Resources in the checkpoint file which are pending-delete represent old versions of resources which are no longer part of the active deployment. For purposes of constructing the active resource tree, we should skip these resources.
If the stack config specifies AWS credentials, these should be used in the operations provider instead of ambient credentials. This is necessary to ensure that we have access to resources in the target account.
Fixespulumi/pulumi-service#389
This improves the overall cloud CLI experience workflow.
Now whether a stack is local or cloud is inherent to the stack
itself. If you interact with a cloud stack, we transparently talk
to the cloud; if you interact with a local stack, we just do the
right thing, and perform all operations locally. Aside from sometimes
seeing a cloud emoji pop-up ☁️, the experience is quite similar.
For example, to initialize a new cloud stack, simply:
$ pulumi login
Logging into Pulumi Cloud: https://pulumi.com/
Enter Pulumi access token: <enter your token>
$ pulumi stack init my-cloud-stack
Note that you may log into a specific cloud if you'd like. For
now, this is just for our own testing purposes, but someday when we
support custom clouds (e.g., Enterprise), you can just say:
$ pulumi login --cloud-url https://corp.acme.my-ppc.net:9873
The cloud is now the default. If you instead prefer a "fire and
forget" style of stack, you can skip the login and pass `--local`:
$ pulumi stack init my-faf-stack --local
If you are logged in and run `pulumi`, we tell you as much:
$ pulumi
Usage:
pulumi [command]
// as before...
Currently logged into the Pulumi Cloud ☁️https://pulumi.com/
And if you list your stacks, we tell you which one is local or not:
$ pulumi stack ls
NAME LAST UPDATE RESOURCE COUNT CLOUD URL
my-cloud-stack 2017-12-01 ... 3 https://pulumi.com/
my-faf-stack n/a 0 n/a
And `pulumi stack` by itself prints information like your cloud org,
PPC name, and so on, in addition to the usuals.
I shall write up more details and make sure to document these changes.
This change also fairly significantly refactors the layout of cloud
versus local logic, so that the cmd/ package is resonsible for CLI
things, and the new pkg/backend/ package is responsible for the
backends. The following is the overall resulting package architecture:
* The backend.Backend interface can be implemented to substitute
a new backend. This has operations to get and list stacks,
perform updates, and so on.
* The backend.Stack struct is a wrapper around a stack that has
or is being manipulated by a Backend. It resembles our existing
Stack notions in the engine, but carries additional metadata
about its source. Notably, it offers functions that allow
operations like updating and deleting on the Backend from which
it came.
* There is very little else in the pkg/backend/ package.
* A new package, pkg/backend/local/, encapsulates all local state
management for "fire and forget" scenarios. It simply implements
the above logic and contains anything specific to the local
experience.
* A peer package, pkg/backend/cloud/, encapsulates all logic
required for the cloud experience. This includes its subpackage
apitype/ which contains JSON schema descriptions required for
REST calls against the cloud backend. It also contains handy
functions to list which clouds we have authenticated with.
* A subpackage here, pkg/backend/state/, is not a provider at all.
Instead, it contains all of the state management functions that
are currently shared between local and cloud backends. This
includes configuration logic -- including encryption -- as well
as logic pertaining to which stacks are known to the workspace.
This addresses pulumi/pulumi#629 and pulumi/pulumi#494.
This changes our resource creation logic to tolerate missing children.
This ultimately shouldn't be necessary, but we appear to have a bug where
sometimes during deletions we end up with dangling child pointers. See
pulumi/pulumi#613; it tracks fixing the bug, and also removing this
workaround and reenabling the assertion.
This change includes a NewResourceMap API, alongside the existing,
but renamed, NewResourceTree API. This also tidies up the resulting
struct for public consumption. This is required for downstream tests.
Parallelize collection of logs at each layer of the resource tree walk. Since almost all cost of log collection is at leaf nodes, this should allow the total time for log collection to be close to the time taken for the single longest leaf node, instead of the sum of all leaf nodes.
We need to clear the resource filter during the resource tree walk to ensure that logs from children of matched resources are collected and aggregated.
We have to reverse engineer the name from the soruce LogGroup information since that is all we got at runtime, but luckily that is sufficient given current name generation approach.
This kind of code is *very* sensitive to any changes to automatic name generation - but that is likely inevitable at this layer.
