miro_api.models.generic_item_cursor_paged_platform_containers

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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.generic_item import GenericItem
 23from miro_api.models.page_links import PageLinks
 24from typing import Optional, Set
 25from typing_extensions import Self
 26
 27
 28class GenericItemCursorPagedPlatformContainers(BaseModel):
 29    """
 30    GenericItemCursorPagedPlatformContainers
 31    """  # noqa: E501
 32
 33    data: Optional[List[GenericItem]] = Field(default=None, description="Contains the result data.")
 34    total: Optional[StrictInt] = None
 35    size: Optional[StrictInt] = Field(
 36        default=None,
 37        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.",
 38    )
 39    cursor: Optional[StrictStr] = Field(
 40        default=None,
 41        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.",
 42    )
 43    limit: Optional[StrictInt] = Field(
 44        default=None,
 45        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.",
 46    )
 47    links: Optional[PageLinks] = None
 48    additional_properties: Dict[str, Any] = {}
 49    __properties: ClassVar[List[str]] = ["data", "total", "size", "cursor", "limit", "links"]
 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 GenericItemCursorPagedPlatformContainers 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 each item in data (list)
 94        _items = []
 95        if self.data:
 96            for _item in self.data:
 97                if _item:
 98                    _items.append(_item.to_dict())
 99            _dict["data"] = _items
100        # override the default output from pydantic by calling `to_dict()` of links
101        if self.links:
102            _dict["links"] = self.links.to_dict()
103        # puts key-value pairs in additional_properties in the top level
104        if self.additional_properties is not None:
105            for _key, _value in self.additional_properties.items():
106                _dict[_key] = _value
107
108        return _dict
109
110    @classmethod
111    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
112        """Create an instance of GenericItemCursorPagedPlatformContainers from a dict"""
113        if obj is None:
114            return None
115
116        if not isinstance(obj, dict):
117            return cls.model_validate(obj)
118
119        _obj = cls.model_validate(
120            {
121                "data": (
122                    [GenericItem.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None
123                ),
124                "total": obj.get("total"),
125                "size": obj.get("size"),
126                "cursor": obj.get("cursor"),
127                "limit": obj.get("limit"),
128                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
129            }
130        )
131        # store additional fields in additional_properties
132        for _key in obj.keys():
133            if _key not in cls.__properties:
134                _obj.additional_properties[_key] = obj.get(_key)
135
136        return _obj
class GenericItemCursorPagedPlatformContainers(pydantic.main.BaseModel):
 29class GenericItemCursorPagedPlatformContainers(BaseModel):
 30    """
 31    GenericItemCursorPagedPlatformContainers
 32    """  # noqa: E501
 33
 34    data: Optional[List[GenericItem]] = Field(default=None, description="Contains the result data.")
 35    total: Optional[StrictInt] = None
 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`.<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.",
 39    )
 40    cursor: Optional[StrictStr] = Field(
 41        default=None,
 42        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.",
 43    )
 44    limit: Optional[StrictInt] = Field(
 45        default=None,
 46        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.",
 47    )
 48    links: Optional[PageLinks] = None
 49    additional_properties: Dict[str, Any] = {}
 50    __properties: ClassVar[List[str]] = ["data", "total", "size", "cursor", "limit", "links"]
 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 GenericItemCursorPagedPlatformContainers 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 each item in data (list)
 95        _items = []
 96        if self.data:
 97            for _item in self.data:
 98                if _item:
 99                    _items.append(_item.to_dict())
100            _dict["data"] = _items
101        # override the default output from pydantic by calling `to_dict()` of links
102        if self.links:
103            _dict["links"] = self.links.to_dict()
104        # puts key-value pairs in additional_properties in the top level
105        if self.additional_properties is not None:
106            for _key, _value in self.additional_properties.items():
107                _dict[_key] = _value
108
109        return _dict
110
111    @classmethod
112    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
113        """Create an instance of GenericItemCursorPagedPlatformContainers from a dict"""
114        if obj is None:
115            return None
116
117        if not isinstance(obj, dict):
118            return cls.model_validate(obj)
119
120        _obj = cls.model_validate(
121            {
122                "data": (
123                    [GenericItem.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None
124                ),
125                "total": obj.get("total"),
126                "size": obj.get("size"),
127                "cursor": obj.get("cursor"),
128                "limit": obj.get("limit"),
129                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
130            }
131        )
132        # store additional fields in additional_properties
133        for _key in obj.keys():
134            if _key not in cls.__properties:
135                _obj.additional_properties[_key] = obj.get(_key)
136
137        return _obj

GenericItemCursorPagedPlatformContainers

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)]]
additional_properties: Dict[str, Any]
model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}
def to_str(self) -> str:
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

def to_json(self) -> str:
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

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

Create an instance of GenericItemCursorPagedPlatformContainers from a JSON string

def to_dict(self) -> Dict[str, Any]:
 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 each item in data (list)
 95        _items = []
 96        if self.data:
 97            for _item in self.data:
 98                if _item:
 99                    _items.append(_item.to_dict())
100            _dict["data"] = _items
101        # override the default output from pydantic by calling `to_dict()` of links
102        if self.links:
103            _dict["links"] = self.links.to_dict()
104        # puts key-value pairs in additional_properties in the top level
105        if self.additional_properties is not None:
106            for _key, _value in self.additional_properties.items():
107                _dict[_key] = _value
108
109        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]:
111    @classmethod
112    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
113        """Create an instance of GenericItemCursorPagedPlatformContainers from a dict"""
114        if obj is None:
115            return None
116
117        if not isinstance(obj, dict):
118            return cls.model_validate(obj)
119
120        _obj = cls.model_validate(
121            {
122                "data": (
123                    [GenericItem.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None
124                ),
125                "total": obj.get("total"),
126                "size": obj.get("size"),
127                "cursor": obj.get("cursor"),
128                "limit": obj.get("limit"),
129                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
130            }
131        )
132        # store additional fields in additional_properties
133        for _key in obj.keys():
134            if _key not in cls.__properties:
135                _obj.additional_properties[_key] = obj.get(_key)
136
137        return _obj

Create an instance of GenericItemCursorPagedPlatformContainers from a dict

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