By specifying a function typed `LookupFunction` the caller can customize
which path expressions to interpolate and which ones to skip. When we
express dependencies between resources their values are known by
Terraform at deploy time. Therefore, we have to skip interpolation for
`${resources.jobs.my_job.id}` and instead rewrite it to
`${databricks_job.my_job.id}` before passing it along to Terraform.
Performs interpolation on string field.
It looks for patterns `${foo.bar}` where `foo.bar` points to a string
field in the configuration data model.
It does not support traversal (e.g. `${foo}` with `foo` equal
to`${bar}`), hence "rudimentary".
This adds:
* Top level "artifacts" configuration key
* Support for notebooks (does language detection and upload)
* Merge of per-environment artifacts (or artifact overrides) into top level
Unit tests are now run in all three big OS.
Some of the changes are to make the tests green for windows while we are
skipping some of the other tests on windows/macOS to make the tests
pass. This is a temporary measure and we will incrementally migrate
these tests over so there is parity in unit testing along all three
environments!
While working on artifact upload and workspace interrogation I realized
this mutator interface needs to:
1. Operate at the whole bundle level so it can apply to both
configuration and internal state
2. Include a `context.Context` parameter for a) long running operations
and b) progress reporting
Previous interface:
```
Apply(*config.Root) ([]Mutator, error)
```
New interface:
```
Apply(context.Context, *Bundle) ([]Mutator, error)
```
Load a tree of configuration files anchored at `bundle.yml` into the
`config.Root` struct.
All mutations (from setting defaults to merging files) are observable
through the `mutator.Mutator` interface.