These changes implement `GetRequiredPlugins` for Go using a registry
mechanism and an alternate entry point for `pulumi.Run`. Packages that
require plugins are expected to register themselves with the Pulumi SDK.
When `pulumi.Run` is used and the `PULUMI_PLUGINS` envvar is truthy, the
program will dump a JSON-encoded description of its required plugins to
stdout. The language host then uses this description to respond to
These changes implement `GetRequiredPlugins` for Go using a registry
mechanism and an alternate entry point for `pulumi.Run`. Packages that
require plugins are expected to register themselves with the Pulumi SDK.
When `pulumi.Run` is used and the `PULUMI_PLUGINS` envvar is truthy, the
program will dump a JSON-encoded description of its required plugins to
stdout. The language host then uses this description to respond to
`GetRequiredPlugins`.
* started transformations for go sdk
* added first basic test
* added second test with child
* added RegisterStackTransformation
* added a couple tests to lifecycle_test
* update CHANGELOG and test
* included TODO for #3846
In preparation for publishing a separate module of the Go SDK for Pulumi
on which providers can depend, we should reduce the dependency footprint
so as to cause end users as few issues as possible with transitive
dependency versioning.
This commit removes all use of `github.com/pkg/errors` from the Go SDK
to that end, replacing it with the standard `errors` package and `fmt`
for error formatting where appropriate. We use the new (as of Go 1.13)
"%w" syntax for wrapping errors, so this code is no longer compatible
with Go 1.12.
- Do not set top-level properties that were not provided
- Check for nil after awaiting inputs
- Check for interface-typed values, which can be produced by `Any`
- Pass a settable value to `awaitInputs` in `Any`
For example, pulumi.String also implements pulumi.StringPtr. This is
consistent with the output of the code generator, and makes optional
inputs much more ergonomic.
This assert is not correct in the case of pointer input types, in
particular `pulumi.stringPtr`. Though these types are not assignable,
they are convertible.
The redesign is focused around providing better static typings and
improved ease-of-use for the Go SDK. Most of the redesign revolves
around three pivots:
- Strongly-typed inputs, especially for nested types
- Struct-based resource and invoke APIs
- Ease-of-use of Apply
1. Strongly-typed inputs
Input is the type of a generic input value for a Pulumi resource.
This type is used in conjunction with Output to provide polymorphism
over strongly-typed input values.
The intended pattern for nested Pulumi value types is to define an
input interface and a plain, input, and output variant of the value
type that implement the input interface.
For example, given a nested Pulumi value type with the following shape:
```
type Nested struct {
Foo int
Bar string
}
```
We would define the following:
```
var nestedType = reflect.TypeOf((*Nested)(nil)).Elem()
type NestedInput interface {
pulumi.Input
ToNestedOutput() NestedOutput
ToNestedOutputWithContext(context.Context) NestedOutput
}
type Nested struct {
Foo int `pulumi:"foo"`
Bar string `pulumi:"bar"`
}
type NestedInputValue struct {
Foo pulumi.IntInput `pulumi:"foo"`
Bar pulumi.StringInput `pulumi:"bar"`
}
func (NestedInputValue) ElementType() reflect.Type {
return nestedType
}
func (v NestedInputValue) ToNestedOutput() NestedOutput {
return pulumi.ToOutput(v).(NestedOutput)
}
func (v NestedInputValue) ToNestedOutputWithContext(ctx context.Context) NestedOutput {
return pulumi.ToOutputWithContext(ctx, v).(NestedOutput)
}
type NestedOutput struct { *pulumi.OutputState }
func (NestedOutput) ElementType() reflect.Type {
return nestedType
}
func (o NestedOutput) ToNestedOutput() NestedOutput {
return o
}
func (o NestedOutput) ToNestedOutputWithContext(ctx context.Context) NestedOutput {
return o
}
func (o NestedOutput) Foo() pulumi.IntOutput {
return o.Apply(func (v Nested) int {
return v.Foo
}).(pulumi.IntOutput)
}
func (o NestedOutput) Bar() pulumi.StringOutput {
return o.Apply(func (v Nested) string {
return v.Bar
}).(pulumi.StringOutput)
}
```
The SDK provides input and output types for primitives, arrays, and
maps.
