A variable with a type but no default value or override resulted in an
empty string. This matches the legacy behavior of untyped variables,
but does not make sense when using types (an empty string is itself a
type violation for everything except `string`). All variables defined
with a type but with no value are now a typed `null`.
A variable explicitly typed `any` was previously treated as if the
typing was omitted; with no defined value or override, that resulted in
an empty string. The `any` type is now distinguished from an omitted
type; these variables, with no default or override, are also `null`.
In other respects, the behavior of `any` is unchanged and largely
behaves as if the type was omitted. It's not clear whether it should be
supported, let alone how it should behave, so these tests were removed.
It's being treated as undefined behavior.
Signed-off-by: Roberto Villarreal <rrjjvv@yahoo.com>
While lsBuilder has a field called Current that gets lost
because the embedded struct implements custom MarshalJSON method.
Signed-off-by: Tonis Tiigi <tonistiigi@gmail.com>
The primary intent is to make JSON parsing explicitly opt-in rather than
using heuristics to determine intent.
With some exceptions, given bake variable `VAR`, an environment variable
`VAR_JSON` must be used to provide JSON content. The value in
`VAR_JSON` will be ignored when:
* a bake built-in of that same name exists
* a user-provided variable of that same name exists
* typing (attribute `type`) is not present
The first is unlikely to happen as built-ins will likely start with
`BUILDX_BAKE_`, an unlikely prefix for end users. The second may be a
real scenario, where users have `VAR_JSON` dedicated to accepting a
string with JSON content and decoding via an HCL function. This will
continue to work as-is, but can be simplified by removing the variable
from their bake file (`VAR_JSON`) and applying typing (to `VAR`).
Signed-off-by: Roberto Villarreal <rrjjvv@yahoo.com>
Though CSV is favored for 'simple' lists, a JSON value will be used if
it parses without error. This assumes that it is extremely unlikely
that something that parses as JSON would be intended to be parsed as
CSV, e.g. `["a"` and `"b"]`, as opposed to `a` and `b`. If
parsing/conversion fails, it is treated as if it was a CSV.
Since the CSV approach required processing of each element, code was
refactored to reuse the same logic used for individual non-typed
variables.
Signed-off-by: Roberto Villarreal <rrjjvv@yahoo.com>
This allows variables to have explicit types, similar to Terraform
variables. It uses HCL's `typeexpr` extension for the specification.
For conversion of overrides to complex types (when explicit typing is
provided), HCL's native JSON-based unmarshalling is used.
Typing is independent of any default, but if a default is provided, it
will be validated. Similarly, if an override is provided, it will be
converted to that type.
When typing is not provided, previous behavior is used, namely
passing through as a string when no default, converting to primitives if
the default was primitive, and failing otherwise (complex types).
For complex types, the happy path is lists of primitives, but in theory
any complex/composite type can be used provided they are expressed
correctly in JSON. In the interest of simplicity and correctness, there
are no shortcuts for lists. There *is* a shortcut for strings as users
don't provide them for untyped variables and would be unintuitive.
Signed-off-by: Roberto Villarreal <rrjjvv@yahoo.com>
