miro_api.models.created_by

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

Contains information about the user who created the item.

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

Returns the string representation of the model using alias

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

Returns the JSON representation of the model using alias

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

Create an instance of CreatedBy from a JSON string

def to_dict(self) -> Dict[str, Any]:
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        # puts key-value pairs in additional_properties in the top level
82        if self.additional_properties is not None:
83            for _key, _value in self.additional_properties.items():
84                _dict[_key] = _value
85
86        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]:
 88    @classmethod
 89    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 90        """Create an instance of CreatedBy from a dict"""
 91        if obj is None:
 92            return None
 93
 94        if not isinstance(obj, dict):
 95            return cls.model_validate(obj)
 96
 97        _obj = cls.model_validate({"id": obj.get("id"), "type": obj.get("type")})
 98        # store additional fields in additional_properties
 99        for _key in obj.keys():
100            if _key not in cls.__properties:
101                _obj.additional_properties[_key] = obj.get(_key)
102
103        return _obj

Create an instance of CreatedBy 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=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Unique identifier (ID) of the user.'), 'type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Indicates the type of object returned. In this case, `type` returns `user`.'), '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