This caching is enabled by wrapping the `secrets.Manager` returned by
`DefaultSecretsProvider.OfType` in an outer `secrets.Manager` that
cooperates with `stack.{Serialize,Deserialize}PropertyValue`. Ciphertext
is cached on a per-secret-instance basis (i.e. not a per-plaintext-value
basis). Cached ciphertext is only reused if the plaintext for the secret
value has not changed. Entries are inserted into the cache upon both
encryption and decryption so that values that originated from ciphertext
and that have not changed can aoid re-encryption.
Contributes to #3178.
Empty `[]interface{}` values were being converted to array property
values with a `nil` element, and empty array property values were being
coverted to `nil` `[]interface{}` values. These changes fix the
converters to return empty but non-nil values in both cases.
This is part of the fix for
https://github.com/pulumi/pulumi-kubernetes/issues/693.
We adopt a new algoritm for annotating secrets, which works as
follows:
If the source and destinations are both property maps, annotate their
secrets deeply.
Otherwise, if there is an property in both the input and output arrays
with the same name and the value in the inputs has secrets /anywhere/
in it, mark the output itself a secret.
This means, for example, an array in the inputs with a secret value as
one of the elmenets will mean in the outputs the entire array value is
marked as a secret. This is done because arrays often are treated as
sets by providers and so we really shouldn't consider ordering. It
also means that if a value is added to the array as part of the
operation we still mark the new array as an output even though the
values may not be indentical to the inputs.
A new `Secret` property value is introduced, and plumbed across the
engine.
- When Unmarshalling properties /from/ RPC calls, we instruct the
marshaller to retain secrets, since we now understand them in the
rest of the engine.
- When Marshalling properties /to/ RPC calls, we use or tracked data
to understand if the other side of the connection can accept
secrets. If they can, we marshall them in a similar manner to assets
where we have a special object with a signiture specific for secrets
and an underlying value (which is the /plaintext/ value). In cases
where the other end of the connection does not understand secrets,
we just drop the metadata and marshal the underlying value as we
normally would.
- Any secrets that are passed across the engine events boundary are
presently passed as just `[secret]`.
- When persisting secret values as part of a deployment, we use a rich
object so that we can track the value is a secret, but right now the
underlying value is not actually encrypted.
Fixes#2650.
We have historically relied on merging inputs and outputs in several places in the engine. This used to be necessary, as discussed in #2650 (comment), but our core engine model has moved away from depending on this. However, we still have a couple places we do this merge, and those places have triggered several severe issues recently in subtle cases.
We believe that this merging should no longer be needed for a correct interpretation of the current engine model, and indeed that doing the merge actively violates the contract with providers. In this PR we remove the remaining places where this input + output merge was being done. In all three cases, we use just the Outputs, which for most providers will already include the same values as the inputs - but correctly as determined by the provider itself.
Resources gain two new fields: `PropertyDependencies` and
`PendingReplacement`. The former maps an input property's name to the
dependencies that may affect the value of that property. The latter is
used to track resources that have been deleted as part of a
delete-before-replace operation but have not yet been recreated.
In addition to the new fields, resource properties may now contain
encrypted first-class secret values. These values are of type `SecretV1`,
where the `Sig` field is set to `resource.SecretSig`.
Finally, the deployment type gains a new field, `SecretsProviders`,
which contains any configuration necessary to handle secrets that may be
present in resource properties.
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.
When merging inputs and defaults in order to construct the set of inputs
for a call to `Create`, we must recursively merge each property value:
the provided defaults may contain nested values that must be present in
the merged result.
This improves a few things about assets:
* Compute and store hashes as input properties, so that changes on
disk are recognized and trigger updates (pulumi/pulumi#153).
* Issue explicit and prompt diagnostics when an asset is missing or
of an unexpected kind, rather than failing late (pulumi/pulumi#156).
* Permit raw directories to be passed as archives, in addition to
archive formats like tar, zip, etc. (pulumi/pulumi#240).
* Permit not only assets as elements of an archive's member list, but
also other archives themselves (pulumi/pulumi#280).