2. Struct-based APIs
Instead of providing expected output properties in the input map passed
to {Read,Register}Resource and returning the outputs as a map, the user
now passes a pointer to a struct that implements one of the Resource
interfaces and has appropriately typed and tagged fields that represent
its output properties.
For example, given a custom resource with an int-typed output "foo" and
a string-typed output "bar", we would define the following
CustomResource type:
```
type MyResource struct {
pulumi.CustomResourceState
Foo pulumi.IntOutput `pulumi:"foo"`
Bar pulumi.StringOutput `pulumi:"bar"`
}
```
And invoke RegisterResource like so:
```
var resource MyResource
err := ctx.RegisterResource(tok, name, props, &resource, opts...)
```
Invoke arguments and results are also provided via structs, but use
plain-old Go types for their fields:
```
type MyInvokeArgs struct {
Foo int `pulumi:"foo"`
}
type MyInvokeResult struct {
Bar string `pulumi:"bar"`
}
var result MyInvokeResult
err := ctx.Invoke(tok, MyInvokeArgs{Foo: 42}, &result, opts...)
```
3. Ease-of-use of Apply
All `Apply` methods now accept an interface{} as the callback type.
The provided callback value must have one of the following signatures:
func (v T) U
func (v T) (U, error)
func (ctx context.Context, v T) U
func (ctx context.Context, v T) (U, error)
T must be assignable from the ElementType of the Output. If U is a type
that has a registered Output type, the result of the Apply will be the
corresponding Output type. Otherwise, the result of the Apply will be
AnyOutput.
Fixes https://github.com/pulumi/pulumi/issues/2149.
Fixes https://github.com/pulumi/pulumi/issues/3488.
Fixes https://github.com/pulumi/pulumi/issues/3487.
Fixes https://github.com/pulumi/pulumi-aws/issues/248.
Fixes https://github.com/pulumi/pulumi/issues/3492.
Fixes https://github.com/pulumi/pulumi/issues/3491.
Fixes https://github.com/pulumi/pulumi/issues/3562.
- Use a mutex + condition variable instead of a channel for
synchronizaiton in order to allow multiple calls to resolve/reject
- Properly handle outputs that are resolved to other outputs, especially
if those outputs are not of exactly type Output
- Remove the Value() methods that allowed prompt access to output values
- Add variants of `Apply` that take a context parameter
- Ensure that resource outputs properly incorporate their resource as
a dependency
- Make `Output` a plain struct. Uninitialized outputs will be treated as
resolved and unknown. This makes conversions between output
types more ergonomic.
Contributes to #3492.
* Fix some tracing issues.
- Add endpoints for `startUpdate` and `postEngineEventsBatch` so that
spans for these invocations have proper names
- Inject a tracing span when walking a plan so that resource operations
are properly parented
- When handling gRPC calls, inject a tracing span into the call's
metadata if no span is already present so that resource monitor and
engine spans are properly parented
- Do not trace client gRPC invocations of the empty method so that these
calls (which are used to determine server availability) do not muddy
the trace. Note that I tried parenting these spans appropriately, but
doing so broke the trace entirely.
With these changes, the only unparented span in a typical Pulumi
invocation is a single call to `getUser`. This span is unparented
because that call does not have a context available. Plumbing a context
into that particular call is surprisingly tricky, as it is often called
by other context-less functions.
* Make tracing support more flexible.
- Add support for writing trace data to a local file using Appdash
- Add support for viewing Appdash traces via the CLI
This package's flags conflict with those in google/glog. Replace all
references to this package with references to
pulumi/pulumi/pkg/util/logging, and change that package to explicitly
call `flag.CommandLine.Parse` with an empty slice.
This should make it much easier to consume these packages in downstream
repos that have direct or indirect dependencies on google/glog.
