* 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.
This commit introduces a capsule type, `TypeType`, which is used to
extricate type information from the console-only `type` function. In
combination with the `TypeType` mark, this allows us to restrict the use
of this function to top-level display of a value's type. Any other use
of `type()` will result in an error diagnostic.
These instances of marks.Raw usage were semantically only testing the
properties of combining multiple marks. Testing this with an arbitrary
value for the mark is just as valid and clearer.
The console-only `type` function allows interrogation of any value's
type. An implementation quirk is that we use a cty.Mark to allow the
console to display this type information without the usual HCL quoting.
For example:
> type("boop")
string
instead of:
> type("boop")
"string"
Because these marks can propagate when used in complex expressions,
using the type function as part of a complex expression could result in
this "print as raw" mark being attached to a collection. When this
happened, it would result in a crash when we tried to iterate over a
marked value.
The `type` function was never intended to be used in this way, which is
why its use is limited to the console command. Its purpose was as a
pseudo-builtin, used only at the top level to display the type of a
given value.
This commit goes some way to preventing the use of the `type` function
in complex expressions, by refusing to display any non-string value
which was marked by `type`, or contains a sub-value which was so marked.
The JSON plan configuration data now includes a `full_name` field for
providers. This addition warrants a backwards compatible increment to
the version number.
When rendering configuration as JSON, we have a single map of provider
configurations at the top level, since these are globally applicable.
Each resource has an opaque key into this map which points at the
configuration data for the provider.
This commit fixes two bugs in this implementation:
- Resources in non-root modules had an invalid provider config key,
which meant that there was never a valid reference to the provider
config block. These keys were prefixed with the local module name
instead of the path to the module. This is now corrected.
- Modules with passed provider configs would point to either an empty
provider config block or one which is not present at all. This has
been fixed so that these resources point to the provider config block
from the calling module (or wherever up the module tree it was
originally defined).
We also add a "full_name" key-value pair to the provider config block,
with the entire fully-qualified provider name including hostname and
namespace.
The `substr` function allows the `length` parameter to be longer than the remaining characters in the input after the offset. This is useful for when you want to truncate a string to a maximum number of characters. However, the documentation isn't clear on this so I had to do a test deployment to confirm the behaviour after finding the behaviour in an old issue https://github.com/hashicorp/terraform/issues/15751
Preconditions and postconditions for resources and data sources may not
refer to the address of the containing resource or data source. This
commit adds a parse-time validation for this rule.
This is not currently gated by the experiment only because it is awkward
to do so in the context of evaluationStateData, which doesn't have any
concept of experiments at the moment.
If the configuration contains preconditions and/or postconditions for any
objects, we'll check them during evaluation of those objects and generate
errors if any do not pass.
The handling of post-conditions is particularly interesting here because
we intentionally evaluate them _after_ we've committed our record of the
resulting side-effects to the state/plan, with the intent that future
plans against the same object will keep failing until the problem is
addressed either by changing the object so it would pass the precondition
or changing the precondition to accept the current object. That then
avoids the need for us to proactively taint managed resources whose
postconditions fail, as we would for provisioner failures: instead, we can
leave the resolution approach up to the user to decide.
Co-authored-by: Alisdair McDiarmid <alisdair@users.noreply.github.com>
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