miro_api.models.mindmap_node_view

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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.

View Source

  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
 14from __future__ import annotations
 15import pprint
 16import re  # noqa: F401
 17import json
 18
 19from pydantic import BaseModel, Field, StrictStr
 20from typing import Any, ClassVar, Dict, List, Optional
 21from miro_api.models.mindmap_node_style import MindmapNodeStyle
 22from miro_api.models.mindmap_widget_data_output import MindmapWidgetDataOutput
 23from typing import Optional, Set
 24from typing_extensions import Self
 25
 26
 27class MindmapNodeView(BaseModel):
 28    """
 29    Contains the information about the mind map node.
 30    """  # noqa: E501
 31
 32    type: Optional[StrictStr] = Field(
 33        default=None, description="Type of item used as mind map node. Currently, `type` can only be equal to `text`."
 34    )
 35    data: Optional[MindmapWidgetDataOutput] = None
 36    style: Optional[MindmapNodeStyle] = None
 37    additional_properties: Dict[str, Any] = {}
 38    __properties: ClassVar[List[str]] = ["type", "data", "style"]
 39
 40    model_config = {
 41        "populate_by_name": True,
 42        "validate_assignment": True,
 43        "protected_namespaces": (),
 44    }
 45
 46    def to_str(self) -> str:
 47        """Returns the string representation of the model using alias"""
 48        return pprint.pformat(self.model_dump(by_alias=True))
 49
 50    def to_json(self) -> str:
 51        """Returns the JSON representation of the model using alias"""
 52        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 53        return json.dumps(self.to_dict())
 54
 55    @classmethod
 56    def from_json(cls, json_str: str) -> Optional[Self]:
 57        """Create an instance of MindmapNodeView from a JSON string"""
 58        return cls.from_dict(json.loads(json_str))
 59
 60    def to_dict(self) -> Dict[str, Any]:
 61        """Return the dictionary representation of the model using alias.
 62
 63        This has the following differences from calling pydantic's
 64        `self.model_dump(by_alias=True)`:
 65
 66        * `None` is only added to the output dict for nullable fields that
 67          were set at model initialization. Other fields with value `None`
 68          are ignored.
 69        * Fields in `self.additional_properties` are added to the output dict.
 70        """
 71        excluded_fields: Set[str] = set(
 72            [
 73                "additional_properties",
 74            ]
 75        )
 76
 77        _dict = self.model_dump(
 78            by_alias=True,
 79            exclude=excluded_fields,
 80            exclude_none=True,
 81        )
 82        # override the default output from pydantic by calling `to_dict()` of data
 83        if self.data:
 84            _dict["data"] = self.data.to_dict()
 85        # override the default output from pydantic by calling `to_dict()` of style
 86        if self.style:
 87            _dict["style"] = self.style.to_dict()
 88        # puts key-value pairs in additional_properties in the top level
 89        if self.additional_properties is not None:
 90            for _key, _value in self.additional_properties.items():
 91                _dict[_key] = _value
 92
 93        return _dict
 94
 95    @classmethod
 96    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 97        """Create an instance of MindmapNodeView from a dict"""
 98        if obj is None:
 99            return None
100
101        if not isinstance(obj, dict):
102            return cls.model_validate(obj)
103
104        _obj = cls.model_validate(
105            {
106                "type": obj.get("type"),
107                "data": MindmapWidgetDataOutput.from_dict(obj["data"]) if obj.get("data") is not None else None,
108                "style": MindmapNodeStyle.from_dict(obj["style"]) if obj.get("style") is not None else None,
109            }
110        )
111        # store additional fields in additional_properties
112        for _key in obj.keys():
113            if _key not in cls.__properties:
114                _obj.additional_properties[_key] = obj.get(_key)
115
116        return _obj

