45c6cc83f0
The previous ForEachVariables method was flawed because it didn't have enough information to properly analyze child blocks. Since the core HCL API requires a schema for any body analysis, and since a schema only describes one level of configuration structure at a time, we must require callers to drive a recursive walk through their nested block structure so that the correct schema can be provided at each level. This API is rather more complex than is ideal, but is the best we can do with the HCL Body API as currently defined, and it's currently defined that way in order to properly support ambiguous syntaxes like JSON. |
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.. | ||
expand_body_test.go | ||
expand_body.go | ||
expand_spec.go | ||
expr_wrap.go | ||
iteration.go | ||
public.go | ||
README.md | ||
schema.go | ||
variables_test.go | ||
variables.go |
HCL Dynamic Blocks Extension
This HCL extension implements a special block type named "dynamic" that can be used to dynamically generate blocks of other types by iterating over collection values.
Normally the block structure in an HCL configuration file is rigid, even though dynamic expressions can be used within attribute values. This is convenient for most applications since it allows the overall structure of the document to be decoded easily, but in some applications it is desirable to allow dynamic block generation within certain portions of the configuration.
Dynamic block generation is performed using the dynamic
block type:
toplevel {
nested {
foo = "static block 1"
}
dynamic "nested" {
for_each = ["a", "b", "c"]
iterator = nested
content {
foo = "dynamic block ${nested.value}"
}
}
nested {
foo = "static block 2"
}
}
The above is interpreted as if it were written as follows:
toplevel {
nested {
foo = "static block 1"
}
nested {
foo = "dynamic block a"
}
nested {
foo = "dynamic block b"
}
nested {
foo = "dynamic block c"
}
nested {
foo = "static block 2"
}
}
Since HCL block syntax is not normally exposed to the possibility of unknown
values, this extension must make some compromises when asked to iterate over
an unknown collection. If the length of the collection cannot be statically
recognized (because it is an unknown value of list, map, or set type) then
the dynamic
construct will generate a single dynamic block whose iterator
key and value are both unknown values of the dynamic pseudo-type, thus causing
any attribute values derived from iteration to appear as unknown values. There
is no explicit representation of the fact that the length of the collection may
eventually be different than one.
Usage
Pass a body to function Expand
to obtain a new body that will, on access
to its content, evaluate and expand any nested dynamic
blocks.
Dynamic block processing is also automatically propagated into any nested
blocks that are returned, allowing users to nest dynamic blocks inside
one another and to nest dynamic blocks inside other static blocks.
HCL structural decoding does not normally have access to an EvalContext
, so
any variables and functions that should be available to the for_each
and labels
expressions must be passed in when calling Expand
. Expressions
within the content
block are evaluated separately and so can be passed a
separate EvalContext
if desired, during normal attribute expression
evaluation.
Detecting Variables
Some applications dynamically generate an EvalContext
by analyzing which
variables are referenced by an expression before evaluating it.
This unfortunately requires some extra effort when this analysis is required
for the context passed to Expand
: the HCL API requires a schema to be
provided in order to do any analysis of the blocks in a body, but the low-level
schema model provides a description of only one level of nested blocks at
a time, and thus a new schema must be provided for each additional level of
nesting.
To make this arduous process as convenient as possbile, this package provides
a helper function WalkForEachVariables
, which returns a WalkVariablesNode
instance that can be used to find variables directly in a given body and also
determine which nested blocks require recursive calls. Using this mechanism
requires that the caller be able to look up a schema given a nested block type.
For simple formats where a specific block type name always has the same schema
regardless of context, a walk can be implemented as follows:
func walkVariables(node dynblock.WalkVariablesNode, schema *hcl.BodySchema) []hcl.Traversal {
vars, children := node.Visit(schema)
for _, child := range children {
var childSchema *hcl.BodySchema
switch child.BlockTypeName {
case "a":
childSchema = &hcl.BodySchema{
Blocks: []hcl.BlockHeaderSchema{
{
Type: "b",
LabelNames: []string{"key"},
},
},
}
case "b":
childSchema = &hcl.BodySchema{
Attributes: []hcl.AttributeSchema{
{
Name: "val",
Required: true,
},
},
}
default:
// Should never happen, because the above cases should be exhaustive
// for the application's configuration format.
panic(fmt.Errorf("can't find schema for unknown block type %q", child.BlockTypeName))
}
vars = append(vars, testWalkAndAccumVars(child.Node, childSchema)...)
}
}
Performance
This extension is going quite harshly against the grain of the HCL API, and so it uses lots of wrapping objects and temporary data structures to get its work done. HCL in general is not suitable for use in high-performance situations or situations sensitive to memory pressure, but that is especially true for this extension.