## Changes
- Instead of constructing chains of mutators and then executing them,
execute them directly.
- Remove functionality related to chain-building: Seq, If, Defer,
newPhase, logString.
- Phases become functions that apply the changes directly rather than
construct mutator chains that will be called later.
- Add a helper ApplySeq to call multiple mutators, use it where
Apply+Seq were used before.
This is intended to be a refactoring without functional changes, but
there are a few behaviour changes:
- Since defer() is used to call unlock instead of bundle.Defer()
unlocking will now happen even in case of panics.
- In --debug, the phase names are are still logged once before start of
the phase but each entry no longer has 'seq' or phase name in it.
- The message "Deployment complete!" was printed even if
terraform.Apply() mutator had an error. It no longer does that.
## Motivation
The use of the chains was necessary when mutators were returning a list
of other mutators instead of calling them directly. But that has since
been removed, so now the chain machinery have no purpose anymore.
Use of direct functions simplifies the logic and makes bugs more
apparent and easy to fix.
Other improvements that this unlocks:
- Simpler stacktraces/debugging (breakpoints).
- Use of functions with narrowly scoped API: instead of mutators that
receive full bundle config, we can use focused functions that only deal
with sections they care about prepareGitSettings(currentGitSection) ->
updatedGitSection. This makes the data flow more apparent.
- Parallel computations across mutators (within phase): launch
goroutines fetching data from APIs at the beggining, process them once
they are ready.
## Tests
Existing tests.
## Changes
Previously using python wheel tasks in the tasks with compute referering
to interactive cluster defied in the same bundle would produce a warning
like below
```
GET /api/2.1/clusters/get?cluster_id=${resources.clusters.development_cluster.id}
< HTTP/2.0 400 Bad Request
< {
< "error_code": "INVALID_PARAMETER_VALUE",
< "message": "Cluster ${resources.clusters.development_cluster.id} does not exist"
< } pid=14465 mutator=seq mutator=initialize mutator=seq mutator=PythonWrapperWarning sdk=true
```
This PR fixes it by making sure that we check spark version for such
clusters based on its bundle configuration and don't make API calls
## Tests
Added acceptance test
## Changes
Enable gofumpt and goimports in golangci-lint and apply autofix.
This makes 'make fmt' redundant, will be cleaned up in follow up diff.
## Tests
Existing tests.
## Changes
This change adds a preset for source-linked deployments. It is enabled
by default for targets in `development` mode **if** the Databricks CLI
is running from the `/Workspace` directory on DBR. It does not have an
effect when running the CLI anywhere else.
Key highlights:
1. Files in this mode won't be uploaded to workspace
2. Created resources will use references to source files instead of
their workspace copies
## Tests
1. Apply preset unit test covering conditional logic
2. High-level process target mode unit test for testing integration
between mutators
---------
Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com>
## Changes
After introducing the `SyncRootPath` field on the bundle (#1694), the
previous `RootPath` became ambiguous. Does it mean the bundle root path
or the sync root path? This PR renames to field to `BundleRootPath` to
remove the ambiguity.
## Tests
n/a
---------
Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com>