* Plumbing the custom timeouts from the engine to the providers
* Plumbing the CustomTimeouts through to the engine and adding test to show this
* Change the provider proto to include individual timeouts
* Plumbing the CustomTimeouts from the engine through to the Provider RPC interface
* Change how the CustomTimeouts are sent across RPC
These errors were spotted in testing. We can now see that the timeout
information is arriving in the RegisterResourceRequest
```
req=&pulumirpc.RegisterResourceRequest{
Type: "aws:s3/bucket:Bucket",
Name: "my-bucket",
Parent: "urn:pulumi:dev::aws-vpc::pulumi:pulumi:Stack::aws-vpc-dev",
Custom: true,
Object: &structpb.Struct{},
Protect: false,
Dependencies: nil,
Provider: "",
PropertyDependencies: {},
DeleteBeforeReplace: false,
Version: "",
IgnoreChanges: nil,
AcceptSecrets: true,
AdditionalSecretOutputs: nil,
Aliases: nil,
CustomTimeouts: &pulumirpc.RegisterResourceRequest_CustomTimeouts{
Create: 300,
Update: 400,
Delete: 500,
XXX_NoUnkeyedLiteral: struct {}{},
XXX_unrecognized: nil,
XXX_sizecache: 0,
},
XXX_NoUnkeyedLiteral: struct {}{},
XXX_unrecognized: nil,
XXX_sizecache: 0,
}
```
* Changing the design to use strings
* CHANGELOG entry to include the CustomTimeouts work
* Changing custom timeouts to be passed around the engine as converted value
We don't want to pass around strings - the user can provide it but we want
to make the engine aware of the timeout in seconds as a float64
A resource can be imported by setting the `import` property in the
resource options bag when instantiating a resource. In order to
successfully import a resource, its desired configuration (i.e. its
inputs) must not differ from its actual configuration (i.e. its state)
as calculated by the resource's provider.
There are a few interesting state transitions hiding here when importing
a resource:
1. No prior resource exists in the checkpoint file. In this case, the
resource is simply imported.
2. An external resource exists in the checkpoint file. In this case, the
resource is imported and the old external state is discarded.
3. A non-external resource exists in the checkpoint file and its ID is
different from the ID to import. In this case, the new resource is
imported and the old resource is deleted.
4. A non-external resource exists in the checkpoint file, but the ID is
the same as the ID to import. In this case, the import ID is ignored
and the resource is treated as it would be in all cases except for
changes that would replace the resource. In that case, the step
generator issues an error that indicates that the import ID should be
removed: were we to move forward with the replace, the new state of
the stack would fall under case (3), which is almost certainly not
what the user intends.
Fixes#1662.
We changed the `pulumi update` command to be `pulumi up` a while back
(`update` is an alias of `up`). This change just makes it so we refer to
the actual command, `pulumi up`, instead of the older `pulumi update`.
These changes add a new flag to the various `ResourceOptions` types that
indicates that a resource should be deleted before it is replaced, even
if the provider does not require this behavior. The usual
delete-before-replace cascade semantics apply.
Fixes#1620.
- Add support for per-property dependencies to the Go SDK
- Add tests for first-class secret rejection in the checkpoint and RPC
layers and language SDKs
This implements the new algorithm for deciding which resources must be
deleted due to a delete-before-replace operation.
We need to compute the set of resources that may be replaced by a
change to the resource under consideration. We do this by taking the
complete set of transitive dependents on the resource under
consideration and removing any resources that would not be replaced by
changes to their dependencies. We determine whether or not a resource
may be replaced by substituting unknowns for input properties that may
change due to deletion of the resources their value depends on and
calling the resource provider's Diff method.
This is perhaps clearer when described by example. Consider the
following dependency graph:
A
__|__
B C
| _|_
D E F
In this graph, all of B, C, D, E, and F transitively depend on A. It may
be the case, however, that changes to the specific properties of any of
those resources R that would occur if a resource on the path to A were
deleted and recreated may not cause R to be replaced. For example, the
edge from B to A may be a simple dependsOn edge such that a change to
B does not actually influence any of B's input properties. In that case,
neither B nor D would need to be deleted before A could be deleted.
In order to make the above algorithm a reality, the resource monitor
interface has been updated to include a map that associates an input
property key with the list of resources that input property depends on.
Older clients of the resource monitor will leave this map empty, in
which case all input properties will be treated as depending on all
dependencies of the resource. This is probably overly conservative, but
it is less conservative than what we currently implement, and is
certainly correct.
We run the same suite of changes that we did on gometalinter. This
ended up catching a few new issues, some of which were addressed and
some of which were baselined.
1. Add support for first-class providers
2. Make `pulumi.ResourceState` conform to the `pulumi.Resource` interface
3. Wait for inputs to resolve inside RPC goroutines rather than doing so
before starting the goroutines
Note that (2) involves a breaking change to `pulumi.ResourceState` that
will require adjusting `tfgen`'s code generation.
