miro_api.models.organization_members_search_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, StrictInt, StrictStr 21from typing import Any, ClassVar, Dict, List, Optional 22from miro_api.models.organization_member import OrganizationMember 23from typing import Optional, Set 24from typing_extensions import Self 25 26 27class OrganizationMembersSearchResponse(BaseModel): 28 """ 29 Response for query by cursor and filter parameters 30 """ # noqa: E501 31 32 limit: Optional[StrictInt] = Field( 33 default=None, 34 description="Maximum number of results returned based on the limit specified in the request. For example, if there are 20 results, the request has no cursor value, and the limit is set to 20, the size of the results will be 20. The rest of the results will not be returned. To retrieve the rest of the results, you must make another request and set the appropriate value for the cursor parameter value.", 35 ) 36 size: Optional[StrictInt] = Field( 37 default=None, 38 description="Number of results returned in the response considering the cursor and the limit values sent in the request. For example, if there are 20 results, the request does not have a cursor value, and the limit set to 10, the size of the results will be 10.", 39 ) 40 data: Optional[List[OrganizationMember]] = None 41 cursor: Optional[StrictStr] = Field( 42 default=None, 43 description="Indicator of the position of the next page of the result. To retrieve the next page, make another query setting its cursor field to the value returned by the current query. If the value is empty, there are no more pages to fetch.", 44 ) 45 type: Optional[StrictStr] = Field(default="cursor-list", description="Type of the object returned.") 46 additional_properties: Dict[str, Any] = {} 47 __properties: ClassVar[List[str]] = ["limit", "size", "data", "cursor", "type"] 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 OrganizationMembersSearchResponse 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 # override the default output from pydantic by calling `to_dict()` of each item in data (list) 92 _items = [] 93 if self.data: 94 for _item in self.data: 95 if _item: 96 _items.append(_item.to_dict()) 97 _dict["data"] = _items 98 # puts key-value pairs in additional_properties in the top level 99 if self.additional_properties is not None: 100 for _key, _value in self.additional_properties.items(): 101 _dict[_key] = _value 102 103 return _dict 104 105 @classmethod 106 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 107 """Create an instance of OrganizationMembersSearchResponse from a dict""" 108 if obj is None: 109 return None 110 111 if not isinstance(obj, dict): 112 return cls.model_validate(obj) 113 114 _obj = cls.model_validate( 115 { 116 "limit": obj.get("limit"), 117 "size": obj.get("size"), 118 "data": ( 119 [OrganizationMember.from_dict(_item) for _item in obj["data"]] 120 if obj.get("data") is not None 121 else None 122 ), 123 "cursor": obj.get("cursor"), 124 "type": obj.get("type") if obj.get("type") is not None else "cursor-list", 125 } 126 ) 127 # store additional fields in additional_properties 128 for _key in obj.keys(): 129 if _key not in cls.__properties: 130 _obj.additional_properties[_key] = obj.get(_key) 131 132 return _obj
28class OrganizationMembersSearchResponse(BaseModel): 29 """ 30 Response for query by cursor and filter parameters 31 """ # noqa: E501 32 33 limit: Optional[StrictInt] = Field( 34 default=None, 35 description="Maximum number of results returned based on the limit specified in the request. For example, if there are 20 results, the request has no cursor value, and the limit is set to 20, the size of the results will be 20. The rest of the results will not be returned. To retrieve the rest of the results, you must make another request and set the appropriate value for the cursor parameter value.", 36 ) 37 size: Optional[StrictInt] = Field( 38 default=None, 39 description="Number of results returned in the response considering the cursor and the limit values sent in the request. For example, if there are 20 results, the request does not have a cursor value, and the limit set to 10, the size of the results will be 10.", 40 ) 41 data: Optional[List[OrganizationMember]] = None 42 cursor: Optional[StrictStr] = Field( 43 default=None, 44 description="Indicator of the position of the next page of the result. To retrieve the next page, make another query setting its cursor field to the value returned by the current query. If the value is empty, there are no more pages to fetch.", 45 ) 46 type: Optional[StrictStr] = Field(default="cursor-list", description="Type of the object returned.") 47 additional_properties: Dict[str, Any] = {} 48 __properties: ClassVar[List[str]] = ["limit", "size", "data", "cursor", "type"] 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 OrganizationMembersSearchResponse 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 # override the default output from pydantic by calling `to_dict()` of each item in data (list) 93 _items = [] 94 if self.data: 95 for _item in self.data: 96 if _item: 97 _items.append(_item.to_dict()) 98 _dict["data"] = _items 99 # puts key-value pairs in additional_properties in the top level 100 if self.additional_properties is not None: 101 for _key, _value in self.additional_properties.items(): 102 _dict[_key] = _value 103 104 return _dict 105 106 @classmethod 107 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 108 """Create an instance of OrganizationMembersSearchResponse from a dict""" 109 if obj is None: 110 return None 111 112 if not isinstance(obj, dict): 113 return cls.model_validate(obj) 114 115 _obj = cls.model_validate( 116 { 117 "limit": obj.get("limit"), 118 "size": obj.get("size"), 119 "data": ( 120 [OrganizationMember.from_dict(_item) for _item in obj["data"]] 121 if obj.get("data") is not None 122 else None 123 ), 124 "cursor": obj.get("cursor"), 125 "type": obj.get("type") if obj.get("type") is not None else "cursor-list", 126 } 127 ) 128 # store additional fields in additional_properties 129 for _key in obj.keys(): 130 if _key not in cls.__properties: 131 _obj.additional_properties[_key] = obj.get(_key) 132 133 return _obj
Response for query by cursor and filter parameters
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 OrganizationMembersSearchResponse from a JSON string""" 68 return cls.from_dict(json.loads(json_str))
Create an instance of OrganizationMembersSearchResponse 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 # override the default output from pydantic by calling `to_dict()` of each item in data (list) 93 _items = [] 94 if self.data: 95 for _item in self.data: 96 if _item: 97 _items.append(_item.to_dict()) 98 _dict["data"] = _items 99 # puts key-value pairs in additional_properties in the top level 100 if self.additional_properties is not None: 101 for _key, _value in self.additional_properties.items(): 102 _dict[_key] = _value 103 104 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.
106 @classmethod 107 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 108 """Create an instance of OrganizationMembersSearchResponse from a dict""" 109 if obj is None: 110 return None 111 112 if not isinstance(obj, dict): 113 return cls.model_validate(obj) 114 115 _obj = cls.model_validate( 116 { 117 "limit": obj.get("limit"), 118 "size": obj.get("size"), 119 "data": ( 120 [OrganizationMember.from_dict(_item) for _item in obj["data"]] 121 if obj.get("data") is not None 122 else None 123 ), 124 "cursor": obj.get("cursor"), 125 "type": obj.get("type") if obj.get("type") is not None else "cursor-list", 126 } 127 ) 128 # store additional fields in additional_properties 129 for _key in obj.keys(): 130 if _key not in cls.__properties: 131 _obj.additional_properties[_key] = obj.get(_key) 132 133 return _obj
Create an instance of OrganizationMembersSearchResponse 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