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Turn on LL_TESTS for Maint B.
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Try specifying the literal constants in the type we're comparing to.
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Since August 2023, we've seen occasional GitHub Windows build test runs
terminate with 0xC00000FD: stack overflow. We've usually responded by bumping
up the default coroutine stack size.
On closer examination, it's always llleap_test.cpp that blows up that way --
and llleap_test.cpp doesn't appear to use coroutines at all. So apparently
we've been consuming more address space for ALL viewer coroutines without
actually addressing the problem.
Reset the default coroutine stack size to where it was before we started
bumping it up in response to these llleap_test.cpp stack overflow failures.
Note that LLCoros already catches and reports Windows structured exceptions,
underscoring that the observed stack overflow is not from within a coroutine.
While at it, restore the Windows llleap_test.cpp data volume to match Posix.
We think the problem that led to reducing that data volume was an APR bug,
which we hope has been fixed.
Equip test.cpp, the test driver program for all our TUT unit and integration
tests, with a Windows structured exception handler. Try to treat a Windows
structured exception as a test failure -- instead of silently terminating with
0xC00000FD. Moreover, when a structured exception occurs, output a stack trace
so we can try to track it down.
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LF, and trim trailing whitespaces as needed
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# Conflicts:
# autobuild.xml
# indra/llcommon/llsys.cpp
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# Conflicts:
# indra/newview/llinventorygallery.cpp
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# Conflicts:
# indra/newview/fonts/DejaVu-license.txt
# indra/newview/fonts/DejaVuSans-Bold.ttf
# indra/newview/fonts/DejaVuSans-BoldOblique.ttf
# indra/newview/fonts/DejaVuSans-Oblique.ttf
# indra/newview/fonts/DejaVuSans.ttf
# indra/newview/fonts/DejaVuSansMono.ttf
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# Conflicts:
# indra/newview/llspatialpartition.cpp
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# Conflicts:
# indra/llrender/llgl.cpp
# indra/llrender/llvertexbuffer.cpp
# indra/llui/llflatlistview.cpp
# indra/newview/lldrawpoolground.cpp
# indra/newview/llspatialpartition.cpp
# indra/newview/lltexturefetch.cpp
# indra/newview/llviewergenericmessage.cpp
# indra/newview/llviewertexture.cpp
# indra/newview/llvosky.cpp
# indra/newview/skins/default/xui/en/floater_preferences_graphics_advanced.xml
# indra/newview/skins/default/xui/en/floater_stats.xml
# indra/newview/skins/default/xui/en/floater_texture_fetch_debugger.xml
# indra/newview/skins/default/xui/en/notifications.xml
# indra/newview/skins/default/xui/en/panel_performance_preferences.xml
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# Conflicts:
# indra/llcommon/CMakeLists.txt
# indra/newview/llspatialpartition.cpp
# indra/newview/llviewergenericmessage.cpp
# indra/newview/llvoavatar.cpp
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The test was coded to push (what's intended to be) the third entry with
timestamp (now + 200ms), then (what's intended to be) the second entry with
timestamp (now + 100ms).
The trouble is that it was re-querying "now" each time. On a slow CI host, the
clock might have advanced by more than 100ms between the first push and the
second -- meaning that the second push would actually have a _later_
timestamp, and thus, even with the queue sorting properly, fail the test's
order validation.
Capture the timestamp once, then add both time deltas to the same time point
to get the relative order right regardless of elapsed real time.
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We define a specialization of LLSDParam<const char*> to support passing an
LLSD object to a const char* function parameter. Needless to remark, passing
object.asString().c_str() would be Bad: destroying the temporary std::string
returned by asString() would immediately invalidate the pointer returned by
its c_str(). But when you pass LLSDParam<const char*>(object) as the
parameter, that specialization itself stores the std::string so the c_str()
pointer remains valid as long as the LLSDParam object does.