Fixes https://github.com/pulumi/pulumi-terraform/issues/256
Contributes to #1713
This introduces a Dockerfile for the Pulumi CLI. This makes it
easier to develop and test the engine in a self-contained environment,
in addition to being suitable for running the actual CLI itself.
For instance,
$ docker run pulumi/pulumi -e "PULUMI_ACCESS_TOKEN=x" up
will run the Pulumi program mounted under the /app volume. This will
be used in some upcoming CI/CD scenarios.
This uses multi-stage builds, and Debian Stretch as the base, for
relatively fast and lean build times and resulting images. We are
intentional about restoring dep packages independent of the actual
source code so that we don't end up needlessly re-depping, which can
consume quite a bit of time. After fixing
https://github.com/pulumi/pulumi/issues/1986, we should explore an
Alpine base image option.
I made the decision to keep this image scoped to just the Go builds.
Therefore, none of the actual SDK packages themselves are built, just
the engine, CLI, and language plugins for Node.js, Python, and Go.
It's possible to create a mega-container that has all of these full
environments so that we can rebuild them too, but for now I figured
it was better to rely on package management for them.
Another alternative would have been to install released binaries,
rather than building them. To keep the useful flow for development,
however, I decided to go the build route for now. If we build at the
same hashes, the resulting binaries "should" be ~identical anyhow.
I've created a pulumi/pulumi Docker Hub repo that we can publish this
into. For now, there is no CI publishing of the image.
This fixespulumi/pulumi#1991.
* Search for Go project executables in more places than just $PATH
This searches the following in preferred order:
1. Local directory
2. $GOPATH/bin
3. In $PATH
* Check if program is not a directory before executing
* Added dist target for make, will help with Homebrew
* Try to install go dependencies before building
* Make sure dep ensure is called before trying to build SDKs
* Removed dep ensure from dist initial step
When this argument is not provided, we'll default to the value of
pulumi.getProject(). This is what you want for application level code
anyway and it matches the CLI behavior where if you don't qualify a
key with a package we use the name of the current project.
Fixes#1581
1) Use a state block for *Outputs, just to protect against dereferencing
and aliasing. These are mutable due to concurrency.
2) Dig into *Output type aliases, like *URNOutput, et. al, during
RPC marshaling.
This change adds a config package. This is syntactic sugar atop the
underlying config functionality in the pulumi.Context, but mirrors what
we do in our other Node.js and Python SDKs more closely.
This includes three families of functions:
- config.Get*: returns the value or its default if missing.
- config.Require*: returns the value or panics if missing.
- config.Try*: returns the value or an error if missing.
In all cases, there are simple Get/Require/Try functions, that just
deal in terms of strings, in addition to type specific functions,
GetT/RequireT/TryT, for the most common Ts that you might need.
This commit implements unknown outputs in the same style as our Node.js
language provider. That is to say, during previews, it's possible that
certain outputs will not have known values. In those cases, we want to
flow sufficient information through the resolution of values, so that we
may skip applies. We also return this fact from the direct accessors.
This change primarily does two things:
* Adds output marshaling.
* Adds tests for roundtripping inputs to outputs.
It also
* Fixes a bug in the verification of asset archives.
* Change input types to simply `interface{}` and `map[string]interface{}`.
There is no need for wrapper types. This is more idiomatic.
* Reject output properties upon marshaling failure.
* Don't support time.Time as a marshaling concept. This was getting too
cute. It's not clear what its marshaling format ought to be.
This improves the strong typing of output properties, by leveraging the
cast library to support numeric conversions to and from many types,
without hitting interface{}-cast panics. Also adds strongly typed
applies and adds a number of additional tests for these functions.
This change adds some convenience functions and types, to make strongly
typed outputs more pleasant to interact with. It also includes tests
for output generally, in addition to these new functions and types.
This adds rudimentary support for Pulumi programs written in Go. It
is not complete yet but the basic resource registration works.
Note that, stylistically speaking, Go is a bit different from our other
languages. This made it a bit easier to build this initial prototype,
since what we want is actually a rather thin veneer atop our existing
RPC interfaces. The lack of generics, however, adds some friction and
is something I'm continuing to hammer on; this will most likely lead to
little specialized types (e.g. StringOutput) once the dust settles.
There are two primary components:
1) A new language host, `pulumi-language-go`, which is responsible for
communicating with the engine through the usual gRPC interfaces.
