miro_api.models.connectors_cursor_paged

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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.

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
 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.connector_with_links import ConnectorWithLinks
 23from miro_api.models.page_links import PageLinks
 24from typing import Optional, Set
 25from typing_extensions import Self
 26
 27
 28class ConnectorsCursorPaged(BaseModel):
 29    """
 30    ConnectorsCursorPaged
 31    """  # noqa: E501
 32
 33    cursor: Optional[StrictStr] = Field(
 34        default=None,
 35        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.",
 36    )
 37    data: Optional[List[ConnectorWithLinks]] = Field(default=None, description="Contains the result data.")
 38    limit: Optional[StrictInt] = Field(
 39        default=None,
 40        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.",
 41    )
 42    links: Optional[PageLinks] = None
 43    size: Optional[StrictInt] = Field(
 44        default=None,
 45        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.",
 46    )
 47    total: Optional[StrictInt] = None
 48    additional_properties: Dict[str, Any] = {}
 49    __properties: ClassVar[List[str]] = ["cursor", "data", "limit", "links", "size", "total"]
 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 ConnectorsCursorPaged 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 ConnectorsCursorPaged 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                "cursor": obj.get("cursor"),
122                "data": (
123                    [ConnectorWithLinks.from_dict(_item) for _item in obj["data"]]
124                    if obj.get("data") is not None
125                    else None
126                ),
127                "limit": obj.get("limit"),
128                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
129                "size": obj.get("size"),
130                "total": obj.get("total"),
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 ConnectorsCursorPaged(pydantic.main.BaseModel): View Source

 29class ConnectorsCursorPaged(BaseModel):
 30    """
 31    ConnectorsCursorPaged
 32    """  # noqa: E501
 33
 34    cursor: Optional[StrictStr] = Field(
 35        default=None,
 36        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.",
 37    )
 38    data: Optional[List[ConnectorWithLinks]] = Field(default=None, description="Contains the result data.")
 39    limit: Optional[StrictInt] = Field(
 40        default=None,
 41        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.",
 42    )
 43    links: Optional[PageLinks] = None
 44    size: Optional[StrictInt] = Field(
 45        default=None,
 46        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.",
 47    )
 48    total: Optional[StrictInt] = None
 49    additional_properties: Dict[str, Any] = {}
 50    __properties: ClassVar[List[str]] = ["cursor", "data", "limit", "links", "size", "total"]
 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 ConnectorsCursorPaged 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 ConnectorsCursorPaged 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                "cursor": obj.get("cursor"),
123                "data": (
124                    [ConnectorWithLinks.from_dict(_item) for _item in obj["data"]]
125                    if obj.get("data") is not None
126                    else None
127                ),
128                "limit": obj.get("limit"),
129                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
130                "size": obj.get("size"),
131                "total": obj.get("total"),
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

ConnectorsCursorPaged

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

data: Optional[List[miro_api.models.connector_with_links.ConnectorWithLinks]]

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

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

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

total: 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: View Source

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: View Source

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]: View Source

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

Create an instance of ConnectorsCursorPaged from a JSON string

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

 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]: View Source

111    @classmethod
112    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
113        """Create an instance of ConnectorsCursorPaged 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                "cursor": obj.get("cursor"),
123                "data": (
124                    [ConnectorWithLinks.from_dict(_item) for _item in obj["data"]]
125                    if obj.get("data") is not None
126                    else None
127                ),
128                "limit": obj.get("limit"),
129                "links": PageLinks.from_dict(obj["links"]) if obj.get("links") is not None else None,
130                "size": obj.get("size"),
131                "total": obj.get("total"),
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 ConnectorsCursorPaged 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 = {'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.'), 'data': FieldInfo(annotation=Union[List[miro_api.models.connector_with_links.ConnectorWithLinks], NoneType], required=False, description='Contains the result data.'), '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), '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.'), 'total': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], 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