miro_api.models.frame_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
 21from typing import Any, ClassVar, Dict, List, Optional
 22from miro_api.models.frame_changes import FrameChanges
 23from miro_api.models.frame_style import FrameStyle
 24from miro_api.models.geometry_no_rotation import GeometryNoRotation
 25from miro_api.models.position_change import PositionChange
 26from typing import Optional, Set
 27from typing_extensions import Self
 28
 29
 30class FrameCreateRequest(BaseModel):
 31    """
 32    FrameCreateRequest
 33    """  # noqa: E501
 34
 35    data: FrameChanges
 36    style: Optional[FrameStyle] = None
 37    position: Optional[PositionChange] = None
 38    geometry: Optional[GeometryNoRotation] = None
 39    additional_properties: Dict[str, Any] = {}
 40    __properties: ClassVar[List[str]] = ["data", "style", "position", "geometry"]
 41
 42    model_config = {
 43        "populate_by_name": True,
 44        "validate_assignment": True,
 45        "protected_namespaces": (),
 46    }
 47
 48    def to_str(self) -> str:
 49        """Returns the string representation of the model using alias"""
 50        return pprint.pformat(self.model_dump(by_alias=True))
 51
 52    def to_json(self) -> str:
 53        """Returns the JSON representation of the model using alias"""
 54        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 55        return json.dumps(self.to_dict())
 56
 57    @classmethod
 58    def from_json(cls, json_str: str) -> Optional[Self]:
 59        """Create an instance of FrameCreateRequest from a JSON string"""
 60        return cls.from_dict(json.loads(json_str))
 61
 62    def to_dict(self) -> Dict[str, Any]:
 63        """Return the dictionary representation of the model using alias.
 64
 65        This has the following differences from calling pydantic's
 66        `self.model_dump(by_alias=True)`:
 67
 68        * `None` is only added to the output dict for nullable fields that
 69          were set at model initialization. Other fields with value `None`
 70          are ignored.
 71        * Fields in `self.additional_properties` are added to the output dict.
 72        """
 73        excluded_fields: Set[str] = set(
 74            [
 75                "additional_properties",
 76            ]
 77        )
 78
 79        _dict = self.model_dump(
 80            by_alias=True,
 81            exclude=excluded_fields,
 82            exclude_none=True,
 83        )
 84        # override the default output from pydantic by calling `to_dict()` of data
 85        if self.data:
 86            _dict["data"] = self.data.to_dict()
 87        # override the default output from pydantic by calling `to_dict()` of style
 88        if self.style:
 89            _dict["style"] = self.style.to_dict()
 90        # override the default output from pydantic by calling `to_dict()` of position
 91        if self.position:
 92            _dict["position"] = self.position.to_dict()
 93        # override the default output from pydantic by calling `to_dict()` of geometry
 94        if self.geometry:
 95            _dict["geometry"] = self.geometry.to_dict()
 96        # puts key-value pairs in additional_properties in the top level
 97        if self.additional_properties is not None:
 98            for _key, _value in self.additional_properties.items():
 99                _dict[_key] = _value
100
101        return _dict
102
103    @classmethod
104    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
105        """Create an instance of FrameCreateRequest from a dict"""
106        if obj is None:
107            return None
108
109        if not isinstance(obj, dict):
110            return cls.model_validate(obj)
111
112        _obj = cls.model_validate(
113            {
114                "data": FrameChanges.from_dict(obj["data"]) if obj.get("data") is not None else None,
115                "style": FrameStyle.from_dict(obj["style"]) if obj.get("style") is not None else None,
116                "position": PositionChange.from_dict(obj["position"]) if obj.get("position") is not None else None,
117                "geometry": GeometryNoRotation.from_dict(obj["geometry"]) if obj.get("geometry") is not None else None,
118            }
119        )
120        # store additional fields in additional_properties
121        for _key in obj.keys():
122            if _key not in cls.__properties:
123                _obj.additional_properties[_key] = obj.get(_key)
124
125        return _obj
class FrameCreateRequest(pydantic.main.BaseModel):
 31class FrameCreateRequest(BaseModel):
 32    """
 33    FrameCreateRequest
 34    """  # noqa: E501
 35
 36    data: FrameChanges
 37    style: Optional[FrameStyle] = None
 38    position: Optional[PositionChange] = None
 39    geometry: Optional[GeometryNoRotation] = None
 40    additional_properties: Dict[str, Any] = {}
 41    __properties: ClassVar[List[str]] = ["data", "style", "position", "geometry"]
 42
 43    model_config = {
 44        "populate_by_name": True,
 45        "validate_assignment": True,
 46        "protected_namespaces": (),
 47    }
 48
 49    def to_str(self) -> str:
 50        """Returns the string representation of the model using alias"""
 51        return pprint.pformat(self.model_dump(by_alias=True))
 52
 53    def to_json(self) -> str:
 54        """Returns the JSON representation of the model using alias"""
 55        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 56        return json.dumps(self.to_dict())
 57
 58    @classmethod
 59    def from_json(cls, json_str: str) -> Optional[Self]:
 60        """Create an instance of FrameCreateRequest from a JSON string"""
 61        return cls.from_dict(json.loads(json_str))
 62
 63    def to_dict(self) -> Dict[str, Any]:
 64        """Return the dictionary representation of the model using alias.
 65
 66        This has the following differences from calling pydantic's
 67        `self.model_dump(by_alias=True)`:
 68
 69        * `None` is only added to the output dict for nullable fields that
 70          were set at model initialization. Other fields with value `None`
 71          are ignored.
 72        * Fields in `self.additional_properties` are added to the output dict.
 73        """
 74        excluded_fields: Set[str] = set(
 75            [
 76                "additional_properties",
 77            ]
 78        )
 79
 80        _dict = self.model_dump(
 81            by_alias=True,
 82            exclude=excluded_fields,
 83            exclude_none=True,
 84        )
 85        # override the default output from pydantic by calling `to_dict()` of data
 86        if self.data:
 87            _dict["data"] = self.data.to_dict()
 88        # override the default output from pydantic by calling `to_dict()` of style
 89        if self.style:
 90            _dict["style"] = self.style.to_dict()
 91        # override the default output from pydantic by calling `to_dict()` of position
 92        if self.position:
 93            _dict["position"] = self.position.to_dict()
 94        # override the default output from pydantic by calling `to_dict()` of geometry
 95        if self.geometry:
 96            _dict["geometry"] = self.geometry.to_dict()
 97        # puts key-value pairs in additional_properties in the top level
 98        if self.additional_properties is not None:
 99            for _key, _value in self.additional_properties.items():
100                _dict[_key] = _value
101
102        return _dict
103
104    @classmethod
105    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
106        """Create an instance of FrameCreateRequest from a dict"""
107        if obj is None:
108            return None
109
110        if not isinstance(obj, dict):
111            return cls.model_validate(obj)
112
113        _obj = cls.model_validate(
114            {
115                "data": FrameChanges.from_dict(obj["data"]) if obj.get("data") is not None else None,
116                "style": FrameStyle.from_dict(obj["style"]) if obj.get("style") is not None else None,
117                "position": PositionChange.from_dict(obj["position"]) if obj.get("position") is not None else None,
118                "geometry": GeometryNoRotation.from_dict(obj["geometry"]) if obj.get("geometry") is not None else None,
119            }
120        )
121        # store additional fields in additional_properties
122        for _key in obj.keys():
123            if _key not in cls.__properties:
124                _obj.additional_properties[_key] = obj.get(_key)
125
126        return _obj

