miro_api.models.get_metrics_total200_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 14from __future__ import annotations 15import pprint 16import re # noqa: F401 17import json 18 19from pydantic import BaseModel, Field, StrictInt 20from typing import Any, ClassVar, Dict, List, Optional 21from typing import Optional, Set 22from typing_extensions import Self 23 24 25class GetMetricsTotal200Response(BaseModel): 26 """ 27 GetMetricsTotal200Response 28 """ # noqa: E501 29 30 unique_users: Optional[StrictInt] = Field( 31 default=None, 32 description="Number of unique users who performed at least one activity in the application.", 33 alias="uniqueUsers", 34 ) 35 unique_recurring_users: Optional[StrictInt] = Field( 36 default=None, 37 description="Number of unique users who have been active for more than one day over the past 30 days.", 38 alias="uniqueRecurringUsers", 39 ) 40 unique_organizations: Optional[StrictInt] = Field( 41 default=None, 42 description="Number of unique company accounts that have installed the application.", 43 alias="uniqueOrganizations", 44 ) 45 installations: Optional[StrictInt] = Field( 46 default=None, description="Number of application installations for a team." 47 ) 48 uninstallations: Optional[StrictInt] = Field( 49 default=None, description="Number of application uninstallations for a team." 50 ) 51 additional_properties: Dict[str, Any] = {} 52 __properties: ClassVar[List[str]] = [ 53 "uniqueUsers", 54 "uniqueRecurringUsers", 55 "uniqueOrganizations", 56 "installations", 57 "uninstallations", 58 ] 59 60 model_config = { 61 "populate_by_name": True, 62 "validate_assignment": True, 63 "protected_namespaces": (), 64 } 65 66 def to_str(self) -> str: 67 """Returns the string representation of the model using alias""" 68 return pprint.pformat(self.model_dump(by_alias=True)) 69 70 def to_json(self) -> str: 71 """Returns the JSON representation of the model using alias""" 72 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 73 return json.dumps(self.to_dict()) 74 75 @classmethod 76 def from_json(cls, json_str: str) -> Optional[Self]: 77 """Create an instance of GetMetricsTotal200Response from a JSON string""" 78 return cls.from_dict(json.loads(json_str)) 79 80 def to_dict(self) -> Dict[str, Any]: 81 """Return the dictionary representation of the model using alias. 82 83 This has the following differences from calling pydantic's 84 `self.model_dump(by_alias=True)`: 85 86 * `None` is only added to the output dict for nullable fields that 87 were set at model initialization. Other fields with value `None` 88 are ignored. 89 * Fields in `self.additional_properties` are added to the output dict. 90 """ 91 excluded_fields: Set[str] = set( 92 [ 93 "additional_properties", 94 ] 95 ) 96 97 _dict = self.model_dump( 98 by_alias=True, 99 exclude=excluded_fields, 100 exclude_none=True, 101 ) 102 # puts key-value pairs in additional_properties in the top level 103 if self.additional_properties is not None: 104 for _key, _value in self.additional_properties.items(): 105 _dict[_key] = _value 106 107 return _dict 108 109 @classmethod 110 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 111 """Create an instance of GetMetricsTotal200Response from a dict""" 112 if obj is None: 113 return None 114 115 if not isinstance(obj, dict): 116 return cls.model_validate(obj) 117 118 _obj = cls.model_validate( 119 { 120 "uniqueUsers": obj.get("uniqueUsers"), 121 "uniqueRecurringUsers": obj.get("uniqueRecurringUsers"), 122 "uniqueOrganizations": obj.get("uniqueOrganizations"), 123 "installations": obj.get("installations"), 124 "uninstallations": obj.get("uninstallations"), 125 } 126 ) 127 # store additional fields in additional_properties 128 for _key in obj.keys(): 129 if _key not in cls.__properties: 130 _obj.additional_properties[_key] = obj.get(_key) 131 132 return _obj
26class GetMetricsTotal200Response(BaseModel): 27 """ 28 GetMetricsTotal200Response 29 """ # noqa: E501 30 31 unique_users: Optional[StrictInt] = Field( 32 default=None, 33 description="Number of unique users who performed at least one activity in the application.", 34 alias="uniqueUsers", 35 ) 36 unique_recurring_users: Optional[StrictInt] = Field( 37 default=None, 38 description="Number of unique users who have been active for more than one day over the past 30 days.", 39 alias="uniqueRecurringUsers", 40 ) 41 unique_organizations: Optional[StrictInt] = Field( 42 default=None, 43 description="Number of unique company accounts that have installed the application.", 44 alias="uniqueOrganizations", 45 ) 46 installations: Optional[StrictInt] = Field( 47 default=None, description="Number of application