miro_api.models.boards_paged_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.board import Board 23from miro_api.models.page_links import PageLinks 24from typing import Optional, Set 25from typing_extensions import Self 26 27 28class BoardsPagedResponse(BaseModel): 29 """ 30 BoardsPagedResponse 31 """ # noqa: E501 32 33 data: Optional[List[Board]] = Field(default=None, description="Contains the result data.") 34 total: Optional[StrictInt] = Field( 35 default=None, 36 description="Total number of results available. If the value of the `total` parameter is higher than the value of the `size` parameter, this means that there are more results that you can retrieve. To retrieve more results, you can make another request and set the `offset` value accordingly. For example, if there are `30` results, and the request has the `offset` set to `0` and the `limit` set to `20`, the `size` parameter will return `20` and the `total` parameter will return `30`. This means that there are 9 more results to retrieve (as the offset is zero-based).", 37 ) 38 size: Optional[StrictInt] = Field( 39 default=None, 40 description="Number of results returned in the response. The `size` is the number of results returned considering the `offset` and the `limit` values sent in the request. For example, if there are `30` results, and the request has the offset set to `0` and the `limit` set to `20`, the `size` of the results will be `20`.<br>If there are `10` results, and the request has the offset set to `0` and the `limit` set to `20`, the `size` of the results will be `10`.<br>If there are `30` results, and the request has the offset set to `28` and the `limit` set to `20`, the `size` of the results will be `2` as the `offset` is the zero-based offset of the first item in the collection.", 41 ) 42 offset: Optional[StrictInt] = Field( 43 default=None, 44 description="Zero-based index of the first item in the collection. For example, If there are `30` results, and the request has the offset set to `28`, the response will return `2` results.", 45 ) 46 limit: Optional[StrictInt] = Field( 47 default=None, 48 description="Maximum number of results returned based on the `limit` specified in the request. For example, if there are `30` results, and the request has the offset set to `0` and the `limit` 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 offset parameter. In this example, you will set the offset parameter to 20 as the offset is zero-based. ", 49 ) 50 links: Optional[PageLinks] = None 51 type: Optional[StrictStr] = None 52 additional_properties: Dict[str, Any] = {} 53 __properties: ClassVar[List[str]] = ["data", "total", "size", "offset", "limit", "links", "type"] 54 55 model_config = { 56 "populate_by_name": True, 57 "validate_assignment": True, 58 "protected_namespaces": (), 59 } 60 61 def to_str(self) -> str: 62 """Returns the string representation of the model using alias""" 63 return pprint.pformat(self.model_dump(by_alias=True)) 64 65 def to_json(self) -> str: 66 """Returns the JSON representation of the model using alias""" 67 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 68 return json.dumps(self.to_dict()) 69 70 @classmethod 71 def from_json(cls, json_str: str) -> Optional[Self]: 72 """Create an instance of BoardsPagedResponse from a JSON string""" 73 return cls.from_dict(json.loads(json_str)) 74 75 def to_dict(self) -> Dict[str, Any]: 76 """Return the dictionary representation of the model using alias. 77 78 This has the following differences from calling pydantic's 79 `self.model_dump(by_alias=True)`: 80 81 * `None` is only added to the output dict for nullable fields that 82 were set at model initialization. Other fields with value `None` 83 are ignored. 84 * Fields in `self.additional_properties` are added to the output dict. 85 """ 86 excluded_fields: Set[str] = set( 87 [ 88 "additional_properties", 89 ] 90 ) 91 92 _dict = self.model_dump( 93 by_alias=True, 94 exclude=excluded_fields, 95 exclude_none=True, 96 ) 97 # override the default output from pydantic by calling `to_dict()` of each item in data (list) 98 _items = [] 99 if self.data: 100 for _item in self.data: 101 if _item: 102 _items.append(_item.to_dict()) 103 _dict["data"] = _items 104 # override the default output from pydantic by calling `to_dict()` of links 105 if self.links: 106 _dict["links"] = self.links.to_dict() 107 # puts key-value pairs in additional_properties in the top level 108 if self.additional_properties is not None: 109 for _key, _value in self.additional_properties.items(): 110 _dict[_key] = _value 111 112 return _dict 113 114 @classmethod 115 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 116 """Create an instance of BoardsPagedResponse from a dict""" 117 if obj is None: 118 return None 119 120 if not isinstance(obj, dict): 121 return cls.model_validate(obj) 122 123 _obj = cls.model_validate( 124 { 125 "data": [Board.