PreDiff and PostDiff hooks were designed to be called immediately before
and after the PlanResourceChange calls to the provider. Probably due to
the confusing legacy naming of the hooks, these were scattered about the
nodes involved with planning, causing the hooks to be called in a number
of places where they were designed, including data sources and destroy
plans. Since these hooks are not used at all any longer anyway, we can
removed the extra calls with no effect.
If we choose in the future to call PlanResourceChange for resource
destroy plans, the hooks can be re-inserted (even though they currently
are unused) into the new code path which must diverge from the current
combined path of managed and data sources.
The UI hooks for data source reads were missed during planning. Move the
hook calls to immediatley before and after the ReadDataSource calls to
ensure they are called during both plan and apply.
Custom variable validations specified using JSON syntax would always
parse error messages as string literals, even if they included template
expressions. We need to be as backwards compatible with this behaviour
as possible, which results in this complex fallback logic. More detail
about this in the extensive code comments.
During the validation walk, we attempt to proactively evaluate check
rule condition and error message expressions. This will help catch some
errors as early as possible.
At present, resource values in the validation walk are of dynamic type.
This means that any references to resources will cause validation to be
delayed, rather than presenting useful errors. Validation may still
catch other errors, and any future changes which cause better type
propagation will result in better validation too.
Error messages for preconditions, postconditions, and custom variable
validations have until now been string literals. This commit changes
this to treat the field as an HCL expression, which must evaluate to a
string. Most commonly this will either be a string literal or a template
expression.
When the check rule condition is evaluated, we also evaluate the error
message. This means that the error message should always evaluate to a
string value, even if the condition passes. If it does not, this will
result in an error diagnostic.
If the condition fails, and the error message also fails to evaluate, we
fall back to a default error message. This means that the check rule
failure will still be reported, alongside diagnostics explaining why the
custom error message failed to render.
As part of this change, we also necessarily remove the heuristic about
the error message format. This guidance can be readded in future as part
of a configuration hint system.
`go-slug` has been updated to not upload `terraform.tfstate` to the slug
so that a user will no longer receive the error message about the
leftover state file after migrating from the local backend to TFC.
This commit stems from the change to make post plan the default run task stage, at the
time of this commit's writing! Since pre apply is under internal revision, we have removed
the block that polls the pre apply stage until the team decides to re-add support for pre apply
run tasks.
This change will await the completion of pre-apply run tasks if they
exist on a run and then report the results.
It also adds an abstraction when interacting with cloud integrations such
as policy checking and cost estimation that simplify and unify output,
although I did not go so far as to refactor those callers to use it yet.
When calculating the unknown values for JSON plan output, we would
previously recursively call the `unknownAsBool` function on the current
sub-tree twice, if any values were unknown. This was wasteful, but not
noticeable for normal Terraform resource shapes.
However for deeper nested object values, such as Kubernetes manifests,
this was a severe performance problem, causing `terraform show -json` to
take several hours to render a plan.
This commit reuses the already calculated unknown value for the subtree,
and adds benchmark coverage to demonstrate the improvement.
* ignore_changes attributes must exist in schema
Add a test verifying that attempting to add a nonexistent attribute to
ignore_changes throws an error.
* ignore_changes cannot be used with Computed attrs
Return a warning if a Computed attribute is present in ignore_changes,
unless the attribute is also Optional.
ignore_changes on a non-Optional Computed attribute is a no-op, so the user
likely did not want to set this in config.
An Optional Computed attribute, however, is still subject to ignore_changes
behaviour, since it is possible to make changes in the configuration that
Terraform must ignore.
James Bardin