Because Go programs are pre-compiled, it very simply loads a binary
with the same name as the project.
2) A client SDK library that Pulumi programs bind against. This exports
the core resource types -- including assets -- properties -- including
output properties -- and configuration.
Most remaining TODOs are marked as such in the code, and this will not
be merged until they have been addressed, and some better tests written.
This is the initial step towards redefining Lumi as a library that runs
atop vanilla Node.js/V8, rather than as its own runtime.
This change is woefully incomplete but this includes some of the more
stable pieces of my current work-in-progress.
The new structure is that within the sdk/ directory we will have a client
library per language. This client library contains the object model for
Lumi (resources, properties, assets, config, etc), in addition to the
"language runtime host" components required to interoperate with the
Lumi resource monitor. This resource monitor is effectively what we call
"Lumi" today, in that it's the thing orchestrating plans and deployments.
Inside the sdk/ directory, you will find nodejs/, the Node.js client
library, alongside proto/, the definitions for RPC interop between the
different pieces of the system. This includes existing RPC definitions
for resource providers, etc., in addition to the new ones for hosting
different language runtimes from within Lumi.
These new interfaces are surprisingly simple. There is effectively a
bidirectional RPC channel between the Lumi resource monitor, represented
by the lumirpc.ResourceMonitor interface, and each language runtime,
represented by the lumirpc.LanguageRuntime interface.
The overall orchestration goes as follows:
1) Lumi decides it needs to run a program written in language X, so
it dynamically loads the language runtime plugin for language X.
2) Lumi passes that runtime a loopback address to its ResourceMonitor
service, while language X will publish a connection back to its
LanguageRuntime service, which Lumi will talk to.
3) Lumi then invokes LanguageRuntime.Run, passing information like
the desired working directory, program name, arguments, and optional
configuration variables to make available to the program.
4) The language X runtime receives this, unpacks it and sets up the
necessary context, and then invokes the program. The program then
calls into Lumi object model abstractions that internally communicate
back to Lumi using the ResourceMonitor interface.
5) The key here is ResourceMonitor.NewResource, which Lumi uses to
serialize state about newly allocated resources. Lumi receives these
and registers them as part of the plan, doing the usual diffing, etc.,
to decide how to proceed. This interface is perhaps one of the
most subtle parts of the new design, as it necessitates the use of
promises internally to allow parallel evaluation of the resource plan,
letting dataflow determine the available concurrency.
6) The program exits, and Lumi continues on its merry way. If the program
fails, the RunResponse will include information about the failure.
Due to (5), all properties on resources are now instances of a new
Property<T> type. A Property<T> is just a thin wrapper over a T, but it
encodes the special properties of Lumi resource properties. Namely, it
is possible to create one out of a T, other Property<T>, Promise<T>, or
to freshly allocate one. In all cases, the Property<T> does not "settle"
until its final state is known. This cannot occur before the deployment
actually completes, and so in general it's not safe to depend on concrete
resolutions of values (unlike ordinary Promise<T>s which are usually
expected to resolve). As a result, all derived computations are meant to
use the `then` function (as in `someValue.then(v => v+x)`).
Although this change includes tests that may be run in isolation to test
the various RPC interactions, we are nowhere near finished. The remaining
work primarily boils down to three things:
1) Wiring all of this up to the Lumi code.
2) Fixing the handful of known loose ends required to make this work,
primarily around the serialization of properties (waiting on
unresolved ones, serializing assets properly, etc).
3) Implementing lambda closure serialization as a native extension.
This ongoing work is part of pulumi/pulumi-fabric#311.
This changes the RPC interfaces between Lumi and provider ever so
slightly, so that we can track default properties explicitly. This
is required to perform accurate diffing between inputs provided by
the developer, inputs provided by the system, and outputs. This is
particularly important for default values that may be indeterminite,
such as those we use in the bridge to auto-generate unique IDs.
Otherwise, we fail to reapply defaults correctly, and trick the
provider into thinking that properties changed when they did not.
This is a small step towards pulumi/lumi#306, in which we will defer
even more responsibility for diffing semantics to the providers.
This change serializes unknown properties anywhere in the entire
property structure, including deeply embedded inside object maps, etc.
This is now done in such a way that we can recover both the computed
nature of the serialized property, along with its expected eventual
type, on the other side of the RPC boundary.
