SendNotification

*,
integration_id: typing.Annotated[str, Strict(strict=True)],
text: str = '',
level: typing.Annotated[wandb.automations._generated.enums.AlertSeverity, BeforeValidator(func=<function upper_if_str at 0x108b82a20>, json_schema_input_type=PydanticUndefined)] = <AlertSeverity.INFO: 'INFO'>,
title: str = '',
action_type: Literal[NOTIFICATION] = NOTIFICATION

Description

Defines an automation action that sends a (Slack) notification.

Args:

• integration_id:
• text:
• level:
• title:
• action_type:

Methods:

construct

copy

Returns a copy of the model.

!!! warning “Deprecated” This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

data = self.model_dump(include=include, exclude=exclude, round_trip=True)
data = {**data, **(update or {})}
copied = self.model_validate(data)

dict

from_integration

Define a notification action that sends to the given (Slack) integration.

from_orm

json

model_construct

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

!!! note model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

model_copy

!!! abstract “Usage Documentation” model_copy

Returns a copy of the model.

!!! note The underlying instance’s [__dict__][object.dict] attribute is copied. This might have unexpected side effects if you store anything in it, on top of the model fields (e.g. the value of [cached properties][functools.cached_property]).

model_dump

!!! abstract “Usage Documentation” model_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

model_dump_json

!!! abstract “Usage Documentation” model_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

model_json_schema

Generates a JSON schema for a model class.

model_parametrized_name

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

model_post_init

Override this method to perform additional initialization after __init__ and model_construct. This is useful if you want to do some validation that requires the entire model to be initialized.

model_rebuild

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

model_validate

Validate a pydantic model instance.

model_validate_json

!!! abstract “Usage Documentation” JSON Parsing

Validate the given JSON data against the Pydantic model.

model_validate_strings

Validate the given object with string data against the Pydantic model.

parse_file

parse_obj

parse_raw

schema

schema_json

update_forward_refs

validate