instance of MindmapData from a dict""" 108 if obj is None: 109 return None 110 111 if not isinstance(obj, dict): 112 return cls.model_validate(obj) 113 114 _obj = cls.model_validate( 115 { 116 "nodeView": MindmapNodeView.from_dict(obj["nodeView"]) if obj.get("nodeView") is not None else None, 117 "isRoot": obj.get("isRoot"), 118 "direction": obj.get("direction"), 119 } 120 ) 121 # store additional fields in additional_properties 122 for _key in obj.keys(): 123 if _key not in cls.__properties: 124 _obj.additional_properties[_key] = obj.get(_key) 125 126 return _obj
28class MindmapData(BaseModel): 29 """ 30 Contains mind map node data, such as `nodeView` or `isRoot`. 31 """ # noqa: E501 32 33 node_view: Optional[MindmapNodeView] = Field(default=None, alias="nodeView") 34 is_root: Optional[StrictBool] = Field( 35 default=None, description="Indicates whether this node is the root of the mind map.", alias="isRoot" 36 ) 37 direction: Optional[StrictStr] = Field( 38 default=None, 39 description="Indicates where this node is positioned relative to the root node. `start` indicates that this node must be positioned at the start of the root node, which is either the left or top of the root node. `end` indicates that this node must be positioned at the emd of the root node, which is either the right or bottom of the root node.", 40 ) 41 additional_properties: Dict[str, Any] = {} 42 __properties: ClassVar[List[str]] = ["nodeView", "isRoot", "direction"] 43 44 @field_validator("direction") 45 def direction_validate_enum(cls, value): 46 """Validates the enum""" 47 if value is None: 48 return value 49 50 if value not in set(["start", "end"]): 51 raise ValueError("must be one of enum values ('start', 'end')") 52 return value 53 54 model_config = { 55 "populate_by_name": True, 56 "validate_assignment": True, 57 "protected_namespaces": (), 58 } 59 60 def to_str(self) -> str: 61 """Returns the string representation of the model using alias""" 62 return pprint.pformat(self.model_dump(by_alias=True)) 63 64 def to_json(self) -> str: 65 """Returns the JSON representation of the model using alias""" 66 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 67 return json.dumps(self.to_dict()) 68 69 @classmethod 70 def from_json(cls, json_str: str) -> Optional[Self]: 71 """Create an instance of MindmapData from a JSON string""" 72 return cls.from_dict(json.loads(json_str)) 73 74 def to_dict(self) -> Dict[str, Any]: 75 """Return the dictionary representation of the model using alias. 76 77 This has the following differences from calling pydantic's 78 `self.model_dump(by_alias=True)`: 79 80 * `None` is only added to the output dict for nullable fields that 81 were set at model initialization. Other fields with value `None` 82 are ignored. 83 * Fields in `self.additional_properties` are added to the output dict. 84 """ 85 excluded_fields: Set[str] = set( 86 [ 87 "additional_properties", 88 ] 89 ) 90 91 _dict = self.model_dump( 92 by_alias=True, 93 exclude=excluded_fields, 94 exclude_none=True, 95 ) 96 # override the default output from pydantic by calling `to_dict()` of node_view 97 if self.node_view: 98 _dict["nodeView"] = self.node_view.to_dict() 99 # puts key-value pairs in additional_properties in the top level 100 if self.additional_properties is not None: 101 for _key, _value in self.additional_properties.items(): 102 _dict[_key] = _value 103 104 return _dict 105 106 @classmethod 107 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 108 """Create an instance of MindmapData from a dict""" 109 if obj is None: 110 return None 111 112 if not isinstance(obj, dict): 113 return cls.model_validate(obj) 114 115 _obj = cls.model_validate( 116 { 117 "nodeView": MindmapNodeView.from_dict(obj["nodeView"]) if obj.get("nodeView") is not None else None, 118 "isRoot": obj.get("isRoot"), 119 "direction": obj.get("direction"), 120 } 121 ) 122 # store additional fields in additional_properties 123 for _key in obj.keys(): 124 if _key not in cls.__properties: 125 _obj.additional_properties[_key] = obj.get(_key) 126 127 return _obj
Contains mind map node data, such as nodeView
or isRoot
.
44 @field_validator("direction") 45 def direction_validate_enum(cls, value): 46 """Validates the enum""" 47 if value is None: 48 return value 49 50 if value not in set(["start", "end"]): 51 raise ValueError("must be one of enum values ('start', 'end')") 52 return value
Validates the enum
60 def to_str(self) -> str: 61 """Returns the string representation of the model using alias""" 62 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
64 def to_json(self) -> str: 65 """Returns the JSON representation of the model using alias""" 66 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 67 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
69 @classmethod 70 def from_json(cls, json_str: str) -> Optional[Self]: 71 """Create an instance of MindmapData from a JSON string""" 72 return cls.from_dict(json.loads(json_str))
Create an instance of MindmapData from a JSON string
74 def to_dict(self) -> Dict[str, Any]: 75 """Return the dictionary representation of the model using alias. 76 77 This has the following differences from calling pydantic's 78 `self.model_dump(by_alias=True)`: 79 80 * `None` is only added to the output dict for nullable fields that 81 were set at model initialization. Other fields with value `None` 82 are ignored. 83 * Fields in `self.additional_properties` are added to the output dict. 84 """ 85 excluded_fields: Set[str] = set( 86 [ 87 "additional_properties", 88 ] 89 ) 90 91 _dict = self.model_dump( 92 by_alias=True, 93 exclude=excluded_fields, 94 exclude_none=True, 95 ) 96 # override the default output from pydantic by calling `to_dict()` of node_view 97 if self.node_view: 98 _dict["nodeView"] = self.node_view.to_dict() 99 # puts key-value pairs in additional_properties in the top level 100 if self.additional_properties is not None: 101 for _key, _value in self.additional_properties.items(): 102 _dict[_key] = _value 103 104 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.
106 @classmethod 107 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 108 """Create an instance of MindmapData from a dict""" 109 if obj is None: 110 return None 111 112 if not isinstance(obj, dict): 113 return cls.model_validate(obj) 114 115 _obj = cls.model_validate( 116 { 117 "nodeView": MindmapNodeView.from_dict(obj["nodeView"]) if obj.get("nodeView") is not None else None, 118 "isRoot": obj.get("isRoot"), 119 "direction": obj.get("direction"), 120 } 121 ) 122 # store additional fields in additional_properties 123 for _key in obj.keys(): 124 if _key not in cls.__properties: 125 _obj.additional_properties[_key] = obj.get(_key) 126 127 return _obj
Create an instance of MindmapData 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