miro_api.models.mindmap_data

Miro Developer Platform

### Miro Developer Platform concepts - New to the Miro Developer Platform? Interested in learning more about platform concepts?? Read our introduction page and familiarize yourself with the Miro Developer Platform capabilities in a few minutes. ### Getting started with the Miro REST API - Quickstart (video): try the REST API in less than 3 minutes. - Quickstart (article): 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 ### Miro App Examples Clone our Miro App Examples repository to get inspiration, customize, and explore apps built on top of Miro's Developer Platform 2.0.

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
class MindmapData(pydantic.main.BaseModel):
 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.

is_root: Optional[Annotated[bool, Strict(strict=True)]]
direction: Optional[Annotated[str, Strict(strict=True)]]
additional_properties: Dict[str, Any]
@field_validator('direction')
def direction_validate_enum(cls, value):
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

model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}
def to_str(self) -> str:
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

def to_json(self) -> str:
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

@classmethod
def from_json(cls, json_str: str) -> Optional[typing_extensions.Self]:
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

def to_dict(self) -> Dict[str, Any]:
 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 value None are ignored.
  • Fields in self.additional_properties are added to the output dict.
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[typing_extensions.Self]:
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

def model_post_init(self: pydantic.main.BaseModel, __context: Any) -> None:
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.

model_fields = {'node_view': FieldInfo(annotation=Union[MindmapNodeView, NoneType], required=False, alias='nodeView', alias_priority=2), 'is_root': FieldInfo(annotation=Union[Annotated[bool, Strict(strict=True)], NoneType], required=False, alias='isRoot', alias_priority=2, description='Indicates whether this node is the root of the mind map.'), 'direction': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, 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.'), 'additional_properties': FieldInfo(annotation=Dict[str, Any], required=False, default={})}
model_computed_fields = {}
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