Commit graph

18 commits

Author SHA1 Message Date
joeduffy
86dc13ed5b More term rotations
This changes a few naming things:

* Rename "husk" to "environment" (`coco env` for short).

* Rename NutPack/NutIL to CocoPack/CocoIL.

* Rename the primary Nut.yaml/json project file to Coconut.yaml/json.

* Rename the compiled Nutpack.yaml/json file to Cocopack.yaml/json.

* Rename the package asset directory from nutpack/ to .coconut/.
2017-03-06 14:32:39 +00:00
joeduffy
076d689a05 Rename Monikers to URNs
This change is mostly just a rename of Moniker to URN.  It does also
prefix resource URNs to have a standard URN namespace; in other words,
"urn🥥<name>", where <name> is the same as the prior Moniker.

This is a minor step that helps to prepare us for pulumi/coconut#109.
2017-03-02 17:10:10 -08:00
joeduffy
a4e806a07c Remember old moniker to ID mappings
For cerain update shapes, we will need to recover an ID of an already-deleted,
or soon-to-be-deleted resource; in those cases, we have a moniker but want to
serialize an ID.  This change implements support for remembering/recovering them.
2017-02-28 17:03:33 -08:00
joeduffy
6a2edc9159 Ensure configuration round-trips in Huskfiles 2017-02-28 15:43:46 -08:00
joeduffy
88fa0b11ed Checkpoint deployments
This change checkpoints deployments properly.  That is, even in the
face of partial failure, we should keep the huskfile up to date.  This
accomplishes that by tracking the state during plan application.

There are still ways in which this can go wrong, however.  Please see
pulumi/coconut#101 for additional thoughts on what we might do here
in the future to make checkpointing more robust in the face of failure.
2017-02-27 10:26:44 -08:00
joeduffy
2f60a414c7 Reorganize deployment commands
As part of pulumi/coconut#94 -- adding targeting capabilities -- I've
decided to (yet again) reorganize the deployment commands a bit.  This
makes targets ("husks") more of a first class thing.

Namely, you must first initialize a husk before using it:

    $ coco husk init staging
    Coconut husk 'staging' initialized; ready for deployments

Eventually, this is when you will be given a choice to configure it.
Afterwards, you can perform deployments.  The first one is like a create,
but subsequent ones just figure out the right thing to do and do it:

    $ ... make some changes ...
    $ coco husk deploy staging
    ... standard deployment progress spew ...

Finally, should you want to teardown an entire environment:

    $ coco husk destroy staging
    ... standard deletion progress spew for all resources ...
    Coconut husk 'staging' has been destroyed!
2017-02-26 11:20:14 -08:00
joeduffy
977b16b2cc Add basic targeting capability
This change partially implements pulumi/coconut#94, by adding the
ability to name targets during creation and reuse those names during
deletion and update.  This simplifies the management of deployment
records, checkpoints, and snapshots.

I've opted to call these things "husks" (perhaps going overboard with
joy after our recent renaming).  The basic idea is that for any
executable Nut that will be deployed, you have a nutpack/ directory
whose layout looks roughly as follows:

    nutpack/
        bin/
            Nutpack.json
            ... any other compiled artifacts ...
        husks/
            ... one snapshot per husk ...

For example, if we had a stage and prod husk, we would have:

    nutpack/
        bin/...
        husks/
            prod.json
            stage.json

In the prod.json and stage.json files, we'd have the most recent
deployment record for that environment.  These would presumably get
checked in and versioned along with the overall Nut, so that we
can use Git history for rollbacks, etc.

The create, update, and delete commands look in the right place for
these files automatically, so you don't need to manually supply them.
2017-02-25 09:24:52 -08:00
joeduffy
fbb56ab5df Coconut! 2017-02-25 07:25:33 -08:00
joeduffy
877fa131eb Detect duplicate object names
This change detects duplicate object names (monikers) and issues a nice
error message with source context include.  For example:

    index.ts(260,22): error MU2006: Duplicate objects with the same name:
        prod::ec2instance:index::aws:ec2/securityGroup:SecurityGroup::group

The prior code asserted and failed abruptly, whereas this actually points
us to the offending line of code:

    let group1 = new aws.ec2.SecurityGroup("group", { ... });
    let group2 = new aws.ec2.SecurityGroup("group", { ... });
                 ^^^^^^^^^^^^^^^^^^^^^^^^^
2017-02-24 16:03:06 -08:00
joeduffy
c120f62964 Redo object monikers
This change overhauls the way we do object monikers.  The old mechanism,
generating monikers using graph paths, was far too brittle and prone to
collisions.  The new approach mixes some amount of "automatic scoping"
plus some "explicit naming."  Although there is some explicitness, this
is arguably a good thing, as the monikers will be relatable back to the
source more readily by developers inspecting the graph and resource state.

