miro_api.models.legal_hold_content_items_response
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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, field_validator 21from typing import Any, ClassVar, Dict, List, Optional 22from typing_extensions import Annotated 23from typing import Optional, Set 24from typing_extensions import Self 25 26 27class LegalHoldContentItemsResponse(BaseModel): 28 """ 29 LegalHoldContentItemsResponse 30 """ # noqa: E501 31 32 id: Annotated[str, Field(strict=True)] = Field(description="Unique identifier of the content item.") 33 content_id: Optional[StrictStr] = Field( 34 default=None, 35 description="Identifier for the piece of content referenced by a content item. In the case of a board, this represents the `boardKey` and can be used to export a board using the Discovery APIs.", 36 alias="contentId", 37 ) 38 type: StrictStr = Field(description="Type of the content item that is returned. ") 39 additional_properties: Dict[str, Any] = {} 40 __properties: ClassVar[List[str]] = ["id", "contentId", "type"] 41 42 @field_validator("id") 43 def id_validate_regular_expression(cls, value): 44 """Validates the regular expression""" 45 if not re.match(r"^[0-9]+$", value): 46 raise ValueError(r"must validate the regular expression /^[0-9]+$/") 47 return value 48 49 model_config = { 50 "populate_by_name": True, 51 "validate_assignment": True, 52 "protected_namespaces": (), 53 } 54 55 def to_str(self) -> str: 56 """Returns the string representation of the model using alias""" 57 return pprint.pformat(self.model_dump(by_alias=True)) 58 59 def to_json(self) -> str: 60 """Returns the JSON representation of the model using alias""" 61 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 62 return json.dumps(self.to_dict()) 63 64 @classmethod 65 def from_json(cls, json_str: str) -> Optional[Self]: 66 """Create an instance of LegalHoldContentItemsResponse from a JSON string""" 67 return cls.from_dict(json.loads(json_str)) 68 69 def to_dict(self) -> Dict[str, Any]: 70 """Return the dictionary representation of the model using alias. 71 72 This has the following differences from calling pydantic's 73 `self.model_dump(by_alias=True)`: 74 75 * `None` is only added to the output dict for nullable fields that 76 were set at model initialization. Other fields with value `None` 77 are ignored. 78 * Fields in `self.additional_properties` are added to the output dict. 79 """ 80 excluded_fields: Set[str] = set( 81 [ 82 "additional_properties", 83 ] 84 ) 85 86 _dict = self.model_dump( 87 by_alias=True, 88 exclude=excluded_fields, 89 exclude_none=True, 90 ) 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 LegalHoldContentItemsResponse 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({"id": obj.get("id"), "contentId": obj.get("contentId"), "type": obj.get("type")}) 108 # store additional fields in additional_properties 109 for _key in obj.keys(): 110 if _key not in cls.__properties: 111 _obj.additional_properties[_key] = obj.get(_key) 112 113 return _obj
28class LegalHoldContentItemsResponse(BaseModel): 29 """ 30 LegalHoldContentItemsResponse 31 """ # noqa: E501 32 33 id: Annotated[str, Field(strict=True)] = Field(description="Unique identifier of the content item.") 34 content_id: Optional[StrictStr] = Field( 35 default=None, 36 description="Identifier for the piece of content referenced by a content item. In the case of a board, this represents the `boardKey` and can be used to export a board using the Discovery APIs.", 37 alias="contentId", 38 ) 39 type: StrictStr = Field(description="Type of the content item that is returned. ") 40 additional_properties: Dict[str, Any] = {} 41 __properties: ClassVar[List[str]] = ["id", "contentId", "type"] 42 43 @field_validator("id") 44 def id_validate_regular_expression(cls, value): 45 """Validates the regular expression""" 46 if not re.match(r"^[0-9]+$", value): 47 raise ValueError(r"must validate the regular expression /^[0-9]+$/") 48 return value 49 50 model_config = { 51 "populate_by_name": True, 52 "validate_assignment": True, 53 "protected_namespaces": (), 54 } 55 56 def to_str(self) -> str: 57 """Returns the string representation of the model using alias""" 58 return pprint.pformat(self.model_dump(by_alias=True)) 59 60 def to_json(self) -> str: 61 """Returns the JSON representation of the model using alias""" 62 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 63 return json.dumps(self.to_dict()) 64 65 @classmethod 66 def from_json(cls, json_str: str) -> Optional[Self]: 67 """Create an instance of LegalHoldContentItemsResponse from a JSON string""" 68 return cls.from_dict(json.loads(json_str)) 69 70 def to_dict(self) -> Dict[str, Any]: 71 """Return the dictionary representation of the model using alias. 