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