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None, 126 "total": obj.get("total"), 127 "size": obj.get("size"), 128 "offset": obj.get("offset"), 129 "limit": obj.get("limit"), 130 "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None, 131 "type": obj.get("type"), 132 } 133 ) 134 # store additional fields in additional_properties 135 for _key in obj.keys(): 136 if _key not in cls.__properties: 137 _obj.additional_properties[_key] = obj.get(_key) 138 139 return _obj
29class BoardsPagedResponse(BaseModel): 30 """ 31 BoardsPagedResponse 32 """ # noqa: E501 33 34 data: Optional[List[Board]] = Field(default=None, description="Contains the result data.") 35 total: Optional[StrictInt] = Field( 36 default=None, 37 description="Total number of results available. If the value of the `total` parameter is higher than the value of the `size` parameter, this means that there are more results that you can retrieve. To retrieve more results, you can make another request and set the `offset` value accordingly. For example, if there are `30` results, and the request has the `offset` set to `0` and the `limit` set to `20`, the `size` parameter will return `20` and the `total` parameter will return `30`. This means that there are 9 more results to retrieve (as the offset is zero-based).", 38 ) 39 size: Optional[StrictInt] = Field( 40 default=None, 41 description="Number of results returned in the response. The `size` is the number of results returned considering the `offset` and the `limit` values sent in the request. For example, if there are `30` results, and the request has the offset set to `0` and the `limit` set to `20`, the `size` of the results will be `20`.<br>If there are `10` results, and the request has the offset set to `0` and the `limit` set to `20`, the `size` of the results will be `10`.<br>If there are `30` results, and the request has the offset set to `28` and the `limit` set to `20`, the `size` of the results will be `2` as the `offset` is the zero-based offset of the first item in the collection.", 42 ) 43 offset: Optional[StrictInt] = Field( 44 default=None, 45 description="Zero-based index of the first item in the collection. For example, If there are `30` results, and the request has the offset set to `28`, the response will return `2` results.", 46 ) 47 limit: Optional[StrictInt] = Field( 48 default=None, 49 description="Maximum number of results returned based on the `limit` specified in the request. For example, if there are `30` results, and the request has the offset set to `0` and the `limit` 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 offset parameter. In this example, you will set the offset parameter to 20 as the offset is zero-based. ", 50 ) 51 links: Optional[PageLinks] = None 52 type: Optional[StrictStr] = None 53 additional_properties: Dict[str, Any] = {} 54 __properties: ClassVar[List[str]] = ["data", "total", "size", "offset", "limit", "links", "type"] 55 56 model_config = { 57 "populate_by_name": True, 58 "validate_assignment": True, 59 "protected_namespaces": (), 60 } 61 62 def to_str(self) -> str: 63 """Returns the string representation of the model using alias""" 64 return pprint.pformat(self.model_dump(by_alias=True)) 65 66 def to_json(self) -> str: 67 """Returns the JSON representation of the model using alias""" 68 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 69 return json.dumps(self.to_dict()) 70 71 @classmethod 72 def from_json(cls, json_str: str) -> Optional[Self]: 73 """Create an instance of BoardsPagedResponse from a JSON string""" 74 return cls.from_dict(json.loads(json_str)) 75 76 def to_dict(self) -> Dict[str, Any]: 77 """Return the dictionary representation of the model using alias. 78 79 This has the following differences from calling pydantic's 80 `self.model_dump(by_alias=True)`: 81 82 * `None` is only added to the output dict for nullable fields that 83 were set at model initialization. Other fields with value `None` 84 are ignored. 