miro_api.models.document_data_platform_file_upload

Miro Developer Platform

### 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.

  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, StrictStr
 21from typing import Any, ClassVar, Dict, List, Optional
 22from typing import Optional, Set
 23from typing_extensions import Self
 24
 25
 26class DocumentDataPlatformFileUpload(BaseModel):
 27    """
 28    DocumentDataPlatformFileUpload
 29    """  # noqa: E501
 30
 31    document_url: Optional[StrictStr] = Field(
 32        default=None,
 33        description="The URL to download the resource. You must use your access token to access the URL. The URL contains the `redirect` parameter to control the request execution. `redirect`: By default, the `redirect` parameter is set to `false` and the resource object containing the URL and the resource type is returned with a 200 OK HTTP code. This URL is valid for 60 seconds. You can use this URL to retrieve the resource file. If the `redirect` parameter is set to `true`, a 307 TEMPORARY_REDIRECT HTTP response is returned. If you follow HTTP 3xx responses as redirects, you will automatically be redirected to the resource file and the content type returned is `application/octet-stream`.",
 34        alias="documentUrl",
 35    )
 36    title: Optional[StrictStr] = Field(default=None, description="A short text header to identify the document.")
 37    additional_properties: Dict[str, Any] = {}
 38    __properties: ClassVar[List[str]] = ["documentUrl", "title"]
 39
 40    model_config = {
 41        "populate_by_name": True,
 42        "validate_assignment": True,
 43        "protected_namespaces": (),
 44    }
 45
 46    def to_str(self) -> str:
 47        """Returns the string representation of the model using alias"""
 48        return pprint.pformat(self.model_dump(by_alias=True))
 49
 50    def to_json(self) -> str:
 51        """Returns the JSON representation of the model using alias"""
 52        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 53        return json.dumps(self.to_dict())
 54
 55    @classmethod
 56    def from_json(cls, json_str: str) -> Optional[Self]:
 57        """Create an instance of DocumentDataPlatformFileUpload from a JSON string"""
 58        return cls.from_dict(json.loads(json_str))
 59
 60    def to_dict(self) -> Dict[str, Any]:
 61        """Return the dictionary representation of the model using alias.
 62
 63        This has the following differences from calling pydantic's
 64        `self.model_dump(by_alias=True)`:
 65
 66        * `None` is only added to the output dict for nullable fields that
 67          were set at model initialization. Other fields with value `None`
 68          are ignored.
 69        * Fields in `self.additional_properties` are added to the output dict.
 70        """
 71        excluded_fields: Set[str] = set(
 72            [
 73                "additional_properties",
 74            ]
 75        )
 76
 77        _dict = self.model_dump(
 78            by_alias=True,
 79            exclude=excluded_fields,
 80            exclude_none=True,
 81        )
 82        # puts key-value pairs in additional_properties in the top level
 83        if self.additional_properties is not None:
 84            for _key, _value in self.additional_properties.items():
 85                _dict[_key] = _value
 86
 87        return _dict
 88
 89    @classmethod
 90    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 91        """Create an instance of DocumentDataPlatformFileUpload from a dict"""
 92        if obj is None:
 93            return None
 94
 95        if not isinstance(obj, dict):
 96            return cls.model_validate(obj)
 97
 98        _obj = cls.model_validate({"documentUrl": obj.get("documentUrl"), "title": obj.get("title")})
 99        # store additional fields in additional_properties
100        for _key in obj.keys():
101            if _key not in cls.__properties:
102                _obj.additional_properties[_key] = obj.get(_key)
103
104        return _obj
class DocumentDataPlatformFileUpload(pydantic.main.BaseModel):
 27class DocumentDataPlatformFileUpload(BaseModel):
 28    """
 29    DocumentDataPlatformFileUpload
 30    """  # noqa: E501
 31
 32    document_url: Optional[StrictStr] = Field(
 33        default=None,
 34        description="The URL to download the resource. You must use your access token to access the URL. The URL contains the `redirect` parameter to control the request execution. `redirect`: By default, the `redirect` parameter is set to `false` and the resource object containing the URL and the resource type is returned with a 200 OK HTTP code. This URL is valid for 60 seconds. You can use this URL to retrieve the resource file. If the `redirect` parameter is set to `true`, a 307 TEMPORARY_REDIRECT HTTP response is returned. If you follow HTTP 3xx responses as redirects, you will automatically be redirected to the resource file and the content type returned is `application/octet-stream`.",
 35        alias="documentUrl",
 36    )
 37    title: Optional[StrictStr] = Field(default=None, description="A short text header to identify the document.")
 38    additional_properties: Dict[str, Any] = {}
 39    __properties: ClassVar[List[str]] = ["documentUrl", "title"]
 40
 41    model_config = {
 42        "populate_by_name": True,
 43        "validate_assignment": True,
 44        "protected_namespaces": (),
 45    }
 46
 47    def to_str(self) -> str:
 48        """Returns the string representation of the model using alias"""
 49        return pprint.pformat(self.model_dump(by_alias=True))
 50
 51    def to_json(self) -> str:
 52        """Returns the JSON representation of the model using alias"""
 53        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
 54        return json.dumps(self.to_dict())
 55
 56    @classmethod
 57    def from_json(cls, json_str: str) -> Optional[Self]:
 58        """Create an instance of DocumentDataPlatformFileUpload from a JSON string"""
 59        return cls.from_dict(json.loads(json_str))
 60
 61    def to_dict(self) -> Dict[str, Any]:
 62        """Return the dictionary representation of the model using alias.
 63
 64        This has the following differences from calling pydantic's
 65        `self.model_dump(by_alias=True)`:
 66
 67        * `None` is only added to the output dict for nullable fields that
 68          were set at model initialization. Other fields with value `None`
 69          are ignored.
 70        * Fields in `self.additional_properties` are added to the output dict.
 71        """
 72        excluded_fields: Set[str] = set(
 73            [
 74                "additional_properties",
 75            ]
 76        )
 77
 78        _dict = self.model_dump(
 79            by_alias=True,
 80            exclude=excluded_fields,
 81            exclude_none=True,
 82        )
 83        # puts key-value pairs in additional_properties in the top level
 84        if self.additional_properties is not None:
 85            for _key, _value in self.additional_properties.items():
 86                _dict[_key] = _value
 87
 88        return _dict
 89
 90    @classmethod
 91    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 92        """Create an instance of DocumentDataPlatformFileUpload from a dict"""
 93        if obj is None:
 94            return None
 95
 96        if not isinstance(obj, dict):
 97            return cls.model_validate(obj)
 98
 99        _obj = cls.model_validate({"documentUrl": obj.get("documentUrl"), "title": obj.get("title")})
100        # store additional fields in additional_properties
101        for _key in obj.keys():
102            if _key not in cls.__properties:
103                _obj.additional_properties[_key] = obj.get(_key)
104
105        return _obj

