The go-getter library that is used by the module loader validates S3 URLs in the parseURL function. That function assumes path-style URLs and fails on virtual-hosted-style URLs.
Our usual "ground rules" for mapping configschema to cty call for the
collection values representing nested block types to always be known and
non-null, using an empty collection to represent the absense of any blocks
of that type so that users can always safely use length(...) etc on them
without worrying about them sometimes being null.
However, due to some different behaviors in the legacy SDK we've allowed
it an exception to this rule which means that we can see unknown and null
collections in these positions in object values returned from provider
operations like PlanResourceChange and ApplyResourceChange when the legacy
SDK opt-out is activated.
As a consequence of this, we need to be mindful in our safety check
functions, like AssertObjectCompatible here, of tolerating these non-ideal
situations to allow the safety checks to complete. We run these checks
even when the provider requests an opt-out, because we want to note any
inconsistencies as WARNING level log lines to aid in debugging.
cty.Value.AsValueMap can return nil if called on an empty map or object.
The logic above was dealing with that case for maps, but object types
were falling through into this codepath and panicking when trying to
assign a new key into the nil dstMap.
This also includes a bonus fix where we were calling ty.ElementType in
a switch case that accepts object types. Object types don't have a single
element type, so we can't call ElementType on those (that also panics)
but we _can_ use the type of the value we selected from src to construct
our placeholder null value.
A provider may react to a create or update failing by returning error
diagnostics and a partially-updated or nil new value, in which case we
do not expect our AssertObjectCompatible consistency check to succeed: the
provider is just assumed to be doing the best it can to preserve whatever
partial outcome it was able to achieve.
However, if errors are accompanied with a nil new value after an update,
we'll assume that the provider is telling us it wasn't able to get far
enough to make any change at all, and so we'll retain the prior value in
state. This ensures that a provider can't cause an object to be forgotten
from the state just because an update failed.
* command/jsonconfig: display module variables in config output
The tests have been updated to reflect this change.
* command/jsonconfig: properly handle variables with nil defaults
RequiresReplace paths with IndexSteps that have been added or removed
may fail to apply against one of the two state values. Only error out if
the path cannot be applied to both values.
Now that we're actually verifying correct behavior of providers during
plan and apply, our mock providers need to behave like real providers,
properly propagating any configured values through the plan and into the
final state.
For most of these it was simpler to just switch over to using the newer
PlanResourceChangeFn mock interface, away from the legacy DiffFn approach,
because then we can just return the ProposedNewState verbatim because our
schema for these tests does not require any default values to be
populated.
Prior to Terraform 0.12 there were certain behaviors we expected from
providers that were actually just details of the SDK and not part of the
enforced contract.
For 0.12 we're now codifying some of these behaviors explicitly via safety
checks in core, thus ensuring that all future providers will behave in a
consistent way that users can rely on.
Unfortunately, due to the hand-written nature of the mock provider
implementations we use in tests, they have been getting away with some
unusual behaviors that don't match our usual expectations, and our safety
checks now detect those as incorrect behaviors.
To address this, we make the minimal changes to each test to ensure that
its mock provider behaves in a consistent way, which requires that values
set in config be represented correctly in the plan and ultimately saved
in the new state, without any changes along the way. In particular, the
common testDiffFn implementation has historically used a number of special
hidden attributes to trigger special behaviors, and our new rules require
that these special settings propagate properly through the plan and into
the state.
Since these error messages get printed in Terraform's output and we
encourage users to share them as part of bug reports, we should avoid
including sensitive information in them to reduce the risk of accidental
exposure.
Due to the inprecision of our shimming from the legacy SDK type system to
the new Terraform Core type system, the legacy SDK produces a number of
inconsistencies that produce only minor quirky behavior or broken
edge-cases. To retain compatibility with those existing weird behaviors,
the legacy SDK opts out of our safety checks.
The intent here is to allow existing providers to continue to do their
previous unsafe behaviors for now, accepting that this will allow certain
quirky bugs from previous releases to persist, and then gradually migrate
away from the legacy SDK and remove this opt-out on a per-resource basis
over time.
As with the apply-time safety check opt-out, this is reserved only for
the legacy SDK and must not be used in any new SDK implementations. We
still include any inconsistencies as warnings in the logs as an aid to
anyone debugging weird behavior, so that they can see situations where
blame may be misplaced in the user-visible error messages.
We've allowed the legacy SDK an opt-out from the post-apply safety checks,
but previously we produced only a generic warning message in that case.
Now instead we'll still run the safety checks, but report the results in
the logs instead of as error diagnostics.
This should allow developers who are debugging strange interactions
between buggy legacy providers to get better insight into what's going
on upstream in order to help explain what's going on when these problems
inevitably get caught by other downstream safety checks when trying to
make use of these invalid results.
We've been gradually adding safety checks of this sort throughout the
lifecycle to help ensure that buggy providers can't introduce
hard-to-diagnose downstream failures and misbehavior. This completes the
set by verifying during plan time that the provider has produced a plan
that actually achieves the goals defined in the configuration.
In particular, this catches the situation where a provider may incorrectly
override a value explicitly set in configuration, which avoids creating
confusion by betraying the reasonable user expectation that referencing an
explicitly-defined attribute will produce exactly the value shown in
configuration.
henninge