Reverts #33457, #33456 and #33442.
There are too many issues with wrappers, lazy init, stateful modules,
duplicate instantiation of async_hooks and duplication of code.
Instead, we'll just do a wrapper polyfill that uses Node Streams
internally.
I kept the client indirection files that I added for consistency with
the server though.
Follow up to #33442. This is the bundled version.
To keep type check passes from exploding and the maintainance of the
annoying `paths: []` list small, this doesn't add this to flow type
checks. We might miss some config but every combination should already
be covered by other one passes.
I also don't add any jest tests because to test these double export
entry points we need conditional importing to cover builds and
non-builds which turns out to be difficult for the Flight builds so
these aren't covered by any basic build tests.
This approach is what I'm going for, for the other bundlers too.
This lets us track what data each Server Component depended on. This
will be used by Performance Track and React DevTools.
We use Node.js `async_hooks`. This has a number of downside. It is
Node.js specific so this feature is not available in other runtimes
until something equivalent becomes available. It's [discouraged by
Node.js docs](https://nodejs.org/api/async_hooks.html#async-hooks). It's
also slow which makes this approach only really viable in development
mode. At least with stack traces. However, it's really the only solution
that gives us the data that we need.
The [Diagnostic
Channel](https://nodejs.org/api/diagnostics_channel.html) API is not
sufficient. Not only is many Node.js built-in APIs missing but all
libraries like databases are also missing. Were as `async_hooks` covers
pretty much anything async in the Node.js ecosystem.
However, even if coverage was wider it's not actually showing the
information we want. It's not enough to show the low level I/O that is
happening because that doesn't provide the context. We need the stack
trace in user space code where it was initiated and where it was
awaited. It's also not each low level socket operation that we want to
surface but some higher level concept which can span a sequence of I/O
operations but as far as user space is concerned.
Therefore this solution is anchored on stack traces and ignore listing
to determine what the interesting span is. It is somewhat
Promise-centric (and in particular async/await) because it allows us to
model an abstract span instead of just random I/O. Async/await points
are also especially useful because this allows Async Stacks to show the
full sequence which is not supported by random callbacks. However, if no
Promises are involved we still to our best to show the stack causing
plain I/O callbacks.
Additionally, we don't want to track all possible I/O. For example,
side-effects like logging that doesn't affect the rendering performance
doesn't need to be included. We only want to include things that
actually block the rendering output. We also need to track which data
blocks each component so that we can track which data caused a
particular subtree to suspend.
We can do this using `async_hooks` because we can track the graph of
what resolved what and then spawned what.
To track what suspended what, something has to resolve. Therefore it
needs to run to completion before we can show what it was suspended on.
So something that never resolves, won't be tracked for example.
We use the `async_hooks` in `ReactFlightServerConfigDebugNode` to build
up an `ReactFlightAsyncSequence` graph that collects the stack traces
for basically all I/O and Promises allocated in the whole app. This is
pretty heavy, especially the stack traces, but it's because we don't
know which ones we'll need until they resolve. We don't materialize the
stacks until we need them though.
Once they end up pinging the Flight runtime, we collect which current
executing task that pinged the runtime and then log the sequence that
led up until that runtime into the RSC protocol. Currently we only
include things that weren't already resolved before we started rendering
this task/component, so that we don't log the entire history each time.
Each operation is split into two parts. First a `ReactIOInfo` which
represents an I/O operation and its start/end time. Basically the start
point where it was start. This is basically represents where you called
`new Promise()` or when entering an `async function` which has an
implied Promise. It can be started in a different component than where
it's awaited and it can be awaited in multiple places. Therefore this is
global information and not associated with a specific Component.
The second part is `ReactAsyncInfo`. This represents where this I/O was
`await`:ed or `.then()` called. This is associated with a point in the
tree (usually the Promise that's a direct child of a Component). Since
you can have multiple different I/O awaited in a sequence technically it
forms a dependency graph but to simplify the model these awaits as
flattened into the `ReactDebugInfo` list. Basically it contains each
await in a sequence that affected this part from unblocking.
