Previously we would interpolate the count config (ResourceConfig.RawCount)
only while preparing to dynamic-expand aggregate resource nodes. This is
problematic because we do not dynamic-expand any resource nodes during the
apply walk, and so previously the count value was not available for
interpolation during apply and would result in an error.
Now we interpolate RawCount once for each resource we visit during the
apply walk -- even though that redundantly interpolates the same config
multiple times when count > 1 -- to ensure that it's available by the
time we interpolate any remaining expressions in the config and any
expressions within "connection" and "provisioner" blocks.
This error was masked by us sharing a single RawConfig instance between
the plan and apply walks when "terraform apply" is run with no explicit
plan file argument, but was exposed by the workflow where the plan is
written first to disk since in that case the interpolation result from
during the plan phase is not present in the deflated plan object. For
this reason, the new context test serializes the plan into an in-memory
buffer and reloads it in order to simulate the effect of the two-step
workflow.
Previously we would return the raw error from strconv.ParseInt, which
includes details in its text that expose implementation details and are
thus not helpful to the user.
Instead, we use a locally-defined error message that talks only about
what the caller is expected to know: that count should be parsable as
an integer.
Containers (maps, lists, sets) in an InstanceDiff need to be handled in
their entirety. Unchanged values cannot be filtered out from diffs, as
providers expect attribute containers to be complete.
If a value in ignore_changes maps to a single key in an attribute
container, and there are other changes present, that ignored value must
be included in the diff as well.
In terraform-providers/terraform-provider-aws#2935, we have been cleaning code
duplication by benefiting from the "NormalizeJsonString" present in the "structure" helper.
It appears that tests in the AWS provider are covering more use-cases,
which are added in this work.
Internally, triton-go has changed how it handles errors. We can now get rid of
checking strings for errors, and we have introduced an errors library that
wraps some of the major errors we encounter and test for
James Bardin