Module airbyte_agent_sdk.connectors.amplitude.models
Pydantic models for amplitude connector.
This module contains Pydantic models used for authentication configuration and response envelope types.
Classes
ActiveUsersData(**data: Any)
: Active or new user count data
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
model_config
: The type of the None singleton.
series: list[list[float]] | None
: The type of the None singleton.
series_collapsed: list[list[float]] | None
: The type of the None singleton.
series_labels: list[typing.Any] | None
: The type of the None singleton.
series_meta: list[airbyte_agent_sdk.connectors.amplitude.models.ActiveUsersDataSeriesmetaItem] | None
: The type of the None singleton.
x_values: list[str] | None
: The type of the None singleton.
ActiveUsersDataSeriesmetaItem(**data: Any)
: Nested schema for ActiveUsersData.seriesMeta_item
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
model_config
: The type of the None singleton.
segment_index: int | None
: The type of the None singleton.
ActiveUsersResponse(**data: Any)
: Active users response wrapper
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
data: airbyte_agent_sdk.connectors.amplitude.models.ActiveUsersData | None
: The type of the None singleton.
model_config
: The type of the None singleton.
ActiveUsersSearchData(**data: Any)
: Search result data for active_users entity.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
date: str | None
: The date for which the active user data is reported
model_config
: The type of the None singleton.
statistics: dict[str, typing.Any] | None
: The statistics related to the active users for the given date
AirbyteSearchMeta(**data: Any)
: Pagination metadata for search responses.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
cursor: str | None
: Cursor for fetching the next page of results.
has_more: bool
: Whether more results are available.
model_config
: The type of the None singleton.
took_ms: int | None
: Time taken to execute the search in milliseconds.
AirbyteSearchResult(**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
- typing.Generic
Descendants
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult[ActiveUsersSearchData]
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult[AnnotationsSearchData]
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult[AverageSessionLengthSearchData]
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult[CohortsSearchData]
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult[EventsListSearchData]
Class variables
data: list[~D]
: List of matching records.
meta: airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchMeta
: Pagination metadata.
model_config
: The type of the None singleton.
AirbyteSearchResult[ActiveUsersSearchData](**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
ActiveUsersSearchResult(**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
AirbyteSearchResult[AnnotationsSearchData](**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
AnnotationsSearchResult(**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
AirbyteSearchResult[AverageSessionLengthSearchData](**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
AverageSessionLengthSearchResult(**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
AirbyteSearchResult[CohortsSearchData](**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
CohortsSearchResult(**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
AirbyteSearchResult[EventsListSearchData](**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
EventsListSearchResult(**data: Any)
: Result from Airbyte cache search operations with typed records.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AirbyteSearchResult
- pydantic.main.BaseModel
- typing.Generic
AmplitudeAuthConfig(**data: Any)
: API Key Authentication
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
api_key: str
: Your Amplitude project API key. Find it in Settings > Projects in your Amplitude account.
model_config
: The type of the None singleton.
secret_key: str
: Your Amplitude project secret key. Find it in Settings > Projects in your Amplitude account.
AmplitudeCheckResult(**data: Any)
: Result of a health check operation.
Returned by the check() method to indicate connectivity and credential status.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
checked_action: str | None
: Action name used for the health check.
checked_entity: str | None
: Entity name used for the health check.
error: str | None
: Error message if status is 'unhealthy', None otherwise.
model_config
: The type of the None singleton.
status: str
: Health check status: 'healthy' or 'unhealthy'.
AmplitudeExecuteResult(**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
- typing.Generic
Descendants
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResultWithMeta
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult[ActiveUsersData]
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult[AverageSessionLengthData]
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult[list[Annotation]]
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult[list[Cohort]]
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult[list[EventType]]
Class variables
data: ~T
: Response data containing the result of the action.
model_config
: The type of the None singleton.
AmplitudeExecuteResultWithMeta(**data: Any)
: Response envelope with data and metadata.
Used for actions that return both data and metadata (e.g., pagination info).
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
meta: ~S
: Metadata about the response (e.g., pagination cursors, record counts).
AmplitudeExecuteResult[ActiveUsersData](**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
ActiveUsersListResult(**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
AmplitudeExecuteResult[AverageSessionLengthData](**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
AverageSessionLengthListResult(**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
AmplitudeExecuteResult[list[Annotation]](**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
AnnotationsListResult(**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
AmplitudeExecuteResult[list[Cohort]](**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
CohortsListResult(**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
AmplitudeExecuteResult[list[EventType]](**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
Class variables
model_config
: The type of the None singleton.
EventsListListResult(**data: Any)
: Response envelope with data only.