This means that the same `ReactAsyncInfo` can appear in mutliple
components if they all await the same `ReactIOInfo` but the same Promise
only appears once.
Promises that are only resolved by other Promises or immediately are not
considered here. Only if they're resolved by an I/O operation. We pick
the Promise basically on the border between user space code and ignored
listed code (`node_modules`) to pick the most specific span but abstract
enough to not give too much detail irrelevant to the current audience.
Similarly, the deepest `await` in user space is marked as the relevant
`await` point.
This feature is only available in the `node` builds of React. Not if you
use the `edge` builds inside of Node.js.
---------
Co-authored-by: Sebastian "Sebbie" Silbermann <silbermann.sebastian@gmail.com>
When streaming SSR while hydrating React will wait for Suspense
boundaries to be revealed by the SSR stream before attempting to hydrate
them. The rationale here is that the Server render is likely further
ahead of whatever the client would produce so waiting to let the server
stream in the UI is preferable to retrying on the client and possibly
delaying how quickly the primary content becomes available. However If
the connection closes early (user hits stop for instance) or there is a
server error which prevents additional HTML from being delivered to the
client this can put React into a broken state where the boundary never
resolves nor errors and the hydration never retries that boundary
freezing it in it's fallback state.
Once the document has fully loaded we know there is not way any
additional Suspense boundaries can arrive. This update changes react-dom
on the client to schedule client renders for any unfinished Suspense
boundaries upon document loading.
The technique for client rendering a fallback is pretty straight
forward. When hydrating a Suspense boundary if the Document is in
'complete' readyState we interpret pending boundaries as fallback
boundaries. If the readyState is not 'complete' we register an event to
retry the boundary when the DOMContentLoaded event fires.
To test this I needed JSDOM to model readyState. We previously had a
temporary implementation of readyState for SSR streaming but I ended up
implementing this as a mock of JSDOM that implements a fake readyState
that is mutable. It starts off in 'loading' readyState and you can
advance it by mutating document.readyState. You can also reset it to
'loading'. It fires events when changing states.
This seems like the least invasive way to get closer-to-real-browser
behavior in a way that won't require remembering this subtle detail
every time you create a test that asserts Suspense resolution order.
Shortcut for the common case where only a single flag is checked. Same
as `gate(flags => flags.enableFeatureFlag)`.
Normally I don't care about these types of conveniences but I'm about to
add a lot more inline flag checks these all over our tests and it gets
noisy. This helps a bit.
This ensures that we can keep overriding what runtime to use by
resetting modules while still using the automatic JSX plugin. This is
like the "inline requires" transform but just for JSX.
I got sick of trying to figure out workarounds to hide the extra stack
frame that appears due to the wrappers.
Stacked on #30401.
Previously we were transferring the original V8 stack trace string to
the client and then parsing it there. However, really the server is the
one that knows what format it is and it should be able to vary by server
environment.
We also don't use the raw string anymore (at least not in
enableOwnerStacks). We always create the native Error stacks.
The string also made it unclear which environment it is and it was
tempting to just use it as is.
Instead I parse it on the server and make it a structured stack in the
transfer format. It also makes it clear that it needs to be formatted in
the current environment before presented.
This is the first step to experimenting with a new type of stack traces
behind the `enableOwnerStacks` flag - in DEV only.
The idea is to generate stacks that are more like if the JSX was a
direct call even though it's actually a lazy call. Not only can you see
which exact JSX call line number generated the erroring component but if
that's inside an abstraction function, which function called that
function and if it's a component, which component generated that
component. For this to make sense it really need to be the "owner" stack
rather than the parent stack like we do for other component stacks. On
one hand it has more precise information but on the other hand it also
loses context. For most types of problems the owner stack is the most
useful though since it tells you which component rendered this
component.
