miro_api.models.tag_create_request

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, StrictStr, field_validator
 21from typing import Any, ClassVar, Dict, List, Optional
 22from typing_extensions import Annotated
 23from typing import Optional, Set
 24from typing_extensions import Self
 25
 26
 27class TagCreateRequest(BaseModel):
 28    """
 29    TagCreateRequest
 30    """  # noqa: E501
 31
 32    fill_color: Optional[StrictStr] = Field(default="red", description="Fill color for the tag.", alias="fillColor")
 33    title: Annotated[str, Field(min_length=0, strict=True, max_length=120)] = Field(
 34        description="Text of the tag. Case-sensitive. Must be unique."
 35    )
 36    additional_properties: Dict[str, Any] = {}
 37    __properties: ClassVar[List[str]] = ["fillColor", "title"]
 38
 39    @field_validator("fill_color")
 40    def fill_color_validate_enum(cls, value):
 41        """Validates the enum"""
 42        if value is None:
 43            return value
 44
 45        if value not in set(
 46            [
 47                "red",
 48                "light_green",
 49                "cyan",
 50                "yellow",
 51                "magenta",
 52                "green",
 53                "blue",
 54                "gray",
 55                "violet",
 56                "dark_green",
 57                "dark_blue",
 58                "black",
 59            ]
 60        ):
 61            raise ValueError(
 62                "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')"
 63            )
 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 TagCreateRequest 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 TagCreateRequest 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                "fillColor": obj.get("fillColor") if obj.get("fillColor") is not None else "red",
127                "title": obj.get("title"),
128            }
129        )
130        # store additional fields in additional_properties
131        for _key in obj.keys():
132            if _key not in cls.__properties:
133                _obj.additional_properties[_key] = obj.get(_key)
134
135        return _obj
class TagCreateRequest(pydantic.main.BaseModel):
 28class TagCreateRequest(BaseModel):
 29    """
 30    TagCreateRequest
 31    """  # noqa: E501
 32
 33    fill_color: Optional[StrictStr] = Field(default="red", description="Fill color for the tag.", alias="fillColor")
 34    title: Annotated[str, Field(min_length=0, strict=True, max_length=120)] = Field(
 35        description="Text of the tag. Case-sensitive. Must be unique."
 36    )
 37    additional_properties: Dict[str, Any] = {}
 38    __properties: ClassVar[List[str]] = ["fillColor", "title"]
 39
 40    @field_validator("fill_color")
 41    def fill_color_validate_enum(cls, value):
 42        """Validates the enum"""
 43        if value is None:
 44            return value
 45
 46        if value not in set(
 47            [
 48                "red",
 49                "light_green",
 50                "cyan",
 51                "yellow",
 52                "magenta",
 53                "green",
 54                "blue",
 55                "gray",
 56                "violet",
 57                "dark_green",
 58                "dark_blue",
 59                "black",
 60            ]
 61        ):
 62            raise ValueError(
 63                "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')"
 64            )
 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 TagCreateRequest 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 TagCreateRequest 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                "fillColor": obj.get("fillColor") if obj.get("fillColor") is not None else "red",
128                "title": obj.get("title"),
129            }
130        )
131        # store additional fields in additional_properties
132        for _key in obj.keys():
133            if _key not in cls.__properties:
134                _obj.additional_properties[_key] = obj.get(_key)
135
136        return _obj

TagCreateRequest

fill_color: Optional[Annotated[str, Strict(strict=True)]]
title: typing.Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True), MinLen(min_length=0), MaxLen(max_length=120)])]
additional_properties: Dict[str, Any]
@field_validator('fill_color')
def fill_color_validate_enum(cls, value):
40    @field_validator("fill_color")
41    def fill_color_validate_enum(cls, value):
42        """Validates the enum"""
43        if value is None:
44            return value
45
46        if value not in set(
47            [
48                "red",
49                "light_green",
50                "cyan",
51                "yellow",
52                "magenta",
53                "green",
54                "blue",
55                "gray",
56                "violet",
57                "dark_green",
58                "dark_blue",
59                "black",
60            ]
61        ):
62            raise ValueError(
63                "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')"
64            )
65        return value

Validates the enum

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

def to_json(self) -> str:
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

@classmethod
def from_json(cls, json_str: str) -> Optional[typing_extensions.Self]:
82    @classmethod
83    def from_json(cls, json_str: str) -> Optional[Self]:
84        """Create an instance of TagCreateRequest from a JSON string"""
85        return cls.from_dict(json.loads(json_str))

Create an instance of TagCreateRequest from a JSON string

def to_dict(self) -> Dict[str, Any]:
 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 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]:
116    @classmethod
117    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
118        """Create an instance of TagCreateRequest 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                "fillColor": obj.get("fillColor") if obj.get("fillColor") is not None else "red",
128                "title": obj.get("title"),
129            }
130        )
131        # store additional fields in additional_properties
132        for _key in obj.keys():
133            if _key not in cls.__properties:
134                _obj.additional_properties[_key] = obj.get(_key)
135
136        return _obj

Create an instance of TagCreateRequest 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 = {'fill_color': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, default='red', alias='fillColor', alias_priority=2, description='Fill color for the tag.'), 'title': FieldInfo(annotation=str, required=True, description='Text of the tag. Case-sensitive. Must be unique.', metadata=[Strict(strict=True), MinLen(min_length=0), MaxLen(max_length=120)]), '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