85 * Fields in `self.additional_properties` are added to the output dict. 86 """ 87 excluded_fields: Set[str] = set( 88 [ 89 "additional_properties", 90 ] 91 ) 92 93 _dict = self.model_dump( 94 by_alias=True, 95 exclude=excluded_fields, 96 exclude_none=True, 97 ) 98 # override the default output from pydantic by calling `to_dict()` of each item in data (list) 99 _items = [] 100 if self.data: 101 for _item in self.data: 102 if _item: 103 _items.append(_item.to_dict()) 104 _dict["data"] = _items 105 # override the default output from pydantic by calling `to_dict()` of links 106 if self.links: 107 _dict["links"] = self.links.to_dict() 108 # puts key-value pairs in additional_properties in the top level 109 if self.additional_properties is not None: 110 for _key, _value in self.additional_properties.items(): 111 _dict[_key] = _value 112 113 return _dict 114 115 @classmethod 116 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 117 """Create an instance of BoardsPagedResponse from a dict""" 118 if obj is None: 119 return None 120 121 if not isinstance(obj, dict): 122 return cls.model_validate(obj) 123 124 _obj = cls.model_validate( 125 { 126 "data": [Board.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None, 127 "total": obj.get("total"), 128 "size": obj.get("size"), 129 "offset": obj.get("offset"), 130 "limit": obj.get("limit"), 131 "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None, 132 "type": obj.get("type"), 133 } 134 ) 135 # store additional fields in additional_properties 136 for _key in obj.keys(): 137 if _key not in cls.__properties: 138 _obj.additional_properties[_key] = obj.get(_key) 139 140 return _obj
BoardsPagedResponse
62 def to_str(self) -> str: 63 """Returns the string representation of the model using alias""" 64 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
66 def to_json(self) -> str: 67 """Returns the JSON representation of the model using alias""" 68 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 69 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
71 @classmethod 72 def from_json(cls, json_str: str) -> Optional[Self]: 73 """Create an instance of BoardsPagedResponse from a JSON string""" 74 return cls.from_dict(json.loads(json_str))
Create an instance of BoardsPagedResponse from a JSON string
76 def to_dict(self) -> Dict[str, Any]: 77 """Return the dictionary representation of the model using alias. 78 79 This has the following differences from calling pydantic's 80 `self.model_dump(by_alias=True)`: 81 82 * `None` is only added to the output dict for nullable fields that 83 were set at model initialization. Other fields with value `None` 84 are ignored. 85 * Fields in `self.additional_properties` are added to the output dict. 86 """ 87 excluded_fields: Set[str] = set( 88 [ 89 "additional_properties", 90 ] 91 ) 92 93 _dict = self.model_dump( 94 by_alias=True, 95 exclude=excluded_fields, 96 exclude_none=True, 97 ) 98 # override the default output from pydantic by calling `to_dict()` of each item in data (list) 99 _items = [] 100 if self.data: 101 for _item in self.data: 102 if _item: 103 _items.append(_item.to_dict()) 104 _dict["data"] = _items 105 # override the default output from pydantic by calling `to_dict()` of links 106 if self.links: 107 _dict["links"] = self.links.to_dict() 108 # puts key-value pairs in additional_properties in the top level 109 if self.additional_properties is not None: 110 for _key, _value in self.additional_properties.items(): 111 _dict[_key] = _value 112 113 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.
115 @classmethod 116 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 117 """Create an instance of BoardsPagedResponse from a dict""" 118 if obj is None: 119 return None 120 121 if not isinstance(obj, dict): 122 return cls.model_validate(obj) 123 124 _obj = cls.model_validate( 125 { 126 "data": [Board.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None, 127 "total": obj.get("total"), 128 "size": obj.get("size"), 129 "offset": obj.get("offset"), 130 "limit": obj.get("limit"), 131 "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None, 132 "type": obj.get("type"), 133 } 134 ) 135 # store additional fields in additional_properties 136 for _key in obj.keys(): 137 if _key not in cls.__properties: 138 _obj.additional_properties[_key] = obj.get(_key) 139 140 return _obj
Create an instance of BoardsPagedResponse 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