The problem with the platform in its current state is that there's two
ways to deal with stacks:
1) `new Error().stack`
2) `console.createTask()`
The nice thing about `new Error().stack` is that we can extract the
frames and piece them together in whatever way we want. That is great
for constructing custom UIs like error dialogs. Unfortunately, we can't
take custom stacks and set them in the native UIs like Chrome DevTools.
The nice thing about `console.createTask()` is that the resulting stacks
are natively integrated into the Chrome DevTools in the console and the
breakpoint debugger. They also automatically follow source mapping and
ignoreLists. The downside is that there's no way to extract the async
stack outside the native UI itself so this information cannot be used
for custom UIs like errors dialogs. It also means we can't collect this
on the server and then pass it to the client for server components.
The solution here is that we use both techniques and collect both an
`Error` object and a `Task` object for every JSX call.
The main concern about this approach is the performance so that's the
main thing to test. It's certainly too slow for production but it might
also be too slow even for DEV.
This first PR doesn't actually use the stacks yet. It just collects them
as the first step. The next step is to start utilizing this information
in error printing etc.
For RSC we pass the stack along across over the wire. This can be
concatenated on the client following the owner path to create an owner
stack leading back into the server. We'll later use this information to
restore fake frames on the client for native integration. Since this
information quickly gets pretty heavy if we include all frames, we strip
out the top frame. We also strip out everything below the functions that
call into user space in the Flight runtime. To do this we need to figure
out the frames that represents calling out into user space. The
resulting stack is typically just the one frame inside the owner
component's JSX callsite. I also eagerly strip out things we expect to
be ignoreList:ed anyway - such as `node_modules` and Node.js internals.
Moving this to `internal-test-utils` so I can add helpers in the next PR
for:
- assertLogDev
- assertWarnDev
- assertErrorDev
Which will be exported from `internal-test-utils`. This isn't strictly
necessary, but it makes the factoring nicer, so internal-test-until
doesn't need to depend on `scripts/jest`.
Stacked on top of #28498 for test fixes.
### Don't Rethrow
When we started React it was 1:1 setState calls a series of renders and
if they error, it errors where the setState was called. Simple. However,
then batching came and the error actually got thrown somewhere else.
With concurrent mode, it's not even possible to get setState itself to
throw anymore.
In fact, all APIs that can rethrow out of React are executed either at
the root of the scheduler or inside a DOM event handler.
If you throw inside a React.startTransition callback that's sync, then
that will bubble out of the startTransition but if you throw inside an
async callback or a useTransition we now need to handle it at the hook
site. So in 19 we need to make all React.startTransition swallow the
error (and report them to reportError).
The only one remaining that can throw is flushSync but it doesn't really
make sense for it to throw at the callsite neither because batching.
Just because something rendered in this flush doesn't mean it was
rendered due to what was just scheduled and doesn't mean that it should
abort any of the remaining code afterwards. setState is fire and forget.
It's send an instruction elsewhere, it's not part of the current
imperative code.
Error boundaries never rethrow. Since you should really always have
error boundaries, most of the time, it wouldn't rethrow anyway.
Rethrowing also actually currently drops errors on the floor since we
can only rethrow the first error, so to avoid that we'd need to call
reportError anyway. This happens in RN events.
The other issue with rethrowing is that it logs an extra console.error.
Since we're not sure that user code will actually log it anywhere we
still log it too just like we do with errors inside error boundaries
which leads all of these to log twice.
The goal of this PR is to never rethrow out of React instead, errors
outside of error boundaries get logged to reportError. Event system
errors too.
### Breaking Changes
The main thing this affects is testing where you want to inspect the
errors thrown. To make it easier to port, if you're inside `act` we
track the error into act in an aggregate error and then rethrow it at
the root of `act`. Unlike before though, if you flush synchronously
inside of act it'll still continue until the end of act before
rethrowing.
I expect most user code breakages would be to migrate from `flushSync`
to `act` if you assert on throwing.
