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docs/guides/notifications.md

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SQLMesh notifications are triggered by events. The events that should trigger a notification are specified in the notification target's `notify_on` field.
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Notifications are support for [`plan` application](../concepts/plans.md) start/end/failure, [`run`](../reference/cli.md#run) start/end/failure, and [`audit`](../concepts/audits.md) failures.
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Notifications are supported for [`plan` application](../concepts/plans.md) start/end/failure, [`run`](../reference/cli.md#run) start/end/failure, and [`audit`](../concepts/audits.md) failures.
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For `plan` and `run` start/end, the target environment name is included in the notification message. For failures, the Python exception or error text is included in the notification message.
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docs/guides/scheduling.md

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# Scheduling guide
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SQLMesh currently offers three ways of scheduling model evaluation:
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SQLMesh currently offers two ways of scheduling model evaluation:
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* Using [SQLMesh's built-in scheduler](#built-in-scheduler)
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* Using [Tobiko Cloud](../cloud/features/scheduler/scheduler.md)

docs/guides/signals.md

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To define a signal, create a `signals` directory in your project folder. Define your signal in a file named `__init__.py` in that directory (you can have additional python file names as well).
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A signal is a function that accepts a batch (DateTimeRanges: t.List[t.Tuple[datetime, datetime]]) and returns a batch or a boolean. It needs use the @signal decorator.
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A signal is a function that accepts a batch (`DateTimeRanges: t.List[t.Tuple[datetime, datetime]]`) and returns a batch or a boolean. It needs to use the `@signal` decorator.
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We now demonstrate signals of varying complexity.
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