This will let us have perfect fidelity with the new bridge's view on
computed properties, rather than special casing them on "one side".
As part of the bridge bringup, I've discoverd that the property state
returned from Creates does *not* always equal the state that is then
read from calls to Get. (I suspect this is a bug and that they should
be equivalent, but I doubt it's fruitfal to try and track down all
occurrences of this; I bet it's widespread). To cope with this, we will
return state from Create and Update, instead of issuing a call to Get.
This was a design we considered to start with and frankly didn't have
a super strong reason to do it the current way, other than that it seemed
elegant to place all of the Get logic in one place.
Note that providers may choose to return nil, in which case we will read
state from the provider in the usual Get style.
This adds a ReadLocations RPC function to the engine interface, alongside
the singular ReadLocation. The plural function takes a single token that
represents a module or class and we will then return all of the module
or class (static) properties that are currently known.
This change adds an engine gRPC interface, and associated implementation,
so that plugins may do interesting things that require "phoning home".
Previously, the engine would fire up plugins and talk to them directly,
but there was no way for a plugin to ask the engine to do anything.
The motivation here is so that plugins can read evaluator state, such
as config information, but this change also allows richer logging
functionality than previously possible. We will still auto-log any
stdout/stderr writes; however, explicit errors, warnings, informational,
and even debug messages may be written over the Log API.
This change restructures a lot more pertaining to deployments, snapshots,
environments, and the like.
The most notable change is that the notion of a deploy.Source is introduced,
which splits the responsibility between the deploy.Plan -- which simply
understands how to compute and carry out deployment plans -- and the idea
of something that can produce new objects on-demand during deployment.
The primary such implementation is evalSource, which encapsulates an
interpreter and takes a package, args, and config map, and proceeds to run
the interpreter in a distinct goroutine. It synchronizes as needed to
poke and prod the interpreter along its path to create new resource objects.
There are two other sources, however. First, a nullSource, which simply
refuses to create new objects. This can be handy when writing isolated
tests but is also used to simulate the "empty" environment as necessary to
do a complete teardown of the target environment. Second, a fixedSource,
which takes a pre-computed array of objects, and hands those, in order, to
the planning engine; this is mostly useful as a testing technique.
Boatloads of code is now changed and updated in the various CLI commands.
This further chugs along towards pulumi/lumi#90. The end is in sight.
This change includes approximately 1/3rd of the change necessary
to support output properties, as per pulumi/lumi#90.
In short, the runtime now has a new hidden type, Latent<T>, which
represents a "speculative" value, whose eventual type will be T,
that we can use during evaluation in various ways. Namely,
operations against Latent<T>s generally produce new Latent<U>s.
During planning, any Latent<T>s that end up in resource properties
are transformed into "unknown" property values. An unknown property
value is legal only during planning-time activities, such as Check,
Name, and InspectChange. As a result, those RPC interfaces have
been updated to include lookaside maps indicating which properties
have unknown values. My intent is to add some helper functions to
make dealing with this circumstance more correct-by-construction.
For now, using an unresolved Latent<T> in a conditional will lead
to an error. See pulumi/lumi#67. Speculating beyond these -- by
supporting iterative planning and application -- is something we
want to support eventually, but it makes sense to do that as an
additive change beyond this initial support. That is a missing 1/3.
Finally, the other missing 1/3rd which will happen much sooner
than the rest is restructuing plan application so that it will
correctly observe resolution of Latent<T> values. Right now, the
evaluation happens in one single pass, prior to the application, and
so Latent<T>s never actually get witnessed in a resolved state.
Unfortunately, this wasn't a great name. The old one stunk, but the
new one was misleading at best. The thing is, this isn't about performing
an update -- it's about NOT doing an update, depending on its return value.
Further, it's not just previewing the changes, it is actively making a
decision on what to do in response to them. InspectUpdate seems to convey
this and I've unified the InspectUpdate and Update routines to take a
ChangeRequest, instead of UpdateRequest, to help imply the desired behavior.
In order to support output properties (pulumi/coconut#90), we need to
modify the Create gRPC interface for resource providers slightly. In
addition to returning the ID, we need to also return any properties
computed by the AWS provider itself. For instance, this includes ARNs
and IDs of various kinds. This change simply propagates the resources
but we don't actually support reading the outputs just yet.
