miro_api.models.tag_update_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
 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 TagUpdateRequest(BaseModel):
 27    """
 28    TagUpdateRequest
 29    """  # noqa: E501
 30
 31    fill_color: Optional[StrictStr] = Field(default=None, description="Fill color for the tag.", alias="fillColor")
 32    title: Optional[Annotated[str, Field(min_length=0, strict=True, max_length=120)]] = Field(
 33        default=None, description="Text of the tag. Case-sensitive. Must be unique."
 34    )
 35    additional_properties: Dict[str, Any] = {}
 36    __properties: ClassVar[List[str]] = ["fillColor", "title"]
 37
 38    @field_validator("fill_color")
 39    def fill_color_validate_enum(cls, value):
 40        """Validates the enum"""
 41        if value is None:
 42            return value
 43
 44        if value not in set(
 45            [
 46                "red",
 47                "light_green",
 48                "cyan",
 49                "yellow",
 50                "magenta",
 51                "green",
 52                "blue",
 53                "gray",
 54                "violet",
 55                "dark_green",
 56                "dark_blue",
 57                "black",
 58            ]
 59        ):
 60            raise ValueError(
 61                "must be one of enum values ('red', 'light_green', 'cyan', 'yellow', 'magenta', 'green', 'blue', 'gray', 'violet', 'dark_green', 'dark_blue', 'black')"
 62            )
 63        return value
 64
 65    model_config = {
 66        "populate_by_name": True,
 67        "validate_assignment": True,
 68        "protected_namespaces": (),
 69    }
 70
 71    def to_str(self) -> str:
 72        """Returns the string representation of the model using alias"""
 73        return pprint.pformat(self.model_dump(by_alias=True))
 74
 75    def to_json(self) -> str:
 76        """Returns the JSON representation of the model using alias"""
 77        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 78        return json.dumps(self.to_dict())
 79
 80    @classmethod
 81    def from_json(cls, json_str: str) -> Optional[Self]:
 82        """Create an instance of TagUpdateRequest from a JSON string"""
 83        return cls.from_dict(json.loads(json_str))
 84
 85    def to_dict(self) -> Dict[str, Any]:
 86        """Return the dictionary representation of the model using alias.
 87
 88        This has the following differences from calling pydantic's
 89        `self.model_dump(by_alias=True)`:
 90
 91        * `None` is only added to the output dict for nullable fields that
 92          were set at model initialization. Other fields with value `None`
 93          are ignored.
 94        * Fields in `self.additional_properties` are added to the output dict.
 95        """
 96        excluded_fields: Set[str] = set(
 97            [
 98                "additional_properties",
 99            ]
100        )
101
102        _dict = self.model_dump(
103            by_alias=True,
104            exclude=excluded_fields,
105            exclude_none=True,
106        )
107        # puts key-value pairs in additional_properties in the top level
108        if self.additional_properties is not None:
109            for _key, _value in self.additional_properties.items():
110                _dict[_key] = _value
111
112        return _dict
113
114    @classmethod
115    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
116        """Create an instance of TagUpdateRequest from a dict"""
117        if obj is None:
118            return None
119
120        if not isinstance(obj, dict):
121            return cls.model_validate(obj)
122
123        _obj = cls.model_validate({"fillColor": obj.get("fillColor"), "title": obj.get("title")})
124        # store additional fields in additional_properties
125        for _key in obj.keys():
126            if _key not in cls.__properties:
127                _obj.additional_properties[_key] = obj.get(_key)
128
129        return _obj
class TagUpdateRequest(pydantic.main.BaseModel):
 27class TagUpdateRequest(BaseModel):
 28    """
 29    TagUpdateRequest
 30    """  # noqa: E501
 31
 32    fill_color: Optional[StrictStr] = Field(default=None, description="Fill color for the tag.", alias="fillColor")
 33    title: Optional[Annotated[str, Field(min_length=0, strict=True, max_length=120)]] = Field(
 34        default=None, 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 TagUpdateRequest 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 TagUpdateRequest 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({"fillColor": obj.get("fillColor"), "title": obj.get("title")})
125        # store additional fields in additional_properties
126        for _key in obj.keys():
127            if _key not in cls.__properties:
128                _obj.additional_properties[_key] = obj.get(_key)
129
130        return _obj

TagUpdateRequest

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

Validates the enum

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

Returns the string representation of the model using alias

def to_json(self) -> str:
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())

Returns the JSON representation of the model using alias

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

Create an instance of TagUpdateRequest from a JSON string

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

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]:
115    @classmethod
116    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
117        """Create an instance of TagUpdateRequest 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({"fillColor": obj.get("fillColor"), "title": obj.get("title")})
125        # store additional fields in additional_properties
126        for _key in obj.keys():
127            if _key not in cls.__properties:
128                _obj.additional_properties[_key] = obj.get(_key)
129
130        return _obj

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