This won't be a typical usage pattern for normal code, but will be useful
for tests that need to work with locks as input so that they don't need to
write out a temporary file on disk just to read it back in immediately.
In this case, "atomic" means that there will be no situation where the
file contains only part of the newContent data, and therefore other
software monitoring the file for changes (using a mechanism like inotify)
won't encounter a truncated file.
It does _not_ mean that there can't be existing filehandles open against
the old version of the file. On Windows systems the write will fail in
that case, but on Unix systems the write will typically succeed but leave
the existing filehandles still pointing at the old version of the file.
They'll need to reopen the file in order to see the new content.
Previously we were just letting hclwrite do its default formatting
behavior here. The current behavior there isn't ideal anyway -- it puts
big data structures all on one line -- but even ignoring that our goal
for this file format is to keep things in a highly-normalized shape so
that diffs against the file are clear and easy to read.
With that in mind, here we directly control how we write that value into
the file, which means that later changes to hclwrite's list/set
presentation won't affect it, regardless of what form they take.
The logic for what constitutes a valid hash and how different hash schemes
are represented was starting to get sprawled over many different files and
packages.
Consistently with other cases where we've used named types to gather the
definition of a particular string into a single place and have the Go
compiler help us use it properly, this introduces both getproviders.Hash
representing a hash value and getproviders.HashScheme representing the
idea of a particular hash scheme.
Most of this changeset is updating existing uses of primitive strings to
uses of getproviders.Hash. The new type definitions are in
internal/getproviders/hash.go.
Although origin registries return specific [filename, hash] pairs, our
various different installation methods can't produce a structured mapping
from platform to hash without breaking changes.
Therefore, as a compromise, we'll continue to do platform-specific checks
against upstream data in the cases where that's possible (installation
from origin registry or network mirror) but we'll treat the lock file as
just a flat set of equally-valid hashes, at least one of which must match
after we've completed whatever checks we've made against the
upstream-provided checksums/signatures.
This includes only the minimal internal/getproviders updates required to
make this compile. A subsequent commit will update that package to
actually support the idea of verifying against multiple hashes.
It doesn't make sense for a built-in provider to appear in a lock file
because built-in providers have no version independent of the version of
Terraform they are compiled into.
We also exclude legacy providers here, because they were supported only
as a transitional aid to enable the Terraform 0.13 upgrade process and
are not intended for explicit selection.
The provider installer will, once it's updated to understand dependency
locking, use this concept to decide which subset of its selections to
record in the dependency lock file for reference for future installation
requests.
This is an initial implementation of writing locks back to a file on disk.
This initial implementation is incomplete because it does not write the
changes to the new file atomically. We'll revisit that in a later commit
as we return to polish these codepaths, once we've proven out this
package's design by integrating it with Terraform's provider installer.
This is the initial implementation of the parser/decoder portion of the
new dependency lock file handler. It's currently dead code because the
caller isn't written yet. We'll continue to build out this functionality
here until we have the basic level of both load and save functionality
before introducing this into the provider installer codepath.