In some cases, we want to specialize template generation based on
the options passed to the compiler. This change flows them through
so that they can be accessed as
{{if .Options.SomeSetting}}
...
{{end}}
This change moves parse-tree analysis into the Parse* functions, so that
any callers doing parsing don't need to do this as a multi-step activity.
(We had neglected to do the parse-tree analysis phase during dependency
resolution, for example, meaning services were left untyped.)
This change detects the target cloud earlier on in the compilation process.
Prior to this change, we didn't know this information until the backend code-generation.
Clearly we need to know this at least by then, however, templates can specialize on this
information, so we actually need it sooner. This change moves it into the frontend part.
Note that to support this we now eliminate the ability to specify target clusters in
the Mufile alone. That "feels" right to me anyway, since Mufiles are supposed to be
agnostic to their deployment environment, other than template specialization. Instead,
this information can come from the CLI and/or the workspace settings file.
This change adds a super simple initial whack at a basic cluster topology
comprised of VPC, subnet, internet gateway, attachments, and route tables.
This is actually written in Mu itself, and I am committing this early, since
there are quite a few features required before we can actually make progress
getting this up and running.
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 a new Diagable interface from which you can obtain
a diagnostic's location information (Document and Location). A new
At function replaces WithDocument, et al., and will be used soon to
permit all arbitrary AST nodes to report back their position.
This change completes the implementation of dependency and type binding.
The top-level change here is that, during the first semantic analysis AST walk,
we gather up all unknown dependencies. Then the compiler resolves them, caching
the lookups to ensure that we don't load the same stack twice. Finally, during
the second and final semantic analysis AST walk, we populate the bound nodes
by looking up what the compiler resolved for us.
This change implements dependency versions, including semantic analysis, per the
checkin 83030685c3.
There's quite a bit in here but at a top-level this parses and validates dependency
references of the form
[[proto://]base.url]namespace/.../name[@version]
and verifies that the components are correct, as well as binding them to symbols.
These references can appear in two places at the moment:
* Service types.
* Cluster dependencies.
As part of this change, a number of supporting changes have been made:
* Parse Workspaces using a full-blown parser, parser analysis, and semantic analysis.
This allows us to share logic around the validation of common AST types. This also
moves some of the logic around loading workspace.yaml files back to the parser, where
it can be unified with the way we load Mu.yaml files.
* New ast.Version and ast.VersionSpec types. The former represents a precise version
-- either a specific semantic version or a short or long Git SHA hash -- and the
latter represents a range -- either a Version, "latest", or a semantic range.
* New ast.Ref and ast.RefParts types. The former is an unparsed string that is
thought to contain a Ref, while the latter is a validated Ref that has been parsed
into its components (Proto, Base, Name, and Version).
* Added some type assertions to ensure certain structs implement certain interfaces,
to speed up finding errors. (And remove the coercions that zero-fill vtbl slots.)
* Be consistent about prefixing error types with Error or Warning.
* Organize the core compiler driver's logic into three methods, FE, sema, and BE.
* A bunch of tests for some of the above ... more to come in an upcoming change.
Right now, the AWS ECS scheduler simply passes through to the underlying
AWS cloud provider. However, now we have the necessary hooks to start
incrementally recognizing stack types and emitting specialized code for
them (e.g., starting with mu/container).
This change adds code-generation for Stack references other than the built-in types.
This permits you to bind to a dependency and have it flow all the way through to the
code-generation phases. It still most likely bottoms out on something that fails,
however for pure AWS resources like aws/s3/bucket everything now works.
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 change includes logic to resolve dependencies declared by stacks. The design
is described in https://github.com/marapongo/mu/blob/master/docs/deps.md.
In summary, each stack may declare dependencies, which are name/semver pairs. A
new structure has been introduced, ast.Ref, to distinguish between ast.Names and
dependency names. An ast.Ref includes a protocol, base part, and a name part (the
latter being an ast.Name); for example, in "https://hub.mu.com/mu/container/",
"https://" is the protocol, "hub.mu.com/" is the base, and "mu/container" is the
name. This is used to resolve URL-like names to package manager-like artifacts.
The dependency resolution phase happens after parsing, but before semantic analysis.