class MindmapNodeView(pydantic.main.BaseModel): View Source

 28class MindmapNodeView(BaseModel):
 29    """
 30    Contains the information about the mind map node.
 31    """  # noqa: E501
 32
 33    type: Optional[StrictStr] = Field(
 34        default=None, description="Type of item used as mind map node. Currently, `type` can only be equal to `text`."
 35    )
 36    data: Optional[MindmapWidgetDataOutput] = None
 37    style: Optional[MindmapNodeStyle] = None
 38    additional_properties: Dict[str, Any] = {}
 39    __properties: ClassVar[List[str]] = ["type", "data", "style"]
 40
 41    model_config = {
 42        "populate_by_name": True,
 43        "validate_assignment": True,
 44        "protected_namespaces": (),
 45    }
 46
 47    def to_str(self) -> str:
 48        """Returns the string representation of the model using alias"""
 49        return pprint.pformat(self.model_dump(by_alias=True))
 50
 51    def to_json(self) -> str:
 52        """Returns the JSON representation of the model using alias"""
 53        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 54        return json.dumps(self.to_dict())
 55
 56    @classmethod
 57    def from_json(cls, json_str: str) -> Optional[Self]:
 58        """Create an instance of MindmapNodeView from a JSON string"""
 59        return cls.from_dict(json.loads(json_str))
 60
 61    def to_dict(self) -> Dict[str, Any]:
 62        """Return the dictionary representation of the model using alias.
 63
 64        This has the following differences from calling pydantic's
 65        `self.model_dump(by_alias=True)`:
 66
 67        * `None` is only added to the output dict for nullable fields that
 68          were set at model initialization. Other fields with value `None`
 69          are ignored.
 70        * Fields in `self.additional_properties` are added to the output dict.
 71        """
 72        excluded_fields: Set[str] = set(
 73            [
 74                "additional_properties",
 75            ]
 76        )
 77
 78        _dict = self.model_dump(
 79            by_alias=True,
 80            exclude=excluded_fields,
 81            exclude_none=True,
 82        )
 83        # override the default output from pydantic by calling `to_dict()` of data
 84        if self.data:
 85            _dict["data"] = self.data.to_dict()
 86        # override the default output from pydantic by calling `to_dict()` of style
 87        if self.style:
 88            _dict["style"] = self.style.to_dict()
 89        # puts key-value pairs in additional_properties in the top level
 90        if self.additional_properties is not None:
 91            for _key, _value in self.additional_properties.items():
 92                _dict[_key] = _value
 93
 94        return _dict
 95
 96    @classmethod
 97    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 98        """Create an instance of MindmapNodeView from a dict"""
 99        if obj is None:
100            return None
101
102        if not isinstance(obj, dict):
103            return cls.model_validate(obj)
104
105        _obj = cls.model_validate(
106            {
107                "type": obj.get("type"),
108                "data": MindmapWidgetDataOutput.from_dict(obj["data"]) if obj.get("data") is not None else None,
109                "style": MindmapNodeStyle.from_dict(obj["style"]) if obj.get("style") is not None else None,
110            }
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

Contains the information about the mind map node.

type: Optional[Annotated[str, Strict(strict=True)]]

data: Optional[miro_api.models.mindmap_widget_data_output.MindmapWidgetDataOutput]

style: Optional[miro_api.models.mindmap_node_style.MindmapNodeStyle]

additional_properties: Dict[str, Any]

model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}

def to_str(self) -> str: View Source

47    def to_str(self) -> str:
48        """Returns the string representation of the model using alias"""
49        return pprint.pformat(self.model_dump(by_alias=True))

Returns the string representation of the model using alias

def to_json(self) -> str: View Source

51    def to_json(self) -> str:
52        """Returns the JSON representation of the model using alias"""
53        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
54        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]: View Source

56    @classmethod
57    def from_json(cls, json_str: str) -> Optional[Self]:
58        """Create an instance of MindmapNodeView from a JSON string"""
59        return cls.from_dict(json.loads(json_str))

Create an instance of MindmapNodeView from a JSON string

def to_dict(self) -> Dict[str, Any]: View Source

61    def to_dict(self) -> Dict[str, Any]:
62        """Return the dictionary representation of the model using alias.
63
64        This has the following differences from calling pydantic's
65        `self.model_dump(by_alias=True)`:
66
67        * `None` is only added to the output dict for nullable fields that
68          were set at model initialization. Other fields with value `None`
69          are ignored.
70        * Fields in `self.additional_properties` are added to the output dict.
71        """
72        excluded_fields: Set[str] = set(
73            [
74                "additional_properties",
75            ]
76        )
77
78        _dict = self.model_dump(
79            by_alias=True,
80            exclude=excluded_fields,
81            exclude_none=True,
82        )
83        # override the default output from pydantic by calling `to_dict()` of data
84        if self.data:
85            _dict["data"] = self.data.to_dict()
86        # override the default output from pydantic by calling `to_dict()` of style
87        if self.style:
88            _dict["style"] = self.style.to_dict()
89        # puts key-value pairs in additional_properties in the top level
90        if self.additional_properties is not None:
91            for _key, _value in self.additional_properties.items():
92                _dict[_key] = _value
93
94        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]: View Source

 96    @classmethod
 97    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 98        """Create an instance of MindmapNodeView from a dict"""
 99        if obj is None:
100            return None
101
102        if not isinstance(obj, dict):
103            return cls.model_validate(obj)
104
105        _obj = cls.model_validate(
106            {
107                "type": obj.get("type"),
108                "data": MindmapWidgetDataOutput.from_dict(obj["data"]) if obj.get("data") is not None else None,
109                "style": MindmapNodeStyle.from_dict(obj["style"]) if obj.get("style") is not None else None,
110            }
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

Create an instance of MindmapNodeView from a dict

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

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 = {'type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Type of item used as mind map node. Currently, `type` can only be equal to `text`.'), 'data': FieldInfo(annotation=Union[MindmapWidgetDataOutput, NoneType], required=False), 'style': FieldInfo(annotation=Union[MindmapNodeStyle, NoneType], required=False), '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