miro_api.models.board_changes
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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, StrictStr 21from typing import Any, ClassVar, Dict, List, Optional 22from typing_extensions import Annotated 23from miro_api.models.board_policy_change import BoardPolicyChange 24from typing import Optional, Set 25from typing_extensions import Self 26 27 28class BoardChanges(BaseModel): 29 """ 30 BoardChanges 31 """ # noqa: E501 32 33 description: Optional[Annotated[str, Field(min_length=0, strict=True, max_length=300)]] = Field( 34 default=None, description="Description of the board." 35 ) 36 name: Optional[Annotated[str, Field(min_length=1, strict=True, max_length=60)]] = Field( 37 default="Untitled", description="Name for the board." 38 ) 39 policy: Optional[BoardPolicyChange] = None 40 team_id: Optional[StrictStr] = Field( 41 default=None, description="Unique identifier (ID) of the team where the board must be placed.", alias="teamId" 42 ) 43 project_id: Optional[StrictStr] = Field( 44 default=None, 45 description="Unique identifier (ID) of the project to which the board must be added.", 46 alias="projectId", 47 ) 48 additional_properties: Dict[str, Any] = {} 49 __properties: ClassVar[List[str]] = ["description", "name", "policy", "teamId", "projectId"] 50 51 model_config = { 52 "populate_by_name": True, 53 "validate_assignment": True, 54 "protected_namespaces": (), 55 } 56 57 def to_str(self) -> str: 58 """Returns the string representation of the model using alias""" 59 return pprint.pformat(self.model_dump(by_alias=True)) 60 61 def to_json(self) -> str: 62 """Returns the JSON representation of the model using alias""" 63 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 64 return json.dumps(self.to_dict()) 65 66 @classmethod 67 def from_json(cls, json_str: str) -> Optional[Self]: 68 """Create an instance of BoardChanges from a JSON string""" 69 return cls.from_dict(json.loads(json_str)) 70 71 def to_dict(self) -> Dict[str, Any]: 72 """Return the dictionary representation of the model using alias. 73 74 This has the following differences from calling pydantic's 75 `self.model_dump(by_alias=True)`: 76 77 * `None` is only added to the output dict for nullable fields that 78 were set at model initialization. Other fields with value `None` 79 are ignored. 80 * Fields in `self.additional_properties` are added to the output dict. 81 """ 82 excluded_fields: Set[str] = set( 83 [ 84 "additional_properties", 85 ] 86 ) 87 88 _dict = self.model_dump( 89 by_alias=True, 90 exclude=excluded_fields, 91 exclude_none=True, 92 ) 93 # override the default output from pydantic by calling `to_dict()` of policy 94 if self.policy: 95 _dict["policy"] = self.policy.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 BoardChanges 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 "description": obj.get("description"), 115 "name": obj.get("name") if obj.get("name") is not None else "Untitled", 116 "policy": BoardPolicyChange.from_dict(obj["policy"]) if obj.get("policy") is not None else None, 117 "teamId": obj.get("teamId"), 118 "projectId": obj.get("projectId"), 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
29class BoardChanges(BaseModel): 30 """ 31 BoardChanges 32 """ # noqa: E501 33 34 description: Optional[Annotated[str, Field(min_length=0, strict=True, max_length=300)]] = Field( 35 default=None, description="Description of the board." 36 ) 37 name: Optional[Annotated[str, Field(min_length=1, strict=True, max_length=60)]] = Field( 38 default="Untitled", description="Name for the board." 