The CustomizeDiff functionality in helper/schema is powerful, but directly
writing single CustomizeDiff functions can obscure the intent when a
number of different, orthogonal diff-customization behaviors are required.
This new library provides some building blocks that aim to allow a more
declarative form of CustomizeDiff implementation, by composing a number of
smaller operations. For example:
&schema.Resource{
// ...
CustomizeDiff: customdiff.All(
customdiff.ValidateChange("size", func (old, new, meta interface{}) error {
// If we are increasing "size" then the new value must be
// a multiple of the old value.
if new.(int) <= old.(int) {
return nil
}
if (new.(int) % old.(int)) != 0 {
return fmt.Errorf("new size value must be an integer multiple of old value %d", old.(int))
}
return nil
}),
customdiff.ForceNewIfChange("size", func (old, new, meta interface{}) bool {
// "size" can only increase in-place, so we must create a new resource
// if it is decreased.
return new.(int) < old.(int)
}),
customdiff.ComputedIf("version_id", func (d *schema.ResourceDiff, meta interface{}) bool {
// Any change to "content" causes a new "version_id" to be allocated.
return d.HasChange("content")
}),
),
}
The goal is to allow the various separate operations to be quickly seen
and to ensure that each of them runs independently of the others. These
functions all create closures on the call parameters, so the result is
still just a normal CustomizeDiffFunc and so the helpers in this package
can be combined with hand-written functions as needed.
As we get more experience writing CustomizeDiff functions we may wish to
expand the repertoire of functions here in future; this initial set
attempts to cover some common cases we've seen so far. We may also
investigate some helper functions that are entirely declarative and so
don't take callback functions at all, but want to learn what the relevant
use-cases are before going in too deep here.
The duplicate prompts can be confusing when the user confirms that a
migration should happen and we immediately prompt a second time for the
same thing with slightly different wording. The extra hand-holding that
this provides for legacy remote states is less critical now, since it's
been 2 major release cycles since those were removed.
The init command needs to parse the state to resolve providers, but
changes to the state format can cause that to fail with difficult to
understand errors. Check the terraform version during init and provide
the same error that would be returned by plan or apply.
First successful run with private origin and HAB_AUTH_TOKEN set
Update struct, schema, and decodeConfig names to more sensible versions
Cleaned up formatting
Update habitat provisioner docs
Remove unused unitstring
Here we upgrade the AWS Go SDK to 1.12.27 and AWS provider to include terraform-providers/terraform-provider-aws#1608.
This includes the capability to use named credentials profiles from the `~/.aws/credentials` file to authenticate to the backend.
The bounds checking in ResourceConfig.get() was insufficient: it detected when the index was greater than or equal to cv.Len() but not when the index was less than zero. If the user provided an (invalid) configuration that referenced "foo.-1.bar", the provider would panic.
Now it behaves the same way as if the index were too high.
If users run "terraform import" in a directory with no Terraform
configuration files, it's likely that they've made a mistake either by
being in the wrong directory or forgetting to use the -config option
on the command line.
To help users find their mistake in this case, we'll now produce a
specialized error message for this situation:
Error: No Terraform configuration files
The directory /home/user/example does not contain any Terraform
configuration files (.tf or .tf.json). To specify a different
configuration directory, use the -config="..." command line option.
While here, this also converts some of the other existing messages to
diagnostics so that we can show any configuration warnings along with
the error message, and move towards the new standard error presentation.
Looks like while we were checking errors correctly when ExpectError was
set, we weren't checking for the *absence* of an error, which is should
be checked as well (no error is still not the error we are looking for).
Added a few more tests for ExpectError as well.
Users commonly ask how the S3 backend can be used in an organization that
splits its infrastructure across many AWS accounts.
We've traditionally shied away from making specific recommendations here
because we can't possibly anticipate the different standards and
regulations that constrain each user. This new section attempts to
describe one possible approach that works well with Terraform's workflow,
with the goal that users make adjustments to it taking into account their
unique needs.
Since we are intentionally not being prescriptive here -- instead
considering this just one of many approaches -- it deviates from our usual
active writing style in several places to avoid giving the impression that
these are instructions to be followed exactly, which in some cases
requires the use of passive voice even though that is contrary to our
documentation style guide. For similar reasons, this section is also
light on specific code examples, since we do not wish to encourage users
to just copy-paste the examples without thinking through the consequences.
Previously our error message here was confusing and redundant:
Error starting operation: provider.null: invalid version constraint "not valid": Malformed constraint: not valid
Instead, we'll generate a full HCL2 diagnostic here, which results in
something (subjectively) nicer:
Error: Invalid provider version constraint
The value "@ 1.0.0" given for provider.null is not a valid version
constraint.
At the moment this message is an outlier in that the other validation
errors are all still just plain Go errors, but over time we'll want to
adjust all of these to be full diagnostics so that we can embed source
range information in them to help the user find the offending
configuration.
Previously we required callers to separately call .Validate on the root
module to determine if there were any value errors, but we did that
inconsistently and would thus see crashes in some cases where later code
would try to use invalid configuration as if it were valid.
Now we run .Validate automatically after config loading, returning the
resulting diagnostics. Since we return a diagnostics here, it's possible
to return both warnings and errors.
We return the loaded module even if it's invalid, so callers are free to
ignore returned errors and try to work with the config anyway, though they
will need to be defensive against invalid configuration themselves in
that case.
As a result of this, all of the commands that load configuration now need
to use diagnostic printing to signal errors. For the moment this just
allows us to return potentially-multiple config errors/warnings in full
fidelity, but also sets us up for later when more subsystems are able
to produce rich diagnostics so we can show them all together.
Finally, this commit also removes some stale, commented-out code for the
"legacy" (pre-0.8) graph implementation, which has not been available
for some time.
This creates a unique bucket name for each test, so that the tests in
parallel don't collide, and buckets left over from interrupted tests
don't cause future failures.
Also make sure that buckets are removed, regardless of content.
The backend was creating bucket named in the configuration if it didn't
exist. We don't allow other backends to do this, because these are not
managed resources that terraform can control.
Previously there was a problem with double-locking when using the GCS backend with the terraform_remote_state data source.
Here we adjust the locking methodology to avoid that problem.
Martin Atkins