Used for actions that return data without metadata.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- airbyte_agent_sdk.connectors.amplitude.models.AmplitudeExecuteResult
- pydantic.main.BaseModel
- typing.Generic
AmplitudeReplicationConfig(**data: Any)
: Replication Configuration - Settings for data replication from Amplitude.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
model_config
: The type of the None singleton.
start_date: str
: UTC date and time in the format YYYY-MM-DDTHH:mm:ssZ. Any data before this date will not be replicated.
Annotation(**data: Any)
: A chart annotation object
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
date: str | None
: The type of the None singleton.
details: str | None
: The type of the None singleton.
id: int
: The type of the None singleton.
label: str | None
: The type of the None singleton.
model_config
: The type of the None singleton.
AnnotationGetResponse(**data: Any)
: Single annotation response
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
data: airbyte_agent_sdk.connectors.amplitude.models.AnnotationV3 | None
: The type of the None singleton.
model_config
: The type of the None singleton.
AnnotationV3(**data: Any)
: A chart annotation object (v3 API format)
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
category: airbyte_agent_sdk.connectors.amplitude.models.AnnotationV3Category | None
: The type of the None singleton.
chart_id: str | None
: The type of the None singleton.
details: str | None
: The type of the None singleton.
end: str | None
: The type of the None singleton.
id: int | None
: The type of the None singleton.
label: str | None
: The type of the None singleton.
model_config
: The type of the None singleton.
start: str | None
: The type of the None singleton.
AnnotationV3Category(**data: Any)
: The annotation category
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
category: str | None
: Category name
id: int | None
: Category ID
model_config
: The type of the None singleton.
AnnotationsList(**data: Any)
: List of annotations
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
data: list[airbyte_agent_sdk.connectors.amplitude.models.Annotation] | None
: The type of the None singleton.
model_config
: The type of the None singleton.
AnnotationsSearchData(**data: Any)
: Search result data for annotations entity.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
date: str | None
: The date when the annotation was made
details: str | None
: Additional details or information related to the annotation
id: int | None
: The unique identifier for the annotation
label: str | None
: The label assigned to the annotation
model_config
: The type of the None singleton.
AverageSessionLengthData(**data: Any)
: Average session length data
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
model_config
: The type of the None singleton.
series: list[list[float]] | None
: The type of the None singleton.
series_collapsed: list[list[airbyte_agent_sdk.connectors.amplitude.models.AverageSessionLengthDataSeriescollapsedItemItem]] | None
: The type of the None singleton.
series_meta: list[airbyte_agent_sdk.connectors.amplitude.models.AverageSessionLengthDataSeriesmetaItem] | None
: The type of the None singleton.
x_values: list[str] | None
: The type of the None singleton.
AverageSessionLengthDataSeriescollapsedItemItem(**data: Any)
: Nested schema for AverageSessionLengthData.seriesCollapsed_item_item
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
model_config
: The type of the None singleton.
set_id: str | None
: The type of the None singleton.
value: float | None
: The type of the None singleton.
AverageSessionLengthDataSeriesmetaItem(**data: Any)
: Nested schema for AverageSessionLengthData.seriesMeta_item
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
model_config
: The type of the None singleton.
segment_index: int | None
: The type of the None singleton.
session_index: int | None
: The type of the None singleton.
AverageSessionLengthResponse(**data: Any)
: Average session length response wrapper
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
data: airbyte_agent_sdk.connectors.amplitude.models.AverageSessionLengthData | None
: The type of the None singleton.
model_config
: The type of the None singleton.
AverageSessionLengthSearchData(**data: Any)
: Search result data for average_session_length entity.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
date: str | None
: The date on which the session occurred
length: float | None
: The duration of the session in seconds
model_config
: The type of the None singleton.
Cohort(**data: Any)
: A user cohort object
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
app_id: int | None
: The type of the None singleton.
archived: bool | None
: The type of the None singleton.
chart_id: str | None
: The type of the None singleton.
cohort_definition_type: str | None
: The type of the None singleton.
cohort_output_type: str | None
: The type of the None singleton.
created_at: int | None
: The type of the None singleton.
definition: dict[str, typing.Any] | None
: The type of the None singleton.
description: str | None
: The type of the None singleton.
edit_id: str | None
: The type of the None singleton.
finished: bool | None
: The type of the None singleton.
hidden: bool | None
: The type of the None singleton.
id: str | None
: The type of the None singleton.
include_data_app_types: list[str] | None
: The type of the None singleton.
is_generated_content: bool | None
: The type of the None singleton.
is_official_content: bool | None
: The type of the None singleton.
is_predictive: bool | None
: The type of the None singleton.
last_computed: int | None
: The type of the None singleton.
last_mod: int | None
: The type of the None singleton.
last_viewed: int | None
: The type of the None singleton.
location_id: str | None
: The type of the None singleton.
metadata: list[str] | None
: The type of the None singleton.
model_config
: The type of the None singleton.
name: str | None
: The type of the None singleton.
owners: list[str] | None
: The type of the None singleton.
per_app_metadata: dict[str, typing.Any] | None
: The type of the None singleton.
popularity: int | None
: The type of the None singleton.
published: bool | None
: The type of the None singleton.
shortcut_ids: list[str] | None
: The type of the None singleton.
size: int | None
: The type of the None singleton.
type_: str | None
: The type of the None singleton.
view_count: int | None
: The type of the None singleton.
viewers: list[str] | None
: The type of the None singleton.
