* terraform/context: use new addrs.Provider as map key in provider factories
* added NewLegacyProviderType and LegacyString funcs to make it explicit that these are temporary placeholders
This PR introduces a new concept, provider fully-qualified name (FQN), encapsulated by the `addrs.Provider` struct.
Before this, the Terraform Puppet provisioner would error out in a
confusing way if the type attribute in a connection block was not given.
Apparently an omitted type leads to type having a value "" which must be
then assumed to mean "ssh".
Fixes#23004
Remove reflect.DeepEqual from path comparisons to get reliable results.
The equality issues were only noticed going the grpc interface, so add a
corresponding test to the test provider.
The helper/schema diff process loses empty strings, causing them to show
up as unset (null) during apply. Besides failing to show as set by
GetOk, the absence of the value also triggers the schema to insert a
default value again during apply.
It would also be be preferable if the defaults weren't re-evaluated
again during ApplyResourceChange, but that would require a more invasive
patch to the field readers, and ensuring the empty string is stored in
the plan should block the default.
When a Diff contains a NewRemoved attribute (which would have been null
in the planned state), the final value is often the "zero" value string
for the type, which the provider itself still applies to the state.
Rather than risking a change of behavior in helper/schema by fixing the
inconsistency, we'll remove the NewRemoved attributes after apply to
prevent further issues resulting from the change in planned value.
The new type system only has a Number type, but helper schema
differentiates between Int and Float values. Verify that a new config
value is an integer during Validate, because the existing WeakDecode
validation will decode a float value into an integer while the config
FieldReader will attempt to parse the float exactly.
Since we're limiting this to protoV5, we can be certain that any valid
config value will be converted to an `int` type by the shims. The only
case where an integral float value will appear is if the integer is out
of range for the systems `int` type, but we also need to prevent that
anyway since it would fail to read in the same manner.
Computed primitive values must see the UnknownConfigValue or they are
assumed to be unchanged. Restrict the usage of the protov5 ComputedKeys
to containers.
We were previously catching some errors at read time, but some type errors
were panicking because the cty.DynamicPseudoType arguments have no
automatic pre-type-checking done but this code was assuming they would
be objects.
Here we add an explicit validation step that includes both the backend
validation we were previously doing during read and some additional
type checking to ensure the two dynamic arguments are suitably-typed.
Having the separate validation step means that these problems can be
detected by "terraform validate", rather than only in "terraform plan"
or "terraform apply".
If a dynamic block (in the HCL dynamic block extension sense) has an
unknown value for its for_each argument, it gets expanded to a single
placeholder block with all of its attributes set to a unknown values.
We can use this as part of a heuristic to relax our object compatibility
checks for situations where the plan included an object that appears to
be (but isn't necessarily) such a placeholder, allowing for the fact that
the one placeholder block could be replaced with zero or more real blocks
once the for_each value is known.
Previously our heuristic was too strict: it would match only if the only
block present was a dynamic placeholder. In practice, users may mix
dynamic blocks with static blocks of the same type, so we need to be more
liberal to avoid generating incorrect incompatibility errors in such
cases.
removeConfigUnknowns need to remove the value completely from the config
map. Removing this value allows GetOk and GetOkExists to indicate if the
value was set in the config in the case of an Optional+Computed
attribute.
We previously attempted to make the special diff apply behavior for nested
sets of objects work with attribute mode by totally discarding attribute
mode for all shims.
In practice, that is too broad a solution: there are lots of other shimming
behaviors that we _don't_ want when attribute mode is enabled. In
particular, we need to make sure that the difference between null and
empty can be seen in configuration.
As a compromise then, we will give all of the shims access to the real
ConfigMode and then do a more specialized fixup within the diff-apply
logic: we'll construct a synthetic nested block schema and then use that
to run our existing logic to deal with nested sets of objects, while
using the previous behavior in all other cases.
In effect, this means that the special new behavior only applies when the
provider uses the opt-in ConfigMode setting on a particular attribute,
and thus this change has much less risk of causing broad, unintended
regressions elsewhere.
When an operation fails, providers may return a null new value rather than
returning a partial state. In that case, we'd prefer to keep the old value
so that we stand the best chance of being able to retry on a subsequent
run.
Previously we were making an exception for the delete action, allowing
the result of that to be null even when an error is returned. In practice
that was a bad idea because it would cause Terraform to lose track of the
object even though it might not actually have been deleted.
Now we'll retain the old object even in the delete case. Providers can
still return partial new objects if they were able to partially complete
a delete operation, in which case we'll discard what we had before, but
if the result is null with errors then we'll assume the delete failed
entirely and so just keep the old state as-is, giving us the opportunity
to refresh it on the next run to see if anything actually happened after
all.
(This also includes a new resource in the test provider which isn't used
by the patch but was useful for some manual UX testing here, so I thought
I'd include it in case it's similarly useful in future, given how simple
its implementation is.)
Kristin Laemmert