This is because dependencies are "source-like" in that we must load and parse all
dependency metadata files. We stick the full transitive closure of dependencies
into a map attached to the compiler to avoid loading dependencies multiple times.
Note that, although dependencies prohibit cycles, this forms a DAG, meaning multiple
inbound edges to a single stack may come from multiple places.
From there, we rely on ordinary visitation to deal with dependencies further.
This includes inserting symbol entries into the symbol table, mapping names to the
loaded stacks, during the first phase of binding so that they may be found
subsequently when typechecking during the second phase and beyond.
This change introduces a Workspace interface that can be used as a first
class object. We will embellish this as we start binding to dependencies,
which requires us to search multiple paths. This change also introduces a
workspace.InstallRoot() function to fetch the Mu install path.
This change moves the workspace and Mufile detection logic out of the compiler
package and into the workspace one.
This also sketches out the overall workspace structure. A workspace is "delimited"
by the presence of a .mu/ directory anywhere in the parent ancestry. Inside of that
directory we have an optional .mu/clusters.yaml (or .json) file containing cluster
settings shared among the whole workspace. We also have an optional .mu/stacks/
directory that contains dependencies used during package management.
The notion of a "global" workspace will also be present, which is essentially just
a .mu/ directory in your home, ~/.mu/, that has an equivalent structure, but can be
shared among all workspaces on the same machine.
This change mostly replaces explicit if/then/glog.Fatalf calls with
util.Assert calls. In addition, it adds a companion util.Fail family
of methods that does the same thing as a failed assertion, except that
it is unconditional.
This change eliminates the diag.Sink field, Diag, on the Compiland struct.
Instead, we should provide it at backend provider construction time. This
is consistent with how other phases of the compiler work and also ensures
the backends can properly implement the core.Phase interface.
This change rejiggers a few things so that we can more clearly introduce
a boundary between front- and back-end compiler phases, including sharing more,
like a diagnostics sink. Future extensions will include backend code-generation
options.
This change includes a few steps towards AWS backend code-generation:
* Add a BoundDependencies property to ast.Stack to remember the *ast.Stack
objects bound during Stack binding.
* Make a few CloudFormation properties optional (cfOutput Export/Condition).
* Rename clouds.ArchMap, clouds.ArchNames, schedulers.ArchMap, and
schedulers.ArchNames to clouds.Values, clouds.Names, schedulers.Values,
and schedulers.Names, respectively. This reads much nicer to my eyes.
* Create a new anonymous ast.Target for deployments if no specific target
was specified; this is to support quick-and-easy "one off" deployments,
as will be common when doing local development.
* Sketch out more of the AWS Cloud implementation. We actually map the
Mu Services into CloudFormation Resources; well, kinda sorta, since we
don't actually have Service-specific logic in here yet, however all of
the structure and scaffolding is now here.
This change adds a Backend Phase to the compiler, implemented by each of the
cloud/scheduler implementations. It also reorganizes some of the modules to
ensure we can do everything we need without cycles, including introducing the
mu/pkg/compiler/backends package, under which the clouds/ and schedulers/
sub-packages now reside. The backends.New(Arch) factory function acts as the
entrypoint into the entire thing so callers can easily create new Backend instances.
This change is more consistent with our approach to file extensions
elsewhere in the compiler, and prevents an explosion of APIs should we
ever want to support more.
This adds some tests around cloud targeting, in addition to enabling builds
to use in-memory Mufiles (mostly to make testing simpler, but this is a
generally useful capability to have when hosting the compiler API).
This change implements most of the cloud target and architecture detection
logic, along with associated verification and a bunch of new error messages.
There are two settings for picking a cloud destination:
* Architecture: this specifies the combination of cloud (e.g., AWS, GCP, etc)
plus scheduler (e.g., none, Swarm, ECS, etc).
* Target: a named, preconfigured entity that includes both an Architecture and
an assortment of extra default configuration options.
The general idea here is that you can preconfigure a set of Targets for
named environments like "prod", "stage", etc. Those can either exist in a
single Mufile, or the Mucluster file if they are shared amongst multiple
Mufiles. This can be specified at the command line as such:
$ mu build --target=stage
Furthermore, a given environment may be annointed the default, so that
$ mu build
selects that environment without needing to say so explicitly.
