miro_api.models.mindmap_style

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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, field_validator
 20from typing import Any, ClassVar, Dict, List, Optional
 21from typing_extensions import Annotated
 22from typing import Optional, Set
 23from typing_extensions import Self
 24
 25
 26class MindmapStyle(BaseModel):
 27    """
 28    Contains information about the node style, such as the widget's border color or shape type.
 29    """  # noqa: E501
 30
 31    node_color: Optional[StrictStr] = Field(
 32        default=None, description="Hex value representing the color of the widget's border.", alias="nodeColor"
 33    )
 34    shape: Optional[StrictStr] = Field(default=None, description="Shape type of the widget.")
 35    font_size: Optional[Annotated[str, Field(strict=True)]] = Field(
 36        default=None, description="The same font size as in MindmapNodeStyle.", alias="fontSize"
 37    )
 38    additional_properties: Dict[str, Any] = {}
 39    __properties: ClassVar[List[str]] = ["nodeColor", "shape", "fontSize"]
 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(["pill", "rectangle", "rounded_rectangle", "none"]):
 48            raise ValueError("must be one of enum values ('pill', 'rectangle', 'rounded_rectangle', 'none')")
 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 MindmapStyle 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 MindmapStyle 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            {"nodeColor": obj.get("nodeColor"), "shape": obj.get("shape"), "fontSize": obj.get("fontSize")}
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

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

 27class MindmapStyle(BaseModel):
 28    """
 29    Contains information about the node style, such as the widget's border color or shape type.
 30    """  # noqa: E501
 31
 32    node_color: Optional[StrictStr] = Field(
 33        default=None, description="Hex value representing the color of the widget's border.", alias="nodeColor"
 34    )
 35    shape: Optional[StrictStr] = Field(default=None, description="Shape type of the widget.")
 36    font_size: Optional[Annotated[str, Field(strict=True)]] = Field(
 37        default=None, description="The same font size as in MindmapNodeStyle.", alias="fontSize"
 38    )
 39    additional_properties: Dict[str, Any] = {}
 40    __properties: ClassVar[List[str]] = ["nodeColor", "shape", "fontSize"]
 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(["pill", "rectangle", "rounded_rectangle", "none"]):
 49            raise ValueError("must be one of enum values ('pill', 'rectangle', 'rounded_rectangle', 'none')")
 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 MindmapStyle 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 MindmapStyle 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            {"nodeColor": obj.get("nodeColor"), "shape": obj.get("shape"), "fontSize": obj.get("fontSize")}
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 information about the node style, such as the widget's border color or shape type.

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

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

font_size: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True)])]]

additional_properties: Dict[str, Any]

@field_validator('shape')

def shape_validate_enum(cls, value): View Source

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(["pill", "rectangle", "rounded_rectangle", "none"]):
49            raise ValueError("must be one of enum values ('pill', 'rectangle', 'rounded_rectangle', 'none')")
50        return value

Validates the enum

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

def to_str(self) -> str: View Source

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

def to_json(self) -> str: View Source

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

@classmethod

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

67    @classmethod
68    def from_json(cls, json_str: str) -> Optional[Self]:
69        """Create an instance of MindmapStyle from a JSON string"""
70        return cls.from_dict(json.loads(json_str))

Create an instance of MindmapStyle from a JSON string

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

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 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

101    @classmethod
102    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
103        """Create an instance of MindmapStyle 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            {"nodeColor": obj.get("nodeColor"), "shape": obj.get("shape"), "fontSize": obj.get("fontSize")}
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 MindmapStyle 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 = {'node_color': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='nodeColor', alias_priority=2, description="Hex value representing the color of the widget's border."), 'shape': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Shape type of the widget.'), 'font_size': FieldInfo(annotation=Union[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True)])], NoneType], required=False, alias='fontSize', alias_priority=2, description='The same font size as in MindmapNodeStyle.'), '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