miro_api.models.generic_item_cursor_paged

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### Miro Developer Platform concepts - New to the Miro Developer Platform? Interested in learning more about platform concepts?? Read our introduction page and familiarize yourself with the Miro Developer Platform capabilities in a few minutes. ### Getting started with the Miro REST API - Quickstart (video): try the REST API in less than 3 minutes. - Quickstart (article): 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 ### Miro App Examples Clone our Miro App Examples repository to get inspiration, customize, and explore apps built on top of Miro's Developer Platform 2.0.

The version of the OpenAPI document: v2.0 Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.

View Source

  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
 14from __future__ import annotations
 15import pprint
 16import re  # noqa: F401
 17import json
 18
 19from pydantic import BaseModel, Field, StrictInt, StrictStr
 20from typing import Any, ClassVar, Dict, List, Optional
 21from miro_api.models.generic_item import GenericItem
 22from miro_api.models.page_links import PageLinks
 23from typing import Optional, Set
 24from typing_extensions import Self
 25
 26
 27class GenericItemCursorPaged(BaseModel):
 28    """
 29    GenericItemCursorPaged
 30    """  # noqa: E501
 31
 32    data: Optional[List[GenericItem]] = Field(default=None, description="Contains the result data.")
 33    total: Optional[StrictInt] = Field(
 34        default=None,
 35        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).",
 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`.<br>In this example, the response will also return a cursor value that can be used to retrieve the next set of 10 remaining results in the collection.",
 40    )
 41    cursor: Optional[StrictStr] = Field(
 42        default=None,
 43        description="A cursor-paginated method returns a portion of the total set of results based on the `limit` specified and a `cursor` that points to the next portion of the results. To retrieve the next set of results of the collection, set the `cursor` parameter in your next request to the value returned in this parameter.",
 44    )
 45    limit: Optional[StrictInt] = Field(
 46        default=None,
 47        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 that you obtained from the response.",
 48    )
 49    links: Optional[PageLinks] = None
 50    additional_properties: Dict[str, Any] = {}
 51    __properties: ClassVar[List[str]] = ["data", "total", "size", "cursor", "limit", "links"]
 52
 53    model_config = {
 54        "populate_by_name": True,
 55        "validate_assignment": True,
 56        "protected_namespaces": (),
 57    }
 58
 59    def to_str(self) -> str:
 60        """Returns the string representation of the model using alias"""
 61        return pprint.pformat(self.model_dump(by_alias=True))
 62
 63    def to_json(self) -> str:
 64        """Returns the JSON representation of the model using alias"""
 65        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 66        return json.dumps(self.to_dict())
 67
 68    @classmethod
 69    def from_json(cls, json_str: str) -> Optional[Self]:
 70        """Create an instance of GenericItemCursorPaged from a JSON string"""
 71        return cls.from_dict(json.loads(json_str))
 72
 73    def to_dict(self) -> Dict[str, Any]:
 74        """Return the dictionary representation of the model using alias.
 75
 76        This has the following differences from calling pydantic's
 77        `self.model_dump(by_alias=True)`:
 78
 79        * `None` is only added to the output dict for nullable fields that
 80          were set at model initialization. Other fields with value `None`
 81          are ignored.
 82        * Fields in `self.additional_properties` are added to the output dict.
 83        """
 84        excluded_fields: Set[str] = set(
 85            [
 86                "additional_properties",
 87            ]
 88        )
 89
 90        _dict = self.model_dump(
 91            by_alias=True,
 92            exclude=excluded_fields,
 93            exclude_none=True,
 94        )
 95        # override the default output from pydantic by calling `to_dict()` of each item in data (list)
 96        _items = []
 97        if self.data:
 98            for _item in self.data:
 99                if _item:
100                    _items.append(_item.to_dict())
101            _dict["data"] = _items
102        # override the default output from pydantic by calling `to_dict()` of links
103        if self.links:
104            _dict["links"] = self.links.to_dict()
105        # puts key-value pairs in additional_properties in the top level
106        if self.additional_properties is not None:
107            for _key, _value in self.additional_properties.items():
108                _dict[_key] = _value
109
110        return _dict
111
112    @classmethod
113    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
114        """Create an instance of GenericItemCursorPaged from a dict"""
115        if obj is None:
116            return None
117
118        if not isinstance(obj, dict):
119            return cls.model_validate(obj)
120
121        _obj = cls.model_validate(
122            {
123                "data": (
124                    [GenericItem.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None
125                ),
126                "total": obj.get("total"),
127                "size": obj.get("size"),
128                "cursor": obj.get("cursor"),
129                "limit": obj.get("limit"),
130                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
131            }
132        )
133        # store additional fields in additional_properties
134        for _key in obj.keys():
135            if _key not in cls.__properties:
136                _obj.additional_properties[_key] = obj.get(_key)
137
138        return _obj