Each moniker has four parts:

    <Namespace>::<AllocModule>::<Type>::<Name>

wherein each element is the following:

    <Namespace>     The namespace being deployed into
    <AllocModule>   The module in which the object was allocated
    <Type>          The type of the resource
    <Name>          The assigned name of the resource

The <Namespace> is essentially the deployment target -- so "prod",
"stage", etc -- although it is more general purpose to allow for future
namespacing within a target (e.g., "prod/customer1", etc); for now
this is rudimentary, however, see marapongo/mu#94.

The <AllocModule> is the token for the code that contained the 'new'
that led to this object being created.  In the future, we may wish to
extend this to also track the module under evaluation.  (This is a nice
aspect of monikers; they can become arbitrarily complex, so long as
they are precise, and not prone to false positives/negatives.)

The <Name> warrants more discussion.  The resource provider is consulted
via a new gRPC method, Name, that fetches the name.  How the provider
does this is entirely up to it.  For some resource types, the resource
may have properties that developers must set (e.g., `new Bucket("foo")`);
for other providers, perhaps the resource intrinsically has a property
that explicitly and uniquely qualifies the object (e.g., AWS SecurityGroups,
via `new SecurityGroup({groupName: "my-sg"}`); and finally, it's conceivable
that a provider might auto-generate the name (e.g., such as an AWS Lambda
whose name could simply be a hash of the source code contents).

This should overall produce better results with respect to moniker
collisions, ability to match resources, and the usability of the system.
2017-02-24 14:50:02 -08:00
joeduffy
86bfe5961d Implement updates
This change is a first whack at implementing updates.

Creation and deletion plans are pretty straightforward; we just take
a single graph, topologically sort it, and perform the operations in
the right order.  For creation, this is in dependency order (things
that are depended upon must be created before dependents); for deletion,
this is in reverse-dependency order (things that depend on others must
be deleted before dependencies).  These are just special cases of the more
general idea of performing DAG operations in dependency order.

Updates must work in terms of this more general notion.  For example:

* It is an error to delete a resource while another refers to it; thus,
  resources are deleted after deleting dependents, or after updating
  dependent properties that reference the resource to new values.

* It is an error to depend on a create a resource before it is created;
  thus, resources must be created before dependents are created, and/or
  before updates to existing resource properties that would cause them
  to refer to the new resource.

Of course, all of this is tangled up in a graph of dependencies.  As a
result, we must create a DAG of the dependencies between creates, updates,
and deletes, and then topologically sort this DAG, in order to determine
the proper order of update operations.

To do this, we slightly generalize the existing graph infrastructure,
while also specializing two kinds of graphs; the existing one becomes a
heapstate.ObjectGraph, while this new one is resource.planGraph (internal).
2017-02-23 14:56:23 -08:00
joeduffy
9c2013baf0 Implement resource snapshot deserialization 2017-02-22 14:32:03 -08:00
joeduffy
d4911ad6f6 Implement snapshot MuGL
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.
2017-02-21 18:31:43 -08:00
joeduffy
0efb8bdd69 Fix a few things
* Specify MinCount/MaxCount when creating an EC2 instance.  These
  are required properties on the RunInstances API.

* Only attempt to unmarshal egressArray/ingressArray when non-nil.

* Remember the context object on the instanceProvider.

* Move the moniker and object maps into the shared context object.

* Marshal object monikers as the resource IDs to which they refer,
  since monikers are useless on "the other side" of the RPC boundary.
  This ensures that, for example, the AWS provider gets IDs it can use.

* Add some paranoia assertions.
2017-02-20 13:55:09 -08:00
joeduffy
09c01dd942 Implement resource provider plugins
This change adds basic support for discovering, loading, binding to,
and invoking RPC methods on, resource provider plugins.

In a nutshell, we add a new context object that will share cached
state such as loaded plugins and connections to them.  It will be
a policy decision in server scenarios how much state to share and
between whom.  This context also controls per-resource context
allocation, which in the future will allow us to perform structured
cancellation and teardown amongst entire groups of requests.