Then there's LLSDParam<LLSD>, used when we don't have the parameter type
available to select the LLSDParam specialization. LLSDParam<LLSD> defines a
templated conversion operator T() that constructs an LLSDParam<T> to provide
the actual parameter value. So far, so good.
The trouble was with the implementation of LLSDParam<LLSD>: it constructed a
_temporary_ LLSDParam<T>, implicitly called its operator T() and immediately
destroyed it. Destroying LLSDParam<const char*> destroyed its stored string,
thus invalidating the c_str() pointer before the target function was entered.
Instead, make LLSDParam<LLSD>::operator T() capture each LLSDParam<T> it
constructs, extending its lifespan to the lifespan of the LLSDParam<LLSD>
instance. For this, derive each LLSDParam specialization from LLSDParamBase, a
trivial base class that simply establishes the virtual destructor. We can then
capture any specialization as a pointer to LLSDParamBase.
Also restore LazyEventAPI tests on Mac.
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They do work fine on clang... unblocking the rest of the team during diagnosis.
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# Conflicts:
# autobuild.xml
# indra/llcommon/tests/llleap_test.cpp
# indra/newview/viewer_manifest.py
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The header file documents that no llrand function should ever return a value
equal to the passed extent, so the one test in llrand_test.cpp that checked
less than or equal to the high end of the range was anomalous.
But changing that to an exclusive range means that we no longer need separate
exclusive range and inclusive range functions. Replace
ensure_in_range_using(), ensure_in_exc_range() and ensure_in_inc_range() with
a grand unified (simplified) ensure_in_range() function.
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It's frustrating and unactionable to have a failing test report merely that
the random value was greater than the specified high end. Okay, so what was
the value? If it's supposed to be less than the high end, did it happen to be
equal? Or was it garbage? We can't reproduce the failure by rerunning!
The new ensure_in_exc_range(), ensure_in_inc_range() mechanism is somewhat
complex because exactly one test allows equality with the high end of the
expected range, where the rest mandate that the function return less than the
high end. If that's a bug in the test -- if every llrand function is supposed
to return less than the high end -- then we could simplify the test logic.
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Move hexdump() and hexmix() stream formatters to new hexdump.h for potential
use by other tests.
In toPythonUsing() helper function, add a temp file to receive Python script
debug output, and direct debug output to that file. On test failure, dump the
contents of that file to the log.
Give NamedTempFile::peep() an optional target std::ostream; refactor
implementation as peep_via() that accepts a callable to process each text
line. Add operator<<() to stream the contents of a NamedTempFile object to
ostream -- but don't use that with LL_DEBUGS(), as it flattens the file
contents into a single log line. Instead add peep_log(), which streams each
individual text line to LL_DEBUGS().
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# Conflicts:
# indra/llcommon/llsdserialize.cpp
# indra/llcommon/llsdserialize.h
# indra/llmath/llvolume.cpp
# indra/llrender/llgl.cpp
# indra/llxml/llcontrol.cpp
# indra/newview/llpanelnearbymedia.cpp
# indra/newview/llsceneview.cpp
# indra/newview/llselectmgr.cpp
# indra/newview/llstartup.cpp
# indra/newview/lltextureview.cpp
# indra/newview/llvovolume.cpp
# indra/newview/skins/default/xui/en/menu_viewer.xml
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# Conflicts:
# autobuild.xml
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Add LL::always_return<T>(), which takes a callable and variadic arguments. It
calls the callable with those arguments and, if the returned type is
convertible to T, converts it and returns it. Otherwise it returns T().
always_return() is generalized from, and supersedes,
LLEventDispatcher::ReturnLLSD.
Add LL::function_arity<CALLABLE>, which extends
boost::function_types::function_arity by reporting results for both
std::function<CALLABLE> and boost::function<CALLABLE>. Use for
LL::apply(function, LLSD array) as well as for LLEventDispatcher.
