We use the .# key primarily as a hint that we have a list, but its value
describes how many items the writer thinks were in the list.
Since this information is redundant with the _actual_ data, it's
potentially useful as a form of corrupted data detection but this function
isn't equipped to actually report on such a problem (no error return
value, and not in a good place for UI feedback anyway), so instead we'll
largely ignore this value and just go by the number of items we
encounter.
The result of this is that when the counts mismatch we will go by the
number of items actually holding the prefix, rather than panicking as
we would've before.
This fixes the crashes in #15300, #15135 and #15334, though it does not
address any root-cause for the count to be incorrect in the first place,
so there may be something to fix here somewhere else.
When we encounter maps with empty counts, remove them from the expansion
to prevent already empty sub-elements from being retained.
Convert TestExpand to subtests for easier debugging.
* Revert #11245, #11321, #11498 and #11757
These PR’s are all related to issue #11170 for which I would like to propose a different solution then the one currently implemented.
* A different approach to solve #11170
This approach has (IMHO) a few advantages with regards to the solution currently implemented. I will elaborate on this in the PR.
For historical reasons, sets are represented as sparse lists in a
flatmap, however a computed set does not have a numeric index.
Strip the `~` flag from a computed set's index during expansion, and add
it back in the prefix after sorting.
Fixes#12183
The fix is in flatmap for this but the entire issue is a bit more
complex. Given a schema with a computed set, if you reference it like
this:
lookup(attr[0], "field")
And "attr" contains a computed set within it, it would panic even though
"field" is available. There were a couple avenues I could've taken to
fix this:
1.) Any complex value containing any unknown value at any point is
entirely unknown.
2.) Only the specific part of the complex value is unknown.
I took route 2 so that the above works without any computed (since
"name" is not computed but something else is). This may actually have an
effect on other parts of Terraform configs, however those similar
configs would've simply crashed previously so it shouldn't break any
pre-existing configs.
The change in #10787 used flatmap.Expand to fix interpolation of nested
maps, but it broke interpolation of sets such that their elements were
not represented. For example, the expected string representation of a
splatted aws_network_interface.whatever.*.private_ips should be:
```
[{Variable (TypeList): [{Variable (TypeString): 10.41.17.25}]} {Variable (TypeList): [{Variable (TypeString): 10.41.22.236}]}]
```
But instead it became:
```
[{Variable (TypeList): [{Variable (TypeString): }]} {Variable (TypeList): [{Variable (TypeString): }]}]
```
This is because the expandArray function of expand.go treated arrays to
exclusively be lists, e.g. not sets. The old code used to match for
numeric keys, so it would work for sets, whereas expandArray just
assumed keys started at 0 and ascended incrementally. Remember that
sets' keys are numeric, but since they are hashes, they can be any
integer. The result of assuming that the keys start at 0 led to the
recursive call to flatmap.Expand not matching any keys of the set, and
returning nil, which is why the above example has nothing where the IP
addresses used to be.
So we bring back that matching behavior, but we move it to expandArray
instead. We've modified it to not reconstruct the data structures like
it used to when it was in the Interpolator, and to use the standard int
sorter rather than implementing a custom sorter since a custom one is no
longer necessary thanks to the use of flatmap.Expand.
Fixes#10908, and restores the viability of the workaround I posted in #8696.
Big thanks to @jszwedko for helping me with this fix. I was able to
diagnose the problem along, but couldn't fix it without his help.