However, in the React repo we also have `internalAct` and the
`waitForThrow` helpers. Since these have to use public production
implementations we track these using the global onerror or process
uncaughtException. Unlike regular act, includes both event handler
errors and onRecoverableError by default too. Not just render/commit
errors. So I had to account for that in our tests.
We restore logging an extra log for uncaught errors after the main log
with the component stack in it. We use `console.warn`. This is not yet
ignorable if you preventDefault to the main error event. To avoid
confusion if you don't end up logging the error to console I just added
`An error occurred`.
### Polyfill
All browsers we support really supports `reportError` but not all test
and server environments do, so I implemented a polyfill for browser and
node in `shared/reportGlobalError`. I don't love that this is included
in all builds and gets duplicated into isomorphic even though it's not
actually needed in production. Maybe in the future we can require a
polyfill for this.
### Follow Ups
In a follow up, I'll make caught vs uncaught error handling be
configurable too.
---------
Co-authored-by: Ricky Hanlon <rickhanlonii@gmail.com>
## Summary
Based on
- https://github.com/facebook/react/pull/27903
This PR
- Silence warning in React tests
- Turn on flag
We want to finish cleaning up internal RTR usage, but let's prioritize
the deprecation process. We do this by silencing the internal warning
for now.
## How did you test this change?
`yarn build`
`yarn test ReactHooksInspectionIntegration -b`
If a global error event is dispatched during a test, Jest reports that
test as a failure.
Our `@gate` pragma feature should account for this — if the gate
condition is false, and the global error event is dispatched, then the
test should be reported as a success.
The solution is to install an error event handler right before invoking
the test function. Because we install our own handler, Jest will not
report the test as a failure if a global error event is dispatched; it's
conceptually as if we wrapped the whole test event in a try-catch.
When developing in an RSC environment, you should be able to work in a
single environment as if it was a unified environment. With thrown
errors we already serialize them and then rethrow them on the client.
Since by default we log them via onError both in Flight and Fizz, you
can get the same log in the RSC runtime, the SSR runtime and on the
client.
With console logs made in SSR renders, you typically replay the same
code during hydration on the client. So for example warnings already
show up both in the SSR logs and on the client (although not guaranteed
to be the same). You could just spend your time in the client and you'd
be fine.
Previously, RSC logs would not be replayed because they don't hydrate.
So it's easy to miss warnings for example.
With this approach, we replay RSC logs both during SSR so they end up in
the SSR logs and on the client. That way you can just stay in the
browser window during normal development cycles. You shouldn't have to
care if your component is a server or client component when working on
logical things or iterating on a product.
With this change, you probably should mostly ignore the Flight log
stream and just look at the client or maybe the SSR one. Unless you're
digging into something specific. In particular if you just naively run
both Flight and Fizz in the same terminal you get duplicates. I like to
run out fixtures `yarn dev:region` and `yarn dev:global` in two separate
terminals.
Console logs may contain complex objects which can be inspected. Ideally
a DevTools inspector could reach into the RSC server and remotely
inspect objects using the remote inspection protocol. That way complex
objects can be loaded on demand as you expand into them. However, that
is a complex environment to set up and the server might not even be
alive anymore by the time you inspect the objects. Therefore, I do a
best effort to serialize the objects using the RSC protocol but limit
the depth that can be rendered.
This feature is only own in dev mode since it can be expensive.
In a follow up, I'll give the logs a special styling treatment to
clearly differentiate them from logs coming from the client. As well as
deal with stacks.
Instead of createElement.
We should have done this when we initially released jsx-runtime but
better late than never. The general principle is that our tests should
be written using the most up-to-date idioms that we recommend for users,
except when explicitly testing an edge case or legacy behavior, like for
backwards compatibility.
Most of the diff is related to tweaking test output and isn't very
interesting.
