miro_api.models.schema_resource

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.

View Source

  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
 20from typing import Any, ClassVar, Dict, List, Optional
 21from miro_api.models.schema_attribute import SchemaAttribute
 22from miro_api.models.schema_resource_meta import SchemaResourceMeta
 23from typing import Optional, Set
 24from typing_extensions import Self
 25
 26
 27class SchemaResource(BaseModel):
 28    """
 29    Information on how users, groups, and enterprise-user attributes are formatted.
 30    """  # noqa: E501
 31
 32    id: Optional[StrictStr] = Field(default=None, description="Identifier of the schema resource.")
 33    name: Optional[StrictStr] = Field(default=None, description="Name of the schema resource.")
 34    description: Optional[StrictStr] = Field(default=None, description="Description of the schema resource.")
 35    attributes: Optional[List[SchemaAttribute]] = Field(
 36        default=None, description="Attributes that are currently supported."
 37    )
 38    meta: Optional[SchemaResourceMeta] = None
 39    additional_properties: Dict[str, Any] = {}
 40    __properties: ClassVar[List[str]] = ["id", "name", "description", "attributes", "meta"]
 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 SchemaResource 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 each item in attributes (list)
 85        _items = []
 86        if self.attributes:
 87            for _item in self.attributes:
 88                if _item:
 89                    _items.append(_item.to_dict())
 90            _dict["attributes"] = _items
 91        # override the default output from pydantic by calling `to_dict()` of meta
 92        if self.meta:
 93            _dict["meta"] = self.meta.to_dict()
 94        # puts key-value pairs in additional_properties in the top level
 95        if self.additional_properties is not None:
 96            for _key, _value in self.additional_properties.items():
 97                _dict[_key] = _value
 98
 99        return _dict
100
101    @classmethod
102    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
103        """Create an instance of SchemaResource from a dict"""
104        if obj is None:
105            return None
106
107        if not isinstance(obj, dict):
108            return cls.model_validate(obj)
109
110        _obj = cls.model_validate(
111            {
112                "id": obj.get("id"),
113                "name": obj.get("name"),
114                "description": obj.get("description"),
115                "attributes": (
116                    [SchemaAttribute.from_dict(_item) for _item in obj["attributes"]]
117                    if obj.get("attributes") is not None
118                    else None
119                ),
120                "meta": SchemaResourceMeta.from_dict(obj["meta"]) if obj.get("meta") is not None else None,
121            }
122        )
123        # store additional fields in additional_properties
124        for _key in obj.keys():
125            if _key not in cls.__properties:
126                _obj.additional_properties[_key] = obj.get(_key)
127
128        return _obj

class SchemaResource(pydantic.main.BaseModel): View Source

 28class SchemaResource(BaseModel):
 29    """
 30    Information on how users, groups, and enterprise-user attributes are formatted.
 31    """  # noqa: E501
 32
 33    id: Optional[StrictStr] = Field(default=None, description="Identifier of the schema resource.")
 34    name: Optional[StrictStr] = Field(default=None, description="Name of the schema resource.")
 35    description: Optional[StrictStr] = Field(default=None, description="Description of the schema resource.")
 36    attributes: Optional[List[SchemaAttribute]] = Field(
 37        default=None, description="Attributes that are currently supported."
 38    )
 39    meta: Optional[SchemaResourceMeta] = None
 40    additional_properties: Dict[str, Any] = {}
 41    __properties: ClassVar[List[str]] = ["id", "name", "description", "attributes", "meta"]
 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 SchemaResource 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 each item in attributes (list)
 86        _items = []
 87        if self.attributes:
 88            for _item in self.attributes:
 89                if _item:
 90                    _items.append(_item.to_dict())
 91            _dict["attributes"] = _items
 92        # override the default output from pydantic by calling `to_dict()` of meta
 93        if self.meta:
 94            _dict["meta"] = self.meta.to_dict()
 95        # puts key-value pairs in additional_properties in the top level
 96        if self.additional_properties is not None:
 97            for _key, _value in self.additional_properties.items():
 98                _dict[_key] = _value
 99
100        return _dict
101
102    @classmethod
103    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
104        """Create an instance of SchemaResource from a dict"""
105        if obj is None:
106            return None
107
108        if not isinstance(obj, dict):
109            return cls.model_validate(obj)
110
111        _obj = cls.model_validate(
112            {
113                "id": obj.get("id"),
114                "name": obj.get("name"),
115                "description": obj.get("description"),
116                "attributes": (
117                    [SchemaAttribute.from_dict(_item) for _item in obj["attributes"]]
118                    if obj.get("attributes") is not None
119                    else None
120                ),
121                "meta": SchemaResourceMeta.from_dict(obj["meta"]) if obj.get("meta") is not None else None,
122            }
123        )
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

Information on how users, groups, and enterprise-user attributes are formatted.

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

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

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

attributes: Optional[List[miro_api.models.schema_attribute.SchemaAttribute]]

meta: Optional[miro_api.models.schema_resource_meta.SchemaResourceMeta]

additional_properties: Dict[str, Any]

model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}

def to_str(self) -> str: View Source

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: View Source

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]: View Source

58    @classmethod
59    def from_json(cls, json_str: str) -> Optional[Self]:
60        """Create an instance of SchemaResource from a JSON string"""
61        return cls.from_dict(json.loads(json_str))

Create an instance of SchemaResource from a JSON string

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

 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 each item in attributes (list)
 86        _items = []
 87        if self.attributes:
 88            for _item in self.attributes:
 89                if _item:
 90                    _items.append(_item.to_dict())
 91            _dict["attributes"] = _items
 92        # override the default output from pydantic by calling `to_dict()` of meta
 93        if self.meta:
 94            _dict["meta"] = self.meta.to_dict()
 95        # puts key-value pairs in additional_properties in the top level
 96        if self.additional_properties is not None:
 97            for _key, _value in self.additional_properties.items():
 98                _dict[_key] = _value
 99
100        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]: View Source

102    @classmethod
103    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
104        """Create an instance of SchemaResource from a dict"""
105        if obj is None:
106            return None
107
108        if not isinstance(obj, dict):
109            return cls.model_validate(obj)
110
111        _obj = cls.model_validate(
112            {
113                "id": obj.get("id"),
114                "name": obj.get("name"),
115                "description": obj.get("description"),
116                "attributes": (
117                    [SchemaAttribute.from_dict(_item) for _item in obj["attributes"]]
118                    if obj.get("attributes") is not None
119                    else None
120                ),
121                "meta": SchemaResourceMeta.from_dict(obj["meta"]) if obj.get("meta") is not None else None,
122            }
123        )
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

Create an instance of SchemaResource from a dict

def model_post_init(self: pydantic.main.BaseModel, __context: Any) -> None: View Source

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='Identifier of the schema resource.'), 'name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Name of the schema resource.'), 'description': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='Description of the schema resource.'), 'attributes': FieldInfo(annotation=Union[List[miro_api.models.schema_attribute.SchemaAttribute], NoneType], required=False, description='Attributes that are currently supported.'), 'meta': FieldInfo(annotation=Union[SchemaResourceMeta, 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