class GenericItemCursorPaged(pydantic.main.BaseModel): View Source

 28class GenericItemCursorPaged(BaseModel):
 29    """
 30    GenericItemCursorPaged
 31    """  # noqa: E501
 32
 33    data: Optional[List[GenericItem]] = 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 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`.<br>In this example, the response will also return a cursor value that can be used to retrieve the next set of 10 remaining results in the collection.",
 41    )
 42    cursor: Optional[StrictStr] = Field(
 43        default=None,
 44        description="A cursor-paginated method returns a portion of the total set of results based on the `limit` specified and a `cursor` that points to the next portion of the results. To retrieve the next set of results of the collection, set the `cursor` parameter in your next request to the value returned in this parameter.",
 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 `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 that you obtained from the response.",
 49    )
 50    links: Optional[PageLinks] = None
 51    additional_properties: Dict[str, Any] = {}
 52    __properties: ClassVar[List[str]] = ["data", "total", "size", "cursor", "limit", "links"]
 53
 54    model_config = {
 55        "populate_by_name": True,
 56        "validate_assignment": True,
 57        "protected_namespaces": (),
 58    }
 59
 60    def to_str(self) -> str:
 61        """Returns the string representation of the model using alias"""
 62        return pprint.pformat(self.model_dump(by_alias=True))
 63
 64    def to_json(self) -> str:
 65        """Returns the JSON representation of the model using alias"""
 66        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 67        return json.dumps(self.to_dict())
 68
 69    @classmethod
 70    def from_json(cls, json_str: str) -> Optional[Self]:
 71        """Create an instance of GenericItemCursorPaged from a JSON string"""
 72        return cls.from_dict(json.loads(json_str))
 73
 74    def to_dict(self) -> Dict[str, Any]:
 75        """Return the dictionary representation of the model using alias.
 76
 77        This has the following differences from calling pydantic's
 78        `self.model_dump(by_alias=True)`:
 79
 80        * `None` is only added to the output dict for nullable fields that
 81          were set at model initialization. Other fields with value `None`
 82          are ignored.
 83        * Fields in `self.additional_properties` are added to the output dict.
 84        """
 85        excluded_fields: Set[str] = set(
 86            [
 87                "additional_properties",
 88            ]
 89        )
 90
 91        _dict = self.model_dump(
 92            by_alias=True,
 93            exclude=excluded_fields,
 94            exclude_none=True,
 95        )
 96        # override the default output from pydantic by calling `to_dict()` of each item in data (list)
 97        _items = []
 98        if self.data:
 99            for _item in self.data:
100                if _item:
101                    _items.append(_item.to_dict())
102            _dict["data"] = _items
103        # override the default output from pydantic by calling `to_dict()` of links
104        if self.links:
105            _dict["links"] = self.links.to_dict()
106        # puts key-value pairs in additional_properties in the top level
107        if self.additional_properties is not None:
108            for _key, _value in self.additional_properties.items():
109                _dict[_key] = _value
110
111        return _dict
112
113    @classmethod
114    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
115        """Create an instance of GenericItemCursorPaged from a dict"""
116        if obj is None:
117            return None
118
119        if not isinstance(obj, dict):
120            return cls.model_validate(obj)
121
122        _obj = cls.model_validate(
123            {
124                "data": (
125                    [GenericItem.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None
126                ),
127                "total": obj.get("total"),
128                "size": obj.get("size"),
129                "cursor": obj.get("cursor"),
130                "limit": obj.get("limit"),
131                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
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

