* Rename module name from "github.com/hashicorp/terraform" to "github.com/placeholderplaceholderplaceholder/opentf".
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* Gofmt.
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* Regenerate protobuf.
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* Fix comments.
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* Undo issue and pull request link changes.
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* Undo comment changes.
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* Fix comment.
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* Undo some link changes.
Signed-off-by: Jakub Martin <kubam@spacelift.io>
* make generate && make protobuf
Signed-off-by: Jakub Martin <kubam@spacelift.io>
---------
Signed-off-by: Jakub Martin <kubam@spacelift.io>
This is a mostly mechanical refactor with a handful of changes which
are necessary due to the semantic difference between earlyconfig and
configs.
When parsing root and descendant modules in the module installer, we now
check the core version requirements inline. If the Terraform version is
incompatible, we drop any other module loader diagnostics. This ensures
that future language additions don't clutter the output and confuse the
user.
We also add two new checks during the module load process:
* Don't try to load a module with a `nil` source address. This is a
necessary change due to the move away from earlyconfig.
* Don't try to load a module with a blank name (i.e. `module ""`).
Because our module loading manifest uses the stringified module path
as its map key, this causes a collision with the root module, and a
later panic. This is the bug which triggered this refactor in the
first place.
Track individual instance drift rather than whole resources which
contributed to the plan. This will allow the output to be more precise,
and we can still use NoKey instances as a proxy for containing resources
when needed.
Convert a global reference to a specific AbsResource and attribute pair.
The hcl.Traversal is converted to a cty.Path at this point because plan
rendering is based on cty values.
Our existing functionality for dealing with references generally only has
to concern itself with one level of references at a time, and only within
one module, because we use it to draw a dependency graph which then ends
up reflecting the broader context.
However, there are some situations where it's handy to be able to ask
questions about the indirect contributions to a particular expression in
the configuration, particularly for additional hints in the user interface
where we're just providing some extra context rather than changing
behavior.
This new "globalref" package therefore aims to be the home for algorithms
for use-cases like this. It introduces its own special "Reference" type
that wraps addrs.Reference to annotate it also with the usually-implied
context about where the references would be evaluated.
With that building block we can therefore ask questions whose answers
might involve discussing references in multiple packages at once, such as
"which resources directly or indirectly contribute to this expression?",
including indirect hops through input variables or output values which
would therefore change the evaluation context.
The current implementations of this are around mapping references onto the
static configuration expressions that they refer to, which is a pretty
broad and conservative approach that unfortunately therefore loses
accuracy when confronted with complex expressions that might take dynamic
actions on the contents of an object. My hunch is that this'll be good
enough to get some initial small use-cases solved, though there's plenty
room for improvement in accuracy.
It's somewhat ironic that this sort of "what is this value built from?"
question is the use-case I had in mind when I designed the "marks" feature
in cty, yet we've ended up putting it to an unexpected but still valid
use in Terraform for sensitivity analysis and our currently handling of
that isn't really tight enough to permit other concurrent uses of marks
for other use-cases. I expect we can address that later and so maybe we'll
try for a more accurate version of these analyses at a later date, but my
hunch is that this'll be good enough for us to still get some good use out
of it in the near future, particular related to helping understand where
unknown values came from and in tailoring our refresh results in plan
output to deemphasize detected changes that couldn't possibly have
contributed to the proposed plan.
