Apprise

The target-apprise Meltano loader sends data into Apprise after it was pulled from a source using an extractor.

• 
• Repository: https://github.com/AutoIDM/target-apprise
• 
• 
• 
• 
• 
• 
• Maintainer: AutoIDM
• Built with Meltano SDK: ✔
• 
• 

Getting Started #

Prerequisites #

If you haven't already, follow the initial steps of the Getting Started guide:

1. Install Meltano
2. Create your Meltano project
3. Add an extractor to pull data from a source

Installation and configuration #

Using the Command Line Interface #

1. Add the target-apprise loader to your project using meltano add :

   meltano add loader target-apprise

2. Configure the settings below using meltano config .

Next steps #

Follow the remaining steps of the Getting Started guide:

1. Run a data integration (EL) pipeline

If you run into any issues, learn how to get help.

Capabilities #

• about
• stream-maps
• record-flattening

Settings #

target-apprise requires the configuration of the following settings:

• uris

These and other supported settings are documented below. To quickly find the setting you're looking for, use the Table of Contents at the top of the page.

URIs (uris) #

• Environment variable: TARGET_APPRISE_URIS

Array of apprise URIs

How to use #

Manage this setting using meltano config or an environment variable:

meltano config target-apprise set uris '[...]'

export TARGET_APPRISE_URIS='[...]'

Looking for help? #

If you're having trouble getting the target-apprise loader to work, look for an existing issue in its repository, file a new issue, or join the Meltano Slack community and ask for help in the #plugins-general channel.

Found an issue on this page? #

This page is generated from a YAML file that you can contribute changes to. Edit it on GitHub!