This includes a few changes:
* The repo name -- and hence the Go modules -- changes from pulumi-fabric to pulumi.
* The Node.js SDK package changes from @pulumi/pulumi-fabric to just pulumi.
* The CLI is renamed from lumi to pulumi.
This change finishes the conversion of LUMIDL over to the new
runtime model, with the appropriate code generation changes.
It turns out the old model actually had a flaw in it anyway that we
simply didn't hit because we hadn't been stressing output properties
nearly as much as the new model does. This resulted in needing to
plumb the rejection (or allowance) of computed properties more
deeply into the resource property marshaling/unmarshaling logic.
As of these changes, I can run the GitHub provider again locally.
This change fixespulumi/pulumi-fabric#332.
We are now freely flowing computed and output properties across the
RPC boundary with providers. As such, we need to tolerate them in
a few more places. Namely, mapping to and from regular non-resource
property values, and also when copying RPC resource state back onto
live runtime objects.
We are renaming Lumi to Pulumi Fabric. This change simply renames the
pulumi/lumi repo to pulumi/pulumi-fabric, without the CLI tools and other
changes that will follow soon afterwards.
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.
For Update and Delete operations, we provided just the input state
for a resource. This is insufficient, because the provider may need
to depend on output state from the Create or prior Update operations.
This change merges the output atop the input during the step application.
This change brings the same typed serialization we use for RPC
to the serialization of deployments. This ensures that we get
repeatable diffs from one deployment to the next.
This change recognizes assets and archives as 1st class resource
property values. This is necessary to support them in the new bridge
work, and lays the foundation for fixing pulumi/lumi#153.
I also took the opportunity to clean up some old cruft in the
resource properties area.
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 adds a handy MapReplace function on pkg/resource's PropertyMap and
PropertyValue types. This is just like the existing Mappable function,
except that it permits easy replacement of elements as the map transformation
occurs. We need this to perform float64=>int transformations.
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 guts the deployment planning and execution process, a
necessary component of pulumi/lumi#90.
The major effect of this change is that resources are actually
connected to the live objects, instead of being snapshots taken at
inopportune moments in time.
This change, part of pulumi/lumi#90, overhauls quite a bit of the
core resource, planning, environments, and related areas.
The biggest amount of movement comes from the splitting of pkg/resource
into multiple sub-packages. This results in:
- pkg/resource: just the core resource data structures.
- pkg/resource/deployment: all planning and deployment logic.
- pkg/resource/environment: all environment, configuration, and
serialized checkpoint structures and logic.
- pkg/resource/plugin: all dynamically loaded analyzer and
provider logic, including the actual loading and RPC mechanisms.
This also splits the resource abstraction up. We now have:
- resource.Resource: a shared interface.
- resource.Object: a resource that is connected to a live object
that will periodically observe mutations due to ongoing
evaluation of computations. Snapshots of its state may be
taken; however, this is purely a "pre-planning" abstraction.
- resource.State: a snapshot of a resource's state that is frozen.
In other words, it is no longer connected to a live object.
This is what will store provider outputs (ID and properties),
and is what may be serialized into a deployment record.
The branch is in a half-baked state as of this change; more changes
are to come...
This change begins to track objects that are implicated in the
creation of computed values. This ultimately translates into the
resource URNs which are used during dependency analysis and
serialization. This is part of pulumi/lumi#90.
This change implements `mapper.Encode` "for real" (that is, in a way
that isn't a complete embarrassment). It uses the obvious reflection
trickery to encode a tagged struct and its values as a JSON-like
in-memory map and collection of keyed values.
During this, I took the opportunity to also clean up a few other things
that had been bugging me. Namely, the presence of `mapper.Object` was
always error prone, since it isn't a true "typedef" in the sence that
it carries extra RTTI. Instead of doing that, let's just use the real
`map[string]interface{}` "JSON-map-like" object type. Even better, we
no longer require resource providers to deal with the mapper
infrastructure. Instead, the `Check` function can simply return an
array of errors. It's still best practice to return field-specific errors
to facilitate better diagnostics, but it's no longer required; and I've
added `resource.NewFieldError` to eliminate the need to import mapper.
As of this change, we can also consistently emit RPC structs with `lumi`
tags, rather than `lumi` tags on the way in and `json` on the way out.
This completes pulumi/lumi#183.
This changes the resource model to persist input and output properties
distinctly, so that when we diff changes, we only do so on the programmer-
specified input properties. This eliminates problems when the outputs
differ slightly; e.g., when the provider normalizes inputs, adds its own
values, or fails to produce new values that match the inputs.
This change simultaneously makes progress on pulumi/lumi#90, by beginning
tracking the resource objects implicated in a computed property's value.
I believe this fixes both #189 and #198.
This change fixes up a few things so that updates correctly deal
with output properties. This involves a few things:
1) All outputs stored on the pre snapshot need to get propagated
to the post snapshot during planning at various points. This
ensures that the diffing logic doesn't need to be special cased
everywhere, including both the Lumi and the provider sides.
2) Names are changed to "input" properties (using a new `lumi` tag
option, `in`). These are properties that providers are expected
to know nothing about, which we must treat with care during diffs.
3) We read back properties, via Get, after doing an Update just like
we do after performing a Create. This ensures that if an update
has a cascading impact on other properties, it will be detected.
4) Inspecting a change, prior to updating, must be done using the
computed property set instead of the real one. This is to avoid
mutating the resource objects ahead of actually applying a plan,
which would be wrong and misleading.
This change remembers which properties were computed as outputs,
or even just read back as default values, during a deployment. This
information is required in the before/after comparison in order to
perform an intelligent diff that doesn't flag, for example, the absence
of "default" values in the after image as deletions (among other things).
As I was in here, I also cleaned up the way the provider interface
works, dealing with concrete resource types, making it feel a little
richer and less like we're doing in-memory RPC.
This change makes progress on a few things with respect to properly
receiving properties on the engine side, coming from the provider side,
of the RPC boundary. The issues here are twofold:
1. Properties need to get unmapped using a JSON-tag-sensitive
marshaler, so that they are cased properly, etc. For that, we
have a new mapper.Unmap function (which is ultra lame -- see
pulumi/lumi#138).
2. We have the reverse problem with respect to resource IDs: on
the send side, we must translate from URNs (which the engine
knows about) and provider IDs (which the provider knows about);
similarly, then, on the receive side, we must translate from
provider IDs back into URNs.
As a result of these getting fixed, we can now properly marshal the
resulting properties back into the resource object during the plan
execution, alongside propagating and memoizing its ID.
This change introduces the notion of a computed versus an output
property on resources. Technically, output is a subset of computed,
however it is a special kind that we want to treat differently during
the evaluation of a deployment plan. Specifically:
* An output property is any property that is populated by the resource
provider, not code running in the Lumi type system. Because these
values aren't available during planning -- since we have not yet
performed the deployment operations -- they will be latent values in
our runtime and generally missing at the time of a plan. This is no
problem and we just want to avoid marshaling them in inopportune places.
* A computed property, on the other hand, is a different beast altogehter.
Although true one of these is missing a value -- by virtue of the fact
that they too are latent values, bottoming out in some manner on an
output property -- they will appear in serializable input positions.
Not only must we treat them differently during the RPC handshake and
in the resource providers, but we also want to guarantee they are gone
by the time we perform any CRUD operations on a resource. They are
purely a planning-time-only construct.
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.
Resolves#137.
This is an initial pass for supporting JavaScript lambda syntax for defining an AWS Lambda Function.
A higher level API for defining AWS Lambda Function objects `aws.lambda.FunctionX` is added which accepts a Lumi lambda as an argument, and uses that lambda to generate the AWS Lambda Function code package.
LumiJS lambdas are serialized as the JavaScript text of the lambda body, along with a serialized version of the environment that is deserialized at runtime and used as the context for the body of the lambda.
Remaining work to further improve support for lambdas is being tracked in #173, #174, #175, and #177.