Make LLEventDispatcher::add() overloads uniformly distinguish between a
callable (whether non-static member function or otherwise) that accepts a
single LLSD parameter, versus any other signature. Accepting exactly one LLSD
parameter signals that the callable will accept the composite arguments LLSD
blob, instead of asking LLEventDispatcher to unpack the arguments blob into
individual arguments.
Support add(subclass method) overloads for arbitrary-parameters methods as
well as for (const LLSD&) methods. Update tests accordingly: we need no longer
pass the boilerplate lambda instance getter that binds and returns 'this'.
Extract to the two LLEventDispatcher::make_invoker() overloads the LL::apply()
logic formerly found in ReturnLLSD.
Change lleventdispatcher_test.cpp tests from boost::bind(), which accepts
variadic arguments (even though it only passes a fixed set to the target
callable), to fixed-signature lambdas. This is because the revamped add()
overloads care about signature.
Add a test for a non-static method that accepts (const LLSD&), in other words
the composite arguments LLSD blob, and likewise returns LLSD.
(cherry picked from commit 95b787f7d7226ee9de79dfc9816f33c8bf199aad)
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Specifically, add tests for:
- successful map batch
- map batch with some errors and a reply pump
- map batch with some errors and no reply
- successful array batch
- array batch with some errors and a reply pump
- array batch with some errors and no reply
(cherry picked from commit 078f0f5c9fb5075a8ad01cac417e1d7ee2b6a919)
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Fix lleventdispatcher_test.cpp's test class DispatchResult::strfunc(),
intfunc(), mapfunc() and arrayfunc() to return values derived from (not
identical to) their arguments, so we can reuse these functions for further
testing of passing arguments to a named callable. Adjust existing tests
accordingly.
(cherry picked from commit 07e09a8daea008d28b97399920db60a147cf75c0)
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Refine the special case of calling a nullary target function from an (event)
method, notably via LLDispatchListener.
(cherry picked from commit edcc52a9f60b1ec9b8f53603d6e2676558d41294)
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Add a new LLEventDispatcher constructor accepting not only the map key to
extract a requested function name, but a second map key to extract the
arguments -- when required.
In Doxygen comments, clarify the difference between the two constructors.
Move interaction with the LLEventPump subsystem to LLDispatchListener.
LLEventDispatcher is intended to be directly called. On error, instead of
looking for a "reply" key in the invocation LLSD, throw DispatchError.
Publish DispatchError, formerly an implementation detail, and its new subclass
DispatchMissing.
Make both LLEventDispatcher::operator()() overloads return LLSD, leveraging
the new internal ReturnLLSD logic that returns a degenerate LLSD blob for a
void target callable and, for compatible types, converts the returned value to
LLSD. Notably, the public try_call() overloads still return bool; any value
returned by the target callable is discarded.
Clarify the operator() and try_call() argument requirements for target
callables registered to accept an LLSD array, in Doxygen comments and in code.
In particular, the 'event' passed to (event) overloads (vs. the (name, event)
overloads) must be an LLSD map, so it must contain an "args" key (or the new
arguments map key specified to the constructor) containing the LLSD args
array.
Since the use of the new args key depends on whether the target callable is
registered to accept an array or a map, pass it into DispatchEntry::call()
(and all subclass overrides), along with a bool to disambiguate whether we
reached that method from an LLEventDispatcher (event) invocation method or a
(name, event) invocation method.
Allow streaming an LLEventDispatcher instance to std::ostream, primarily to
facilitate construction of proper error messages.
Revert the 'name' argument of internal try_call(key, name, event) to
std::string. Ditch try_call_log(), try_call_one() and reply(). Fold
try_call_one() logic into three-argument try_call().
Refactor callFail() as a template method accepting both the exception to throw
and arbitrary stringize() arguments from which to construct the exception
message. Non-static callFail() implicitly prepends the instance and a colon to
the rest of the arguments, and calls static sCallFail(). The latter constructs
the exception message, logs it and throws the specified exception. This
obviates try_call_log().