GenericItemCursorPaged

data: Optional[List[miro_api.models.generic_item.GenericItem]]

total: Optional[Annotated[int, Strict(strict=True)]]

size: Optional[Annotated[int, Strict(strict=True)]]

cursor: Optional[Annotated[str, Strict(strict=True)]]

limit: Optional[Annotated[int, Strict(strict=True)]]

links: Optional[miro_api.models.page_links.PageLinks]

additional_properties: Dict[str, Any]

model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}

def to_str(self) -> str: View Source

60    def to_str(self) -> str:
61        """Returns the string representation of the model using alias"""
62        return pprint.pformat(self.model_dump(by_alias=True))

Returns the string representation of the model using alias

def to_json(self) -> str: View Source

64    def to_json(self) -> str:
65        """Returns the JSON representation of the model using alias"""
66        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
67        return json.dumps(self.to_dict())

Returns the JSON representation of the model using alias

@classmethod

def from_json(cls, json_str: str) -> Optional[typing_extensions.Self]: View Source

69    @classmethod
70    def from_json(cls, json_str: str) -> Optional[Self]:
71        """Create an instance of GenericItemCursorPaged from a JSON string"""
72        return cls.from_dict(json.loads(json_str))

Create an instance of GenericItemCursorPaged from a JSON string

def to_dict(self) -> Dict[str, Any]: View Source

 74    def to_dict(self) -> Dict[str, Any]:
 75        """Return the dictionary representation of the model using alias.
 76
 77        This has the following differences from calling pydantic's
 78        `self.model_dump(by_alias=True)`:
 79
 80        * `None` is only added to the output dict for nullable fields that
 81          were set at model initialization. Other fields with value `None`
 82          are ignored.
 83        * Fields in `self.additional_properties` are added to the output dict.
 84        """
 85        excluded_fields: Set[str] = set(
 86            [
 87                "additional_properties",
 88            ]
 89        )
 90
 91        _dict = self.model_dump(
 92            by_alias=True,
 93            exclude=excluded_fields,
 94            exclude_none=True,
 95        )
 96        # override the default output from pydantic by calling `to_dict()` of each item in data (list)
 97        _items = []
 98        if self.data:
 99            for _item in self.data:
100                if _item:
101                    _items.append(_item.to_dict())
102            _dict["data"] = _items
103        # override the default output from pydantic by calling `to_dict()` of links
104        if self.links:
105            _dict["links"] = self.links.to_dict()
106        # puts key-value pairs in additional_properties in the top level
107        if self.additional_properties is not None:
108            for _key, _value in self.additional_properties.items():
109                _dict[_key] = _value
110
111        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 value None are ignored.
Fields in self.additional_properties are added to the output dict.

@classmethod

def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[typing_extensions.Self]: View Source

113    @classmethod
114    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
115        """Create an instance of GenericItemCursorPaged from a dict"""
116        if obj is None:
117            return None
118
119        if not isinstance(obj, dict):
120            return cls.model_validate(obj)
121
122        _obj = cls.model_validate(
123            {
124                "data": (
125                    [GenericItem.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None
126                ),
127                "total": obj.get("total"),
128                "size": obj.get("size"),
129                "cursor": obj.get("cursor"),
130                "limit": obj.get("limit"),
131                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
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

Create an instance of GenericItemCursorPaged from a dict

def model_post_init(self: pydantic.main.BaseModel, __context: Any) -> None: View Source

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.

model_fields = {'data': FieldInfo(annotation=Union[List[miro_api.models.generic_item.GenericItem], NoneType], required=False, description='Contains the result data.'), 'total': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, 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).'), 'size': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, 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`.<br>In this example, the response will also return a cursor value that can be used to retrieve the next set of 10 remaining results in the collection.'), 'cursor': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='A cursor-paginated method returns a portion of the total set of results based on the `limit` specified and a `cursor` that points to the next portion of the results. To retrieve the next set of results of the collection, set the `cursor` parameter in your next request to the value returned in this parameter.'), 'limit': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, 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 that you obtained from the response.'), 'links': FieldInfo(annotation=Union[PageLinks, NoneType], required=False), 'additional_properties': FieldInfo(annotation=Dict[str, Any], required=False, default={})}

model_computed_fields = {}

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