Phil Sphicas 5cd799cc5d Allow source substring extraction
When performing substitutions, there are occasions when the source value
does not exactly match the format required by the destination document
(e.g. the values.yaml structure of an Armada chart).

This change provides the ability extract a substring of the source
value, and substitute that into the destination document.

Two optional fields are added to `src` under `metadata.substitutions`:

  * `pattern`: a regular expression, with optional capture groups
  * `match_group`: the number of the desired capture group

The canonical use case is a chart that requires an image with the repo
name and tag in separate fields, while the substitution source has the
full image path as a single value.

For example, assuming that the source document "software-versions" has:

    data:
      images:
        hello: docker.io/library/hello-world:latest

Then the following set of substitutions would put the repo and tag in
the applicable values in the destination document:

    metadata:
      substitutions:
        - src:
            schema: pegleg/SoftwareVersions/v1
            name: software-versions
            path: .images.hello
            pattern: '^(.*):(.*)'
            match_group: 1
          dest:
            path: .values.images.hello.repo
        - src:
            schema: pegleg/SoftwareVersions/v1
            name: software-versions
            path: .images.hello
            pattern: '^(.*):(.*)'
            match_group: 2
          dest:
            path: .values.images.hello.tag
    data:
      values:
        images:
          hello:
            repo:  # docker.io/library/hello-world
            tag:   # latest

Change-Id: I2fcb0d2b8e2fe3d85479ac2bad0b7b90f434eb77
2022-01-18 13:04:25 -08:00
2020-03-02 16:32:42 +00:00
2020-09-24 22:35:22 -05:00
2021-10-01 11:28:22 -05:00
2022-01-18 13:04:25 -08:00
2018-10-19 23:56:12 -05:00
2021-08-30 07:53:24 -07:00
2021-10-19 15:20:38 -07:00
2017-08-15 16:11:35 -04:00
2019-04-19 19:52:20 +00:00
2018-03-28 13:06:46 -04:00
2022-01-14 08:30:26 -08:00
2020-08-05 22:05:57 +00:00
2018-11-15 00:22:41 +08:00
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Deckhand

Docker Repository on Quay Doc Status

Deckhand provides document revision management, storage and mutation functionality upon which the rest of the Airship components rely for orchestration of infrastructure provisioning. Deckhand understands declarative YAML documents that define, end-to-end, the configuration of sites: from the hardware -- encompassing network topology and hardware and host profile information -- up to the software level that comprises the overcloud.

Core Responsibilities

  • layering - helps reduce duplication in configuration by applying the notion of inheritance to documents
  • substitution - provides separation between secret data and other configuration data for security purposes and reduces data duplication by allowing common data to be defined once and substituted elsewhere dynamically
  • revision history - maintains well-defined collections of documents within immutable revisions that are meant to operate together, while providing the ability to rollback to previous revisions
  • validation - allows services to implement and register different kinds of validations and report errors
  • secret management - leverages existing OpenStack APIs -- namely Barbican -- to reliably and securely store sensitive data

Getting Started

For more detailed installation and setup information, please refer to the Getting Started guide.

Integration Points

Deckhand has the following integration points:

Note

Currently, other database back-ends are not supported.

Though, being a low-level service, has many other Airship services that integrate with it, including:

  • Drydock is orchestrated by Shipyard to perform bare metal node provisioning.
  • Promenade is indirectly orchestrated by Shipyard to configure and join Kubernetes nodes.
  • Armada is orchestrated by Shipyard to deploy and test Kubernetes workloads.

Further Reading

Airship.

Description
A configuration management service with support for secrets.
Readme 8.7 MiB
Languages
Python 97.4%
Shell 2%
Makefile 0.5%