Make implementation detail helper class LLSDArgsMapper a private member of
LLEventDispatcher so it can access sCallFail(): we now want all error handling
to go through that method. Add LLSDArgsMapper::callFail() resembling
LLSDEventDispatcher::callFail(), but without having to specify the exception:
only LLEventDispatcher will throw anything but generic DispatchError.
Give LLEventDispatcher::ParamsDispatchEntry and its subclasses
ArrayParamsDispatchEntry and MapParamsDispatchEntry a new 'name' argument to
identify error messages. Store it and use it implicitly in new callFail()
method, very like LLSDArgsMapper::callFail(). Make LLEventDispatcher::
addArrayParamsDispatchEntry() and addMapParamsDispatchEntry() pass a 'name'
that includes the LLEventDispatcher instance name as well as the name of the
specific registered callable. This way we need not intercept a low-level error
and annotate it with contextual data: we can just let the exception propagate.
Make ParamsDispatchEntry::call() override catch LL::apply_error thrown by an
invoker_function, and pass its message to callFail(), i.e. rethrow as
LLEventDispatcher::DispatchError.
Introduce ArrayParamsDispatchEntry::call() override for the special logic to
extract an arguments array from a passed LLSD map -- but only under the
circumstances described in the Doxygen comment.
Add similar logic to MapParamsDispatchEntry::call(), but with both argskey
itself and a value for argskey optional in the passed LLSD map.
Because LLEventDispatcher now has two constructor overloads, allow subclass
constructor LLDispatchListener() to accept zero or more trailing arguments.
This is different than giving LLDispatchListener's constructor a default final
argument, in that the subclass doesn't need to specify its default value:
that's up to the base-class constructor. But it does require that the subclass
constructor move to the header file.
Move private LLEventDispatcher::reply() method to LLDispatchListener. Extend
LLDispatchListener::process() to handle DispatchError by attempting to reply
with a map containing an "error" key, per convention. (In other words, move
that logic from LLEventDispatcher to LLDispatchListener.) Also, for a map LLSD
result, attempt to reply with that result; for other defined LLSD types,
attempt to reply with a map containing a "data" key. This is backwards
compatible with previous behavior because all previous LLDispatchListener
subclass methods returned void, which now produces an undefined LLSD blob,
which we don't bother trying to send in reply.
In lleventdispatcher_test.cpp, rework tut::lleventdispatcher_data::call_exc()
yet again to catch DispatchError instead of listening for an LLEventPump reply
event. Similarly, make call_logerr() catch DispatchError. Since the exception
should also be logged, we ignore it and focus on the log, as before.
Add tests <23> to <27>, exercising calls to new class DispatchResult methods
returning string, int, LLSD map, LLSD array and void.
(cherry picked from commit 2f9c915dd3d5137b5b2b1a57f0179e1f7a090f8c)
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(cherry picked from commit 374eb409b98795158b36e232f670d1302f31b9ff)
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While calling a C++ function with arguments taken from a runtime-variable data
structure necessarily involves a bit of hocus-pocus, the best you can say for
the boost::fusion based implementation is that it worked. Sadly, template
recursion limited its applicability to a handful of function arguments. Now
that we have LL::apply(), use that instead. This implementation is much more
straightforward.
In particular, the LLSDArgsSource class, whose job was to dole out elements of
an LLSD array one at a time for the template recursion, goes away entirely.
Make virtual LLEventDispatcher::DispatchEntry::call() return LLSD instead of
void. All LLEventDispatcher target functions so far have been void; any
function that wants to respond to its invoker must do so explicitly by calling
sendReply() or constructing an LLEventAPI::Response instance. Supporting non-
void functions permits LLEventDispatcher to respond implicitly with the
returned value. Of course this requires a wrapper for void target functions
that returns LLSD::isUndefined().