39 ) 40 policy: Optional[BoardPolicyChange] = None 41 team_id: Optional[StrictStr] = Field( 42 default=None, description="Unique identifier (ID) of the team where the board must be placed.", alias="teamId" 43 ) 44 project_id: Optional[StrictStr] = Field( 45 default=None, 46 description="Unique identifier (ID) of the project to which the board must be added.", 47 alias="projectId", 48 ) 49 additional_properties: Dict[str, Any] = {} 50 __properties: ClassVar[List[str]] = ["description", "name", "policy", "teamId", "projectId"] 51 52 model_config = { 53 "populate_by_name": True, 54 "validate_assignment": True, 55 "protected_namespaces": (), 56 } 57 58 def to_str(self) -> str: 59 """Returns the string representation of the model using alias""" 60 return pprint.pformat(self.model_dump(by_alias=True)) 61 62 def to_json(self) -> str: 63 """Returns the JSON representation of the model using alias""" 64 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 65 return json.dumps(self.to_dict()) 66 67 @classmethod 68 def from_json(cls, json_str: str) -> Optional[Self]: 69 """Create an instance of BoardChanges from a JSON string""" 70 return cls.from_dict(json.loads(json_str)) 71 72 def to_dict(self) -> Dict[str, Any]: 73 """Return the dictionary representation of the model using alias. 74 75 This has the following differences from calling pydantic's 76 `self.model_dump(by_alias=True)`: 77 78 * `None` is only added to the output dict for nullable fields that 79 were set at model initialization. Other fields with value `None` 80 are ignored. 81 * Fields in `self.additional_properties` are added to the output dict. 82 """ 83 excluded_fields: Set[str] = set( 84 [ 85 "additional_properties", 86 ] 87 ) 88 89 _dict = self.model_dump( 90 by_alias=True, 91 exclude=excluded_fields, 92 exclude_none=True, 93 ) 94 # override the default output from pydantic by calling `to_dict()` of policy 95 if self.policy: 96 _dict["policy"] = self.policy.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 BoardChanges 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 "description": obj.get("description"), 116 "name": obj.get("name") if obj.get("name") is not None else "Untitled", 117 "policy": BoardPolicyChange.from_dict(obj["policy"]) if obj.get("policy") is not None else None, 118 "teamId": obj.get("teamId"), 119 "projectId": obj.get("projectId"), 120 } 121 ) 122 # store additional fields in additional_properties 123 for _key in obj.keys(): 124 if _key not in cls.__properties: 125 _obj.additional_properties[_key] = obj.get(_key) 126 127 return _obj
BoardChanges
58 def to_str(self) -> str: 59 """Returns the string representation of the model using alias""" 60 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
62 def to_json(self) -> str: 63 """Returns the JSON representation of the model using alias""" 64 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 65 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
67 @classmethod 68 def from_json(cls, json_str: str) -> Optional[Self]: 69 """Create an instance of BoardChanges from a JSON string""" 70 return cls.from_dict(json.loads(json_str))
Create an instance of BoardChanges from a JSON string
72 def to_dict(self) -> Dict[str, Any]: 73 """Return the dictionary representation of the model using alias. 74 75 This has the following differences from calling pydantic's 76 `self.model_dump(by_alias=True)`: 77 78 * `None` is only added to the output dict for nullable fields that 79 were set at model initialization. Other fields with value `None` 80 are ignored. 81 * Fields in `self.additional_properties` are added to the output dict. 82 """ 83 excluded_fields: Set[str] = set( 84 [ 85 "additional_properties", 86 ] 87 ) 88 89 _dict = self.model_dump( 90 by_alias=True, 91 exclude=excluded_fields, 92 exclude_none=True, 93 ) 94 # override the default output from pydantic by calling `to_dict()` of policy 95 if self.policy: 96 _dict["policy"] = self.policy.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 valueNone
are ignored.- Fields in
self.additional_properties
are added to the output dict.
104 @classmethod 105 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 106 """Create an instance of BoardChanges 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 "description": obj.get("description"), 116 "name": obj.get("name") if obj.get("name") is not None else "Untitled", 117 "policy": BoardPolicyChange.from_dict(obj["policy"]) if obj.get("policy") is not None else None, 118 "teamId": obj.get("teamId"), 119 "projectId": obj.get("projectId"), 120 } 121 ) 122 # store additional fields in additional_properties 123 for _key in obj.keys(): 124 if _key not in cls.__properties: 125 _obj.additional_properties[_key] = obj.get(_key) 126 127 return _obj
Create an instance of BoardChanges 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