This change renames two provider methods:
* Read becomes Get.
* UpdateImpact becomes PreviewUpdate.
These just read a whole lot nicer than the old names.
This change adds a rudimentary cocogo SDK package. The only thing in
here is a cocogo.Resource type which will serve as the base marker for
all resource classes in IDL packages (see pulumi/coconut#133).
This change adds the ability to specify analyzers in two ways:
1) By listing them in the project file, for example:
analyzers:
- acmecorp/security
- acmecorp/gitflow
2) By explicitly listing them on the CLI, as a "one off":
$ coco deploy <env> \
--analyzer=acmecorp/security \
--analyzer=acmecorp/gitflow
This closes out pulumi/coconut#119.
This change introduces the basic requirements for analyzers, as per
pulumi/coconut#119. In particular, an analyzer can implement either,
or both, of the RPC methods, Analyze and AnalyzeResource. The former
is meant to check an overall deployment (e.g., to ensure it has been
signed off on) and the latter is to check individual resources (e.g.,
to ensure properties of them are correct, such as checking style,
security, etc. rules). These run simultaneous to overall checking.
Analyzers are loaded as plugins just like providers are. The difference
is mainly in their naming ("analyzer-" prefix, rather than "resource-"),
and the RPC methods that they support.
This isn't 100% functional since we need a way to specify at the CLI
that a particular analyzer should be run, in addition to a way of
recording which analyzers certain projects should use in their manifests.
This change adds a new Check RPC method on the provider interface,
permitting resource providers to perform arbitrary verification on
the values of properties. This is useful for validating things
that might be difficult to express in the type system, and it runs
before *any* modifications are run (so failures can be caight early
before it's too late). My favorite motivating example is verifying
that an AWS EC2 instance's AMI is available within the target region.
This resolvespulumi/coconut#107, although we aren't using this
in any resource providers just yet. I'll add a work item now for that...
This change tracks which updates triggered a replacement. This enables
better output and diagnostics. For example, we now colorize those
properties differently in the output. This makes it easier to diagnose
why an unexpected resource might be getting deleted and recreated.
This change, part of pulumi/coconut#105, rearranges support for
resource replacement. The old model didn't properly account for
the cascading updates and possible replacement of dependencies.
Namely, we need to model a replacement as a creation followed by
a deletion, inserted into the overall DAG correctly so that any
resources that must be updated are updated after the creation but
prior to the deletion. This is done by inserting *three* nodes
into the graph per replacement: a physical creation step, a
physical deletion step, and a logical replacement step. The logical
step simply makes it nicer in the output (the plan output shows
a single "replacement" rather than the fine-grained outputs, unless
they are requested with --show-replace-steps). It also makes it
easier to fold all of the edges into a single linchpin node.
As part of this, the update step no longer gets to choose whether
to recreate the resource. Instead, the engine takes care of
orchestrating the replacement through actual create and delete calls.
This change introduces a new RPC function to the provider interface;
in pseudo-code:
UpdateImpact(id ID, t Type, olds PropertyMap, news PropertyMap)
(bool, PropertyMap, error)
Essentially, during the planning phase, we will consult each provider
about the nature of a proposed update. This update includes a set of
old properties and the new ones and, if the resource provider will need
to replace the property as a result of the update, it will return true;
in general, the PropertyMap will eventually contain a list of all
properties that will be modified as a result of the operation (see below).
The planning phase reacts to this by propagating the change to dependent
resources, so that they know that the ID will change (and so that they
can recalculate their own state accordingly, possibly leading to a ripple
effect). This ensures the overall DAG / schedule is ordered correctly.
This change is most of pulumi/coconut#105. The only missing piece
is to generalize replacing the "ID" property with replacing arbitrary
properties; there are hooks in here for this, but until pulumi/coconut#90
is addressed, it doesn't make sense to make much progress on this.
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.
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.
This changes two aspects of the ResourceProvider.Update RPC API:
1. Update needs to return an ID, in case the resource had to be
recreated in response to the request.
2. Include both the old and the new values for properties that are
being updated.
After a bit more thinking, we will create new SDK packages for each
of the languages we wish to support writing resource providers in.
This is where the RPC goo will live, so I have created a new sdk/
directory, moved the Protobuf/gRPC definitions underneath sdk/proto/,
and put the generated code into sdk/go/ and sdk/js/.