Break out LLEventDispatcher::reply() from callFail(), so we can reply with
success as well as failure.
Make LLEventDispatcher::try_call_log() prepend the actual leaf class name and
description to any error returned by three-arg try_call(). That try_call()
overload reported "LLEventDispatcher(desc): " for a couple specific errors,
but no others. Hoist to try_call_log() to apply uniformly.
Introduce new try_call_one() method to diagnose name-not-found errors and
catch internal DispatchError and LL::apply_error exceptions. try_call_one()
returns a std::pair, containing either an error message or an LLSD value.
Make try_call_log() and three-arg try_call() accept LLSD 'name' instead of
plain std::string, allowing for the possibility of an array or map. That lets
us extend three-arg try_call() to break out new cases for the function selector
LLSD: isUndefined(), isArray(), isMap() and (current case) scalar String.
If try_call_one() reports an error, log it and try to send reply, as now. If
it returns LLSD::isUndefined(), e.g. from a void target function wrapper, do
nothing. But if it returns an LLSD map, try to send that back to the invoker.
And if it returns an LLSD scalar or array, wrap it in a map with key "data" to
respond to the invoker. Allowing a target function to return its result rather
than explicitly sending it opens the possibility of batched requests
(aggregate 'name') returning batched responses.
Almost every place that constructs LLEventDispatcher's internal DispatchError
exception called stringize() to format the what() string. Simplify calls by
making DispatchError accept variadic arguments and forward to stringize().
Add LL::invoke() to apply.h. Like LL::apply(), this is a (limited) C++14
foreshadowing of std::invoke(), with preprocessor conditionals to switch to
std::invoke() when that's available. Introduce LL::invoke() to handle a
callable that's actually a pointer to method.
Now our C++14 apply() implementation can accept pointer to method, using
invoke() to generalize the actual function call.
Also anticipate std::bind_front() with LL::bind_front(). For apply(func,
std::array) and our extensions apply(func, std::vector) and apply(func, LLSD),
we can't pass a pointer to method as the func unless the second argument
happens to be an array or vector of pointers (or references) to instances of
exactly the right class -- and of course LLSD can't store such at all. It's
tempting to pass std::bind(std::mem_fn(ptr_to_method), instance), but that
won't work: std::bind() requires a value or placeholder for each argument to
pass to the bound function. The bind() expression above would only work for a
nullary method. std::bind_front() would work, but that doesn't arrive until
C++20. Again, once we get there we'll defer to the std:: implementation.
Instead of the generic __cplusplus, check the appropriate feature-test macro
for availability of each of std::invoke(), std::apply() and std::bind_front().
Change apply() error handling from assert() to new LL::apply_error exception.
LLEventDispatcher must be able to intercept apply() errors. Move validation
and synthesis of the relevant error message to new apply.cpp source file.
Add to llptrto.h new LL::get_ref() and LL::get_ptr() template functions to
unify the cases of a calling template accepting either a pointer or a
reference. Wrapping the parameter in either get_ref() or get_ptr() allows
dereferencing the parameter as desired.
Move LL::apply(function, LLSD) argument validation/manipulation to a non-
template function in llsdutil.cpp: no need to replicate that logic in the
template for every CALLABLE specialization.
The trouble with passing bind_front(std::mem_fn(ptr_to_method), instance) to
apply() is that since bind_front() accepts and forwards variadic additional
arguments, apply() can't infer the arity of the bound ptr_to_method. Address
that by introducing apply_n<arity>(function, LLSD), permitting a caller to
infer the arity of ptr_to_method and explicitly pass it to apply_n().
Polish up lleventdispatcher_test.cpp accordingly. Wrong LLSD type and wrong
number of arguments now produce different (somewhat more informative) error
messages. Moreover, passing too many entries in an LLSD array used to work:
the extra arguments used to be ignored. Now we require that the size of the
array match the arity of the target function. Change the too-many-arguments
tests from success testing to error testing.