I did have to workaround an issue related to component stacks. The
component stack logic depends on shared state that lives in the React
module. The problem is that most of our tests reset the React module
state and re-require a fresh instance of React, React DOM, etc. However,
the JSX runtime is not re-required because it's injected by the compiler
as a static import. This means its copy of the shared state is no longer
the same as the one used by React, causing any warning logged by the JSX
runtime to not include a component stack. (This same issue also breaks
string refs, but since we're removing those soon I'm not so concerned
about that.) The solution I went with for now is to mock the JSX runtime
with a proxy that re-requires the module on every function invocation. I
don't love this but it will have to do for now. What we should really do
is migrate our tests away from manually resetting the module state and
use import syntax instead.
- substr is Annex B
- substring silently flips its arguments if they're in the "wrong order", which is confusing
- slice is better than sliced bread (no pun intended) and also it works the same way on Arrays so there's less to remember
---
> I'd be down to just lint and enforce a single form just for the potential compression savings by using a repeated string.
_Originally posted by @sebmarkbage in https://github.com/facebook/react/pull/26663#discussion_r1170455401_
The old version of prettier we were using didn't support the Flow syntax
to access properties in a type using `SomeType['prop']`. This updates
`prettier` and `rollup-plugin-prettier` to the latest versions.
I added the prettier config `arrowParens: "avoid"` to reduce the diff
size as the default has changed in Prettier 2.0. The largest amount of
changes comes from function expressions now having a space. This doesn't
have an option to preserve the old behavior, so we have to update this.
* Add pragma for feature testing: @gate
The `@gate` pragma declares under which conditions a test is expected to
pass.
If the gate condition passes, then the test runs normally (same as if
there were no pragma).
If the conditional fails, then the test runs and is *expected to fail*.
An alternative to `it.experimental` and similar proposals.
Examples
--------
Basic:
```js
// @gate enableBlocksAPI
test('passes only if Blocks API is available', () => {/*...*/})
```
Negation:
```js
// @gate !disableLegacyContext
test('depends on a deprecated feature', () => {/*...*/})
```
Multiple flags:
```js
// @gate enableNewReconciler
// @gate experimental
test('needs both useEvent and Blocks', () => {/*...*/})
```
Logical operators (yes, I'm sorry):
```js
// @gate experimental && (enableNewReconciler || disableSchedulerTimeoutBasedOnReactExpirationTime)
test('concurrent mode, doesn\'t work in old fork unless Scheduler timeout flag is disabled', () => {/*...*/})
```
Strings, and comparion operators
No use case yet but I figure eventually we'd use this to gate on
different release channels:
```js
// @gate channel === "experimental" || channel === "modern"
test('works in OSS experimental or www modern', () => {/*...*/})
```
How does it work?
I'm guessing those last two examples might be controversial. Supporting
those cases did require implementing a mini-parser.
The output of the transform is very straightforward, though.
Input:
```js
// @gate a && (b || c)
test('some test', () => {/*...*/})
```
Output:
```js
_test_gate(ctx => ctx.a && (ctx.b || ctx.c, 'some test'), () => {/*...*/});
```
It also works with `it`, `it.only`, and `fit`. It leaves `it.skip` and
`xit` alone because those tests are disabled anyway.
`_test_gate` is a global method that I set up in our Jest config. It
works about the same as the existing `it.experimental` helper.
The context (`ctx`) argument is whatever we want it to be. I set it up
so that it throws if you try to access a flag that doesn't exist. I also
added some shortcuts for common gating conditions, like `old`
and `new`:
```js
// @gate experimental
test('experimental feature', () => {/*...*/})
// @gate new
test('only passes in new reconciler', () => {/*...*/})
```
Why implement this as a pragma instead of a runtime API?
- Doesn't require monkey patching built-in Jest methods. Instead it
compiles to a runtime function that composes Jest's API.
- Will be easy to upgrade if Jest ever overhauls their API or we switch
to a different testing framework (unlikely but who knows).
- It feels lightweight so hopefully people won't feel gross using it.
For example, adding or removing a gate pragma will never affect the
indentation of the test, unlike if you wrapped the test in a
conditional block.
