opentofu/terraform/context_import.go
Martin Atkins c937c06a03 terraform: ugly huge change to weave in new HCL2-oriented types
Due to how deeply the configuration types go into Terraform Core, there
isn't a great way to switch out to HCL2 gradually. As a consequence, this
huge commit gets us from the old state to a _compilable_ new state, but
does not yet attempt to fix any tests and has a number of known missing
parts and bugs. We will continue to iterate on this in forthcoming
commits, heading back towards passing tests and making Terraform
fully-functional again.

The three main goals here are:
- Use the configuration models from the "configs" package instead of the
  older models in the "config" package, which is now deprecated and
  preserved only to help us write our migration tool.
- Do expression inspection and evaluation using the functionality of the
  new "lang" package, instead of the Interpolator type and related
  functionality in the main "terraform" package.
- Represent addresses of various objects using types in the addrs package,
  rather than hand-constructed strings. This is not critical to support
  the above, but was a big help during the implementation of these other
  points since it made it much more explicit what kind of address is
  expected in each context.

Since our new packages are built to accommodate some future planned
features that are not yet implemented (e.g. the "for_each" argument on
resources, "count"/"for_each" on modules), and since there's still a fair
amount of functionality still using old-style APIs, there is a moderate
amount of shimming here to connect new assumptions with old, hopefully in
a way that makes it easier to find and eliminate these shims later.

I apologize in advance to the person who inevitably just found this huge
commit while spelunking through the commit history.
2018-10-16 18:46:46 -07:00

85 lines
2.3 KiB
Go

package terraform
import (
"github.com/hashicorp/terraform/addrs"
"github.com/hashicorp/terraform/configs"
"github.com/hashicorp/terraform/tfdiags"
)
// ImportOpts are used as the configuration for Import.
type ImportOpts struct {
// Targets are the targets to import
Targets []*ImportTarget
// Config is optional, and specifies a config tree that will be loaded
// into the graph and evaluated. This is the source for provider
// configurations.
Config *configs.Config
}
// ImportTarget is a single resource to import.
type ImportTarget struct {
// Addr is the address for the resource instance that the new object should
// be imported into.
Addr addrs.AbsResourceInstance
// ID is the ID of the resource to import. This is resource-specific.
ID string
// ProviderAddr is the address of the provider that should handle the import.
ProviderAddr addrs.AbsProviderConfig
}
// Import takes already-created external resources and brings them
// under Terraform management. Import requires the exact type, name, and ID
// of the resources to import.
//
// This operation is idempotent. If the requested resource is already
// imported, no changes are made to the state.
//
// Further, this operation also gracefully handles partial state. If during
// an import there is a failure, all previously imported resources remain
// imported.
func (c *Context) Import(opts *ImportOpts) (*State, tfdiags.Diagnostics) {
var diags tfdiags.Diagnostics
// Hold a lock since we can modify our own state here
defer c.acquireRun("import")()
// Copy our own state
c.state = c.state.DeepCopy()
// If no module is given, default to the module configured with
// the Context.
config := opts.Config
if config == nil {
config = c.config
}
// Initialize our graph builder
builder := &ImportGraphBuilder{
ImportTargets: opts.Targets,
Config: config,
Providers: c.components.ResourceProviders(),
}
// Build the graph!
graph, graphDiags := builder.Build(addrs.RootModuleInstance)
diags = diags.Append(graphDiags)
if graphDiags.HasErrors() {
return c.state, diags
}
// Walk it
_, walkDiags := c.walk(graph, walkImport)
diags = diags.Append(walkDiags)
if walkDiags.HasErrors() {
return c.state, diags
}
// Clean the state
c.state.prune()
return c.state, diags
}