Plugins are loaded based on their name, and can be found in one of
two ways: either simply by having them on your path (with a name of
"mu-ressrv-<pkg>", where "<pkg>" is the resource package name with
any "/"s replaced with "_"s); or by placing them in the standard
library installation location, which need not be on the path for this
to work (since we know precisely where to look).

If we find a protocol, we will load it as a child process.

The protocol for plugins is that they will choose a port on their
own -- to eliminate races that'd be involved should Mu attempt to
pre-pick one for them -- and then write that out as the first line
to STDOUT (terminated by a "\n").  This is the only STDERR/STDOUT
that Mu cares about; from there, the plugin is free to write all it
pleases (e.g., for logging, debugging purposes, etc).

Afterwards, we then bind our gRPC connection to that port, and create
a typed resource provider client.  The CRUD operations that get driven
by plan application are then simple wrappers atop the underlying gRPC
calls.  For now, we interpret all errors as catastrophic; in the near
future, we will probably want to introduce a "structured error"
mechanism in the gRPC interface for "transactional errors"; that is,
errors for which the server was able to recover to a safe checkpoint,
which can be interpreted as ResourceOK rather than ResourceUnknown.
2017-02-19 11:08:06 -08:00
joeduffy
6c25ff5cba Drive plan application
This moves us one step closer from planning to application (marapongo/mu#21).
Namely, we now drive the right resource provider operations in response to
the plan's steps.  Those providers, however, are still empty shells.
2017-02-18 11:54:24 -08:00
joeduffy
6f42e1134b Create object monikers
This change introduces object monikers.  These are unique, serializable
names that refer to resources created during the execution of a MuIL
program.  They are pretty darned ugly at the moment, but at least they
serve their desired purpose.  I suspect we will eventually want to use
more information (like edge "labels" (variable names and what not)),
but this should suffice for the time being.  The names right now are
particularly sensitive to simple refactorings.

This is enough for marapongo/mu#69 during the current sprint, although
I will keep the work item (in a later sprint) to think more about how
to make these more stable.  I'd prefer to do that with a bit of
experience under our belts first.
2017-02-18 10:22:04 -08:00
joeduffy
d9ee2429da Begin resource modeling and planning
This change introduces a new package, pkg/resource, that will form
the foundation for actually performing deployment plans and applications.

It contains the following key abstractions:

* resource.Provider is a wrapper around the CRUD operations exposed by
  underlying resource plugins.  It will eventually defer to resource.Plugin,
  which itself defers -- over an RPC interface -- to the actual plugin, one
  per package exposing resources.  The provider will also understand how to
  load, cache, and overall manage the lifetime of each plugin.

* resource.Resource is the actual resource object.  This is created from
  the overall evaluation object graph, but is simplified.  It contains only
  serializable properties, for example.  Inter-resource references are
  translated into serializable monikers as part of creating the resource.

* resource.Moniker is a serializable string that uniquely identifies
  a resource in the Mu system.  This is in contrast to resource IDs, which
  are generated by resource providers and generally opaque to the Mu
  system.  See marapongo/mu#69 for more information about monikers and some
  of their challenges (namely, designing a stable algorithm).

* resource.Snapshot is a "snapshot" taken from a graph of resources.  This
  is a transitive closure of state representing one possible configuration
  of a given environment.  This is what plans are created from.  Eventually,
  two snapshots will be diffable, in order to perform incremental updates.
  One way of thinking about this is that a snapshot of the old world's state
  is advanced, one step at a time, until it reaches a desired snapshot of
  the new world's state.

* resource.Plan is a plan for carrying out desired CRUD operations on a target
  environment.  Each plan consists of zero-to-many Steps, each of which has
  a CRUD operation type, a resource target, and a next step.  This is an
  enumerator because it is possible the plan will evolve -- and introduce new
  steps -- as it is carried out (hence, the Next() method).  At the moment, this
  is linearized; eventually, we want to make this more "graph-like" so that we
  can exploit available parallelism within the dependencies.

There are tons of TODOs remaining.  However, the `mu plan` command is functioning
with these new changes -- including colorization FTW -- so I'm landing it now.

This is part of marapongo/mu#38 and marapongo/mu#41.
2017-02-17 12:31:48 -08:00