* Compatibility with console error/warning tracking
We patch console.error and console.warning to track unexpected calls
in our tests. If there's an unexpected call, we usually throw inside
an `afterEach` hook. However, that's too late for tests that we
expect to fail, because our `_test_gate` runtime can't capture the
error. So I also check for unexpected calls inside `_test_gate`.
* Move test flags to dedicated file
Added some instructions for how the flags are set up and how to
use them.
* Add dynamic version of gate API
Receives same flags as the pragma.
If we ever decide to revert the pragma, we can codemod them to use
this instead.
Special version of Jest's `it` for experimental tests. Tests marked as
experimental will run **both** stable and experimental modes. In
experimental mode, they work the same as the normal Jest methods. In
stable mode, they are **expected to fail**. This means we can detect
when a test previously marked as experimental can be un-marked when the
feature becomes stable. It also reduces the chances that we accidentally
add experimental APIs to the stable builds before we intend.
I added corresponding methods for the focus and skip APIs:
- `fit` -> `fit.experimental`
- `it.only` -> `it.only.experimental` or `it.experimental.only`
- `xit` -> `xit.experimental`
- `it.skip` -> `it.skip.experimental` or `it.experimental.skip`
Since `it` is an alias of `test`, `test.experimental` works, too.
* Add new mock build of Scheduler with flush, yield API
Test environments need a way to take control of the Scheduler queue and
incrementally flush work. Our current tests accomplish this either using
dynamic injection, or by using Jest's fake timers feature. Both of these
options are fragile and rely too much on implementation details.
In this new approach, we have a separate build of Scheduler that is
specifically designed for test environments. We mock the default
implementation like we would any other module; in our case, via Jest.
This special build has methods like `flushAll` and `yieldValue` that
control when work is flushed. These methods are based on equivalent
methods we've been using to write incremental React tests. Eventually
we may want to migrate the React tests to interact with the mock
Scheduler directly, instead of going through the host config like we
currently do.
For now, I'm using our custom static injection infrastructure to create
the two builds of Scheduler — a default build for DOM (which falls back
to a naive timer based implementation), and the new mock build. I did it
this way because it allows me to share most of the implementation, which
isn't specific to a host environment — e.g. everything related to the
priority queue. It may be better to duplicate the shared code instead,
especially considering that future environments (like React Native) may
have entirely forked implementations. I'd prefer to wait until the
implementation stabilizes before worrying about that, but I'm open to
changing this now if we decide it's important enough.
* Mock Scheduler in bundle tests, too
* Remove special case by making regex more restrictive
* Throw in tests if work is done before emptying log
Test renderer already does this. Makes it harder to miss unexpected
behavior by forcing you to assert on every logged value.
* Convert ReactNoop tests to use jest matchers
The matchers warn if work is flushed while the log is empty. This is
the pattern we already follow for test renderer. I've used the same APIs
as test renderer, so it should be easy to switch between the two.
* Jest + test renderer helpers for concurrent mode
Most of our concurrent React tests use the noop renderer. But most
of those tests don't test the renderer API, and could instead be
written with the test renderer. We should switch to using the test
renderer whenever possible, because that's what we expect product devs
and library authors to do. If test renderer is sufficient for writing
most React core tests, it should be sufficient for others, too. (The
converse isn't true but we should aim to dogfood test renderer as much
as possible.)
This PR adds a new package, jest-react (thanks @cpojer). I've moved
our existing Jest matchers into that package and added some new ones.
I'm not expecting to figure out the final API in this PR. My goal is
to land something good enough that we can start dogfooding in www.
TODO: Continue migrating Suspense tests, decide on better API names
* Add additional invariants to prevent common errors
- Errors if user attempts to flush when log of yields is not empty
- Throws if argument passed to toClearYields is not ReactTestRenderer
* Better method names
- toFlushAll -> toFlushAndYield
- toFlushAndYieldThrough ->
- toClearYields -> toHaveYielded
Also added toFlushWithoutYielding
* Fix jest-react exports
* Tweak README
Adds custom Jest matchers that help with writing async tests:
- `toFlushThrough`
- `toFlushAll`
- `toFlushAndThrow`
- `toClearYields`
Each one accepts an array of expected yielded values, to prevent
false negatives.