FrameCreateRequest

additional_properties: Dict[str, Any]
model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}
def to_str(self) -> str:
49    def to_str(self) -> str:
50        """Returns the string representation of the model using alias"""
51        return pprint.pformat(self.model_dump(by_alias=True))

Returns the string representation of the model using alias

def to_json(self) -> str:
53    def to_json(self) -> str:
54        """Returns the JSON representation of the model using alias"""
55        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
56        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]:
58    @classmethod
59    def from_json(cls, json_str: str) -> Optional[Self]:
60        """Create an instance of FrameCreateRequest from a JSON string"""
61        return cls.from_dict(json.loads(json_str))

Create an instance of FrameCreateRequest from a JSON string

def to_dict(self) -> Dict[str, Any]:
 63    def to_dict(self) -> Dict[str, Any]:
 64        """Return the dictionary representation of the model using alias.
 65
 66        This has the following differences from calling pydantic's
 67        `self.model_dump(by_alias=True)`:
 68
 69        * `None` is only added to the output dict for nullable fields that
 70          were set at model initialization. Other fields with value `None`
 71          are ignored.
 72        * Fields in `self.additional_properties` are added to the output dict.
 73        """
 74        excluded_fields: Set[str] = set(
 75            [
 76                "additional_properties",
 77            ]
 78        )
 79
 80        _dict = self.model_dump(
 81            by_alias=True,
 82            exclude=excluded_fields,
 83            exclude_none=True,
 84        )
 85        # override the default output from pydantic by calling `to_dict()` of data
 86        if self.data:
 87            _dict["data"] = self.data.to_dict()
 88        # override the default output from pydantic by calling `to_dict()` of style
 89        if self.style:
 90            _dict["style"] = self.style.to_dict()
 91        # override the default output from pydantic by calling `to_dict()` of position
 92        if self.position:
 93            _dict["position"] = self.position.to_dict()
 94        # override the default output from pydantic by calling `to_dict()` of geometry
 95        if self.geometry:
 96            _dict["geometry"] = self.geometry.to_dict()
 97        # puts key-value pairs in additional_properties in the top level
 98        if self.additional_properties is not None:
 99            for _key, _value in self.additional_properties.items():
100                _dict[_key] = _value
101
102        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]:
104    @classmethod
105    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
106        """Create an instance of FrameCreateRequest from a dict"""
107        if obj is None:
108            return None
109
110        if not isinstance(obj, dict):
111            return cls.model_validate(obj)
112
113        _obj = cls.model_validate(
114            {
115                "data": FrameChanges.from_dict(obj["data"]) if obj.get("data") is not None else None,
116                "style": FrameStyle.from_dict(obj["style"]) if obj.get("style") is not None else None,
117                "position": PositionChange.from_dict(obj["position"]) if obj.get("position") is not None else None,
118                "geometry": GeometryNoRotation.from_dict(obj["geometry"]) if obj.get("geometry") is not None else None,
119            }
120        )
121        # store additional fields in additional_properties
122        for _key in obj.keys():
123            if _key not in cls.__properties:
124                _obj.additional_properties[_key] = obj.get(_key)
125
126        return _obj

Create an instance of FrameCreateRequest 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 = {'data': FieldInfo(annotation=FrameChanges, required=True), 'style': FieldInfo(annotation=Union[FrameStyle, NoneType], required=False), 'position': FieldInfo(annotation=Union[PositionChange, NoneType], required=False), 'geometry': FieldInfo(annotation=Union[GeometryNoRotation, NoneType], required=False), '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