Instead of doing the logic to see if a type has YAML tags and then
dispatching based on that to use either the direct go-yaml marshaller
or the one that works in terms of JSON tags, let's just say that we
always add YAML tags as well, and use go-yaml directly.
This change eliminates the need to constantly type in the environment
name when performing major commands like configuration, planning, and
deployment. It's probably due to my age, however, I keep fat-fingering
simple commands in front of investors and I am embarrassed!
In the new model, there is a notion of a "current environment", and
I have modeled it kinda sorta just like Git's notion of "current branch."
By default, the current environment is set when you `init` something.
Otherwise, there is the `coco env select <env>` command to change it.
(Running this command w/out a new <env> will show you the current one.)
The major commands `config`, `plan`, `deploy`, and `destroy` will prefer
to use the current environment, unless it is overridden by using the
--env flag. All of the `coco env <cmd> <env>` commands still require the
explicit passing of an environment which seems reasonable since they are,
after all, about manipulating environments.
As part of this, I've overhauled the aging workspace settings cruft,
which had fallen into disrepair since the initial prototype.
This change adds support for serializing snapshots in MuGL, per the
design document in docs/design/mugl.md. At the moment, it is only
exposed from the `mu plan` command, which allows you to specify an
output location using `mu plan --output=file.json` (or `-o=file.json`
for short). This serializes the snapshot with monikers, resources,
and so on. Deserialization is not yet supported; that comes next.
This change properly transforms literal AST nodes during code-gen.
This includes emitting CloudFormation !Refs where appropriate, for
intra-stack references (capability types).
This change performs template expansion both for root stack documents in
addition to the transitive closure of dependencies. There are many ongoing
design and implementation questions about how this should actually work;
please see marapongo/mu#7 for a discussion of them.
This change adds support for Workspaces, a convenient way of sharing settings
among many Stacks, like default cluster targets, configuration settings, and the
like, which are not meant to be distributed as part of the Stack itself.
The following things are included in this checkin:
* At workspace initialization time, detect and parse the .mu/workspace.yaml
file. This is pretty rudimentary right now and contains just the default
cluster targets. The results are stored in a new ast.Workspace type.
* Rename "target" to "cluster". This impacts many things, including ast.Target
being changed to ast.Cluster, and all related fields, the command line --target
being changed to --cluster, various internal helper functions, and so on. This
helps to reinforce the desired mental model.
* Eliminate the ast.Metadata type. Instead, the metadata moves directly onto
the Stack. This reflects the decision to make Stacks "the thing" that is
distributed, versioned, and is the granularity of dependency.
* During cluster targeting, add the workspace settings into the probing logic.
We still search in the same order: CLI > Stack > Workspace.
This is another change of mostly placeholders.
In general, there will be three kinds of types handled by code-generation:
* Mu primitives will be expanded into AWS goo in a very specialized way, to
accomplish the desired Mu semantics for those abstractions.
* AWS-specific extension types (mu/extension) will be recognized, so that we
can create special AWS resources like S3 buckets, DynamoDB tables, etc.
* Anything else is interpreted as a reference to another stack that will be
instantiated at deployment time (basically through template expansion).
This change does rearrange two noteworthy things in the core compiler, however:
first, it creates a place for bound nodes in the public and private service
references, so that the backend can access the raw stack types behind them; and
second, it moves the predefined types underneath their own package to avoid cycles.
This change begins to lay the groundwork for doing semantic analysis and
lowering to the cloud target's representation. In particular:
* Split the mu/schema package. There is now mu/ast which contains the
core types and mu/encoding which concerns itself with JSON and YAML
serialization.
* Notably I am *not* yet introducing a second AST form. Instead, we will
keep the parse tree and AST unified for the time being. I envision very
little difference between them -- at least for now -- and so this keeps
things simpler, at the expense of two downsides: 1) the trees will be
mutable (which turns out to be a good thing for performance), and 2) some
fields will need to be ignored during de/serialization. We can always
revisit this later when and if the need to split them arises.
* Add a binder phase. It is currently a no-op.