Eventually I imagine we'll want to publish this on npm.
* Added toWarnInDev matcher and connected to 1 test
* Added .toLowPriorityWarnDev() matcher
* Reply Jest spy with custom spy. Unregister spy after toWarnDev() so unexpected console.error/warn calls will fail tests.
* console warn/error throws immediately in tests by default (if not spied on)
* Pass-thru console message before erroring to make it easier to identify
* More robustly handle unexpected warnings within try/catch
* Error message includes remaining expected warnings in addition to unexpected warning
* use different eslint config for es6 and es5
* remove confusing eslint/baseConfig.js & add more eslint setting for es5, es6
* more clear way to run eslint on es5 & es6 file
* seperate ESNext, ES6, ES6 path, and use different lint config
* rename eslint config file & update eslint rules
* Undo yarn.lock changes
* Rename a file
* Remove unnecessary exceptions
* Refactor a little bit
* Refactor and tweak the logic
* Minor issues
* Add a test-only transform to catch infinite loops
* Only track iteration count, not time
This makes the detection dramatically faster, and is okay in our case because we don't have tests that iterate so much.
* Use clearer naming
* Set different limits for tests
* Fail tests with infinite loops even if the error was caught
* Add a test
* Extract Jest config into a separate file
* Refactor Jest scripts directory structure
Introduces a more consistent naming scheme.
* Add yarn test-bundles and yarn test-prod-bundles
Only files ending with -test.public.js are opted in (so far we don't have any).
* Fix error decoding for production bundles
GCC seems to remove `new` from `new Error()` which broke our proxy.
* Build production version of react-noop-renderer
This lets us test more bundles.
* Switch to blacklist (exclude .private.js tests)
* Rename tests that are currently broken against bundles to *-test.internal.js
Some of these are using private APIs. Some have other issues.
* Add bundle tests to CI
* Split private and public ReactJSXElementValidator tests
* Remove internal deps from ReactServerRendering-test and make it public
* Only run tests directly in __tests__
This lets us share code between test files by placing them in __tests__/utils.
* Remove ExecutionEnvironment dependency from DOMServerIntegrationTest
It's not necessary since Stack.
* Split up ReactDOMServerIntegration into test suite and utilities
This enables us to further split it down. Good both for parallelization and extracting public parts.
* Split Fragment tests from other DOMServerIntegration tests
This enables them to opt other DOMServerIntegration tests into bundle testing.
* Split ReactDOMServerIntegration into different test files
It was way too slow to run all these in sequence.
* Don't reset the cache twice in DOMServerIntegration tests
We used to do this to simulate testing separate bundles.
But now we actually *do* test bundles. So there is no need for this, as it makes tests slower.
* Rename test-bundles* commands to test-build*
Also add test-prod-build as alias for test-build-prod because I keep messing them up.
* Use regenerator polyfill for react-noop
This fixes other issues and finally lets us run ReactNoop tests against a prod bundle.
* Run most Incremental tests against bundles
Now that GCC generator issue is fixed, we can do this.
I split ErrorLogging test separately because it does mocking. Other error handling tests don't need it.
* Update sizes
* Fix ReactMount test
* Enable ReactDOMComponent test
* Fix a warning issue uncovered by flat bundle testing
With flat bundles, we couldn't produce a good warning for <div onclick={}> on SSR
because it doesn't use the event system. However the issue was not visible in normal
Jest runs because the event plugins have been injected by the time the test ran.
To solve this, I am explicitly passing whether event system is available as an argument
to the hook. This makes the behavior consistent between source and bundle tests. Then
I change the tests to document the actual logic and _attempt_ to show a nice message
(e.g. we know for sure `onclick` is a bad event but we don't know the right name for it
on the server so we just say a generic message about camelCase naming convention).
