This change implements recursive closure captures. This permits
cases like the following
{
function f() { g(); }
function g() { f(); }
}
and the slightly more useful
class C {
this.x = 42;
this.f = () => x;
}
To do this requires caching the environment objects and permitting
cycles in the resulting environment graph. The closure emitter code
already knows how to handle this.
In addition, we must mark captures of `this` as free variables.
This resolvespulumi/pulumi-fabric#333.
This ensures RPC channels stay alive until logs finish. It also
makes provisions for logs that come in *after* shutdown has begun,
but before it has finished, by observing that the keepalive promise
has changed between the time of initiating the callback and running it.
* Initialize the diganostics logger with opts.Debug when doing
a Deploy, like we do Plan.
* Don't spew leaked promises if there were Log.errors.
* Serialize logging RPC calls so that they can't appear out of order.
* Print stack traces in more places and, in particular, remember
the original context for any errors that may occur asynchronously,
like resource registration and calls to mapValue.
* Include origin stack traces generally in more error messages.
* Add some more mapValue test cases.
* Only undefined-propagate mapValue values during dry-runs.
This change serializes all resource operations. Please see
pulumi/pulumi#335 for more details. In a nutshell, there are
resources that have implicit hidden dependencies and now that
the runtime is fully asynchronous, we are tripping over problems
left and right (even worse, they are non-deterministic). All
of the problems have been in the AWS API Gateway resources;
until we come up with a holistic solution here, serializing all
calls should make things more stable in the interim.
This change upgrades gRPC to 1.6.0 to pick up a few bug fixes.
We also use the full address for gRPC endpoints, including the
interface name, as otherwise we pick the wrong interface on Linux.
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.
The change to tear down RPC connections after the program exits --
to fix problems on Linux presumably due to the way libuv is implemented --
unfortunately introduces nondeterminism and overzealous termination that
can happen at inopportune times. Instead, we need to wait for the current
RPC queue to drain. To fix this, we'll maintain a list of currently active
RPC calls and, only once they have completed, will we close the clients.
This change closes the gRPC client connections, as they keep the
Node.js message loop alive on Linux (but, strangely, not Mac;
regardless, a good thing to do anyway...)
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 fixes a few problems with dependent resolutions and hardens
even more promises-related error paths, so we swallow precisely zero
errors (or at least we hope so). This also digs through multi-level
chains of promises and computed properties as needed for nested mapValues.
This change adds support for awaiting any Computed<T> and Promise<T>s
that were captured inside of a function's closure. This preserves our
ability to capture, for example, resource state that ends up getting
serialized as the final resource state, rather than a snapshot of the
(mostly unresolved) resource state at the time of serialization.
This change moves the environment entry serialization logic into
JavaScript, where it's a bit easier to author and maintain. We
also switch to using Object.keys, so that we only walk the enumerable
properties of objects (to avoid internal member functions and to
generally leverage our current style of writing code). This is
just a temporary stopgap until we figure out more rigorous semantics
for what it means to serialize entire objects ...