installations for a team." 48 ) 49 uninstallations: Optional[StrictInt] = Field( 50 default=None, description="Number of application uninstallations for a team." 51 ) 52 additional_properties: Dict[str, Any] = {} 53 __properties: ClassVar[List[str]] = [ 54 "uniqueUsers", 55 "uniqueRecurringUsers", 56 "uniqueOrganizations", 57 "installations", 58 "uninstallations", 59 ] 60 61 model_config = { 62 "populate_by_name": True, 63 "validate_assignment": True, 64 "protected_namespaces": (), 65 } 66 67 def to_str(self) -> str: 68 """Returns the string representation of the model using alias""" 69 return pprint.pformat(self.model_dump(by_alias=True)) 70 71 def to_json(self) -> str: 72 """Returns the JSON representation of the model using alias""" 73 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 74 return json.dumps(self.to_dict()) 75 76 @classmethod 77 def from_json(cls, json_str: str) -> Optional[Self]: 78 """Create an instance of GetMetricsTotal200Response from a JSON string""" 79 return cls.from_dict(json.loads(json_str)) 80 81 def to_dict(self) -> Dict[str, Any]: 82 """Return the dictionary representation of the model using alias. 83 84 This has the following differences from calling pydantic's 85 `self.model_dump(by_alias=True)`: 86 87 * `None` is only added to the output dict for nullable fields that 88 were set at model initialization. Other fields with value `None` 89 are ignored. 90 * Fields in `self.additional_properties` are added to the output dict. 91 """ 92 excluded_fields: Set[str] = set( 93 [ 94 "additional_properties", 95 ] 96 ) 97 98 _dict = self.model_dump( 99 by_alias=True, 100 exclude=excluded_fields, 101 exclude_none=True, 102 ) 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 GetMetricsTotal200Response 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 "uniqueUsers": obj.get("uniqueUsers"), 122 "uniqueRecurringUsers": obj.get("uniqueRecurringUsers"), 123 "uniqueOrganizations": obj.get("uniqueOrganizations"), 124 "installations": obj.get("installations"), 125 "uninstallations": obj.get("uninstallations"), 126 } 127 ) 128 # store additional fields in additional_properties 129 for _key in obj.keys(): 130 if _key not in cls.__properties: 131 _obj.additional_properties[_key] = obj.get(_key) 132 133 return _obj
GetMetricsTotal200Response
67 def to_str(self) -> str: 68 """Returns the string representation of the model using alias""" 69 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
71 def to_json(self) -> str: 72 """Returns the JSON representation of the model using alias""" 73 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 74 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
76 @classmethod 77 def from_json(cls, json_str: str) -> Optional[Self]: 78 """Create an instance of GetMetricsTotal200Response from a JSON string""" 79 return cls.from_dict(json.loads(json_str))
Create an instance of GetMetricsTotal200Response from a JSON string
81 def to_dict(self) -> Dict[str, Any]: 82 """Return the dictionary representation of the model using alias. 83 84 This has the following differences from calling pydantic's 85 `self.model_dump(by_alias=True)`: 86 87 * `None` is only added to the output dict for nullable fields that 88 were set at model initialization. Other fields with value `None` 89 are ignored. 90 * Fields in `self.additional_properties` are added to the output dict. 91 """ 92 excluded_fields: Set[str] = set( 93 [ 94 "additional_properties", 95 ] 96 ) 97 98 _dict = self.model_dump( 99 by_alias=True, 100 exclude=excluded_fields, 101 exclude_none=True, 102 ) 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
Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
self.model_dump(by_alias=True):
Noneis only added to the output dict for nullable fields that were set at model initialization. Other fields with valueNoneare ignored.- Fields in
self.additional_propertiesare added to the output dict.
110 @classmethod 111 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 112 """Create an instance of GetMetricsTotal200Response 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 "uniqueUsers": obj.get("uniqueUsers"), 122 "uniqueRecurringUsers": obj.get("uniqueRecurringUsers"), 123 "uniqueOrganizations": obj.get("uniqueOrganizations"), 124 "installations": obj.get("installations"), 125 "uninstallations": obj.get("uninstallations"), 126 } 127 ) 128 # store additional fields in additional_properties 129 for _key in obj.keys(): 130 if _key not in cls.__properties: 131 _obj.additional_properties[_key] = obj.get(_key) 132 133 return _obj
Create an instance of GetMetricsTotal200Response 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