DocumentDataPlatformFileUpload

document_url: Optional[Annotated[str, Strict(strict=True)]]
title: Optional[Annotated[str, Strict(strict=True)]]
additional_properties: Dict[str, Any]
model_config = {'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}
def to_str(self) -> str:
47    def to_str(self) -> str:
48        """Returns the string representation of the model using alias"""
49        return pprint.pformat(self.model_dump(by_alias=True))

Returns the string representation of the model using alias

def to_json(self) -> str:
51    def to_json(self) -> str:
52        """Returns the JSON representation of the model using alias"""
53        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
54        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]:
56    @classmethod
57    def from_json(cls, json_str: str) -> Optional[Self]:
58        """Create an instance of DocumentDataPlatformFileUpload from a JSON string"""
59        return cls.from_dict(json.loads(json_str))

Create an instance of DocumentDataPlatformFileUpload from a JSON string

def to_dict(self) -> Dict[str, Any]:
61    def to_dict(self) -> Dict[str, Any]:
62        """Return the dictionary representation of the model using alias.
63
64        This has the following differences from calling pydantic's
65        `self.model_dump(by_alias=True)`:
66
67        * `None` is only added to the output dict for nullable fields that
68          were set at model initialization. Other fields with value `None`
69          are ignored.
70        * Fields in `self.additional_properties` are added to the output dict.
71        """
72        excluded_fields: Set[str] = set(
73            [
74                "additional_properties",
75            ]
76        )
77
78        _dict = self.model_dump(
79            by_alias=True,
80            exclude=excluded_fields,
81            exclude_none=True,
82        )
83        # puts key-value pairs in additional_properties in the top level
84        if self.additional_properties is not None:
85            for _key, _value in self.additional_properties.items():
86                _dict[_key] = _value
87
88        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]:
 90    @classmethod
 91    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 92        """Create an instance of DocumentDataPlatformFileUpload from a dict"""
 93        if obj is None:
 94            return None
 95
 96        if not isinstance(obj, dict):
 97            return cls.model_validate(obj)
 98
 99        _obj = cls.model_validate({"documentUrl": obj.get("documentUrl"), "title": obj.get("title")})
100        # store additional fields in additional_properties
101        for _key in obj.keys():
102            if _key not in cls.__properties:
103                _obj.additional_properties[_key] = obj.get(_key)
104
105        return _obj

Create an instance of DocumentDataPlatformFileUpload 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 = {'document_url': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='documentUrl', alias_priority=2, description='The URL to download the resource. You must use your access token to access the URL. The URL contains the `redirect` parameter to control the request execution. `redirect`: By default, the `redirect` parameter is set to `false` and the resource object containing the URL and the resource type is returned with a 200 OK HTTP code. This URL is valid for 60 seconds. You can use this URL to retrieve the resource file. If the `redirect` parameter is set to `true`, a 307 TEMPORARY_REDIRECT HTTP response is returned. If you follow HTTP 3xx responses as redirects, you will automatically be redirected to the resource file and the content type returned is `application/octet-stream`.'), 'title': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, description='A short text header to identify the document.'), '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