It is also possible to specify an architecture at the command line for
scenarios where you aren't intending to target an existing named environment.
This is good for "anonymous" testing scenarios or even just running locally:
$ mu build --arch=aws
$ mu build --arch=aws:ecs
$ mu build --arch=local:kubernetes
$ .. and so on ..
This change does little more than plumb these settings around, verify them,
etc., however it sets us up to actually start dispating to the right backend.
This change creates a new mu/pkg/compiler/core package for any fundamental
compiler types that need to be shared among the various compiler packages
(.../compiler, .../compiler/clouds/..., and .../compiler/schedulers/...).
This avoids package cycles.
This adds two packages:
mu/pkg/compiler/clouds
mu/pkg/compiler/schedulers
And introduces enums for the cloud targets we expect to support.
It also adds the ability at the command line to specify a provider;
for example:
$ mu build --target=aws # AWS native
$ mu build --target=aws:ecs # AWS ECS
$ mu build -t=gcp:kubernetes # Kube on GCP
This change introduces a check during parse-tree analysis that dependencies
are valid, along with some tests. Note that this could technically happen later
during semantic analysis and I will likely move it so that we can get better
diagnostics (more errors before failing). I've also cleaned up and unified some
of the logic by introducing the general notion of a Visitor interface, which the
parse tree analyzer, binder, and analyzers to come will all implement.
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.
This change adds a few more compiler tests and rearranges some bits and pieces
that came up while doing so. For example, we now issue warnings for incorrect
casing and/or extensions of the Mufile (and test these conditions). As part of
doing that, it became clear the layering between the mu/compiler and mu/workspace
packages wasn't quite right, so some logic got moved around; additionally, the
separation of concerns between mu/workspace and mu/schema wasn't quite right, so
this has been fixed also (workspace just understands Mufile related things while
schema understands how to unmarshal the specific supported extensions).
This change includes some progress on actual compilation (albeit with several
TODOs remaining before we can actually spit out a useful artifact). There are
also some general cleanups sprinkled throughout. In a nutshell:
* Add a compiler.Context object that will be available during template expansion.
* Introduce a diag.Document abstraction. This is better than passing raw filenames
around, and lets us embellish diagnostics as we go. In particular, we will be
in a better position to provide line/column error information.
* Move IO out of the Parser and into the Compiler, where it can cache and reuse
Documents. This will become important as we start to load up dependencies.
* Rename PosRange to Location. This reads nicer with the new Document terminology.
* Rename the mu/api package to mu/schema. It's likely we will need to introduce a
true AST that is decoupled from the serialization format and contains bound nodes.
As a result, treating the existing types as "schema" is more honest.
* Add in a big section of TODOs at the end of the compiler.Compiler.Build function.
* Rename Meta to Metadata.
* Rename Target's CloudOS and CloudScheduler properties to Cloud
and Scheduler, respectively. Also rename Target's JSON properties
to match (they had drifted); they are now "cloud" and "scheduler".
* Rename Diags() to Diag() on the Compiler and Parser interfaces.
* Rename defaultDiags to defaultSink, to match the interface name.
* Add a few useful logging outputs.
This adds a bunch of general scaffolding and the beginning of a `build` command.
The general engineering scaffolding includes:
* Glide for dependency management.
* A Makefile that runs govet and golint during builds.
* Google's Glog library for logging.
* Cobra for command line functionality.
The Mu-specific scaffolding includes some packages:
* mu/pkg/diag: A package for compiler-like diagnostics. It's fairly barebones
at the moment, however we can embellish this over time.
* mu/pkg/errors: A package containing Mu's predefined set of errors.
* mu/pkg/workspace: A package containing workspace-related convenience helpers.
in addition to a main entrypoint that simply wires up and invokes the CLI. From
there, the mu/cmd package takes over, with the Cobra-defined CLI commands.
Finally, the mu/pkg/compiler package actually implements the compiler behavior.
Or, it will. For now, it simply parses a JSON or YAML Mufile into the core
mu/pkg/api types, and prints out the result.
