This adds UI support for receiving the one-time token passed via query parameter, as in #10134
and related PRs, and exchanging it for its corresponding secret ID. When this works, it’s mostly
invisible, with a brief flash of the OTT onscreen.
The authentication failure message now suggests the -authenticate flag.
When OTT exchange fails, it shows a whole-page error.
This includes a known UX shortcoming in that the OTT will not disappear from the URL when an
identifier is specified on the command line, like nomad ui -authenticate jobname. The goal is to
address that shortcoming in a forthcoming pull request.
The job factory will now accept an array of resourceSpecs that is a shorthand
notation for memory, cpu, disk, and iops requirements.
These specs get passed down to task groups. The task group factory will
split the resource requirements near evenly (there is variance
threshold) across all expected tasks.
Allocations then construct task-resource objects based on the resources
from the matching task.
Closes#7197#7199
Note: Test coverage is limited to adapter and serializer unit tests. All
acceptance tests have been stubbed and all features have been manually
tested end-to-end.
This represents Phase 1 of #6993 which is the core workflow of CSI in
the UI. It includes a couple new pages for viewing all external volumes
as well as the allocations associated with each. It also updates
existing volume related views on job and allocation pages to handle both
Host Volumes and CSI Volumes.
This connects Xterm.js to a Nomad exec websocket so people
can interact on clients via live sessions. There are buttons on
job, allocation, task group, and task detail pages that open a
popup that lets them edit their shell command and start a
session.
More is to come, as recorded in issues.
This sets a default-but-query-configurable Faker seed in development,
via faker-seed. It also changes uses of Math.random to use Faker’s
randomness so auto-generated data remains stable in development.
I noticed while working on #6166 that some of the factory properties
that used Faker’s randomisation features are using their output
rather than a function that would call the randomiser. This means that
the randomisation happens once and the value is used for every model
generated by the factory. This wraps the randomiser calls in functions
so different models can have different values.
