Remove the Input flag threaded through the input graph creation process
to prevent interpolation failures on module variables.
Use an EvalOpFilter instead to inset the correct EvalNode during
walkInput. Remove the EvalTryInterpolate type, and use the same
ContinueOnErr flag as the output node for consistency and to try and
keep the number possible eval node types down.
Allow module variables to fail interpolation during input. This is OK
since they will be verified again during Plan. Because Input happens
before Refresh, module variable interpolation can fail when referencing
values that aren't yet in the state, but are expected after Refresh.
Fixes#10711
The `ModuleVariablesTransformer` only adds module variables in use. This
was missing module variables used by providers since we ran the provider
too late. This moves the transformer and adds a test for this.
Fixes a shadow graph error found during usage.
The new apply graph was only adding module variables that referenced
data that existed _in the graph_. This isn't a valid optimization since
the data it is referencing may be in the state with no diff, and
therefore available but not in the graph.
This just removes that optimization logic, which causes no failing
tests. It also adds a test that exposes the bug if we had the pruning
logic.