CohortGetResponse(**data: Any)
: Single cohort response wrapper
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
cohort: airbyte_agent_sdk.connectors.amplitude.models.Cohort | None
: The type of the None singleton.
model_config
: The type of the None singleton.
CohortsList(**data: Any)
: List of cohorts
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
cohorts: list[airbyte_agent_sdk.connectors.amplitude.models.Cohort] | None
: The type of the None singleton.
model_config
: The type of the None singleton.
CohortsSearchData(**data: Any)
: Search result data for cohorts entity.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
app_id: int | None
: The unique identifier of the application
archived: bool | None
: Indicates if the cohort data is archived
chart_id: str | None
: The identifier of the chart associated with the cohort
created_at: int | None
: The timestamp when the cohort was created
definition: dict[str, typing.Any] | None
: The specific definition or criteria for the cohort
description: str | None
: A brief explanation or summary of the cohort
edit_id: str | None
: The ID for editing purposes or version control
finished: bool | None
: Indicates if the cohort data has been finalized
hidden: bool | None
: Flag to determine if the cohort is hidden from view
id: str | None
: The unique identifier for the cohort
is_official_content: bool | None
: Indicates if the cohort data is official content
is_predictive: bool | None
: Flag to indicate if the cohort is predictive
last_computed: int | None
: Timestamp of the last computation of cohort data
last_mod: int | None
: Timestamp of the last modification made to the cohort
last_viewed: int | None
: Timestamp when the cohort was last viewed
location_id: str | None
: Identifier of the location associated with the cohort
metadata: list[typing.Any] | None
: Additional information or data related to the cohort
model_config
: The type of the None singleton.
name: str | None
: The name or title of the cohort
owners: list[typing.Any] | None
: The owners or administrators of the cohort
popularity: int | None
: Popularity rank or score of the cohort
published: bool | None
: Status indicating if the cohort data is published
shortcut_ids: list[typing.Any] | None
: Identifiers of any shortcuts associated with the cohort
size: int | None
: Size or scale of the cohort data
type_: str | None
: The type or category of the cohort
view_count: int | None
: The total count of views on the cohort data
viewers: list[typing.Any] | None
: Users or viewers who have access to the cohort data
EventType(**data: Any)
: An event type definition with weekly totals
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
autohidden: bool | None
: The type of the None singleton.
clusters_hidden: bool | None
: The type of the None singleton.
deleted: bool | None
: The type of the None singleton.
display: str | None
: The type of the None singleton.
flow_hidden: bool | None
: The type of the None singleton.
hidden: bool | None
: The type of the None singleton.
id: float
: The type of the None singleton.
in_waitroom: bool | None
: The type of the None singleton.
model_config
: The type of the None singleton.
name: str | None
: The type of the None singleton.
non_active: bool | None
: The type of the None singleton.
timeline_hidden: bool | None
: The type of the None singleton.
totals: float | None
: The type of the None singleton.
totals_delta: float | None
: The type of the None singleton.
value: str | None
: The type of the None singleton.
waitroom_approved: bool | None
: The type of the None singleton.
EventsListResponse(**data: Any)
: List of event types
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
data: list[airbyte_agent_sdk.connectors.amplitude.models.EventType] | None
: The type of the None singleton.
model_config
: The type of the None singleton.
EventsListSearchData(**data: Any)
: Search result data for events_list entity.
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be
validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Ancestors (in MRO)
- pydantic.main.BaseModel
Class variables
autohidden: bool | None
: Whether the event is auto-hidden
clusters_hidden: bool | None
: Whether the event is hidden from clusters
deleted: bool | None
: Whether the event is deleted
display: str | None
: Display name of the event
flow_hidden: bool | None
: Whether the event is hidden from Pathfinder
hidden: bool | None
: Whether the event is hidden
id: float | None
: Unique identifier for the event type
in_waitroom: bool | None
: Whether the event is in the waitroom
model_config
: The type of the None singleton.
name: str | None
: Name of the event type
non_active: bool | None
: Whether the event is marked as inactive
timeline_hidden: Any
: Whether the event is hidden from the timeline
totals: float | None
: Total number of times the event occurred this week
totals_delta: float | None
: Change in totals from the previous period
value: str | None
: Raw event name in the data