miro_api.models.team

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

Team

id: typing.Annotated[str, Strict(strict=True)]
name: typing.Annotated[str, Strict(strict=True)]
picture: Optional[miro_api.models.picture.Picture]
type: Optional[Annotated[str, Strict(strict=True)]]
additional_properties: Dict[str, Any]
model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}
def to_str(self) -> str:
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))

Returns the string representation of the model using alias

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

Returns the JSON representation of the model using alias

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

Create an instance of Team from a JSON string

def to_dict(self) -> Dict[str, Any]:
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 picture
83        if self.picture:
84            _dict["picture"] = self.picture.to_dict()
85        # puts key-value pairs in additional_properties in the top level
86        if self.additional_properties is not None:
87            for _key, _value in self.additional_properties.items():
88                _dict[_key] = _value
89
90        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]:
 92    @classmethod
 93    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 94        """Create an instance of Team from a dict"""
 95        if obj is None:
 96            return None
 97
 98        if not isinstance(obj, dict):
 99            return cls.model_validate(obj)
100
101        _obj = cls.model_validate(
102            {
103                "id": obj.get("id"),
104                "name": obj.get("name"),
105                "picture": Picture.from_dict(obj["picture"]) if obj.get("picture") is not None else None,
106                "type": obj.get("type") if obj.get("type") is not None else "team",
107            }
108        )
109        # store additional fields in additional_properties
110        for _key in obj.keys():
111            if _key not in cls.__properties:
112                _obj.additional_properties[_key] = obj.get(_key)
113
114        return _obj

Create an instance of Team 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 = {'id': FieldInfo(annotation=str, required=True, description='Team id', metadata=[Strict(strict=True)]), 'name': FieldInfo(annotation=str, required=True, description='Team name', metadata=[Strict(strict=True)]), 'picture': FieldInfo(annotation=Union[Picture, NoneType], required=False), 'type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, default='team', description='Type of the object returned.'), '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