A CLI that facilitates injecting AI model metadata from various sources into the Backstage Catalog
Contributing
All contributions are welcome. The Apache 2 license is used and does not require any
contributor agreement to submit patches. That said, the preference at this time for issue tracking is not GitHub issues
in this repository.
Rather, visit the team's current Jira project.
See the development guide for details on how to build and test any contributions you make.
Usage
At a high level, the bac
CLI
- Provides for the generation of YAML formatted definitions of Backstage
Components
, Resources
, and APIs
catalog entities by accessing external systems that provide AI model metadata
- Which external systems are supported is expected to grow over time, at least in the short term.
- Once that YAML information is stored in a HTTP accessible file, the
bac
CLI then provides commands to instructs a specific Backstage instance to import those entities into its catalog. This will show up as a Backstage Location
in the catalog, where it is a parent of the Components
, Resources
and APIs
- Those
Components
, Resources
, and APIs
will have specific AI related types
which will allow for distinguishing from other Components
, Resources
and APIs
in the catalog
- Later on, it also allows for the deletion of Backstage
Locations
and any Components
, Resources
, and APIs
defined by that Location
- Lastly, the
bac
CLI allows for retrieving any AI related Components
, Resources
and APIs
To received detailed usage information and example invocations, after building the bac
executable, you can run
bac help
This invocation will also provide the current list of subcommands. Similarly, running
bac help <subcommand>
bac help <subcommand> <subcommand>
will provide usage information, example invocations, optional flags, and additional subcommands for the current list of subcommands.
Potential tl;dr
First, our background document gets into the scenarios and personas we are targeting with this CLI,
as well as rationale for the syntax, language(s), and the like.
Then, our roadmap document provides a snapshot of the more immediate changes we have planned with,
Jira references when ideas reach sufficient priority to warrant official tracking.