72 73 This has the following differences from calling pydantic's 74 `self.model_dump(by_alias=True)`: 75 76 * `None` is only added to the output dict for nullable fields that 77 were set at model initialization. Other fields with value `None` 78 are ignored. 79 * Fields in `self.additional_properties` are added to the output dict. 80 """ 81 excluded_fields: Set[str] = set( 82 [ 83 "additional_properties", 84 ] 85 ) 86 87 _dict = self.model_dump( 88 by_alias=True, 89 exclude=excluded_fields, 90 exclude_none=True, 91 ) 92 # puts key-value pairs in additional_properties in the top level 93 if self.additional_properties is not None: 94 for _key, _value in self.additional_properties.items(): 95 _dict[_key] = _value 96 97 return _dict 98 99 @classmethod 100 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 101 """Create an instance of LegalHoldContentItemsResponse from a dict""" 102 if obj is None: 103 return None 104 105 if not isinstance(obj, dict): 106 return cls.model_validate(obj) 107 108 _obj = cls.model_validate({"id": obj.get("id"), "contentId": obj.get("contentId"), "type": obj.get("type")}) 109 # store additional fields in additional_properties 110 for _key in obj.keys(): 111 if _key not in cls.__properties: 112 _obj.additional_properties[_key] = obj.get(_key) 113 114 return _obj
LegalHoldContentItemsResponse
43 @field_validator("id") 44 def id_validate_regular_expression(cls, value): 45 """Validates the regular expression""" 46 if not re.match(r"^[0-9]+$", value): 47 raise ValueError(r"must validate the regular expression /^[0-9]+$/") 48 return value
Validates the regular expression
56 def to_str(self) -> str: 57 """Returns the string representation of the model using alias""" 58 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
60 def to_json(self) -> str: 61 """Returns the JSON representation of the model using alias""" 62 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 63 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
65 @classmethod 66 def from_json(cls, json_str: str) -> Optional[Self]: 67 """Create an instance of LegalHoldContentItemsResponse from a JSON string""" 68 return cls.from_dict(json.loads(json_str))
Create an instance of LegalHoldContentItemsResponse from a JSON string
70 def to_dict(self) -> Dict[str, Any]: 71 """Return the dictionary representation of the model using alias. 72 73 This has the following differences from calling pydantic's 74 `self.model_dump(by_alias=True)`: 75 76 * `None` is only added to the output dict for nullable fields that 77 were set at model initialization. Other fields with value `None` 78 are ignored. 79 * Fields in `self.additional_properties` are added to the output dict. 80 """ 81 excluded_fields: Set[str] = set( 82 [ 83 "additional_properties", 84 ] 85 ) 86 87 _dict = self.model_dump( 88 by_alias=True, 89 exclude=excluded_fields, 90 exclude_none=True, 91 ) 92 # puts key-value pairs in additional_properties in the top level 93 if self.additional_properties is not None: 94 for _key, _value in self.additional_properties.items(): 95 _dict[_key] = _value 96 97 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.
99 @classmethod 100 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 101 """Create an instance of LegalHoldContentItemsResponse from a dict""" 102 if obj is None: 103 return None 104 105 if not isinstance(obj, dict): 106 return cls.model_validate(obj) 107 108 _obj = cls.model_validate({"id": obj.get("id"), "contentId": obj.get("contentId"), "type": obj.get("type")}) 109 # store additional fields in additional_properties 110 for _key in obj.keys(): 111 if _key not in cls.__properties: 112 _obj.additional_properties[_key] = obj.get(_key) 113 114 return _obj
Create an instance of LegalHoldContentItemsResponse 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