Replace 'foreach' aka BOOST_FOREACH macro invocations with range 'for'.
Replace STRINGIZE(item0 << item1 << ...) with stringize(item0, item1, ...).
(cherry picked from commit 9c049563b5480bb7e8ed87d9313822595b479c3b)
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(cherry picked from commit 7d33e00d925614911a7602da1bd79916cc849ad7)
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Add to apply_test.cpp a collect() function that incrementally accumulates an
arbitrary number of arguments into a std::vector<std::string>. Construct a
std::array<std::string> to pass it, using VAPPLY().
Clarify in header comments that LL::apply() can't call a variadic function
with arguments of dynamic size: std::vector or LLSD. The compiler can deduce
how many arguments to pass to a function with a fixed argument list; it can
deduce how many arguments to pass to a variadic function with a fixed number
of arguments. But it can't compile a call to a variadic function with an
arguments data structure whose size can vary at runtime.
(cherry picked from commit ceed33396266b123896f7cfb9b90abdf240e1eec)
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Make apply(function, std::array) and apply(function, std::vector) available
even when we borrow the C++17 implementation of apply(function, std::tuple).
Add apply(function, LLSD) with interpretations:
* isUndefined() is treated as an empty array, for calling a nullary function
* scalar LLSD is treated as a single-entry array, for calling a unary function
* isArray() converts function parameters using LLSDParam
* isMap() is an error.
Add unit tests for all flavors of LL::apply().
(cherry picked from commit 3006c24251c6259d00df9e0f4f66b8a617e6026d)
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Always search for python3[.exe] instead of plain 'python'. macOS Monterey no
longer bundles Python 2 at all.
Explicitly make PYTHON_EXECUTABLE a cached value so if the user edits it in
CMakeCache.txt, it won't be overwritten by indra/cmake/Python.cmake.
Do NOT set DYLD_LIBRARY_PATH for test executables! That has Bad Effects, as
discussed in https://stackoverflow.com/q/73418423/5533635. Instead, create
symlinks from build-mumble/sharedlibs/Resources -> Release/Resources and from
build-mumble/test/Resources -> ../sharedlibs/Release/Resources. For test
executables in sharedlibs/RelWithDebInfo and test/RelWithDebInfo, this
supports our dylibs' baked-in load path @executable_path/../Resources. That
load path assumes running in a standard app bundle (which the viewer in fact
does), but we've been avoiding creating an app bundle for every test program.
These symlinks allow us to continue doing that while avoiding
DYLD_LIBRARY_PATH.
Add indra/llcommon/apply.h. The LL::apply() function and its wrapper macro
VAPPLY were very useful in diagnosing the problem.
Tweak llleap_test.cpp. This source was modified extensively for diagnostic
purposes; these are the small improvements that remain.
(cherry picked from commit 15d37713b9113a6f70dde48c764df02c76e18cbc)
(cherry picked from commit a1adcf1905d1fbc5fe07ff5a627295ccfe461ac4)
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Bring over part of the LLEventDispatcher work inspired by DRTVWR-558.
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Normalize the case of the name of the temp directory for string comparison.
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Turns out that the pathname of the Python executable wasn't the issue.
This reverts commit 7dc6211ad5ea83685a35c6fff740278343aa8b9d.
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On GitHub Windows runners, trying to make build.yaml set PYTHON=python in the
environment doesn't work: integration tests still fail with "Access is denied"
because they're still trying to execute the interpreter's full pathname.
Instead, make llprocess_test and llleap_test detect the case of GitHub Windows
and override the environment variable PYTHON with a baked-in string constant
"python".
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instead of a new value for each LLProcess::create() invocation.
Since the internal apr_log() function only looks at APR_LOG once per process,
the first test (which succeeded, hence no log file dump) left the log file
open with that same original pathname. Resetting the APR_LOG environment
variable for subsequent runs only made the new code in llprocess_test look for
files that were never created.
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