
The regex in jsonpath_replace is capturing paths with numeric values inappropriately, because the characters [ and ] aren't escaped, leading to things like foo0 result in an array trying to be created. This has been corrected such that now an array should only be created for foo[0] whereas for foo0 an object should be created. Unit tests have been added for the function. Change-Id: Iebb4167a0bbb9c465c348c32f55e818c41aba53d
Deckhand
Deckhand is a storage service for YAML-based configuration documents, which are managed through version control and automatically validated. Deckhand provides users with a variety of different document types that describe complex configurations using the features listed below.
Core Responsibilities
- layering - helps reduce duplication in configuration while maintaining auditability across many sites
- substitution - provides separation between secret data and other configuration data, while allowing a simple interface for clients
- revision history - improves auditability and enables services to provide functional validation of a well-defined collection of documents that are meant to operate together
- validation - allows services to implement and register different kinds of validations and report errors
Getting Started
For more detailed installation and setup information, please refer to the Getting Started guide.
Testing
Automated Testing
To run unit tests using sqlite, execute:
$ tox -epy27
$ tox -epy35
against a py27- or py35-backed environment, respectively. To run individual unit tests, run:
$ tox -e py27 -- deckhand.tests.unit.db.test_revisions
for example.
To run functional tests:
$ tox -e functional
You can also run a subset of tests via a regex:
$ tox -e functional -- gabbi.suitemaker.test_gabbi_document-crud-success-multi-bucket
Intgration Points
Deckhand has the following integration points:
- Keystone (OpenStack Identity service) provides authentication and support for role based authorization.
- PostgreSQL is used to persist information to correlate workflows with users and history of workflow commands.
Note
Currently, other database backends are not supported.
Though, being a low-level service, has many other UCP services that integrate with it, including: