* Enable unit testing for Pulumi programs
This change enables rudimentary unit testing of your Pulumi programs, by introducing a `PULUMI_TEST_MODE` envvar that, when set, allows programs to run without a CLI. That includes
* Just being able to import your Pulumi modules, and test ordinary functions -- which otherwise would have often accidentally triggered the "Not Running in a CLI" error message
* Being able to verify a subset of resource properties and shapes, with the caveat that outputs are not included, due to the fact that this is a perpetual "dry run" without any engine operations occurring
In principle, this also means you can attach a debugger and step through your code.
* Finish the unit testing features
This change
1) Incorporates CR feedback, namely requiring that test mode be
explicitly enabled for any of this to work.
2) Implements Python support for the same capabilities.
3) Includes tests for both JavaScript and Python SDKs.
* Add a note on unit testing to the CHANGELOG
* Use Node 8 friendly assert API
* Embellish the CHANGELOG entry a bit
* Make v8 primitives async as there is no way to avoid async in node11.
* Simplify API.
* Move processing of well-known globals into the v8 layer.
We'll need this so that we can map from RemoteObjectIds back to these well known values.
* Remove unnecesssary check.
* Cleanup comments and extract helper.
* Introduce helper bridge method for the simple case of making an entry for a string.
* Make functions async. They'll need to be async once we move to the Inspector api.
* Make functions async. They'll need to be async once we move to the Inspector api.
* Make functions async. They'll need to be async once we move to the Inspector api.
* Move property access behind helpers so they can move to the Inspector API in the future.
* Only call function when we know we have a Function. Remove redundant null check.
* Properly serialize certain special JavaScript number values that JSON serialization cannot handle.
* Only marshall across the 'source' and 'flags' for a RegExp when serializing.
* Add a simple test to validate a regex without flags.
* Extract functionality into helper method.
* Add test with complex output scenarios.
* Output serialization needs to avoid recursively trying to serialize a serialized value.
* Introduce indirection for introspecting properties of an object.
* Use our own introspection API for examining an Array.
* Hide direct property access through API indirection.
* Produce values like the v8 Inspector does.
* Compute the module map asynchronously. Will need that when mapping mirrors instead.
* Cleanup a little code in closure creation.
* Get serialization working on Node11 (except function locations).
* Run tests in the same order on <v11 and >=v11
* Make tests run on multiple versions of node.
* Rename file to make PR simpler to review.
* Cleanup.
* Be more careful with global state.
* Remove commented line.
* Only allow getting a session when on Node11 or above.
* Promisify methods.
Rather than placing these combinators directly on the Output class,
which feels odd because they are special purpose to iterables, and deal
with not only Outputs but also Inputs, we will place them on a
separate and dedicated iterable module for these utility helpers.
The pulumi runtime used to lazily load and parse both config and
settings data set by the language host. The initial reason for this
design was that we wanted the runtime to be usable in a normal node
environment, but we have moved away from supporting that.
In addition, while we claimed we loaded these value "lazily", we
actually forced their loading quite eagerly when we started
up. However, when capturing config (or settings, as we now do), we
would capture all the logic about loading these values from the
environment.
Even worse, in the case where you had two copies of @pulumi/pulumi
loaded, it would be possible to capture a config object which was not
initialized and then at runtime the initialization logic would try to
read PULUMI_CONFIG from the process environment and fail.
So we adopt a new model where configuration and settings are parsed as
we load their containing modules. In addition, to support SxS
scinerios, we continue to use `process.env` as a way to control both
configuration and settings. This means that `run.ts` must now ensure
that these values are present in the environment before either the
config or runtime modules have been loaded.
* Implement closure scope chain analysis in pure TypeScript
This change makes use of four V8 intrinsics to avoid having to use a
native module to inspect the scope chains of live Function objects. This
unfortunately leads to the limitation of not allowing captures of 'this'
in arrow functions, but that is something we are willing to live with
for now.
* Remove native module build and restore from the Makefile
* CR feedback: Be a little more efficient when scanning the scope chain
* Nuke everything related to custom Node versions and the native Node module
* CR feedback: rename native.ts -> v8.ts, document some interfaces in v8.ts
The four concerns are:
parsing a v8 function string so we can figure out captured variables.
walkgin the function/object graph producing the graph we will serialize.
rewriting constructors and methods so that 'super' works.
serializing graph to text.
Make many fixes to closure serialization
Primary things that i've done as part of this change:
Added support for cyclic objects.
Properly serialize objects that are shared across different function. previously you would get multiple copies, now you properly reference the same copy.
Remove the usages of 'hashes' for functions. Because we track identity of objects, we no longer need them.
Serialize properties of functions (if they have any).
Handle Objects/Functions with different __proto__s than normal. i.e. classes/constructors. but also anything the user may have done themselves to the object.
Handle generator functions.
Handle functions with 'computed' names.
Handle functions with 'symbol' names.
Handle serializing Promises as Promises.
Removed the dual Closure/AsyncClosure tree. One existed solely so we could have a tree without promises (for use in testing maybe?). Because this all exists in a part of our codebase that is entirely async, it's fine to have promises in the tree, and to await them when serializing the Closure to a string.
Handle serializing class-constructors and methods. Including properly handling 'super' calls.
* experimental: separate language host from node
* Remove langhost details from the NodeJS SDK runtime
* Cleanup
* Work around an issue where Node sometimes loads the same module twice in two different contexts, resulting in two distinct module objects. Some additional cleanup.
* Add some tests
* Fix up the Windows script
* Fix up the install scripts and Windows build
* Code review feedback
* Code review feedback: error capitalization
This change adds a new manifest section to the checkpoint files.
The existing time moves into it, and we add to it the version of
the Pulumi CLI that created it, along with the names, types, and
versions of all plugins used to generate the file. There is a
magic cookie that we also use during verification.
This is to help keep us sane when debugging problems "in the wild,"
and I'm sure we will add more to it over time (checksum, etc).
For example, after an up, you can now see this in `pulumi stack`:
```
Current stack is demo:
Last updated at 2017-12-01 13:48:49.815740523 -0800 PST
Pulumi version v0.8.3-79-g1ab99ad
Plugin pulumi-provider-aws [resource] version v0.8.3-22-g4363e77
Plugin pulumi-langhost-nodejs [language] version v0.8.3-79-g77bb6b6
Checkpoint file is /Users/joeduffy/dev/code/src/github.com/pulumi/pulumi-aws/.pulumi/stacks/webserver/demo.json
```
This addresses pulumi/pulumi#628.
This change switches from child lists to parent pointers, in the
way resource ancestries are represented. This cleans up a fair bit
of the old parenting logic, including all notion of ambient parent
scopes (and will notably address pulumi/pulumi#435).
This lets us show a more parent/child display in the output when
doing planning and updating. For instance, here is an update of
a lambda's text, which is logically part of a cloud timer:
* cloud:timer:Timer: (same)
[urn=urn:pulumi:malta::lm-cloud:☁️timer:Timer::lm-cts-malta-job-CleanSnapshots]
* cloud:function:Function: (same)
[urn=urn:pulumi:malta::lm-cloud:☁️function:Function::lm-cts-malta-job-CleanSnapshots]
* aws:serverless:Function: (same)
[urn=urn:pulumi:malta::lm-cloud::aws:serverless:Function::lm-cts-malta-job-CleanSnapshots]
~ aws:lambda/function:Function: (modify)
[id=lm-cts-malta-job-CleanSnapshots-fee4f3bf41280741]
[urn=urn:pulumi:malta::lm-cloud::aws:lambda/function:Function::lm-cts-malta-job-CleanSnapshots]
- code : archive(assets:2092f44) {
// etc etc etc
Note that we still get walls of text, but this will be actually
quite nice when combined with pulumi/pulumi#454.
I've also suppressed printing properties that didn't change during
updates when --detailed was not passed, and also suppressed empty
strings and zero-length arrays (since TF uses these as defaults in
many places and it just makes creation and deletion quite verbose).
Note that this is a far cry from everything we can possibly do
here as part of pulumi/pulumi#340 (and even pulumi/pulumi#417).
But it's a good start towards taming some of our output spew.
The prior code was a little too aggressive in rejected undefined
properties, because it assumed any occurrence indicated a resource
that was unavailable due to planning. This is a by-produt of our
relatively recent decision to flow undefineds freely during planning.
The problem is, it's entirely legitimate to have undefined values
deep down in JavaScript structures, entirely unrelated to resources
whose property values are unknown due to planning.
This change flows undefined more freely. There really are no
negative consequences of doing so, and avoids hitting some overly
aggressive assertion failures in some important scenarios. Ideally
we would have a way to know statically whether something is a resource
property, and tighten up the assertions just to catch possible bugs
in the system, but because this is JavaScript, and all the assertions
are happening at runtime, we simply lack the necessary metadata to do so.
This change adds functions, `pulumi.getProject()` and `pulumi.getStack()`,
to fetch the names of the project and stack, respectively. These can be
handy in generating names, specializing areas of the code, etc.
This fixespulumi/pulumi#429.
A dynamic resource is a resource whose provider is implemented alongside
the resource itself. This provider may close over and use orther
resources in the implementation of its CRUD operations. The provider
itself must be stateless, as each CRUD operation for a particular
dynamic resource type may use an independent instance of the provider.
Changes to the definition of a resource's provider result in replacement
of the resource itself (rather than a simple update), as this allows the
old provider definition to delete the old resource and the new provider
definition to create an appropriate replacement.
This resource provider accepts a single configuration parameter, `testing:provider:module`, that is the path to a Javascript module that implements CRUD operations for a set of resource types. This allows e.g. a test case to provide its own implementation of these operations that may succeed or fail in interesting ways.
Fixes#338.
This exposes the existing runtime logging functionality in a way meant
for 3rd-parties to consume. This can be useful if we want to introduce
debug logging, warnings, or other things, that fit nicely with the
Pulumi CLI and overall developer workflow.
This wires up the Node.js SDK to the newly added Invoke function
on the resource monitor and provider gRPC interfaces, letting us
expose functions that are implemented by the providers to user code.
This change improves our output formatting by generally adding
fewer prefixes. As shown in pulumi/pulumi#359, we were being
excessively verbose in many places, including prefixing every
console.out with "langhost[nodejs].stdout: ", displaying full
stack traces for simple errors like missing configuration, etc.
Overall, this change includes the following:
* Don't prefix stdout and stderr output from the program, other
than the standard "info:" prefix. I experimented with various
schemes here, but they all felt gratuitous. Simply emitting
the output seems fine, especially as it's closer to what would
happen if you just ran the program under node.
* Do NOT make writes to stderr fail the plan/deploy. Previously
we assumed that any console.errors, for instance, meant that
the overall program should fail. This simply isn't how stderr
is treated generally and meant you couldn't use certain
logging techniques and libraries, among other things.
* Do make sure that stderr writes in the program end up going to
stderr in the Pulumi CLI output, however, so that redirection
works as it should. This required a new Infoerr log level.
* Make a small fix to the planning logic so we don't attempt to
print the summary if an error occurs.
* Finally, add a new error type, RunError, that when thrown and
uncaught does not result in a full stack trace being printed.
Anyone can use this, however, we currently use it for config
errors so that we can terminate with a pretty error message,
rather than the monstrosity shown in pulumi/pulumi#359.
As part of pulumi/pulumi-fabric#331, we've been exploring just using
undefined to indicate that a property value is absent during planning.
We also considered blocking the message loop to simplify the overall
programming model, so that all asynchrony is hidden.
It turns out ThereBeDragons 🐲 anytime you try to block the
message loop. So, we aren't quite sure about that bit.
But the part we are convicted about is that this Computed/Property
model is far too complex. Furthermore, it's very close to promises, and
yet frustratingly so far away. Indeed, the original thinking in
pulumi/pulumi-fabric#271 was simply to use promises, but we wanted to
encourage dataflow styles, rather than control flow. But we muddied up
our thinking by worrying about awaiting a promise that would never resolve.
It turns out we can achieve a middle ground: resolve planning promises to
undefined, so that they don't lead to hangs, but still use promises so
that asynchrony is explicit in the system. This also avoids blocking the
message loop. Who knows, this may actually be a fine final destination.
There's a fair bit of clean up in here, but the meat is:
* Allocate the language runtime gRPC client connection on the
goroutine that will use it; this eliminates race conditions.
* The biggie: there *appears* to be a bug in gRPC's implementation
on Linux, where it doesn't implement WaitForReady properly. The
behavior I'm observing is that RPC calls will not retry as they
are supposed to, but will instead spuriously fail during the RPC
startup. To work around this, I've added manual retry logic in
the shared plugin creation function so that we won't even try
to use the client connection until it is in a well-known state.
pulumi/pulumi-fabric#337 tracks getting to the bottom of this and,
ideally, removing the work around.
The other minor things are:
* Separate run.js into its own module, so it doesn't include
index.js and do a bunch of random stuff it shouldn't be doing.
* Allow run.js to be invoked without a --monitor. This makes
testing just the run part of invocation easier (including
config, which turned out to be super useful as I was debugging).
* Tidy up some messages.
We have an issue in the runtime right now where we serialize closures
asynchronously, meaning we make it possible to form cycles between
resource graphs (something that ought to be impossible in our model,
where resources are "immutable" after creation and cannot form cycles).
Let me tell you a tale of debugging this ...
Well, no, let's not do that. But thankfully I've left behind some
little utilities that might make debugging such a thing easier down
the road. Namely:
* By default, most of our core runtime promises leverage a leak handler
that will log an error message should the process exit with certain
critical unresolved promises. This error message will include some
handy context (like whether it was an input promise) as well as a
stack trace for its point of creation.
* Optionally, with a flag in runtime/debuggable.ts, you may wire up
a hang detector, for situations where we may want to detect this
situation sooner than process exit, using the regular message loop.
This uses a defined timeout, prints the same diagnostics as the
leak detector when a hang is detected, and is disabled by default.
This change makes a few simplifications to how properties are exposed in
the system, mostly in the name of usability, but also to feel a bit more
like "idiomatic JavaScript". Namely:
* Rename `then` to `mapValue`. This hopefully helps to suggest that this
is meant for a dataflow style of programming.
* Move Property<T> into the runtime module, and remove PropertyState<T>,
collapsing back down to a single type. This also eliminates some of the
messy internal runtime casting, accessing of internal members, etc.
* Export a Computed<T> interface from the root of the module. This is
the entirety of the public-facing surface area for properties, and
exposes that single `mapValue` member function. The internal runtime
logic understands how to handle Property<T>s specifically in addition
to Computed<T>s more generally (in case someone writes their own).
This changes a few aspects of resource properties:
* Move all runtime-related goo into the runtime module, in an
internal PromiseState class. This encapsulates the internal
state transitions and protects against misuse. It also allows
us to clean up the public API for the Property<T> type so that
it's entirely suitable for external usage.
* Track input and output property values distinctly. It turns
out we want to key off events differently. For example, to marshal
property values to a resource provider, we only care about the
inputs. For final property values that are used in, say, thens
or as inputs to other properties, we want the output property value.
* Be more precise about when an output is truly final, and known, or
unknown due to planning/dry-runs. Note that this does mean that
we'll encounter unknown values more frequently because, aside from
IDs and URNs, we can't say for sure that arbitrary properties will never
change post-creation. We have ideas on how to denote this; see
pulumi/pulumi-fabric#330 for more details.
This change adds the ability to perform runtime logging, including
debug logging, that wires up to the Pulumi Fabric engine in the usual
ways. Most stdout/stderr will automatically go to the right place,
but this lets us add some debug tracing in the implementation of the
runtime itself (and should come in handy in other places, like perhaps
the Pulumi Framework and even low-level end-user code).
This change implements free variable calculations and wires it up
to closure serialization. This is recursive, in the sense that
the serializer may need to call back to fetch free variables for
nested functions encountered during serialization.
The free variable calculation works by parsing the serialized
function text and walking the AST, applying the usual scoping rules
to determine what is free. In particular, it respects nested
function boundaries, and rules around var, let, and const scoping.
We are using Acorn to perform the parsing. I'd originally gone
down the path of using V8, so that we have one consistent parser
in the game, however unfortunately neither V8's parser nor its AST
is a stable API meant for 3rd parties. Unlike the exising internal
V8 dependencies, this one got very deep very quickly, and I became
nervous about maintaining all those dependencies. Furthermore,
by doing it this way, we can write the free variable logic in
JavaScript, which means one fewer C++ component to maintain.
This also includes a fairly significant amount of testing, all
of which passes! 🎉
This change contains an initial implementation of closure serialization
built atop V8, rather than our own custom runtime. This requires that
we use a Node.js dynamic C++ module, so that we can access the V8
APIs directly. No build magic is required beyond node-gyp.
For the most part, this was straight forward, except for one part: we
have to use internal V8 APIs. This is required for two reasons:
1) We need access to the function's lexical closure environment, so
that we may look up closure variables. Although there is a
tantalizingly-close v8::Object::CreationContext, its implementation
intentionally pokes through closure contexts in order to recover
the Function constructor context instead. That's not what we
want. We want the raw, unadulterated Function::context.
2) We need to control the lexical lookups of free variables so that
they can look past chained contexts, lexical contexts, withs, and
eval-style context extensions. Simply runing a v8::Script, or
simulating an eval, doesn't do the trick. Hence, we need to access
the unexported v8::internal::Context::Lookup function.
There is a third reason which is not yet implemented: free variable
calculation. I could use Esprima, or do my own scanner for free
variables, but I'd prefer to simply use the V8 parser so that we're
using the same JavaScript parser across all components. That too
is not part of the v8.h API, so we'll need to crack it open more.
To be clear, these are still exported public APIs, in proper headers
that are distributed with both Node and V8. They simply aren't part
of the "stable" v8.h surface area. As a result, I do expect that
maintaining this will be tricky, and I'd like to keep exploring how
to do this without needing the internal dependency. For instance,
although this works with node-gyp just fine, we will probably be
brittle across versions of Node/V8, when the internal APIs might be
changing. This will introduce unfortunate versioning headaches (all,
hopefully and thankfully, caught at compile-time).
The organization of packages underneath lib/ breaks the easy consumption
of submodules, a la
import {FileAsset} from "@pulumi/pulumi-fabric/asset";
We will go back to having everything hanging off the module root directory.
This change adds getX and requireX helper functions for configuration,
making it easy for packages to convert from Lumi's current weakly typed
config system, where everything is a string, into the internal JavaScript
representation, which is often a boolean, number, or complex array/object.
This makes a few tweaks to get the integration tests passing:
* Add `runtime: nodejs` to the minimal example's `Lumi.yaml` file.
* Remove usage of `@lumi/lumirt { printf }` and just use `console.log`.
* Remove calls to `lumijs` in the integration test framework and
the minimal example's package.json. Instead, we just run
`yarn run build`, which itself internally just invokes `tsc`.
* Add package validation logic and eliminate the pkg/compiler/metadata
library, in favor of the simpler code in pkg/engine.
* Simplify the Node.js langhost plugin CLI, and simply take an
argument rather than requiring required and optional --flags.
* Use a default path of "." if the program path isn't provided. This
is a legal scenario if you've passed a pwd and just want to load
the package's default module ("./index.js" or whatever main says).
* Add an executable script, lumi-langhost-nodejs, that fires up the
`bin/cmd/langhost/index.js` file to serve the Node.js language plugin.
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.